Liquidity+FVG+OB Strategy (v6)How the strategy works (summary)
Entry Long when a Bullish FVG is detected (optionally requires a recent Bullish OB).
Entry Short when a Bearish FVG is detected (optionally requires a recent Bearish OB).
Stop Loss and Take Profit are placed using ATR multiples (configurable).
Position sizing is fixed contract/lot size (configurable).
You can require OB confirmation (within ob_confirm_window bars).
Alerts still exist and visuals are preserved.
Pesquisar nos scripts por "liquidity"
Liquidity Levels [LuxAlgo]The Peak Activity Levels indicator displays support and resistance levels from prices accompanied by significant volume. The indicator includes a histogram returning the frequency of closing prices falling between two parallel levels, each bin shows the number of bullish candles within the levels.
1. Settings
Length: Lookback for the detection of volume peaks.
Number Of Levels: Determines the number of levels to display.
Levels Color Mode: Determines how the levels should be colored. "Relative" will color the levels based on their location relative to the current price. "Random" will apply a random color to each level. "Fixed" will use a single color for each level.
Levels Style: Style of the displayed levels. Styles include solid, dashed, and dotted.
1.1 Histogram
Show Histogram: Determines whether to display the histogram or not.
Histogram Window: Lookback period of the histogram calculation.
Bins Colors: Control the color of the histogram bins.
2. Usage
The indicator can be used to display ready-to-use support and resistance. These are constructed from peaks in volume. When a peak occurs, we take the price where this peak occurred and use it as the value for our level.
If one of the levels was previously tested, we can hypothesize that the level might be used as support/resistance in the future. Additional analysis using volume can be done in order to confirm a potential bounce.
The histogram can return various information to the user. It can show if the price stayed within two levels for a long time and if the price within two levels was mostly made of bullish or bearish candles.
In the chart above, we can see that over the most recent 200 bars (determined by Histogram Window) 68 closing prices fall between levels A and B, with 27 bars being bullish.
Additionally, the width of a bin and its length can sometimes give information about the volatility of a specific price variation. If a bin is very wide but short (a low number of closing prices fallen within the levels) then we can conclude a most of the movement was done on a short amount of time.
Trend Gazer v5# Trend Gazer v5: Professional Multi-Timeframe ICT Analysis System
## 📊 Overview
**Trend Gazer v5** is a comprehensive institutional-grade trading system that synthesizes multiple proven methodologies into a unified analytical framework. This indicator combines **ICT (Inner Circle Trader) concepts**, **Smart Money Structure**, **Order Block detection**, **Fair Value Gaps**, and **volumetric analysis** to provide traders with high-probability trade setups backed by institutional footprints.
Unlike fragmented indicators that force traders to switch between multiple tools, Trend Gazer v5 delivers a **holistic market view** in a single overlay, eliminating analysis paralysis and enabling confident decision-making.
---
## 🎯 Why This Combination is Necessary
### The Problem with Single-Concept Indicators
Traditional indicators suffer from three critical flaws:
1. **Isolated Context** - Price action, volume, and structure are analyzed separately, creating conflicting signals
2. **Timeframe Blindness** - Single-timeframe analysis misses institutional activity occurring across multiple timeframes
3. **Lagging Confirmation** - Waiting for one indicator to confirm another causes missed entries and late exits
### The Institutional Trading Reality
Professional traders and institutions operate across **multiple dimensions simultaneously**:
- **Structural Context**: Where are we in the market cycle? (CHoCH, SiMS, BoMS)
- **Order Flow**: Where is institutional supply and demand concentrated? (Order Blocks)
- **Inefficiencies**: Where are price imbalances that must be filled? (Fair Value Gaps)
- **Momentum Context**: Is volume expanding or contracting? (VWC/TBOSI)
- **Mean Reversion Points**: Where do institutions expect rebounds? (NPR/BB, EMAs)
**Trend Gazer v5 unifies these dimensions**, creating a complete picture of market microstructure that individual indicators cannot provide.
---
## 🔬 Core Analytical Framework
### 1️⃣ ICT Donchian Smart Money Structure
**Purpose**: Identify institutional market structure shifts that precede major moves.
**Components**:
- **CHoCH (Change of Character)** - Market structure break signaling trend exhaustion
- `1.CHoCH` (Bullish) - Lower low broken, shift to bullish structure
- `A.CHoCH` (Bearish) - Higher high broken, shift to bearish structure
- **SiMS (Shift in Market Structure)** - Initial structure shift (2nd occurrence)
- **BoMS (Break of Market Structure)** - Continuation structure (3rd+ occurrence)
**Why It's Essential**:
Retail traders react to price changes. Institutions **create** price changes by breaking structure. By detecting these shifts using **Donchian channels** (the purest form of high/low tracking), we identify the exact moments when institutional bias changes.
**Credit**: Based on *ICT Donchian Smart Money Structure* by Zeiierman (CC BY-NC-SA 4.0)
---
### 2️⃣ Multi-Timeframe Order Block Detection
**Purpose**: Map institutional supply/demand zones where price is likely to reverse.
**Methodology**:
Order Blocks represent the **last opposite-direction candle** before a strong move. These zones indicate where institutions accumulated (bullish OB) or distributed (bearish OB) positions.
**Multi-Timeframe Coverage**:
- **1-minute**: Scalping zones for day traders
- **3-minute**: Short-term swing zones
- **15-minute**: Intraday institutional zones
- **60-minute**: Daily swing zones
- **Current TF**: Dynamic adaptation to any chart timeframe
**Key Features**:
- **Bounce Detection** - Identifies when price rebounds from OB zones (Signal 7: 🎯 OB Bounce)
- **Breaker Tracking** - Monitors when OBs are violated, converting bullish OBs to resistance and vice versa
- **Visual Rendering** - Color-coded boxes with transparency showing OB strength
- **OB Direction Filter** - Blocks contradictory signals (no SELL in bullish OB, no BUY in bearish OB)
**Why MTF Order Blocks Matter**:
A 60-minute Order Block represents institutional positioning at a larger timeframe. When combined with a 3-minute entry signal, you're trading **with** the big players, not against them.
---
### 3️⃣ Fair Value Gap (FVG) Detection
**Purpose**: Identify price inefficiencies that institutional traders must eventually fill.
**What Are FVGs?**:
Fair Value Gaps occur when price moves so rapidly that it leaves an **imbalance** - a gap between the high of one candle and the low of the candle two bars later (or vice versa). Institutions view these as inefficient pricing that must be corrected.
**Detection Logic**:
```
Bullish FVG: high < low → Gap up = Bearish imbalance (expect downward fill)
Bearish FVG: low > high → Gap down = Bullish imbalance (expect upward fill)
```
**Visual Design**:
- **Bullish FVG**: Green boxes (support zones where price should bounce)
- **Bearish FVG**: Red boxes (resistance zones where price should reject)
- **Mitigation Tracking**: FVGs disappear when filled, signaling completion
- **Volume Attribution**: Each FVG tracks associated buying/selling volume
**Why FVGs Are Critical**:
Institutions operate on **efficiency**. Gaps represent inefficiency. When price returns to fill a gap, it's not random - it's institutional traders **correcting market inefficiency**. Trading into FVG fills offers exceptional risk/reward.
---
### 4️⃣ Volumetric Weighted Cloud (VWC/TBOSI)
**Purpose**: Detect momentum shifts and trend strength using volume-weighted price action.
**Mechanism**:
VWC applies **volatility weighting** to moving averages, creating a dynamic cloud that expands during high-volatility trends and contracts during consolidation.
**Multi-Timeframe Analysis**:
- **1m, 3m, 5m**: Micro-scalping momentum
- **15m**: Intraday trend confirmation
- **60m, 240m**: Swing trade trend validation
**Signal Generation**:
- **VWC Switch (Signal 2)**: When cloud color flips (red → green or green → red), indicating momentum reversal
- **VWC Status Table**: Real-time display of trend direction across all timeframes
**Why Volume-Weighting Matters**:
Traditional moving averages treat all bars equally. VWC gives **more weight to high-volume bars**, ensuring that signals reflect actual institutional participation, not low-volume noise.
---
### 5️⃣ Non-Repaint STDEV (NPR) & Bollinger Bands
**Purpose**: Identify extreme mean-reversion points without repainting.
**Problem with Traditional Indicators**:
Many indicators **repaint** - they change past values when new data arrives, making backtests misleading. NPR uses **lookahead bias prevention** to ensure signals remain fixed.
**Configuration**:
- **15-minute NPR/BB**: Intraday volatility bands
- **60-minute NPR/BB**: Swing trade extremes
- **Multiple Kernel Options**: Exponential, Simple, Double Exponential, Triple Exponential for different smoothing profiles
**Signal Logic (Signal 8)**:
- **BUY**: Price closes **inside** lower band (not just touching it) → Extreme oversold with institutional absorption likely
- **SELL**: Price closes **inside** upper band → Extreme overbought with institutional distribution likely
**Why NPR is Superior**:
Repainting indicators give traders false confidence in backtests. NPR ensures every signal you see in history is **exactly** what a trader would have seen in real-time.
---
### 6️⃣ 💎 STRONG CHoCH Pattern Detection
**Purpose**: Identify the highest-probability setups when multiple CHoCH confirmations align within a tight timeframe.
**Pattern Logic**:
**STRONG BUY Pattern**:
```
1.CHoCH → A.CHoCH → 1.CHoCH (within 20 bars)
```
This sequence indicates:
1. Initial bullish structure shift
2. Bearish retest (pullback)
3. **Renewed bullish confirmation** - Institutions are re-accumulating after shaking out weak hands
**STRONG SELL Pattern**:
```
A.CHoCH → 1.CHoCH → A.CHoCH (within 20 bars)
```
This sequence indicates:
1. Initial bearish structure shift
2. Bullish retest (dead cat bounce)
3. **Renewed bearish confirmation** - Institutions are re-distributing after trapping longs
**Visual Display**:
```
💎 BUY
```
- **0% transparency** (fully opaque) - Maximum visual priority
- Displayed **immediately** when pattern completes (no additional signal required)
- Independent of Market Structure filter (pattern itself is the confirmation)
**Why STRONG Signals Are Different**:
- **Triple Confirmation**: Three structure shifts eliminate false breakouts
- **Tight Timeframe**: 20-bar window ensures institutional conviction, not random noise
- **Automatic Display**: No waiting for price action - the pattern itself triggers the alert
- **Historical Validation**: This specific sequence has proven to precede major institutional moves
**Risk Management**:
STRONG signals offer the best risk/reward because:
1. Stop loss can be placed beyond the middle CHoCH (tight risk)
2. Target can be set at next major structure level (large reward)
3. Pattern failure is immediately evident (quick exit if wrong)
---
### 7️⃣ Multi-EMA Framework
**Purpose**: Provide dynamic support/resistance and trend context.
**EMA Configuration**:
- **EMA 7**: Micro-trend (scalping)
- **EMA 20**: Short-term trend
- **EMA 50**: Institutional pivot (Signal 6: EMA50 Bounce)
- **EMA 100**: Mid-term trend filter
- **EMA 200**: Major institutional support/resistance
- **EMA 400, 800**: Macro trend context
**Visual Fills**:
- Color-coded fills between EMAs create **visual trend strength zones**
- Convergence = consolidation
- Divergence = trending market
**Why 7 EMAs?**:
Each EMA represents a different **participant timeframe**:
- EMA 7/20: Day traders and scalpers
- EMA 50/100: Swing traders
- EMA 200/400/800: Position traders and institutions
When all EMAs align, **all participant types agree on direction** - the highest-probability trend trades.
---
## 🚀 8-Signal Trading System
Trend Gazer v5 employs **8 distinct signal conditions** (all enabled by default), each designed to capture different market regimes:
### ⭐ Signal Hierarchy & Trading Philosophy
**IMPORTANT**: Not all signals are created equal. The indicator displays a hierarchy of signal quality:
**PRIMARY SIGNALS (Trade These)**:
- 💎 **STRONG BUY/SELL** - Triple-confirmed CHoCH patterns (highest priority)
- 🌟 **Star Signals (S7, S8)** - High-probability institutional zone reactions
- Signal 7: Order Block Bounce
- Signal 8: 60m NPR/BB Bounce
**AUXILIARY SIGNALS (Confirmation & Context)**:
- **Signals 1-6** - Use these as:
- **Confirmation** for Star Signals (when multiple signals align)
- **Context** for understanding market conditions
- **Early warnings** of potential moves (validate before trading)
- **Additional filters** (e.g., "only trade Star Signals that also have Signal 1")
**Trading Recommendation**:
- **Conservative Traders**: Trade ONLY 💎 STRONG and 🌟 Star Signals
- **Moderate Traders**: Trade Star Signals + validated auxiliary signals (2+ signal confirmation)
- **Active Traders**: Use all signals with proper risk management
The visual transparency system reinforces this hierarchy:
- 0% transparent = STRONG (💎) - Highest conviction
- 50% transparent = Star (🌟) + OB signals - High quality
- 70% transparent = Auxiliary (S1-S6) - Supplementary information
### Signal 1: RSI Shift + Structure (AND Logic)
**Strictest Signal** - Requires both RSI momentum confirmation AND structure change.
- **Use Case**: High-conviction trades in trending markets
- **Frequency**: Least frequent, highest accuracy
### Signal 2: VWC Switch (OR Logic)
**Most Frequent Signal** - Triggers on any VWC color flip across monitored timeframes.
- **Use Case**: Capturing early momentum shifts
- **Frequency**: Most frequent, good for active traders
### Signal 3: Structure Change
**Bar Color Change with RSI Confirmation** - Detects when candle color shifts with supporting RSI.
- **Use Case**: Trend continuation trades
- **Frequency**: Moderate
### Signal 4: BB Breakout + RSI
**Bollinger Band Breakout Reversal** - Price breaks band then immediately reverses.
- **Use Case**: Fade false breakouts
- **Frequency**: Moderate, excellent risk/reward
### Signal 5: BB/EMA50 Break
**Aggressive Breakout Signal** - Price breaks both BB and EMA50 simultaneously.
- **Use Case**: Momentum breakout trades
- **Frequency**: Moderate-high
### Signal 6: EMA50 Bounce Reversal
**Mean Reversion at EMA50** - Price touches EMA50 and bounces.
- **Use Case**: Trading pullbacks in strong trends
- **Frequency**: Moderate, reliable
### Signal 7: 🌟 OB Bounce (Star Signal)
**Order Block Bounce** - Price enters OB zone and reverses.
- **Use Case**: Institutional zone reactions
- **Frequency**: Low, but extremely high quality
- **Special Features**:
- 🎯 **OB Bounce Label**: `🌟 🎯 BUY/SELL ` - Actual Signal 7 bounce from visible OB
- 📍 **In OB Label**: `📍 BUY/SELL ` - Other signals (S1-6, S8) occurring inside an OB zone
- **OB Direction Filter**: Blocks contradictory signals (no SELL in bullish OB, no BUY in bearish OB)
### Signal 8: 🌟 60m NPR/BB Bounce (Star Signal)
**Extreme Mean-Reversion** - Price closes **inside** 60m NPR/BB bands at extremes.
- **Use Case**: Capturing institutional absorption at extremes
- **Frequency**: Low, exceptional win rate
- **Special Logic**: Candle close must be **INSIDE** bands, not just touching (prevents false breakouts)
### 💎 STRONG Signals (Bonus)
**CHoCH Pattern Completion** - Triple-confirmed structure shifts.
- **STRONG BUY**: `1.CHoCH → A.CHoCH → 1.CHoCH (≤20 bars)`
- **STRONG SELL**: `A.CHoCH → 1.CHoCH → A.CHoCH (≤20 bars)`
- **Display**: Immediate upon pattern completion (independent signal)
- **Use Case**: Highest-conviction institutional trend shifts
---
## 🎨 Visual Design Philosophy
### Signal Hierarchy via Transparency
**0% Transparency (Opaque)**:
- 💎 **STRONG BUY/SELL** - Highest priority, institutional pattern confirmation
**50% Transparency**:
- 🌟 **Star Signals** (S7, S8) - High-quality mean reversion
- 🎯 **OB Bounce** - Institutional zone reaction
- 📍 **In OB** - Enhanced signal in institutional zone
- **CHoCH Labels** (1.CHoCH, A.CHoCH) - Structure shift markers
**70% Transparency**:
- **Regular Signals** (S1-S6) - Standard trade setups
This visual hierarchy ensures traders **instantly recognize** high-priority setups without analysis paralysis.
### Color Scheme: Japanese Candlestick Convention
**Bullish = Red | Bearish = Blue/Green**
This follows traditional Japanese candlestick methodology where:
- **Red (Yang)**: Positive energy, rising prices, bullish
- **Blue/Green (Yin)**: Negative energy, falling prices, bearish
While Western conventions often reverse this, we maintain **ICT and institutional conventions** for consistency with professional trading rooms.
---
## 📡 Alert System
### Any Alert (Automatic)
**8 Events Monitored**:
1. 💎 **STRONG BUY** - Pattern: `1.CHoCH → A.CHoCH → 1.CHoCH`
2. 💎 **STRONG SELL** - Pattern: `A.CHoCH → 1.CHoCH → A.CHoCH`
3. ⭐ **Star BUY** - Signal 7 or 8
4. ⭐ **Star SELL** - Signal 7 or 8
5. 📍 **BUY (in OB)** - Any signal inside Bullish Order Block
6. 📍 **SELL (in OB)** - Any signal inside Bearish Order Block
7. **Bullish CHoCH** - Market structure shift to bullish
8. **Bearish CHoCH** - Market structure shift to bearish
**Format**: `TICKER TIMEFRAME EventName`
**Example**: `BTCUSDT 5 💎 STRONG BUY`
### Individual alertcondition() Options
Create custom alerts for specific events:
- BUY/SELL Signals (all or filtered)
- Star Signals Only (S7/S8)
- STRONG Signals Only (💎)
- CHoCH Events Only
- Bullish/Bearish CHoCH separately
---
## ⚙️ Configuration & Settings
### ICT Structure Filter (DEFAULT ON ⭐)
**Enable Structure Filter**: Display signals ONLY after CHoCH/SiMS/BoMS
- **Purpose**: Filter out noise by requiring institutional confirmation
- **Recommendation**: Keep enabled for disciplined trading
**Show Structure Labels (DEFAULT ON ⭐)**: Display CHoCH/SiMS/BoMS labels
- **Purpose**: Visual confirmation of market structure state
- **Labels**:
- `1.CHoCH` (Red background, white text) - Bullish structure shift
- `A.CHoCH` (Blue background, white text) - Bearish structure shift
- `2.SMS` / `B.SMS` (Red/Blue text) - Shift in Market Structure (2nd occurrence)
- `3.BMS` / `C.BMS` (Red/Blue text) - Break of Market Structure (3rd+ occurrence)
**Structure Period**: Default 3 bars (ICT standard)
### Order Block Configuration
**Enable Multi-Timeframe OBs**: Detect OBs from multiple timeframes simultaneously
**Mitigation Options**:
- Close - OB invalidated when candle closes through it
- Wick - OB invalidated when wick touches it
- 50% - OB invalidated when 50% of zone is violated
**Show OBs from**:
- Current Timeframe (always)
- 1m, 3m, 15m, 60m (selectable)
### Fair Value Gap Settings
**Show FVGs**: Enable/disable FVG rendering
**Mitigation Source**: Wick, Close, or 50% fill
**Color Customization**: Bullish FVG (green), Bearish FVG (red)
### Signal Filters
**Show ONLY Star Signals (DEFAULT OFF)**:
- When ON: Display only S7 (OB Bounce) and S8 (NPR/BB Bounce)
- When OFF: Display all signals S1-S8 (DEFAULT)
- **Use Case**: Focus on highest-quality setups, ignore noise
### Visual Settings
**EMA Display**: Toggle individual EMAs on/off
**VWC Cloud**: Enable/disable volumetric cloud
**NPR/BB Bands**: Show/hide 15m and 60m bands
**Status Table**: Real-time VWC status across all timeframes
---
## 📚 How to Use
### For Scalpers (1m-5m Charts)
1. Enable **1m and 3m Order Blocks**
2. Watch for **Signal 2 (VWC Switch)** or **Signal 5 (BB/EMA50 Break)**
3. Confirm with **1m/3m MTF OB** as support/resistance
4. Use **FVGs** for micro-target setting
5. Set alerts for **Star BUY/SELL** for highest-quality scalps
### For Day Traders (15m-60m Charts)
1. Enable **15m and 60m Order Blocks**
2. Wait for **CHoCH** to establish bias
3. Trade **Signal 7 (OB Bounce)** or **Signal 8 (60m NPR/BB Bounce)**
4. Use **EMA 50/100** as dynamic stop placement
5. Set alerts for **💎 STRONG BUY/SELL** for major moves
### For Swing Traders (4H-Daily Charts)
1. Enable **60m Order Blocks** (will render as larger zones on HTF)
2. Wait for **Market Structure confirmation** (CHoCH)
3. Focus on **Signal 1 (RSI Shift + Structure)** for highest conviction
4. Use **EMA 200/400/800** for macro trend alignment
5. Set alerts for **Bullish/Bearish CHoCH** to catch structure shifts early
### Universal Strategy (Recommended Approach)
1. **Focus on Primary Signals First** - Build your track record with 💎 STRONG and 🌟 Star Signals only
2. **Wait for Market Structure** - Never trade against CHoCH direction
3. **Use Auxiliary Signals for Confirmation** - When a Star Signal appears, check if auxiliary signals (S1-6) also confirm
4. **Respect Order Blocks** - Fade signals that contradict OB direction
5. **Use FVGs for Targets** - Price gravitates toward unfilled gaps
6. **Gradually Incorporate Auxiliary Signals** - Once profitable with primary signals, experiment with validated auxiliary setups
### Signal Quality Statistics (Typical Observation)
Based on common market behavior patterns:
**💎 STRONG Signals**:
- Frequency: Rare (1-3 per week on daily charts)
- Win Rate: Very High (70-85% when proper risk management applied)
- Risk/Reward: Excellent (1:3 to 1:5+ typical)
**🌟 Star Signals (S7, S8)**:
- Frequency: Moderate (2-5 per day on lower timeframes)
- Win Rate: High (60-75% when aligned with structure)
- Risk/Reward: Good (1:2 to 1:4 typical)
**Auxiliary Signals (S1-6)**:
- Frequency: High (multiple per hour on active timeframes)
- Win Rate: Moderate (50-65% standalone, higher when used as confirmation)
- Risk/Reward: Variable (1:1 to 1:3 typical)
**Key Insight**: Trading only primary signals reduces trade frequency but dramatically improves consistency and psychological ease.
---
## 🏆 What Makes This Indicator Unique
### 1. **True Multi-Timeframe Integration**
Most "MTF" indicators simply display data from other timeframes. Trend Gazer v5 **synthesizes** MTF data into unified signals, eliminating conflicting information.
### 2. **Non-Repainting Architecture**
All signals are fixed at bar close. What you see in backtests is exactly what you'd see in real-time.
### 3. **Institutional Focus**
Every component is designed around institutional behavior:
- Where they accumulate (Order Blocks)
- When they shift (CHoCH)
- What they must fix (FVGs)
- How they create momentum (VWC)
### 4. **Complete Transparency**
- **Open Source** - Full code visibility
- **Credited Sources** - All borrowed concepts attributed
- **No Black Boxes** - Every calculation is documented
### 5. **Flexible Yet Focused**
- **8 Signal Types** - Adapts to any market regime
- **Default Settings Optimized** - Works immediately without tweaking
- **Optional Filters** - "Show ONLY Star Signals" for disciplined traders
### 6. **Professional Alert System**
- **8-event Any Alert** - Never miss institutional moves
- **Individual alertconditions** - Customize to your strategy
- **Formatted Messages** - Ticker + Timeframe + Event for instant context
---
## 📖 Educational Value
### Learning ICT Concepts
This indicator serves as a **visual teaching tool** for:
- **Market Structure**: See CHoCH/SiMS/BoMS in real-time
- **Order Blocks**: Understand where institutions positioned
- **Fair Value Gaps**: Learn how inefficiencies are filled
- **Smart Money Behavior**: Watch institutional footprints unfold
### Backtesting & Strategy Development
Use Trend Gazer v5 to:
1. **Validate ICT Concepts** - Do OB bounces really work? Test it.
2. **Optimize Entry Timing** - Which signals work best in your market?
3. **Develop Filters** - Combine signals for your edge
4. **Build Strategies** - Export signals to Pine Script strategies
---
## ⚠️ Disclaimer
This indicator is for **educational and informational purposes only**. It should not be considered as financial advice or a recommendation to buy or sell any financial instrument.
**Trading involves substantial risk of loss**. Past performance is not indicative of future results. No indicator, regardless of sophistication, can guarantee profitable trades.
**Always:**
- Conduct your own research
- Use proper risk management (1-2% risk per trade)
- Consult with qualified financial advisors
- Practice on paper/demo accounts before live trading
- Understand that you are solely responsible for your trading decisions
---
## 🔗 Credits & Licenses
### Original Code Sources
1. **ICT Donchian Smart Money Structure**
- Author: Zeiierman
- License: CC BY-NC-SA 4.0
- Modifications: Integrated with multi-signal system, added CHoCH pattern detection
2. **Reverse RSI Signals**
- Author: AlgoAlpha
- License: MPL 2.0
- Modifications: Adapted for internal signal logic
3. **Volumetric Weighted Cloud (VWC/TBOSI)**
- Original concept adapted for multi-timeframe analysis
- Enhanced with MTF table display
4. **Order Block & FVG Detection**
- Based on ICT concepts
- Custom implementation with MTF support
### This Indicator's License
**Mozilla Public License 2.0 (MPL 2.0)**
You are free to:
- ✅ Use commercially
- ✅ Modify and distribute
- ✅ Use privately
- ✅ Patent use
Under conditions:
- 📄 Disclose source
- 📄 License and copyright notice
- 📄 Same license for modifications
---
## 📞 Support & Community
### Reporting Issues
If you encounter bugs or have feature suggestions, please provide:
1. Chart timeframe and symbol
2. Settings configuration
3. Screenshot of the issue
4. Expected vs actual behavior
### Best Practices
- Start with default settings
- Gradually enable/disable features to understand each component
- Use demo account for at least 30 days before live trading
- Combine with proper risk management
---
## 🚀 Version History
### v5.0 - Simplified ICT Mode (Current)
- ✅ Removed all unused filters and features
- ✅ Enabled all 8 signals by default
- ✅ Added 💎 STRONG CHoCH pattern detection
- ✅ Enhanced OB Bounce labeling system
- ✅ Added FVG detection and visualization
- ✅ Improved alert system (8 events)
- ✅ Optimized performance (faster rendering)
- ✅ Added comprehensive DESCRIPTION documentation
### v4.2 - ICT Mode with EMA Convergence Filter (Deprecated)
- Legacy version with EMA convergence features (removed for simplicity)
### v4.0 - Pure ICT Mode (Deprecated)
- Initial ICT-focused release
---
## 🎓 Recommended Learning Resources
To fully leverage this indicator, study:
1. **ICT Concepts** (Inner Circle Trader - YouTube)
- Market Structure
- Order Blocks
- Fair Value Gaps
- Liquidity Concepts
2. **Smart Money Concepts (SMC)**
- Change of Character (CHoCH)
- Break of Structure (BOS)
- Liquidity Sweeps
3. **Volume Spread Analysis (VSA)**
- Effort vs Result
- Supply vs Demand
- Volume Climax
4. **Risk Management**
- Position Sizing
- R-Multiple Theory
- Win Rate vs Risk/Reward Balance
---
## ✅ Quick Start Checklist
- Add indicator to chart
- Verify **Enable Structure Filter** is ON
- Verify **Show Structure Labels** is ON
- Enable desired MTF Order Blocks (1m, 3m, 15m, 60m)
- Enable FVG display
- Set up **Any Alert** for all 8 events
- Paper trade for 30 days minimum
- Document your trades (screenshots + notes)
- Review performance weekly
- Adjust filters based on your strategy
---
## 💡 Final Thoughts
**Trend Gazer v5 is not a "magic button" indicator.** It's a professional analytical framework that requires education, practice, and discipline.
The best traders don't use indicators to **tell them what to do**. They use indicators to **confirm what they already see** in price action.
Use this tool to:
- ✅ Confirm your analysis
- ✅ Filter out low-probability setups
- ✅ Identify institutional footprints
- ✅ Time entries with precision
Avoid using it to:
- ❌ Trade blindly without understanding context
- ❌ Ignore risk management
- ❌ Revenge trade after losses
- ❌ Replace education with automation
**Trade smart. Trade safe. Trade with structure.**
---
**© rasukaru666 | 2025 | Mozilla Public License 2.0**
*This indicator is published as open source to contribute to the trading education community. If it helps you, please share your experience and help others learn.*
------------------------------------------------------
# Trend Gazer v5: プロフェッショナル・マルチタイムフレームICT分析システム
## 📊 概要
**Trend Gazer v5** は、複数の実証済み手法を統合した分析フレームワークを提供する、包括的な機関投資家グレードの取引システムです。このインジケーターは、**ICT（Inner Circle Trader）コンセプト**、**スマートマネー構造**、**オーダーブロック検知**、**フェアバリューギャップ**、および**出来高分析**を組み合わせて、機関投資家の足跡に裏打ちされた高確率の取引セットアップをトレーダーに提供します。
断片的なインジケーターは、トレーダーに複数のツールを切り替えることを強いますが、Trend Gazer v5は**包括的な市場ビュー**を単一のオーバーレイで提供し、分析麻痺を排除して自信ある意思決定を可能にします。
---
## 🎯 なぜこの組み合わせが必要なのか
### 単一コンセプトインジケーターの問題点
従来のインジケーターは3つの致命的な欠陥を抱えています：
1. **孤立したコンテキスト** - 価格、出来高、構造が個別に分析され、矛盾するシグナルを生成
2. **タイムフレームの盲目性** - 単一タイムフレーム分析は、複数のタイムフレームで発生する機関投資家の活動を見逃す
3. **遅れた確認** - あるインジケーターが別のインジケーターの確認を待つことで、エントリーを逃し、エグジットが遅れる
### 機関投資家の取引実態
プロのトレーダーや機関投資家は、**複数の次元を同時に**操作します：
- **構造的コンテキスト**: 市場サイクルのどこにいるのか？（CHoCH、SiMS、BoMS）
- **オーダーフロー**: 機関投資家の需要と供給が集中しているのはどこか？（オーダーブロック）
- **非効率性**: 埋めなければならない価格の不均衡はどこか？（フェアバリューギャップ）
- **モメンタムコンテキスト**: 出来高は拡大しているか縮小しているか？（VWC/TBOSI）
- **平均回帰ポイント**: 機関投資家がリバウンドを期待する場所はどこか？（NPR/BB、EMA）
**Trend Gazer v5はこれらの次元を統合**し、個別のインジケーターでは提供できない市場マイクロ構造の完全な全体像を作成します。
---
## 🔬 コア分析フレームワーク
### 1️⃣ ICT ドンチャン・スマートマネー構造
**目的**: 大きな動きに先行する機関投資家の市場構造シフトを識別する。
**コンポーネント**:
- **CHoCH (Change of Character / 性質の変化)** - トレンド疲弊を示す市場構造のブレイク
- `1.CHoCH`（強気） - 直近安値のブレイク、強気構造へのシフト
- `A.CHoCH`（弱気） - 直近高値のブレイク、弱気構造へのシフト
- **SiMS (Shift in Market Structure / 市場構造のシフト)** - 初期構造シフト（2回目の発生）
- **BoMS (Break of Market Structure / 市場構造のブレイク)** - 継続構造（3回目以降の発生）
**なぜ不可欠なのか**:
小売トレーダーは価格変化に反応します。機関投資家は構造を破ることで価格変化を**作り出します**。**ドンチャンチャネル**（高値/安値追跡の最も純粋な形式）を使用してこれらのシフトを検出することで、機関投資家のバイアスが変化する正確な瞬間を特定します。
**クレジット**: Zeiierman氏の*ICT Donchian Smart Money Structure*に基づく（CC BY-NC-SA 4.0）
---
### 2️⃣ マルチタイムフレーム・オーダーブロック検知
**目的**: 価格が反転する可能性が高い機関投資家の需給ゾーンをマッピングする。
**方法論**:
オーダーブロックは、強い動きの前の**最後の反対方向ローソク足**を表します。これらのゾーンは、機関投資家がポジションを蓄積（強気OB）または分配（弱気OB）した場所を示します。
**マルチタイムフレームカバレッジ**:
- **1分足**: デイトレーダー向けスキャルピングゾーン
- **3分足**: 短期スイングゾーン
- **15分足**: イントラデイ機関投資家ゾーン
- **60分足**: デイリースイングゾーン
- **現在のTF**: 任意のチャートタイムフレームへの動的適応
**主要機能**:
- **バウンス検知** - OBゾーンから価格がリバウンドする時を識別（シグナル7: 🎯 OBバウンス）
- **ブレーカー追跡** - OBが破られた時を監視し、強気OBを抵抗に、弱気OBをサポートに変換
- **ビジュアルレンダリング** - OBの強度を示す透明度付きの色分けされたボックス
- **OB方向フィルター** - 矛盾するシグナルをブロック（強気OBでSELLなし、弱気OBでBUYなし）
**なぜMTFオーダーブロックが重要か**:
60分足のオーダーブロックは、より大きなタイムフレームでの機関投資家のポジショニングを表します。3分足のエントリーシグナルと組み合わせることで、大口プレイヤーと**同じ方向**で取引することになります。
---
### 3️⃣ フェアバリューギャップ（FVG）検知
**目的**: 機関投資家が最終的に埋めなければならない価格の非効率性を識別する。
**FVGとは何か？**:
フェアバリューギャップは、価格があまりにも急速に動いて**不均衡**を残す時に発生します - 1本のローソク足の高値と2本後のローソク足の安値の間のギャップ（またはその逆）。機関投資家はこれらを修正されなければならない非効率的な価格設定と見なします。
**検知ロジック**:
```
強気FVG: high < low → ギャップアップ = 弱気の不均衡（下方フィル予想）
弱気FVG: low > high → ギャップダウン = 強気の不均衡（上方フィル予想）
```
**ビジュアルデザイン**:
- **強気FVG**: 緑のボックス（価格がバウンドすべきサポートゾーン）
- **弱気FVG**: 赤のボックス（価格が拒否されるべき抵抗ゾーン）
- **ミティゲーション追跡**: FVGは埋められると消え、完了を示す
- **出来高帰属**: 各FVGは関連する買い/売り出来高を追跡
**なぜFVGが重要か**:
機関投資家は**効率性**で動きます。ギャップは非効率性を表します。価格がギャップを埋めるために戻る時、それはランダムではありません - 機関投資家が**市場の非効率性を修正**しているのです。FVGフィルへの取引は卓越したリスク/リワードを提供します。
---
### 4️⃣ 出来高加重クラウド（VWC/TBOSI）
**目的**: 出来高加重プライスアクションを使用してモメンタムシフトとトレンド強度を検出する。
**メカニズム**:
VWCは移動平均に**ボラティリティ加重**を適用し、高ボラティリティトレンド中に拡大し、コンソリデーション中に縮小する動的クラウドを作成します。
**マルチタイムフレーム分析**:
- **1m、3m、5m**: マイクロスキャルピングモメンタム
- **15m**: イントラデイトレンド確認
- **60m、240m**: スイングトレードトレンド検証
**シグナル生成**:
- **VWCスイッチ（シグナル2）**: クラウドの色が反転した時（赤→緑または緑→赤）、モメンタム反転を示す
- **VWCステータステーブル**: 全タイムフレームのトレンド方向のリアルタイム表示
**なぜ出来高加重が重要か**:
従来の移動平均はすべてのバーを等しく扱います。VWCは**高出来高バーに重みを与え**、シグナルが低出来高のノイズではなく、実際の機関投資家の参加を反映することを保証します。
---
### 5️⃣ ノンリペイントSTDEV（NPR）＆ボリンジャーバンド
**目的**: リペイントなしで極端な平均回帰ポイントを識別する。
**従来のインジケーターの問題点**:
多くのインジケーターは**リペイント**します - 新しいデータが到着すると過去の値を変更し、バックテストを誤解させます。NPRは**先読みバイアス防止**を使用して、シグナルが固定されたままであることを保証します。
**設定**:
- **15分足NPR/BB**: イントラデイボラティリティバンド
- **60分足NPR/BB**: スイングトレード極値
- **複数のカーネルオプション**: 指数、単純、二重指数、三重指数 - 異なる平滑化プロファイル
**シグナルロジック（シグナル8）**:
- **BUY**: 価格が下部バンドの**内側**でクローズ（触れるだけではない）→ 極端な売られ過ぎで機関投資家の吸収が可能性高い
- **SELL**: 価格が上部バンドの**内側**でクローズ → 極端な買われ過ぎで機関投資家の分配が可能性高い
**なぜNPRが優れているか**:
リペイントインジケーターはトレーダーにバックテストで誤った自信を与えます。NPRは、履歴で見るすべてのシグナルが、トレーダーがリアルタイムで見たであろうもの**そのもの**であることを保証します。
---
### 6️⃣ 💎 STRONG CHoChパターン検知
**目的**: 短い時間枠内で複数のCHoCH確認が整列した時の最高確率セットアップを識別する。
**パターンロジック**:
**STRONG BUYパターン**:
```
1.CHoCH → A.CHoCH → 1.CHoCH（20バー以内）
```
このシーケンスは以下を示します：
1. 初期強気構造シフト
2. 弱気リテスト（プルバック）
3. **更新された強気確認** - 機関投資家は弱い手を振り落とした後に再蓄積中
**STRONG SELLパターン**:
```
A.CHoCH → 1.CHoCH → A.CHoCH（20バー以内）
```
このシーケンスは以下を示します：
1. 初期弱気構造シフト
2. 強気リテスト（デッドキャットバウンス）
3. **更新された弱気確認** - 機関投資家はロングを罠にかけた後に再分配中
**ビジュアル表示**:
```
💎 BUY
```
- **0%透明度**（完全不透明） - 最大の視覚的優先度
- パターン完成時に**即座に**表示（追加シグナル不要）
- 市場構造フィルターから独立（パターン自体が確認）
**なぜSTRONGシグナルが異なるか**:
- **三重確認**: 3つの構造シフトが誤ったブレイクアウトを排除
- **短い時間枠**: 20バーウィンドウがランダムなノイズではなく、機関投資家の確信を保証
- **自動表示**: 価格アクションを待たない - パターン自体がアラートをトリガー
- **歴史的検証**: この特定のシーケンスは主要な機関投資家の動きに先行することが証明されている
**リスク管理**:
STRONGシグナルは最高のリスク/リワードを提供します：
1. ストップロスは中央のCHoCHの外に配置可能（タイトなリスク）
2. ターゲットは次の主要構造レベルに設定可能（大きなリワード）
3. パターン失敗は即座に明らか（間違っていればクイックエグジット）
---
### 7️⃣ マルチEMAフレームワーク
**目的**: ダイナミックなサポート/レジスタンスとトレンドコンテキストを提供する。
**EMA設定**:
- **EMA 7**: マイクロトレンド（スキャルピング）
- **EMA 20**: 短期トレンド
- **EMA 50**: 機関投資家のピボット（シグナル6: EMA50バウンス）
- **EMA 100**: 中期トレンドフィルター
- **EMA 200**: 主要な機関投資家のサポート/レジスタンス
- **EMA 400、800**: マクロトレンドコンテキスト
**ビジュアルフィル**:
- EMA間の色分けされたフィルが**ビジュアルトレンド強度ゾーン**を作成
- 収束 = コンソリデーション
- 発散 = トレンド市場
**なぜ7つのEMAか？**:
各EMAは異なる**参加者タイムフレーム**を表します：
- EMA 7/20: デイトレーダーとスキャルパー
- EMA 50/100: スイングトレーダー
- EMA 200/400/800: ポジショントレーダーと機関投資家
すべてのEMAが整列した時、**すべての参加者タイプが方向に同意**している - 最高確率のトレンド取引です。
---
## 🚀 8シグナル取引システム
Trend Gazer v5は**8つの異なるシグナル条件**（すべてデフォルトで有効）を採用しており、それぞれが異なる市場レジームを捕捉するように設計されています：
### ⭐ シグナル階層＆取引哲学
**重要**: すべてのシグナルが同じではありません。インジケーターはシグナル品質の階層を表示します：
**プライマリーシグナル（これを取引する）**:
- 💎 **STRONG BUY/SELL** - 三重CHoChパターン（最優先）
- 🌟 **スターシグナル（S7、S8）** - 高確率の機関投資家ゾーン反応
- シグナル7: オーダーブロックバウンス
- シグナル8: 60m NPR/BBバウンス
**補助シグナル（確認とコンテキスト）**:
- **シグナル1-6** - これらを以下として使用：
- スターシグナルの**確認**（複数のシグナルが整列した時）
- 市場状況を理解するための**コンテキスト**
- 潜在的な動きの**早期警告**（取引前に検証）
- **追加フィルター**（例：「シグナル1も出ているスターシグナルのみ取引」）
**取引推奨**:
- **保守的トレーダー**: 💎 STRONGと🌟スターシグナル**のみ**取引
- **中程度トレーダー**: スターシグナル + 検証された補助シグナル（2+シグナル確認）
- **アクティブトレーダー**: 適切なリスク管理ですべてのシグナルを使用
視覚的透明度システムはこの階層を強化します：
- 0%透明度 = STRONG（💎） - 最高の確信
- 50%透明度 = スター（🌟）+ OBシグナル - 高品質
- 70%透明度 = 補助（S1-S6） - 補足情報
### シグナル1: RSIシフト + 構造（ANDロジック）
**最も厳格なシグナル** - RSIモメンタム確認と構造変化の両方が必要。
- **使用例**: トレンド市場での高確信取引
- **頻度**: 最も少ない、最高の精度
- **分類**:
### シグナル2: VWCスイッチ（ORロジック）
**最も頻繁なシグナル** - 監視されているタイムフレームでのVWC色反転でトリガー。
- **使用例**: 早期モメンタムシフトの捕捉
- **頻度**: 最も頻繁、アクティブトレーダーに適している
- **分類**:
### シグナル3: 構造変化
**バーカラー変化とRSI確認** - RSIサポートでローソク足の色がシフトする時を検出。
- **使用例**: トレンド継続取引
- **頻度**: 中程度
- **分類**:
### シグナル4: BBブレイクアウト + RSI
**ボリンジャーバンドブレイクアウト反転** - 価格がバンドを破った後すぐに反転。
- **使用例**: 誤ったブレイクアウトをフェード
- **頻度**: 中程度、優れたリスク/リワード
- **分類**:
### シグナル5: BB/EMA50ブレイク
**積極的ブレイクアウトシグナル** - 価格がBBとEMA50を同時にブレイク。
- **使用例**: モメンタムブレイクアウト取引
- **頻度**: 中〜高
- **分類**:
### シグナル6: EMA50バウンス反転
**EMA50での平均回帰** - 価格がEMA50に触れてバウンス。
- **使用例**: 強いトレンドでのプルバック取引
- **頻度**: 中程度、信頼性あり
- **分類**:
### シグナル7: 🌟 OBバウンス（スターシグナル）
**オーダーブロックバウンス** - 価格がOBゾーンに入って反転。
- **使用例**: 機関投資家ゾーン反応
- **頻度**: 低いが、極めて高品質
- **分類**:
- **特別機能**:
- 🎯 **OBバウンスラベル**: `🌟 🎯 BUY/SELL ` - 可視OBからの実際のシグナル7バウンス
- 📍 **In OBラベル**: `📍 BUY/SELL ` - OBゾーン内で発生する他のシグナル（S1-6、S8）
- **OB方向フィルター**: 矛盾するシグナルをブロック（強気OBでSELLなし、弱気OBでBUYなし）
### シグナル8: 🌟 60m NPR/BBバウンス（スターシグナル）
**極端な平均回帰** - 価格が60m NPR/BBバンドの極値で**内側に**クローズ。
- **使用例**: 極値での機関投資家の吸収を捕捉
- **頻度**: 低い、卓越した勝率
- **分類**:
- **特別ロジック**: ローソク足のクローズがバンドの**内側**でなければならない（触れるだけではダメ、誤ったブレイクアウトを防止）
### 💎 STRONGシグナル（ボーナス）
**CHoChパターン完成** - 三重確認された構造シフト。
- **STRONG BUY**: `1.CHoCH → A.CHoCH → 1.CHoCH（≤20バー）`
- **STRONG SELL**: `A.CHoCH → 1.CHoCH → A.CHoCH（≤20バー）`
- **表示**: パターン完成時に即座（独立したシグナル）
- **分類**:
- **使用例**: 最高確信の機関投資家トレンドシフト
---
## 🎨 ビジュアルデザイン哲学
### 透明度によるシグナル階層
**0%透明度（不透明）**:
- 💎 **STRONG BUY/SELL** - 最優先、機関投資家パターン確認
**50%透明度**:
- 🌟 **スターシグナル**（S7、S8） - 高品質平均回帰
- 🎯 **OBバウンス** - 機関投資家ゾーン反応
- 📍 **In OB** - 機関投資家ゾーン内の強化されたシグナル
- **CHoChラベル**（1.CHoCH、A.CHoCH） - 構造シフトマーカー
**70%透明度**:
- **通常シグナル**（S1-S6） - 標準取引セットアップ
この視覚的階層により、トレーダーは分析麻痺なしに高優先度セットアップを**即座に認識**できます。
### カラースキーム: 日本式ローソク足慣例
**強気 = 赤 | 弱気 = 青/緑**
これは伝統的な日本式ローソク足方法論に従います：
- **赤（陽）**: ポジティブエネルギー、上昇価格、強気
- **青/緑（陰）**: ネガティブエネルギー、下降価格、弱気
西洋の慣例はしばしばこれを逆にしますが、プロの取引ルームとの一貫性のために**ICTと機関投資家の慣例**を維持します。
---
## 📡 アラートシステム
### Any Alert（自動）
**8つのイベントを監視**:
1. 💎 **STRONG BUY** - パターン: `1.CHoCH → A.CHoCH → 1.CHoCH`
2. 💎 **STRONG SELL** - パターン: `A.CHoCH → 1.CHoCH → A.CHoCH`
3. ⭐ **Star BUY** - シグナル7または8
4. ⭐ **Star SELL** - シグナル7または8
5. 📍 **BUY (in OB)** - 強気オーダーブロック内の任意のシグナル
6. 📍 **SELL (in OB)** - 弱気オーダーブロック内の任意のシグナル
7. **Bullish CHoCH** - 強気への市場構造シフト
8. **Bearish CHoCH** - 弱気への市場構造シフト
**フォーマット**: `TICKER TIMEFRAME EventName`
**例**: `BTCUSDT 5 💎 STRONG BUY`
### 個別alertcondition()オプション
特定のイベントのカスタムアラートを作成：
- BUY/SELLシグナル（すべてまたはフィルタリング）
- スターシグナルのみ（S7/S8）
- STRONGシグナルのみ（💎）
- CHoChイベントのみ
- 強気/弱気CHoCH個別
---
## ⚙️ 設定と設定
### ICT構造フィルター（デフォルトON ⭐）
**構造フィルターを有効化**: CHoCH/SiMS/BoMS後のシグナル**のみ**表示
- **目的**: 機関投資家の確認を要求することでノイズをフィルター
- **推奨**: 規律ある取引のために有効のままにする
**構造ラベルを表示（デフォルトON ⭐）**: CHoCH/SiMS/BoMSラベルを表示
- **目的**: 市場構造状態の視覚的確認
- **ラベル**:
- `1.CHoCH`（赤背景、白テキスト） - 強気構造シフト
- `A.CHoCH`（青背景、白テキスト） - 弱気構造シフト
- `2.SMS` / `B.SMS`（赤/青テキスト） - 市場構造のシフト（2回目）
- `3.BMS` / `C.BMS`（赤/青テキスト） - 市場構造のブレイク（3回目以降）
**構造期間**: デフォルト3バー（ICT標準）
### オーダーブロック設定
**マルチタイムフレームOBを有効化**: 複数のタイムフレームから同時にOBを検出
**ミティゲーションオプション**:
- Close - ローソク足がクローズで通過した時にOB無効化
- Wick - ウィックが触れた時にOB無効化
- 50% - ゾーンの50%が侵害された時にOB無効化
**OBを表示**:
- 現在のタイムフレーム（常に）
- 1m、3m、15m、60m（選択可能）
### フェアバリューギャップ設定
**FVGを表示**: FVGレンダリングを有効/無効
**ミティゲーションソース**: Wick、Close、または50%フィル
**カラーカスタマイゼーション**: 強気FVG（緑）、弱気FVG（赤）
### シグナルフィルター
**スターシグナルのみ表示（デフォルトOFF）**:
- ONの時: S7（OBバウンス）とS8（NPR/BBバウンス）のみ表示
- OFFの時: すべてのシグナルS1-S8を表示（デフォルト）
- **使用例**: 最高品質のセットアップに集中し、ノイズを無視
### ビジュアル設定
**EMA表示**: 個別のEMAをオン/オフ切り替え
**VWCクラウド**: 出来高クラウドを有効/無効
**NPR/BBバンド**: 15mと60mバンドを表示/非表示
**ステータステーブル**: すべてのタイムフレームでのリアルタイムVWCステータス
---
## 📚 使用方法
### スキャルパー向け（1m-5m チャート）
1. **1mと3mオーダーブロック**を有効化
2. **シグナル2（VWCスイッチ）**または**シグナル5（BB/EMA50ブレイク）**を監視
3. サポート/レジスタンスとして**1m/3m MTF OB**で確認
4. マイクロターゲット設定に**FVG**を使用
5. 最高品質のスキャルプのために**Star BUY/SELL**のアラートを設定
### デイトレーダー向け（15m-60m チャート）
1. **15mと60mオーダーブロック**を有効化
2. バイアスを確立するために**CHoCH**を待つ
3. **シグナル7（OBバウンス）**または**シグナル8（60m NPR/BBバウンス）**を取引
4. ダイナミックストップ配置に**EMA 50/100**を使用
5. 主要な動きのために**💎 STRONG BUY/SELL**のアラートを設定
### スイングトレーダー向け（4H-日足 チャート）
1. **60mオーダーブロック**を有効化（HTFでより大きなゾーンとしてレンダリング）
2. **市場構造確認**（CHoCH）を待つ
3. 最高確信のために**シグナル1（RSIシフト + 構造）**に集中
4. マクロトレンド整列のために**EMA 200/400/800**を使用
5. 構造シフトを早期に捕捉するために**Bullish/Bearish CHoCH**のアラートを設定
### ユニバーサル戦略（推奨アプローチ）
1. **まずプライマリーシグナルに集中** - 💎 STRONGと🌟スターシグナル**のみ**でトラックレコードを構築
2. **市場構造を待つ** - CHoCH方向に逆らって取引しない
3. **補助シグナルを確認に使用** - スターシグナルが現れたら、補助シグナル（S1-6）も確認するかチェック
4. **オーダーブロックを尊重** - OB方向と矛盾するシグナルをフェード
5. **ターゲットにFVGを使用** - 価格は埋められていないギャップに引き寄せられる
6. **徐々に補助シグナルを組み込む** - プライマリーシグナルで利益が出たら、検証された補助セットアップを実験
### シグナル品質統計（典型的な観察）
一般的な市場行動パターンに基づく：
**💎 STRONGシグナル**:
- 頻度: まれ（日足チャートで週1-3回）
- 勝率: 非常に高い（適切なリスク管理適用時70-85%）
- リスク/リワード: 優秀（典型的に1:3から1:5+）
**🌟 スターシグナル（S7、S8）**:
- 頻度: 中程度（短期足で1日2-5回）
- 勝率: 高い（構造と整列時60-75%）
- リスク/リワード: 良好（典型的に1:2から1:4）
**補助シグナル（S1-6）**:
- 頻度: 高い（活発なタイムフレームで1時間に複数回）
- 勝率: 中程度（単独で50-65%、確認として使用時はより高い）
- リスク/リワード: 変動（典型的に1:1から1:3）
**重要な洞察**: プライマリーシグナルのみの取引は取引頻度を減らしますが、一貫性と心理的容易さを劇的に改善します。
---
## 🏆 このインジケーターのユニークな点
### 1. **真のマルチタイムフレーム統合**
ほとんどの「MTF」インジケーターは単に他のタイムフレームからデータを表示するだけです。Trend Gazer v5はMTFデータを統一されたシグナルに**合成**し、矛盾する情報を排除します。
### 2. **ノンリペイント・アーキテクチャ**
すべてのシグナルはバークローズで固定されます。バックテストで見るものは、リアルタイムで見るであろうもの**そのもの**です。
### 3. **機関投資家フォーカス**
すべてのコンポーネントは機関投資家の行動を中心に設計されています：
- どこで蓄積するか（オーダーブロック）
- いつシフトするか（CHoCH）
- 何を修正しなければならないか（FVG）
- どのようにモメンタムを作り出すか（VWC）
### 4. **完全な透明性**
- **オープンソース** - 完全なコード可視性
- **クレジットされたソース** - すべての借用コンセプトが帰属
- **ブラックボックスなし** - すべての計算が文書化
### 5. **柔軟だが焦点を絞った**
- **8シグナルタイプ** - 任意の市場レジームに適応
- **最適化されたデフォルト設定** - 調整なしですぐに動作
- **オプションフィルター** - 規律あるトレーダーのための「スターシグナルのみ表示」
### 6. **プロフェッショナルアラートシステム**
- **8イベントAny Alert** - 機関投資家の動きを見逃さない
- **個別alertconditions** - あなたの戦略にカスタマイズ
- **フォーマットされたメッセージ** - 即座のコンテキストのためのTicker + Timeframe + Event
---
## 📖 教育的価値
### ICT概念の学習
このインジケーターは以下のための**視覚的教育ツール**として機能します：
- **市場構造**: CHoCH/SiMS/BoMSをリアルタイムで見る
- **オーダーブロック**: 機関投資家がどこでポジショニングしたかを理解
- **フェアバリューギャップ**: 非効率性がどのように埋められるかを学ぶ
- **スマートマネー行動**: 機関投資家の足跡が展開するのを観察
### バックテスティングと戦略開発
Trend Gazer v5を使用して：
1. **ICT概念を検証** - OBバウンスは本当に機能するか？テストする。
2. **エントリータイミングを最適化** - あなたの市場でどのシグナルが最も機能するか？
3. **フィルターを開発** - あなたのエッジのためにシグナルを組み合わせる
4. **戦略を構築** - シグナルをPine Scriptストラテジーにエクスポート
---
## ⚠️ 免責事項
このインジケーターは**教育および情報提供のみを目的**としています。金融アドバイスではありません。
**リスク警告**:
- 取引には重大な損失リスクが伴い、すべての投資家に適しているわけではありません
- 過去のパフォーマンスは将来の結果を**示すものではありません**
- どのインジケーターも利益ある取引を保証することはできません
- あなたは自分の取引決定に対して単独で責任を負います
**取引前に**:
- 自分自身の調査とデューデリジェンスを実施
- 資格のある金融アドバイザーに相談
- 適切なリスク管理を使用（取引あたり1-2%以上リスクを取らない）
- ライブ取引前にペーパー/デモアカウントで練習
- 損失は取引の一部であることを理解
このインジケーターによって提供される情報は、投資アドバイス、金融アドバイス、取引アドバイス、またはその他の種類のアドバイスを構成するものではありません。インジケーターの出力をそのように扱うべきではありません。作成者は、あなたが任意の暗号通貨、証券、または商品を買い、売り、または保有すべきであると推奨するものではありません。常に自分自身の調査を行い、専門的なアドバイスを求めてください。
このソフトウェアは、明示的または黙示的を問わず、いかなる種類の保証もなく「現状のまま」提供されます。
---
## 🔗 クレジットとライセンス
### 原作コードソース
1. **ICT Donchian Smart Money Structure**
- 作者: Zeiierman
- ライセンス: CC BY-NC-SA 4.0
- 変更: マルチシグナルシステムと統合、CHoChパターン検知を追加
2. **Reverse RSI Signals**
- 作者: AlgoAlpha
- ライセンス: MPL 2.0
- 変更: 内部シグナルロジックに適応
3. **Volumetric Weighted Cloud（VWC/TBOSI）**
- 元のコンセプトをマルチタイムフレーム分析に適応
- MTFテーブル表示で強化
4. **Order Block & FVG Detection**
- ICTコンセプトに基づく
- MTFサポートでカスタム実装
### このインジケーターのライセンス
**Mozilla Public License 2.0（MPL 2.0）**
以下が自由です：
- ✅ 商用利用
- ✅ 変更と配布
- ✅ 私的使用
- ✅ 特許使用
条件：
- 📄 ソースを開示
- 📄 ライセンスと著作権表示
- 📄 変更に同じライセンス
---
## 📞 サポートとコミュニティ
### 問題の報告
バグに遭遇したり機能提案がある場合は、以下を提供してください：
1. チャートタイムフレームとシンボル
2. 設定構成
3. 問題のスクリーンショット
4. 期待される動作と実際の動作
### ベストプラクティス
- デフォルト設定で開始
- 各コンポーネントを理解するために段階的に機能を有効/無効化
- ライブ取引前に少なくとも30日間デモアカウントを使用
- 適切なリスク管理と組み合わせる
---
## 🚀 バージョン履歴
### v5.0 - Simplified ICT Mode（現在）
- ✅ すべての未使用フィルターと機能を削除
- ✅ すべての8シグナルをデフォルトで有効化
- ✅ 💎 STRONG CHoChパターン検知を追加
- ✅ OBバウンスラベリングシステムを強化
- ✅ FVG検知と可視化を追加
- ✅ アラートシステムを改善（8イベント）
- ✅ パフォーマンスを最適化（より速いレンダリング）
- ✅ 包括的なDESCRIPTIONドキュメントを追加
### v4.2 - ICT Mode with EMA Convergence Filter（非推奨）
- EMA収束機能を持つレガシーバージョン（シンプルさのために削除）
### v4.0 - Pure ICT Mode（非推奨）
- 初期ICTフォーカスリリース
---
## 🎓 推奨学習リソース
このインジケーターを完全に活用するために、以下を学習してください：
1. **ICTコンセプト**（Inner Circle Trader - YouTube）
- 市場構造
- オーダーブロック
- フェアバリューギャップ
- 流動性コンセプト
2. **スマートマネーコンセプト（SMC）**
- Change of Character（CHoCH）
- Break of Structure（BOS）
- Liquidity Sweeps
3. **Volume Spread Analysis（VSA）**
- Effort vs Result
- Supply vs Demand
- Volume Climax
4. **リスク管理**
- ポジションサイジング
- R-Multiple理論
- 勝率vsリスク/リワードバランス
---
## ✅ クイックスタートチェックリスト
- チャートにインジケーターを追加
- **構造フィルターを有効化**がONであることを確認
- **構造ラベルを表示**がONであることを確認
- 希望するMTFオーダーブロックを有効化（1m、3m、15m、60m）
- FVG表示を有効化
- すべての8イベントのために**Any Alert**を設定
- 最低30日間ペーパートレード
- 取引を文書化（スクリーンショット + ノート）
- 週次でパフォーマンスをレビュー
- あなたの戦略に基づいてフィルターを調整
---
## 💡 最後の考え
**Trend Gazer v5は「魔法のボタン」インジケーターではありません。**教育、練習、規律を必要とするプロフェッショナル分析フレームワークです。
最高のトレーダーは、インジケーターを使って**何をすべきかを教えてもらいません**。インジケーターを使って、プライスアクションで**既に見ているものを確認**します。
このツールを使用して：
- ✅ 分析を確認
- ✅ 低確率セットアップをフィルターアウト
- ✅ 機関投資家の足跡を識別
- ✅ エントリーを精密にタイミング
使用を避けるべき：
- ❌ コンテキストを理解せずに盲目的に取引
- ❌ リスク管理を無視
- ❌ 損失後にリベンジトレード
- ❌ 教育を自動化に置き換える
**スマートに取引しましょう。安全に取引しましょう。構造を持って取引しましょう。**
---
**© rasukaru666 | 2025 | Mozilla Public License 2.0**
*このインジケーターは、取引教育コミュニティに貢献するためにオープンソースとして公開されています。役立つ場合は、あなたの経験を共有して他の人が学ぶのを助けてください。*
Golden BOS Strategy - ChecklistA clean, mechanical on-chart checklist designed for multi-timeframe traders using the Golden BOS / Institutional Retracement Framework.
This tool helps you stay disciplined by tracking each requirement of the strategy in real time:
Included Criteria
4H Bias: Bullish or bearish macro structure
1H Structure: Push/pull phase + golden zone retracement
5M Entry Model:
Break of Structure (BOS)
5M golden zone retracement
POI validation (OB/FVG/Breaker)
Final micro BOS or rejection confirmation
Risk Filters:
Session validity (London / NY)
Red news avoidance
Stop-loss placement check
Liquidity-based target confirmation
Purpose
This overlay ensures every trade meets strict criteria before execution, removing emotion and improvisation. Ideal for backtesting, forward testing, and staying consistent during live market conditions.
Golden BOS Strategy — Description
The Golden BOS Strategy is a structured, multi-timeframe trading system designed to capture high-probability continuation moves during London and New York sessions. The strategy combines institutional concepts with Fibonacci-based retracements to identify discounted entry zones aligned with higher-timeframe direction.
Using the 4H timeframe, traders establish the daily macro bias and identify the dominant trend. The 1H chart is then used to confirm the current phase of market structure, distinguishing between impulsive “push” moves and corrective “pullback” phases. A Fibonacci retracement is applied to the most recent 1H impulse leg to define a high-value discount or premium zone where entries become valid.
Execution takes place on the 5-minute chart. Once price reaches the 1H golden zone (61.8–78.6%), a Break of Structure (BOS) is required to confirm a shift in short-term momentum. A second Fibonacci retracement is then drawn on the 5M impulse leg that caused the BOS, and price must retrace back into the 5M golden zone. Traders refine their entry using a confluence point of interest (POI) such as a Fair Value Gap (FVG), Order Block, Breaker Block, or Inverse FVG, ideally accompanied by a final micro BOS or rejection candle.
Risk management is strict and rule-driven. Stop loss is placed beyond the extreme wick of the POI, while take-profit targets are set at logical liquidity pools in the direction of the higher-timeframe trend. The strategy avoids red-folder news and only allows trades during active sessions to ensure optimal volatility and reliability.
The Golden BOS Strategy is designed to impose discipline, reduce discretionary errors, and give traders a repeatable, mechanical framework for navigating trending markets with precision.
KJS -- Max Volume CandleKJS — Max Volume Candle
Identifies and highlights the highest-volume candle relative to all candles to its left on the chart.
As each new bar forms, the script checks whether its volume exceeds every prior bar. When a new volume peak appears, that candle is marked (blue for bullish, yellow for bearish), making it easy to spot where momentum, participation, or exhaustion reached a new extreme.
Use it to quickly identify:
• True volume pivots during momentum runs
• Potential trap candles and liquidity grabs
• Continuation moves backed by breakout volume
• Shifts in participation that may precede reversals
The indicator updates automatically as you scroll and works on any symbol and timeframe.
SOFR Spread (proxy: FEDFUNDS - US03MY)📊 SOFR Spread (Proxy: FEDFUNDS - US03MY) – Monitoring USD Money Market Liquidity
In 2008, the spread exhibits a sharp vertical spike, signaling a severe liquidity dislocation: investors rushed into short-term U.S. Treasuries, pushing their yields down dramatically, while the FEDFUNDS rate remained relatively high.
This behavior indicates extreme systemic stress in the interbank lending market, preceding massive Federal Reserve interventions such as rate cuts, emergency liquidity operations, and the launch of quantitative easing (QE).
Description:
This indicator plots the spread between the Effective Federal Funds Rate (FEDFUNDS) and the 3-Month US Treasury Bill yield (US03MY), used here as a proxy for the SOFR spread.
It serves as a simple yet powerful tool to detect liquidity dislocations and stress signals in the US short-term funding markets.
Interpretation:
🔴 Spread > 0.20% → Possible liquidity stress: elevated repo rates, cash shortage, interbank distrust.
🟡 Spread ≈ 0% → Normal market conditions, balanced liquidity.
🟢 Spread < 0% → Excess liquidity: strong demand for T-Bills, “flight to safety”, or distortion due to expansionary monetary policy.
Ideal for:
Monitoring Fed policy impact
Anticipating market-wide liquidity squeezes
Correlation with DXY, SPX, VIX, MOVE Index, and risk sentiment
🧠 Note: As SOFR is not directly available on TradingView, FEDFUNDS is used as a reliable proxy, closely tracking the same trends in most macro conditions.
Supertrend Advance Pullback StrategyHandbook for the Supertrend Advance Strategy
1. Introduction
Purpose of the Handbook:
The main purpose of this handbook is to serve as a comprehensive guide for traders and investors who are looking to explore and harness the potential of the Supertrend Advance Strategy. In the rapidly changing financial market, having the right tools and strategies at one's disposal is crucial. Whether you're a beginner hoping to dive into the world of trading or a seasoned investor aiming to optimize and diversify your portfolio, this handbook offers the insights and methodologies you need. By the end of this guide, readers should have a clear understanding of how the Supertrend Advance Strategy works, its benefits, potential pitfalls, and practical application in various trading scenarios.
Overview of the Supertrend Advance Pullback Strategy:
At its core, the Supertrend Advance Strategy is an evolution of the popular Supertrend Indicator. Designed to generate buy and sell signals in trending markets, the Supertrend Indicator has been a favorite tool for many traders around the world. The Advance Strategy, however, builds upon this foundation by introducing enhanced mechanisms, filters, and methodologies to increase precision and reduce false signals.
1. Basic Concept:
The Supertrend Advance Strategy relies on a combination of price action and volatility to determine the potential trend direction. By assessing the average true range (ATR) in conjunction with specific price points, this strategy aims to highlight the potential starting and ending points of market trends.
2. Methodology:
Unlike the traditional Supertrend Indicator, which primarily focuses on closing prices and ATR, the Advance Strategy integrates other critical market variables, such as volume, momentum oscillators, and perhaps even fundamental data, to validate its signals. This multidimensional approach ensures that the generated signals are more reliable and are less prone to market noise.
3. Benefits:
One of the main benefits of the Supertrend Advance Strategy is its ability to filter out false breakouts and minor price fluctuations, which can often lead to premature exits or entries in the market. By waiting for a confluence of factors to align, traders using this advanced strategy can increase their chances of entering or exiting trades at optimal points.
4. Practical Applications:
The Supertrend Advance Strategy can be applied across various timeframes, from intraday trading to swing trading and even long-term investment scenarios. Furthermore, its flexible nature allows it to be tailored to different asset classes, be it stocks, commodities, forex, or cryptocurrencies.
In the subsequent sections of this handbook, we will delve deeper into the intricacies of this strategy, offering step-by-step guidelines on its application, case studies, and tips for maximizing its efficacy in the volatile world of trading.
As you journey through this handbook, we encourage you to approach the Supertrend Advance Strategy with an open mind, testing and tweaking it as per your personal trading style and risk appetite. The ultimate goal is not just to provide you with a new tool but to empower you with a holistic strategy that can enhance your trading endeavors.
2. Getting Started
Navigating the financial markets can be a daunting task without the right tools. This section is dedicated to helping you set up the Supertrend Advance Strategy on one of the most popular charting platforms, TradingView. By following the steps below, you'll be able to integrate this strategy into your charts and start leveraging its insights in no time.
Setting up on TradingView:
TradingView is a web-based platform that offers a wide range of charting tools, social networking, and market data. Before you can apply the Supertrend Advance Strategy, you'll first need a TradingView account. If you haven't set one up yet, here's how:
1. Account Creation:
• Visit TradingView's official website.
• Click on the "Join for free" or "Sign up" button.
• Follow the registration process, providing the necessary details and setting up your login credentials.
2. Navigating the Dashboard:
• Once logged in, you'll be taken to your dashboard. Here, you'll see a variety of tools, including watchlists, alerts, and the main charting window.
• To begin charting, type in the name or ticker of the asset you're interested in the search bar at the top.
3. Configuring Chart Settings:
• Before integrating the Supertrend Advance Strategy, familiarize yourself with the chart settings. This can be accessed by clicking the 'gear' icon on the top right of the chart window.
• Adjust the chart type, time intervals, and other display settings to your preference.
Integrating the Strategy into a Chart:
Now that you're set up on TradingView, it's time to integrate the Supertrend Advance Strategy.
1. Accessing the Pine Script Editor:
• Located at the top-center of your screen, you'll find the "Pine Editor" tab. Click on it.
• This is where custom strategies and indicators are scripted or imported.
2. Loading the Supertrend Advance Strategy Script:
• Depending on whether you have the script or need to find it, there are two paths:
• If you have the script: Copy the Supertrend Advance Strategy script, and then paste it into the Pine Editor.
• If searching for the script: Click on the “Indicators” icon (looks like a flame) at the top of your screen, and then type “Supertrend Advance Strategy” in the search bar. If available, it will show up in the list. Simply click to add it to your chart.
3. Applying the Strategy:
• After pasting or selecting the Supertrend Advance Strategy in the Pine Editor, click on the “Add to Chart” button located at the top of the editor. This will overlay the strategy onto your main chart window.
4. Configuring Strategy Settings:
• Once the strategy is on your chart, you'll notice a small settings ('gear') icon next to its name in the top-left of the chart window. Click on this to access settings.
• Here, you can adjust various parameters of the Supertrend Advance Strategy to better fit your trading style or the specific asset you're analyzing.
5. Interpreting Signals:
• With the strategy applied, you'll now see buy/sell signals represented on your chart. Take time to familiarize yourself with how these look and behave over various timeframes and market conditions.
3. Strategy Overview
What is the Supertrend Advance Strategy?
The Supertrend Advance Strategy is a refined version of the classic Supertrend Indicator, which was developed to aid traders in spotting market trends. The strategy utilizes a combination of data points, including average true range (ATR) and price momentum, to generate buy and sell signals.
In essence, the Supertrend Advance Strategy can be visualized as a line that moves with the price. When the price is above the Supertrend line, it indicates an uptrend and suggests a potential buy position. Conversely, when the price is below the Supertrend line, it hints at a downtrend, suggesting a potential selling point.
Strategy Goals and Objectives:
1. Trend Identification: At the core of the Supertrend Advance Strategy is the goal to efficiently and consistently identify prevailing market trends. By recognizing these trends, traders can position themselves to capitalize on price movements in their favor.
2. Reducing Noise: Financial markets are often inundated with 'noise' - short-term price fluctuations that can mislead traders. The Supertrend Advance Strategy aims to filter out this noise, allowing for clearer decision-making.
3. Enhancing Risk Management: With clear buy and sell signals, traders can set more precise stop-loss and take-profit points. This leads to better risk management and potentially improved profitability.
4. Versatility: While primarily used for trend identification, the strategy can be integrated with other technical tools and indicators to create a comprehensive trading system.
Type of Assets/Markets to Apply the Strategy:
1. Equities: The Supertrend Advance Strategy is highly popular among stock traders. Its ability to capture long-term trends makes it particularly useful for those trading individual stocks or equity indices.
2. Forex: Given the 24-hour nature of the Forex market and its propensity for trends, the Supertrend Advance Strategy is a valuable tool for currency traders.
3. Commodities: Whether it's gold, oil, or agricultural products, commodities often move in extended trends. The strategy can help in identifying and capitalizing on these movements.
4. Cryptocurrencies: The volatile nature of cryptocurrencies means they can have pronounced trends. The Supertrend Advance Strategy can aid crypto traders in navigating these often tumultuous waters.
5. Futures & Options: Traders and investors in derivative markets can utilize the strategy to make more informed decisions about contract entries and exits.
It's important to note that while the Supertrend Advance Strategy can be applied across various assets and markets, its effectiveness might vary based on market conditions, timeframe, and the specific characteristics of the asset in question. As always, it's recommended to use the strategy in conjunction with other analytical tools and to backtest its effectiveness in specific scenarios before committing to trades.
4. Input Settings
Understanding and correctly configuring input settings is crucial for optimizing the Supertrend Advance Strategy for any specific market or asset. These settings, when tweaked correctly, can drastically impact the strategy's performance.
Grouping Inputs:
Before diving into individual input settings, it's important to group similar inputs. Grouping can simplify the user interface, making it easier to adjust settings related to a specific function or indicator.
Strategy Choice:
This input allows traders to select from various strategies that incorporate the Supertrend indicator. Options might include "Supertrend with RSI," "Supertrend with MACD," etc. By choosing a strategy, the associated input settings for that strategy become available.
Supertrend Settings:
1. Multiplier: Typically, a default value of 3 is used. This multiplier is used in the ATR calculation. Increasing it makes the Supertrend line further from prices, while decreasing it brings the line closer.
2. Period: The number of bars used in the ATR calculation. A common default is 7.
EMA Settings (Exponential Moving Average):
1. Period: Defines the number of previous bars used to calculate the EMA. Common periods are 9, 21, 50, and 200.
2. Source: Allows traders to choose which price (Open, Close, High, Low) to use in the EMA calculation.
RSI Settings (Relative Strength Index):
1. Length: Determines how many periods are used for RSI calculation. The standard setting is 14.
2. Overbought Level: The threshold at which the asset is considered overbought, typically set at 70.
3. Oversold Level: The threshold at which the asset is considered oversold, often at 30.
MACD Settings (Moving Average Convergence Divergence):
1. Short Period: The shorter EMA, usually set to 12.
2. Long Period: The longer EMA, commonly set to 26.
3. Signal Period: Defines the EMA of the MACD line, typically set at 9.
CCI Settings (Commodity Channel Index):
1. Period: The number of bars used in the CCI calculation, often set to 20.
2. Overbought Level: Typically set at +100, denoting overbought conditions.
3. Oversold Level: Usually set at -100, indicating oversold conditions.
SL/TP Settings (Stop Loss/Take Profit):
1. SL Multiplier: Defines the multiplier for the average true range (ATR) to set the stop loss.
2. TP Multiplier: Defines the multiplier for the average true range (ATR) to set the take profit.
Filtering Conditions:
This section allows traders to set conditions to filter out certain signals. For example, one might only want to take buy signals when the RSI is below 30, ensuring they buy during oversold conditions.
Trade Direction and Backtest Period:
1. Trade Direction: Allows traders to specify whether they want to take long trades, short trades, or both.
2. Backtest Period: Specifies the time range for backtesting the strategy. Traders can choose from options like 'Last 6 months,' 'Last 1 year,' etc.
It's essential to remember that while default settings are provided for many of these tools, optimal settings can vary based on the market, timeframe, and trading style. Always backtest new settings on historical data to gauge their potential efficacy.
5. Understanding Strategy Conditions
Developing an understanding of the conditions set within a trading strategy is essential for traders to maximize its potential. Here, we delve deep into the logic behind these conditions, using the Supertrend Advance Strategy as our focal point.
Basic Logic Behind Conditions:
Every strategy is built around a set of conditions that provide buy or sell signals. The conditions are based on mathematical or statistical methods and are rooted in the study of historical price data. The fundamental idea is to recognize patterns or behaviors that have been profitable in the past and might be profitable in the future.
Buy and Sell Conditions:
1. Buy Conditions: Usually formulated around bullish signals or indicators suggesting upward price momentum.
2. Sell Conditions: Centered on bearish signals or indicators indicating downward price momentum.
Simple Strategy:
The simple strategy could involve using just the Supertrend indicator. Here:
• Buy: When price closes above the Supertrend line.
• Sell: When price closes below the Supertrend line.
Pullback Strategy:
This strategy capitalizes on price retracements:
• Buy: When the price retraces to the Supertrend line after a bullish signal and is supported by another bullish indicator.
• Sell: When the price retraces to the Supertrend line after a bearish signal and is confirmed by another bearish indicator.
Indicators Used:
EMA (Exponential Moving Average):
• Logic: EMA gives more weight to recent prices, making it more responsive to current price movements. A shorter-period EMA crossing above a longer-period EMA can be a bullish sign, while the opposite is bearish.
RSI (Relative Strength Index):
• Logic: RSI measures the magnitude of recent price changes to analyze overbought or oversold conditions. Values above 70 are typically considered overbought, and values below 30 are considered oversold.
MACD (Moving Average Convergence Divergence):
• Logic: MACD assesses the relationship between two EMAs of a security’s price. The MACD line crossing above the signal line can be a bullish signal, while crossing below can be bearish.
CCI (Commodity Channel Index):
• Logic: CCI compares a security's average price change with its average price variation. A CCI value above +100 may mean the price is overbought, while below -100 might signify an oversold condition.
And others...
As the strategy expands or contracts, more indicators might be added or removed. The crucial point is to understand the core logic behind each, ensuring they align with the strategy's objectives.
Logic Behind Each Indicator:
1. EMA: Emphasizes recent price movements; provides dynamic support and resistance levels.
2. RSI: Indicates overbought and oversold conditions based on recent price changes.
3. MACD: Showcases momentum and direction of a trend by comparing two EMAs.
4. CCI: Measures the difference between a security's price change and its average price change.
Understanding strategy conditions is not just about knowing when to buy or sell but also about comprehending the underlying market dynamics that those conditions represent. As you familiarize yourself with each condition and indicator, you'll be better prepared to adapt and evolve with the ever-changing financial markets.
6. Trade Execution and Management
Trade execution and management are crucial aspects of any trading strategy. Efficient execution can significantly impact profitability, while effective management can preserve capital during adverse market conditions. In this section, we'll explore the nuances of position entry, exit strategies, and various Stop Loss (SL) and Take Profit (TP) methodologies within the Supertrend Advance Strategy.
Position Entry:
Effective trade entry revolves around:
1. Timing: Enter at a point where the risk-reward ratio is favorable. This often corresponds to confirmatory signals from multiple indicators.
2. Volume Analysis: Ensure there's adequate volume to support the movement. Volume can validate the strength of a signal.
3. Confirmation: Use multiple indicators or chart patterns to confirm the entry point. For instance, a buy signal from the Supertrend indicator can be confirmed with a bullish MACD crossover.
Position Exit Strategies:
A successful exit strategy will lock in profits and minimize losses. Here are some strategies:
1. Fixed Time Exit: Exiting after a predetermined period.
2. Percentage-based Profit Target: Exiting after a certain percentage gain.
3. Indicator-based Exit: Exiting when an indicator gives an opposing signal.
Percentage-based SL/TP:
• Stop Loss (SL): Set a fixed percentage below the entry price to limit potential losses.
• Example: A 2% SL on an entry at $100 would trigger a sell at $98.
• Take Profit (TP): Set a fixed percentage above the entry price to lock in gains.
• Example: A 5% TP on an entry at $100 would trigger a sell at $105.
Supertrend-based SL/TP:
• Stop Loss (SL): Position the SL at the Supertrend line. If the price breaches this line, it could indicate a trend reversal.
• Take Profit (TP): One could set the TP at a point where the Supertrend line flattens or turns, indicating a possible slowdown in momentum.
Swing high/low-based SL/TP:
• Stop Loss (SL): For a long position, set the SL just below the recent swing low. For a short position, set it just above the recent swing high.
• Take Profit (TP): For a long position, set the TP near a recent swing high or resistance. For a short position, near a swing low or support.
And other methods...
1. Trailing Stop Loss: This dynamic SL adjusts with the price movement, locking in profits as the trade moves in your favor.
2. Multiple Take Profits: Divide the position into segments and set multiple TP levels, securing profits in stages.
3. Opposite Signal Exit: Exit when another reliable indicator gives an opposite signal.
Trade execution and management are as much an art as they are a science. They require a blend of analytical skill, discipline, and intuition. Regularly reviewing and refining your strategies, especially in light of changing market conditions, is crucial to maintaining consistent trading performance.
7. Visual Representations
Visual tools are essential for traders, as they simplify complex data into an easily interpretable format. Properly analyzing and understanding the plots on a chart can provide actionable insights and a more intuitive grasp of market conditions. In this section, we’ll delve into various visual representations used in the Supertrend Advance Strategy and their significance.
Understanding Plots on the Chart:
Charts are the primary visual aids for traders. The arrangement of data points, lines, and colors on them tell a story about the market's past, present, and potential future moves.
1. Data Points: These represent individual price actions over a specific timeframe. For instance, a daily chart will have data points showing the opening, closing, high, and low prices for each day.
2. Colors: Used to indicate the nature of price movement. Commonly, green is used for bullish (upward) moves and red for bearish (downward) moves.
Trend Lines:
Trend lines are straight lines drawn on a chart that connect a series of price points. Their significance:
1. Uptrend Line: Drawn along the lows, representing support. A break below might indicate a trend reversal.
2. Downtrend Line: Drawn along the highs, indicating resistance. A break above might suggest the start of a bullish trend.
Filled Areas:
These represent a range between two values on a chart, usually shaded or colored. For instance:
1. Bollinger Bands: The area between the upper and lower band is filled, giving a visual representation of volatility.
2. Volume Profile: Can show a filled area representing the amount of trading activity at different price levels.
Stop Loss and Take Profit Lines:
These are horizontal lines representing pre-determined exit points for trades.
1. Stop Loss Line: Indicates the level at which a trade will be automatically closed to limit losses. Positioned according to the trader's risk tolerance.
2. Take Profit Line: Denotes the target level to lock in profits. Set according to potential resistance (for long trades) or support (for short trades) or other technical factors.
Trailing Stop Lines:
A trailing stop is a dynamic form of stop loss that moves with the price. On a chart:
1. For Long Trades: Starts below the entry price and moves up with the price but remains static if the price falls, ensuring profits are locked in.
2. For Short Trades: Starts above the entry price and moves down with the price but remains static if the price rises.
Visual representations offer traders a clear, organized view of market dynamics. Familiarity with these tools ensures that traders can quickly and accurately interpret chart data, leading to more informed decision-making. Always ensure that the visual aids used resonate with your trading style and strategy for the best results.
8. Backtesting
Backtesting is a fundamental process in strategy development, enabling traders to evaluate the efficacy of their strategy using historical data. It provides a snapshot of how the strategy would have performed in past market conditions, offering insights into its potential strengths and vulnerabilities. In this section, we'll explore the intricacies of setting up and analyzing backtest results and the caveats one must be aware of.
Setting Up Backtest Period:
1. Duration: Determine the timeframe for the backtest. It should be long enough to capture various market conditions (bullish, bearish, sideways). For instance, if you're testing a daily strategy, consider a period of several years.
2. Data Quality: Ensure the data source is reliable, offering high-resolution and clean data. This is vital to get accurate backtest results.
3. Segmentation: Instead of a continuous period, sometimes it's helpful to backtest over distinct market phases, like a particular bear or bull market, to see how the strategy holds up in different environments.
Analyzing Backtest Results:
1. Performance Metrics: Examine metrics like the total return, annualized return, maximum drawdown, Sharpe ratio, and others to gauge the strategy's efficiency.
2. Win Rate: It's the ratio of winning trades to total trades. A high win rate doesn't always signify a good strategy; it should be evaluated in conjunction with other metrics.
3. Risk/Reward: Understand the average profit versus the average loss per trade. A strategy might have a low win rate but still be profitable if the average gain far exceeds the average loss.
4. Drawdown Analysis: Review the periods of losses the strategy could incur and how long it takes, on average, to recover.
9. Tips and Best Practices
Successful trading requires more than just knowing how a strategy works. It necessitates an understanding of when to apply it, how to adjust it to varying market conditions, and the wisdom to recognize and avoid common pitfalls. This section offers insightful tips and best practices to enhance the application of the Supertrend Advance Strategy.
When to Use the Strategy:
1. Market Conditions: Ideally, employ the Supertrend Advance Strategy during trending market conditions. This strategy thrives when there are clear upward or downward trends. It might be less effective during consolidative or sideways markets.
2. News Events: Be cautious around significant news events, as they can cause extreme volatility. It might be wise to avoid trading immediately before and after high-impact news.
3. Liquidity: Ensure you are trading in assets/markets with sufficient liquidity. High liquidity ensures that the price movements are more reflective of genuine market sentiment and not due to thin volume.
Adjusting Settings for Different Markets/Timeframes:
1. Markets: Each market (stocks, forex, commodities) has its own characteristics. It's essential to adjust the strategy's parameters to align with the market's volatility and liquidity.
2. Timeframes: Shorter timeframes (like 1-minute or 5-minute charts) tend to have more noise. You might need to adjust the settings to filter out false signals. Conversely, for longer timeframes (like daily or weekly charts), you might need to be more responsive to genuine trend changes.
3. Customization: Regularly review and tweak the strategy's settings. Periodic adjustments can ensure the strategy remains optimized for the current market conditions.
10. Frequently Asked Questions (FAQs)
Given the complexities and nuances of the Supertrend Advance Strategy, it's only natural for traders, both new and seasoned, to have questions. This section addresses some of the most commonly asked questions regarding the strategy.
1. What exactly is the Supertrend Advance Strategy?
The Supertrend Advance Strategy is an evolved version of the traditional Supertrend indicator. It's designed to provide clearer buy and sell signals by incorporating additional indicators like EMA, RSI, MACD, CCI, etc. The strategy aims to capitalize on market trends while minimizing false signals.
2. Can I use the Supertrend Advance Strategy for all asset types?
Yes, the strategy can be applied to various asset types like stocks, forex, commodities, and cryptocurrencies. However, it's crucial to adjust the settings accordingly to suit the specific characteristics and volatility of each asset type.
3. Is this strategy suitable for day trading?
Absolutely! The Supertrend Advance Strategy can be adjusted to suit various timeframes, making it versatile for both day trading and long-term trading. Remember to fine-tune the settings to align with the timeframe you're trading on.
4. How do I deal with false signals?
No strategy is immune to false signals. However, by combining the Supertrend with other indicators and adhering to strict risk management protocols, you can minimize the impact of false signals. Always use stop-loss orders and consider filtering trades with additional confirmation signals.
5. Do I need any prior trading experience to use this strategy?
While the Supertrend Advance Strategy is designed to be user-friendly, having a foundational understanding of trading and market analysis can greatly enhance your ability to employ the strategy effectively. If you're a beginner, consider pairing the strategy with further education and practice on demo accounts.
6. How often should I review and adjust the strategy settings?
There's no one-size-fits-all answer. Some traders adjust settings weekly, while others might do it monthly. The key is to remain responsive to changing market conditions. Regular backtesting can give insights into potential required adjustments.
7. Can the Supertrend Advance Strategy be automated?
Yes, many traders use algorithmic trading platforms to automate their strategies, including the Supertrend Advance Strategy. However, always monitor automated systems regularly to ensure they're operating as intended.
8. Are there any markets or conditions where the strategy shouldn't be used?
The strategy might generate more false signals in markets that are consolidative or range-bound. During significant news events or times of unexpected high volatility, it's advisable to tread with caution or stay out of the market.
9. How important is backtesting with this strategy?
Backtesting is crucial as it allows traders to understand how the strategy would have performed in the past, offering insights into potential profitability and areas of improvement. Always backtest any new setting or tweak before applying it to live trades.
10. What if the strategy isn't working for me?
No strategy guarantees consistent profits. If it's not working for you, consider reviewing your settings, seeking expert advice, or complementing the Supertrend Advance Strategy with other analysis methods. Remember, continuous learning and adaptation are the keys to trading success.
Other comments
Value of combining several indicators in this script and how they work together
Diversification of Signals: Just as diversifying an investment portfolio can reduce risk, using multiple indicators can offer varied perspectives on potential price movements. Each indicator can capture a different facet of the market, ensuring that traders are not overly reliant on a single data point.
Confirmation & Reduced False Signals: A common challenge with many indicators is the potential for false signals. By requiring confirmation from multiple indicators before acting, the chances of acting on a false signal can be significantly reduced.
Flexibility Across Market Conditions: Different indicators might perform better under different market conditions. For example, while moving averages might excel in trending markets, oscillators like RSI might be more useful during sideways or range-bound conditions. A mashup strategy can potentially adapt better to varying market scenarios.
Comprehensive Analysis: With multiple indicators, traders can gauge trend strength, momentum, volatility, and potential market reversals all at once, providing a holistic view of the market.
How do the different indicators in the Supertrend Advance Strategy work together?
Supertrend: This is primarily a trend-following indicator. It provides traders with buy and sell signals based on the volatility of the price. When combined with other indicators, it can filter out noise and give more weight to strong, confirmed trends.
EMA (Exponential Moving Average): EMA gives more weight to recent price data. It can be used to identify the direction and strength of a trend. When the price is above the EMA, it's generally considered bullish, and vice versa.
RSI (Relative Strength Index): An oscillator that measures the magnitude of recent price changes to evaluate overbought or oversold conditions. By cross-referencing with other indicators like EMA or MACD, traders can spot potential reversals or confirmations of a trend.
MACD (Moving Average Convergence Divergence): This indicator identifies changes in the strength, direction, momentum, and duration of a trend in a stock's price. When the MACD line crosses above the signal line, it can be a bullish sign, and when it crosses below, it can be bearish. Pairing MACD with Supertrend can provide dual confirmation of a trend.
CCI (Commodity Channel Index): Initially developed for commodities, CCI can indicate overbought or oversold conditions. It can be used in conjunction with other indicators to determine entry and exit points.
In essence, the synergy of these indicators provides a balanced, comprehensive approach to trading. Each indicator offers its unique lens into market conditions, and when they align, it can be a powerful indication of a trading opportunity. This combination not only reduces the potential drawbacks of each individual indicator but leverages their strengths, aiming for more consistent and informed trading decisions.
Backtesting and Default Settings
• This indicator has been optimized to be applied for 1 hour-charts. However, the underlying principles of this strategy are supply and demand in the financial markets and the strategy can be applied to all timeframes. Daytraders can use the 1min- or 5min charts, swing-traders can use the daily charts.
• This strategy has been designed to identify the most promising, highest probability entries and trades for each stock or other financial security.
• The combination of the qualifiers results in a highly selective strategy which only considers the most promising swing-trading entries. As a result, you will normally only find a low number of trades for each stock or other financial security per year in case you apply this strategy for the daily charts. Shorter timeframes will result in a higher number of trades / year.
• Consequently, traders need to apply this strategy for a full watchlist rather than just one financial security.
• Default properties: RSI on (length 14, RSI buy level 50, sell level 50), EMA, RSI, MACD on, type of strategy pullback, SL/TP type: ATR (length 10, factor 3), trade direction both, quantity 5, take profit swing hl 5.1, highest / lowest lookback 2, enable ATR trail (ATR length 10, SL ATR multiplier 1.4, TP multiplier 2.1, lookback = 4, trade direction = both).
Payday Anomaly StrategyThe "Payday Effect" refers to a predictable anomaly in financial markets where stock returns exhibit significant fluctuations around specific pay periods. Typically, these are associated with the beginning, middle, or end of the month when many investors receive wages and salaries. This influx of funds, often directed automatically into retirement accounts or investment portfolios (such as 401(k) plans in the United States), temporarily increases the demand for equities. This phenomenon has been linked to a cycle where stock prices rise disproportionately on and around payday periods due to increased buy-side liquidity.
Academic research on the payday effect suggests that this pattern is tied to systematic cash flows into financial markets, primarily driven by employee retirement and savings plans. The regularity of these cash infusions creates a calendar-based pattern that can be exploited in trading strategies. Studies show that returns on days around typical payroll dates tend to be above average, and this pattern remains observable across various time periods and regions.
The rationale behind the payday effect is rooted in the behavioral tendencies of investors, specifically the automatic reinvestment mechanisms used in retirement funds, which align with monthly or semi-monthly salary payments. This regular injection of funds can cause market microstructure effects where stock prices temporarily increase, only to stabilize or reverse after the funds have been invested. Consequently, the payday effect provides traders with a potentially profitable opportunity by predicting these inflows.
Scientific Bibliography on the Payday Effect
Ma, A., & Pratt, W. R. (2017). Payday Anomaly: The Market Impact of Semi-Monthly Pay Periods. Social Science Research Network (SSRN).
This study provides a comprehensive analysis of the payday effect, exploring how returns tend to peak around payroll periods due to semi-monthly cash flows. The paper discusses how systematic inflows impact returns, leading to predictable stock performance patterns on specific days of the month.
Lakonishok, J., & Smidt, S. (1988). Are Seasonal Anomalies Real? A Ninety-Year Perspective. The Review of Financial Studies, 1(4), 403-425.
This foundational study explores calendar anomalies, including the payday effect. By examining data over nearly a century, the authors establish a framework for understanding seasonal and monthly patterns in stock returns, which provides historical support for the payday effect.
Owen, S., & Rabinovitch, R. (1983). On the Predictability of Common Stock Returns: A Step Beyond the Random Walk Hypothesis. Journal of Business Finance & Accounting, 10(3), 379-396.
This paper investigates predictability in stock returns beyond random fluctuations. It considers payday effects among various calendar anomalies, arguing that certain dates yield predictable returns due to regular cash inflows.
Loughran, T., & Schultz, P. (2005). Liquidity: Urban versus Rural Firms. Journal of Financial Economics, 78(2), 341-374.
While primarily focused on liquidity, this study provides insight into how cash flows, such as those from semi-monthly paychecks, influence liquidity levels and consequently impact stock prices around predictable pay dates.
Ariel, R. A. (1990). High Stock Returns Before Holidays: Existence and Evidence on Possible Causes. The Journal of Finance, 45(5), 1611-1626.
Ariel’s work highlights stock return patterns tied to certain dates, including paydays. Although the study focuses on pre-holiday returns, it suggests broader implications of predictable investment timing, reinforcing the calendar-based effects seen with payday anomalies.
Summary
Research on the payday effect highlights a repeating pattern in stock market returns driven by scheduled payroll investments. This cyclical increase in stock demand aligns with behavioral finance insights and market microstructure theories, offering a valuable basis for trading strategies focused on the beginning, middle, and end of each month.
CANDLE RANGE THEORY (H1 Only)Hello traders.
This indicator identifies CRT candles
-Each candle is a range.
-Each candle has its own po3.
-Focus on specific times of the day. By recognizing the importance of time and price, we can capture high-quality trades. Together with HTF PD array, Look for 4-hour candles forming at specific times of the day. (1am - 5am - 9am EST)
-After the 1st candle, wait for the 2nd candle to clear the high/low of the 1st candle and then close inside the 1st candle range at a specific time (1-5-9) and look for entries in the LTF
Why choose 1 5 9 hours EST?
### **1. 1:00 AM (EST)**
- **Trading Session:** This is the time between the Tokyo (Asian) session and the Sydney (Australian) session. The Asian market is very active.
- **Characteristics:**
- Liquidity: Moderate, as only the Asian market is active.
- Volatility: Pairs involving JPY (Japanese Yen), AUD (Australian Dollar), and NZD (New Zealand Dollar) tend to have higher volatility.
- Trading Opportunities: Suitable for traders who like to trade trends or news in the Asian region.
- **Note:** Volatility may be lower than the London or New York session.
### **2. 5:00 AM (EST)**
- **Trading Session:** This is the time near the end of the Tokyo session and the London (European) session is about to open.
- **Characteristics:**
- Liquidity: Starts to increase due to the preparation of the European market.
- Volatility: This is the time between two trading sessions, there can be strong fluctuations, especially in major currency pairs such as EUR/USD, GBP/USD.
- Trading opportunities: Suitable for breakout trading strategies when liquidity increases.
- **Note:** The overlap between Tokyo and London can cause sudden fluctuations.
### **3. 9:00 AM (EST)**
- **Trading sessions:** This time is within the London session and near the beginning of the New York session.
- **Characteristics:**
- Liquidity: Very high, as this is the period between the two largest sessions – London and New York.
- Volatility: Extremely strong, especially for major currency pairs such as EUR/USD, GBP/USD, USD/JPY.
- Trading opportunities: Suitable for both news trading and trend trading, as this is the time when a lot of economic data is released (usually from the US or the European region).
- **Note:** High volatility can bring big profits, but also comes with high risks.
### **Summary of effects:**
- **1 AM (EST):** Moderate volatility, focusing on Asian currency pairs.
- **5 AM (EST):** Increased liquidity and volatility, suitable for breakout trading.
- **9 AM (EST):** High volatility and high liquidity, the best time for Forex trading.
==> How to trade, when the high/low of CRT is swept, move to LTF to wait for confirmation to enter the order
Only sell at high level and buy at discount price.
Find CE at specific important time. Trading CRT with HTF direction has better win rate.
The more inside bars, the higher the probability.
Place a partial and Move breakeven at 50% range.
Do a backtest and post your chart.
Fair Value Gap [by Oberlunar]Fair Value Gap
This indicator is designed to identify and display Fair Value Gaps (FVG) on the price chart. Fair Value Gaps are areas between candles where the price lacks continuity, leaving a "gap" that can serve as a reference point for price retracements. These zones are often considered important by traders as they represent market imbalances that tend to be "mitigated" (i.e., filled or tested) over time.
Purpose of Publication
This indicator addresses a common gap in FVG indicators. Most existing FVG indicators do not visually distinguish between mitigated (touched) FVGs and those that remain intact. With this indicator:
Mitigated FVGs are clearly displayed with distinct colors, allowing traders to identify which zones have been partially or fully filled by the price.
Unmitigated FVGs remain prominent, representing potential points of interest.
Key Features
Identification of Fair Value Gaps:
A Bullish FVG (upward gap) forms when the high of the three previous candles (candle -3) is lower than the low of the next candle (candle -1).
A Bearish FVG (downward gap) forms when the low of the three previous candles (candle -3) is higher than the high of the next candle (candle -1).
Dynamic Coloring:
Unmitigated FVGs are highlighted with specific colors: green for Bullish and red for Bearish gaps.
When an FVG is "touched" by the price (i.e., mitigated), the color changes:
Yellow-green for mitigated Bullish FVGs.
Purple for mitigated Bearish FVGs.
Handling Mitigated FVGs:
When an FVG is touched by the price, it is visually updated with a different color.
An option can be enabled to "shrink" the mitigated zone, adjusting the box to reflect the remaining untested portion of the gap.
Customization:
Configure the maximum number of FVGs to display on the chart.
Set specific colors for mitigated and unmitigated FVGs.
Choose whether to automatically shrink mitigated zones.
How to Identify Support and Resistance Levels
Support:
Bullish FVGs represent potential support levels, as they indicate areas where the price might return to seek liquidity or fill the imbalance.
An FVG that is repeatedly touched without being fully filled becomes a significant support zone.
Resistance:
Bearish FVGs represent potential resistance levels, indicating zones where the price might stall or reverse direction.
Why a Repeatedly Mitigated FVG is Significant
When an FVG is touched or mitigated multiple times, it means the market recognizes that area as significant. This can happen for several reasons:
Accumulation or Distribution: Institutional traders may use these zones to accumulate or distribute positions without causing excessive market movement.
Presence of Liquidity: FVGs often represent areas with pending orders (stop-losses, limit orders), and the price revisits these zones to seek liquidity.
Market Equilibrium: When an FVG is repeatedly filled, it indicates the market's attempt to balance a demand-supply imbalance. This makes the zone an important level to monitor for potential breakouts or reversals.
Smart Money Concepts by WeloTradesThe "Smart Money Concepts by WeloTrades" indicator is designed to offer traders a comprehensive tool that integrates multiple advanced features to aid in market analysis. By combining order blocks, liquidity levels, fair value gaps, trendlines, and market structure analysis, the indicator provides a holistic approach to understanding market dynamics and making informed trading decisions.
Components and Their Integration:
Order Blocks and Breaker Blocks Detection
Functionality: Order blocks represent areas where significant buying or selling occurred, creating potential support or resistance zones. Breaker blocks signal potential reversals.
Integration: By detecting and visualizing these blocks, the indicator helps traders identify key levels where price might react, aiding in entry and exit decisions. The customizable settings allow traders to adjust the visibility and parameters to suit their specific trading strategy.
Liquidity Levels Analysis
Functionality: Liquidity levels indicate zones where significant price movements can occur due to the presence of large orders. These are areas where smart money might be executing trades.
Integration: By tracking these high-probability liquidity areas, traders can anticipate potential price movements. Customizable display limits and mitigation strategies ensure that the information is tailored to the trader’s needs, providing precise and actionable insights.
Fair Value Gaps (FVG)
Functionality: Fair value gaps highlight areas where there is an imbalance between buyers and sellers. These gaps often represent potential trading opportunities.
Integration: The ability to identify and analyze FVGs helps traders spot potential entries based on market inefficiencies. The touch and break detection functionalities provide further refinement, enhancing the precision of trading signals.
Trendlines
Functionality: Trendlines help in identifying the direction of the market and potential reversal points. The additional trendline adds a layer of confirmation for breaks or retests.
Integration: Automatically drawn trendlines assist traders in visualizing market trends and making decisions about potential entries and exits. The additional trendline for stronger confirmation reduces the risk of false signals, providing more reliable trading opportunities.
Market Structure Analysis
Functionality: Understanding market structure is crucial for identifying key support and resistance levels and overall market dynamics. This component displays internal, external, and composite market structures.
Integration: By automatically highlighting shifts in market structure, the indicator helps traders recognize important levels and potential changes in market direction. This analysis is critical for strategic planning and execution in trading.
Customizable Alerts
Functionality: Alerts ensure that traders do not miss significant market events, such as the formation or breach of order blocks, liquidity levels, and trendline interactions.
Integration: Customizable alerts enhance the user experience by providing timely notifications of key events. This feature ensures that traders can act quickly and efficiently, leveraging the insights provided by the indicator.
Interactive Visualization
Functionality: Customizable visual aspects of the indicator allow traders to tailor the display to their preferences and trading style.
Integration: This feature enhances user engagement and usability, making it easier for traders to interpret the data and make informed decisions. Personalization options like colors, styles, and display formats improve the overall effectiveness of the indicator.
How Components Work Together
Comprehensive Market Analysis
Each component of the indicator addresses a different aspect of market analysis. Order blocks and liquidity levels highlight potential support and resistance zones, while fair value gaps and trendlines provide additional context for potential entries and exits. Market structure analysis ties everything together by offering a broad view of market dynamics.
Synergistic Insights
The integration of multiple features allows for cross-validation of trading signals. For instance, an order block coinciding with a high-probability liquidity level and a fair value gap can provide a stronger signal than any of these features alone. This synergy enhances the reliability of the insights and trading signals generated by the indicator.
Enhanced Decision Making
By combining these advanced features into a single tool, traders are equipped with a powerful resource for making informed decisions. The customizable alerts and interactive visualization further support this by ensuring that traders can act quickly on the insights provided.
Order Blocks ( OB) & Breaker Blocks (BB) Visuals:
📝 OB Input Settings
📊 Timeframe #1
TF #1🕑: Enable or disable Timeframe 1.
What it is: A boolean input to toggle the use of the first timeframe.
What it does: Enables or disables Timeframe 1 for the OB settings.
How to use it: Check or uncheck the box to enable or disable.
📊 Timeframe 1 Selection
Timeframe #1🕑: Select the timeframe for Timeframe 1.
What it is: A dropdown to select the desired timeframe.
What it does: Sets the timeframe for Timeframe 1.
How to use it: Choose a timeframe from the dropdown list.
📊 Timeframe #2
TF #2🕑: Enable or disable Timeframe 2.
What it is: A boolean input to toggle the use of the second timeframe.
What it does: Enables or disables Timeframe 2 for the OB settings.
How to use it: Check or uncheck the box to enable or disable.
📊 Timeframe 2 Selection
Timeframe #2🕑: Select the timeframe for Timeframe 2.
What it is: A dropdown to select the desired timeframe.
What it does: Sets the timeframe for Timeframe 2.
How to use it: Choose a timeframe from the dropdown list.
Additional Info: Higher TF Chart & Lower TF Setting / Lower TF Chart & Higher TF Setting.
📏 Show OBs
OB (Length)📏: Toggle the display of Order Blocks.
What it is: A boolean input to enable or disable the display of Order Blocks.
What it does: Shows or hides Order Blocks based on the selected swing length.
How to use it: Check or uncheck the box to enable or disable.
📏 Swing Length Option
Swing Length Option: Select the swing length option.
What it is: A dropdown to choose between SHORT, MID, LONG, or CUSTOM.
What it does: Sets the length of swings for Order Blocks.
How to use it: Choose an option from the dropdown.
Additional Info: Default lengths are SHORT=10, MID=28, LONG=50.
🔧 Custom Swing Length
🔧custom: Specify a custom swing length.
What it is: An integer input for setting a custom swing length.
What it does: Overrides the default swing lengths if set to CUSTOM.
How to use it: Enter a custom integer value (only shown when CUSTOM is selected).
📛 Show BBs
BB (Method)📛: Toggle the display of Breaker Blocks.
What it is: A boolean input to enable or disable the display of Breaker Blocks.
What it does: Shows or hides Breaker Blocks.
How to use it: Check or uncheck the box to enable or disable.
📛 OB End Method
OB End Method: Select the method for determining the end of a Breaker Block.
What it is: A dropdown to choose between Wick and Close.
What it does: Sets the criteria for when a Breaker Block is considered mitigated.
How to use it: Choose an option from the dropdown.
Additional Info: Wicks: OB is mitigated when the price wicks through the OB Level. Close: OB is mitigated when the closing price is within the OB Level.
🔍 Max Bullish Zones
🔍Max Bullish: Set the maximum number of Bullish Order Blocks to display.
What it is: A dropdown to select the maximum number of Bullish Order Blocks.
What it does: Limits the number of Bullish Order Blocks shown on the chart.
How to use it: Choose a value from the dropdown (1-10).
🔍 Max Bearish Zones
🔍Max Bearish: Set the maximum number of Bearish Order Blocks to display.
What it is: A dropdown to select the maximum number of Bearish Order Blocks.
What it does: Limits the number of Bearish Order Blocks shown on the chart.
How to use it: Choose a value from the dropdown (1-10).
🟩 Bullish OB Color
Bullish OB Color: Set the color for Bullish Order Blocks.
What it is: A color picker to set the color of Bullish Order Blocks.
What it does: Changes the color of Bullish Order Blocks on the chart.
How to use it: Select a color from the color picker.
🟥 Bearish OB Color
Bearish OB Color: Set the color for Bearish Order Blocks.
What it is: A color picker to set the color of Bearish Order Blocks.
What it does: Changes the color of Bearish Order Blocks on the chart.
How to use it: Select a color from the color picker.
🔧 OB & BB Range
↔ OB & BB Range: Select the range option for OB and BB.
What it is: A dropdown to choose between RANGE and CUSTOM.
What it does: Sets how far the OB or BB should extend.
How to use it: Choose an option from the dropdown.
Additional Info: RANGE = Current price, CUSTOM = Adjustable Range.
🔧 Custom OB & BB Range
🔧Custom: Specify a custom range for OB and BB.
What it is: An integer input for setting a custom range.
What it does: Defines how far the OB or BB should go, based on a custom value.
How to use it: Enter a custom integer value (range: 1000-500000).
💬 Text Options
💬Text Options: Set text size and color for OB and BB.
What it is: A dropdown to select text size and a color picker to choose text color.
What it does: Changes the size and color of the text displayed for OB and BB.
How to use it: Select a size from the dropdown and a color from the color picker.
💬 Show Timeframe OB
Text: Toggle to display the timeframe of OB.
What it is: A boolean input to show or hide the timeframe text for OB.
What it does: Displays the timeframe information for Order Blocks on the chart.
How to use it: Check or uncheck the box to enable or disable.
💬 Show Volume
Volume: Toggle to display the volume of OB.
What it is: A boolean input to show or hide the volume information for Order Blocks.
What it does: Displays the volume information for Order Blocks on the chart.
How to use it: Check or uncheck the box to enable or disable.
Additional Info:
What it represents: The volume displayed represents the total trading volume that occurred during the formation of the Order Block. This can indicate the level of participation or interest in that price level.
How it's calculated: The volume is the sum of all traded volumes within the candles that form the Order Block.
What it means: Higher volume at an Order Block level may suggest stronger support or resistance. It shows the amount of trading activity and can be an indicator of the potential strength or validity of the Order Block.
Why it's shown: To give traders an idea of the market participation and to help assess the strength of the Order Block.
💬 Show Percentage
%: Toggle to display the percentage of OB.
What it is: A boolean input to show or hide the percentage information for Order Blocks.
What it does: Displays the percentage information for Order Blocks on the chart.
How to use it: Check or uncheck the box to enable or disable.
Additional Info:
What it represents: The percentage displayed usually represents the proportion of price movement relative to the Order Block.
How it's calculated: This can be the percentage move from the start to the end of the Order Block or the retracement level that price has reached relative to the Order Block's range.
What it means: It helps traders understand the extent of price movement within the Order Block and can indicate the significance of the price level.
Why it's shown: To provide a clearer understanding of the price dynamics and the importance of the Order Block within the overall price movement.
Additional Information
Volume Example: If an Order Block forms over three candles with volumes of 100, 150, and 200, the total volume displayed for that Order Block would be 450.
Percentage Example: If the price moves from 100 to 110 within an Order Block, and the total range of the Order Block is from 100 to 120, the percentage shown might be 50% (since the price has moved halfway through the Order Block's range).
Liquidity Levels visuals:
📊 Liquidity Levels Input Settings
📊 Current Timeframe
TF #1🕑: Enable or disable the current timeframe.
What it is: A boolean input to toggle the use of the current timeframe.
What it does: Enables or disables the display of liquidity levels for the current timeframe.
How to use it: Check or uncheck the box to enable or disable.
📊 Higher Timeframe
Higher Timeframe: Select the higher timeframe for liquidity levels.
What it is: A dropdown to select the desired higher timeframe.
What it does: Sets the higher timeframe for liquidity levels.
How to use it: Choose a timeframe from the dropdown list.
📏 Liquidity Length Option
📏Liquidity Length: Select the length for liquidity levels.
What it is: A dropdown to choose between SHORT, MID, LONG, or CUSTOM.
What it does: Sets the length of swings for liquidity levels.
How to use it: Choose an option from the dropdown.
Additional Info: Default lengths are SHORT=10, MID=28, LONG=50.
🔧 Custom Liquidity Length
🔧custom: Specify a custom length for liquidity levels.
What it is: An integer input for setting a custom swing length.
What it does: Overrides the default liquidity lengths if set to CUSTOM.
How to use it: Enter a custom integer value (only shown when CUSTOM is selected).
📛 Mitigation Method
📛Mitigation (Method): Select the method for determining the mitigation of liquidity levels.
What it is: A dropdown to choose between Close and Wick.
What it does: Sets the criteria for when a liquidity level is considered mitigated.
How to use it: Choose an option from the dropdown.
Additional Info:
Wick: Level is mitigated when the price wicks through the level.
Close: Level is mitigated when the closing price is within the level.
📛 Display Mitigated Levels
-: Select to display or hide mitigated levels.
What it is: A dropdown to choose between Remove and Show.
What it does: Displays or hides mitigated liquidity levels.
How to use it: Choose an option from the dropdown.
Additional Info:
Remove: Hide mitigated levels.
Show: Display mitigated levels.
🔍 Max Buy Side Liquidity
🔍Max Buy Side Liquidity: Set the maximum number of Buy Side Liquidity Levels to display.
What it is: An integer input to set the maximum number of Buy Side Liquidity Levels.
What it does: Limits the number of Buy Side Liquidity Levels shown on the chart.
How to use it: Enter a value between 0 and 50.
🟦 Buy Side Liquidity Color
Buy Side Liquidity Color: Set the color for Buy Side Liquidity Levels.
What it is: A color picker to set the color of Buy Side Liquidity Levels.
What it does: Changes the color of Buy Side Liquidity Levels on the chart.
How to use it: Select a color from the color picker.
Additional Info:
Tooltip: Set the maximum number of Buy Side Liquidity Levels to display. Default: 5, Min: 1, Max: 50.
If liquidity levels are not displayed as expected, try increasing the max count.
🔍 Max Sell Side Liquidity
🔍Max Sell Side Liquidity: Set the maximum number of Sell Side Liquidity Levels to display.
What it is: An integer input to set the maximum number of Sell Side Liquidity Levels.
What it does: Limits the number of Sell Side Liquidity Levels shown on the chart.
How to use it: Enter a value between 0 and 50.
🟥 Sell Side Liquidity Color
Sell Side Liquidity Color: Set the color for Sell Side Liquidity Levels.
What it is: A color picker to set the color of Sell Side Liquidity Levels.
What it does: Changes the color of Sell Side Liquidity Levels on the chart.
How to use it: Select a color from the color picker.
Additional Info:
Tooltip: Set the maximum number of Sell Side Liquidity Levels to display. Default: 5, Min: 1, Max: 50.
If liquidity levels are not displayed as expected, try increasing the max count.
✂ Box Style (Height)
✂ Box Style (↕): Set the box height style for liquidity levels.
What it is: A float input to set the height of the boxes.
What it does: Adjusts the height of the boxes displaying liquidity levels.
How to use it: Enter a value between -50 and 50.
Additional Info: Default value is -5.
📏 Box Length
b: Set the box length of liquidity levels.
What it is: An integer input to set the length of the boxes.
What it does: Adjusts the length of the boxes displaying liquidity levels.
How to use it: Enter a value between 0 and 500.
Additional Info: Default value is 20.
⏭ Extend Liquidity Levels
Extend ⏭: Toggle to extend liquidity levels beyond the current range.
What it is: A boolean input to enable or disable the extension of liquidity levels.
What it does: Extends liquidity levels beyond their default range.
How to use it: Check or uncheck the box to enable or disable.
Additional Info: Extend liquidity levels beyond the current range.
💬 Text Options
💬 Text Options: Set text size and color for liquidity levels.
What it is: A dropdown to select text size and a color picker to choose text color.
What it does: Changes the size and color of the text displayed for liquidity levels.
How to use it: Select a size from the dropdown and a color from the color picker.
💬 Show Text
Text: Toggle to display text for liquidity levels.
What it is: A boolean input to show or hide the text for liquidity levels.
What it does: Displays the text information for liquidity levels on the chart.
How to use it: Check or uncheck the box to enable or disable.
💬 Show Volume
Volume: Toggle to display the volume of liquidity levels.
What it is: A boolean input to show or hide the volume information for liquidity levels.
What it does: Displays the volume information for liquidity levels on the chart.
How to use it: Check or uncheck the box to enable or disable.
Additional Info:
What it represents: The volume displayed represents the total trading volume that occurred during the formation of the liquidity level. This can indicate the level of participation or interest in that price level.
How it's calculated: The volume is the sum of all traded volumes within the candles that form the liquidity level.
What it means: Higher volume at a liquidity level may suggest stronger support or resistance. It shows the amount of trading activity and can be an indicator of the potential strength or validity of the liquidity level.
Why it's shown: To give traders an idea of the market participation and to help assess the strength of the liquidity level.
💬 Show Percentage
%: Toggle to display the percentage of liquidity levels.
What it is: A boolean input to show or hide the percentage information for liquidity levels.
What it does: Displays the percentage information for liquidity levels on the chart.
How to use it: Check or uncheck the box to enable or disable.
Additional Info:
What it represents: The percentage displayed usually represents the proportion of price movement relative to the liquidity level.
How it's calculated: This can be the percentage move from the start to the end of the liquidity level or the retracement level that price has reached relative to the liquidity level's range.
What it means: It helps traders understand the extent of price movement within the liquidity level and can indicate the significance of the price level.
Why it's shown: To provide a clearer understanding of the price dynamics and the importance of the liquidity level within the overall price movement.
Fair Value Gaps visuals:
📊 Fair Value Gaps Input Settings
📊 Show FVG
TF #1🕑: Enable or disable Fair Value Gaps for Timeframe 1.
What it is: A boolean input to toggle the display of Fair Value Gaps.
What it does: Shows or hides Fair Value Gaps on the chart.
How to use it: Check or uncheck the box to enable or disable.
📊 Select Timeframe
Timeframe: Select the timeframe for Fair Value Gaps.
What it is: A dropdown to select the desired timeframe.
What it does: Sets the timeframe for Fair Value Gaps.
How to use it: Choose a timeframe from the dropdown list.
Additional Info: Higher TF Chart & Lower TF Setting or Lower TF Chart & Higher TF Setting.
📛 FVG Break Method
📛FVG Break (Method): Select the method for determining when an FVG is mitigated.
What it is: A dropdown to choose between Touch, Wicks, Close, or Average.
What it does: Sets the criteria for when a Fair Value Gap is considered mitigated.
How to use it: Choose an option from the dropdown.
Additional Info:
Touch: FVG is mitigated when the price touches the gap.
Wicks: FVG is mitigated when the price wicks through the gap.
Close: FVG is mitigated when the closing price is within the gap.
Average: FVG is mitigated when the average price (average of high and low) is within the gap.
📛 Show Mitigated FVG
show: Toggle to display mitigated FVGs.
What it is: A boolean input to show or hide mitigated Fair Value Gaps.
What it does: Displays or hides mitigated Fair Value Gaps.
How to use it: Check or uncheck the box to enable or disable.
📛 Fill FVG
Fill: Toggle to fill Fair Value Gaps.
What it is: A boolean input to fill the Fair Value Gaps with color.
What it does: Adds a color fill to the Fair Value Gaps.
How to use it: Check or uncheck the box to enable or disable.
📛 Shade FVG
Shade: Toggle to shade Fair Value Gaps.
What it is: A boolean input to shade the Fair Value Gaps.
What it does: Adds a shade effect to the Fair Value Gaps.
How to use it: Check or uncheck the box to enable or disable.
Additional Info: Select the method to break FVGs and toggle the visibility of FVG Breaks (fill FVG and/or shade FVG).
🔍 Max Bullish FVG
🔍Max Bullish FVG: Set the maximum number of Bullish Fair Value Gaps to display.
What it is: An integer input to set the maximum number of Bullish Fair Value Gaps.
What it does: Limits the number of Bullish Fair Value Gaps shown on the chart.
How to use it: Enter a value between 0 and 50.
🔍 Max Bearish FVG
🔍Max Bearish FVG: Set the maximum number of Bearish Fair Value Gaps to display.
What it is: An integer input to set the maximum number of Bearish Fair Value Gaps.
What it does: Limits the number of Bearish Fair Value Gaps shown on the chart.
How to use it: Enter a value between 0 and 50.
🟥 Bearish FVG Color
Bearish FVG Color: Set the color for Bearish Fair Value Gaps.
What it is: A color picker to set the color of Bearish Fair Value Gaps.
What it does: Changes the color of Bearish Fair Value Gaps on the chart.
How to use it: Select a color from the color picker.
Additional Info:
Tooltip: Set the maximum number of Bearish Fair Value Gaps to display. Default: 5, Min: 1, Max: 50.
If Fair Value Gaps are not displayed as expected, try increasing the max count.
🟦 Bullish FVG Color
Bullish FVG Color: Set the color for Bullish Fair Value Gaps.
What it is: A color picker to set the color of Bullish Fair Value Gaps.
What it does: Changes the color of Bullish Fair Value Gaps on the chart.
How to use it: Select a color from the color picker.
Additional Info:
Tooltip: Set the maximum number of Bullish Fair Value Gaps to display. Default: 5, Min: 1, Max: 50.
If Fair Value Gaps are not displayed as expected, try increasing the max count.
📏 FVG Range
↔ FVG Range: Set the range for Fair Value Gaps.
What it is: An integer input to set the range of the Fair Value Gaps.
What it does: Adjusts the range of the Fair Value Gaps displayed.
How to use it: Enter a value between 0 and 100.
Additional Info: Adjustable length only works when both RANGE & EXTEND display OFF. Range=current price, Extend=Full Range.
⏭ Extend FVG
Extend⏭: Toggle to extend Fair Value Gaps beyond the current range.
What it is: A boolean input to enable or disable the extension of Fair Value Gaps.
What it does: Extends Fair Value Gaps beyond their default range.
How to use it: Check or uncheck the box to enable or disable.
⏯ FVG Range
Range⏯: Toggle the range of Fair Value Gaps.
What it is: A boolean input to enable or disable the range display for Fair Value Gaps.
What it does: Sets the range of Fair Value Gaps displayed.
How to use it: Check or uncheck the box to enable or disable.
↕ Max Width
↕ Max Width: Set the maximum width of Fair Value Gaps.
What it is: A float input to set the maximum width of Fair Value Gaps.
What it does: Limits the width of Fair Value Gaps as a percentage of the price range.
How to use it: Enter a value between 0 and 5.0.
Additional Info: FVGs wider than this value will be ignored.
♻ Filter FVG
Filter FVG ♻: Toggle to filter out small Fair Value Gaps.
What it is: A boolean input to filter out small Fair Value Gaps.
What it does: Ignores Fair Value Gaps smaller than the specified max width.
How to use it: Check or uncheck the box to enable or disable.
➖ Mid Line Style
➖Mid Line Style: Select the style of the mid line for Fair Value Gaps.
What it is: A dropdown to choose between Solid, Dashed, or Dotted.
What it does: Sets the style of the mid line within Fair Value Gaps.
How to use it: Choose an option from the dropdown.
🎨 Mid Line Color
Mid Line Color: Set the color for the mid line within Fair Value Gaps.
What it is: A color picker to set the color of the mid line.
What it does: Changes the color of the mid line within Fair Value Gaps.
How to use it: Select a color from the color picker.
Additional Information
Mitigation Methods: Each method (Touch, Wicks, Close, Average) provides different criteria for when a Fair Value Gap is considered mitigated, helping traders to understand the dynamics of price movements within gaps.
Volume and Percentage: Displaying volume and percentage information for Fair Value Gaps helps traders gauge the strength and significance of these gaps in relation to trading activity and price movements.
Trendlines visuals:
📊 Trendlines Input Settings
📊 Show Trendlines
Trendlines & Trendlines Difference(%) ↕: Enable or disable trendlines and set the percentage difference from the first trendline.
What it is: A boolean input to toggle the display of trendlines.
What it does: Shows or hides trendlines on the chart and allows setting a percentage difference from the first trendline.
How to use it: Check or uncheck the box to enable or disable.
Additional Info: The percentage difference determines the distance of the second trendline from the first one.
📏 Trendline Length Option
📏Trendline Length: Select the length for trendlines.
What it is: A dropdown to choose between SHORT, MID, LONG, or CUSTOM.
What it does: Sets the length of trendlines.
How to use it: Choose an option from the dropdown.
Additional Info: Default lengths are SHORT=50, MID=100, LONG=200.
🔧 Custom Trendline Length
🔧custom: Specify a custom length for trendlines.
What it is: An integer input for setting a custom trendline length.
What it does: Overrides the default trendline lengths if set to CUSTOM.
How to use it: Enter a custom integer value (only shown when CUSTOM is selected).
🔍 Max Bearish Trendlines
🔍Max Trendlines Bearish: Set the maximum number of bearish trendlines to display.
What it is: A dropdown to select the maximum number of bearish trendlines.
What it does: Limits the number of bearish trendlines shown on the chart.
How to use it: Choose a value from the dropdown (2-20).
🟩 Bearish Trendline Color
Bearish Trendline Color: Set the color for bearish trendlines.
What it is: A color picker to set the color of bearish trendlines.
What it does: Changes the color of bearish trendlines on the chart.
How to use it: Select a color from the color picker.
Additional Info: Adjust to control how many bearish trendlines are displayed.
🔍 Max Bullish Trendlines
🔍Max Trendlines Bullish: Set the maximum number of bullish trendlines to display.
What it is: A dropdown to select the maximum number of bullish trendlines.
What it does: Limits the number of bullish trendlines shown on the chart.
How to use it: Choose a value from the dropdown (2-20).
🟥 Bullish Trendline Color
Bullish Trendline Color: Set the color for bullish trendlines.
What it is: A color picker to set the color of bullish trendlines.
What it does: Changes the color of bullish trendlines on the chart.
How to use it: Select a color from the color picker.
Additional Info: Adjust to control how many bullish trendlines are displayed.
📐 Degrees Text
📐Degrees ° (💬 Size): Enable or disable degrees text and set its size and color.
What it is: A boolean input to show or hide the degrees text for trendlines.
What it does: Displays the degrees text for trendlines.
How to use it: Check or uncheck the box to enable or disable.
📏 Text Size for Degrees
Text Size: Set the text size for degrees on trendlines.
What it is: A dropdown to select the size of the degrees text.
What it does: Changes the size of the degrees text displayed for trendlines.
How to use it: Choose a size from the dropdown (XS, S, M, L, XL).
🎨 Degrees Text Color
Degrees Text Color: Set the color for the degrees text on trendlines.
What it is: A color picker to set the color of the degrees text.
What it does: Changes the color of the degrees text on the chart.
How to use it: Select a color from the color picker.
♻ Filter Degrees
♻ Filter Degrees °: Enable or disable angle filtering and set the angle range.
What it is: A boolean input to filter trendlines by their angle.
What it does: Shows only trendlines within a specified angle range.
How to use it: Check or uncheck the box to enable or disable.
Additional Info: Angles outside this range will be filtered out.
🔢 Angle Range
Angle Range: Set the angle range for filtering trendlines.
What it is: Two float inputs to set the minimum and maximum angle for trendlines.
What it does: Defines the range of angles for which trendlines will be shown.
How to use it: Enter values for the minimum and maximum angles.
➖ Line Style
➖Style #1 & #2: Select the style of the primary and secondary trendlines.
What it is: Two dropdowns to choose between Solid, Dashed, or Dotted for the trendlines.
What it does: Sets the style of the primary and secondary trendlines.
How to use it: Choose a style from each dropdown.
📏 Line Thickness
: Set the thickness for the trendlines.
What it is: An integer input to set the thickness of the trendlines.
What it does: Adjusts the thickness of the trendlines displayed on the chart.
How to use it: Enter a value between 1 and 5.
Additional Information
Trendline Percentage Difference: Setting a percentage difference helps in analyzing the relative position and angle of trendlines.
Filtering by Angle: This feature allows focusing on trendlines within a specific angle range, enhancing the clarity of trend analysis.
BOS & CHOCH Market Structure visuals:
📊 BOS & CHOCH Market Structure Input Settings
📏 Market Structure Length Option
📏Market Structure: Select the market structure length option.
What it is: A dropdown to choose between INTERNAL, EXTERNAL, ALL, CUSTOM, or NONE.
What it does: Sets the type of market structure to be displayed.
How to use it: Choose an option from the dropdown.
Additional Info:
INTERNAL: Only internal structure.
EXTERNAL: Only external structure.
ALL: Both internal and external structures.
CUSTOM: Custom lengths.
NONE: No structure.
🔧 Custom Internal Length
🔧Custom Internal: Specify a custom length for internal market structure.
What it is: An integer input for setting a custom internal length.
What it does: Defines the length of internal market structures if CUSTOM is selected.
How to use it: Enter a custom integer value (only shown when CUSTOM is selected).
💬 Internal Label Size
💬Internal Label Size: Set the label size for internal market structures.
What it is: A dropdown to select the size of the labels.
What it does: Changes the size of the labels for internal market structures.
How to use it: Choose a size from the dropdown (XS, S, M, L, XL).
🟩 Internal Bullish Color
Internal Bullish Color: Set the color for bullish internal market structures.
What it is: A color picker to set the color of bullish internal market structures.
What it does: Changes the color of bullish internal market structures on the chart.
How to use it: Select a color from the color picker.
🟥 Internal Bearish Color
Internal Bearish Color: Set the color for bearish internal market structures.
What it is: A color picker to set the color of bearish internal market structures.
What it does: Changes the color of bearish internal market structures on the chart.
How to use it: Select a color from the color picker.
🔧 Custom External Length
🔧Custom External: Specify a custom length for external market structure.
What it is: An integer input for setting a custom external length.
What it does: Defines the length of external market structures if CUSTOM is selected.
How to use it: Enter a custom integer value (only shown when CUSTOM is selected).
💬 External Label Size
💬External Label Size: Set the label size for external market structures.
What it is: A dropdown to select the size of the labels.
What it does: Changes the size of the labels for external market structures.
How to use it: Choose a size from the dropdown (XS, S, M, L, XL).
🟩 External Bullish Color
External Bullish Color: Set the color for bullish external market structures.
What it is: A color picker to set the color of bullish external market structures.
What it does: Changes the color of bullish external market structures on the chart.
How to use it: Select a color from the color picker.
🟥 External Bearish Color
External Bearish Color: Set the color for bearish external market structures.
What it is: A color picker to set the color of bearish external market structures.
What it does: Changes the color of bearish external market structures on the chart.
How to use it: Select a color from the color picker.
📐 Show Equal Highs and Lows
EQL & EQH📐: Toggle visibility for equal highs and lows.
What it is: A boolean input to show or hide equal highs and lows.
What it does: Displays or hides equal highs and lows on the chart.
How to use it: Check or uncheck the box to enable or disable.
📏 Equal Highs and Lows Threshold
Equal Highs and Lows Threshold: Set the threshold for equal highs and lows.
What it is: A float input to set the threshold for equal highs and lows.
What it does: Defines the range within which highs and lows are considered equal.
How to use it: Enter a value between 0 and 10.
💬 Label Size for Equal Highs and Lows
💬Label Size for Equal Highs and Lows: Set the label size for equal highs and lows.
What it is: A dropdown to select the size of the labels.
What it does: Changes the size of the labels for equal highs and lows.
How to use it: Choose a size from the dropdown (XS, S, M, L, XL).
🟩 Bullish Color for Equal Highs and Lows
Bullish Color for Equal Highs and Lows: Set the color for bullish equal highs and lows.
What it is: A color picker to set the color of bullish equal highs and lows.
What it does: Changes the color of bullish equal highs and lows on the chart.
How to use it: Select a color from the color picker.
🟥 Bearish Color for Equal Highs and Lows
Bearish Color for Equal Highs and Lows: Set the color for bearish equal highs and lows.
What it is: A color picker to set the color of bearish equal highs and lows.
What it does: Changes the color of bearish equal highs and lows on the chart.
How to use it: Select a color from the color picker.
📏 Show Swing Points
Swing Points📏: Toggle visibility for swing points.
What it is: A boolean input to show or hide swing points.
What it does: Displays or hides swing points on the chart.
How to use it: Check or uncheck the box to enable or disable.
📏 Swing Points Length Option
Swing Points Length Option: Select the length for swing points.
What it is: A dropdown to choose between SHORT, MID, LONG, or CUSTOM.
What it does: Sets the length of swing points.
How to use it: Choose an option from the dropdown.
Additional Info: Default lengths are SHORT=10, MID=28, LONG=50.
💬 Swing Points Label Size
💬Swing Points Label Size: Set the label size for swing points.
What it is: A dropdown to select the size of the labels.
What it does: Changes the size of the labels for swing points.
How to use it: Choose a size from the dropdown (XS, S, M, L, XL).
🎨 Swing Points Color
Swing Points Color: Set the color for swing points.
What it is: A color picker to set the color of swing points.
What it does: Changes the color of swing points on the chart.
How to use it: Select a color from the color picker.
🔧 Custom Swing Points Length
🔧Custom Swings: Specify a custom length for swing points.
What it is: An integer input for setting a custom length for swing points.
What it does: Defines the length of swing points if CUSTOM is selected.
How to use it: Enter a custom integer value (only shown when CUSTOM is selected).
Additional Information
Market Structure Types: Understanding internal and external structures helps in analyzing different market behaviors.
Equal Highs and Lows: This feature identifies areas where price action is balanced, which can be significant for trading strategies.
Swing Points: Highlighting swing points aids in recognizing significant market reversals or continuations.
Benefits
Enhance your trading strategy by visualizing smart money's influence on price movements.
Make informed decisions with real-time data on significant market structures.
Reduce manual analysis with automated detection of key trading signals.
Ideal For
Traders looking for an edge in forex, equities, and cryptocurrency markets by understanding the underlying forces driving market dynamics.
Acknowledgements
Special thanks to these amazing creators for inspiration and their creations:
I want to thank these amazing creators for creating there amazing indicators , that inspired me and also gave me a head start by making this indicator! Without their amazing indicators it wouldn't be possible!
Flux Charts: Volumized Order Blocks
LuxAlgo: Trend Lines
UAlgo: Fair Value Gaps (FVG)
By Leviathan: Market Structure
Sonarlab: Liquidity Levels
Note
Remember to always backtest the indicator first before integrating it into your strategy! For any questions about the indicator, please feel free to ask for assistance.
Follow-up Buy / Sell Volume Pressure at Supply / Demand Zones█ Overview:
BE-Volume Footprint & Pressure Candles, is an indicator which is preliminarily designed to analyze the supply and demand patterns based on Rally Base Rally (RBR), Drop Base Drop (DBD), Drop Base Rally (DBR) & Rally Base Drop (RBD) concepts in conjunction to volume pressure. Understanding these concepts are crucial. Let's break down why the "Base" is you Best friend in this context.
Commonness in RBR, DBD, DBR, RBD patterns ?
There is an impulse price movement at first, be it rally (price moving up) or the Drop (price moving down), followed by a period of consolidation which is referred as "BASE" and later with another impulse move of price (Rally or Drop).
Why is the Base Important
1. Market Balance: Base represents a balance between buyers and sellers. This is where decisions are made.
2. Confirmation: It confirms the strength of previous impulse move which has happened.
Base & the Liquidity Play:
Supply & Demand Zone predict the presence of all large orders within the limits of the Base Zone. Price is expected to return to the zone to fill the unfilled orders placed by large players.
For the price to move in the intended direction Liquidity plays the major role. hence indicator aims to help traders in identifying those zones where liquidity exists and the volume pressure helps in confirming that liquidity is making its play.
Bottom pane in the below snapshots is a visual representation of Buyers volume pressure (Green Line & the Green filled area) making the price move upwards vs Sellers volume pressure (Red Line & the Red filled area) making the price move downwards.
Top pane in the below snapshots is a visual representation on the pattern identification (Blue marked zone & the Blue line referred as Liquidity level)
Bullish Pressure On Buy Liquidity:
Bearish Pressure On Sell Liquidity:
█ How It Works:
1. Indicator computes technical & mathematical operations such as ATR, delta of Highs & Lows of the candle and Candle ranges to identify the patterns and marks the liquidity lines accordingly.
2. Indicator then waits for price to return to the liquidity levels and checks if Directional volume pressure to flow-in while the prices hover near the Liquidity zones.
3. Once the Volume pressure is evident, loop in to the ride.
█ When It wont Work:
When there no sufficient Liquidity or sustained Opposite volume pressure, trades are expected to fail.
█ Limitations:
Works only on the scripts which has volume info. Relays on LTF candles to determine intra-bar volumes. Hence, Use on TF greater than 1 min and lesser than 15 min.
█ Indicator Features:
1. StrictEntries: employs' tighter rules (rather most significant setups) on the directional volume pressure applied for the price to move. If unchecked, liberal rules applied on the directional volume pressure leading to more setups being identified.
2. Setup Confirmation period: Indicates Waiting period to analyze the directional volume pressure. Early (lesser wait period) is Risky and Late (longer wait period) is too late for the
ride. Find the quant based on the accuracy of the setup provided in the bottom right table.
3. Algo Enabled with Place Holders:
Indicator is equipped with algo alerts, supported with necessary placeholders to trade any instrument like stock, options etc.
Accepted PlaceHolders (Case Sensitive!!)
1. {{ticker}}-->InstrumentName
2. {{datetime}}-->Date & Time Of Order Placement
3. {{close}}-->LTP Price of Script
4. {{TD}}-->Current Level:
Note: Negative Numbers for Short Setup
5. {{EN}} {{SL}} {{TGT}} {{T1}} {{T2}} --> Trade Levels
6. {{Qty}} {{Qty*x}} --> Qty -> Trade Qty mapped in Settings. Replace x with actual number of your choice for the multiplier
7. {{BS}}-->Based on the Direction of Trade Output shall be with B or S (B == Long Trade & S == Short Trade)
8. {{BUYSELL}}-->Based on the Direction of Trade Output shall be with BUY or SELL (BUY == Long Trade & SELL == Short Trade)
9. {{IBUYSELL}}-->Based on the Direction of Trade Output shall be with BUY or SELL (BUY == SHORT Trade & SELL == LONG Trade)
Dynamic Alerts:
10. { {100R0} }-->Dynamic Place Holder 100 Refers to Strike Difference and Zero refers to ATM
11. { {100R-1} }-->Dynamic Place Holder 100 Refers to Strike Difference and -1 refers to
ATM - 100 strike
12. { {50R2} }-->Dynamic Place Holder 50 Refers to Strike Difference and 2 refers to
ATM + (2 * 50 = 100) strike
13. { {"ddMMyy", 0} }-->Dynamically Picks today date in the specified format.
14. { {"ddMMyy", n} }-->replace n with actual number of your choice to Pick date post today date in the specified format.
15. { {"ddMMyy", "MON"} }-->dynamically pick Monday date (coming Monday, if today is not Monday)
Note. for the 2nd Param-->you can choose to specify either Number OR any letter from =>
16. {{CEPE}} {{ICEPE}} {{CP}} {{ICP}} -> Dynamic Option Side CE or C refers to Calls and PE or P refers to Puts. If "I" is used in PlaceHolder text, On long entries PUTs shall be used
Indicator is equipped with customizable Trade & Risk management settings like multiple Take profit levels, Trailing SL.
Son Model ICT [TradingFinder] HTF DOL H1 + Sweep M15 + FVG M1🔵 Introduction
The ICT Son Model setup is a precise trading strategy based on market structure and liquidity, implemented across multiple timeframes. This setup first identifies a liquidity level in the 1-hour (1H) timeframe and then confirms a Market Structure Shift (MSS) in the 5-minute (5M) timeframe to validate the trend. After confirmation, the price forms a new swing in the 5-minute timeframe, absorbing liquidity.
Once this level is broken, traders typically drop to the 30-second (30s) timeframe and enter trades based on a Fair Value Gap (FVG). However, since access to the 30-second timeframe is not available to most traders, we take the entry signal directly from the 5-minute timeframe, using the same liquidity zones and confirmed breakouts to execute trades. This approach simplifies execution and makes the strategy accessible to all traders.
This model operates in two setups :
Bullish ICT Son Model and Bearish ICT Son Model. In the bullish setup, liquidity is first accumulated at the lows of the 1-hour timeframe, and after confirming a market structure shift, a long position is initiated. Conversely, in the bearish setup, liquidity is first drawn from higher levels, and upon confirmation of a bearish trend, a short position is executed.
Bullish Setup :
Bearish Setup :
🔵 How to Use
The ICT Son Model setup is designed around liquidity analysis and market structure shifts and can be applied in both bullish and bearish market conditions. The strategy first identifies a liquidity level in the 1-hour (1H) timeframe and then confirms a Market Structure Shift (MSS) in the 5-minute (5M) timeframe.
After this shift, the price forms a new swing, absorbing liquidity. When this level is broken in the 5-minute timeframe, the trader enters based on a Fair Value Gap (FVG). While the ideal entry is in the 30-second (30s) timeframe, due to accessibility constraints, we take entry signals directly from the 5-minute timeframe.
🟣 Bullish Setup
In the Bullish ICT Son Model, the 1-hour timeframe first identifies liquidity at the market lows, where price sweeps this level to absorb liquidity. Then, in the 5-minute timeframe, an MSS confirms the bullish shift.
After confirmation, the price forms a new swing, absorbing liquidity at a higher level. The price then retraces into a Fair Value Gap (FVG) created in the 5-minute timeframe, where the trader enters a long position, placing the stop-loss below the FVG.
🟣 Bearish Setup
In the Bearish ICT Son Model, liquidity at higher market levels is identified in the 1-hour timeframe, where price sweeps these levels to absorb liquidity. Then, in the 5-minute timeframe, an MSS confirms the bearish trend.
After confirmation, the price forms a new swing, absorbing liquidity at a lower level. The price then retraces into a Fair Value Gap (FVG) created in the 5-minute timeframe, where the trader enters a short position, placing the stop-loss above the FVG.
🔵 Settings
Swing period : You can set the swing detection period.
Max Swing Back Method : It is in two modes "All" and "Custom". If it is in "All" mode, it will check all swings, and if it is in "Custom" mode, it will check the swings to the extent you determine.
Max Swing Back : You can set the number of swings that will go back for checking.
FVG Length : Default is 120 Bar.
MSS Length : Default is 80 Bar.
FVG Filter : This refines the number of identified FVG areas based on a specified algorithm to focus on higher quality signals and reduce noise.
Types of FVG filters :
Very Aggressive Filter: Adds a condition where, for an upward FVG, the last candle's highest price must exceed the middle candle's highest price, and for a downward FVG, the last candle's lowest price must be lower than the middle candle's lowest price. This minimally filters out FVGs.
Aggressive Filter: Builds on the Very Aggressive mode by ensuring the middle candle is not too small, filtering out more FVGs.
Defensive Filter: Adds criteria regarding the size and structure of the middle candle, requiring it to have a substantial body and specific polarity conditions, filtering out a significant number of FVGs.
Very Defensive Filter: Further refines filtering by ensuring the first and third candles are not small-bodied doji candles, retaining only the highest quality signals.
🔵 Conclusion
The ICT Son Model setup is a structured and precise method for trade execution based on liquidity analysis and market structure shifts. This strategy first identifies a liquidity level in the 1-hour timeframe and then confirms a trend shift using the 5-minute timeframe.
Trade entries are executed based on Fair Value Gaps (FVGs), which highlight optimal entry points. By applying this model, traders can leverage existing market liquidity to enter high-probability trades. The bullish setup activates when liquidity is swept from market lows and a market structure shift confirms an upward trend, whereas the bearish setup is used when liquidity is drawn from market highs, confirming a downtrend.
This approach enables traders to identify high-probability trade setups with greater precision compared to many other strategies. Additionally, since access to the 30-second timeframe is limited, the strategy remains fully functional in the 5-minute timeframe, making it more practical and accessible for a wider range of traders.
ICT Concepts [LuxAlgo]The ICT Concepts indicator regroups core concepts highlighted by trader and educator "The Inner Circle Trader" (ICT) into an all-in-one toolkit. Features include Market Structure (MSS & BOS), Order Blocks, Imbalances, Buyside/Sellside Liquidity, Displacements, ICT Killzones, and New Week/Day Opening Gaps.
🔶 SETTINGS
🔹 Mode
When Present is selected, only data of the latest 500 bars are used/visualized, except for NWOG/NDOG
🔹 Market Structure
Enable/disable Market Structure.
Length: will set the lookback period/sensitivity.
In Present Mode only the latest Market Structure trend will be shown, while in Historical Mode, previous trends will be shown as well:
You can toggle MSS/BOS separately and change the colors:
🔹 Displacement
Enable/disable Displacement.
🔹 Volume Imbalance
Enable/disable Volume Imbalance.
# Visible VI's: sets the amount of visible Volume Imbalances (max 100), color setting is placed at the side.
🔹 Order Blocks
Enable/disable Order Blocks.
Swing Lookback: Lookback period used for the detection of the swing points used to create order blocks.
Show Last Bullish OB: Number of the most recent bullish order/breaker blocks to display on the chart.
Show Last Bearish OB: Number of the most recent bearish order/breaker blocks to display on the chart.
Color settings.
Show Historical Polarity Changes: Allows users to see labels indicating where a swing high/low previously occurred within a breaker block.
Use Candle Body: Allows users to use candle bodies as order block areas instead of the full candle range.
Change in Order Blocks style:
🔹 Liquidity
Enable/disable Liquidity.
Margin: sets the sensitivity, 2 points are fairly equal when:
'point 1' < 'point 2' + (10 bar Average True Range / (10 / margin)) and
'point 1' > 'point 2' - (10 bar Average True Range / (10 / margin))
# Visible Liq. boxes: sets the amount of visible Liquidity boxes (max 50), this amount is for Sellside and Buyside boxes separately.
Colour settings.
Change in Liquidity style:
🔹 Fair Value Gaps
Enable/disable FVG's.
Balance Price Range: this is the overlap of latest bullish and bearish Fair Value Gaps.
By disabling Balance Price Range only FVGs will be shown.
Options: Choose whether you wish to see FVG or Implied Fair Value Gaps (this will impact Balance Price Range as well)
# Visible FVG's: sets the amount of visible FVG's (max 20, in the same direction).
Color settings.
Change in FVG style:
🔹 NWOG/NDOG
Enable/disable NWOG; color settings; amount of NWOG shown (max 50).
Enable/disable NDOG ; color settings; amount of NDOG shown (max 50).
🔹 Fibonacci
This tool connects the 2 most recent bullish/bearish (if applicable) features of your choice, provided they are enabled.
3 examples (FVG, BPR, OB):
Extend lines -> Enabled (example OB):
🔹 Killzones
Enable/disable all or the ones you need.
Time settings are coded in the corresponding time zones.
🔶 USAGE
By default, the indicator displays each feature relevant to the most recent price variations in order to avoid clutter on the chart & to provide a very similar experience to how a user would contruct ICT Concepts by hand.
Users can use the historical mode in the settings to see historical market structure/imbalances. The ICT Concepts indicator has various use cases, below we outline many examples of how a trader could find usage of the features together.
In the above image we can see price took out Sellside liquidity, filled two bearish FVGs, a market structure shift, which then led to a clean retest of a bullish FVG as a clean setup to target the order block above.
Price then fills the OB which creates a breaker level as seen in yellow.
Broken OBs can be useful for a trader using the ICT Concepts indicator as it marks a level where orders have now been filled, indicating a solidified level that has proved itself as an area of liquidity. In the image above we can see a trade setup using a broken bearish OB as a potential entry level.
We can see the New Week Opening Gap (NWOG) above was an optimal level to target considering price may tend to fill / react off of these levels according to ICT.
In the next image above, we have another example of various use cases where the ICT Concepts indicator hypothetically allow traders to find key levels & find optimal entry points using market structure.
In the image above we can see a bearish Market Structure Shift (MSS) is confirmed, indicating a potential trade setup for targeting the Balanced Price Range imbalance (BPR) below with a stop loss above the buyside liquidity.
Although what we are demonstrating here is a hindsight example, it shows the potential usage this toolkit gives you for creating trading plans based on ICT Concepts.
Same chart but playing out the history further we can see directly after price came down to the Sellside liquidity & swept below it...
Then by enabling IFVGs in the settings, we can see the IFVG retests alongside the Sellside & Buyside liquidity acting in confluence.
Which allows us to see a great bullish structure in the market with various key levels for potential entries.
Here we can see a potential bullish setup as price has taken out a previous Sellside liquidity zone and is now retesting a NWOG + Volume Imbalance.
Users also have the option to display Fibonacci retracements based on market structure, order blocks, and imbalance areas, which can help place limit/stop orders more effectively as well as finding optimal points of interest beyond what the primary ICT Concepts features can generate for a trader.
In the above image we can see the Fibonacci extension was selected to be based on the NWOG giving us some upside levels above the buyside liquidity.
🔶 DETAILS
Each feature within the ICT Concepts indicator is described in the sub sections below.
🔹 Market Structure
Market structure labels are constructed from price breaking a prior swing point. This allows a user to determine the current market trend based on the price action.
There are two types of Market Structure labels included:
Market Structure Shift (MSS)
Break Of Structure (BOS)
A MSS occurs when price breaks a swing low in an uptrend or a swing high in a downtrend, highlighting a potential reversal. This is often labeled as "CHoCH", but ICT specifies it as MSS.
On the other hand, BOS labels occur when price breaks a swing high in an uptrend or a swing low in a downtrend. The occurrence of these particular swing points is caused by retracements (inducements) that highlights liquidity hunting in lower timeframes.
🔹 Order Blocks
More significant market participants (institutions) with the ability of placing large orders in the market will generally place a sequence of individual trades spread out in time. This is referred as executing what is called a "meta-order".
Order blocks highlight the area where potential meta-orders are executed. Bullish order blocks are located near local bottoms in an uptrend while bearish order blocks are located near local tops in a downtrend.
When price mitigates (breaks out) an order block, a breaker block is confirmed. We can eventually expect price to trade back to this breaker block offering a new trade opportunity.
🔹 Buyside & Sellside Liquidity
Buyside / Sellside liquidity levels highlight price levels where market participants might place limit/stop orders.
Buyside liquidity levels will regroup the stoploss orders of short traders as well as limit orders of long traders, while Sellside liquidity levels will regroup the stoploss orders of long traders as well as limit orders of short traders.
These levels can play different roles. More informed market participants might view these levels as source of liquidity, and once liquidity over a specific level is reduced it will be found in another area.
🔹 Imbalances
Imbalances highlight disparities between the bid/ask, these can also be defined as inefficiencies, which would suggest that not all available information is reflected by the price and would as such provide potential trading opportunities.
It is common for price to "rebalance" and seek to come back to a previous imbalance area.
ICT highlights multiple imbalance formations:
Fair Value Gaps: A three candle formation where the candle shadows adjacent to the central candle do not overlap, this highlights a gap area.
Implied Fair Value Gaps: Unlike the fair value gap the implied fair value gap has candle shadows adjacent to the central candle overlapping. The gap area is constructed from the average between the respective shadow and the nearest extremity of their candle body.
Balanced Price Range: Balanced price ranges occur when a fair value gap overlaps a previous fair value gap, with the overlapping area resulting in the imbalance area.
Volume Imbalance: Volume imbalances highlight gaps between the opening price and closing price with existing trading activity (the low/high overlap the previous high/low).
Opening Gap: Unlike volume imbalances opening gaps highlight areas with no trading activity. The low/high does not reach previous high/low, highlighting a "void" area.
🔹 Displacement
Displacements are scenarios where price forms successive candles of the same sentiment (bullish/bearish) with large bodies and short shadows.
These can more technically be identified by positive auto correlation (a close to open change is more likely to be followed by a change of the same sign) as well as volatility clustering (large changes are followed by large changes).
Displacements can be the cause for the formation of imbalances as well as market structure, these can be caused by the full execution of a meta order.
🔹 Kill Zones
Killzones represent different time intervals that aims at offering optimal trade entries. Killzones include:
- New York Killzone (7:9 ET)
- London Open Killzone (2:5 ET)
- London Close Killzone (10:12 ET)
- Asian Killzone (20:00 ET)
🔶 Conclusion & Supplementary Material
This script aims to emulate how a trader would draw each of the covered features on their chart in the most precise representation to how it's actually taught by ICT directly.
There are many parallels between ICT Concepts and Smart Money Concepts that we released in 2022 which has a more general & simpler usage:
ICT Concepts, however, is more specifically aligned toward the community's interpretation of how to analyze price 'based on ICT', rather than displaying features to have a more classic interpretation for a technical analyst.
ICT Venom Trading Model [TradingFinder] SMC NY Session 2025SetupIntroduction
The ICT Venom Model is one of the most advanced strategies in the ICT framework, designed for intraday trading on major US indices such as US100, US30, and US500. This model is rooted in liquidity theory, time and price dynamics, and institutional order flow.
The Venom Model focuses on detecting Liquidity Sweeps, identifying Fair Value Gaps (FVG), and analyzing Market Structure Shifts (MSS). By combining these ICT core concepts, traders can filter false breakouts, capture sharp reversals, and align their entries with the real institutional liquidity flow during the New York Session.
Key Highlights of ICT Venom Model :
Intraday focus : Optimized for US indices (US100, US30, US500).
Time element : Critical window is 08:00–09:30 AM (Venom Box).
Liquidity sweep logic : Price grabs liquidity at 09:30 AM open.
Confirmation tools : MSS, CISD, FVG, and Order Blocks.
Dual setups : Works in both Bullish Venom and Bearish Venom conditions.
At its core, the ICT Venom Strategy is a framework that explains how institutional players manipulate liquidity pools by engineering false breakouts around the initial range of the market. Between 08:00 and 09:30 AM New York time, a range called the “Venom Box” is formed.
This range acts as a trap for retail traders, and once the 09:30 AM market open occurs, price usually sweeps either the high or the low of this box to collect stop-loss liquidity. After this liquidity grab, the market often reverses sharply, giving birth to a classic Bullish Venom Setup or Bearish Venom Setup
The Venom Model (ICT Venom Trading Strategy) is not just a pattern recognition tool but a precise institutional trading model based on time, liquidity, and market structure. By understanding the Initial Balance Range, watching for Liquidity Sweeps, and entering trades from FVG zones or Order Blocks, traders can anticipate market reversals with high accuracy. This strategy is widely respected among ICT followers because it offers both risk management discipline and clear entry/exit conditions. In short, the Venom Model transforms liquidity manipulation into actionable trading opportunities.
Bullish Setup :
Bearish Setup :
🔵 How to Use
The ICT Venom Model is applied by observing price behavior during the early hours of the New York session. The first step is to define the Initial Range, also called the Venom Box, which is formed between 08:00 and 09:30 AM EST. This range marks the high and low points where institutional traders often create traps for retail participants. Once the official market opens at 09:30 AM, price usually sweeps either the top or bottom of this box to collect liquidity.
After this liquidity grab, the market tends to reverse in alignment with the true directional bias. To confirm the setup, traders look for signals such as a Market Structure Shift (MSS), Change in State of Delivery (CISD), or the appearance of a Fair Value Gap (FVG). These elements validate the reversal and provide precise levels for trade execution.
🟣 Bullish Setup
In a Bullish Venom Setup, the market first sweeps the low of the Venom Box after 09:30 AM, triggering sell-side liquidity collection. This downward move is often sharp and deceptive, designed to stop out retail long positions and attract new sellers. Once liquidity is taken, the market typically shifts direction, forming an MSS or CISD that signals a reversal to the upside.
Traders then wait for price to retrace into a Fair Value Gap or a demand-side Order Block created during the reversal leg. This retracement offers the ideal entry point for long positions. Stop-loss placement should be just below the liquidity sweep low, while profit targets are set at the Venom Box high and, if momentum continues, at higher session or daily highs.
🟣 Bearish Setup
In a Bearish Venom Setup, the process is similar but reversed. After the Initial Range is defined, if price breaks above the Venom Box high following the 09:30 AM open, it signals a false breakout designed to collect buy-side liquidity. This move usually traps eager buyers and clears out stop-losses above the high.
After the liquidity sweep, confirmation comes through an MSS or CISD pointing to a reversal downward. At this stage, traders anticipate a retracement into a Fair Value Gap or a supply-side Order Block formed during the reversal. Short entries are taken within this zone, with stop-loss positioned just above the liquidity sweep high. The logical profit targets include the Venom Box low and, in stronger bearish momentum, deeper session or daily lows.
🔵 Settings
Refine Order Block : Enables finer adjustments to Order Block levels for more accurate price responses.
Mitigation Level OB : Allows users to set specific reaction points within an Order Block, including: Proximal: Closest level to the current price. 50% OB: Midpoint of the Order Block. Distal: Farthest level from the current price.
FVG Filter : The Judas Swing indicator includes a filter for Fair Value Gap (FVG), allowing different filtering based on FVG width: FVG Filter Type: Can be set to "Very Aggressive," "Aggressive," "Defensive," or "Very Defensive." Higher defensiveness narrows the FVG width, focusing on narrower gaps.
Mitigation Level FVG : Like the Order Block, you can set price reaction levels for FVG with options such as Proximal, 50% OB, and Distal.
CISD : The Bar Back Check option enables traders to specify the number of past candles checked for identifying the CISD Level, enhancing CISD Level accuracy on the chart.
🔵 Conclusion
The ICT Venom Model is more than just a reversal setup; it is a complete intraday trading framework that blends liquidity theory, time precision, and market structure analysis. By focusing on the Initial Range between 08:00 and 09:30 AM New York time and observing how price reacts at the 09:30 AM open, traders can identify liquidity sweeps that reveal institutional intentions.
Whether in a Bullish Venom Setup or a Bearish Venom Setup, the model allows for precise entries through Fair Value Gaps (FVGs) and Order Blocks, while maintaining clear risk management with well-defined stop-loss and target levels.
Ultimately, the ICT Venom Model provides traders with a structured way to filter false moves and align their trades with institutional order flow. Its strength lies in transforming liquidity manipulation into actionable opportunities, giving intraday traders an edge in timing, accuracy, and consistency. For those who master its logic, the Venom Model becomes not only a strategy for entry and exit, but also a deeper framework for understanding how liquidity truly drives price in the New York session.
Per Volume Price ImpactLiquidity, Information and Market Timing
* Market Liquidity
The term liquidity can refer to many things in finance. In this article, we will limit the scope of discussion to the market’s ability to transact without incurring a significant increase in volatility.
As we know, liquidity and volatility have an inversed relationship — the more ample the liquidity, the lower the volatility (attributed to transaction cost, price movement and, so on). With this understanding, we can say large movements in the market are driven by low liquidity. This does not seem to make sense because the markets are huge, how can it possibly be illiquid? Now, this has to do with how the market operates and how exchanges occur (This topic concerns the area of market microstructure).
* Order Book & the Trading Process
So how does a transaction actually occur in the market? Let’s assume we open a position with a market order. In this case, you will get the price on your quote board if there are enough units of assets people are willing to sell at that price. If there are not enough units, you will buy from the second-best price and so on until your order is filled. Now in the second case, as the order is being filled, the change in price is recorded. Therefore, if someone wishes to move the market, theoretically, they just need to buy up or sell up but it is problematic to do so.
Here is why:
while dry up the liquidity can make huge moves, it is inefficient to do so.
it takes a lot of money to do that
your position will be exposed, someone more resourceful than you may go against you and that is a huge risk
market manipulation charges
when you open a position, the entry price of the position is essentially a VWAP (volume-weighted average price). If you attempt to move the market and open a buy position at the same time, you will have a higher VWAP, eating into your own profit.
I think these reasons are sufficient in establishing why opening a position and drying up liquidity to profit is a dumb idea. But of course, the institutions are not stupid, the alternative is to enter your position first then move the market.
To measure liquidity one of the tools people use is the order book. It can offer an overview of the sentiment (by looking at the orders and changes in volume) and how people are positioned (if the broker offers such data). In my opinion, open interest is a much better tool than order as it records the transactions that have occurred, hence less prone to manipulations (google: “Navinder Singh Sarao”, the trader who used fake orders to manipulate algorithms to crash the market).
But to quantify the order book is so much work as well (there are ways, just difficult), what we can do is to make things simpler.
* Quantify Market Impact
We know price and volume reflect information, while the past technical information has no predictive power per semi-strong form of EMH, empirical studies have often tested this theory over a longer time horizon. In our case, precisely due to the mechanism of exchange and human behavior (The lack of incentive to move the market right away) we can, in the very short term (often intraday), foresee if the market is going to move or not. Back to the very definition of liquidity being the ability to transact without moving the market significantly, we can take this definition and quantify it with this formula:
Market Impact = (High — Low) / Volume
Why specifically “high — low”, because that’s the complete information in that moment and it is corresponding to the volume. A little crude but it is the simplest form.
A few things to take note of here:
We can only know the complete picture once the candle is complete. This is fine in most markets because it takes time to gather money and orders.
We often see high liquidity during certain time of the day, for example, when the market opens and so on. As a result, we need to take some scientific approaches to transform the data.
Now, this looks much better. To interpret this graph, the lower the value, the lower the market impact, the deeper the liquidity.
* Generate Tradable Insights
To generate trade ideas isn’t a difficult task, we all know the RSI, MOM, STOC, etc. all the indicators attempt to draw boundaries, and we can do the same but we need to be a little more advanced and critical.
step 1: we first need to normalize the data. To do that we will take the log of the values to make the skewed distribution normal. The result isn’t ideal if you zoom out but I think this is decent enough to work with. Here is
This is still not a stationary time series, but it looks stable enough and it mean-reverts. So we turn to our lovely standard deviation bands for help.
Step 2: Because this is not a stationary process (visually, you can test it statistically if you wish), we cannot just take sample mean and SD and also because we want to show off our data skills, so we turn to move averages and regressions. I’m going to use moving regression here because I think it is better (mean can be distorted by large values by a larger margin and it lags)
I’m using the moving regression band on TradingView and 1.5 SD here for convenience, you can try to optimize the parameters with codes or other regression models if you wish. But I think it is more important to understand the rationale here.
This step is essentially trying to figure out the anomalies in liquidity so that we can see when there is deep liquidity. This is also why choosing the parameter is crucial because you are essentially approximating how much informed trading is taking place (This is a concept in market microstructure for brokerages to set their spreads but it is not a good tool in a liquid market). By setting the level at 1.5 we are assuming about 86% of the time the market is in what we consider a normal liquid state. (again it is arbitrary, but based on the 68–95–99.7 rule of normal distribution). The rest of the time will be either low or high liquidity, When liquidity is deep, it perhaps, signals institutional money is pouring into the market and big moves may follow.
* Conclusion
There you have it, how to enter the market with the big bucks. But do take note there are plenty of assumptions and a lot to improve on here.
Smart Volume S/R Pro [The_lurker]مؤشر "Smart Volume S/R Pro " هو أداة تحليل فني متقدمة مصممة لمساعدة المتداولين في تحديد مستويات الدعم والمقاومة القوية بناءً على حجم التداول، مع إضافة ميزات تحليلية متطورة مثل تصفية الاتجاه ، مناطق الثقة ، تقييم القوة ، حساب احتمالية الاختراق ، قياس السيولة ، تحديد الأهداف السعرية ، ومستويات فيبوناتشي . وايضا تقديم تسميات (Labels) بجانب كل مستوى دعم ومقاومة، تحتوي على أرقام ومعلومات دقيقة تعكس حالة السوق. هذه التسميات ليست مجرد زينة، بل أدوات تحليلية تساعد المتداولين على اتخاذ قرارات مستنيرة بناءً على بيانات السوقيهدف هذا المؤشر إلى توفير رؤية شاملة للسوق .
الوظائف الرئيسية للمؤشر
1- تحديد مستويات الدعم والمقاومة بناءً على حجم التداول العالي
يقوم المؤشر بتحليل الأشرطة (Bars) السابقة (حتى 300 شريط افتراضيًا) لتحديد النقاط التي شهدت أعلى مستويات حجم التداول.
يرسم خطوط أفقية تمثل مستويات المقاومة (عند أعلى سعر في تلك الأشرطة) والدعم (عند أدنى سعر)، ويمكن للمستخدم اختيار عدد الخطوط المعروضة (من 1 إلى 6).
2- تصفية الاتجاه باستخدام مؤشر ADX
يستخدم المؤشر مؤشر الاتجاه المتوسط (ADX) لتقييم قوة الاتجاه في السوق.
عندما تكون قوة الاتجاه عالية (تتجاوز عتبة محددة، 25 افتراضيًا)، يقلل المؤشر عدد مستويات الدعم والمقاومة المعروضة للتركيز فقط على المستويات الأكثر أهمية.
3- مناطق الثقة الديناميكية
يضيف المؤشر مناطق حول مستويات الدعم والمقاومة بناءً على متوسط المدى الحقيقي (ATR)، مما يساعد المتداولين على تصور النطاقات التي قد يتفاعل فيها السعر مع هذه المستويات.
يمكن تعديل عرض هذه المناطق باستخدام مضاعف ATR.
4- تقييم قوة المستويات
يحسب المؤشر قوة كل مستوى بناءً على حجم التداول، عدد المرات التي تم اختبار المستوى فيها (Touch Count)، وقرب السعر الحالي من المستوى.
يتم عرض درجة القوة (من 0 إلى 100) بجانب كل مستوى إذا تم تفعيل هذه الخاصية.
5- احتمالية الاختراق
يقدّر المؤشر احتمالية اختراق كل مستوى بناءً على الزخم (ROC)، قوة المستوى، والمسافة بين السعر الحالي والمستوى.
يظهر الاحتمال كنسبة مئوية إذا تم تفعيل الخيار، مما يساعد المتداولين على توقع الحركات المحتملة.
6- تحليل السيولة التاريخية
يقيس المؤشر السيولة حول كل مستوى بناءً على حجم التداول في النطاقات القريبة منه.
يمكن عرض قيم السيولة في التسميات أو استخدامها لتعديل عرض الخطوط (الخطوط الأكثر سيولة تظهر أعرض).
7- الأهداف السعرية
عند تفعيل هذه الخاصية، يحسب المؤشر أهداف سعرية للاختراق (Breakout) والارتداد (Reversal) بناءً على الزخم وقوة المستوى وATR.
يمكن عرض هذه الأهداف كنصوص في التسميات أو كخطوط أفقية على الرسم البياني.
8- مستويات فيبوناتشي
يرسم المؤشر مستويات فيبوناتشي (0.0، 0.236، 0.382، 0.5، 0.618، 0.786، 1.0) بناءً على أعلى وأدنى سعر في فترة النظرة الخلفية.
يمكن للمستخدم اختيار أي من هذه المستويات لعرضها أو إخفائها.
9- تنبيه شامل للاختراق
يوفر المؤشر تنبيهًا واحدًا يشمل جميع المستويات، حيث يُطلق التنبيه عندما يخترق السعر أي مستوى دعم أو مقاومة مع رسالة توضح نوع الاختراق والمستوى المخترق.
كيفية عمل المؤشر
الخطوة الأولى: يحدد المؤشر الأشرطة ذات الحجم العالي خلال فترة النظرة الخلفية المحددة (Lookback Period).
الخطوة الثانية: يرسم مستويات الدعم والمقاومة بناءً على أعلى وأدنى الأسعار في تلك الأشرطة، مع مراعاة عدد الخطوط المختارة من المستخدم.
الخطوة الثالثة: يطبق مرشح الاتجاه (إذا كان مفعلاً) لتقليل عدد المستويات في حالة الاتجاه القوي.
الخطوة الرابعة: يضيف التحليلات الإضافية مثل القوة، السيولة، احتمالية الاختراق، والأهداف السعرية، ويرسم مناطق الثقة ومستويات فيبوناتشي حسب الإعدادات.
الخطوة الخامسة: يراقب السعر ويطلق تنبيهًا عند الاختراق.
الإعدادات القابلة للتخصيص
1- فترة النظرة الخلفية (Lookback Period): عدد الأشرطة التي يتم تحليلها (افتراضيًا 300).
2- عدد الخطوط (Number of Lines): من 1 إلى 6 مستويات دعم ومقاومة.
3- الألوان والأنماط: يمكن تغيير ألوان الخطوط وأنماطها (ممتلئة، متقطعة، منقطة).
4- التسميات: تفعيل/تعطيل التسميات، وحجمها، وموقعها، ولون النص.
5- مرشح الاتجاه: تفعيل/تعطيل ADX، وتعديل طوله وعتبته.
6- مناطق الثقة: تفعيل/تعطيل، وتعديل طول ATR ومضاعفه.
7- القوة واحتمالية الاختراق: تفعيل/تعطيل العرض، وتعديل طول ROC.
8- السيولة: تفعيل/تعطيل تأثير السيولة على عرض الخطوط وقيمها في التسميات.
9- الأهداف السعرية: تفعيل/تعطيل الأهداف وعرضها كخطوط.
10- فيبوناتشي: اختيار المستويات المعروضة ولون الخطوط.
فوائد المؤشر
دقة عالية: يعتمد على حجم التداول لتحديد المستويات، مما يجعله أكثر موثوقية من المستويات العشوائية.
مرونة: يوفر خيارات تخصيص واسعة تتيح للمتداولين تكييفه حسب استراتيجياتهم.
تحليل شامل: يجمع بين الدعم والمقاومة، الاتجاه، السيولة، والأهداف في أداة واحدة.
سهولة الاستخدام: التسميات والتنبيهات تجعل من السهل متابعة السوق دون تعقيد.
==================================================================================تسميات (Labels) بجانب كل مستوى دعم ومقاومة، تحتوي على أرقام ومعلومات دقيقة تعكس حالة السوق. هذه التسميات ليست مجرد زينة، بل أدوات تحليلية تساعد المتداولين على اتخاذ قرارات مستنيرة بناءً على بيانات السوق. في هذا الشرح، سنستعرض كل رقم أو قيمة تظهر في التسميات ومعناها العملي.
مكونات التسميات
التسميات تظهر بجانب كل مستوى دعم (Support) ومقاومة (Resistance) وتبدأ بحرف "S" للدعم أو "R" للمقاومة، تليها مجموعة من الأرقام والقيم التي يمكن تفعيلها أو تعطيلها حسب إعدادات المستخدم. إليك تفصيل كل عنصر:
1- عدد اللمسات (Touch Count)
الرمز: يظهر مباشرة بعد "S" أو "R" (مثال: "R: 5" أو "S: 3").
المعنى: يشير إلى عدد المرات التي اختبر فيها السعر هذا المستوى دون اختراقه.
الفائدة: كلما زاد عدد اللمسات، كلما كان المستوى أقوى وأكثر أهمية. على سبيل المثال، إذا كان "R: 5"، فهذا يعني أن السعر ارتد من هذا المستوى 5 مرات، مما يجعله مقاومة قوية محتملة.
2- قوة المستوى (Strength Rating)
الرمز: يظهر بين قوسين مربعين (مثال: " ").
المعنى: قيمة من 0 إلى 100 تعكس قوة المستوى بناءً على عوامل مثل حجم التداول، عدد اللمسات، وقرب السعر الحالي من المستوى.
الفائدة: القيم العالية (مثل 75 أو أكثر) تشير إلى مستوى قوي يصعب اختراقه، بينما القيم المنخفضة (مثل 30 أو أقل) تدل على ضعف المستوى وسهولة اختراقه. يمكن للمتداول استخدام هذا لتحديد المستويات الأكثر موثوقية.
3- احتمالية الاختراق (Breakout Probability)
الرمز: يبدأ بحرف "B" متبوعًا بنسبة مئوية (مثال: "B: 60%").
المعنى: نسبة من 0% إلى 100% تُظهر احتمالية اختراق السعر للمستوى بناءً على الزخم الحالي، قوة المستوى، والمسافة بين السعر والمستوى.
الفائدة: نسبة مرتفعة (مثل 60% أو أكثر) تعني أن السعر قد يخترق المستوى قريبًا، بينما النسب المنخفضة (مثل 20%) تشير إلى احتمال ارتداد السعر. هذا مفيد لتوقع الحركة التالية.
4- قيمة السيولة (Liquidity Value)
الرمز: يبدأ بحرف "L" متبوعًا برقم (مثال: "L: 1200").
المعنى: يمثل متوسط حجم التداول في النطاق القريب من المستوى، مما يعكس السيولة التاريخية حوله.
الفائدة: القيم العالية تدل على وجود سيولة كبيرة، مما يعني أن السعر قد يتفاعل بقوة مع هذا المستوى (إما بالارتداد أو الاختراق). القيم المنخفضة تشير إلى سيولة ضعيفة، مما قد يجعل المستوى أقل تأثيرًا.
5- الأهداف السعرية (Price Targets)
الرمز: يبدأ بـ "BT" (هدف الاختراق) و"RT" (هدف الارتداد) متبوعين بأرقام (مثال: "BT: 150.50 RT: 148.20").
المعنى:
BT (Breakout Target): السعر المحتمل الذي قد يصل إليه السعر بعد اختراق المستوى.
RT (Reversal Target): السعر المحتمل الذي قد يصل إليه السعر إذا ارتد من المستوى.
الفائدة: تساعد المتداولين في تحديد نقاط الخروج المحتملة بعد الاختراق أو الارتداد، مما يسهل وضع خطة تداول دقيقة.
أمثلة عملية
تسمية مقاومة: "R: 4 B: 25% L: 1500 BT: 155.00 RT: 152.00"
المستوى اختُبر 4 مرات، قوته 80 (قوي جدًا)، احتمالية الاختراق 25% (منخفضة، أي احتمال ارتداد أعلى)، السيولة 1500 (مرتفعة)، هدف الاختراق 155.00، هدف الارتداد 152.00.
الاستنتاج: المستوى قوي ومن المرجح أن يرتد السعر منه، لكن إذا اخترق، فقد يصل إلى 155.00.
تسمية دعم: "S: 2 B: 70% L: 800 BT: 145.00 RT: 147.50"
المستوى اختُبر مرتين، قوته 40 (متوسطة إلى ضعيفة)، احتمالية الاختراق 70% (مرتفعة)، السيولة 800 (متوسطة)، هدف الاختراق 145.00، هدف الارتداد 147.50.
الاستنتاج: المستوى ضعيف ومن المحتمل أن يخترقه السعر ليهبط إلى 145.00.
كيفية الاستفادة من التسميات
تحديد القوة والضعف: استخدم قوة المستوى (Strength) لمعرفة ما إذا كان المستوى موثوقًا للارتداد أو عرضة للاختراق.
توقع الحركة: انظر إلى احتمالية الاختراق (Breakout Probability) لتحديد ما إذا كنت ستنتظر اختراقًا أو ترتدًا.
إدارة المخاطر: استخدم الأهداف السعرية (BT وRT) لتحديد نقاط جني الأرباح أو وقف الخسارة.
تقييم السيولة: ركز على المستويات ذات السيولة العالية لأنها غالبًا تكون نقاط تحول رئيسية في السوق.
تأكيد التحليل: ادمج عدد اللمسات مع القوة والسيولة للحصول على صورة كاملة عن أهمية المستوى.
تخصيص التسميات
يمكن للمستخدم تفعيل أو تعطيل أي من هذه القيم (القوة، الاحتمالية، السيولة، الأهداف) من إعدادات المؤشر.
يمكن أيضًا تغيير حجم التسميات (صغير، عادي، كبير)، موقعها (يمين، يسار، أعلى، أسفل)، ولون النص لتناسب احتياجاتك.
التسميات في هذا المؤشر هي بمثابة لوحة تحكم صغيرة بجانب كل مستوى دعم ومقاومة، تقدم لك معلومات فورية عن قوته، احتمالية اختراقه، سيولته، وأهدافه السعرية. بفهم هذه الأرقام، يمكنك تحسين قراراتك في التداول، سواء كنت تبحث عن نقاط دخول، خروج، أو إدارة مخاطر. إذا كنت تريد أداة تجمع بين البساطة والعمق التحليلي .
تنويه:
المؤشر هو أداة مساعدة فقط ويجب استخدامه مع التحليل الفني والأساسي لتحقيق أفضل النتائج.
إخلاء المسؤولية
لا يُقصد بالمعلومات والمنشورات أن تكون، أو تشكل، أي نصيحة مالية أو استثمارية أو تجارية أو أنواع أخرى من النصائح أو التوصيات المقدمة أو المعتمدة من TradingView.
The Smart Volume S/R Pro indicator is an advanced technical analysis tool designed to help traders identify strong support and resistance levels based on trading volume, with the addition of advanced analytical features such as trend filtering, confidence zones, strength assessment, breakout probability calculation, liquidity measurement, price target identification, and Fibonacci levels. It also provides labels next to each support and resistance level, containing accurate numbers and information that reflect the market condition. These labels are not just decorations, but analytical tools that help traders make informed decisions based on market data. This indicator aims to provide a comprehensive view of the market.
Main functions of the indicator
1- Identifying support and resistance levels based on high trading volume
The indicator analyzes previous bars (up to 300 bars by default) to identify the points that witnessed the highest levels of trading volume.
It draws horizontal lines representing resistance levels (at the highest price in those bars) and support (at the lowest price), and the user can choose the number of lines displayed (from 1 to 6).
2- Filtering the trend using the ADX indicator
The indicator uses the Average Directional Index (ADX) to assess the strength of a trend in the market.
When the strength of the trend is high (exceeding a specified threshold, 25 by default), the indicator reduces the number of support and resistance levels displayed to focus only on the most important levels.
3- Dynamic Confidence Zones
The indicator adds zones around support and resistance levels based on the Average True Range (ATR), helping traders visualize the ranges in which the price may interact with these levels.
The width of these zones can be adjusted using the ATR multiplier.
4- Assessing the Strength of Levels
The indicator calculates the strength of each level based on trading volume, the number of times the level has been tested (Touch Count), and the proximity of the current price to the level.
A strength score (from 0 to 100) is displayed next to each level if this feature is enabled.
5- Breakout Probability
The indicator estimates the probability of breaking each level based on momentum (ROC), the strength of the level, and the distance between the current price and the level.
The probability is displayed as a percentage if the option is enabled, helping traders anticipate potential moves.
6- Historical Liquidity Analysis
The indicator measures liquidity around each level based on the trading volume in the ranges near it.
The liquidity values can be displayed in the labels or used to adjust the width of the lines (the most liquid lines appear wider).
7- Price Targets
When this feature is enabled, the indicator calculates price targets for breakout and reversal based on momentum, level strength and ATR.
These targets can be displayed as text in the labels or as horizontal lines on the chart.
8- Fibonacci Levels
The indicator plots Fibonacci levels (0.0, 0.236, 0.382, 0.5, 0.618, 0.786, 1.0) based on the highest and lowest price in the lookback period.
The user can choose which of these levels to display or hide.
9- Comprehensive Breakout Alert
The indicator provides a single alert that includes all levels, where the alert is triggered when the price breaks any support or resistance level with a message explaining the type of breakout and the level broken.
How the indicator works
Step 1: The indicator identifies the bars with high volume during the specified Lookback Period.
Step 2: Draws support and resistance levels based on the highest and lowest prices in those bars, taking into account the number of lines selected by the user.
Step 3: Apply the trend filter (if enabled) to reduce the number of levels in case of a strong trend.
Step 4: Adds additional analyses such as strength, liquidity, breakout probability, and price targets, and draws confidence zones and Fibonacci levels according to the settings.
Step 5: Monitors the price and triggers an alert when the breakout occurs.
Customizable Settings
1- Lookback Period: Number of bars to analyze (default 300).
2- Number of Lines: From 1 to 6 support and resistance levels.
3- Colors and Styles: Line colors and styles can be changed (filled, dashed, dotted).
4- Labels: Enable/disable labels, their size, location, and text color.
5- Trend Filter: Enable/disable ADX, and modify its length and threshold.
6- Confidence Zones: Enable/disable, and modify the ATR length and multiplier.
7- Strength and Breakout Probability: Enable/disable the display, and modify the ROC length.
8- Liquidity: Enable/disable the effect of liquidity on the display of the lines and their values in the labels.
9- Price Targets: Enable/disable the targets and display them as lines.
10- Fibonacci: Choose the displayed levels and the color of the lines.
Indicator Benefits
High Accuracy: It relies on trading volume to determine the levels, which makes it more reliable than random levels.
Flexibility: It provides extensive customization options that allow traders to adapt it to their strategies.
Comprehensive Analysis: Combines support and resistance, trend, liquidity, and targets in one tool. Ease of Use: Labels and alerts make it easy to follow the market without complexity.
Labels next to each support and resistance level contain accurate numbers and information that reflect the market situation. These labels are not just decorations, but analytical tools that help traders make informed decisions based on market data. In this explanation, we will review each number or value that appears in the labels and their practical meaning.
Label Components
Labels appear next to each support and resistance level and begin with the letter "S" for support or "R" for resistance, followed by a set of numbers and values that can be enabled or disabled according to the user's settings. Here is a breakdown of each element:
1- Touch Count
Symbol: Appears immediately after "S" or "R" (example: "R: 5" or "S: 3").
Meaning: Indicates the number of times the price has tested this level without breaking it.
Benefit: The more touches, the stronger and more important the level. For example, if it is "R: 5", it means that the price has bounced off this level 5 times, making it a potentially strong resistance.
2- Strength Rating
Symbol: Appears between square brackets (example: " ").
Meaning: A value from 0 to 100 that reflects the strength of the level based on factors such as trading volume, number of touches, and proximity of the current price to the level.
Benefit: High values (such as 75 or more) indicate a strong level that is difficult to break, while low values (such as 30 or less) indicate a weak level that is easy to break. A trader can use this to determine the most reliable levels.
3- Breakout Probability
Symbol: Starts with the letter "B" followed by a percentage (example: "B: 60%").
Meaning: A percentage from 0% to 100% that shows the probability of the price breaking the level based on the current momentum, the strength of the level, and the distance between the price and the level.
Interest: A high percentage (such as 60% or more) means that the price may soon break through the level, while low percentages (such as 20%) indicate that the price may bounce. This is useful for anticipating the next move.
4- Liquidity Value
Symbol: Starts with the letter "L" followed by a number (example: "L: 1200").
Meaning: Represents the average trading volume in the range near the level, reflecting historical liquidity around it.
Interest: High values indicate high liquidity, meaning that the price may react strongly to this level (either by bouncing or breaking through). Low values indicate low liquidity, which may make the level less influential.
5- Price Targets
Symbol: Starts with "BT" (breakout target) and "RT" (rebound target) followed by numbers (example: "BT: 150.50 RT: 148.20").
Meaning:
BT (Breakout Target): The potential price that the price may reach after breaking the level.
RT (Reversal Target): The potential price that the price may reach if it rebounds from the level.
Utility: Helps traders identify potential exit points after a breakout or rebound, making it easier to develop an accurate trading plan.
Working examples
Resistance label: "R: 4 B: 25% L: 1500 BT: 155.00 RT: 152.00"
Level tested 4 times, strength 80 (very strong), probability of breakout 25% (low, i.e. higher probability of rebound), liquidity 1500 (high), breakout target 155.00, rebound target 152.00.
Conclusion: The level is strong and the price is likely to rebound from it, but if it breaks, it may reach 155.00.
Support Label: "S: 2 B: 70% L: 800 BT: 145.00 RT: 147.50"
Level tested twice, Strength 40 (medium to weak), Breakout Probability 70% (high), Liquidity 800 (medium), Breakout Target 145.00, Rebound Target 147.50.
Conclusion: The level is weak and the price is likely to break it to drop to 145.00.
How to use labels
Determine strength and weakness: Use the level's strength to see if the level is reliable for a bounce or vulnerable to a breakout.
Predict the move: Look at the Breakout Probability to determine whether to wait for a breakout or a bounce.
Risk Management: Use price targets (BT and RT) to set take profit or stop loss points.
Liquidity Evaluation: Focus on levels with high liquidity as they are often key turning points in the market.
Analysis Confirmation: Combine the number of touches with strength and liquidity to get a complete picture of the level’s importance.
Customize Labels
The user can enable or disable any of these values (strength, probability, liquidity, targets) from the indicator settings.
The size of the labels (small, normal, large), their position (right, left, top, bottom), and the color of the text can also be changed to suit your needs.
The labels in this indicator act as a small dashboard next to each support and resistance level, providing you with instant information about its strength, probability of breakout, liquidity, and price targets. By understanding these numbers, you can improve your trading decisions, whether you are looking for entry points, exit points, or risk management. If you want a tool that combines simplicity with analytical depth.
Disclaimer:
The indicator is an auxiliary tool only and should be used in conjunction with technical and fundamental analysis for best results.
Disclaimer
The information and posts are not intended to be, or constitute, any financial, investment, trading or other types of advice or recommendations provided or endorsed by TradingView.
CandelaCharts - Buyside & Sellside 📝 Overview
The Buyside & Sellside Liquidity Indicator is designed to identify and emphasize one of the foundational concepts within the ICT (Inner Circle Trader) trading methodology: liquidity levels.
This tool focuses on pinpointing key areas in the market where buy-side and sell-side liquidity is concentrated, providing traders with insights into potential price targets, reversal zones, and institutional order flow behavior.
By highlighting these liquidity zones, the indicator serves as a strategic aid in understanding market dynamics and enhancing decision-making in alignment with ICT principles.
📦 Features
Buyside & Sellside Liquidity
Invalidated Liquidity
Threshold
Styling
⚙️ Settings
Liquidity: Controls visibility of Bullish/Bearish Liquidity levels.
Invalidated: Displays the invalidated liquidity levels.
Levels: Controls the number of Liquidity levels that will be displayed.
Line Style: Customize the line style and width.
Threshold: Filter by swing points the Liquidity levels.
Labels: Control the Labels visibility.
⚡️ Showcase
Buyside & Sellside
Invalidated
🚨 Alerts
This script offers alert options for all signal types.
Bearish Signal
A bearish signal is generated when the price reaches a Buyside Liquidity level.
Bullish Signal
A bullish signal is generated when the price reaches a Sellside Liquidity level.
⚠️ Disclaimer
Trading involves significant risk, and many participants may incur losses. The content on this site is not intended as financial advice and should not be interpreted as such. Decisions to buy, sell, hold, or trade securities, commodities, or other financial instruments carry inherent risks and are best made with guidance from qualified financial professionals. Past performance is not indicative of future results.
RSI Analysis with Statistical Summary Scientific Analysis of the Script "RSI Analysis with Statistical Summary"
Introduction
I observed that there are outliers in the price movement liquidity, and I wanted to understand the RSI value at those points and whether there are any notable patterns. I aimed to analyze this statistically, and this script is the result.
Explanation of Key Terms
1. Outliers in Price Movement Liquidity: An outlier is a data point that significantly deviates from other values. In this context, an outlier refers to an unusually high or low liquidity of price movement, which is the ratio of trading volume to the price difference between the open and close prices. These outliers can signal important market changes or unusual trading activities.
2. RSI (Relative Strength Index): The RSI is a technical indicator that measures the speed and change of price movements. It ranges from 0 to 100 and helps identify overbought or oversold conditions of a trading instrument. An RSI value above 70 indicates an overbought condition, while a value below 30 suggests an oversold condition.
3. Mean: The mean is a measure of the average of a dataset. It is calculated by dividing the sum of all values by the number of values. In this script, the mean of the RSI values is calculated to provide a central tendency of the RSI distribution.
4. Standard Deviation (stdev): The standard deviation is a measure of the dispersion or variation of a dataset. It shows how much the values deviate from the mean. A high standard deviation indicates that the values are widely spread, while a low standard deviation indicates that the values are close to the mean.
5. 68% Confidence Interval: A confidence interval indicates the range within which a certain percentage of values of a dataset lies. The 68% confidence interval corresponds to a range of plus/minus one standard deviation around the mean. It indicates that about 68% of the data points lie within this range, providing insight into the distribution of values.
Overview
This Pine Script™, written in Pine version 5, is designed to analyze the Relative Strength Index (RSI) of a stock or other trading instrument and create statistical summaries of the distribution of RSI values. The script identifies outliers in price movement liquidity and uses this information to calculate the frequency of RSI values. At the end, it displays a statistical summary in the form of a table.
Structure and Functionality of the Script
1. Input Parameters
- `rsi_len`: An integer input parameter that defines the length of the RSI (default: 14).
- `outlierThreshold`: An integer input parameter that defines the length of the outlier threshold (default: 10).
2. Calculating Price Movement Liquidity
- `priceMovementLiquidity`: The volume is divided by the absolute difference between the close and open prices to calculate the liquidity of the price movement.
3. Determining the Boundary for Liquidity and Identifying Outliers
- `liquidityBoundary`: The boundary is calculated using the Exponential Moving Average (EMA) of the price movement liquidity and its standard deviation.
- `outlier`: A boolean value that indicates whether the price movement liquidity exceeds the set boundary.
4. Calculating the RSI
- `rsi`: The RSI is calculated with a period length of 14, using various moving averages (e.g., SMA, EMA) depending on the settings.
5. Storing and Limiting RSI Values
- An array `rsiFrequency` stores the frequency of RSI values from 0 to 100.
- The function `f_limit_rsi` limits the RSI values between 0 and 100.
6. Updating RSI Frequency on Outlier Occurrence
- On an outlier occurrence, the limited and rounded RSI value is updated in the `rsiFrequency` array.
7. Statistical Summary
- Various variables (`mostFrequentRsi`, `leastFrequentRsi`, `maxCount`, `minCount`, `sum`, `sumSq`, `count`, `upper_interval`, `lower_interval`) are initialized to perform statistical analysis.
- At the last bar (`bar_index == last_bar_index`), a loop is run to determine the most and least frequent RSI values and their frequencies. Sum and sum of squares of RSI values are also updated for calculating mean and standard deviation.
- The mean (`mean`) and standard deviation (`stddev`) are calculated. Additionally, a 68% confidence interval is determined.
8. Creating a Table for Result Display
- A table `resultsTable` is created and filled with the results of the statistical analysis. The table includes the most and least frequent RSI values, the standard deviation, and the 68% confidence interval.
9. Graphical Representation
- The script draws horizontal lines and fills to indicate overbought and oversold regions of the RSI.
Interpretation of the Results
The script provides a detailed analysis of RSI values based on specific liquidity outliers. By calculating the most and least frequent RSI values, standard deviation, and confidence interval, it offers a comprehensive statistical summary that can help traders identify patterns and anomalies in the RSI. This can be particularly useful for identifying overbought or oversold conditions of a trading instrument and making informed trading decisions.
Critical Evaluation
1. Robustness of Outlier Identification: The method of identifying outliers is solely based on the liquidity of price movement. It would be interesting to examine whether other methods or additional criteria for outlier identification would lead to similar or improved results.
2. Flexibility of RSI Settings: The ability to select various moving averages and period lengths for the RSI enhances the adaptability of the script, allowing users to tailor it to their specific trading strategies.
3. Visualization of Results: While the tabular representation is useful, additional graphical visualizations, such as histograms of RSI distribution, could further facilitate the interpretation of the results.
In conclusion, this script provides a solid foundation for analyzing RSI values by considering liquidity outliers and enables detailed statistical evaluation that can be beneficial for various trading strategies.
ICT Macros [LuxAlgo]The ICT Macros indicator aims to highlight & classify ICT Macros, which are time intervals where algorithmic trading takes place to interact with existing liquidity or to create new liquidity.
🔶 SETTINGS
🔹 Macros
Macro Time options (such as '09:50 AM 10:10'): Enable specific macro display.
Top Line , Mid Line , Bottom Line and Extending Lines options: Controls the lines for the specific macro.
🔹 Macro Classification
Length : A length to detect Market Structure Brakes and classify macro type based on detection.
Swing Area : Swing or Liquidity Area selection, highest/lowest of the wick or the candle bodies.
Accumulation , Manipulation and Expansion color options for the classified macros.
🔹 Others
Macro Texts : Controls both the size and the visibility of the macro text.
Alert Macro Times in Advance (Minutes) : This option will plot a vertical line presenting the start of the next macro time. The line will not appear all the time, but it will be there based on remaining minutes specified in the option.
Daylight Saving Time (DST) : Adjust time appropriate to Daylight Saving Time of the specific region.
🔶 USAGE
A macro is a way to automate a task or procedure which you perform on a regular basis.
In the context of ICT's teachings, a macro is a small program or set of instructions that unfolds within an algorithm, which influences price movements in the market. These macros operate at specific times and can be related to price runs from one level to another or certain market behaviors during specific time intervals. They help traders anticipate market movements and potential setups during specific time intervals.
To trade these effectively, it is important to understand the time of day when certain macros come into play, and it is strongly advised to introduce the concept of liquidity in your analysis.
Macros can be classified into three categories where the Macro classification is calculated based on the Market Structure prior to macro and the Market Structure during the macro duration:
Manipulation Macro
Manipulation macros are characterized by liquidity being swept both on the buyside and sellside.
Expansion Macro
Expansion macros are characterized by liquidity being swept only on the buyside or sellside. Prices within these macros are highly correlated with the overall trend.
Accumulation Macro
Accumulation macros are characterized by an accumulation of liquidity. Prices within these macros tend to range.
The script returns the maximum/minimum price values reached during the macro interval alongside the average between the maximum/minimum and extends them until a new macro starts. These levels can act as supports and resistances.
🔶 DETAILS
All required data for the macro detection and classification is retrieved using 1 minute data sets, this includes candles as well as pivot/swing highs and lows. This approach guarantees the visually presented objects are same (same highs/lows) on higher timeframes as well as the macro classification remain same as it is in 1 min charts.
8 Macros can be displayed by the script (4 are enabled by default):
02:33 AM 03:00 London Macro
04:03 AM 04:30 London Macro
08:50 AM 09:10 New York Macro
09:50 AM 10:10 New York Macro
10:50 AM 11:10 New York Macro
11:50 AM 12:10 New York Launch Macro
13:10 PM 13:40 New York Macro
15:15 PM 15:45 New York Macro
🔶 ALERTS
When an alert is configured, the user will have the ability to be notified in advance of the next Macro time, where the value specified in 'Alert Macro Times in Advance (Minutes)' option indicates how early to be notified.
🔶 LIMITATIONS
The script is supported on 1 min, 3 mins and 5 mins charts.
🔶 RELATED SCRIPTS
Volume Cluster Heatmap [BackQuant]Volume Cluster Heatmap
A visualization tool that maps traded volume across price levels over a chosen lookback period. It highlights where the market builds balance through heavy participation and where it moves efficiently through low-volume zones. By combining a heatmap, volume profile, and high/low volume node detection, this indicator reveals structural areas of support, resistance, and liquidity that drive price behavior.
What Are Volume Clusters?
A volume cluster is a horizontal aggregation of traded volume at specific price levels, showing where market participants concentrated their buying and selling.
High Volume Nodes (HVN) : Price levels with significant trading activity; often act as support or resistance.
Low Volume Nodes (LVN) : Price levels with little trading activity; price moves quickly through these areas, reflecting low liquidity.
Volume clusters help identify key structural zones, reveal potential reversals, and gauge market efficiency by highlighting where the market is balanced versus areas of thin liquidity.
By creating heatmaps, profiles, and highlighting high and low volume nodes (HVNs and LVNs), it allows traders to see where the market builds balance and where it moves efficiently through thin liquidity zones.
Example: Bitcoin breaking away from the high-volume zone near 118k and moving cleanly through the low-volume pocket around 113k–115k, illustrating how markets seek efficiency:
Core Features
Visual Analysis Components:
Heatmap Display : Displays volume intensity as colored boxes, lines, or a combination for a dynamic view of market participation.
Volume Profile Overlay : Shows cumulative volume per price level along the right-hand side of the chart.
HVN & LVN Labels : Marks high and low volume nodes with color-coded lines and labels.
Customizable Colors & Transparency : Adjust high and low volume colors and minimum transparency for clear differentiation.
Session Reset & Timeframe Control : Dynamically resets clusters at the start of new sessions or chosen timeframes (intraday, daily, weekly).
Alerts
HVN / LVN Alerts : Notify when price reaches a significant high or low volume node.
High Volume Zone Alerts : Trigger when price enters the top X% of cumulative volume, signaling key areas of market interest.
How It Works
Each bar’s volume is distributed proportionally across the horizontal price levels it touches. Over the lookback period, this builds a cumulative volume profile, identifying price levels with the most and least trading activity. The highest cumulative volume levels become HVNs, while the lowest are LVNs. A side volume profile shows aggregated volume per level, and a heatmap overlay visually reinforces market structure.
Applications for Traders
Identify strong support and resistance at HVNs.
Detect areas of low liquidity where price may move quickly (LVNs).
Determine market balance zones where price may consolidate.
Filter noise: because volume clusters aggregate activity into levels, minor fluctuations and irrelevant micro-moves are removed, simplifying analysis and improving strategy development.
Combine with other indicators such as VWAP, Supertrend, or CVD for higher-probability entries and exits.
Use volume clusters to anticipate price reactions to breaking points in thin liquidity zones.
Advanced Display Options
Heatmap Styles : Boxes, lines, or both. Boxes provide a traditional heatmap, lines are better for high granularity data.
Line Mode Example : Simplified line visualization for easier reading at high level counts:
Profile Width & Offset : Adjust spacing and placement of the volume profile for clarity alongside price.
Transparency Control : Lower transparency for more opaque visualization of high-volume zones.
Best Practices for Usage
Reduce the number of levels when using line mode to avoid clutter.
Use HVN and LVN markers in conjunction with volume profiles to plan entries and exits.
Apply session resets to monitor intraday vs. multi-day volume accumulation.
Combine with other technical indicators to confirm high-probability trading signals.
Watch price interactions with LVNs for potential rapid movements and with HVNs for possible support/resistance or reversals.
Technical Notes
Each bar contributes volume proportionally to the price levels it spans, creating a dynamic and accurate representation of traded interest.
Volume profiles are scaled and offset for visual clarity alongside live price.
Alerts are fully integrated for HVN/LVN interaction and high-volume zone entries.
Optimized to handle large lookback windows and numerous price levels efficiently without performance degradation.
This indicator is ideal for understanding market structure, detecting key liquidity areas, and filtering out noise to model price more accurately in high-frequency or algorithmic strategies.
Opening Range Gaps [TakingProphets]What is an Opening Range Gap (ORG)?
In ICT, the Opening Range Gap is defined as the price difference between the previous session’s close (e.g., 4:00 PM EST in U.S. indices) and the current day’s open (9:30 AM EST).
That gap is a liquidity void—an area where no trading occurred during regular hours.
Why ICT Traders Care About ORG
Liquidity Void (Gap Fill Logic)
-Because the gap is an untraded area, it naturally acts as a draw on liquidity.
-Price often seeks to rebalance by retracing into or fully filling this void.
Premium/Discount Sensitivity
-Once the ORG is defined, ICT treats it as a mini dealing range.
-Above EQ (Consequent Encroachment) = algorithmic premium (sell-sensitive).
-Below EQ = algorithmic discount (buy-sensitive).
-Price reaction at these levels gives a precise read on institutional intent intraday.
Support/Resistance from ORG
-If the session opens above prior close, the gap often acts as support until violated.
-If the session opens below prior close, the gap often acts as resistance until reclaimed.
Key ICT Concepts Anchored to ORG
Consequent Encroachment (CE): The midpoint of the gap. The algo is highly sensitive to CE as a decision point: reject → continuation; reclaim → reversal.
Draw on Liquidity (DoL): Price is algorithmically “pulled” toward gap fills, CE, or the opposite side of the ORG.
Order Flow Confirmation: If price ignores the gap and runs away from it, this signals strong institutional order flow in that direction.
Confluence with Other Tools: FVGs, OBs, and HTF PD arrays often overlap with ORG levels, strengthening setups.
Practical Application for Traders
Bias Formation:
Use ORG EQ as a line in the sand for intraday bias.
If price trades below ORG EQ after the open → look for short setups into the prior day’s low or external liquidity.
If price trades above ORG EQ → favor longs into highs/liquidity pools.
Execution Framework:
Wait for liquidity raids or market structure shifts at ORG edges (.00, .25, .50, .75).
Target: EQ, opposite quarter, or full gap fill.
Precision Reads:
ORG lines let traders anticipate where algorithms are likely to respond, providing mechanical invalidation and clear targets without clutter.
