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Amazing Crossover SystemEntry Rules
BUY when the 5 EMA crosses above the 10 EMA from underneath and the RSI crosses above the 50.0 mark from the bottom.
SELL when the 5 EMA crosses below the 10 EMA from the top and the RSI crosses below the 50.0 mark from the top.
Make sure that the RSI did cross 50.0 from the top or bottom and not just ranging tightly around the level.
How to setup Alert:
1) Add the Amazing Crossover System to your chart via Indicators
2) Find your currency pair
3) Set the timeframe on the chart to 1 hour
4) Press 'Alt + A' (create alert shortcut)
5) Set the following criteria for the alert:
Condition = 'Amazing Crossover System', Plot, ' BUY Signal'
The rest of the alert can be customized to your preferences
5) Repeat steps 1 - 4, but set the Condition = 'Amazing Crossover System', Plot, ' SELL Signal'
Opening Power Bar Strategy (Trade Your Edge)💎 GENERAL OVERVIEW:
The Opening Power Bar Strategy indicator identifies high-momentum “Power Bars” during the first 60 minutes of the New York session and generates Long/Short signals using levels from the pre-market session. The indicator plots Stop-Loss and three Take-Profit levels, manages dynamic trailing stop-loss logic (optional), displays pre-market levels, and supports alerts.
This indicator was developed by Flux Charts in collaboration with Steven Adams (Trade Your Edge).
🔹What is the purpose of the Opening Power Bar Strategy?:
The purpose of the Opening Power Bar Strategy is to trade the most active and meaningful part of the trading day, the opening move. It’s designed to take advantage of the volume and volatility that happens right after the market opens, when traders react to overnight news and pre-market movement. The indicator helps identify when that early move has real strength by looking for a large, decisive candle (a Power Bar) forming around key pre-market levels. Once it detects one, it builds a full trade plan automatically with entry, stop-loss, and take-profits.
🔹Why are signals only during the first 60 minutes?:
Most of the day’s total trading volume happens within the first 60 minutes after the market opens. This period usually sets the high or low of the day and defines the bias: whether the market will trend or stay in a range. After this first hour, volume and volatility typically decrease, and price movement becomes less consistent.
🔹What’s the theory behind the Opening Power Bar Strategy?:
The Opening Power Bar Strategy is built on a simple principle: the first hour after the market open sets the tone for the rest of the day. This period consistently shows the highest trading volume, as traders react to overnight news, economic data releases, pre-market movements, etc.
These early reactions often establish the day’s high/low, revealing where buyers or sellers are strongest. When a large, decisive candle (a Power Bar) forms during this time near the pre-market high or low, it confirms that one side is taking control. The pre-market high and low define the range that institutions and short-term traders had already reacted to before the market open. Thus, when a Power Bar forms near one of these levels during the first hour, it often marks the start of a breakout or rejection that shapes the rest of the session.
🎯 OPENING POWER BAR STRATEGY FEATURES:
The Opening Power Bar Strategy indicator includes 5 main features:
Power Bars
Pre-Market High / Low / Mid Levels
Long / Short Signals + Risk Management
Simple Moving Average (SMA)
Alerts
1️⃣ Power Bars:
🔹What are Power Bars?:
Power Bars are large, high-momentum candles that show strength in one direction of the market. They form when a candle’s body (the distance between open and close) dominates most of the candle’s total range (the distance between high and low), meaning price moved strongly in one direction with little to no pullback. To qualify, the candle must also be large relative to nearby candles. This size difference confirms that the candle is a true burst of momentum. In short, Power Bars reveal where real strength has just entered the market and where momentum is most likely to continue.
🔹How to interpret and use Power Bars:
When a Power Bar forms, it signals that price just made a strong directional move with little to no pullback. Traders can use these bars to identify momentum shifts and potential trade setups during the opening session.
A bullish Power Bar means buyers controlled the entire candle, often marking the start of upward momentum. A bearish Power Bar means sellers were in control the entire candle, often signaling the start of downwards momentum. In the Opening Power Bar Strategy, these candles are only used for signals when they appear within the pre-market high and low range. Their location relative to the pre-market midline determines direction bias:
Bullish Power Bars forming near the pre-market low can signal potential long opportunities.
Bearish Power Bars forming near the pre-market high can signal potential short opportunities.
🔹How are Power Bars identified?:
Power Bars are detected and confirmed only after the candle closes, ensuring that the full candlestick body and range can be measured. The indicator does not repaint or change past bars. Once a Power Bar is confirmed, it stays fixed on the chart. Power Bars can be detected on any timeframe or symbol that produces standard candlestick data. However, since the Opening Power Bar Strategy focuses on the first 60 minutes of the trading session, they’re most meaningful on lower intraday timeframes such as 1-minute to 5-minute charts.
The indicator identifies Power Bars using two user-defined inputs: Sensitivity and Body %.
🔹Sensitivity:
The Sensitivity setting determines how large a candle’s body must be relative to nearby candles. It uses the Average True Range (ATR) to compare the current candle’s size with recent candles, and the Sensitivity value acts as a multiplier of that ATR. A higher Sensitivity value means the candle must be much larger than recent candles to qualify, so fewer Power Bars will form. A lower value makes the filter less strict, allowing more candles to qualify.
🔹Body %:
The Body % setting controls what percentage of the candle’s total range must be body rather than Wick. A higher value requires the body to take up more of the candle’s total range, so fewer candles pass the filter. A lower value allows candles with more wick to qualify, so more Power Bars will form.
Body % Example:
If Body % is set to 50, the candle body must cover at least half of the candle’s total range. For example, if a candle’s high is $11, its low is $10, its open is $10.20, and its close is $10.80, then the total range is $1 ($11 - $10) and the body is $0.60 ($10.80 - $10.20). Body % = (Body / Total Range) * 100 = (0.60 ÷ 1.00 × 100) = 60%. Since 60% is greater than the input of 50%, this candle passes the Body % criteria.
Once a candlestick closes and it meets both the Sensitivity and Body % requirements, it will be plotted in a different color, using barcolor() function. Users can adjust the bullish/bearish colors of Power Bars by adjusting the ‘Candle Coloring’ setting. The Power Bar candle coloring is purely visual and does not affect signal logic or strategy calculations.
🔹Do Power Bars form outside the first 60 minutes?:
Power Bars can technically form at any time of day, but the Opening Power Bar Strategy only uses those formed between 9:30 AM and 10:30 AM ET for trade signals.
2️⃣ Pre-Market Levels
The indicator tracks pre-market price action from 4:10 AM EST until 9:29 AM EST to determine the session’s High and Low. When pre-market ends, both levels are drawn and continuously projected to the right throughout the regular session. A midline is calculated as the midpoint between those levels and is used to determine bullish or bearish bias at the open. This midline is calculated in the indicator’s background and not visually plotted.
Long signals require price to be positioned below the midline before breaking upward, and Short signals require price to be positioned above the midline before breaking downward.
Users can enable retest labels, which appear if price touches the pre-market low, and closes above it, or if price touches the pre-market high, and closes below it. Users can also enable/disable the pre-market levels. If disabled, the pre-market high and pre-market low levels will not be displayed.
3️⃣Long/Short Signals:
Long and Short signals only trigger during the first hour of the New York trading session, between 9:30 AM and 10:30 AM EST. These signals form between the Pre-Market Low (PML) and Pre-Market High (PMH).
▫️ A Long entry requires:
1) A bullish power bar forms
1.a) The candle’s low is < the 50% area or Midpoint of the PML/PMH range
1.b) The candle closes above the PML, but below the PMH
2) If this candle occurs between 09:30 AM and 10:30 AM, a long signal will appear.
▫️ A Short Entry requires:
1) A bearish power bar forms
1a) The candle’s high is > the 50% area or Midpoint of the PML/PMH range
1b) The candle closes below the PMH, but above the PML
2) If this candle occurs between 09:30 AM and 10:30 AM, a short signal will appear.
Only one trade can be active at a time. Users can enable or disable Long Signals and Short Signals independently. Entry markers appear directly on the chart at confirmation.
When a signal is plotted on the Power Bar’s candle close, the indicator automatically builds a rule-based trade structure and plots the following information:
Stop-Loss (SL)
Take-Profit 1 (TP 1)
Take-Profit 2 (TP 2)
Take-Profit 3 (TP 3)
For Long signals, the SL is placed at the low of the bullish Power Bar and TP 1 is placed at the PMH. The distances for TP 2 and TP 3 are then measured using the move from the entry price to TP 1. That same distance is added once above TP 1 to set TP 2, and added again above TP 2 to set TP 3.
For Short signals, the SL is placed at the high of the bearish Power Bar, and TP 1 is placed at the PML. The distances for TP 2 and TP 3 are then measured using the absolute value of the move from the entry price to TP 1. That same distance is subtracted once below TP 1 to set TP 2, and subtracted again below TP 2 to set TP 3.
🔹Trailing Stop-Loss Feature:
When the Trailing Stop-Loss setting is enabled, the Stop-Loss (SL) automatically adjusts as price reaches take-profit levels. This feature helps secure profits while keeping the trade logic completely rule-based and non-discretionary.
Here’s exactly how it works step-by-step:
▫️ Initial Stop-Loss placement:
For a Long trade, the initial SL is set at the low of the Power Bar that triggered the entry.
For a Short trade, the initial SL is set at the high of the Power Bar that triggered the entry.
This level stays fixed until one of the Take-Profit targets is reached.
▫️ After TP 1 is hit:
The SL automatically moves to the entry price (breakeven).
This eliminates all downside risk on the trade.
▫️ After TP2 is hit:
The SL automatically moves to TP 1
This locks in a partial profit while allowing the trade to continue toward TP 3.
▫️ Final exit condition:
The trade is considered complete once either the trailing Stop-Loss or TP 3 is reached.
4️⃣Simple Moving Average (SMA)
In addition to the core trade logic, the indicator includes an optional Simple Moving Average (SMA) that provides extra confirmation and context for interpreting Power Bar signals. The SMA is not related to any of the signal generation logic. It does not influence when or where Power Bars or trade signals appear. Instead, it serves as a contextual confirmation tool and should be used as an additional way to interpret the strength and quality of a setup once a signal is triggered.
There are a few ways the SMA can be used for extra context with the Opening Power Bar Strategy:
▫️ #1 Directional Confirmation:
The SMA is mainly used as a confirmation tool for countertrend Power Bar setups. It helps traders identify when a strong reversal may be developing against the prior trend.
When the SMA is sloping downward but a bullish Power Bar closes above it, that can signal a potential shift from bearish to bullish momentum.
When the SMA is sloping upward but a bearish Power Bar closes below it, that can indicate a possible transition from bullish to bearish conditions.
▫️ #2 Timing Entries
When a large Power Bar prints a signal far away from the SMA, it often indicates that price has moved quickly and temporarily extended away from its average level. In these cases, the SMA can be used as a pullback area where price may retrace before resuming its move. Waiting for this pullback can often lead to a better risk-to-reward trade setup.
For example, in the chart below, a strong bullish Power Bar formed and triggered a Long signal while closing well above the SMA. Entering immediately after the signal would have produced a 0.22 risk-to-reward to TP 1. However, waiting for price to retrace back toward the SMA before entering would have resulted in a much stronger 2.46 risk-to-reward ratio.
The SMA provides a simple way to identify areas for safer pullback entries when a Power Bar signal forms too far from its average level. This helps traders maintain consistency with their risk-to-reward targets and align entries with their trading plan.
▫️ #3 Risk/Trade Management:
During active trades, the SMA can also be used to gauge the healthiness of a trend.
If price continues to respect the SMA after entry, it supports holding the position toward later Take-Profit levels. Additionally, the SMA can highlight areas where traders may consider adding to existing positions if price respects it.
If price closes strongly back through the SMA in the opposite direction, traders may use that as an early exit or a signal that momentum has shifted.
▫️ Optional and Visual Only:
The SMA is an optional visual overlay that can be turned on or off in the indicator’s settings. It is purely there for traders who want an added layer of confirmation and structure when evaluating setups from the Opening Power Bar Strategy.
Users can customize the length of the SMA and the color within the settings.
📢 Alerts:
The indicator supports alerts, so you never miss a key market move. You can choose to receive alerts for each of the following conditions:
Long Signal
Short Signal
TP 1 (Take-Profit 1)
TP 2 (Take-Profit 2)
TP 3 (Take-Profit 3)
SL (Stop-Loss)
Pre-Market Low Retest
Pre-Market High Retest
🚩UNIQUENESS:
This indicator automates a structured opening-range strategy that traders typically manage manually each morning. It identifies valid Power Bars only when they occur inside the pre-market high/low range, confirms direction using pre-market midline context, and automatically builds risk targets using the pre-market range itself. Once a valid trigger occurs during the defined trade window, the indicator immediately generates a complete trade idea (entry/SL/TP 1-3) with built-in trailing logic and alerts.
GardFx - Fusion Pro FREE TrialFusion Pro - by GardFx
This script is a specialized session-trading system designed to capitalize on the Opening Range Breakout (ORB) by utilizing Fair Value Gaps (FVG) as entry confirmation zones. Unlike standard breakout indicators that signal immediately upon a range break, this system waits for a price retest (mitigation) of specific imbalances created during the breakout move.
Core Concept
The strategy operates on a three-step logic sequence:
Define the Range: It establishes the High and Low of the opening session (London or New York).
Identify Imbalance: Upon a breakout of this range, the script scans for the creation of a Fair Value Gap (FVG) on the 1-minute timeframe.
Confirm Entry: It waits for price to retrace into the FVG (mitigation) and looks for specific candle confirmation patterns before generating a signal.
Detailed Methodology
1. The Opening Range (ORB)
The script monitors the first 15 minutes of the session (configurable).
High Line: The highest price reached during the first 15m.
Low Line: The lowest price reached during the first 15m.
Breakout: A breakout is validated when a candle closes outside of this defined range.
2. Fair Value Gap (FVG) Detection
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Not all breakouts are valid. This script filters for momentum by requiring an FVG to form immediately following the breakout.
Bullish FVG: Defined when the Low of Candle 1 is higher than the High of Candle 3.
Bearish FVG: Defined when the High of Candle 1 is lower than the Low of Candle 3.
Note: If an FVG is not formed shortly after the breakout, the setup is considered low-probability and ignored.
3. Entry Confirmation Models Once an FVG is identified and price returns to mitigate it, the script offers three confirmation modes:
Instant (First Touch): Aggressive entry immediately when price touches the FVG box.
Reversal Close: Waits for a candle to close in the direction of the trend after touching the FVG (e.g., a green candle close after dipping into a bullish FVG).
Engulfing Candle: The most conservative filter. Requires a full engulfing candle pattern occurring within or bouncing off the FVG.
4. Advanced Filters To reduce false signals during choppy markets, two optional filters are included:
Volume Filter: Requires the breakout candle's volume to be higher than its Moving Average (multiplied by a user-defined factor).
Higher Timeframe (HTF) Trend: Checks the trend on a higher timeframe (e.g., 1H or 4H).
Logic: If the HTF Close is > HTF EMA 50, only Buy signals are permitted. If HTF Close < HTF EMA 50, only Sell signals are permitted.
5. Risk Management The script includes an automated Risk/Reward calculator.
Stop Loss (SL): Placed at the invalidation point of the FVG structure, plus an optional ATR buffer to account for volatility.
Take Profit (TP): Calculated based on a user-defined Risk:Reward ratio (e.g., 1:2) relative to the Stop Loss distance.
Dashboard A multi-timeframe dashboard is displayed to provide a "Glance View" of market bias across the Daily, 4H, 1H, and 15M timeframes, ensuring trades are aligned with macro momentum.
3 hours ago
Release Notes
🚀 GardFx - Fusion Pro V2: The Ultimate ORB & ICT Suite
Welcome to Version 2.0 of Fusion Pro. This update transforms the indicator from a simple breakout tool into a complete institutional trading system. We have integrated Multi-Timeframe (MTF) logic, Candlestick Pattern recognition, and Smart Exit management to filter out noise and catch high-probability moves.
🔥 NEW FEATURES IN V2:
1. 🧠 Smart MTF Bias & Voting System
No more guessing the trend. The script now checks Daily, 4H, 1H, and 15m timeframes.
Voting Logic: A trade is only signaled if the higher timeframes agree (e.g., 2 out of 3 votes).
Visuals: The dashboard displays the live bias for every timeframe.
2. 🎯 Advanced Entry Confirmations We have added specific trigger patterns to reduce fake-outs. You can now choose your entry style:
🦄 Unicorn Setup: ORB Level + FVG overlap.
🕯️ Candlestick Patterns: Pinbar, Engulfing, Tweezer Tops/Bottoms, and Inside Bar.
📉 FVG 50%: Wait for price to retrace to the 50% equilibrium of the gap before entering.
3. 🛡️ Entry Validation Modes Control exactly when the entry label fires:
Instant: Enters immediately upon touch.
Candle Close: Waits for the candle to close in your direction.
Break of High/Low: Places a pending order at the wick; only enters if momentum breaks that level.
Wait for MSS: Waits for a Market Structure Shift (local high/low break).
4. 💰 Dynamic Smart Exit (Secure TP)
A new Volume-Based Exit Manager detects sudden momentum shifts or volume spikes against your position.
It prints a "Secure TP" label to help you bank profits before a reversal occurs, even if the fixed TP hasn't been hit.
5. 📊 Enhanced Dashboard & Stats
Tracks Win/Loss rates separately for Asia, London, and New York sessions.
Weekly and Daily stats reset automatically.
Fully customizable size and position.
6. ⚡ Automated UK Sessions
Built-in timings for Asia, London, and New York based on UTC (London) time. No more timezone conversion headaches.
QuantCrawler ORB Break & Retest 15m - Opening Range StrategyThis indicator automates the 15-minute Opening Range Breakout and Retest strategy. It captures the high, low, and midpoint of the first 15-minute candle, then monitors for confirmed breakouts followed by midpoint retests to generate entry signals.
HOW IT WORKS
1. Captures the high, low, and midpoint of the first 15-minute candle (default 8:00-8:15 premarket)
2. Waits for price to close beyond the OR high or low by your specified breakout distance
3. After breakout confirmation, monitors for price to pull back and touch the midpoint
4. Signals LONG after bullish breakout + midpoint retest
5. Signals SHORT after bearish breakout + midpoint retest
6. Resets after each signal allowing multiple setups per session
WHY 15-MINUTE ORB
The 15-minute Opening Range captures more price action than a 5-minute OR, often providing stronger support/resistance levels. The 8:00 AM default captures premarket activity before the 9:30 open, giving you levels established before the crowd arrives.
WHY BREAKOUT + RETEST
Entering on the initial breakout often results in chop and false signals. This indicator requires confirmation - price must first prove direction by closing beyond the breakout distance, then offer a pullback entry at the midpoint. This filters out many failed breakouts.
SETTINGS
- Breakout Distance - Points beyond OR zone required to confirm breakout
- Timezone - Select your market timezone
- Opening Range Time - Customizable (default 8:00-8:15)
- Session End Time - When to stop monitoring (default 4:00 PM)
VISUAL OUTPUT
- Green line - OR High
- Red line - OR Low
- Orange dotted line - OR Midpoint
- Status box displays current state (Watching, Active, Closed)
ALERTS
Built-in alerts for Long Entry, Short Entry, or Any Entry.
Works on any timeframe chart. The indicator pulls 15-minute data automatically using request.security().
Multi-TF Fibonacci Pivot Points V4.5.3📊 MULTI-TIMEFRAME FIBONACCI PIVOT POINTS
Display Fibonacci-based pivot points from multiple timeframes simultaneously on any chart. Perfect for identifying key support/resistance levels, confluences, and high-probability trade zones.
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✨ KEY FEATURES
🎯 MULTI-TIMEFRAME DISPLAY
• View pivots from up to 6 different timeframes at once
• 4HR, Daily, Weekly, Monthly, Quarterly, and Yearly support
• Automatic timeframe validation prevents invalid combinations
• Smart label placement reduces chart clutter
📈 FIBONACCI LEVELS
• S3: -0.618 (Deep support)
• S2: -0.382 (Intermediate support)
• S1: -0.236 (Shallow support)
• Pivot Point: 0.000 (Central pivot)
• R1: +0.236 (Shallow resistance)
• R2: +0.382 (Intermediate resistance)
• R3: +0.618 (Deep resistance)
• Optional additional Fibonacci levels available in settings
🎨 HIGHLY CUSTOMIZABLE
• Individual color control for each timeframe
• Show/hide specific levels (S3, S2, S1, P, R1, R2, R3)
• Adjustable line width and transparency
• Optional price labels
• Compact or detailed label formats
🔔 ALERT SYSTEM
• Long Signal: Price crosses above pivot point
• Short Signal: Price crosses below pivot point
• Customizable alert messages
• Works with webhooks for automated trading
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💡 HOW TO USE
**CONFLUENCE TRADING:**
When multiple timeframe pivots align at the same price level, it creates a strong confluence zone. These areas often act as significant support/resistance.
Example:
• Daily R1, Weekly P, and Monthly S1 all near $90,000
• This creates a high-probability resistance zone
• Consider taking profits or shorting at this confluence
**TREND IDENTIFICATION:**
• Price above all pivots = Strong uptrend
• Price below all pivots = Strong downtrend
• Price between pivots = Range-bound or transitional
**SUPPORT/RESISTANCE:**
• Fibonacci levels act as dynamic support/resistance
• S1/R1: First line of support/resistance (shallow retracements)
• S2/R2: Intermediate zones (common reversal points)
• S3/R3: Deep retracements (high-probability bounce areas)
**ENTRY/EXIT STRATEGIES:**
• Buy at support levels (S1, S2, S3) in uptrends
• Sell at resistance levels (R1, R2, R3) in downtrends
• Use pivot point as dynamic stop loss or take profit target
• Combine with your preferred indicators for confirmation
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🎓 PRACTICAL EXAMPLE: Confluence Zone Reversal
**Setup:**
• BTC in downtrend, approaching $84,000
• Daily S2, Weekly S1, and Monthly Pivot all converge at $84,000
• Strong 3-timeframe confluence = high-probability support zone
**Entry Signal:**
• Wait for price to test the $84,000 confluence level
• Look for reversal confirmation (reversal pattern, bullish engulfing, RSI divergence, volume spike etc)
• Enter long position above confluence at $84,100
**Risk Management:**
• Stop loss: $83,500 (below S2 support level – generally recommended to use same TF although for better R:R you could consider using a different TF support level)
• Initial target: $86,000 (Daily R1 resistance)
• Risk/Reward: ~$500 risk for $1,900 profit potential = 1:3.8 ratio
**Why It Works:**
When multiple timeframes agree on a support level, it creates strong buyer interest at that price zone. Professional traders and algorithms often place orders at these confluence areas. When the support holds, the reversal moves are typically swift and powerful as trapped short sellers cover positions and new buyers enter.
This same principle works in reverse for resistance confluences (shorting opportunities) and can be applied across any timeframe or asset class.
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⚙️ SETTINGS GUIDE
**TIMEFRAME CONFIGURATION:**
• Enable/disable each timeframe independently
• Set 4HR, Daily, Weekly, Monthly, Quarterly, Yearly periods
• Warning system prevents invalid timeframe combinations
**LEVEL VISIBILITY:**
• Toggle individual Fibonacci levels on/off
• Hide levels you don't trade to reduce clutter
• Keep only the levels relevant to your strategy
• Enable optional additional Fibonacci levels if needed
**VISUAL CUSTOMIZATION:**
• Choose colours that match your charting style
• Adjust line width for visibility (1-3 recommended)
• Set transparency for background levels (20-40% typical)
• Enable/disable price labels based on preference
**ALERTS:**
• Set up alerts for pivot point crosses
• Receive notifications when price tests key levels
• Use webhook URLs for automated trade execution
• Customize alert messages for different scenarios
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📚 UNDERSTANDING FIBONACCI PIVOTS
**What are Fibonacci Pivot Points?**
Traditional pivot points use simple averages (High + Low + Close) / 3. Fibonacci pivot points enhance this by applying Fibonacci ratios (0.236, 0.382, 0.618) to calculate support and resistance levels.
**Why Fibonacci Ratios?**
These ratios appear frequently in nature and financial markets:
• 0.236 (23.6%) - Shallow retracement
• 0.382 (38.2%) - Common retracement zone
• 0.618 (61.8%) - Golden ratio, deep retracement
Markets often respect these levels due to trader psychology and self-fulfilling prophecy.
**Multi-Timeframe Advantage:**
Higher timeframe pivots carry more weight:
• Yearly/Quarterly pivots: Major support/resistance (long-term positioning)
• Monthly pivots: Significant levels (swing trades)
• Weekly pivots: Intermediate zones (position trades)
• Daily pivots: Short-term levels (day trades)
• 4HR/Lower timeframes: Intraday precision (scalping)
When pivots from multiple timeframes align, the confluence creates stronger support/resistance that professional traders watch closely.
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⚡ INTEGRATION WITH STRATEGY BUILDING
This indicator works seamlessly with strategy builders and backtesting tools. The alert system provides clean signals that can be used as entry/exit conditions.
These signals can be incorporated into automated strategies or used as confluence filters with your existing trading system.
**Compatible with:**
• TradingView's Strategy Tester
• Most strategy building tools
• Webhook-based automation platforms
• Custom Pine Script strategies
Simply reference the indicator's signals in your strategy logic or use the visual levels for manual discretionary trading.
⚠️ IMPORTANT NOTES
**Timeframe Rules:**
• Current chart timeframe must be LOWER than indicator timeframes
• Example: Can't display Daily pivots on Weekly chart
• Invalid combinations will show warning in label
• Solution: Switch to lower chart timeframe or adjust indicator settings
**Performance Considerations:**
• Displaying 6 timeframes with all levels = 42 lines on chart
• Disable unused timeframes to reduce visual clutter
• Hide levels you don't actively trade (e.g., keep only S1, P, R1)
• Use transparency to make background levels less prominent
**Alert Best Practices:**
• Test alerts on paper trading account first
• Understand alert fires when bar CLOSES (not on wick)
• Pivot point crosses generate signals, not individual S/R levels
• Combine with other confluence factors (don't trade alerts blindly)
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📖 PRACTICE SUGGESTIONS
1. Observe how price respects pivot levels (especially HTF ones)
2. If available, use the Replay feature to identify how price reacts to different pivot levels (try to check in bullish, bearish and flat markets)
3. Use additional confluence for trades (previous S/R, momentum indicators etc)
4. Backtest your strategy before live trading
5. Keep a trading journal of pivot-based trades
6. Gradually add more timeframes as you gain experience
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📈 BUILDING COMPLETE TRADING SYSTEMS
Multi-Timeframe Fibonacci Pivots excels at identifying high-probability price levels and confluence zones. For traders looking to develop complete trading strategies around these signals, the natural progression involves:
**1. Signal Identification** (This Indicator)
Identify key support/resistance levels and confluence zones across multiple timeframes
**2. Strategy Development**
Test and validate trading rules around these pivot levels using backtesting tools
**3. Trade Management**
Implement proper entry execution, exit management, position sizing, and risk controls
This indicator integrates seamlessly with strategy testing and trade management systems. For traders serious about building robust, professional-grade trading approaches, explore the additional indicators/strategies I will be publishing soon.
The goal is always the same: transform good trading ideas into consistently executable strategies with proper risk management.
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🎯 QUICK START CHECKLIST
Getting started with MTF Fibonacci Pivots:
Add indicator to chart (lower timeframe than pivots you want to see)
Enable 1-2 timeframes initially (e.g., Daily + Weekly)
Customize colours to match your chart theme
Hide levels you don't trade (optional: keep only S1, P, R1)
Identify current confluence zones
Mark key levels you'll watch for the session/day/week
Set up alerts for pivot crosses (optional)
Practice identifying setups before taking real trades
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🌟 ENJOY TRADING WITH MTF FIBONACCI PIVOTS!
Whether you're a day trader looking for intraday levels, a swing trader seeking major support/resistance zones, or a long-term investor identifying key price areas, Multi-Timeframe Fibonacci Pivots provides the levels you need at a glance.
Happy trading! 📈
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🔐 RISK DISCLAIMER
This indicator is for educational
and informational purposes only. It does not constitute financial advice.
**Remember:**
• No indicator is 100% accurate
• Always use proper risk management (stop losses, position sizing)
• Past performance does not guarantee future results
• Combine with your own analysis and trading plan
• Never risk more than you can afford to lose
• Test thoroughly on paper trading before using real capital
Trading carries significant risk. Ensure you understand these risks before trading.
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💬 FEEDBACK & SUPPORT
**Found a bug?** Please report via comments with:
• Chart timeframe, asset, and indicator settings
• Description of issue and expected behavior
**Feature requests?** I'm always looking to improve! Let me know:
• What additional functionality would help your trading?
• Which features do you use most/least?
• How can the indicator be more user-friendly?
**Success story?** Share how you're using MTF Fibonacci Pivots! Community feedback helps guide future development.
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🙏 CREDITS & ACKNOWLEDGMENTS
**Original Concept:**
This indicator is based on the excellent "Fibonacci Extension / Retracement / Pivot Points" script by dgtrd. The original script provided a solid foundation for calculating Fibonacci-based pivot levels.
**Changes in This Version:**
• Multi-timeframe capability (display up to 6 timeframes simultaneously)
• Optional additional Fibonacci levels
• Enhanced customization (colors, widths, transparency per timeframe)
• Improved label system (compact/detailed formats, smart placement)
• Timeframe validation and warnings
• Optimized performance for multiple timeframes
**Attribution:**
Original script by dgtrd:
Enhancements and multi-timeframe implementation with the support of Al
If you find value in this indicator, please also check out dgtrd's original work and other excellent pivot point indicators in the TradingView community.
QuantCrawler 5m ORB Pro - Opening Range with Confluence FiltersThis indicator captures the 5-minute Opening Range and generates entry signals using a breakout-then-retest methodology. It includes optional confluence filters to refine entries and reduce false signals.
HOW IT WORKS
1. Captures the 5-minute Opening Range (high, low, midpoint) at your selected session open
2. Waits for price to break beyond OR high or low by your defined distance
3. After breakout, monitors for price to retest the OR midpoint
4. Signals LONG after bullish breakout + midpoint retest
5. Signals SHORT after bearish breakout + midpoint retest
6. Marks invalidated signals with (X) if price breaks through the opposite side
PRE-CONFIGURED SESSIONS
- NYSE - 9:30-9:35 ET
- CME - 8:30-8:35 CT
- London - 3:00-3:05 ET
- Asia - 7:00-7:05 PM ET
- Custom - Define your own session times and timezone
BREAKOUT DISTANCE OPTIONS
Choose between fixed points or percentage-based breakout threshold. Percentage mode automatically scales to the instrument price.
CONFLUENCE FILTERS
Optional filters to add confirmation before signals fire:
- VWAP - Long requires price above VWAP, short requires below
- EMA Slope - Confirms trend direction using 20-period EMA
- Volume - Requires relative volume above 1.5x average
- FVG - Requires a Fair Value Gap supporting trade direction
- ATR - Filters Opening Ranges that are abnormally small or large relative to ATR
When filters block a valid setup, the indicator displays a BLOCKED label so you can see what you missed and why.
STATUS BOX
Real-time display showing:
- Current trade state (Building OR, Watching, Awaiting Retest, Long/Short Active)
- OR High, Low, and Midpoint levels
- Active filters and block reasons
ALERTS
Built-in alerts for Long Entry, Short Entry, or Any Entry.
Mawhoob (TD - Trend Direction) - v1.1Mawhoob (Trend Direction - TD) Indicator v1.1
Professional Trend Analysis & Market Context Dashboard
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🎯 Overview
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Mawhoob (Trend Direction - TD) is a comprehensive, professional-grade technical analysis tool designed to provide traders with multi-dimensional market insights. This advanced indicator combines a proprietary adaptive trend line with real-time market context data, offering a complete market analysis solution in one elegant package.
✨ Key Features ✨
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📈 Trend Direction Line (TD Line)
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Intelligent Moving Average System: Utilizes a sophisticated blend of EMA, RMA, and WMA with smart adaptive error correction.
1- Dynamic Color Coding:
🟢 Green: Bullish trend (price momentum upward).
🔴 Red: Bearish trend (price momentum downward).
2- Customizable Parameters:
Main Period (1-200): Control long-term vs. short-term sensitivity.
Fast Period (0-50): Fine-tune responsiveness to price changes.
Weighting Factor (0-3): Adjust current price influence on the trend line.
3- Visual Bands: Optional upper and lower bands that create a dynamic channel around the trend line.
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📊 Real-Time Market Dashboard
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A comprehensive information panel displaying multiple technical indicators and market dominance metrics.
Technical Indicators Section:
1- RSI (Relative Strength Index)
Current value with color-coded momentum indication.
Direction status: UP / DOWN / NEUTRAL.
Customizable overbought/oversold levels.
Includes RSI SMA for trend confirmation.
2- MACD (Moving Average Convergence Divergence)
Real-time MACD line value.
Trend direction based on MACD vs. Signal line relationship.
Fully customizable fast, slow, and signal periods.
3- ADX (Average Directional Index)
Trend strength measurement.
Color-coded display: Strong vs. Weak trend.
Adjustable strength threshold.
Market Dominance Section:
1- DXY (US Dollar Index)
Real-time dollar strength tracking.
Direction indicator for forex correlation analysis.
2- BTC.D (Bitcoin Dominance)
Bitcoin market dominance percentage.
Useful for crypto market sentiment analysis.
3- USDT.D (Tether Dominance)
Stablecoin dominance tracking.
Risk-on/risk-off market indicator.
All dominance metrics feature:
Customizable timeframe selection.
UP/DOWN/NEUTRAL directional indicators.
Color-coded values for quick visual assessment.
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🔔 Alert & Signal System
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Price Crossover Alerts: Get notified when price crosses above or below the TD line.
Smart Alert Logic: Filters out neutral/flat market conditions to reduce noise.
Visual Signals: Optional triangle markers on chart (▲ bullish, ▼ bearish).
Once-Per-Bar Frequency: Prevents alert spam while ensuring you don't miss opportunities.
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🎨 Visual Customization
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Candle Color Mode: Option to color candles based on trend direction.
Dashboard Positioning: Choose LEFT, RIGHT, or CENTER placement.
Text Size Options: TINY, SMALL, NORMAL, or LARGE for optimal readability.
Customizable colors for Bullish/Bearish trend lines.
Customizable colors for dashboard backgrounds and borders.
Customizable colors for UP/DOWN/NEUTRAL status indicators.
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📚 Use Cases
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For Day Traders
Quick trend identification with color-coded TD line.
Real-time momentum gauges (RSI, MACD).
Instant crossover alerts for entry/exit timing.
For Swing Traders
Medium-term trend direction with adjustable periods.
ADX strength indicator for high-probability setups.
Market dominance context for broader market analysis.
For Crypto Traders
BTC.D and USDT.D tracking for altcoin season detection.
Integrated multi-indicator analysis.
Customizable timeframes for dominance metrics.
For Multi-Market Analysis
DXY correlation for forex and commodities.
Comprehensive dashboard for quick market scans.
Cross-market sentiment analysis.
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⚙️ Settings & Customization
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Trend Direction Settings
Main TD Period: Adjust overall trend sensitivity.
Fast TD Period: Control responsiveness (0 = no smoothing).
Weighting Factor: Balance between historical and current prices.
Line width and colors for visual preference.
Optional trend bands with adjustable transparency.
Dashboard Settings
Toggle individual indicators on/off.
Customize all indicator periods and thresholds.
Choose timeframe for dominance indices.
Adjust colors, position, size, and borders.
Complete visual control for your trading style.
Alert & Signal Settings
Enable/disable crossover alerts.
Optional visual signals on chart.
Smart built-in filtering to reduce false signals.
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🎓 Best Practices
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Trend Following: Use the TD line as your primary trend filter - trade with the color.
Confirmation: Combine TD direction with RSI and MACD for higher probability setups.
Strength Filter: Use ADX to avoid weak/choppy trends.
Market Context: Check dominance indicators for broader market sentiment.
Alerts: Set alerts to catch reversals without constant chart watching.
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🚀 What Makes This Indicator Special ?
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✅ All-in-One Solution: Multiple professional indicators in one clean package.
✅ Adaptive System: Responds to market conditions, not just static calculations.
✅ Professional Dashboard: Institutional-grade information display.
✅ Real-Time Data: Live updates from multiple markets and assets.
✅ Highly Customizable: Tailor every aspect to your trading style.
✅ Clean Code: Optimized Pine Script v6 for maximum performance.
✅ No Repainting: Uses (barstate.isconfirmed) to ensure calculations only occur on closed bars.
✅ Resource Efficient: Smooth performance even with all features enabled.
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🎯 Perfect For
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Trend identification and following.
Multi-timeframe analysis.
Market sentiment tracking.
Entry and exit timing.
Portfolio management decisions.
Risk assessment through trend strength.
Correlation analysis across markets.
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📝 Notes
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All calculations are performed on confirmed bars to prevent repainting.
Dashboard updates in real-time as market conditions change.
Dominance indices (DXY, BTC.D, USDT.D) require market data access.
Best results achieved when combined with proper risk management.
Suitable for all markets: stocks, forex, crypto, commodities, indices.
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💡 Pro Tips
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Start with default settings and adjust based on your timeframe.
Lower periods (5-10) for scalping, higher (20-50) for swing trading.
Use the dashboard as a quick health check for your current positions.
Combine TD line with support/resistance for confluence.
Watch dominance indicators for early market regime changes.
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⚠️ Important Notes
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This indicator is for educational and informational purposes only.
Always confirm signals with your own analysis before trading.
Use proper risk management and position sizing.
The indicator works on all timeframes and instruments.
Past performance does not guarantee future results.
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🔄 Updates & Support
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Current Version: v1.1
This indicator is actively maintained and updated. Future versions may include additional features and improvements based on user feedback.
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🙏 Acknowledgments
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Created & designed by: @mawhoobx
📝 Remember: The best indicator is the one combined with proper risk management, discipline, and a solid trading plan. This tool is designed to assist your analysis, not replace your judgment.
Trade Smart. Trade Safe. Trade Profitable.
MacroTide Elasticity SystemThe MacroTide Elasticity System is a professional-grade technical analysis tool designed to identify potential trend exhaustions and reversals by modeling price action as an elastic band stretched from a volume-weighted baseline. Unlike standard oscillators (like RSI) that only look at price changes, MacroTide integrates Volume, Price Range, and Volatility to gauge the "energy" behind a move.
1. Concepts and Methodology
The core concept is Mean Reversion based on Volume-Weighted Elasticity. Markets tend to snap back to a value consensus (mean) after over-extension.
Volume-Weighted Baseline: We use a Volume Weighted Moving Average (VWMA) rather than a simple SMA. This ensures that heavy-volume trading days pull the baseline closer to price, while low-volume drift allows the baseline to lag, accurately representing the "true" average cost.
Elasticity Physics: The oscillator calculates how far price has deviated from this VWMA baseline, measured in standard deviations. This creates a normalized "Elasticity Score" (0-100).
High Score (>80): Price is over-extended to the upside (Overbought) relative to volume support.
Low Score (<20): Price is over-extended to the downside (Oversold).
Institutional Absorption (Churn): The script detects specific bar anomalies where Volume is High but Price Range is Low. This pattern often indicates "Churn"—where institutions are absorbing supply or unloading positions without moving the price significantly.
2. Key Features
MacroTrend Detection: Visualizes the market's stretch limits.
Divergence Scanner: Automatically detects and labels Regular Bullish and Bearish divergences. This occurs when price makes a new extreme, but the Elasticity Oscillator fails to confirm it, signaling waning momentum.
Absorption Events: Highlights yellow "sun" markers on the oscillator when high-volume churn is detected, often preceding a breakout or reversal.
Dynamic Coloring: Candles and oscillator lines change color based on the slope of the elasticity (Green for rising momentum, Red for falling).
3. How to Use
Trend Reversals: Look for the oscillator to enter the Overbought (80) or Oversold (20) zones. A reversal signal (triangle marker) is generated when the oscillator crosses back out of these zones, indicating the "snap back" effect has begun.
Divergence Confirmation: Use the "DIV" labels as early warning signs. A Bullish Divergence in an oversold zone is a high-probability setup for a long entry.
Filtering Trends: The center line (50) acts as a trend filter. Above 50 indicates bullish bias; below 50 indicates bearish bias.
4. Settings & Customisation
Lookback Period: Default is 21 (Swing). Increase to 50 or 100 for Macro/Long-term analysis.
StdDev Multiplier: Adjusts the sensitivity of the bands. Higher values (e.g., 2.5 or 3.0) are better for volatile assets like Crypto.
Absorption Volume Factor: Threshold for detecting churn. Default is 1.5x average volume.
Disclaimer: This tool is for informational purposes only. Past performance (divergences/signals) does not guarantee future results. Always manage risk effectively.
Blaster FX ICTBlaster FX ICT
A professional ICT (Inner Circle Trader) based indicator designed to highlight institutional timing, key trading sessions, and the first Fair Value Gap during the New York session.
Features:
Kill Zones (New York Time):
Asia Kill Zone (20:00 – 00:00)
London Kill Zone (02:00 – 05:00)
New York Kill Zone (08:30 – 11:00)
Zones reset daily based on the ICT trading day (6:00 PM NY)
Key Levels:
Previous Day High (PDH)
Previous Day Low (PDL)
Important Opens:
8:30 AM New York Open
00:00 Midnight Open
Fair Value Gap (FVG):
Plots only the first FVG formed during the New York session after 9:30
Clear distinction between bullish and bearish FVGs
Purpose:
Improve entry timing during the New York session
Focus on the first institutional opportunity of the day
Reduce chart clutter and enhance price clarity
Disclaimer:
This indicator is for educational and analytical purposes only and does not constitute financial advice.
FibLevel Size CalculatorThis skript calculates position sizes and new take profits for sizing into an long or short position with 3 entrys defined at custom fibonacci retracement levels.
TP: -0,272
Entry1: 0.382
Entry2: 0.618
Entry3: 0.83
SL: 1.05
Expected RR per trade is 0.2 with a High Win rate definitly profitable.
Search for an established trend on the higher timeframe, drop to the smaller ones and look for correction waves. Once they break to the trenddirection of the higher timeframe take the fib from lowest to highes point. Draw a fib level on the chart and use the Indicator to define these Levels above. The calculator gives you the Margin to use in each position, and will check that you will not get liquidated an that you have enough margin. It tells you the new TP for Limit2 and Limit3 if they get hit so you can get out of the trade full TP with a small bounce.
Inputs:
Account Balance, Risk Percentage, and Leverage: These inputs are used to calculate the position size and risk.
Entry 1, Entry 2, Entry 3, Take Profit (TP), and Stop Loss (SL): These prices are used for calculating position sizes, risk, and profit for up to three entry points.
Calculations:
Risk Amount: Calculated based on the account balance and risk percentage.
Position Sizes (Qty): For each entry point, the position size is determined. The second and third entries have a multiplier (3x for Entry 2, 5x for Entry 3) compared to the first.
Stop Loss and Profit Calculation: The script calculates the potential profit and adjusts the TP levels based on the average entries for Limit 2 and Limit 3.
Margin Calculation: Margin requirements for each position are calculated based on leverage.
Output:
Table Display: A table shows key values like entry prices, position sizes, TP levels, potential profit, and margin requirements for each limit.
Warnings: It includes a liquidation warning and a check for whether the account is at risk of liquidation based on leverage.
Position Type: It automatically detects if the trade is a long or short based on the relationship between TP and SL.
Visualization:
Lines: It draws horizontal lines on the chart to visually represent the entry, TP, and SL levels.
Overall, this script is designed to help traders manage risk and calculate position sizes for multi-level entries using leverage.
Pls drop feedback in the comments.
Nef33 Forex & Crypto Trading Signals PRO
1. Understanding the Indicator's Context
The indicator generates signals based on confluence (trend, volume, key zones, etc.), but it does not include predefined SL or TP levels. To establish them, we must:
Use dynamic or static support/resistance levels already present in the script.
Incorporate volatility (such as ATR) to adjust the levels based on market conditions.
Define a risk/reward ratio (e.g., 1:2).
2. Options for Determining SL and TP
Below, I provide several ideas based on the tools available in the script:
Stop Loss (SL)
The SL should protect you from adverse movements. You can base it on:
ATR (Volatility): Use the smoothed ATR (atr_smooth) multiplied by a factor (e.g., 1.5 or 2) to set a dynamic SL.
Buy: SL = Entry Price - (atr_smooth * atr_mult).
Sell: SL = Entry Price + (atr_smooth * atr_mult).
Key Zones: Place the SL below a support (for buys) or above a resistance (for sells), using Order Blocks, Fair Value Gaps, or Liquidity Zones.
Buy: SL below the nearest ob_lows or fvg_lows.
Sell: SL above the nearest ob_highs or fvg_highs.
VWAP: Use the daily VWAP (vwap_day) as a critical level.
Buy: SL below vwap_day.
Sell: SL above vwap_day.
Take Profit (TP)
The TP should maximize profits. You can base it on:
Risk/Reward Ratio: Multiply the SL distance by a factor (e.g., 2 or 3).
Buy: TP = Entry Price + (SL Distance * 2).
Sell: TP = Entry Price - (SL Distance * 2).
Key Zones: Target the next resistance (for buys) or support (for sells).
Buy: TP at the next ob_highs, fvg_highs, or liq_zone_high.
Sell: TP at the next ob_lows, fvg_lows, or liq_zone_low.
Ichimoku: Use the cloud levels (Senkou Span A/B) as targets.
Buy: TP at senkou_span_a or senkou_span_b (whichever is higher).
Sell: TP at senkou_span_a or senkou_span_b (whichever is lower).
3. Practical Implementation
Since the script does not automatically draw SL/TP, you can:
Calculate them manually: Observe the chart and use the levels mentioned.
Modify the code: Add SL/TP as labels (label.new) at the moment of the signal.
Here’s an example of how to modify the code to display SL and TP based on ATR with a 1:2 risk/reward ratio:
Modified Code (Signals Section)
Find the lines where the signals (trade_buy and trade_sell) are generated and add the following:
pinescript
// Calculate SL and TP based on ATR
atr_sl_mult = 1.5 // Multiplier for SL
atr_tp_mult = 3.0 // Multiplier for TP (1:2 ratio)
sl_distance = atr_smooth * atr_sl_mult
tp_distance = atr_smooth * atr_tp_mult
if trade_buy
entry_price = close
sl_price = entry_price - sl_distance
tp_price = entry_price + tp_distance
label.new(bar_index, low, "Buy: " + str.tostring(math.round(bull_conditions, 1)), color=color.green, textcolor=color.white, style=label.style_label_up, size=size.tiny)
label.new(bar_index, sl_price, "SL: " + str.tostring(math.round(sl_price, 2)), color=color.red, textcolor=color.white, style=label.style_label_down, size=size.tiny)
label.new(bar_index, tp_price, "TP: " + str.tostring(math.round(tp_price, 2)), color=color.blue, textcolor=color.white, style=label.style_label_up, size=size.tiny)
if trade_sell
entry_price = close
sl_price = entry_price + sl_distance
tp_price = entry_price - tp_distance
label.new(bar_index, high, "Sell: " + str.tostring(math.round(bear_conditions, 1)), color=color.red, textcolor=color.white, style=label.style_label_down, size=size.tiny)
label.new(bar_index, sl_price, "SL: " + str.tostring(math.round(sl_price, 2)), color=color.red, textcolor=color.white, style=label.style_label_up, size=size.tiny)
label.new(bar_index, tp_price, "TP: " + str.tostring(math.round(tp_price, 2)), color=color.blue, textcolor=color.white, style=label.style_label_down, size=size.tiny)
Code Explanation
SL: Calculated by subtracting/adding sl_distance to the entry price (close) depending on whether it’s a buy or sell.
TP: Calculated with a double distance (tp_distance) for a 1:2 risk/reward ratio.
Visualization: Labels are added to the chart to display SL (red) and TP (blue).
4. Practical Strategy Without Modifying the Code
If you don’t want to modify the script, follow these steps manually:
Entry: Take the trade_buy or trade_sell signal.
SL: Check the smoothed ATR (atr_smooth) on the chart or calculate a fixed level (e.g., 1.5 times the ATR). Also, review nearby key zones (OB, FVG, VWAP).
TP: Define a target based on the next key zone or multiply the SL distance by 2 or 3.
Example:
Buy at 100, ATR = 2.
SL = 100 - (2 * 1.5) = 97.
TP = 100 + (2 * 3) = 106.
5. Recommendations
Test in Demo: Apply this logic in a demo account to adjust the multipliers (atr_sl_mult, atr_tp_mult) based on the market (forex or crypto).
Combine with Zones: If the ATR-based SL is too wide, use the nearest OB or FVG as a reference.
Risk/Reward Ratio: Adjust the TP based on your tolerance (1:1, 1:2, 1:3)
Risk & Position DashboardRisk & Position Dashboard
Overview
The Risk & Position Dashboard is a comprehensive trading tool designed to help traders calculate optimal position sizes, manage risk, and visualize potential profit/loss scenarios before entering trades. This indicator provides real-time calculations for position sizing based on account size, risk percentage, and stop-loss levels, while displaying multiple take-profit targets with customizable risk-reward ratios.
Key Features
Position Sizing & Risk Management:
Automatic position size calculation based on account size and risk percentage
Support for leveraged trading with maximum leverage limits
Fractional shares support for brokers that allow partial share trading
Real-time fee calculation including entry, stop-loss, and take-profit fees
Break-even price calculation including trading fees
Multi-Target Profit Management:
Support for up to 3 take-profit levels with individual portion allocations
Customizable risk-reward ratios for each take-profit target
Visual profit/loss zones displayed as colored boxes on the chart
Individual profit calculations for each take-profit level
Visual Dashboard:
Clean, customizable table display showing all key metrics
Configurable label positioning and styling options
Real-time tracking of whether stop-loss or take-profit levels have been reached
Color-coded visual zones for easy identification of risk and reward areas
Advanced Configuration:
Comprehensive input validation and error handling
Support for different chart timeframes and symbols
Customizable colors, fonts, and display options
Hide/show individual data fields for personalized dashboard views
How to Use
Set Account Parameters: Configure your account size, maximum risk percentage per trade, and trading fees in the "Account Settings" section.
Define Trade Setup: Use the "Entry" time picker to select your entry point on the chart, then input your entry price and stop-loss level.
Configure Take Profits: Set your desired risk-reward ratios and portion allocations for each take-profit level. The script supports 1-3 take-profit targets.
Analyze Results: The dashboard will automatically calculate and display position size, number of shares, potential profits/losses, fees, and break-even levels.
Visual Confirmation: Colored boxes on the chart show profit zones (green) and loss zones (red), with lines extending to current price levels.
Reset Entry and SL:
You can easily reset the entry and stop-loss by clicking the "Reset points..." button from the script's "More" menu.
This is useful if you want to quickly clear your current trade setup and start fresh without manually adjusting the points on the chart.
Calculations
The script performs sophisticated calculations including:
Position size based on risk amount and price difference between entry and stop-loss
Leverage requirements and position amount calculations
Fee-adjusted risk-reward ratios for realistic profit expectations
Break-even price including all trading costs
Individual profit calculations for partial position closures
Detailed Take-Profit Calculation Formula:
The take-profit prices are calculated using the following mathematical formula:
// Core variables:
// risk_amount = account_size * (risk_percentage / 100)
// total_risk_per_share = |entry_price - sl_price| + (entry_price * fee%) + (sl_price * fee%)
// shares = risk_amount / total_risk_per_share
// direction_factor = 1 for long positions, -1 for short positions
// Take-profit calculation:
net_win = total_risk_per_share * shares * RR_ratio
tp_price = (net_win + (direction_factor * entry_price * shares) + (entry_price * fee% * shares)) / (direction_factor * shares - fee% * shares)
Step-by-step example for a long position (based on screenshot):
Account Size: 2,000 USDT, Risk: 2% = 40 USDT
Entry: 102,062.9 USDT, Stop Loss: 102,178.4 USDT, Fee: 0.06%
Risk per share: |102,062.9 - 102,178.4| + (102,062.9 × 0.0006) + (102,178.4 × 0.0006) = 115.5 + 61.24 + 61.31 = 238.05 USDT
Shares: 40 ÷ 238.05 = 0.168 shares (rounded to 0.17 in display)
Position Size: 0.17 × 102,062.9 = 17,350.69 USDT
Position Amount (with 9x leverage): 17,350.69 ÷ 9 = 1,927.85 USDT
For 2:1 RR: Net win = 238.05 × 0.17 × 2 = 80.94 USDT
TP1 price = (80.94 + (1 × 102,062.9 × 0.17) + (102,062.9 × 0.0006 × 0.17)) ÷ (1 × 0.17 - 0.0006 × 0.17) = 101,464.7 USDT
For 3:1 RR: TP2 price = 101,226.7 USDT (following same formula with RR=3)
This ensures that after accounting for all fees, the actual risk-reward ratio matches the specified target ratio.
Risk Management Features
Maximum Trade Amount: Optional setting to limit position size regardless of account size
Leverage Limits: Built-in maximum leverage protection
Fee Integration: All calculations include realistic trading fees for accurate expectations
Validation: Automatic checking that take-profit portions sum to 100%
Historical Tracking: Visual indication when stop-loss or take-profit levels are reached (within last 5000 bars)
Understanding Max Trade Amount - Multiple Simultaneous Trades:
The "Max Trade Amount" feature is designed for traders who want to open multiple positions simultaneously while maintaining proper risk management. Here's how it works:
Key Concept:
- Risk percentage (2%) always applies to your full Account Size
- Max Trade Amount limits the capital allocated per individual trade
- This allows multiple trades with full risk on each trade
Example from Screenshot:
Account Size: 2,000 USDT
Max Trade Amount: 500 USDT
Risk per Trade: 2% × 2,000 = 40 USDT per trade
Stop Loss Distance: 0.11% from entry
Result: Position Size = 17,350.69 USDT with 35x leverage
Total Risk (including fees): 40.46 USDT
Multiple Trades Strategy:
With this setup, you can open:
Trade 1: 40 USDT risk, 495.73 USDT position amount (35x leverage)
Trade 2: 40 USDT risk, 495.73 USDT position amount (35x leverage)
Trade 3: 40 USDT risk, 495.73 USDT position amount (35x leverage)
Trade 4: 40 USDT risk, 495.73 USDT position amount (35x leverage)
Total Portfolio Exposure:
- 4 simultaneous trades = 4 × 495.73 = 1,982.92 USDT position amount
- Total risk exposure = 4 × 40 = 160 USDT (8% of account)
PivotBoss VWAP Bands (Auto TF) - FixedWhat this indicator shows (high level)
The indicator plots a VWAP line and three bands above (R1, R2, R3) and three bands below (S1, S2, S3).
Band spacing is computed from STD(abs(VWAP − price), N) and multiplied by 1, 2 and 3 to form R1–R3 / S1–S3. The script is timeframe-aware: on 30m/1H charts it uses Weekly VWAP and weekly bands; on Daily charts it uses Monthly VWAP and monthly bands; otherwise it uses the session/chart VWAP.
VWAP = the market’s volume-weighted average price (a measure of fair value). Bands = volatility-scaled zones around that fair value.
Trading idea — concept summary
VWAP = fair value. Price above VWAP implies bullish bias; below VWAP implies bearish bias.
Bands = graded overbought/oversold zones. R1/S1 are near-term limits, R2/S2 are stronger, R3/S3 are extreme.
Use trend alignment + price action + volume to choose higher-probability trades. VWAP bands give location and magnitude; confirmations reduce false signals.
Entry rules (multiple strategies with examples)
A. Momentum breakout (trend-following) — preferred on trending markets
Setup: Price consolidates near or below R1 and then closes above R1 with above-average volume. Chart: 30m/1H (Weekly VWAP) or Daily (Monthly VWAP) depending on your timeframe.
Entry: Enter long at the close of the breakout bar that closes above R1.
Stop-loss: Place initial stop below the higher of (VWAP or recent swing low). Example: if price broke R1 at ₹1,200 and VWAP = ₹1,150, set stop at ₹1,145 (5 rupee buffer below VWAP) or below the last swing low if that is wider.
Target: Partial target at R2, full target at R3. Trail stop to VWAP or to R1 after price reaches R2.
Example numeric: Weekly VWAP = ₹1,150, R1 = ₹1,200, R2 = ₹1,260. Buy at ₹1,205 (close above R1), stop ₹1,145, target1 ₹1,260 (R2), target2 ₹1,320 (R3).
B. Mean-reversion fade near bands — for range-bound markets
Setup: Market is not trending (VWAP flatish). Price rallies up to R2 or R3 and shows rejection (pin bar, bearish engulfing) on increasing or neutral volume.
Entry: Enter short after a confirmed rejection candle that fails to sustain above R2 or R3 (prefer confirmation: close back below R1 or below the rejection candle low).
Stop-loss: Just above the recent high (e.g., 1–2 ATR or a fixed buffer above R2/R3).
Target: First target VWAP, second target S1. Reduce size if taking R3 fade as it’s an extreme.
Example numeric: VWAP = ₹950, R2 = ₹1,020. Price spikes to ₹1,025 and forms a bearish engulfing candle. Enter short at ₹1,015 after the next close below ₹1,020. Stop at ₹1,035, target VWAP ₹950.
C. Pullback entries in trending markets — higher probability
Setup: Price is above VWAP and trending higher (higher highs and higher lows). Price pulls back toward VWAP or S1 with decreasing downside volume and a reversal candle forms.
Entry: Long when price forms a bullish reversal (hammer/inside-bar) with a close back above the pullback candle.
Stop-loss: Below the pullback low (or below S2 if a larger stop is justified).
Target: VWAP then R1; if momentum resumes, trail toward R2/R3.
Example numeric: Price trending above Weekly VWAP at ₹1,400; pullback to S1 at ₹1,360. Enter long at ₹1,370 when a bullish candle closes; stop at ₹1,350; first target VWAP ₹1,400, second target R1 ₹1,450.
Exit rules and money management
Basic exit hierarchy
Hard stop exit — when price hits initial stop-loss. Always use.
Target exit — take partial profits at R1/R2 (for longs) or S1/S2 (for shorts). Use trailing stops for the remainder.
VWAP invalidation — if you entered long above VWAP and price returns and closes significantly below VWAP, consider exiting (condition depends on timeframe and trade size).
Price action exit — reversal patterns (strong opposite candle, bearish/bullish engulfing) near targets or beyond signals to exit.
Trailing rules
After price reaches R2, move stop to breakeven + a small buffer or to VWAP.
After price reaches R3, trail by 1 ATR or lock a defined profit percentage.
Position sizing & risk
Risk per trade: commonly 0.5–2% of account equity.
Determine position size by RiskAmount ÷ (EntryPrice − StopPrice).
If the stop distance is large (e.g., trading R3 fades), reduce position size.
Filters & confirmation (to reduce false signals)
Volume filter: For breakouts, require volume above short-term average (e.g., >20-period average). Breakouts on low volume are suspect.
Trend filter: Only take breakouts in the direction of the higher-timeframe trend (for example, use Daily/Weekly trend when trading 30m/1H).
Candle confirmation: Prefer entries on close of the confirming candle (not intrabar noise).
Multiple confirmations: When R1 break happens but RSI/plotted momentum indicator does not confirm, treat signal as lower probability.
Special considerations for timeframe-aware logic
On 30m/1H the script uses Weekly VWAP/bands. That means band levels change only on weekly candles — they are strong, structural levels. Treat R1/R2/R3 as significant and expect fewer, stronger signals.
On Daily, the script uses Monthly VWAP/bands. These are wider; trades should allow larger stops and smaller position sizes (or be used for swing trades).
On other intraday charts you get session VWAP (useful for intraday scalps).
Example: If you trade 1H and the Weekly R1 is at ₹2,400 while session VWAP is ₹2,350, a close above Weekly R1 represents a weekly-level breakout — prefer that for swing entries rather than scalps.
Example trade walkthrough (step-by-step)
Context: 1H chart, auto-mapped → Weekly VWAP used.
Weekly VWAP = ₹3,000; R1 = ₹3,080; R2 = ₹3,150.
Price consolidates below R1. A large bullish candle closes at ₹3,085 with volume 40% above the 20-bar average.
Entry: Buy at close ₹3,085.
Stop: Place stop at ₹2,995 (just under Weekly VWAP). Risk = ₹90.
Position size: If risking ₹900 per trade → size = 900 ÷ 90 = 10 units.
Targets: Partial take-profit at R2 = ₹3,150; rest trailed with stop moved to breakeven after R2 is hit.
If price reverses and closes below VWAP within two bars, exit immediately to limit drawdown.
When to avoid trading these signals
High-impact news (earnings, macro announcements) that can gap through bands unpredictably.
Thin markets with low volume — VWAP loses significance when volumes are extremely low.
When weekly/monthly bands are flat but intraday price is volatile without clear structure — prefer session VWAP on smaller timeframes.
Alerts & automation suggestions
Alert on close above R1 / below S1 (use the built-in alertcondition the script adds). For higher-confidence alerts, require volume filter in the alert condition.
Automated order rules (if you automate): use limit entry at breakout close plus a small slippage buffer, immediate stop order, and OCO for TP and SL.
AI Strat ATR Dinamico + ADX + Trend Adaptivo (No Repaint)Below is a fully self-contained, English-language description of every input, function, and logical block inside the “AI Strat ATR Dinamico + ADX + Trend Adaptivo (No Repaint)” indicator. You can copy and paste this into TradingView’s “Description” field when you publish, without exposing any Pine code.
---
## Indicator Name and Purpose
**Name (Short Title):**
AI Strat Adaptive v3 (NoRepaint)
**Overview:**
This indicator combines multiple technical tools—RSI, EMA, ATR (with a dynamic multiplier), ADX/DI, and an “AI‐style” scoring mechanism—to generate trend-filtered and reversal signals. It also optionally confirms signals on a higher timeframe, dynamically adjusts its sensitivity based on volatility, and plots intrabar stop‐loss (SL) and take‐profit (TP) levels derived from ATR. Special care has been taken to ensure that no signals “repaint” (i.e., once drawn on a closed bar, they never disappear or shift).
---
## 1. Main Inputs
All of the inputs appear in the Settings dialog for the published indicator. Below is a detailed explanation of each input, grouped by logical category.
### A. RSI & EMA Base Parameters
1. **RSI Length (Base)**
* **Input type:** Integer (default 14)
* **Description:** Number of bars used to calculate the Relative Strength Index (RSI). A shorter RSI reacts more quickly to price changes; a longer RSI is smoother.
2. **RSI Overbought Threshold**
* **Input type:** Integer (default 60)
* **Description:** If the RSI value rises above this level, it contributes a “sell” signal component. You can adjust this (e.g., 70) to make your system more conservative.
3. **RSI Oversold Threshold**
* **Input type:** Integer (default 40)
* **Description:** If the RSI falls below this level, it contributes a “buy” signal component. Raising this threshold (e.g., 50) makes the strategy more aggressive in seeking reversals.
4. **EMA Length (Base)**
* **Input type:** Integer (default 20)
* **Description:** Number of bars for the Exponential Moving Average (EMA). A shorter EMA will produce more frequent crossovers, a longer EMA is smoother.
### B. ATR & Volatility Filter Parameters
5. **ATR Length (Base)**
* **Input type:** Integer (default 14)
* **Description:** Number of bars to calculate Average True Range (ATR). The ATR is used both for measuring volatility and for dynamic SL/TP levels.
6. **ATR SMA Length**
* **Input type:** Integer (default 50)
* **Description:** Number of bars to compute a Simple Moving Average of the ATR itself. This gives a baseline of “normal” volatility. If ATR rises significantly above this SMA, the indicator treats the market as “high volatility.”
7. **ATR Multiplier Base**
* **Input type:** Float (default 1.2, step 0.1)
* **Description:** Base multiplier for ATR when filtering for volatility. The actual threshold is computed as `ATR_SMA × (ATR_Multiplier Base) × sqrt(current_ATR / ATR_SMA)`. In other words, the multiplier becomes larger if volatility is rising, and smaller if volatility is falling.
8. **Disable Volatility Filter**
* **Input type:** Boolean (default false)
* **Description:** If enabled (true), the indicator will ignore any volatility‐based filtering, using signals regardless of ATR behavior. If disabled (false), signals only fire when ATR > (ATR\_SMA × dynamic multiplier).
### C. Price-Change & “AI Score” Parameters
9. **Price Change Period (bars)**
* **Input type:** Integer (default 3)
* **Description:** The number of bars back to measure percentage price change. Used to ensure that a “trend” signal is accompanied by a sufficiently positive (for longs) or negative (for shorts) price movement over this many bars.
10. **Base AI Score Threshold**
* **Input type:** Float (default 0.1)
* **Description:** The indicator computes a composite “AI-style” score by combining the RSI signal (overbought/oversold) and an EMA crossover signal. Only if the absolute value of that composite score exceeds this threshold will a trend signal be eligible. Raising it makes signals rarer but (potentially) higher-conviction.
### D. SMA “ICT” Trend Filter Parameters
11. **ICT SMA Long Length (Base)**
* **Input type:** Integer (default 50)
* **Description:** Number of bars for the “long” Simple Moving Average (SMA) used in the internal trend filter. Typically, price must be above this SMA (and ADX must be strong) to confirm an uptrend, or below it (and ADX strong) to confirm a downtrend.
12. **ICT SMA Short1 Length (Base)**
* **Input type:** Integer (default 10)
* **Description:** Secondary “fast” SMA used both for reversal logic (e.g., price crossing above it can count as a bullish reversal) and part of the internal trend confirmation.
13. **ICT SMA Short2 Length (Base)**
* **Input type:** Integer (default 20)
* **Description:** A second “medium” SMA used for reversal triggers (e.g., crossovers or crossunders alongside RSI conditions).
### E. ADX & DI Parameters
14. **Base ADX Length**
* **Input type:** Integer (default 14)
* **Description:** Number of bars for the ADX (Average Directional Index) moving averages, which measure trend strength. The same length is used for +DI and –DI smoothing.
15. **Base ADX Threshold**
* **Input type:** Float (default 25.0, step 0.5)
* **Description:** If ADX > this threshold and +DI > –DI, we consider an uptrend; if ADX > this threshold and –DI > +DI, we consider a downtrend. Raising this value demands stronger trends to qualify.
### F. Sensitivity & Cooldown
16. **Sensitivity (0–1)**
* **Input type:** Float between 0.0 and 1.0 (default 0.5)
* **Description:** A general “mixture” parameter used internally to weight how aggressively the indicator leans into trend versus reversal. In practice, the code uses it to fine-tune exact thresholds for switching between trend and reversal conditions. You can leave it at 0.5 unless you want to bias more heavily toward either regime.
17. **Base Cooldown Bars Between Signals**
* **Input type:** Integer (default 5, min 0)
* **Description:** Once a long or short signal fires, the indicator will wait at least this many bars before allowing a new signal in the same direction. Prevents “signal flipping” on each bar. A higher number forces fewer, more spaced-out entries.
18. **Trend Confirmation Bars**
* **Input type:** Integer (default 3, min 1)
* **Description:** After the directional filters (+DI/–DI cross, price vs. SMA), the indicator still requires that price remains on the same side of the long SMA for at least this many consecutive bars before confirming “trend up” or “trend down.” Larger values smooth out false breakouts but may lag signals.
### G. Higher Timeframe Confirmation
19. **Use Higher Timeframe Confirmation**
* **Input type:** Boolean (default true)
* **Description:** If true, the indicator will request a block of values (SMA, +DI, –DI, ADX) from a higher timeframe (default 60 minutes) and require that the higher timeframe is also in agreement (strong uptrend or strong downtrend) before confirming your current-timeframe trend. This helps filter out lower-timeframe noise.
20. **Higher Timeframe (TF) for Confirmation**
* **Input type:** Timeframe (default “60”)
* **Description:** The chart timeframe (e.g., 5, 15, 60 minutes) whose trend conditions must also be true. It’s sent through a `request.security(..., lookahead=barmerge.lookahead_off)` call so that it never “paints ahead.”
### H. Dynamic TP/SL Parameters
21. **TP as ATR Multiple**
* **Input type:** Float (default 2.0, step 0.1)
* **Description:** When a trade is open, the “take-profit” price is determined by looking at the highest high (for longs) or lowest low (for shorts) observed since entry, and then plotting a cross (“X”) at that level when the trend finally flips. This is purely for display. However, separate from that, this parameter can be adapted if you want a strictly ATR–based TP. In the “Minimal” version, TP is ≈ (highest high) once trend inverts, but you could rewrite it to use `entry_price + ATR×TP_Multiplier`.
22. **SL as ATR Multiple**
* **Input type:** Float (default 1.0, step 0.1)
* **Description:** While in a trade, a trailing SL line is plotted each bar. Its value is always `entry_price ± (ATR × SL_Multiplier)`. When the trend inverts, the SL no longer updates, and you see it on the chart.
### I. Display and Mode Options
23. **Show Debug Lines**
* **Input type:** Boolean (default true)
* **Description:** When enabled, the indicator will plot all intermediate lines—ATR SMA, ATR Threshold, +DI, –DI, ADX (current and HTF), HTF SMA, etc.—so that you can diagnose exactly what’s happening. Turn this off to hide all debug information and only see entry/exit shapes.
24. **Enable Scalping Mode**
* **Input type:** Boolean (default false)
* **Description:** If true, many of the “base” parameters are halved (e.g., RSI length becomes 7 instead of 14, ATR length becomes 7 instead of 14, ADX length becomes 7, etc.), and the ADX threshold is multiplied by 0.8. This makes all oscillators and moving averages more reactive, suited for very short-term (scalping) setups.
---
## 2. Core Calculation Blocks
Below is a high-level description of each logical block (in code order), translated from Pine into conceptual steps.
### A. Adjust Inputs if “Scalping Mode” Is On
If **Scalping Mode** = true, then:
* `RSI_Length` becomes `max(1, round(Base_RSI_Length / 2))`
* `EMA_Length` becomes `max(1, round(Base_EMA_Length / 2))`
* `ATR_Length` becomes `max(1, round(Base_ATR_Length / 2))`
* `Price_Change_Period` becomes `max(1, round(Base_Price_Change_Period / 2))`
* `SMA_Long_Length`, `SMA_Short1_Length`, and `SMA_Short2_Length` are each halved (minimum 1).
* `ADX_Length` = `max(1, round(Base_ADX_Length / 2))`
* `ADX_Threshold` = `Base_ADX_Threshold × 0.8`
* `Cooldown_Bars` = `max(0, round(Base_Cooldown_Bars / 2))`
Otherwise, all adjusted lengths = their base values.
### B. RSI, EMA & “AI Score” on Current Timeframe
1. **Compute RSI:**
* Uses the (possibly adjusted) `RSI_Length`.
* Denote this as `RSI_Value`.
2. **Compute ATR & Its SMA:**
* `ATR_Value` = `ta.atr(ATR_Length)`.
* `ATR_SMA` = `ta.sma(ATR_Value, ATR_SMA_Length)`.
* Then define `Volatility_Increase` = (`ATR_Value > ATR_SMA`).
* If the volatility has increased, the weighting of RSI vs. EMA changes.
3. **Compute Weights:**
* If `Volatility_Increase == true`, then:
* `RSI_Weight = 0.7`
* `EMA_Weight = 0.3`
* Otherwise:
* `RSI_Weight = 0.3`
* `EMA_Weight = 0.7`
4. **RSI Signal Component (`RSI_Sig`):**
* If `RSI_Value > RSI_Overbought`, then `RSI_Sig = –1`.
* Else if `RSI_Value < RSI_Oversold`, then `RSI_Sig = +1`.
* Otherwise, `RSI_Sig = 0`.
5. **EMA Value & Signal Component (`EMA_Sig`):**
* `EMA_Value` = `ta.ema(close, EMA_Length)`.
* `EMA_Sig = +1` if the current close crosses **above** the EMA; `EMA_Sig = –1` if the current close crosses **below** the EMA; else `0`.
6. **Compute Raw “AI Score”:**
$$
Raw\_AI = (RSI\_Sig \times RSI\_Weight)\;+\;(EMA\_Sig \times EMA\_Weight)
$$
Then,
$$
AI\_Score = \frac{Raw\_AI}{(RSI\_Weight + EMA\_Weight)}
$$
(This normalization ensures the score always ranges between –1 and +1 if both weights sum to 1.)
### C. Dynamic ATR Multiplier & Volatility Filter
1. **Volatility Factor:**
$$
Volatility\_Factor = \frac{ATR\_Value}{ATR\_SMA}
$$
2. **Dynamic ATR Multiplier:**
$$
ATR\_Multiplier = ATR\_Multiplier\_Base \times \sqrt{Volatility\_Factor}
$$
3. **High Volatility Condition (`High_Volatility`):**
* If `Disable_Volatility_Filter == true`, then treat `High_Volatility = true` always.
* Else, `High_Volatility = (ATR_Value > ATR_SMA × ATR_Multiplier)`.
### D. Price Change Percentage
* **Compute Price Change:**
$$
Price\_Change = \frac{(Close - Close )}{Close } \times 100
$$
* This is the percent return from `Price_Change_Period` bars ago to now.
* For a valid long‐trend signal, we require `Price_Change > 0`; for a short trend, `Price_Change < 0`.
### E. Local SMAs for Trend/Reversal Filters
* `SMA_Close_Long` = `ta.sma(close, SMA_Long_Length)`.
* `SMA_Close_Short1` = `ta.sma(close, SMA_Short1_Length)`.
* `SMA_Close_Short2` = `ta.sma(close, SMA_Short2_Length)`.
These three SMAs help define the “local trend” and reversal breakout points:
* **Primary Trend Filter:**
* Price must be above `SMA_Close_Long` for an uptrend filter, or below `SMA_Close_Long` for a downtrend filter.
* **Reversal Filter:**
* A bullish reversal is detected if **(RSI < Oversold AND close crosses above EMA)** OR **(RSI < Oversold AND close crosses above SMA\_Close\_Short1)**.
* A bearish reversal is detected if **(RSI > Overbought AND close crosses below EMA)** OR **(RSI > Overbought AND close crosses below SMA\_Close\_Short1)**.
### F. Manual +DI, –DI & ADX on Current Timeframe
Instead of relying on the built-in `ta.adx`, the script calculates DI and ADX manually. This makes it easier to replicate the exact logic on a higher timeframe via `request.security`. The steps are:
1. **Directional Movement (DM) Components:**
* `Up_Move` = `high – high `
* `Down_Move` = `low – low`
* `Plus_DM` = `Up_Move` if (`Up_Move > Down_Move` AND `Up_Move > 0`), else `0`
* `Minus_DM` = `Down_Move` if (`Down_Move > Up_Move` AND `Down_Move > 0`), else `0`
2. **True Range (TR) Components:**
* `TR1` = `high – low`
* `TR2` = `abs(high – close )`
* `TR3` = `abs(low – close )`
* `True_Range` = `max(TR1, TR2, TR3)`
3. **Smoothed Averages (RMA):**
* `Sm_TR` = `ta.rma(True_Range, ADX_Length)`
* `Sm_Plus` = `ta.rma(Plus_DM, ADX_Length)`
* `Sm_Minus`= `ta.rma(Minus_DM, ADX_Length)`
4. **Compute DI%:**
$$
Plus\_DI = \frac{Sm\_Plus}{Sm\_TR} \times 100,\quad
Minus\_DI = \frac{Sm\_Minus}{Sm\_TR} \times 100
$$
5. **DX and ADX:**
$$
DX = \frac{|Plus\_DI - Minus\_DI|}{Plus\_DI + Minus\_DI} \times 100,\quad
ADX = ta.rma(DX, ADX_Length)
$$
These values are referred to as `(plus_di, minus_di, adx_val)` for the current timeframe.
---
## 3. Higher Timeframe (HTF) Confirmation Function
If **Use Higher Timeframe Confirmation** is enabled, the script calls a single helper (Pine) function `f_htf` with two parameters: the ADX length and the SMA length (both taken from the “base” or “scaled” values). Internally, `f_htf` simply reruns the manual DI/ADX logic (same as above) on the higher timeframe’s bar data, and also includes that timeframe’s closing price and its SMA for trend comparison.
* **Request.Security Call:**
```
= request.security(
syminfo.tickerid,
higher_tf,
f_htf(adx_length, sma_long_len),
lookahead=barmerge.lookahead_off
)
```
* `lookahead=barmerge.lookahead_off` ensures that no HTF value “paints” early; you always see only confirmed HTF bars.
* The returned tuple provides:
1. `ht_close` = HTF closing price
2. `ht_sma` = HTF SMA of length `sma_long_len`
3. `ht_pdi` = HTF +DI percentage
4. `ht_mdi` = HTF –DI percentage
5. `ht_adx` = HTF ADX value
---
## 4. Trend & Reversal Filters (Current & HTF)
### A. Current-Timeframe Trend Filter
1. **Uptrend\_Basic (Current TF)**
$$
(plus\_di > minus\_di)\;\land\;(adx\_val > ADX\_Threshold)\;\land\;(close > SMA\_Close\_Long)
$$
2. **Downtrend\_Basic (Current TF)**
$$
(minus\_di > plus\_di)\;\land\;(adx\_val > ADX\_Threshold)\;\land\;(close < SMA\_Close\_Long)
$$
3. **Trend Confirmation by Bars:**
* `Bars_Since_Below` = number of bars since `close <= SMA_Close_Long`.
* `Bars_Since_Above` = number of bars since `close >= SMA_Close_Long`.
* If `Uptrend_Basic == true` AND `Bars_Since_Below ≥ Trend_Confirmation_Bars` → mark `Uptrend_Confirm = true`.
* If `Downtrend_Basic == true` AND `Bars_Since_Above ≥ Trend_Confirmation_Bars` → mark `Downtrend_Confirm = true`.
### B. Reversal Filters (Current TF)
1. **Bullish Reversal (`Rev_Bullish`):**
* If `(RSI < RSI_Oversold AND close crosses above EMA_Value)` OR
`(RSI < RSI_Oversold AND close crosses above SMA_Close_Short1)`
→ then `Rev_Bullish = true`.
2. **Bearish Reversal (`Rev_Bearish`):**
* If `(RSI > RSI_Overbought AND close crosses below EMA_Value)` OR
`(RSI > RSI_Overbought AND close crosses below SMA_Close_Short1)`
→ then `Rev_Bearish = true`.
### C. Higher-Timeframe Trend Filter (HTF)
1. **HTF Uptrend (`HT_Uptrend`):**
$$
(ht\_pdi > ht\_mdi)\;\land\;(ht\_adx > ADX\_Threshold)\;\land\;(ht\_close > ht\_sma)
$$
2. **HTF Downtrend (`HT_Downtrend`):**
$$
(ht\_mdi > ht\_pdi)\;\land\;(ht\_adx > ADX\_Threshold)\;\land\;(ht\_close < ht\_sma)
$$
3. **Combine Current & HTF:**
* If **Use\_HTF\_Confirmation == true**, then:
* `Uptrend_Confirm := Uptrend_Confirm AND HT_Uptrend`
* `Downtrend_Confirm := Downtrend_Confirm AND HT_Downtrend`
* Otherwise, just use the current timeframe’s `Uptrend_Confirm` and `Downtrend_Confirm`.
4. **Define `CurrentTrend` (Integer):**
* `CurrentTrend = +1` if `Uptrend_Confirm == true`.
* `CurrentTrend = –1` if `Downtrend_Confirm == true`.
* Otherwise, `CurrentTrend = 0`.
5. **Reset “One Trade Per Trend”:**
* There is a persistent variable `LastTradeTrend`.
* Every time `CurrentTrend` flips (i.e., `CurrentTrend != CurrentTrend `), the code sets `LastTradeTrend := 0`.
* That allows one new entry once the detected trend has changed.
---
## 5. One‐Time “Cooldown” Logic
* **`LastSignalBar`**
* A persistent integer (initially undefined).
* After each confirmed long or short entry, `LastSignalBar` is set to the bar index where that signal fired.
* **`Bars_Since_Signal`**
* If `LastSignalBar` is undefined, treat as a very large number (so that initial signals are always allowed).
* Otherwise, `Bars_Since_Signal = bar_index – LastSignalBar`.
* **Cooldown Check:**
* A new long (or short) can only be generated if `(Bars_Since_Signal > Signal_Cooldown)`.
* This prevents multiple signals in rapid succession.
---
## 6. Entry Conditions (No Repaint)
All of the conditions below are calculated “intrabar,” but the script only actually registers a **signal** on **bar close** (`barstate.isconfirmed`) so that signals never repaint.
### A. Trend‐Based “Raw” Conditions
1. **Trend\_Long\_Raw:**
$$
(AI\_Score > AI\_Score\_Threshold)\;\land\;Uptrend\_Confirm\;\land\;High\_Volatility\;\land\;(Price\_Change > 0)
$$
2. **Trend\_Short\_Raw:**
$$
(AI\_Score < -AI\_Score\_Threshold)\;\land\;Downtrend\_Confirm\;\land\;High\_Volatility\;\land\;(Price\_Change < 0)
$$
### B. Reversal “Raw” Conditions
1. **Rev\_Long\_Raw:**
$$
Rev\_Bullish\;\land\;(CurrentTrend \neq +1)
$$
2. **Rev\_Short\_Raw:**
$$
Rev\_Bearish\;\land\;(CurrentTrend \neq -1)
$$
### C. Combine Raw Signals
* `Raw_Long = Trend_Long_Raw OR Rev_Long_Raw`.
* `Raw_Short = Trend_Short_Raw OR Rev_Short_Raw`.
### D. Confirmed Long/Short Signal Flags
On each new bar **close** (`barstate.isconfirmed == true`):
* **Long\_Signal\_Confirmed** can fire if:
1. `Raw_Long == true`
2. `LastTradeTrend != +1` (we haven’t already taken a long in this same trend)
3. `Bars_Since_Signal > Signal_Cooldown`
If all three hold, then on this bar close the code sets:
* `Long_Signal = true`
* `LastTradeTrend := +1`
* `LastSignalBar := bar_index`
Otherwise, `Long_Signal := false` on this bar.
* **Short\_Signal\_Confirmed** works the same way but with `Raw_Short`, `LastTradeTrend != -1`, etc.
If triggered, it sets `Short_Signal = true`, `LastTradeTrend := -1`, and `LastSignalBar := bar_index`. Otherwise `Short_Signal := false`.
* **Important:** If the bar is still forming (`else` branch of `barstate.isconfirmed`), then both `Long_Signal` and `Short_Signal` are forced to `false`. This guarantees that no shape or alert appears until the bar actually closes.
---
## 7. Plotting Entry/Exit Shapes
1. **Trend Long Signal (Triangle Up)**
* Condition: `Long_Signal == true` **AND** `Trend_Long_Raw == true`.
* Appearance: A small, semi-transparent lime green triangle drawn **below** the bar.
2. **Trend Short Signal (Triangle Down)**
* Condition: `Short_Signal == true` **AND** `Trend_Short_Raw == true`.
* Appearance: A small, semi-transparent maroon triangle drawn **above** the bar.
3. **Reversal Long Signal (Circle)**
* Condition: `Long_Signal == true` **AND** `Rev_Long_Raw == true`.
* Appearance: A tiny, more transparent green circle drawn **below** the bar.
4. **Reversal Short Signal (Circle)**
* Condition: `Short_Signal == true` **AND** `Rev_Short_Raw == true`.
* Appearance: A tiny, more transparent red circle drawn **above** the bar.
Since `Long_Signal` and `Short_Signal` only ever become true at bar close, these shapes are never repainted or removed once drawn.
---
## 8. Unified Alert Message
* As soon as a new bar closes with either `Long_Signal` or `Short_Signal == true`, an alert message is sent:
* If `Long_Signal`, then `alert_msg = "action=BUY"`.
* If `Short_Signal`, then `alert_msg = "action=SELL"`.
* If neither, `alert_msg = ""` (no alert).
* The code calls `alert(alert_msg, freq=alert.freq_once_per_bar)` only if `barstate.isconfirmed` and `alert_msg` is non‐empty. This ensures exactly one alert per confirmed bar, no intrabar pops.
---
## 9. Dynamic TP/SL Logic (Minimal Implementation)
Once a long or short position is “open,” the script tracks these variables:
1. **Persistent Flags and Prices** (all persist between bars until reset):
* `InLong` (Boolean)
* `InShort` (Boolean)
* `Long_Max` (Float)
* `Short_Min` (Float)
* `Entry_Price` (Float)
2. **On Bar Close:**
* If `Long_Signal == true` →
* Set `InLong := true`,
* `Entry_Price := close` of that bar,
* `Long_Max := high ` (last bar’s high, so that we’re not using “future” data).
* If `Short_Signal == true` →
* Set `InShort := true`,
* `Entry_Price := close`,
* `Short_Min := low `.
3. **While `InLong == true`:**
* Continuously update `Long_Max = max(Long_Max, current high)` on each bar (intrabar, but finalized each close).
* Compute a dynamic SL:
$$
SL_{Long} = Entry\_Price - (ATR \times SL\_ATR\_Multiplier).
$$
* If **current trend** flips to non-uptrend (`CurrentTrend != +1`), mark `ExitLong = true`.
* Then the routine plots `TP_Long = Long_Max` as a cross (“X”) at that level.
* Set `InLong := false` so that no further changes to `Long_Max` or `Entry_Price` happen on future bars.
4. **While `InShort == true`:**
* Continuously update `Short_Min = min(Short_Min, current low)`.
* Compute a dynamic SL:
$$
SL_{Short} = Entry\_Price + (ATR \times SL\_ATR\_Multiplier).
$$
* If trend flips to non-downtrend (`CurrentTrend != –1`), mark `ExitShort = true`.
* Then the routine plots `TP_Short = Short_Min`.
* Set `InShort := false` to freeze those values.
5. **Plotting TP/SL if “Show Debug” is On:**
* **TP Shapes:**
* When `ExitLong == true`, plot a solid lime “X” at `TP_Long` (highest high).
* When `ExitShort == true`, plot a solid maroon “X” at `TP_Short` (lowest low).
* **SL Lines:**
* If still `InLong`, draw a thin red line at `SL_Long` on each bar.
* If still `InShort`, draw a thin green line at `SL_Short`.
Thus, your charts visually show the highest‐high take-profit cross for longs, the lowest-low take-profit cross for shorts, and a continuously updating trailing SL until the trend flips. Because all of this is triggered on confirmed bars, nothing “jumps around” after the fact.
---
## 10. Debug‐Only Plot Lines (When Enabled)
When **Show Debug Lines** = true, the indicator will also plot:
1. **ATR SMA (Orange):**
* The simple moving average of ATR over `ATR_SMA_Length`.
2. **ATR Threshold (Yellow):**
* `ATR_SMA × ATR_Multiplier` (the dynamically scaled threshold).
3. **+DI & –DI (Current TF):**
* +DI plotted as a green line, –DI plotted as a red line (opacity \~70%).
4. **ADX (Current TF, Blue):**
* A blue line for the present timeframe’s ADX.
5. **ADX Threshold (Gray):**
* A horizontal gray line showing `ADX_Threshold`.
6. **+DI & –DI (HTF, Darker Colors):**
* If HTF confirmation is on, “HTF +DI” is a greener but more transparent line; “HTF –DI” is a redder but more transparent line.
7. **ADX (HTF, Blue but Transparent):**
* HTF ADX plotted in blue (high transparency).
8. **HTF SMA (Orange, Transparent):**
* The higher timeframe’s SMA (same length as `SMA_Long_Length`), drawn in fainter orange.
9. **Volatility Zone Fill (Yellow Tinted Area):**
* Fills the area between `ATR_SMA` and `ATR_SMA × ATR_Multiplier`.
* Indicates “normal” versus “high‐volatility” regimes.
These debug lines are purely visual aids. Disable them if you want a cleaner chart.
---
## 11. Putting It All Together — Step-By-Step Flow
1. **Read Inputs** (RSI lengths, EMA length, ATR settings, etc.).
2. **Optionally Halve All Lengths** if “Scalping Mode” is checked.
3. **Calculate Current TF Indicators:**
* RSI, ATR, ATR\_SMA, EMA, price change, various SMAs, DI/ADX.
4. **Compute “AI Score”** (weighted sum of RSI and EMA signals).
5. **Compute Dynamic ATR Multiplier** and decide if “High Volatility” is true.
6. **Compute Raw Trend/Reversal Conditions** on the current timeframe (without triggering yet).
7. **Fetch HTF Values** in one `request.security` call (SMAs, DI/ADX).
8. **Combine Current & HTF Trend Filters** to confirm `Uptrend_Confirm` or `Downtrend_Confirm`.
9. **Check Reversal Conditions** (price crossing EMA or SMA short, in overbought/oversold zones).
10. **Enforce “One Trade Per Trend”** (clear `LastTradeTrend` whenever `CurrentTrend` flips).
11. **Enforce Cooldown** (must wait at least `Signal_Cooldown` bars since the prior signal).
12. **On Bar Close:**
* If `Raw_Long` AND not already in a long trend AND cooldown met, then fire `Long_Signal`.
* Else if `Raw_Short` AND not already in a short trend AND cooldown met, then fire `Short_Signal`.
* Otherwise, no new signal on this bar.
13. **Plot Long/Short Entry Shapes** according to whether it was a Trend signal or a Reversal signal.
14. **Send Alert** (“action=BUY” or “action=SELL”) exactly once per confirmed bar.
15. **If New Long/Short Signal, Set `InLong`/`InShort`, Record Entry Price, Initialize `Long_Max`/`Short_Min`.**
16. **While `InLong` is true:** Update `Long_Max = max(previous Long_Max, current high)`. Compute `SL_Long`. If the current trend flips (no longer uptrend), set `ExitLong = true`, plot a “TP X,” and close the position logic.
17. **While `InShort` is true:** Similarly update `Short_Min`, compute `SL_Short`, and if trend flips, set `ExitShort = true`, plot a “TP X,” and close the position logic.
18. **Optionally Display Debug Lines** (ATR SMA, ATR threshold, DI/ADX, HTF DI/ADX, etc.).
---
## 12. How to Use in TradingView Community
When you publish this indicator to the TradingView community—choosing “Protected” or “Invite-only” visibility—you can paste the above description into the “Description” field. Users will see exactly what each input does, how signals are generated, and what the various plotted lines represent, **without ever seeing the script source**. In this way, the code itself remains hidden but the logic is fully documented.
1. **Go to “Create New Indicator”** on TradingView.
2. **Paste Your Pine Code** (the full indicator script) in the Pine editor and save it.
3. **Set Visibility = Protected** (or Invite-only).
4. **In the “Description” Text Box, paste the entirety of this document** (steps 1–11).
5. **Click “Publish Script.”**
Users who view your indicator will see its name (“AI Strat Adaptive v3 (NoRepaint)”), a list of all inputs (with default values), and the detailed English description above. They can then load it on any chart, adjust inputs, and see the plotted signals, TP/SL lines, and optional debug overlays—without accessing the underlying Pine code.
---
### Summary of Key Points
* **RSI, EMA, ATR, DI/ADX, and “AI Score”** work together to define “trend vs. reversal.”
* **Dynamic volatility filter** uses ATR and ATR\_SMA to adapt the weighting of RSI vs. EMA and decide whether “volatility is high enough” to permit a trend trade.
* **One trade per detected trend** and a **cooldown period** prevent over‐trading.
* **Higher timeframe confirmation** (optional) further filters out noise.
* **No-repaint logic**:
* All signals only appear at bar close (`barstate.isconfirmed`).
* HTF values are fetched with `lookahead=barmerge.lookahead_off`.
* **Entry shapes** (triangles and circles) clearly mark trend vs. reversal entries.
* **Dynamic TP/SL**: highest‐high (or lowest‐low) since entry is used as TP, ATR×multiplier as SL.
* **Debug mode** (optional) shows every intermediate line for full transparency.
Use this description verbatim (or adapt it slightly for your personal style) when publishing. That way, your community sees exactly how each component works—inputs, functions, filters—while the Pine source code remains private.
LE LevelsGENERAL OVERVIEW:
The LE Levels indicator plots yesterday’s high/low and today’s pre-market high/low directly on your chart, then layers signal logic around those levels and a set of EMA waves. You can choose “Inside” setups, “Outside” setups, or both. You can also pick entries that trigger at levels, entries that trigger off the EMA wave, or both.
This indicator was developed by Flux Charts in collaboration with Ellis Dillinger (Ellydtrades).
What is the purpose of the indicator?:
The purpose of the LE Levels indicator is to give traders a clear view of how price is behaving around key session levels and EMA structure. It follows the same model EllyD teaches by showing where price is relative to the Previous Day High and Low and the Pre-Market High and Low, then printing signals when specific reactions occur around those levels.
What is the theory behind the indicator?:
The theory behind the LE Levels indicator is based on the concept of inside and outside days. An inside day occurs when price trades within the previous day’s high and low, signaling compression and potential breakout conditions. An outside day occurs when price moves beyond those boundaries, confirming expansion and directional bias. When price trades above the PDH or PMH, it reflects bullish control and potential continuation if supported by volume and momentum. When price trades below the PDL or PML, it shows bearish control and possible downside continuation. The idea is to combine this logic with tickers that have catalysts or news, since these events often bring higher-than-normal volume.
LE SCANNER FEATURES:
Key Levels
Signals
EMA Waves
Key Levels:
The LE Levels indicator automatically plots four key levels each day:
Previous Day High (PDH)
Previous Day Low (PDL)
Pre-Market High (PMH)
Pre-Market Low (PML)
🔹How are Key Levels used in the indicator?:
The key levels are a crucial factor in determining if the trend is bullish, bearish, or neutral trend bias. The indicator uses the key levels as a condition for identifying inside or outside setups (explained below). After determining a trend bias and setup type, the indicator prints long and short entry signals based on how price interacts with the key levels and 8 EMA Wave. (explained below).
These levels define where price previously reacted or reversed, helping traders visualize how current price action relates to prior session structure. They update automatically each day and pre-market session, allowing traders to see if price is trading inside, above, or below prior key ranges without manually drawing them.
Please Note: Pre-market times are based on U.S. market hours (Eastern Standard Time) and may vary for non-U.S. tickers or exchanges.
🔹Previous Day High (PDH):
The PDH marks the highest price reached during the previous regular trading session. It shows where buyers pushed price to its highest point before the market closed. This value is automatically pulled from the daily chart and projected forward onto intraday timeframes.
🔹Previous Day Low (PDL):
The PDL marks the lowest price reached during the previous regular trading session. It shows where selling pressure reached its lowest point before buyers stepped in. Like the PDH, this level is retrieved from the prior day’s data and extended into the current session.
🔹Pre-Market High (PMH):
The PMH is the highest price reached between 4:00 AM and 9:29 AM EST, before the regular market open. It shows how far buyers managed to push price up during the pre-market session.
🔹Pre-Market Low (PML):
The PML is the lowest price reached between 4:00 AM and 9:29 AM EST, before the regular market open. It shows how far sellers were able to drive price down during the pre-market session.
🔹Customization Options:
Extend Levels:
Extends each plotted line a user-defined number of bars into the future, keeping them visible even as new candles print. This helps maintain a clear visual reference as the session progresses.
Extend PDH/L Left & Extend PMH/L Left:
These settings let you extend the Previous Day and Pre-Market levels back to their origin point, so you can see exactly where each level was formed on the prior trading day. This makes it easy to understand the context of each level and how it developed. When this option is disabled, the lines begin at the regular session open instead of extending backward into the previous day’s data.
Show Name / Show Price:
Enabling Show Name displays labels (PDH, PDL, PMH, PML) beside each line, while Show Price adds the exact price value. You can choose to show just the name, just the price, or both for a complete label format.
Line Color and Style:
Each level can be fully customized. You can change the line color and select between solid, dashed, or dotted styles to visually distinguish each level type.
At the bottom of the indicator settings, under the ‘Miscellaneous’ section, two additional options allow further control over how levels are displayed:
Hide Previous Day Highs/Lows:
When enabled, the previous day’s high and low levels aren’t shown. When disabled, users can view previous day levels without using replay mode. By default, this setting is enabled.
Disabled:
Enabled:
Hide Previous Pre-Market Highs/Lows:
When enabled, the previous pre-market high and low levels aren’t shown. When disabled, users can view previous pre-market levels without using replay mode. By default, this setting is enabled.
Disabled:
Enabled:
Signals:
The LE Levels indicator automatically prints long and short entry signals based on how price interacts with its key levels (PDH, PDL, PMH, PML) and the EMA Waves. It identifies moments when price either breaks out beyond prior ranges or retests those levels in alignment with momentum shown by the EMA Waves.
There are two types of setups (Inside and Outside) and two entry types ((L)evels and (E)MAs). Together, these settings allow traders to customize the type of structure the indicator recognizes and how signals are generated.
🔹What is an Inside Setup?
An Inside Setup occurs when the current trading session forms entirely within the previous day’s range, meaning price has not yet broken above the Previous Day High (PDH) or below the Previous Day Low (PDL). In the LE Levels indicator, inside setups are recognized when price trades within the previous day’s boundaries while also considering the pre-market range (Pre-Market High and Pre-Market Low).
Inside Setups have two main conditions, depending on directional bias:
Bullish Inside Setup:
Price trades above the Pre-Market High (PMH) and above the Previous Day Low (PDL), while still below the Previous Day High (PDH).
Bearish Inside Setup:
Price trades below the Pre-Market Low (PML) and below the Previous Day High (PDH), while still above the Previous Day Low (PDL).
🔹What is an Outside Setup?
An Outside Setup occurs when the current trading session extends beyond the previous day’s range, meaning price has broken above the Previous Day High (PDH) or below the Previous Day Low (PDL). This structure reflects expansion and directional control, showing that either buyers or sellers have taken price into new territory beyond the prior session’s boundaries.
In the indicator, an Outside Setup forms once price closes beyond both the previous day and pre-market boundaries, showing bias in one direction.
Bullish Outside Setup:
Price closes above both the PDH and the PMH, confirming buyers have pushed through every key resistance from the prior session and the pre-market.
Bearish Outside Setup:
Price closes below both the PDL and the PML, showing sellers have pushed price beneath all key support levels from the previous session and the pre-market.
🔹Entry Types: (L)evels and (E)MAs
Once a setup type (Inside or Outside) has been established, the LE Levels indicator generates trade signals using one of two entry confirmation methods: (L) for Key Level based Entries and (E) for EMA Wave based Entries. These determine how the signal prints and what triggers it within.
🔹(L)evels Entry:
The (L)evels entry type is built around how price reacts to the key levels (PDH, PDL, PMH, PML). It prints when price retests those levels during an active setup. The logic focuses on retests, where price returns to confirm a previous breakout or breakdown before continuing in the same direction.
Bullish Outside (L)evels Setup:
A Bullish Outside Setup forms when price breaks above both the PDH and PMH. Once this breakout occurs, the indicator waits for a pullback to one of those levels. For a signal to print, the 8 EMA Wave must also be near that level, showing momentum is supporting the structure. A small buffer is applied between price and the level so that even if price only comes close, without fully touching, the retest still counts. When price holds above the PDH or PMH with the 8 EMA nearby, the indicator prints an (L) ▲ entry.
Bearish Outside (L)evels Setup:
A Bearish Outside Setup forms when price breaks below both the PDL and PML. Once this breakdown occurs, the indicator waits for a pullback to one of those levels. For a signal to print, the 8 EMA Wave must also be near that area, confirming momentum is aligned with the move. A small buffer is included so that even if price comes close but doesn’t fully touch the level, the retest still qualifies. When price holds below the PDL or PML with the 8 EMA nearby, the indicator prints an (L) ▼ entry.
Bullish Inside (L)evels Setup:
A Bullish Inside Setup forms when price trades above the PMH but stays below the PDH and above the PDL. Once this condition is met, the indicator waits for a pullback to the PMH. For a signal to print, the 8 EMA Wave must also be near that level. A small buffer is applied so that even if price only comes close to the level, the retest still counts. When price holds above the PMH with the 8 EMA nearby, the indicator prints an (L) ▲ entry.
Bearish Inside (L)evels Setup:
A Bearish Inside Setup forms when price trades below the PML but stays above the PDL and below the PDH. Once this condition is met, the indicator waits for a pullback to the PML. For a signal to print, the 8 EMA Wave must also be near that level. A small buffer is applied so that even if price only comes close, the retest still counts. When price holds below the PML with the 8 EMA nearby, the indicator prints an (L) ▼ entry.
🔹(E)MAs Entry:
The (E)MA Entry type focuses on how price reacts to the 8 EMA Wave. It identifies when price first interacts with the EMAs, then confirms continuation once momentum resumes in the setup’s direction. The first candle that touches the EMA prints an (E) marker, and the confirmation signal triggers only after price breaks above or below that candle, depending on the bias.
Bullish Outside (E)MA Setup:
A Bullish Outside Setup forms when price is trading above both the PDH and PMH. Once this breakout occurs, the indicator waits for price to pull back and touch the 8 EMA Wave, which prints the initial (E) label. If price then breaks above that candle’s high, the continuation setup is confirmed.
Bearish Outside (E)MA Setup:
A Bearish Outside Setup forms when price is trading below both the PDL and PML. After the breakdown, the indicator waits for price to pull back to the 8 EMA Wave, marking the candle that touches it with an (E) label. If price then breaks below that candle’s low, the continuation setup is confirmed.
Bullish Inside (E)MA Setup:
A Bullish Inside Setup forms when price trades above the PMH but remains below the PDH and above the PDL. The indicator waits for price to retrace and touch the 8 EMA Wave, which prints the initial (E) label. If price then breaks above that candle’s high, the continuation setup is confirmed.
Bearish Inside (E)MA Setup:
A Bearish Inside Setup forms when price trades below the PML but remains above the PDL and below the PDH. Once price touches the 8 EMA Wave, the indicator prints an (E) marker. If price then breaks below that candle’s low, the continuation setup is confirmed.
🔹Signal Settings:
At the bottom of the indicator settings panel, three core controls define how signals are displayed and which setups the indicator actively scans for. These settings allow you to refine signal generation based on your trading approach and chart preference.
Setup Type:
This setting determines which structural conditions the indicator tracks.
Inside Setups: Signals only appear when price is trading within the previous day’s range (between PDH and PDL).
Outside Setups: Signals only appear when price breaks outside the previous day’s range (above PDH/PMH or below PDL/PML).
Both: Enables signals for both Inside and Outside setups.
Entry Type:
Controls how the indicator confirms entries.
(E)MAs: Prints signals based on price interacting with the 8 EMA Wave.
(L)evels: Prints signals based on price retesting key levels such as PDH, PDL, PMH, or PML.
Both: Allows both EMA and Level-based signals to appear on the same chart.
Signal Filters (Long, Short, and Re-Entry):
These toggles let you control which trade directions are active.
Long: Displays only bullish entries and ignores all short setups.
Short: Displays only bearish entries and ignores long setups.
Re-Entry: Enables or disables repeated signals in the same direction after the first valid setup has printed. When off, only the initial signal is shown until conditions reset.
EMA Waves:
The EMA Waves help identify potential entries and show directional bias. They’re made of grouped EMAs that form shaded areas to create a “wave” look. The color-coding on the waves allows users to view when price is consolidating, in a bullish trend, or in a bearish trend. The wave updates in real time as new candles form and does not repaint historical data.
🔹8 EMA Wave
The 8 EMA Wave is used directly in the indicator’s signal logic described earlier. It reacts fastest to price compared to the other EAM Waves and determines when (L) and (E) signals can trigger.
How It Works:
The wave is made from the 8, 9, and 10 EMAs and fills the space between them to create a “wave” look. The 8 EMA Wave continuously updates its color based on where price trades relative to the key levels (PDH, PDL, PMH, PML). The color changes are conditional and based solely on price position relative to key levels.
Price is above both PDH and PMH: The wave is bright green, and the top half is purple.
Price is between PDH and PMH: The wave is dark green, and the top half is purple.
Price is below both PDL and PML: The wave is bright red, and the bottom half is purple.
Price is between PDL and PML: The wave is dark red, and the bottom half is purple.
Price is between all four levels: The wave is gray to represent consolidation or neutral bias.
🔹8 EMA Wave Signal Function:
For (L)evels entries, the 8 EMA must be close to the key level being retested, with a small buffer that allows near touches to qualify.
For (E)MA entries, the first candle that touches the wave prints an (E), and the confirmation signal appears when price breaks that candle’s high or low.
🔹8 EMA Wave Customization:
Users can customize all colors for bullish, bearish, and neutral conditions directly in the settings. The purple overlay color cannot be changed, as it is hard-coded into the indicator. The 8 EMA Wave can also be toggled on or off. Turning it off only removes the visual display from the chart and does not affect signals.
🔹20 EMA Wave
The 20 EMA Wave measures medium-term momentum and helps visualize larger pullbacks. It reacts more slowly than the 8 EMA Wave, giving a smoother wave look. No signals are generated from it. It’s purely a visual guide for spotting potential pullback areas for continuation setups.
How It Works:
The wave is made from the 19, 20, and 21 EMAs and fills the space between them to create a shaded “wave.” The color updates continuously based on where price trades relative to the key levels (PDH, PDL, PMH, PML). The color changes are conditional and based only on price position relative to these levels.
Price is above both PDH and PMH: The wave is bright green, and the top half is blue.
Price is between PDH and PMH: The wave is dark green, and the top half is blue.
Price is below both PDL and PML: The wave is bright red, and the bottom half is blue.
Price is between PDL and PML: The wave is dark red, and the bottom half is blue.
Price is between all four levels: The wave is gray to represent consolidation or neutral bias.
🔹20 EMA Wave Use Case:
After 12:00 PM EST, the 20 EMA Wave is used to spot larger pullbacks that form later in the session. No signals are generated from it; it only serves as a visual guide for identifying potential continuation areas.
Bullish Continuation Pullback:
Bearish Continuation Pullback:
🔹20 EMA Wave Customization:
Users can customize all colors for bullish, bearish, and neutral conditions directly in the settings. The blue overlay color cannot be changed, as it is hard-coded into the indicator. The 20 EMA Wave can also be toggled on or off.
🔹200 EMA Wave
The 200 EMA Wave is used to determine long-term trend bias. When price is above it, the bias is bullish; when price is below it, the bias is bearish. It updates automatically in real time and is used to define the broader directional bias for the day.
How it Works:
The 200 EMA Wave is created using the 190, 199, and 200 EMAs, with the area between them shaded to form a “wave.”
🔹200 EMA Wave Use Case:
When price is above the 200 EMA Wave and both the 8 and 20 EMA Waves are stacked above it, the overall trend is bullish.
When price is below the 200 EMA Wave and both shorter-term waves are also below it, the overall trend is bearish.
🔹200 EMA Wave Customization:
Users can customize both colors that form the 200 EMA Wave. The entire wave can also be toggled on or off in the settings.
Uniqueness:
The LE Levels indicator is unique because it combines signal logic with a clear visual structure. It automatically detects inside and outside setups, printing (L) and (E) entries based on how price reacts to key levels and the EMA Waves. Each signal follows strict conditions tied to the 8 EMA and key levels. The color-coded EMA Waves make it simple to understand where price is in relation to the key levels and getting a quick trend bias overview.
ORB Dashboard for the TFLX Strategy# ORB Range/ATR Dashboard - Technical Indicator Description
## Main Function
This indicator analyzes Opening Range Breakout (ORB) patterns by calculating a defined time period and its relation to historical volatility. The indicator combines multiple technical analysis methods and presents results in a configurable dashboard format.
**Purpose:** This indicator automates the manual calculation steps of the TFLX analysis methodology, providing real-time computation of volatility ratios, trend filters, and risk management parameters that would otherwise require manual calculation and monitoring.
## Requirements and Limitations
**Additional Indicator Required:** This dashboard indicator works in conjunction with a separate ORB range visualization indicator that displays the actual high/low range levels on the chart. The dashboard provides analysis and calculations, while the range indicator provides visual reference points.
**Important Notice:** This indicator serves as an analytical tool and calculation assistant for the TFLX methodology. It does not execute trades automatically but provides data analysis to support manual decision-making processes.
## TFLX Analysis Methodology Framework
### Core Analysis Rules (Discretionary Implementation)
**Primary Conditions:**
- Market position relative to neutral zones (BB analysis)
- Volatility range between 15-60% of ATR(3)
- News event screening (high-impact economic releases)
- Market session timing constraints (before calculated session end)
- US Bank Holiday considerations
**Exception Conditions:**
- High-impact news with rebreak patterns
- Reversal patterns during neutral market conditions
### Technical Specifications of the Methodology
**Range Definition:**
- Time Period: First 15 minutes after market open
- Measurement: High-Low range calculation
- Breakout Trigger: 5-minute close outside established range
**Volatility Analysis:**
- Formula: (Range Points / ATR(3) Previous Day) × 100
- Threshold Ranges:
- <15%: Below minimum threshold
- 15-20%: Low volatility range
- 25-30%: Moderate volatility range
- 30-40%: Good volatility range
- 40-50%: High volatility range
- 50-60%: Very high volatility range
- >60%: Above maximum threshold
**News Event Categories:**
- Major Events: NFP, CPI, PPI, FOMC releases
- Minor Events: All significant economic releases during market hours
- Impact Assessment: Market reaction analysis framework
**Trend Analysis Framework (1H Bollinger Bands):**
- Base Calculation: EMA(200) with standard deviation bands
- Reference Points: Market Open, ORB Close, Trigger Bar
- Decision Logic: 2 out of 3 reference points determine bias
- Zone Classifications:
- Within 0.5 multiplier: Neutral zone
- Within 1.5 multiplier: Directional bias zone
- Outside 1.5 multiplier: Strong directional zone
**Timing Constraints:**
- Session Window: Market open to calculated session end (typically 4.5 hours)
- Retracement Analysis: Maximum adverse movement before breakeven or stop loss
**Manual Calculation Process (Automated by Indicator):**
1. Measure range in points using chart measurement tools
2. Switch to daily timeframe
3. Set ATR period to 3
4. Extract previous day's ATR value
5. Calculate: (Range Points ÷ ATR Value) × 100
6. Apply percentage thresholds for analysis
## Core Components and Calculation Methods
### 1. Opening Range Calculation
**Data Source:** High/Low/Close prices of current timeframe
**Calculation:**
- Defines a configurable time period (default: 15 minutes)
- Collects during this period: `range_high = max(high)` and `range_low = min(low)`
- Calculates Range Size: `range_size = range_high - range_low`
- Stores the last close price of the period: `final_orb_close`
### 2. ATR (Average True Range) Integration
**Data Source:** Daily True Range values
**Calculation:**
```
daily_atr = ta.atr(length) // Default 3 periods
atr_yesterday = daily_atr // Previous trading day
```
**Available Methods:** RMA (default), SMA, EMA, WMA
### 3. Volatility Ratio Calculation
**Formula:**
```
ratio = (range_size / atr_yesterday) * 100
```
**Purpose:** Normalization of current range against historical volatility
**Configurable Parameters:** Min/Max thresholds (default: 15-60%)
### 4. Bollinger Bands Integration (1H Timeframe)
**Data Source:** 1-hour chart data via `request.security()`
**Calculation:**
```
bb_ema = ta.ema(close, 200) // 1H timeframe
bb_std = ta.stdev(close, 200) // 1H timeframe
bb_upper = bb_ema + (bb_std * multiplier)
bb_lower = bb_ema - (bb_std * multiplier)
```
**Configurable Multipliers:**
- Neutral Zone: 0.5x standard deviation
- Strong Zone: 1.5x standard deviation
### 5. Trend Filter System (2/3 Method)
**Components:**
1. **NY Open Signal:** Compares 1H open price with BB levels
2. **ORB Close Signal:** Compares final ORB close with BB levels
3. **Trigger Signal:** Compares breakout price with BB levels
**Logic:**
```
if (bullish_signals >= 2) → "BULLISH"
if (bearish_signals >= 2) → "BEARISH"
else → "MIXED" or "NO TREND"
```
## Component Interaction
### Trade Signal Generation
**Algorithm:**
```
trade_allowed = (orb_ratio >= min_threshold AND orb_ratio <= max_threshold)
AND (bb_signal != "NEUTRAL")
AND (trend_filter_result contains "BULLISH" OR "BEARISH")
```
### Risk Management Calculation
**Entry Points:**
- Long Entry: `range_high`
- Short Entry: `range_low`
**Stop Loss Calculation:**
```
sl_level = range_low + (range_size * sl_position_percent / 100)
```
**Take Profit Calculation:**
```
tp_distance = range_size * tp_factor_percent / 100
long_tp = long_entry + tp_distance
short_tp = short_entry - tp_distance
```
**Position Sizing (CFD-optimized):**
```
risk_per_contract = avg_risk_points * contract_value * lot_size
max_contracts = max_risk_amount / risk_per_contract
```
**Margin Calculation (CFDs):**
```
position_value = total_units * entry_price
margin_required = position_value / leverage
```
## Dashboard Elements
### 1. Volatility Filter Section
- **ORB Range:** Current range in points
- **ATR Previous:** Yesterday's ATR values
- **ORB Ratio:** Calculated ratio with color coding
### 2. Trend Filter Section
- **NY Open vs BB:** Position of 1H open relative to BB
- **ORB Close vs BB:** Position of ORB close relative to BB
- **Trigger Bar vs BB:** Position of breakout price relative to BB
- **Trend Result:** Summary of 2/3 filter
### 3. Risk Management Section (optional)
- **R/R Ratio:** Calculated from TP/SL distances
- **Risk per Lot:** Based on instrument type
- **Max Lot Packages:** Automatic position sizing calculation
- **Margin Required:** For CFD instruments
### 4. Journal Section (optional)
- **Breakout Timing:** Categorization by bars (1-3, 4-6, 7-9, 10-12, 13+)
- **Direction Tracking:** Bullish/Bearish breakout direction
- **Position Analysis:** Distance of breakout to ORB range
## Automatic Instrument Detection
**CFD/Index Treatment:**
```
if (syminfo.type == "cfd" OR syminfo.type == "index")
contract_value = 1.0 * cfd_lot_size
```
**Forex Treatment:**
```
if (syminfo.type == "forex")
contract_value = syminfo.pointvalue * cfd_lot_size
```
**Futures/Stocks:**
```
contract_value = syminfo.pointvalue
```
## Timezone Handling
- All time calculations based on configurable timezone
- Session End Time: ORB Start + 4.5 hours
- Automatic overflow handling for 24h format
## Alert System
**ORB Formation Alert:**
- Triggered upon completion of ORB period
- Includes: Range size, high/low values
**Breakout Alert:**
- Triggered on close price outside ORB range
- Includes: Direction, trade status based on filters
## Configuration Options
- **ORB Period:** Start/end time in hours/minutes
- **ATR Parameters:** Period and calculation method
- **Volatility Thresholds:** Min/max percentage limits
- **BB Parameters:** Period and multipliers
- **Risk Management:** Risk amount, SL/TP positions
- **Dashboard Layout:** Position, size, colors, visibility
## Data Integrity
- State variables with `var` declaration for persistence
- Daily reset of all relevant variables
- Lookahead bias prevention through `barmerge.lookahead_off`
- Multi-timeframe safety through `request.security()` functions
This technical implementation provides a comprehensive analysis framework for Opening Range Breakout patterns with integrated volatility, trend, and risk management components.
coinbot_ICT_Unicorn(AUTOTRADE)1. 🎯 핵심 기능: 자동매매 신호 전송 (Webhook)
이 스크립트는 매매 신호가 발생할 때마다, 사용자가 '자동매매 설정(Autotrade Settings)'에 입력한 값들을 조합하여 구체적인 JSON 메시지를 생성하고 alert() 함수를 통해 웹훅으로 전송합니다.
입력 설정: user_id, exchange(거래소), leverage(레버리지), capital_percent(투입 시드 %), sl_percent(손절 %), 그리고 3단계 분할 익절(tp1_price_percent, tp1_qty_percent 등) 설정을 입력받습니다.
신호 종류:
ENTRY (진입): 매수(buy) 또는 매도(sell) 신호가 발생하면, 위 모든 설정값을 포함한 진입 명령을 보냅니다.
CLOSE (손절): 전략의 내부 로직에 의해 손절가에 도달하면(slAlertTick), 포지션을 종료하라는 신호를 보냅니다.
TAKE_PROFIT (익절): 목표가에 도달하면(tpAlertTick), 설정된 물량만큼 익절하라는 신호를 보냅니다.
2. 📈 작동 원리: "ICT 유니콘" 매매 전략
이 스크립트의 진입 로직은 ICT(Inner Circle Trader) 개념 중 하나인 **'유니콘 모델'**을 따릅니다.
구성 요소 식별:
Breaker Block (BB): '브레이커 블록'을 식별합니다. 이는 특정 고점/저점을 만든 후 그 방향으로 가지 못하고 반대 방향으로 돌파(Break)된 오더 블록(Order Block)입니다.
Fair Value Gap (FVG): '공정 가치 갭' (가격 불균형 영역)을 식별합니다.
핵심 진입 신호 (Unicorn): 이 전략의 핵심 진입 조건은 **Breaker Block(BB)과 Fair Value Gap(FVG)이 중첩(Overlap)**되는, 소위 '유니콘'이라 불리는 강력한 지지/저항 영역이 발생하는 것입니다.
Long (매수) 진입:
가격이 하락하며 **'하락형 브레이커 블록(Bearish Breaker Block)'**을 만듭니다.
이후 가격이 상승 돌파하며 이 브레이커 블록 영역과 중첩되는 **'상승형 FVG(Bullish FVG)'**를 생성합니다.
이 중첩 영역(FVG-BB Overlap)이 바로 매수 진입의 근거가 됩니다. (코드가 dbgRequireRetracement 설정에 따라 FVG로의 되돌림을 기다리거나 즉시 진입 신호를 보냅니다.)
Short (매도) 진입:
가격이 상승하며 **'상승형 브레이커 블록(Bullish Breaker Block)'**을 만듭니다.
이후 가격이 하락 돌파하며 이 브레이커 블록 영역과 중첩되는 **'하락형 FVG(Bearish FVG)'**를 생성합니다.
이 중첩 영역이 매도 진입의 근거가 됩니다.
3. 📊 부가 기능
시각화: 차트 상에 FVG 영역과 Breaker Block 영역을 박스로 그려주어(설정에 따라 표시/숨김 가능) 매매 근거를 시각적으로 확인할 수 있게 합니다.
백테스팅 대시보드: 차트 우측 상단(기본값)에 이 전략의 누적 성과(총 진입 횟수, 승/패, 승률, 총수익률)를 보여주는 대시보드를 표시합니다.
요약
이 스크립트는 **"Breaker Block과 FVG의 중첩(유니콘 모델)"**을 유일한 진입 조건으로 사용하는 매우 구체적인 ICT 전략입니다. 이 조건이 충족되면, 사용자가 미리 설정한 상세한 리스크 관리 값들을 담아 자동매매 봇으로 즉시 실행 가능한 주문 신호를 전송하는 '올인원(All-in-One)' 전략 스크립트입니다.
요청하신 대로, 해당 지표 요약본을 영어로 번역하여 제공합니다.
This script is an automated trading (Autotrade) strategy signal generator based on the ICT "Unicorn" trading model.
As the "AUTOTRADE" in its name implies, the core purpose of this indicator is to detect specific conditions on the chart and send JSON-formatted order signals (webhooks) to an external automated trading bot.
Here are the core mechanics and features of this script:
1. 🎯 Core Feature: Automated Signal Transmission (Webhook)
Whenever a trade signal occurs, this script generates a specific JSON message by combining the values entered by the user in the "Autotrade Settings" and sends it via webhook using the alert() function.
Input Settings: It takes inputs for user_id, exchange, leverage, capital_percent (equity %), sl_percent (stop loss %), and settings for 3-stage split take-profits (e.g., tp1_price_percent, tp1_qty_percent).
Signal Types:
ENTRY: When a "buy" or "sell" signal occurs, it sends an entry command including all the settings above.
CLOSE (Stop-Loss): If the price hits the stop loss according to the strategy's internal logic (slAlertTick), it sends a signal to close the position.
TAKE_PROFIT: When a profit target is reached (tpAlertTick), it sends a signal to take profit on the specified quantity.
2. 📈 How It Works: The "ICT Unicorn" Strategy
The script's entry logic follows the "Unicorn Model," one of the concepts from ICT (Inner Circle Trader).
Identifying Components:
Breaker Block (BB): It identifies a "Breaker Block." This is an Order Block that, after creating a specific high/low, fails to continue in that direction and is instead broken through in the opposite direction.
Fair Value Gap (FVG): It identifies a "Fair Value Gap" (a price imbalance area).
Core Entry Signal (The Unicorn): The core entry condition for this strategy is the overlap of a Breaker Block (BB) and a Fair Value Gap (FVG), which creates a powerful support/resistance zone known as the "Unicorn."
Long Entry:
Price moves down, creating a "Bearish Breaker Block."
Subsequently, price breaks upward, creating a "Bullish FVG" that overlaps with this Breaker Block area.
This overlapping area (FVG-BB Overlap) becomes the basis for the long entry. (Depending on the dbgRequireRetracement setting, the code either waits for a retracement to the FVG or sends an immediate entry signal.)
Short Entry:
Price moves up, creating a "Bullish Breaker Block."
Subsequently, price breaks downward, creating a "Bearish FVG" that overlaps with this Breaker Block area.
This overlapping area becomes the basis for the short entry.
3. 📊 Additional Features
Visualization: It draws the FVG and Breaker Block zones as boxes on the chart (can be toggled in settings), allowing for visual confirmation of the trade setup.
Backtesting Dashboard: It displays a dashboard in the top-right corner (by default) showing the strategy's cumulative performance (total entries, wins/losses, win rate, total profit).
Summary
This script is a highly specific ICT strategy that uses the "overlap of a Breaker Block and an FVG (the Unicorn Model)" as its sole entry condition. When this condition is met, it transmits an immediately executable order signal to an automated trading bot, complete with all the detailed risk management values preset by the user. It is an "all-in-one" strategy script.
Katz Exploding PowerBand FilterUnderstanding the Katz Exploding PowerBand Filter (EPBF) v2.4
1. Indicator Overview
The Katz Exploding PowerBand Filter (EPBF) is an advanced technical indicator designed to identify moments of expanding bullish or bearish momentum, often referred to as "power." It operates as a standalone oscillator in a separate pane below the main price chart.
Its primary goal is to measure underlying market strength by calculating custom "Bull" and "Bear" power components. These components are then filtered through a versatile moving average and a dual signal line system to generate clear entry and exit signals. This indicator is not a simple momentum oscillator; it uses a unique calculation based on exponential envelopes of both price and squared price to derive its values.
2. On-Chart Lines and Components
The indicator pane consists of five main lines:
Bullish Component (Thick Green/Blue/Yellow/Gray Line): This is the core of the indicator. It represents the calculated bullish "power" or momentum in the market.
Bright Green: Indicates a strong, active long signal condition.
Blue: Shows the bull component is above the MA filter, but the filter itself is still pointing down—a potential sign of a reversal or weakening downtrend.
Yellow: A warning sign that bullish power is weakening and has fallen below the primary signal lines.
Gray: Represents neutral or insignificant bullish power.
Bearish Component (Thick Red/Purple/Yellow/Gray Line): This line represents the calculated bearish "power" or downward momentum.
Bright Red: Indicates a strong, active short signal condition.
Purple: Shows the bear component is above the MA filter, but the filter itself is still pointing down—a sign of potential trend continuation.
Yellow: A warning sign that bearish power is weakening.
Gray: Represents neutral or insignificant bearish power.
MA Filter (Purple Line): This is the main filter, calculated using the moving average type and length you select in the settings (e.g., HullMA, EMA). The Bull and Bear components are compared against this line to determine the underlying trend bias.
Signal Line 1 (Orange Line): A fast Exponential Moving Average (EMA) of the stronger power component. It acts as the first level of dynamic support or resistance for the power lines.
Signal Line 2 (Lime/Gray Line): A slower EMA that acts as a confirmation filter.
Lime Green: The line turns lime when it is rising and the faster Signal Line 1 is above it, indicating a confirmed bullish trend in momentum.
Gray: Indicates a neutral or bearish momentum trend.
3. On-Chart Symbols and Their Meanings
Various characters are plotted at the bottom of the indicator pane to provide clear, actionable signals.
L (Pre-Long Signal): The first sign of a potential long entry. It appears when the Bullish Component rises and crosses above both signal lines for the first time.
S (Pre-Short Signal): The first sign of a potential short entry. It appears when the Bearish Component rises and crosses above both signal lines for the first time.
▲ (Post-Long Signal): A stronger confirmation for a long entry. It appears with the 'L' signal only if the momentum trend is also confirmed bullish (i.e., the slower Signal Line 2 is lime green).
▼ (Post-Short Signal): A stronger confirmation for a short entry. It appears with the 'S' signal only if the momentum trend is confirmed bullish.
Exit / Take-Profit Symbols:
These symbols appear when a power component crosses below a line, suggesting that momentum is fading and it may be time to take profit.
⚠️ (Exit Signal 1): The Bull/Bear component has crossed below the main MA Filter. This is the first and most sensitive take-profit signal.
☣️ (Exit Signal 2): The Bull/Bear component has crossed below the faster Signal Line 1. This is a moderate take-profit signal.
🚼 (Exit Signal 3): The Bull/Bear component has crossed below the slower Signal Line 2. This is the slowest take-profit signal, suggesting the trend is more definitively exhausted.
4. Trading Strategy and Rules
Long Entry Rules:
Initial Signal: Wait for an L to appear at the bottom of the indicator. This confirms that bullish power is expanding.
Confirmation (Recommended): For a higher-probability trade, wait for a green ▲ symbol to appear. This confirms the underlying momentum trend aligns with the signal.
Entry: Enter a long (buy) position on the opening of the next candle after the signal appears.
Short Entry Rules:
Initial Signal: Wait for an S to appear at the bottom of the indicator. This confirms that bearish power is expanding.
Confirmation (Recommended): For a higher-probability trade, wait for a maroon ▼ symbol to appear. This confirms the underlying momentum trend aligns with the signal.
Entry: Enter a short (sell) position on the opening of the next candle after the signal appears.
Take Profit (TP) Rules:
The indicator provides three levels of take-profit signals. You can choose to exit your entire position or scale out at each level.
For a long trade, exit when you see ⚠️, ☣️, or 🚼 appear below the Bullish Component.
For a short trade, exit when you see ⚠️, ☣️, or 🚼 appear below the Bearish Component.
Stop Loss (SL) Rules:
The indicator does not provide an explicit stop loss. You must use your own risk management rules. Common methods include:
Swing High/Low: For a long position, place your stop loss below the most recent significant swing low on the price chart. For a short position, place it above the most recent swing high.
ATR-Based: Use an Average True Range (ATR) indicator to set a volatility-based stop loss.
Fixed Percentage: Risk a fixed percentage (e.g., 1-2%) of your account on the trade.
5. Disclaimer
This indicator is a tool for technical analysis and should not be considered financial advice. All trading involves significant risk, and past performance is not indicative of future results. The signals generated by this indicator are probabilistic and can result in losing trades. Always use proper risk management, such as setting a stop loss, and never risk more than you are willing to lose. It is recommended to backtest this indicator and use it in conjunction with other forms of analysis before trading with real capital. The indicator should only be used for educational purposes.
EAOBS by MIGVersion 1
1. Strategy Overview Objective: Capitalize on breakout movements in Ethereum (ETH) price after the Asian open pre-market session (7:00 PM–7:59 PM EST) by identifying high and low prices during the session and trading breakouts above the high or below the low.
Timeframe: Any (script is timeframe-agnostic, but align with session timing).
Session: Pre-market session (7:00 PM–7:59 PM EST, adjustable for other time zones, e.g., 12:00 AM–12:59 AM GMT).
Risk-Reward Ratios (R:R): Targets range from 1.2:1 to 5.2:1, with a fixed stop loss.
Instrument: Ethereum (ETH/USD or ETH-based pairs).
2. Market Setup Session Monitoring: Monitor ETH price action during the pre-market session (7:00 PM–7:59 PM EST), which aligns with the Asian market open (e.g., 9:00 AM–9:59 AM JST).
The script tracks the highest high and lowest low during this session.
Breakout Triggers: Buy Signal: Price breaks above the session’s high after the session ends (7:59 PM EST).
Sell Signal: Price breaks below the session’s low after the session ends.
Visualization: The session is highlighted on the chart with a white background.
Horizontal lines are drawn at the session’s high and low, extended for 30 bars, along with take-profit (TP) and stop-loss (SL) levels.
3. Entry Rules Long (Buy) Entry: Enter a long position when the price breaks above the session’s high price after 7:59 PM EST.
Entry price: Just above the session high (e.g., add a small buffer, like 0.1–0.5%, to avoid false breakouts, depending on volatility).
Short (Sell) Entry: Enter a short position when the price breaks below the session’s low price after 7:59 PM EST.
Entry price: Just below the session low (e.g., subtract a small buffer, like 0.1–0.5%).
Confirmation: Use a candlestick close above/below the breakout level to confirm the entry.
Optionally, add volume confirmation or a momentum indicator (e.g., RSI or MACD) to filter out weak breakouts.
Position Size: Calculate position size based on risk tolerance (e.g., 1–2% of account per trade).
Risk is determined by the stop-loss distance (10 points, as defined in the script).
4. Exit Rules Take-Profit Levels (in points, based on script inputs):TP1: 12 points (1.2:1 R:R).
TP2: 22 points (2.2:1 R:R).
TP3: 32 points (3.2:1 R:R).
TP4: 42 points (4.2:1 R:R).
TP5: 52 points (5.2:1 R:R).
Example for Long: If session high is 3000, TP levels are 3012, 3022, 3032, 3042, 3052.
Example for Short: If session low is 2950, TP levels are 2938, 2928, 2918, 2908, 2898.
Strategy: Scale out of the position (e.g., close 20% at TP1, 20% at TP2, etc.) or take full profit at a preferred TP level based on market conditions.
Stop-Loss: Fixed at 10 points from the entry.
Long SL: Session high - 10 points (e.g., entry at 3000, SL at 2990).
Short SL: Session low + 10 points (e.g., entry at 2950, SL at 2960).
Trailing Stop (Optional):After reaching TP2 or TP3, consider trailing the stop to lock in profits (e.g., trail by 10–15 points below the current price).
5. Risk Management per Trade: Limit risk to 1–2% of your trading account per trade.
Calculate position size: Account Size × Risk % ÷ (Stop-Loss Distance × ETH Price per Point).
Example: $10,000 account, 1% risk = $100. If SL = 10 points and 1 point = $1, position size = $100 ÷ 10 = 0.1 ETH.
Daily Risk Limit: Cap daily losses at 3–5% of the account to avoid overtrading.
Maximum Exposure: Avoid taking both long and short positions simultaneously unless using separate accounts or strategies.
Volatility Consideration: Adjust position size during high-volatility periods (e.g., major news events like Ethereum upgrades or macroeconomic announcements).
6. Trade Management Monitoring :Watch for breakouts after 7:59 PM EST.
Monitor price action near TP and SL levels using alerts or manual checks.
Trade Duration: Breakout lines extend for 30 bars (script parameter). Close trades if no TP or SL is hit within this period, or reassess based on market conditions.
Adjustments: If the market shows strong momentum, consider holding beyond TP5 with a trailing stop.
If the breakout fails (e.g., price reverses before TP1), exit early to minimize losses.
7. Additional Considerations Market Conditions: The 7:00 PM–7:59 PM EST session aligns with the Asian market open (e.g., Tokyo Stock Exchange open at 9:00 AM JST), which may introduce higher volatility due to Asian trading activity.
Avoid trading during low-liquidity periods or extreme volatility (e.g., major crypto news).
Check for upcoming events (e.g., Ethereum network upgrades, ETF decisions) that could impact price.
Backtesting: Test the strategy on historical ETH data using the session high/low breakouts for the 7:00 PM–7:59 PM EST window to validate performance.
Adjust TP/SL levels based on backtest results if needed.
Broker and Fees: Use a low-fee crypto exchange (e.g., Binance, Kraken, Coinbase Pro) to maximize R:R.
Account for trading fees and slippage in your position sizing.
Time zone Adjustment: Adjust session time input for your time zone (e.g., "0000-0059" for GMT).
Ensure your trading platform’s clock aligns with the script’s time zone (default: America/New_York).
8. Example Trade Scenario: Session (7:00 PM–7:59 PM EST) records a high of 3050 and a low of 3000.
Long Trade: Entry: Price breaks above 3050 (e.g., enter at 3051).
TP Levels: 3063 (TP1), 3073 (TP2), 3083 (TP3), 3093 (TP4), 3103 (TP5).
SL: 3040 (3050 - 10).
Position Size: For a $10,000 account, 1% risk = $100. SL = 11 points ($11). Size = $100 ÷ 11 = ~0.09 ETH.
Short Trade: Entry: Price breaks below 3000 (e.g., enter at 2999).
TP Levels: 2987 (TP1), 2977 (TP2), 2967 (TP3), 2957 (TP4), 2947 (TP5).
SL: 3010 (3000 + 10).
Position Size: Same as above, ~0.09 ETH.
Execution: Set alerts for breakouts, enter with limit orders, and monitor TPs/SL.
9. Tools and Setup Platform: Use TradingView to implement the Pine Script and visualize breakout levels.
Alerts: Set price alerts for breakouts above the session high or below the session low after 7:59 PM EST.
Set alerts for TP and SL levels.
Chart Settings: Use a 1-minute or 5-minute chart for precise session tracking.
Overlay the script to see high/low lines, TP levels, and SL levels.
Optional Indicators: Add RSI (e.g., avoid overbought/oversold breakouts) or volume to confirm breakouts.
10. Risk Warnings Crypto Volatility: ETH is highly volatile; unexpected news can cause rapid price swings.
False Breakouts: Breakouts may fail, especially in low-volume sessions. Use confirmation signals.
Leverage: Avoid high leverage (e.g., >5x) to prevent liquidation during volatile moves.
Session Accuracy: Ensure correct session timing for your time zone to avoid misaligned entries.
11. Performance Tracking Journaling :Record each trade’s entry, exit, R:R, and outcome.
Note market conditions (e.g., trending, ranging, news-driven).
Review: Weekly: Assess win rate, average R:R, and adherence to the plan.
Monthly: Adjust TP/SL or session timing based on performance.
