FVG vertical Created by Alphaomega18
🎯 What is an FVG (Fair Value Gap)?
A Fair Value Gap is a price imbalance created by a mismatch between buyers and sellers, formed by 3 consecutive candles where:
Bullish FVG: The low of the current candle is above the high of the candle 2 periods ago
Bearish FVG: The high of the current candle is below the low of the candle 2 periods ago
⚙️ Indicator Settings
Display Group:
Show Bullish vertical FVG: Display bullish vertical FVGs (green) ✅
Show Bearish vertical FVG: Display bearish vertical FVGs (red) ✅
Box Extension (bars): Zone extension duration (1-50 bars, default: 10)
Show Labels: Display labels with gap size 🏷️
Remove When Filled: Automatically remove filled zones ✅
📊 Visual Elements
FVG Zones:
🟢 Green = Bullish vertical FVG (potential support zone)
🔴 Red = Bearish vertical FVG (potential resistance zone)
Labels:
Show gap size in points
Positioned at the beginning of each zone
Dashboard (top right corner):
Real-time count of active FVGs
🟢 = Number of bullish vertical FVGs
🔴 = Number of bearish vertical FVGs
Candle Coloring:
Light green background = Candle forming a bullish vertical FVG
Light red background = Candle forming a bearish vertical FVG
🎯 How to Use the Indicator
1. Installation:
Open TradingView
Click "Indicators" at the top of the chart
Search for "FVG Clean" or paste the code in the Pine Editor
2. Trading Strategies:
Support/Resistance:
Bullish vertical FVGs act as support zones
Bearish vertical FVGs act as resistance zones
Price tends to return to "fill" these gaps
Position Entries:
Long: Wait for a return to a bullish vertical FVG + confirmation
Short: Wait for a return to a bearish vertical FVG + confirmation
Position Management:
Place stops below/above FVGs
Use FVGs as price targets
A filled FVG loses its validity
🔔 Alerts
The indicator includes 2 configurable alert types:
Bullish vertical FVG: Triggers when a new bullish vertical FVG forms
Bearish vertical FVG: Triggers when a new bearish vertical FVG forms
To configure: Right-click on chart → "Add Alert" → Select desired alert
💡 Usage Tips
✅ Do:
Combine with other indicators (volume, momentum)
Wait for confirmation before entering
Use across multiple timeframes
Respect your risk management
❌ Don't:
Trade solely on FVGs without confirmation
Ignore the overall market trend
Overload your chart with too many zones
🔧 Parameter Optimization
Scalping (1-5min):
Box Extension: 5-10 bars
Remove When Filled: Enabled
Day Trading (15min-1H):
Box Extension: 10-20 bars
Remove When Filled: Enabled
Swing Trading (4H-Daily):
Box Extension: 20-50 bars
Remove When Filled: As preferred
📈 Performance
Maximum 100 FVGs of each type in memory
Automatic removal of oldest ones
Optimized to not slow down your chart
Compatible with all markets and timeframes
Indicadores e estratégias
Volume-Based Candle Shading Pro [LTS]Overview
Volume-Based Candle Shading Pro is a visual aid that highlights how “unusual” each bar’s volume is compared to recent activity. It adjusts candle colors based on whether volume is above, below, or near its average, helping you quickly spot high-activity pushes and quiet rotations on any symbol or timeframe.
How it works
For each bar, the script calculates a simple moving average of volume over a user-defined lookback. It then compares the current bar’s volume to that average.
Bullish candles start from a bullish base color, and bearish candles from a bearish base color. Depending on the volume ratio, that base color is blended toward a “high volume mix” color when volume is elevated, or toward a “low volume mix” color when volume is muted. The strength of the blend increases as the bar’s volume moves further away from the average, so extreme volume stands out visually while average bars remain close to the base colors.
Colors are applied with the built-in barcolor() function, so the indicator only affects candle appearance; it does not modify price, volume, or any other chart values.
Inputs
Bullish Base Color / Bearish Base Color
Primary colors used for up and down candles when volume is close to its average.
High Volume Mix Color
Color that is blended into the base color when volume is above its moving average. This is typically chosen as a darker or more intense shade to make heavy-volume bars stand out.
Low Volume Mix Color
Color that is blended into the base color when volume is below its moving average. Many users choose a lighter shade to visually de-emphasize low-participation bars.
Volume MA Length
Number of previous bars used to compute the average volume. Shorter lengths make the shading respond more quickly to recent changes in activity; longer lengths provide a smoother, more stable baseline.
Typical use cases
Highlighting high-volume breakouts, breakdowns, or rejection candles without adding extra panels or indicators.
Distinguishing between strong, well-participated moves and low-volume drifts that may be less significant.
Combining with your existing price-action tools to visually filter which candles deserve more attention based on relative volume.
All calculations are based on historical volume and the current bar only; the script does not use future data or repaint past candles. It is intended as a visual aid and should be combined with your own analysis and risk management.
Log Returns (Quant Lab)Log Returns Indicator
This indicator calculates the logarithmic return of each bar using the formula:
logReturn = ln(Close / Close )
It then visualizes:
• A log-return histogram (green for positive, red for negative returns)
• A rolling mean of log returns (yellow line)
• ±1 standard deviation bands around the mean (orange lines)
This indicator is used to:
• Measure the true statistical return behavior of the asset
• Detect volatility expansions and contractions
• Identify abnormal return spikes (news, liquidation cascades, manipulation)
• Evaluate market efficiency and momentum strength
• Prepare quantitative features for machine learning models
In simple terms, the Log Returns indicator shows whether the asset’s recent price behavior is normal or statistically unusual.
Trend Exhaustion Strategy [9,13]
** **
**Overview**
Trend Exhaustion Strategy is a specialized market timing tool designed to identify potential trend fatigue and price reversals. Based on classic 9-13 market timing logic, this indicator introduces a unique **Dynamic Support & Resistance Engine**.
Unlike standard counters, this script automatically projects active support and resistance levels from completed pattern phases. These lines serve as critical reference zones for trade management.
**Key Features**
* **Trend Exhaustion Detection:** Identifies potential market turning points using a two-phase structure:
* **Setup 9:** Highlights short-term momentum pauses.
* **Extension 13 (Phase 2):** Signals longer-term trend depletion and high-probability reversal zones.
* **Dynamic Extension Lines:**
* When a Setup 9 or Extension 13 completes, a horizontal level is instantly generated.
* **Resistance Lines (Red):** Generated at Tops.
* **Support Lines (Green):** Generated at Bottoms.
* **Smart Collision Detection:** The lines automatically extend to the right and terminate only when the price "collides" with or invalidates them.
**How to Use**
1. **Reversal Signals:** Look for the triangle icons (Setup 9) and labels (S13/B13). These often precede a pause or reversal.
2. **Breakout/Bounce Play:**
* Price approaches **Red Line** from below: Watch for rejection (Short).
* Price approaches **Green Line** from above: Watch for bounce (Long).
**Settings**
* **Recycle Mechanism:** Option to restart the count if specific conditions are met.
* **Visual Customization:** Fully adjustable line styles and colors.
-----
** **
**概述**
Trend Exhaustion Strategy (趋势耗尽策略) 是一款市场择时工具，旨在识别趋势疲劳和潜在的价格反转。本指标基于经典的 9-13 市场择时逻辑，并引入了独特的**动态支撑/阻力引擎**。
与普通计数器不同，该脚本会从完成的形态阶段自动生成有效的支撑和阻力线，为交易提供关键参考。
**核心功能**
* **趋势耗尽检测：** 使用双阶段结构识别市场转折点：
* **Setup 9：** 提示短期动能暂停。
* **Extension 13 (第二阶段)：** 提示更长周期的趋势衰竭和高概率反转区。
* **动态延伸线：**
* 当 Setup 9 或 Extension 13 完成时，立即生成水平线。
* **阻力线（红色）：** 在顶部生成。
* **支撑线（绿色）：** 在底部生成。
* **智能碰撞检测：** 线段自动向右延伸，只有当价格触碰或突破它们时才会终止。
**使用方法**
1. **反转信号：** 观察三角形图标（Setup 9）和标签（S13/B13）。
2. **突破/反弹交易：** 价格接近红线看跌，接近绿线看涨。
EMA Convergence EstimatorEMA Convergence Estimator is a tool designed to help traders visualize when two key trend EMAs—typically the 50-EMA and 200-EMA—are moving toward or away from each other. By analyzing slope, distance, and rate of convergence, the script estimates how many candles, hours, or days remain until the EMAs potentially touch.
This can be helpful for identifying upcoming trend shifts, tightening market conditions, or periods where momentum may be compressing before a larger move.
🔍 Features
Fast EMA & Slow EMA (default 50 / 200)
EMA distance tracking
Slope-based convergence calculation
Estimated time until EMAs meet in:
📍 Candles
⏱️ Hours
📅 Days
Real-time label panel showing all values
On-chart EMA cross markers
“+” printed directly on bullish EMA crosses
“–” printed directly on bearish EMA crosses
Fully transparent label background so it does not obstruct candles
📈 Use Cases
Identifying when EMAs are tightening (consolidation)
Spotting potential future crossovers earlier than normal indicators
Estimating momentum compression or expansion
Tracking longer-term trend dynamics on any timeframe
⚠️ Notes
The convergence estimate is mathematical, not predictive.
EMAs react to price — they do not forecast it.
Results depend on current slope and can change rapidly as new candles form.
Always use this tool as part of a broader analysis process.
This script is for educational purposes only and does not constitute financial advice.
LHAMA Oscillator Suite [LTS]Overview
The LHAMA Oscillator Suite is a collection of normalized, LHAMA-based oscillators built to make the behavior of the Low-High Adaptive Moving Average (LHAMA) easier to read in a separate pane. It translates LHAMA’s slope, distance, volatility buffer, intraday drift, and regime bias into six clear visual signals, with optional multi-timeframe overlays so you can compare your current chart to a higher-timeframe context at a glance.
Core concept
LHAMA is a custom adaptive moving average that responds more strongly when price is making new local highs or lows, and can optionally weight those moves by volume. The oscillator suite takes that adaptive line and derives several normalized measures (mostly scaled to ±100) around a zero line so you can:
See when LHAMA is meaningfully trending vs flat
Measure how far price has moved away from LHAMA in ATR terms
Track how far the LHAMA trend has “stretched” into its ATR cloud buffer
Follow intraday drift from a daily reset point
Visualize simple bull / bear / neutral states as a background regime filter
Available Oscillators
LHAMA Slope
Measures the angle of the LHAMA in ATR-normalized degrees, capped and rescaled to approximately –100 to +100. Positive values show rising LHAMA, negative values show falling LHAMA. The “Entry Slope (deg)” input defines when the line is considered strongly bullish or bearish. This is the primary trend-impulse oscillator in the suite.
Price Distance to LHAMA
Shows how far price is from the LHAMA in units of ATR, normalized to ±100. Large positive values indicate price trading well above the LHAMA; large negative values show price trading well below it. This is useful for spotting extensions away from the adaptive mean (for both continuation and mean-reversion style analysis).
LHAMA Cloud Buffer
Tracks the dynamic distance between LHAMA and its ATR-based “cloud boundary,” with the sign reflecting which side of the trend you are on. As the trend extends, the buffer widens; when LHAMA flips through the buffer, the sign changes. This makes it easy to see how mature or compressed a trend’s protective buffer is.
Trend Regime Bias
A smoothed, sigmoid transform of the LHAMA angle, converted to a bias between –100 and +100. Rather than focusing on raw slope, this oscillator highlights the underlying regime: values near +100 represent a strong bullish bias, values near –100 a strong bearish bias, and values near zero a more neutral environment.
Session Drift from Reset
Measures how far LHAMA has drifted from its value at a daily reset time (e.g., a futures session close), scaled by ATR and the square root of bars since reset. The result is a Z-score–style oscillator capped to ±100, which helps you gauge how extended the current session is relative to typical intraday movement.
LHAMA State (Background)
A simple state signal that classifies LHAMA as bullish, bearish, or neutral based on the angle and your slope threshold. It is typically used to tint the background of the oscillator pane, and can also be plotted from a higher-timeframe for regime stacking.
Multi-timeframe overlays
Each oscillator can optionally display a second, higher-timeframe (“MTF”) version drawn on the same scale. You can choose a custom MTF resolution (e.g., 15m while trading 1m), and independently toggle which MTF oscillators to show:
MTF LHAMA Slope
MTF Price Distance
MTF Cloud Buffer
MTF Regime Bias
MTF Session Drift
MTF LHAMA State background
This allows you to, for example, trade from the lower timeframe while aligning entries with the higher-timeframe trend regime or mean-reversion context.
Visualization and coloring
All oscillators are plotted around a zero line , with optional reference bands at ±80 to highlight stronger conditions.
Each oscillator can use one of three coloring styles:
Gradient : color intensity increases with the magnitude of the signal.
Flat : fixed bull / bear colors above and below zero.
Single Color : a single color regardless of sign, for minimalistic views.
A separate bull and bear color is available for each oscillator, and you can smooth most outputs with an EMA to reduce noise while keeping the raw calculations intact. You can also choose to disable to shaded area of each line for further visual differentiation.
Key settings
LHAMA settings : length, optional volume weighting, and a daily reset session to realign the moving average after overnight gaps.
Volatility settings : ATR length for both slope normalization and distance calculations.
Cloud settings : ATR multiplier used to define the LHAMA cloud buffer.
Appearance : optional smoothing length, zero-line color, ±80 bands toggle, and all per-oscillator color choices.
MTF overlays : higher-timeframe resolution and per-oscillator toggles for the MTF pack.
The script does not use lookahead settings in its data requests and does not draw future values; all signals are computed using information available at each bar in real time, in line with TradingView’s execution model and publishing guidelines.
SWING [DEMAK]SWING
EMA 5, 25, 50, 200, 250
SMA 10
Indicator for finding swing trades and reading direction
STOCKS / CRYPTO / FUTURES
Liquidity Analysis🙏🏻 Liquidity Analysis is 1 of 2 structural layer / orderflow layer analysis scripts. Both are independent so can’t be released together as a single script, but should be used together. The second one which is called (Signed) Volume Analysis is incoming.
The same math used in this script can be applied on other types of profile-like data: orderbooks, trading volumes of all options for each strike.
Important: market or volume profile, just as orderbooks and options traded volume by strikes, are all liquidity ‘estimates’, showing where liquidity is more likely or less likely to be. These estimates however, especially combined with other info, are really useful and reliable.
This script works with inferred volumes vs the provided one. It's the better choice for equities, bonds; neutral choice for currencies; and suboptimal choice for natural & artificial commodities.
Contents:
Output description;
How to analyze & use the outputs;
How to use it together with upcoming (Signed) Volume Analysis script;
How did I use both scripts to finish The Leap profitably and skipped many losses.
1. Output description
Color of the profile reflects the liquidity imbalance state: red is negative, purple is neutral, blue is positive.
Bar coloring represents history values of liquidity imbalance for backtesting purposes. It can be turned on/off in the script's Style settings.
Two purple vertical lines represent calculated borders of excessive liquidity (HVN), scarce liquidity (LVN), and sufficient liquidity (NVN) zones.
Vertical dash line marks the moving window end, this way you can be certain over what exact data you see the profile was built.
2. How to analyze & use the outputs
Setup up the script:
Moving window length: set it to ~ ¼ of your data analysis window. E.g if you see on your charts and use ~ 256 bars, set the length to 64.
Native tick size multiplier: leave it at 0 to calculate optimal number of rows automatically, or set it manually to match native tick size multiples you desire.
Use 2 timeframes: main one and a far lower one 3 steps down, just like on the screenshot.
Native lot size multiplier allows to round profile rows themselves to nearest multiples of native lot size. I added this just in case any1 needs it.
Find out current liquidity imbalance state:
As mentioned before, based on profile color, it can be negative, neutral or positive. This is the state variable that changes slowly and denies/confirms the signals that would be explained in the minute.
I use my own statistically grounded imbalance metric (no hardcoded/learned thresholds), that unlike mainstream imbalance metrics (e.g orderbook imbalance as sum of bids vs sum of asks) provides a natural neutral zone, when liquidity imbalance is ofc there but not strong enough to be considered.
…
Profile-based signals: look at profile shape vs 2 vertical purple lines.
where profile rows exceed the left purple line, these prices are considered HVN. Too much potential liquidity is there.
where profile rows don’t exceed the right purple line, these prices are considered LVN. Potential thin/lack of liquidity is expected there.
where profile rows are in between these 2 purple lines, these are NVN, or neutral liquidity zones.
Trading ruleset itself is based on couple of simple rules:
Only! Use limit orders hence provide liquidity in LVNs and Only! use stop-market orders hence consume liquidity in HVNs;
These orders should be put in advance ‘only’. This is how you discover the direction or orders: you can only put sell limit orders above you and buy limit orders below you, and you can only put buy stop orders above you, and sell stop orders below you.
This is really it. It may look weird, but once you just try to follow these 2 rules letter by letter for 1 hour, you’ll see how liquidity trading works.
Now once you know that, just don’t open new trades against the liquidity imbalance state. So don’t open shorts when the profile is blue, and don’t open longs when it’s red.
The last part is multi-timeframe logic. Prefer to act when a lower timeframe is Not against the main timeframe. That’s all, no multiple higher timeframes are needed.
3. How to use it together with upcoming (Signed) Volume Analysis script.
That upcoming script would also have a mean to generate its own signals, and another state variable called volume imbalance.
So now you’re not only looking at liquidity imbalance but also at volume imbalance that would deny/confirm a profile based signal. You need at least one of these to favor your long or short.
This is the same logic widely used in HFT, where MM bots cancel/shift/resize orders when book is too onesided And ordeflow is one sided as well.
4. How did I use both scripts to finish The Leap profitably and skipped many losses.
Even tho you can use structural information as your main strategic layer, as many so-called orderflow traders do, I traded in objective style: my fade signals were volatility based in essence, and I used ordeflow for better entries and stops, but most importantly to skip losses.
When ‘both‘ liquidity imbalance and volume imbalance (in their main timeframes) were against my trades, I skipped them all, saving many ~$500 stop losses (that was my basis risk unit for the Leap). Unless I had a very strong objective signal, i.e confluence of several signals, or just one higher timeframe signal, I did all these skips.
I traded ~ intraweek timeframe, so I was analyzing either the last 230 30min bars or 1380 5min bars. Both Liquidity Analysis and (signed) Volume Analysis scripts were set to moving window length 46 or 276 for either granulary.
I finished the leap with 9% profit and max DD ~ 5%, a bit short of my goal of 12.5%. If not these 2 scripts I would’ve finished a bit above breakeven I think.
∞
Smart Money Time by TMUSMT-Integrated Institutional Structure
This solution addresses a critical limitation in retail technical analysis: Fractal Blindness. While standard indicators operate linearly on a single timeframe, this script utilizes a Synchronous Multi-Timeframe (MTF) Architecture combined with SMT (Smart Money Time) logic to overlay higher-order market structure directly onto your execution chart.
It is engineered to align your entry triggers with the dominant institutional trend, effectively filtering out counter-trend noise that often leads to liquidity sweeps.
Core Technology: The "Fractal-Sync" Engine
1. Hierarchical Trend Propagation (MTF Logic) The script performs a real-time request.security analysis of user-selected higher timeframes to determine the "True State" of the market.
The Mechanism: Instead of repainting historical data, the algorithm uses a Step-Locked logic. It projects the confirmed Swing Highs and Lows of the Higher Timeframe (e.g., 4H) onto your Lower Timeframe (e.g., 5m or 15m).
Practical Value: You instantly visualize the "Big Picture" bias without switching tabs, ensuring your local trades are aligned with the global flow.
2. SMT-Grade Pivot Detection Integrating concepts from Smart Money analysis, the indicator identifies Key Swing Points that have a high probability of defense by large operators.
Technique: By calculating volatility-adjusted deviations (ATR) across multiple timeframes, the script distinguishes between a standard "pullback" and a genuine Structure Shift (MSS) or Break of Structure (BOS).
Benefit: It visually separates weak internal structure (inducement) from strong external structure (protected levels).
Technical Specifications & Filters
To satisfy strict stability requirements and provide objective signals, the engine incorporates unique validation methods:
Volatility Normalization: Structure breaks are validated against a dynamic ATR threshold. This ensures that low-volume consolidation does not trigger false structural resets.
Candle-Close Validation Protocol: A level is considered breached only if the candle body closes beyond the pivot. This filters out "Wick Fakeouts" and Stop-Hunts often seen during news events.
Conflict Resolution: When the Lower Timeframe trend contradicts the Higher Timeframe structure, the indicator visualizes this as a "Retracement Phase," advising caution.
Operational Workflow
This tool acts as a Market Context Filter, not a simple signal generator:
Trend Alignment: Use the visual cues to instantly recognize the dominant institutional flow.
Zone Identification: The script automatically plots "Strong Lows" (Invalidation Points) and "Weak Highs" (Targets).
Execution: Seek entries on your timeframe only when the higher timeframe structure (shown by this script) confirms the direction.
Note for Professional Use: This script is designed for precision execution. It minimizes chart clutter by displaying only confirmed structural points, providing a clean, logic-driven workspace for objective decision-making.
Smart DCA 1.0This indicator shows you when BTC is falling from its local highs and gives you an optimal entry price.
Reversal Pro v2 Reversal Pro v2 + Kernel Trend Line
© HighlanderOne – 2025
The ultimate confluence of institutional liquidity grabs + adaptive trend filtering.
Core Strategy – V-Reversal (Liquidity Sweep + Reclaim)
This indicator detects when price makes an aggressive move that sweeps nearly all recent lows (or highs) in the last 20 candles — a classic smart-money stop-hunt.
Once the sweep candle is identified, it waits for price to reclaim above the sweep low (bullish) or below the sweep high (bearish) within the next few bars.
That reclaim is the exact moment the real directional move begins.
Key improvements over classic versions:
• Uses ≥ (lookback – 2) instead of strict equality → catches more real sweeps without adding noise
• Optional true non-repainting mode (signal appears only on the close of the confirmation bar)
• Extremely clean, high-probability reversal signals (usually 2–6 per week on 1h–4h)
Smoothed Kernel Regression Trend Line (exactly like the legendary KTrend)
A secondary rational-quadratic kernel regression is plotted on top with a Gaussian lag filter.
The line changes colour based on short-term vs long-term kernel relationship:
• Teal/Green → Uptrend confirmed
• Maroon/Red → Downtrend confirmed
How to trade it (my exact rules – the way I actually use it every day)
Entry Rules
Long: Green V appears + Kernel line is green or turns green within 1–2 bars
Short: Red V appears + Kernel line is red or turns red within 1–2 bars
Trade Management – Stay in the trade using the Kernel line
• Trail your stop under the Kernel line (for longs) or above it (for shorts)
• Never exit just because of a new opposite V — wait for the Kernel line to actually change colour
• If the Kernel line stays your colour for 10–20+ bars, let the trade run — these become the massive 5:1 – 15:1 winners
• Only exit early if the Kernel line flips colour — that is your objective “trend over” signal
Best timeframes
• 15m & 1h → scalping / day trading
• 4h & Daily → swing trading monsters
Best markets
Works insanely well on: BTC/USD, ETH/USD, NAS100, SPX500, Gold, EURUSD, GBPUSD, USDJPY
This is not just another reversal indicator.
It’s institutional order-flow detection + adaptive trend filtering in one clean script.
High win-rate entries.
Objective trend-based exits.
Zero repainting (when enabled).
Pure price action.
Trade it exactly as described and you will never need another reversal system again.
Enjoy the edge.
– HighlanderOne
POB PKDisclaimer:
This indicator is developed purely from mathematical calculations. Please backtest thoroughly and consult a certified financial advisor before making any trading or investment decisions. The author assumes no responsibility for any financial losses or profits resulting from the use of this indicator.
FVH THE ARCHITECT (The Consensus)HE ARCHITECT - Institutional Logic Engine
System Philosophy: THE ARCHITECT is a defensive consensus engine designed to filter market noise and align price structure with institutional momentum. It does not generate signals in isolation; it requires a "Consensus" between Price Action, Volume, and Divergence before confirming a setup.
Core Features:
Institutional Structure: Automatically identifies Order Blocks (Bull/Bear), Fair Value Gaps (FVG), and Break of Structure (BOS) based on fractal logic.
Smart Consensus Filter:
Smart VWAP: Color-coded trend filter (Green = Up, Red = Down).
Volume Spikes: Identifies institutional injection (Purple Candles) at >1.5x average volume.
Smart Reversals: RSI Divergence labels are only printed if the candle color confirms the rejection.
Focus Mode: A toggle to switch between "History Mode" (Context) and "Focus Mode" (Active Zones Only) to reduce chart clutter.
How to Use:
Buy: Wait for price to enter a Green Bull OB. Look for a "Smart Buy" label or Purple Volume Spike.
Sell: Wait for price to enter a Red Bear OB. Look for a "Smart Sell" label.
Alerts: Includes hard-coded alerts for "Smart Buy", "Smart Sell", and "Volume Spikes" for automated notifications.
Custom Timeframe SMAsThis indicator plots up to three Simple Moving Averages (SMAs), each calculated from a user-selected timeframe and displayed on the current chart. This allows you to visualize higher- or lower-timeframe SMAs without switching charts.
Features
Three fully customizable SMAs with alerts
Each SMA has its own:
Length
Timeframe
Color
Line thickness
On/Off toggle
Use Cases
View higher timeframe SMAs (e.g., 1-hour 50 SMA on a 5-minute chart)
Combine trend signals across multiple timeframes
Track dynamic support/resistance from different timeframes
Enhance scalping, day trading, or swing trading setups
1HR Pivots & Pre-Market Levels1HR Pivots & Pre-Market Levels Indicator
Overview
This indicator is designed for intraday traders who want to identify key price levels that often act as support and resistance throughout the trading day. It combines multiple timeframe analysis into a single, clean overlay on your chart.
Key Features
1-Hour Pivot Levels
The indicator automatically detects significant swing highs and lows from the 1-hour timeframe and displays them as horizontal levels on your chart, regardless of what timeframe you're viewing. These pivots are calculated using closing prices (line chart style) rather than wicks, which provides cleaner, more reliable levels. You can display up to 20 pivot levels and customize how sensitive the detection is.
Pre-Market High & Low
Before the regular session opens, price action in the pre-market often establishes important boundaries for the day. This indicator tracks and displays the pre-market high (green) and low (red) from 4:00 AM to 9:30 AM Eastern Time. These levels are derived from 1 min prices including wicks.
First 15-Minute Range
The opening 15 minutes of the regular session (9:30-9:45 AM ET) frequently sets the tone for the rest of the day. The indicator marks the high (blue) and low (orange) of this critical period, including wicks, giving you clear reference points for potential breakout or reversal trades.
Session VWAP
Volume Weighted Average Price is included as a white line that resets daily. VWAP represents the average price weighted by volume and is widely used by institutional traders. Price trading above VWAP suggests bullish sentiment, while price below suggests bearish sentiment.
Why It's Useful
Multi-timeframe context on any chart - View 1-hour levels while trading on a 1-minute or 5-minute chart
Key session-based levels - Pre-market range and opening range are proven reference points for day traders
Clean visualization - All levels draw from their origin point so you can see exactly where each level was established
Fully customizable - Adjust colors, line thickness, and number of levels to match your preferences
Information table - Quick reference panel showing exact prices for all key levels
Best Used For
Identifying potential support and resistance zones
Planning entries and exits around key levels
Gauging whether price is extended or at value (using VWAP)
Understanding the day's structure at a glance
ICT 3 Models - Entry Signals 1.2This script combines 3 powerful ICT (Smart Money Concepts) Entry Models into one comprehensive strategy setup. It is designed to identify high-probability setups based on Higher Timeframe POIs and includes a fully functional Strategy Tester engine.
🔥 The 3 Entry Models:
Model 1 (MSS + FVG): Classic reversal setup using HTF Order Blocks, Liquidity Sweep, Market Structure Shift (MSS), and entry at FVG.
Model 2 (SMT / Sweep): Catches "Turtle Soup" or Failure Swing setups where price grabs liquidity and quickly reverses using FVG confirmation.
Model 3 (AMD / Box): Accumulation, Manipulation, Distribution setup. Identifies consolidation boxes and trades the manipulation leg.
✨ Highlights:
Full Backtesting Engine: Test the strategy with customizable Initial Capital and Order Sizing.
Auto HTF POI: Automatically plots Higher Timeframe Order Blocks on your chart.
Flexible Risk Management: Set SL/TP via Fixed Points or ATR Multiplier.
Alerts Included: Ready for automation.
Disclaimer: This tool is for educational purposes only. Trading involves risk.
SMT [Advanced] by TMUThis is a proprietary technical analysis tool designed to detect SMT (Smart Money Time) Divergences with a specific focus on Time-Cycle Theory and advanced Data Visualization.
Originality & Technical Uniqueness Unlike standard open-source SMT indicators that simply compare Highs/Lows and clutter the chart with overlapping text, this script utilizes a custom-built "Label Registry & Stacking Engine". Standard indicators often fail when multiple divergences occur simultaneously on different timeframes. This script solves this problem using a proprietary deferred rendering algorithm:
Registry System: Instead of drawing signals immediately, the script calculates potential divergences across multiple assets/timeframes and pushes them into a dynamic array (registry).
Dynamic Stacking: A background sorting algorithm processes this stack every bar, groups signals by their timestamp and type, and renders them with calculated offsets. This ensures labels never overlap, providing a clean, professional workspace impossible to achieve with basic plotting functions.
Signal Rotation: It implements a "rotation manager" logic for 90-minute cycles. As price action evolves, the script automatically assesses whether to update an existing divergence line or create a new historical reference, keeping the analysis strictly relevant to the current cycle structure.
How it Works (Methodology) The script performs a relative strength analysis between two correlated assets (e.g., ES vs. YM) using request.security to fetch comparative data.
Pivot Analysis: It identifies structural Pivot Highs and Lows based on a configurable length, filtering out minor internal noise.
Divergence Logic:
Bearish SMT: Validated when the primary asset makes a Higher High while the comparison asset makes a Lower High.
Bullish SMT: Validated when the primary asset makes a Lower Low while the comparison asset makes a Higher Low.
Time-Cycle Isolation: The analysis is confined within strictly defined temporal windows (Daily, Weekly, and custom 90-minute intraday blocks). The script detects cracks in correlation specifically within these isolated sessions rather than looking at infinite history.
Features
Smart Filter: Advanced logic to filter out "Internal" structure and focus only on major external pivot breaches.
Multi-Cycle Dashboard: A real-time table monitoring the SMT status of Monthly, Weekly, Daily, and intraday cycles simultaneously.
Auto-Ticker Selection: Automatically detects the current asset class (Indices/Forex) and selects the appropriate comparison symbol (e.g., selects YM when viewing ES).
Settings
Comparisons: Manual or Auto-ticker selection.
Visuals: Custom colors, line styles, and label positioning modes.
Alerts: Customizable alerts for valid SMT formation on any monitored timeframe.
Orca Trade PendulumMomentum oscillator with dual-EMA engine, ATR normalization, and Flip reversal signals. Candle coloring and dynamic histogram included.
Orca Trade Pendulum is a closed-source momentum and reversal detection oscillator designed to identify shifts in trend strength, momentum acceleration, and key turning points.
It combines a dual-EMA engine, ATR normalization, a dynamic pendulum-style histogram, and a Flip-Signal system that highlights moments when momentum changes direction after leaving overbought or oversold zones.
Key features:
• ORCA Dual-EMA Momentum Engine
• ATR-normalized oscillator for adaptive scaling
• Pendulum Histogram showing momentum acceleration and deceleration
• Flip Signals confirming momentum reversal after OB/OS exit
• Automatic candle coloring on flip confirmation
• Optional signal line for smooth trend interpretation
• Overbought and oversold levels with background highlighting
This is a protected-source script.
The code is hidden and cannot be viewed or copied.
The script is provided for testing and evaluation.
RTH Gap & Stdev [Sword & Shield]Dynamic RTH Gap & Stdev - Technical Description
Description
This script implements a specialized methodology for analyzing the Regular Trading Hours (RTH) Opening Gap, focusing on the "void" created between the previous session's RTH Close and the current session's RTH Open. Unlike standard gap indicators that may reference the Settlement or pre-market range, this tool isolates the specific liquidity gap formed by the primary session auction.
The script is designed to help traders identify:
The Gap Zone: The precise price range where no RTH trading occurred.
Internal Quartiles: Key harmonic subdivisions (25%, 50%, 75%) within the gap, often serving as intraday support/resistance.
Expansion Targets: Projected volatility levels (Standard Deviations) above and below the gap.
Mitigation State: Real-time tracking of how much of the gap has been "filled" by price action.
Underlying Concepts & Calculations
1. RTH Session Detection
The indicator strictly follows asset-specific timetables (e.g., Indices 09:30-16:00 ET). It detects the RTH Close of the previous day (closing print of the last RTH bar) and the RTH Open of the current day.
Gap High: Max(PrevClose, CurOpen)
Gap Low: Min(PrevClose, CurOpen)
2. Quartile & Harmonic Levels
We divide the gap range (GapHigh - GapLow) into quartiles. The 50% level (Consequent Encroachment) is a widely recognized equilibrium point in gap trading.
Formula: Level(x) = GapLow + (GapRange * x) where x is 0.25, 0.50, 0.75.
3. Volatility Projections (Standard Deviations)
The script offers two distinct volatility models for projecting targets:
Gap Range Basis: A harmonic expansion model where 1.0σ (Standard Deviation) is rigidly defined as 100% of the Gap Range. This assumes the market often expands in multiples of the initial opening impulse.
Calculation: +1.0σ Level = GapHigh + GapRange
VWAP Bands Basis: A statistical model estimating daily volatility using the deviation of price from the VWAP (Volume Weighted Average Price) from the previous session. This allows the bands to adapt to the broader market volatility rather than just the gap size.
4. Dynamic Extension & Clamping
Uniquely, this script uses a forward-projection bar-loop. Lines and labels are instantiated at the Open and extended incrementally with each new bar.
Clamping: The script calculates the precise timestamp of the RTH Close and clamps all drawing objects to this time. This prevents lines from extending into the post-market or next day, ensuring a clean chart layout.
5. Mitigation Tracking
The dashboard calculates the Unmitigated Percentage of the gap:
Logic: It tracks the session's Highest High and Lowest Low.
Calculation: FilledRange = PriceExtreme - GapBoundary.
Status: displayed as "Unmitigated, 100% rem" or "Mitigated XX%", providing a precise metric for gap-fill strategies.
Usage
Traders can use this tool to:
Target the 50% fill described as "Consequent Encroachment".
Fade extremes at +1.0σ gap expansions.
Monitor the "Mitigation %" to gauge trend strength (e.g., a gap that remains <20% filled often indicates a strong trend day).
Structure Break ModelMAIN FEATURES
Supported Assets & Timeframe
This indicator is specifically designed and calibrated for 30 USDT trading pairs on the H4 timeframe, all of which have been actively traded for over 1,000 days, including:
BTCUSDT, ETHUSDT, XRPUSDT, BNBUSDT, SOLUSDT, TRXUSDT, DOGEUSDT, ADAUSDT, XLMUSDT, BCHUSDT,
ZECUSDT, LINKUSDT, HBARUSDT, UNIUSDT, LTCUSDT, AVAXUSDT, SHIBUSDT, DOTUSDT, AAVEUSDT, NEARUSDT,
ETCUSDT, ICPUSDT, FILUSDT, APTUSDT, ENSUSDT, ATOMUSDT, VETUSDT, QNTUSDT, CRVUSDT, INJUSDT
Using the script on other pairs or timeframes will trigger an automatic warning to prevent incorrect usage.
1. Structural Weakening Model (Core Logic)
At the heart of the system lies the Structural Weakening Model (SWM) — a multi-layered market-structure engine that identifies momentum exhaustion and confirms genuine reversals using pivot-based swing architecture.
Pivot Structure Mapping
The indicator continuously analyzes Pivot Highs and Pivot Lows (length = 5) to establish clean, stable swing structure.
Weakening Pattern Detection
The model evaluates directional fatigue by detecting pivot sequences:
2–6 Higher Lows → Weakening buyers → Potential SELL setup
2–6 Lower Highs → Weakening sellers → Potential BUY setup
This mechanism identifies “compression zones” where market pressure fades before a structural shift.
Breakout Confirmation Layer
A signal is only triggered when price breaks the final structural anchor of the pivot chain.
This ensures:
Optional Trend Filter (MA Alignment)
Users may select EMA, SMA, WMA, HMA and more.
Price above MA → BUY-only mode
Price below MA → SELL-only mode
This keeps signals aligned with broader market flow.
Visual Example – SELL Signal (TP Hit)
2. Signal Conditions (How the System Works)
SELL Setups
Triggered when:
Price forms 2–6 higher lows, signaling weakening buyers
Price breaks below the structural pivot anchor
(Optional) Price is below the MA filter
BUY Setups
Triggered when:
Price forms 2–6 lower highs, signaling weakening sellers
Price breaks above the structural pivot anchor
(Optional) Price is above the MA filter
Visual Example – SELL Signal (SL Hit)
3. Automatic Capital Management
The script integrates full risk-management utilities:
Starting capital (default 10,000 USDT)
Risk % per trade
Leverage (x10 → x100)
Automatic position sizing
Margin requirements
Real-time TP/SL calculations
This turns the indicator into not just a signal tool, but a complete trading assistant.
4. Flexible Stop-Loss System
Users may choose:
Swing-based SL (nearest structural pivot)
Fixed SL %
Custom TP based on R:R (1:1.5 → 1:5)
Default R:R = 1:2
SL/TP levels update instantly whenever settings change.
Input Settings Menu
5. Visual Interface
The chart displays:
Entry, TP, SL (extended 20 candles)
BUY/SELL labels
Real-time TP/SL hit status
Full info panel:
Latest signal
Entry price
TP/SL
Leverage
Risk %
Required margin
Win/loss & R statistics
Days on chart: The total number of trading days calculated from your chart’s visible data
All signals follow the exact same logic in historical and real-time charts.
Zero repainting.
6. Internal Backtest Engine (Not Official TradingView Backtesting)
The script includes an internal backtest calculator that evaluates:
SL methods
TP R:R settings
Signal quality
Aggregate R performance
⚠ This is an internal calculation tool, not the official TradingView Strategy Tester.
Its purpose is to help users understand how different settings behave when applied to past data.
7. 1-Day Free Trial
Users may message the author on TradingView to request:
1-day trial access
Ability to test signals in real-time
Compare different SL/RR settings
Verify that the indicator does not repaint
Inspect how the engine behaves on the supported 30-coin dataset
This allows users to evaluate the tool transparently before subscribing.
8. Market Coverage & Deep Backtest Basis This indicator is calibrated on the 30 largest USDT pairs, providing a deep historical dataset with stable liquidity and clearer structural swings. The long backtest range and high signal density help reduce noise and ensure more consistent behavior across different market conditions.
⚠ Disclaimer
This indicator is a quantitative analysis tool created for educational purposes only.
All “optimal settings” are derived from historical market behavior and do not guarantee future performance.
Market conditions change, and every trader must apply independent risk management.
Trading involves risk.
Use responsibly.
