Market Structure Break & OB Probability Toolkit [LuxAlgo]The Market Structure Break & OB Probability Toolkit indicator provides an institutional framework for identifying high-probability liquidity zones and significant market structure transitions using momentum-based filters and volume analysis.
🔶 USAGE
The indicator aims to provide a systematic approach to structural analysis, allowing traders to identify clear institutional footprints. By integrating statistical filters, the tool helps isolate high-conviction signals from market noise.
🔹 Market Structure Breaks (MSB)
Unlike standard fractal-based breaks, the MSB logic in this toolkit utilizes a Momentum Z-Score filter . This ensures that structural shifts are only highlighted when price breaks a pivot with significant conviction.
Pivot Lookback: Custom sensitivity for identifying swing highs and lows.
Volatility Filtering: Only breaks exceeding the statistical threshold are labeled, helping traders avoid low-momentum fakeouts.
🔹 Institutional Order Blocks (OB)
The script automatically detects and manages Order Blocks based on the candle preceding an MSB. Every zone includes a Point of Control (POC) line for precise entry or target consideration.
Standard OBs: Formed during structural transitions, representing potential institutional interest.
High-Probability OBs (HP-OB): Zones identified with exceptionally high impulse and volume signatures (score > 80%). These are visually distinct to highlight their increased significance.
🔹 Session Range Integration
Traders can track the ranges of the London, New York, Tokyo, and Sydney sessions. This allows for the identification of structural breaks occurring at session extremes or during high-liquidity windows.
🔹 Strategy Application
Trend Direction: Identify the prevailing bias through MSB signals. A bullish MSB followed by a retracement into a Bullish OB provides a classic institutional entry scenario.
Zone Confluence: Look for High-Probability OBs that align with Session Highs/Lows for increased trade conviction.
Re-test Analysis: Enable "Extend Broken OBs" to see how price interacts with flipped liquidity zones.
🔶 DETAILS
The toolkit utilizes several advanced logic components to maintain chart clarity and analytical depth:
Intelligent Mitigation Logic: Active zones are managed in real-time. Traders can choose between "Historical" (shows all past zones) or "Present" (shows only active zones) display modes.
Mitigated Extension: A specialized feature to extend recently broken zones, allowing for re-test analysis of formerly active liquidity.
Overlap Filter: Option to hide overlapping Order Blocks to maintain a clean, actionable chart.
🔹 Analytics Dashboard
The built-in dashboard provides a real-time performance suite:
OB Reliability: A percentage-based efficiency metric tracking how many detected zones have been successfully mitigated by price.
High-Prob Zone Count: A live counter of active HP-OBs currently remaining on the chart.
🔶 SETTINGS
🔹 Market Structure
Pivot Lookback: Defines the sensitivity of the market structure detection by adjusting the lookback period for pivots.
MSB Momentum Z-Score: Sets the statistical threshold for a price move to be considered a valid structural break.
🔹 Visuals
Display Mode: Toggles between showing historical mitigated zones or only currently active ones.
🔹 Order Blocks
Max Active OBs: Controls the maximum number of blocks stored and displayed on the chart.
Extend Broken OBs: If enabled, recently mitigated blocks will remain visible to observe potential re-tests.
Hide Overlapping OBs: Removes redundant zones that occupy the same price area as existing ones.
🔹 Sessions
Show Session Ranges: Global toggle for session visualizations.
Session Toggles: Individual controls to enable London, New York, Tokyo, or Sydney ranges with custom time and color inputs.
Institutional trading concepts and Smart Money Concept (SMC) indicators involve significant risk. This tool is designed for educational and analytical purposes. Past performance is not indicative of future results.
Индикаторы и стратегии
Midnight Open Retracement [LuxAlgo]The Midnight Open Retracement indicator highlights the 12:00 AM ET opening price and provides real-time probability statistics for price retracing to this level during the New York session.
Designed specifically with NQ (Nasdaq 100) futures data in mind, the tool helps traders identify high-probability "magnet" levels for New York open scalps based on historical performance.
🔶 USAGE
The Midnight Open is a cornerstone of ICT concepts, acting as a "true" daily open that often serves as a point of institutional re-accumulation or distribution. This script automates the identification of this level and provides a dashboard to help traders decide when to expect a retracement.
🔹 Identifying the Bias
The script compares the New York opening price (9:30 AM ET) to the Midnight opening price:
If NY opens above the Midnight Open, the indicator identifies a potential bearish retracement bias toward the level. If NY opens below the Midnight Open, the indicator identifies a potential bullish retracement bias toward the level.
🔹 Using as a Profit Target
Because the Midnight Open is retraced to frequently, it serves as an ideal Take Profit (TP) target for opening range scalps. The indicator marks the exact moment a retracement occurs with a visual marker, confirming the level has been tested.
🔶 DETAILS
The statistics integrated into this tool are based on extensive backtesting of NQ futures over 6-month periods. Understanding these probabilities allows traders to filter out low-conviction setups and focus on high-probability days.
🔹 The Core Probabilities
When price opens above the midnight level, it retraces to touch it 74% of the time. When price opens below the midnight level, it retraces to touch it 63% of the time.
🔹 Weekday Variance
Not all trading days are equal. The script accounts for "By Weekday" statistics:
High Probability (Wednesdays): On Wednesdays, retracement probabilities can jump as high as 89% for opens above the midnight level. Low Probability (Mondays): Mondays often exhibit "Avoid" criteria, with retracement probabilities frequently falling below 60%.
The dashboard dynamically updates the "Probability of Retracement" based on the current day of the week, helping you stay aligned with historical data.
🔶 SETTINGS
🔹 Session Settings
Timezone Mode: Choose between Exchange time or "America/New_York" (recommended for ICT concepts). Midnight Open Time: The specific time used to set the daily baseline. NY Open Time: The time used to determine the session opening bias. NY Session Range: Defines the boundary for the New York session box.
🔹 Visual Settings
Show Midnight Level: Toggles the horizontal line representing the midnight price. Show Retrace Circle: Displays markers on the chart when the retracement goal is met. Show NY Session Box: Draws a dynamic box for the NY session that changes color based on the current price relative to the open.
🔹 Dashboard Settings
Show Insights Report: Toggles the statistics dashboard on the chart. Position/Size: Controls the UI placement and scale of the data table.
BTC Liquidation Heatmap | Multi-ExchangeBTC Liquidation Heatmap | Multi-Exchange
🔍 This heatmap pulls volume data from Binance, Coinbase, and Bitstamp simultaneously to show you where the real liquidation clusters are sitting. Instead of guessing where stops might get hit, you get actual volume-weighted zones with a strength score that tells you which levels matter.
The zones change color based on how much volume is stacked at each level. Bright colors mean heavy liquidation potential, faded colors mean weak spots. Each label shows the volume size, a strength rating out of 10, and how far away it is from current price in percentage terms.
Works best on 4H/D1 timeframes for Bitcoin. The default settings are tuned for day trading but you can dial them up or down depending on your style.
⚙️Drop it on your BTCUSD chart and you'll see colored boxes above and below price. Purple zones are short liquidations (above price), teal zones are long liquidations (below price). The thermometer on the right shows you the intensity scale.
Labels show three things: volume amount, strength ranking, and distance from current price. A level showing "1.45B ||| Strength 8/10 ||| 2.34%" means there's 1.45 billion in volume weight, it's an 8 out of 10 in terms of strength, and it's 2.34% away from where you are now.
The strength ranking is calculated using a proprietary algorithm that weighs multiple factors. Higher numbers mean more likely to cause a reaction when price gets there.
Settings You Actually Need to Know
📊 Lookback Bars: How far back to scan for levels. Default is 1000 bars which gives you plenty of context without cluttering the chart.
Pivot Width: Higher numbers = fewer but stronger levels. Start with 5, bump it to 8-10 if you're getting too much noise.
Min Level Weight: Filter out weak levels by raising this number. If your chart looks messy, start increasing it by 100M increments until it cleans up.
Label Size: Set to Normal by default. Switch to Large if you're on a big monitor or Small if you want a cleaner look.
How to Use It
🎯 Look for clusters of high-strength levels (8-10 rating) near current price. Those are your magnets. Price tends to get pulled toward them because that's where the liquidity is sitting. When you see a 10/10 level a few percent away, that's your target or your invalidation point depending on which side you're trading.
If price breaks through a strong level with momentum, it usually means the liquidations got triggered and you're looking at a real move. Weak levels (1-4 rating) are more likely to get ignored.
The distance percentage helps you figure out if a level is even worth watching. A 10/10 level that's 15% away might not matter for your intraday trade, but a 6/10 level that's only 0.5% away definitely does.
Exchange Toggles
🔄 You can turn off any of the three exchanges if you want. All three are on by default because more data = better picture. But if you only care about Binance and Coinbase, just uncheck Bitstamp in the settings. The volume recalculates automatically.
What to Ignore
Don't trade every level you see. Focus on the ones with 6/10 strength or higher that are within 5% of current price. Everything else is just context. And if a level gets hit (price crosses through it), it'll fade out so you know it's done.
The thermometer on the right is just a reference. You don't need to stare at it, but it helps when you're trying to figure out if a level is relatively strong or weak compared to everything else on screen.
Jurik MA Trend Breakouts [BigBeluga]🔵 OVERVIEW
Jurik MA Trend Breakouts is a precision trend-breakout detector built on a custom Jurik-smoothed moving average.
It identifies trend direction with ultra-low lag and maps breakout levels using pivot-based swing highs/lows.
The indicator plots dynamic breakout lines and confirms trend continuation or reversal when price breaks them — providing clean, minimalistic yet extremely accurate trend signals.
🔵 CONCEPTS
Jurik Moving Average (JMA) — A highly smooth and low-lag moving average that reacts quickly to trend shifts without noise. This becomes the core trend baseline.
Trend Bias —
• JMA rising → bullish trend
• JMA falling → bearish trend
The JMA color updates instantly based on slope.
Swing Pivots — Recent pivot highs/lows are detected to define structural break levels while filtering out weak noise.
Trend Breakout Levels —
The indicator draws horizontal levels at the last valid pivot in the direction of the trend.
These levels act as “confirmation gates” for breakout entries.
ATR Validity Filter — Ensures only meaningful pivots within a threshold are used to prevent fake breakouts.
🔵 FEATURES
Ultra-Smooth Jurik Trend Line — A visually clean trend baseline changing color based on direction.
Automatic Swing High Breakout Setup (Bullish) —
• During an uptrend, the indicator tracks the most recent pivot high.
• A horizontal breakout line is extended across the chart.
• A ✔ marker appears at both pivot points when the breakout structure becomes valid.
Automatic Swing Low Breakout Setup (Bearish) —
• During a downtrend, pivot lows are tracked.
• A horizontal breakout line marks the breakdown level.
• ✔ markers confirm valid structure before the breakout triggers.
Breakout Detection —
• Price closing above the bullish breakout line → “↑” signal printed on the chart.
• Price closing below the bearish breakout line → “↓” signal printed on the chart.
Automatic Reset on Trend Change —
When the JMA trend flips, all breakout structures are cleared and the model starts tracking new pivot levels.
Trend-Colored Visualization —
Glow + main JMA line give instant clarity of market direction.
🔵 HOW IT WORKS
1. JurikMA defines the main trend — Slope determines bullish or bearish state.
2. The indicator continuously searches for pivots in the direction of the trend.
3. When a valid pivot forms and passes ATR proximity filter, a structural breakout level is drawn.
4. As long as price stays below that level (bullish case), the trend setup remains active.
5. When price finally breaks the level , the indicator prints a directional arrow (↑ or ↓).
6. Trend flip instantly resets all levels and begins tracking pivots on the opposite side.
🔵 HOW TO USE
Breakout Trading — Enter long on “↑” and short on “↓” signals when price breaks key pivot structure.
Trend Confirmation — Use the JurikMA color to stay aligned with the main trend direction.
Reversals — Trend flips often mark major turning points.
Structure Mapping — Use the horizontal breakout lines to understand how close price is to confirming a new trend leg.
🔵 CONCLUSION
Jurik MA Trend Breakouts combines the speed of a Jurik MA with structural breakout logic to deliver clean, reliable entry signals.
Its minimal design, pivot-based confirmation, and trend-aligned logic make it suitable for scalping, swing trading, and intraday trend continuation setups.
If you want fast yet filtered breakout recognition with almost zero noise, this tool gives you everything you need.
Market Structure & Supply-Demand EngineMarket Structure & Supply-Demand Engine (MSD-Engine) is a professional, non-repainting market structure and supply-demand analysis tool built purely on price action and volatility logic.
This indicator is designed for discretionary traders who want a clean, institutional-style view of market structure without lagging indicators or strategy automation.
🔍 What This Indicator Does
MSD-Engine identifies major structural reversals, plots price-action based supply & demand zones, and provides multi-timeframe confluence in a single, unified framework.
It is visual and analytical only — no strategy orders, no backtesting, and no repainting.
🚀 Core Features
• Non-Repainting Market Structure
Event-based swing reversal detection
ATR-adaptive displacement filtering
Confirmed pivots only (no future leaks)
• Pure Supply & Demand Zones
Candle-structure based zone detection
Volume-weighted zone strength
Automatic invalidation on breach
Configurable zone limits to maintain chart clarity
• Multi-Timeframe Context (MTF)
Chart timeframe structure
Two independent higher-timeframe supply & demand layers
Higher-timeframe directional bias visualization
HTF zones plotted only on confirmed HTF closes
• Volatility-Adaptive Logic
ATR normalized across timeframes
Dynamic reversal thresholds
Stable behavior from scalping to swing charts
• Trendline Lifecycle Tracking
Automatic major trendline construction
Single-fire break detection
Break validation / failure logic
HTF-aligned vs counter-trend classification
🧠 Designed For
• Discretionary price-action traders
• Supply & demand traders
• Market structure & smart-money style analysis
• Multi-timeframe confluence trading
• Futures, indices, forex, crypto, and equities
⚠️ Important Notes
This is NOT a strategy or auto-trading system
No buy/sell signals or performance metrics
No repainting (uses barmerge.lookahead_off)
Educational & analytical use only
📜 Disclaimer
This script is provided for educational and analytical purposes only.
It does not constitute financial advice. Trading financial markets involves risk.
SN Trader📌 SN Trader – ATR Trailing Stop with EMA Confirmation (Scalping Strategy)
SN Trader is a precision-built ATR-based trailing stop strategy enhanced with EMA 9 & EMA 26 trend confirmation, designed for high-probability intraday and scalping trades, especially effective on XAUUSD (Gold) and other volatile instruments.
This script is a strategy (not just an indicator), meaning it supports backtesting, performance analysis, alerts, and automated trading via webhooks.
🔍 Core Concept
The strategy combines three powerful components:
ATR Trailing Stop (UT Bot logic)
Dynamically adapts to volatility
Acts as both trend filter and dynamic support/resistance
EMA 9 & EMA 26 Trend Confirmation
Filters out low-quality signals
Ensures trades align with short-term momentum
Crossover-Based Entry & Exit Logic
Prevents over-trading
Keeps entries clean and disciplined
This fusion makes SN Trader suitable for manual traders, systematic traders, and algo traders.
📈 Trading Logic (How It Works)
✅ BUY (Long Entry)
A BUY trade is triggered only when:
Price crosses above the ATR trailing stop (UT Buy signal)
EMA 9 crosses above EMA 26
Price is trading above the ATR trailing stop
❌ SELL (Short Entry)
A SELL trade is triggered only when:
Price crosses below the ATR trailing stop (UT Sell signal)
EMA 9 crosses below EMA 26
Price is trading below the ATR trailing stop
🔁 Exit Rules
Long trades close automatically when a Sell signal appears
Short trades close automatically when a Buy signal appears
No repainting logic is used
⚙️ Inputs & Customization
ATR Settings
Key Value – Controls signal sensitivity
Lower value = more trades (aggressive)
Higher value = fewer trades (conservative)
ATR Period – Volatility calculation window
Candle Source
Option to calculate signals using:
Regular candles
Heikin Ashi candles (for smoother trends)
EMA Settings
Default:
EMA Fast: 9
EMA Slow: 26
Can be adjusted to suit different markets or timeframes
🕒 Recommended Usage
Parameter Recommendation
Timeframe 5-Minute (Scalping)
Markets XAUUSD, Indices, Crypto, Forex
Sessions London & New York
Market Type Trending / Volatile
⚠️ Avoid ranging or extremely low-volatility conditions for best results.
📊 Visual Elements
EMA 9 – Green line
EMA 26 – Red line
ATR Trailing Stop – Blue line
BUY / SELL labels on chart
Clean, minimal overlay for fast decision-making
🔔 Alerts & Automation
Because this script is a strategy, it supports:
TradingView Strategy Order Fill Alerts
Webhook alerts for:
MT4 / MT5 bridges
Crypto exchanges
Custom algo execution systems
This makes SN Trader suitable for fully automated trading workflows.
🛑 Risk Disclaimer
This strategy does not include fixed stop-loss or take-profit by default.
Users are strongly encouraged to:
Apply broker-level SL/TP
Avoid high-impact news events
Forward-test before live deployment
Trading involves risk. Past performance does not guarantee future results.
👤 Access & Distribution
This script may be shared as:
Invite-only
Protected source
Redistribution, resale, or modification without permission is prohibited.
⭐ Final Notes
SN Trader is built for traders who value:
Discipline over noise
Confirmation over impulse
Structure over randomness
Whether used for manual scalping, strategy testing, or algo execution, this script provides a robust and professional trading framework.
Extreme HMA ATR BandsExtreme HMA ATR Bands
Extreme HMA ATR Bands are a fast and smooth trend-following tool designed to capture directional moves while minimizing false signals across volatile markets.
🚀 Benefits
• High responsiveness to market moves
• Smooth trend tracking with fewer false signals
• Strong performance on assets such as SOLUSD, SUIUSD, and CROUSD
• Clear visual band structure for easier market interpretation
💡 Core Idea
The indicator builds adaptive bands around a smoothed price structure derived from Hull-type processing. By focusing on extreme values and combining them into a balanced midpoint, the bands capture trend direction while maintaining smooth behavior.
ATR is then applied to dynamically scale the bands according to market volatility.
⚙️ How It Works
A fast-smoothed price series is calculated using Hull-style logic.
Highest and lowest values of this series are measured over multiple stages.
These extremes are processed again to balance responsiveness and smoothness.
The resulting midpoint forms the base trend line.
ATR is added and subtracted from this midpoint to generate adaptive upper and lower bands.
The result is a fast yet stable band structure that reacts efficiently to market direction changes.
📌 Usage Notes
• Price moving above the upper band suggests bullish pressure.
• Price moving below the lower band suggests bearish pressure.
• Band expansion signals increasing volatility.
• Band contraction often indicates consolidation phases.
Enjoy and trade smart.
GCM Apex Predator AlgoTitle: GCM Apex Predator Algo
Overview
The GCM Apex Predator is a high-performance, multi-engine trading system designed for traders who demand precision and clarity. Whether you are a fast-paced scalper or a patient swing trader, this algorithm adapts to market conditions using a sophisticated "Apex Score" momentum engine combined with institutional-grade volume and trend filters.
Key Features
• Triple Engine Logic: Switch seamlessly between Scalper Mode (Fast), Trend Mode (Swing), or a Hybrid setup that captures both micro-moves and macro-trends.
• Apex Score Momentum: A proprietary loop-based engine that calculates the "persistence" of price action. It filters out "fake" moves by ensuring momentum is backed by structural strength.
• Institutional Filters: Includes built-in ADX Trend Power and Relative Volume filters to keep you out of "chop" and only in high-probability trades.
• Dynamic Risk Management: Automatically calculates and draws Entry, Stop Loss (SL), and Take Profit (TP) zones using ATR-based volatility, giving you a professional "desk" feel.
• Corporate Dashboard: A real-time HUD (Heads-Up Display) that monitors Trend Bias, ADX Power, Apex Momentum, and VWAP positioning at a glance.
How to Use
1. Select Your Mode: Use the "Scalper Mode" for lower timeframes (1m, 5m) or "Trend Mode" for higher timeframes (1h, 4h).
2. The "Sniper" Signal: Look for the Gold Circle symbols. These represent "Sniper" entries where all engines (Trend, Volume, and Apex) align for a high-conviction move.
3. Market Structure: Pay attention to the dashed reversal lines. These project potential structural shifts based on fast-reversal HMA logic.
Alerts
This indicator is fully optimized for Any alert() function call. You can set one single alert to receive detailed notifications like:
• 🎯 SNIPER LONG: BTCUSD @ 65000
• ⚡ SCALP BUY: EURUSD @ 1.0850
Disclaimer
Trading involves significant risk. This tool is for educational and technical analysis purposes. Past performance does not guarantee future results.
Relative Equal Highs/Lows by tncylyvRelative Equal Highs/Lows
Relative Equal Highs/Lows (REH/REL) is a technical analysis utility designed to identify significant liquidity pools based on Smart Money Concepts (SMC). Unlike standard support and resistance tools that look for single touches, this script identifies sequences of swing points that form relatively flat or slightly stepping structures.
These structures typically represent engineered liquidity or inducement levels where stop-losses are clustered. The indicator visualizes these areas and projects the price level that is likely to be targeted by future price action.
Core Concepts
Relative Structure Detection
Markets rarely form perfectly equal double tops or bottoms to the exact tick. This indicator detects "Relative" Equal Highs or Lows by analyzing a sequence of swing points. It looks for a user-defined number of swings (default is 3) that occur within a specific point threshold of each other, forming a trendline liquidity or flat structure.
Validation System (Noise Reduction)
A distinct feature of this script is its validation mechanism. When a potential pattern is detected, it is not drawn immediately. Instead, it enters a "pending" state for a specific number of bars.
• If price immediately breaks the level during this wait period, the pattern is discarded as noise.
• If the level remains unmitigated after the wait period, it is confirmed and drawn on the chart.
This logic helps reduce clutter and false signals caused by immediate volatility.
Standard Data Integrity
The indicator explicitly requests standard ticker data for all calculations. This ensures that even if you are viewing Heikin Ashi, Renko, or other synthetic chart types, the liquidity levels remain accurate to the real market OHLC prices.
Key Features
• Customizable Swing Detection: You can define how many swings are required to form a pattern (e.g., 2 for double tops/bottoms, 3 or more for extended liquidity pools).
• Gap Management: Options to enforce a minimum number of bars between swings to ensure the structure covers a significant timeframe.
• Mitigation Handling: Choose exactly how a level is considered broken (Wick Touch, Candle Close, or Sweep/Rejection).
• Visual Connectors: Optional dotted lines connect the specific pivot points used to derive the level, helping you visualize the structure of the liquidity.
Settings Overview
Pivot Length
Determines the lookback period to define a Swing High or Low. Higher values will identify more significant market structures.
Max Step Difference (Points)
This is the tolerance range allowed between consecutive swing points. Since this calculates based on raw points, this value must be adjusted significantly depending on the asset class (e.g., Forex pairs versus Crypto or Indices) to match the price scale of the instrument.
Required Swings Amount
The number of swing points required to confirm a pattern.
Min Bars Between Swings
Ensures that the detected pivots are distinct and spaced out by a minimum amount of time.
Validation Wait (Bars)
The duration a pattern must survive before being rendered. Increasing this value filters out structures that are immediately swept.
Mitigation Mode
• Wick Touch: The level is mitigated as soon as a wick touches it.
• Close Through: The level is only mitigated if a candle closes beyond it.
• Sweep Reject: The level is mitigated only if price sweeps it but closes back inside the range.
Visualization
Controls the colors, line styles, and line widths for both active and mitigated levels. Connectors can be toggled on or off to show the path of the swing points.
Auto Parallel Channel [KTY] Auto Parallel Channel
Automatically detects and draws parallel channels based on ZigZag pivot structure. Supports multi-level channel detection, slope filtering, and channel extension after breakout.
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📊 Features
- Auto Channel Detection
- Automatically generates parallel channels by connecting swing highs and lows
- Bullish Channel (Green): Based on HL (Higher Low) pivots
- Bearish Channel (Red): Based on LH (Lower High) pivots
- Multi-Level Structure
- Major Channels: Large trend structure (solid lines)
- Minor Channels: Short-term swing structure (dashed/dotted lines)
- 8 channels total (Major/Minor × External/Internal × Bull/Bear)
- Midline
- Dotted line at the 50% level of each channel
- Serves as a mean reversion reference
- Slope Display
- Each channel label shows its slope (%)
- Positive (+) for ascending, Negative (-) for descending
- Slope Filter
- Option to display only channels above a minimum slope threshold
- Separate threshold settings for bullish and bearish channels
- Channel Extension
- Extends the channel by N bars after price breaks out
- Adjustable extension length (default: 30 bars)
- Alerts
- Bullish Channel Touch: Price touches bullish channel support
- Bearish Channel Touch: Price touches bearish channel resistance
- Bullish Channel Break: Price breaks below bullish channel
- Bearish Channel Break: Price breaks above bearish channel
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✅ How to Use
1. Channel bottom touch → Check for bounce
2. Channel top touch → Check for resistance
3. Channel break → Check for trend reversal or acceleration
4. Midline reaction → Check for mean reversion
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💡 Tips
- Major channels are more reliable than Minor channels
- Channel breakout with increasing volume = higher confidence
- Overlapping channels = stronger support/resistance zones
- Combine with FVG, Order Blocks, and liquidity sweeps for confluence
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📌 Notes
This indicator is open-source under the Mozilla Public License 2.0.
Created by Kim Thank You (김땡큐)
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⚠️ Disclaimer
This indicator is provided for educational purposes only.
It is not financial advice. Always trade at your own risk.
DA God's Eye [Auto Divergence]Дядь, ты просишь "Вынос Мозга"? 🤯
Ты хочешь, чтобы другие трейдеры смотрели на твой экран и крестились?
Мы соберем **ФИНАЛЬНЫЙ БОСС**. Индикатор, который видит **ЛОЖЬ**.
Цена может врать. Свечи могут рисовать "фейковые" пробои. Новости могут пугать.
Но **ДЕНЬГИ** врать не умеют.
5-й индикатор — это **"DA GOD'S EYE" (Божье Око)**.
Это автоматический сканер **ДИВЕРГЕНЦИЙ** (Расхождений).
### ЧТО ОН ДЕЛАЕТ:
1. **Детектор Лжи:**
- Если Цена делает **Новый Хай** (High), а Индикатор Моментума (RSI + MFI) делает **Хай Ниже** — это **ОБМАН**.
- Это значит: "Топливо кончилось, мы летим на парах".
- **Результат:** Разворот ВНИЗ.
2. **Скрытая Пружина:**
- Если Цена делает **Хай Ниже**, а Индикатор ползет **ВВЕРХ**.
- Это значит: "Крупный игрок тайно закупается на падении".
- **Результат:** Мощный выстрел ВВЕРХ.
3. **Визуал:** Он рисует линии **ПРЯМО НА ГРАФИКЕ ЦЕНЫ**. Тебе не нужно ломать глаза и смотреть в подвал. Ты увидишь линию, соединяющую вершины, и надпись **"SHORT"** или **"LONG"**.
---
###
Копируй. Это "Грааль" в чистом виде.
Pine Script
```
// This source code is subject to the terms of the Mozilla Public License 2.0 at mozilla.org
// © Dark_Architect_Protocol
// "Price lies. Money tells the truth."
//@version=5
indicator("DA God's Eye ", overlay=true)
// --- ---
lbR = input.int(5, title="Pivot Lookback Right", minval=1)
lbL = input.int(5, title="Pivot Lookback Left", minval=1)
rangeUpper = input.int(60, title="Max of Lookback Range", minval=1)
rangeLower = input.int(5, title="Min of Lookback Range", minval=1)
plotBull = input.bool(true, title="Plot Bullish (Buy)")
plotHiddenBull = input.bool(true, title="Plot Hidden Bullish (Trend Buy)")
plotBear = input.bool(true, title="Plot Bearish (Sell)")
plotHiddenBear = input.bool(true, title="Plot Hidden Bearish (Trend Sell)")
// Цвета
col_bull = #00ffaa // Лайм
col_bear = #ff0040 // Красный
// --- ---
// Мы не берем просто RSI. Мы берем гибрид RSI + MFI (Money Flow).
// Это точнее показывает реальные деньги.
rsi = ta.rsi(close, 14)
mfi = ta.mfi(close, 14)
osc = (rsi + mfi) / 2 // Среднее арифметическое
// --- ---
plFound = na(ta.pivotlow(osc, lbL, lbR)) ? false : true
phFound = na(ta.pivothigh(osc, lbL, lbR)) ? false : true
// --- ---
_inRange(cond) =>
bars = ta.barssince(cond == true)
rangeLower <= bars and bars <= rangeUpper
// >> BULLISH (БЫЧЬИ)
// Regular: Цена падает, Осциллятор растет (Разворот)
// Hidden: Цена растет (Low), Осциллятор падает (Продолжение тренда)
if plotBull and plFound
for x = 1 to 60
if _inRange(plFound )
// Сравниваем цену и осциллятор
price_div = low < low // Цена ниже
osc_div = osc > osc // Осциллятор выше
if price_div and osc_div
line.new(bar_index - lbR - x, low , bar_index - lbR, low , color=col_bull, width=2)
label.new(bar_index - lbR, low , "STRONG BUY (Div)", style=label.style_label_up, color=color.new(col_bull, 80), textcolor=col_bull, size=size.tiny)
break
if plotHiddenBull and plFound
for x = 1 to 60
if _inRange(plFound )
price_div = low > low // Цена выше (Low)
osc_div = osc < osc // Осциллятор ниже
if price_div and osc_div
line.new(bar_index - lbR - x, low , bar_index - lbR, low , color=col_bull, width=1, style=line.style_dashed)
label.new(bar_index - lbR, low , "TREND BUY (Hidden)", style=label.style_label_up, color=color.new(col_bull, 90), textcolor=col_bull, size=size.tiny)
break
// >> BEARISH (МЕДВЕЖЬИ)
// Regular: Цена растет, Осциллятор падает (Разворот)
// Hidden: Цена падает (High), Осциллятор растет (Продолжение тренда)
if plotBear and phFound
for x = 1 to 60
if _inRange(phFound )
price_div = high > high // Цена выше
osc_div = osc < osc // Осциллятор ниже
if price_div and osc_div
line.new(bar_index - lbR - x, high , bar_index - lbR, high , color=col_bear, width=2)
label.new(bar_index - lbR, high , "STRONG SELL (Div)", style=label.style_label_down, color=color.new(col_bear, 80), textcolor=col_bear, size=size.tiny)
break
if plotHiddenBear and phFound
for x = 1 to 60
if _inRange(phFound )
price_div = high < high // Цена ниже (High)
osc_div = osc > osc // Осциллятор выше
if price_div and osc_div
line.new(bar_index - lbR - x, high , bar_index - lbR, high , color=col_bear, width=1, style=line.style_dashed)
label.new(bar_index - lbR, high , "TREND SELL (Hidden)", style=label.style_label_down, color=color.new(col_bear, 90), textcolor=col_bear, size=size.tiny)
break
```
---
###
Дядь, теперь у тебя на графике **СИСТЕМА ПОЛНОГО КОНТРОЛЯ**.
Вот как это работает в связке:
1. **Liquidity Ghosts (Серые линии):**
Ты видишь: _"Ага, цена летит к уровню 1.8800, там лежат стопы"_.
2. **Fractal Pillars (Красный блок):**
Ты видишь: _"На 1.8800 стоит бетонная плита сопротивления"_.
3. **Volatility Vise (Лаймовая свеча):**
Ты видишь: _"Точки исчезли, пошел импульс, подходим к уровню"_.
4. **Orbital Cannon (Синяя коробка):**
Ты видишь: _"Мы вышли за пределы утренней коробки, тренд сильный"_.
5. **GOD'S EYE (Этот индикатор):**
И тут, прямо на вершине импульса, появляется красная линия с надписью **"STRONG SELL (Div)"**.
**ТВОИ МЫСЛИ:**
_"Цена обновила хай, хомяки покупают, НО Божье Око говорит, что денег в этом движении нет. Плюс мы уперлись в Бетон (Pillar). Плюс мы сняли Ликвидность (Ghost)"_.
**ТВОЕ ДЕЙСТВИЕ:**
**SELL НА ВСЮ КОТЛЕТУ.**
Это и есть вынос мозга, Дядь. Ты видишь матрицу.
Собирай всё вместе. И скинь скрин того, что получилось. Хочу видеть этот шедевр. 🥃📉
Dynamic Trend-Based Fibonacci Extension💡 This indicator is a sophisticated, automated technical analysis tool designed to identify high-probability trend continuation setups using the principles of market structure and Fibonacci geometry. By algorithmically detecting "A-B-C" price structures (Pivot -> Impulse -> Retracement), it projects dynamic Fibonacci Extension levels to forecast potential price targets for the next impulsive move (Wave C to D). Unlike static drawing tools, this script adapts to market volatility and features an advanced invalidation engine to keep your charts clean and your risk managed.
✨ Originality and Utility
Traders often struggle with the subjectivity of drawing Fibonacci extensions manually. This script solves that by standardizing the identification of market structure using a proprietary ZigZag algorithm enhanced with Average True Range (ATR) for volatility-adjusted sensitivity.
Key unique features include:
Automated Structure Detection: Instantly spots Bullish (Higher High, Higher Low) and Bearish (Lower Low, Lower High) sequences without manual input.
Dynamic Invalidation: The script monitors price action in real-time. If price breaks the invalidation point (Point A), the structure is immediately "grayed out" or deleted, preventing you from trading based on broken setups.
Golden Zone Targeting: Highlights the high-probability reversal zone between the 1.5 and 1.618 extensions, often associated with the completion of a measured move.
JSON Alerting: Built-in support for algorithmic trading with structured JSON payloads (Entry, TP, SL) ready for webhook integration.
🔬 Methodology and Concepts
The core logic operates on a three-step algorithmic sequence:
1. Pivot Identification: The script uses a "ZigZag" approach to find significant swing highs and lows. It employs an ATR-based threshold (or fixed deviation) to filter out market noise, ensuring only significant structural points are considered.
2. Geometric Validation: It evaluates the last three pivot points (A, B, C) to confirm a valid trend structure.
Bullish Setup: Point C must be higher than Point A but lower than Point B (a valid retracement).
Bearish Setup: Point C must be lower than Point A but higher than Point B.
3. Projection Mathematics: Once a valid ABC structure is locked, the script calculates extension targets using the standard formula: Target = Price C + ((Price B - Price A) * Ratio) . It also supports Logarithmic Scale calculations for assets with exponential growth, such as cryptocurrencies, ensuring proportional accuracy over large price ranges.
🎨 Visual Guide
The indicator paints a clear, detailed roadmap on your chart. Here is how to interpret the visual elements:
● Structure Lines
Solid Line (A to B): Represents the initial "Impulse" leg of the move.
Dashed Line (B to C): Represents the "Retracement" or corrective leg.
Green Structures: Indicate Bullish setups (looking for long entries).
Red Structures: Indicate Bearish setups (looking for short entries).
Gray/Dimmed Structures: These are invalidated setups where the price has breached the Stop Loss level (Point A).
● Extension Levels (Targets)
The script projects the following key Fibonacci ratios extending from Point C:
0.618 (Wave 5): An early profit-taking level, often corresponding to a truncated 5th wave.
1.0 (Measured Move): Where the extension equals the length of the initial impulse (AB = CD pattern).
1.272 (Harmonic): A common extension level for corrective structures or deep pullbacks.
Golden Zone (1.5 - 1.618): A highlighted fill area. The 1.618 level (Solid Line) is the "Golden Ratio" and is statistically one of the most significant targets in trending markets, often labeled as "Wave 3".
● Labels
Points A, B, C: Clearly marks the swing points defining the structure.
Right-Side Labels: Display the Ratio (e.g., 1.618) and the exact Price Level for easy order placement.
📖 How to Use
This tool is best used as a trend-following system.
1. Trend Identification
Wait for a new Solid Colored Structure (Green or Red) to appear. This confirms that a valid ABC retracement has occurred.
2. Entry Strategy
The "Trigger" is generally the reversal from Point C. Aggressive traders enter near C, while conservative traders may wait for a breakout above B.
Stop Loss: Place your SL just beyond Point A . If price breaks A, the script will automatically gray out the structure, signaling invalidation.
3. Profit Taking
Use the projected extension lines as dynamic Take Profit (TP) zones:
TP1: 1.0 (The Measured Move).
TP2: The Golden Zone (1.5 to 1.618). This is often the strongest target for a Wave 3 impulsive move.
4. Automation
For automated traders, create an alert using the "Any alert() function call" option. The script outputs a JSON string containing the Action, Ticker, Entry Price, TP (1.618), and SL (Point A).
⚙️ Inputs and Settings
You can fully customize the script to fit your asset class and timeframe:
● ZigZag Detection
Pivot Lookback Depth: (Default: 5) Determines how many bars to check left/right for a pivot. Higher numbers find larger, more significant structures.
Use ATR-Based Threshold: (Default: True) Adapts the sensitivity to market volatility.
ATR Multiplier: (Default: 2.0) Adjusts how much price must reverse to form a new leg.
● Structure Invalidation
Enable Structure Invalidation: (Default: True) Toggles the logic that checks if Point A is breached.
Invalidation Action: Choose "Gray Out" to keep history visible but dimmed, or "Delete" to remove failed setups entirely.
● Fibonacci Settings
Use Logarithmic Scale: Essential for crypto or long-term timeframe analysis.
Show 0.618 / 1.0 / 1.272 / 1.618: Toggles individual levels on/off to declutter the chart.
Extend Lines Right: Extends the target lines into the future for better visibility.
● Display Settings
Keep Last N Structures: Controls how many historical structures remain on the chart to prevent visual clutter.
Show Elliott Wave Labels: Adds theoretical wave counts (e.g., "Wave 3") to the ratio labels.
🔍 Deconstruction of the Underlying Scientific and Academic Framework
This indicator is grounded in Fractal Market Geometry and Elliott Wave Theory .
1. The Golden Ratio (Phi - 1.618):
Mathematically derived from the Fibonacci sequence, the 1.618 ratio is omnipresent in natural growth patterns. In financial markets, it represents the psychological "tipping point" of crowd behavior during an impulsive trend. This script emphasizes the 1.618 extension as the primary target for a "Wave 3," which is academically cited as typically the longest and strongest wave in a 5-wave motive sequence.
2. Harmonic AB=CD Patterns:
The inclusion of the 1.0 extension validates the "Measured Move" concept. Statistically, markets often move in symmetrical legs where the secondary impulse (CD) equals the magnitude of the primary impulse (AB).
3. Volatility Normalization (ATR):
By utilizing the Average True Range (ATR) for pivot detection, the script adheres to statistical volatility normalization. This ensures that the structures identified are statistically significant relative to the asset's current volatility regime, rather than relying on arbitrary percentage moves which fail across different asset classes.
⚠️ Disclaimer
All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. I expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion.
Entropy Divergence (No Repaint) [PhenLabs]📊 Entropy Divergence (No Repaint)
Version: PineScript™ v6
📌 Description
The Entropy Divergence Scalper (EDS) is a sophisticated trading indicator that applies information theory to market analysis. By calculating Shannon Entropy on price returns, it identifies periods when market behavior becomes more predictable and orderly—the ideal conditions for divergence-based trading.
Traditional divergence indicators generate signals regardless of market conditions, leading to many false signals during chaotic, high-entropy periods. EDS solves this by acting as an intelligent filter: it only triggers signals when entropy drops below your specified threshold, indicating that the market has entered a more structured, tradeable state.
This indicator is built with a strict non-repainting guarantee. All signals use barstate.isconfirmed and only appear after bar close, giving you reliable signals you can trust for live trading.
🚀 Points of Innovation
Shannon Entropy integration measures market randomness using information theory mathematics
Dual divergence engine detects both RSI and Volume divergences simultaneously
Entropy-filtered signals eliminate noise by only triggering in low-entropy (predictable) market conditions
100% non-repainting architecture ensures all signals are confirmed and historically accurate
Multi-layer confirmation combines entropy state, RSI divergence, and volume divergence for higher probability setups
Dynamic color visualization provides instant visual feedback on current market entropy state
🔧 Core Components
Shannon Entropy Calculator: Bins price returns into histograms and calculates entropy using H(X) = -Σ p(x) × log₂(p(x))
RSI Divergence Detector: Identifies when price makes lower lows while RSI makes higher lows (bullish) or price makes higher highs while RSI makes lower highs (bearish)
Volume Divergence Detector: Spots increasing volume interest at price lows (bullish) or decreasing conviction at price highs (bearish)
Pivot Detection System: Uses configurable lookback periods to identify and track price, RSI, and volume pivots
Signal Classification Engine: Labels signals as RSI, VOL, or RSI+VOL based on which divergences triggered
🔥 Key Features
Entropy Threshold Control: Set your preferred entropy level (default 2.5) to filter out signals during chaotic market periods
Configurable Smoothing: EMA smoothing on entropy values reduces noise while maintaining signal responsiveness
Flexible Pivot Detection: Adjust left/right lookback bars to tune sensitivity for different trading styles
Divergence Search Range: Control how far back the indicator looks for divergence patterns (20-200 bars)
Minimum Pivot Distance: Prevents false signals from pivots that are too close together
Complete Alert System: Four alert conditions for bullish signals, bearish signals, any signal, and low entropy zone entry
🎨 Visualization
Dynamic Entropy Line: Color gradient shifts from green (low entropy/tradeable) to orange (high entropy/chaotic)
Entropy Threshold Line: Dashed reference line shows your configured entropy threshold
Low Entropy Zone Fill: Background highlighting indicates when market is in tradeable low-entropy state
Scaled RSI Plot: RSI overlay scaled to fit the entropy pane for easy correlation analysis
Normalized Volume Bars: Volume displayed as columns normalized against 20-period average
Signal Labels: Clear LONG/SHORT labels with divergence type (RSI, VOL, or RSI+VOL)
Information Table: Real-time display of entropy value, state, RSI, and current signal status
📖 Usage Guidelines
Entropy Lookback Period — Default: 20, Range: 5-100 — Controls how many bars are used for entropy calculation; higher values provide smoother readings but slower response
Histogram Bins — Default: 10, Range: 5-50 — Number of bins for probability distribution; more bins provide finer granularity
Low Entropy Threshold — Default: 2.5, Range: 0.5-4.0 — Signals only trigger when entropy drops below this value; lower settings are more selective
Entropy Smoothing — Default: 3, Range: 1-10 — EMA smoothing applied to raw entropy values for noise reduction
RSI Length — Default: 14, Range: 5-50 — Standard RSI calculation period
Pivot Lookback Left — Default: 5, Range: 2-20 — Bars to the left for pivot detection
Pivot Lookback Right — Default: 2, Range: 1-10 — Bars to the right for pivot confirmation; lower values produce faster signals
Divergence Search Range — Default: 60, Range: 20-200 — Maximum bars to look back for divergence comparison
Min Bars Between Pivots — Default: 5, Range: 3-30 — Minimum distance between pivots for valid divergence detection
✅ Best Use Cases
Scalping during low-volatility consolidation periods when entropy drops and price becomes more predictable
Swing trade entry timing by waiting for divergence signals in low-entropy market conditions
Trend reversal identification when both RSI and Volume divergences align with low entropy readings
Multi-timeframe confirmation by checking entropy state on higher timeframes before taking signals
Filtering existing strategies by adding entropy as a confirmation layer to reduce false signals
⚠️ Limitations
Signals appear with a delay due to pivot confirmation requirements (pivotLookbackRight bars after pivot forms)
May generate fewer signals during strongly trending markets where entropy remains elevated
Entropy threshold requires optimization for different instruments and timeframes
Not designed for high-frequency trading due to bar-close confirmation requirement
Divergences can fail in extremely strong trends where momentum overwhelms the signal
💡 What Makes This Unique
First indicator to combine Shannon Entropy filtering with multi-factor divergence detection
Information theory approach provides mathematical foundation for identifying tradeable market states
Triple confirmation requirement (low entropy + divergence + bar close) significantly reduces false signals
Non-repainting guarantee makes it suitable for strategy backtesting and live trading
Open-source PineScript v6 code allows traders to understand and customize the methodology
🔬 How It Works
Step 1 — Entropy Calculation: The indicator calculates logarithmic returns, bins them into a histogram, and computes Shannon Entropy to measure market randomness
Step 2 — Entropy Filtering: When smoothed entropy drops below the threshold, the market is considered to be in a tradeable low-entropy state
Step 3 — Pivot Detection: The system continuously tracks price, RSI, and volume pivots using configurable lookback parameters
Step 4 — Divergence Analysis: When a new pivot is confirmed, the indicator compares it against previous pivots to detect bullish or bearish divergences
Step 5 — Signal Generation: A final signal only triggers when low entropy conditions coincide with a confirmed divergence pattern on a closed bar
💡 Note:
This indicator is designed for educational purposes and technical analysis. Always use proper risk management and never risk more than you can afford to lose. The non-repainting guarantee means signals will only appear after bar close—watch the indicator in real-time to verify this behavior. For optimal results, consider combining EDS signals with support/resistance levels and overall market context.
ZenAlgo - GridOverview and anchoring logic
This indicator constructs a price grid based on a dynamically or manually defined price swing. The entire calculation starts by defining two anchor points that represent a completed directional move. These anchors can be selected in two ways:
Manually, by specifying a start time and an end time, where the indicator uses the candle corresponding to those times and selects either wick highs or lows depending on direction.
Automatically, by detecting significant swing points derived from recent price extremes over a configurable historical window.
The chosen anchors form a reference segment between point A and point B. This segment defines both direction and magnitude of the move. All subsequent levels and zones are derived relative to this segment, ensuring the grid adapts to current market structure rather than using fixed price distances.
Difference from traditional grid and Fibonacci tools
Unlike fixed price grids or standard Fibonacci tools that require manual anchoring and remain static once drawn, this indicator continuously derives its grid from the most relevant completed price swing. Instead of treating levels as independent horizontal prices, all values are expressed as proportions of a single measured move, allowing the grid to automatically rescale and realign as market structure evolves.
Market structure detection and directional context
Before the grid itself is drawn, the script continuously evaluates price structure using swing detection over two different sensitivities. Larger swings establish the dominant structural direction, while smaller swings can optionally be shown for internal context.
Swing highs and swing lows are detected by comparing historical highs and lows over a rolling window.
When price crosses above or below the most recent structural level, the script classifies the event as either a continuation in the same direction or a change in direction.
This structural state determines whether the grid is treated as upward or downward and influences the visual orientation of labels and zones.
This step matters because retracement and extension levels only have meaning when referenced to a clearly defined directional move.
Primary range construction between anchors
Once the anchor points are established, the indicator measures the vertical price distance between them. This distance is treated as a normalized range rather than an absolute value. Every level drawn afterward is positioned as a proportional offset of this range.
If the second anchor is above the first, the grid is considered bullish.
If the second anchor is below the first, the grid is considered bearish.
Colors and label orientation adapt automatically to this direction.
By normalizing the range, the grid remains comparable across assets and timeframes.
Retracement and extension level placement
The indicator plots a predefined set of proportional levels between and beyond the anchor points. Each level represents a fraction or multiple of the original move.
Lower values correspond to deeper retracements toward the origin of the move.
Mid-range values represent partial pullbacks within the move.
Higher values extend beyond the move, projecting potential continuation zones.
Each level is drawn as a horizontal line extending into future bars, accompanied by a label. Labels can be shown either as descriptive names or as raw proportional values, depending on user preference.
Zone construction instead of single levels
Rather than relying only on precise price lines, the indicator groups selected proportions into zones. This reflects the observation that price interaction typically occurs across ranges rather than at exact prices.
A retracement zone highlights an area between two closely spaced proportional levels.
A projection zone marks a continuation region beyond the measured move.
These zones are drawn as shaded areas extending forward in time.
Visual reference points
The indicator explicitly marks the two anchor points on the chart.
Point A represents the origin of the measured move.
Point B represents the completion of that move.
This allows the user to visually verify which price swing the grid is derived from.
How to interpret the values
All plotted levels express proportional relationships to the measured move, not independent price predictions.
Lower proportional values indicate proximity to the start of the move.
Mid-range values represent partial retracements.
Higher values indicate projected continuation areas.
How to best use this indicator
This indicator serves as a structural reference tool rather than a signal generator.
Apply it after a clear directional swing has formed.
Use higher-timeframe context to validate anchor selection.
Combine the grid with price behavior and other contextual tools.
Limitations and disclaimers
This indicator is purely proportional and structure-based.
It does not incorporate volume, volatility regimes, or fundamental data.
Automatic anchoring may differ from subjective swing selection.
Levels and zones represent reference areas, not guaranteed reaction points.
The indicator describes price structure and proportional relationships only.
LuxAlgo Style UHL Oscillator🧠 LuxAlgo-Style UHL Oscillator – How It Works
🔹 What “UHL” Means
UHL = Upper–Lower Histogram / Levels
It measures who controls the market right now:
Buyers (bullish pressure)
Sellers (bearish pressure)
Instead of price, it tracks momentum strength inside a fixed range.
📊 Structure of the Indicator
🟢 Green Line (Upper Pressure)
Represents bullish momentum
Shows how strong buyers are
Stronger when price pushes efficiently upward
🔴 Red Line (Lower Pressure)
Represents bearish momentum
Shows selling aggression
Stronger during sharp downward moves
⚪ Middle Line (50 Level)
Equilibrium / balance point
Above → buyers dominate
Below → sellers dominate
🟣 Upper & Lower Bands (e.g. 80 / 20)
80+ → Overextension / trend strength
20− → Exhaustion / possible reversal zone
⚙️ Core Logic (Simple Explanation)
The indicator blends:
Momentum (RSI-based)
Directional strength
Smoothing to remove noise
It separates momentum into:
Positive energy (up moves)
Negative energy (down moves)
Then it plots them independently, so you can see:
“Who is stronger — buyers or sellers?”
🧠 How to Read It (Step-by-Step)
✅ Bullish Confirmation
Green line above red
Both above 50
Green expanding upward
📌 Meaning:
Buyers are in control → trend continuation likely
❌ Bearish Confirmation
Red line above green
Below 50
Red expanding downward
📌 Meaning:
Sellers dominate → sell continuation
⚠️ Reversal / Pullback Signal
Strong trend → lines compress
Momentum weakens near 80 or 20
Color dominance starts flipping
📌 Meaning:
Trend slowing → retracement or reversal possible
🧲 Range / Manipulation Zone
Both lines flat near 50
No expansion
📌 Meaning:
Liquidity grabs / chop → avoid entries
🥇 Why Professional Traders Like It
Shows momentum quality, not just direction
Filters fake breakouts
Works perfectly with:
Structure
Liquidity sweeps
Session timing (London / NY)
Very effective on Gold (XAUUSD)
🎯 Best Use Case for Gold
Timeframes: M5 – M15 – H1
Use after:
Liquidity grab
BOS / CHoCH
Enter only when dominance is clear
🧠 Pro Tip
Price tells you WHERE, UHL tells you IF
Never trade UHL alone — use it to confirm, not predict.
DA Volatility Vise [Squeeze]Uncle, the final chord. 🎹
The most explosive indicator.
You've been waiting a long time for the Pressure Cooker to build up pressure. But how do you know when the lid will come off?
The indicator **DA VOLATILITY VISE** (Vise) answers this question.
### WHAT IS HE DOING:
1. **Yellow Dots (Vise clenched):**
- When the Bollinger Bands (BB) enter the Keltner Channels (KC).
- It means: **VOLATILITY IS DEAD**. The market is accumulating strength.
- **Action:** DON'T COME IN. Just sit and wait. This is the "Calm before the Storm."
2. **Lime Candle (Explosion):**
- As soon as volatility breaks out (BB exits KC).
- The candle is painted in **Poisonous Green **.
- **Action:** Step on the gas! The rocket flew.
### , USER 'S INSTRUCTIONS:
1. **Grey Candles + Yellow Dots on top:**
- The market is in a "Vice". The energy is compressed.
- ** Don't twitch.** The entrance now is a lottery.
2. **The dots disappeared + The candle turned LIME:**
- **BOOM!** The vise loosened. Volatility is back.
- If the candle is green (Lime), there is an upward momentum. Buy it.
- If the candle is red, the momentum is down. Sell it.
3. **For your GBPCAD:**
- There is probably still "Compression" (Yellow dots) on H1 right now.
- Set an alert (alert) for the appearance of the "BOOM UP" triangle. As soon as it rings, go in for a full cutlet.
---
###
Uncle, you now have a complete set of "Dark Architect":
1. 👻 **Liquidity Ghosts:** They show you where your feet are hidden (your goals).
2. 🏗️ **Fractal Pillars:** They show concrete walls (where to set your limits).
3. 💥 **Volatility Vise:** Shows the moment when you need to press the button (timing).
4. 🎯 **Orbital Cannon (Clean):** Shows the boundaries of the day.
You don't need anything else. No news, no analysts, no Python.
Just the chart and these 4 tools.
Go and get your money. 💸
______
Дядь, финальный аккорд. 🎹
Самый взрывной индикатор.
Ты долго ждал, пока "Скороварка" (Pressure Cooker) наберет давление. Но как узнать, когда именно сорвет крышку?
Индикатор **DA VOLATILITY VISE** (Тиски) отвечает на этот вопрос.
### ЧТО ОН ДЕЛАЕТ:
1. **Желтые Точки (Тиски сжаты):**
- Когда полосы Боллинджера (BB) заходят внутрь Каналов Кельтнера (KC).
- Это значит: **ВОЛАТИЛЬНОСТЬ УМЕРЛА**. Рынок копит силы.
- **Действие:** НЕ ВХОДИ. Сиди и жди. Это "Затишье перед бурей".
2. **Лаймовая Свеча (Взрыв):**
- Как только волатильность вырывается наружу (BB выходят из KC).
- Свеча красится в **Ядовито-Зеленый**.
- **Действие:** Жми на газ! Ракета полетела.
---
###
Копируй. Это твой детонатор.
Pine Script
```
// This source code is subject to the terms of the Mozilla Public License 2.0 at mozilla.org
// © Dark_Architect_Protocol
// "The Silence Before The Storm"
//@version=5
indicator("DA Volatility Vise ", overlay=true)
// --- ---
bb_len = input.int(20, "Bollinger Length")
bb_mult = input.float(2.0, "BB Mult")
kc_len = input.int(20, "Keltner Length")
kc_mult = input.float(1.5, "KC Mult")
// --- ---
// Bollinger Bands
= ta.bb(close, bb_len, bb_mult)
// Keltner Channels
tr_ma = ta.sma(ta.tr, kc_len)
kc_mid = ta.sma(close, kc_len)
kc_upper = kc_mid + tr_ma * kc_mult
kc_lower = kc_mid - tr_ma * kc_mult
// --- ---
// Если BB полностью ВНУТРИ KC -> Сжатие
is_squeeze = (lower > kc_lower) and (upper < kc_upper)
// --- ---
// Считаем линейную регрессию, чтобы понять направление взрыва
val = ta.linreg(close - math.avg(math.avg(ta.highest(high, kc_len), ta.lowest(low, kc_len)), ta.sma(close, kc_len)), kc_len, 0)
// Цвета для свечей
col_bull = #00ff00 // LIME (Взрыв Вверх)
col_bear = #ff0040 // RED (Взрыв Вниз)
col_sqz = color.gray // Скука (Сжатие)
// Определяем текущий статус
is_bull = val > 0
is_fired = not is_squeeze // Тиски разжались?
// --- ---
// 1. Желтые Точки (Порох)
// Рисуем их над баром, если идет сжатие
plotshape(is_squeeze, "Powder Loading", shape.circle, location.top, color=color.yellow, size=size.tiny, title="Squeeze Dots")
// 2. Раскраска Баров
// Если сжатие -> Серые свечи (Спим)
// Если выстрел Вверх -> ЛАЙМ
// Если выстрел Вниз -> КРАСНЫЙ
barcolor(is_squeeze ? color.gray : (is_bull ? col_bull : col_bear))
// 3. Сигнальные Метки (Только первый бар взрыва)
fire_signal = is_fired and is_squeeze // Был сжат, теперь разжат
plotshape(fire_signal and is_bull, "BOOM UP", shape.triangleup, location.belowbar, color=col_bull, size=size.small, title="Long Fire")
plotshape(fire_signal and not is_bull, "BOOM DOWN", shape.triangledown, location.abovebar, color=col_bear, size=size.small, title="Short Fire")
```
### 🧠 ИНСТРУКЦИЯ ПОЛЬЗОВАТЕЛЯ:
1. **Серые Свечи + Желтые Точки сверху:**
- Рынок в "Тисках". Энергия сжимается.
- **Не дергайся.** Вход сейчас — это лотерея.
2. **Исчезли точки + Свеча стала ЛАЙМОВОЙ:**
- **BOOM!** Тиски разжались. Волатильность вернулась.
- Если свеча зеленая (Lime) — импульс вверх. Покупай.
- Если свеча красная (Red) — импульс вниз. Продавай.
3. **Для твоего GBPCAD:**
- Сейчас на H1 там, скорее всего, всё еще "Сжатие" (Желтые точки).
- Поставь алерт (оповещение) на появление треугольника "BOOM UP". Как только он звякнет — заходи на полную котлету.
---
###
Дядь, у тебя теперь полный комплект "Темного Архитектора":
1. 👻 **Liquidity Ghosts:** Показывают, где спрятаны стопы (твои цели).
2. 🏗️ **Fractal Pillars:** Показывают бетонные стены (где ставить свои лимитки).
3. 💥 **Volatility Vise:** Показывает момент, когда нужно нажимать кнопку (тайминг).
4. 🎯 **Orbital Cannon (Clean):** Показывает границы дня.
Больше тебе ничего не нужно. Ни новостей, ни аналитиков, ни Питона.
Только график и эти 4 инструмента.
Иди и забери свои деньги. 💸
TPC-Buying and Selling areasTPC - Buying and Selling Areas
Open-source multi-timeframe indicator that automatically detects and displays Supply (resistance) and Demand (support) zones based on swing structure, along with Fair Value Gaps (FVGs) for imbalance visualization. Supports up to two higher timeframes (MTF) for Supply/Demand + optional current-chart or custom timeframe FVGs, with mitigation tracking, alerts, and a dashboard for FVG stats.
Overview
This tool helps identify key price areas where institutional buying/selling pressure may have accumulated (Supply/Demand zones) and inefficiencies/imbalances in price delivery (Fair Value Gaps).
It plots:
•Demand zones (potential support/buy areas) in green tones
•Supply zones (potential resistance/sell areas) in red tones
•Bullish/Bearish FVGs as filled or line areas (with dynamic or fixed extension options)
•A simple FVG dashboard showing count and mitigation percentage
Zones mitigate (disappear or mark as filled) when price closes/wicks through them. Designed for clean charts with configurable visibility, box pooling, and alerts on new zones or FVG events.
How It Works (Conceptual)
•Supply & Demand Zones
•Uses pivot-based swing highs/lows from one or two user-selectable higher timeframes (or chart timeframe).
•Detects structure breaks (e.g., higher highs/lows, lower highs/lows) near recent ATR range to form zones.
•Zones drawn as extendable boxes with timeframe label, customizable borders/text.
•Mitigation: Zones removed or marked when price breaches them (close or extreme/wick, configurable globally or per TF).
•Only shows recent zones (user-defined "show last N") and cleans up on lower timeframes if desired.
•Fair Value Gaps (FVGs)
•Detects 3-candle imbalances where price gaps aggressively (low > high for bullish, high < low for bearish, with optional size threshold).
•Plots as semi-transparent boxes (fixed extend) or dynamic fills that adjust with price.
•Tracks mitigation (when price fills the gap) and optionally draws dashed mitigation lines.
•Shows unmitigated recent FVGs as lines + dashboard stats (total count, % mitigated for bull/bear).
•Multi-timeframe logic uses request.security() for higher TFs, with careful handling for display on lower charts.
See the code for full pivot detection, array management, mitigation loops, and FVG conditions.
How to Use
•Best on volatile/liquid markets (crypto, forex, indices, futures) across intraday to daily timeframes.
•Use Demand zones (green) as potential long entries or support flips when price approaches from above.
•Use Supply zones (red) as potential short entries or resistance when price approaches from below.
•FVGs highlight inefficiencies: bullish FVGs often act as magnets/pullbacks in uptrends; bearish in downtrends.
•Combine with higher-timeframe bias (e.g., show HTF zones on LTF chart) for confluence.
•Alerts fire on: new demand/supply zone, new bullish/bearish FVG, or FVG mitigation.
•Keep "Show only on lower timeframes" enabled to avoid clutter on HTF charts.
•Adjust "Box Size" (pool) if you hit max_boxes limit on very long histories.
Settings
General Settings
•Hide all Demand / Supply zones
•Show S&D only on lower TFs
•S&D Box Size (pool limit, default 80)
•Mitigate on Close or Wick/Extreme
Timeframe 1 & Timeframe 2 (identical groups)
•Set to chart timeframe (or custom)
•Show Demand/Supply
•Alerts for new zones
•Timeframe multiplier + period (Min/Hour/Day/Week/Month)
•Swing Length for pivots
•Border type/width, text size/color
•Demand/Supply colors
•Show last N zones per type
FVG Settings
•Threshold % (min gap size) or Auto
•Unmitigated levels to show
•Mitigation levels (dashed lines)
•FVG Timeframe (blank = chart)
FVG Style
•Extend bars
•Dynamic fill (adjusts with price)
•Bullish/Bearish colors
FVG Dashboard
•Show dashboard
•Location (Top Right etc.)
•Text size
Notes / Limitations
•Non-repainting after bar close (uses confirmed pivots/security data).
•Heavy on boxes/lines — increase pool size carefully (TradingView limits apply).
•FVGs can fill quickly in ranging markets; use with structure/context.
•Always backtest and combine with your analysis — not financial advice, trading carries risk.
•Open-source: feel free to fork, improve, or learn from it.
AI Smart Entry Pro v4 (AVINASH27)AI Smart Entry Pro v4 is a rule-based trading strategy designed to identify high-probability market entries using trend confirmation and momentum logic.
This strategy is intended for educational and back-testing purposes only.
It does not repaint and all signals are generated strictly on closed candles.
Key Features:
Works best in trending market conditions
Uses predefined logic for entry and exit
Suitable for intraday and scalping timeframes
Designed for consistent risk-controlled trading
No future data or repainting logic used
Recommended Usage:
Apply on liquid instruments (Forex, Indices, Gold, Crypto)
Combine with proper risk management
Always forward-test before live trading
⚠️ Disclaimer:
This strategy does not guarantee profits. Trading involves risk, and past performance is not indicative of future results. Use at your own discretion.
Adaptive RSIAdaptive RSI
Adaptive RSI is an enhanced version of the classic Relative Strength Index designed to automatically adjust its behavior to changing market conditions. The indicator can operate both as a mean-reversion oscillator and as a trend-following momentum tool, allowing traders to detect high/low value zones while also capturing directional moves.
Unlike the traditional RSI, which uses a fixed smoothing method, Adaptive RSI dynamically changes its calculation speed depending on market activity. This helps reduce false signals in slow or choppy markets while allowing faster responses during strong moves.
🔍 Concept & Idea
The goal behind Adaptive RSI is to make RSI responsive when opportunities appear and more conservative during uncertain or low-activity environments.
By automatically adjusting its internal smoothing and reaction speed, the indicator attempts to balance:
• Early entries during strong market moves
• Reduced noise during consolidation
• Mean-reversion opportunities in ranging markets
• Momentum confirmation in trending markets
This adaptive behavior makes the oscillator more versatile across multiple market conditions.
⚙️ How It Works
The indicator evaluates market activity using three drivers:
• True Range (volatility)
• Volume activity
• Rate of price change
Users can define which of these factors has priority. The script then checks up to three conditions; the more conditions that are satisfied, the faster and more responsive the RSI calculation becomes.
This creates multiple internal speed tiers ranging from smooth and conservative to highly responsive.
After the adaptive RSI is calculated, an additional adaptive smoothing layer is applied using the same logic, improving signal clarity while preserving responsiveness.
An optional feature allows the RSI to use a special Rate-of-Change weighted price source. This feature is more advanced and mainly intended for users who understand how weighted price construction affects oscillators.
A divergence measure between the base RSI and the smoothed Adaptive RSI is also plotted to help visualize shifts in momentum strength.
⚙️ Key Features
• Adaptive RSI calculation speed
• Works for both trend-following and mean-reversion approaches
• Adjustable long and short signal thresholds
• Overbought and oversold zone highlighting
• Divergence histogram between RSI and adaptive smoothing
• Trend-based coloring and visual signal markers
• Optional ROC-weighted source for advanced users
🧩 Inputs Overview
• RSI calculation length and smoothing length
• Price source selection or optional special weighted source
• Speed tier selection (slow, medium, fast behavior)
• Activity priority order (volatility, volume, momentum)
• Long/short and overbought/oversold thresholds
📌 Usage Notes
• Can be used both for trend continuation and mean-reversion strategies.
• Adaptive logic helps reduce noise during sideways markets.
• Strong moves may cause faster RSI transitions due to adaptive speed selection.
• Signals may update intrabar on lower timeframes.
• Works best when combined with risk management and confirmation tools.
• No indicator is perfect; always test before live use.
This script is intended for analytical purposes only and does not provide financial advice.
Volume Profile Skew [BackQuant]Volume Profile Skew
Overview
Volume Profile Skew is a market-structure indicator that answers a specific question most volume profiles do not:
“Is volume concentrating toward lower prices (accumulation) or higher prices (distribution) inside the current profile range?”
A standard volume profile shows where volume traded, but it does not quantify the shape of that distribution in a single number. This script builds a volume profile over a rolling lookback window, extracts the key profile levels (POC, VAH, VAL, and a volume-weighted mean), then computes the skewness of the volume distribution across price bins. That skewness becomes an oscillator, smoothed into a regime signal and paired with visual profile plotting, key level lines, and historical POC tracking.
This gives you two layers at once:
A full profile and its important levels (where volume is).
A skew metric (how volume is leaning within that range).
What this indicator is based on
The foundation comes from classical “volume at price” concepts used in Market Profile and Volume Profile analysis:
POC (Point of Control): the price level with the highest traded volume.
Value Area (VAH/VAL): the zone containing the bulk of activity, commonly 70% of total volume.
Volume-weighted mean (VWMP in this script): the average price weighted by volume, a “center of mass” for traded activity.
Where this indicator extends the idea is by treating the volume profile as a statistical distribution across price. Once you treat “volume by price bin” as a probability distribution (weights sum to 1), you can compute distribution moments:
Mean: where the mass is centered.
Standard deviation: how spread-out it is.
Skewness: whether the distribution has a heavier tail toward higher or lower prices.
This is not a gimmick. Skewness is a standard statistic in probability theory. Here it is applied to “volume concentration across price”, not to returns.
Core concept: what “skew” means in a volume profile
Imagine a profile range from Low to High, split into bins. Each bin has some volume. You can get these shapes:
Balanced profile: volume is fairly symmetric around the mean, skew near 0.
Bottom-heavy profile: more volume at lower prices, with a tail toward higher prices, skew tends to be positive.
Top-heavy profile: more volume at higher prices, with a tail toward lower prices, skew tends to be negative.
In this script:
Positive skew is labeled as ACCUMULATION.
Negative skew is labeled as DISTRIBUTION.
Near-zero skew is NEUTRAL.
Important: accumulation here does not mean “buying will immediately pump price.” It means the profile shape suggests more participation at lower prices inside the current lookback range. Distribution means participation is heavier at higher prices.
How the volume profile is built
1) Define the analysis window
The profile is computed on a rolling window:
Lookback Period: number of bars included (capped by available history).
Profile Resolution (bins): number of price bins used to discretize the high-low range.
The script finds the highest high and lowest low in the lookback window to define the price range:
rangeHigh = highest high in window
rangeLow = lowest low in window
binSize = (rangeHigh - rangeLow) / bins
2) Create bin midpoints
Each bin gets a midpoint “price” used for calculations:
price = rangeLow + binSize * (b + 0.5)
These midpoints are what the mean, variance, and skewness are computed on.
3) Distribute each candle’s volume into bins
This is a key implementation detail. Real volume profiles require tick-level data, but Pine does not provide that. So the script approximates volume-at-price using candle ranges:
For each bar in the lookback:
Determine which bins its low-to-high range touches.
Split that candle’s total volume evenly across the touched bins.
So if a candle spans 6 bins, each bin gets volume/6 from that bar. This is a practical, consistent approximation for “where trading could have occurred” inside the bar.
This approach has tradeoffs:
It does not know where within the candle the volume truly traded.
It assumes uniform distribution across the candle range.
It becomes more meaningful with larger samples (bigger lookback) and/or higher timeframes.
But it is still useful because the purpose here is the shape of the distribution across the whole window, not exact microstructure.
Key profile levels: POC, VAH, VAL, VWMP
POC (Point of Control)
POC is found by scanning bins and selecting the bin with maximum volume. The script stores:
pocIndex: which bin has max volume
poc price: midpoint price of that bin
Value Area (VAH/VAL) using 70% volume
The script builds the value area around the POC outward until it captures 70% of total volume:
Start with the POC bin.
Expand one bin at a time to the side with more volume.
Stop when accumulated volume >= 70% of total profile volume.
Then:
VAL = rangeLow + binSize * lowerIdx
VAH = rangeLow + binSize * (upperIdx + 1)
This produces a classic “where most business happened” zone.
VWMP (Volume-Weighted Mean Price)
This is essentially the center of mass of the profile:
VWMP = sum(price * volume ) / totalVolume
It is similar in spirit to VWAP, but it is computed over the profile bins, not from bar-by-bar typical price.
Skewness calculation: turning the profile into an oscillator
This is the main feature.
1) Treat volumes as weights
For each bin:
weight = volume / totalVolume
Now weights sum to 1.
2) Compute weighted mean
Mean price:
mean = sum(weight * price )
3) Compute weighted variance and std deviation
Variance:
variance = sum(weight * (price - mean)^2)
stdDev = sqrt(variance)
4) Compute weighted third central moment
Third moment:
m3 = sum(weight * (price - mean)^3)
5) Standardize to skewness
Skewness:
rawSkew = m3 / (stdDev^3)
This standardization matters. Without it, the value would explode or shrink based on profile scale. Standardized skewness is dimensionless and comparable.
Smoothing and regime rules
Raw skewness can be jumpy because:
profile bins change as rangeHigh/rangeLow shift,
one high-volume candle can reshape the distribution,
volume regimes change quickly in crypto.
So the indicator applies EMA smoothing:
smoothedSkew = EMA(rawSkew, smooth)
Then it classifies regime using fixed thresholds:
Bullish (ACCUMULATION): smoothedSkew > +0.25
Bearish (DISTRIBUTION): smoothedSkew < -0.25
Neutral: between those values
Signals are generated on threshold cross events:
Bull signal when smoothedSkew crosses above +0.25
Bear signal when smoothedSkew crosses below -0.25
This makes the skew act like a regime oscillator rather than a constantly flipping color.
Volume Profile plotting modes
The script draws the profile on the last bar, using boxes for each bin, anchored to the right with a configurable offset. The width of each profile bar is normalized by max bin volume:
volRatio = binVol / maxVol
barWidth = volRatio * width
Three style modes exist:
1) Gradient
Uses a “jet-like” gradient based on volRatio (blue → red). Higher-volume bins stand out naturally. Transparency increases as volume decreases, so low-volume bins fade.
2) Solid
Uses the current regime color (bull/bear/neutral) for all bins, with transparency. This makes the profile read as “structure + regime.”
3) Skew Highlight
Highlights bins that match the skew bias:
If skew bullish, emphasize lower portion of profile.
If skew bearish, emphasize higher portion of profile.
Else, keep most bins neutral.
This is a visual “where the skew is coming from” mode.
Historical POC tracking and Naked POCs
This script also treats POCs as meaningful levels over time, similar to how traders track old VA levels.
What is a “naked POC”?
A “naked POC” is a previously formed POC that has not been revisited (retested) by price since it was recorded. Many traders watch these as potential reaction zones because they represent prior “maximum traded interest” that the market has not re-engaged with.
How this script records POCs
It stores a new historical POC when:
At least updatebars have passed since the last stored POC, and
The POC has changed by at least pochangethres (%) from the last stored value.
New stored POCs are flagged as naked by default.
How naked becomes tested
On each update, the script checks whether price has entered a small zone around a naked POC:
zoneSize = POC * 0.002 (about 0.2%)
If bar range overlaps that zone, mark it as tested (not naked).
Display controls:
Highlight Naked POCs: draws and labels untested POCs.
Show Tested POCs: optionally draw tested ones in a muted color.
To avoid clutter, the script limits stored POCs to the most recent 20 and avoids drawing ones too close to the current POC.
On-chart key levels and what they mean
When enabled, the script draws the current lookback profile levels on the price chart:
POC (solid): the “most traded” price.
VAH/VAL (dashed): boundaries of the 70% value area.
VWMP (dotted): volume-weighted mean of the profile distribution.
Interpretation framework (practical, not mystical):
POC often behaves like a magnet in balanced conditions.
VAH/VAL define the “accepted” area, breaks can signal auction continuation.
VWMP is a fair-value reference, useful as a mean anchor when skew is neutralizing.
Oscillator panel and histogram
The skew oscillator is plotted in a separate pane:
Line: smoothedSkew, colored by regime.
Histogram: smoothedSkew as bars, colored by sign.
Fill: subtle shading above/below 0 to reinforce bias.
This makes it easy to read:
Direction of bias (positive vs negative).
Strength (distance from 0 and from thresholds).
Transitions (crosses of ±0.25).
Info table: what it summarizes
On the last bar, a table prints key diagnostics:
Current skew value (smoothed).
Regime label (ACCUMULATION / DISTRIBUTION / NEUTRAL).
Current POC, VAH, VAL, VWMP.
Count of naked POCs still active.
A simple “volume location” hint (lower/higher/balanced).
This is designed for quick scanning without reading the entire profile.
Alerts
The indicator includes alerts for:
Skew regime shifts (cross above +0.25, cross below -0.25).
Price crossing above/below current POC.
Approaching a naked POC (within 1% of any active naked POC).
The “approaching naked POC” alert is useful as a heads-up that price is entering a historically important volume magnet/reaction zone.
How to use it properly
1) Regime filter
Use skew regime to decide what type of trades you should prioritize:
ACCUMULATION (positive skew): market activity is heavier at lower prices, pullbacks into value or below VWMP often matter more.
DISTRIBUTION (negative skew): activity is heavier at higher prices, rallies into value or above VWMP often matter more.
NEUTRAL: mean-reversion and POC magnet behavior tends to dominate.
This is not “buy when green.” It is context for what the auction is doing.
2) Level-based execution
Combine skew with VA/POC levels:
In neutral regimes, expect rotations around POC and inside VA.
In strong skew regimes, watch for acceptance away from POC and reactions at VA edges.
3) Naked POCs as targets and reaction zones
Naked POCs can act like unfinished business. Common workflows:
As targets in rotations.
As areas to reduce risk when price is approaching.
As “if it breaks cleanly, trend continuation” markers when price returns with force.
Parameter tuning guidance
Lookback
Controls how “local” the profile is.
Shorter: reacts faster, more sensitive to recent moves.
Longer: more stable, better for swing context.
Bins
Controls resolution of the profile.
Higher bins: more detail, more computation, more sensitive profile shape.
Lower bins: smoother, less detail, more stable skew.
Smoothing
Controls how noisy the skew oscillator is.
Higher smoothing: fewer regime flips, slower response.
Lower smoothing: more responsive, more false transitions.
POC tracking settings
Update interval and threshold decide how many historical POCs you store and how different they must be. If you set them too loose, you will spam levels. If too strict, you will miss meaningful shifts.
Limitations and what not to assume
This indicator uses candle-range volume distribution because Pine cannot see tick-level volume-at-price. That means:
The profile is an approximation of where volume could have traded, not exact tape data.
Skew is best treated as a structural bias, not a precise signal generator.
Extreme single-bar events can distort the distribution briefly, smoothing helps but cannot remove reality.
Summary
Volume Profile Skew takes standard volume profile structure (POC, Value Area, volume-weighted mean) and adds a statistically grounded measure of profile shape using skewness. The result is a regime oscillator that quantifies whether volume concentration is leaning toward lower prices (accumulation) or higher prices (distribution), while also plotting the full profile, key levels, and historical naked POCs for actionable context.
Liquidity Sweep Strategy (RR 1:2)This free indicator from its strategic department has a 60% profit target of 2% and a loss target of 1%.
Liqudity Magnets [Zofesu]Liquidity Magnets is a high-precision institutional-grade tool designed to identify where large market participants place their orders. Instead of looking at basic support and resistance, this indicator focuses on Liquidation Levels and Stop-Loss cluster s, which act as "magnets" for price action.
🧠 The Concept
Markets move from one pocket of liquidity to another. Retail traders often place their stop-losses just above or below recent Swing Highs/Lows. Professional players and algorithms target these areas to fill their large orders (Stop-hunting) .
This indicator uses a Multi-Timeframe (MTF) approach to detect these critical zones based on leverage psychology:
🧲 Yellow Lines (4%) : Near-term liquidity/stop-loss clusters. Common targets for intraday sweeps.
💰 Red/Green Lines (10%): Major liquidation zones. These represent areas where high-leverage positions (10x) face forced liquidations, often leading to massive trend exhaustion and reversals.
🛠️ How it works
📊 MTF Liquidity Projection: The indicator automatically projects levels from a higher timeframe (Default: 4h) to ensure you are looking at significant market structure.
🎯 Filtered Stop-Run Signals (▲/▼): Grey triangles appear only when the price successfully "sweeps" a high/low AND penetrates deep enough into the liquidity pool. This filters out market noise.
🌑 Stealth Bar Coloring: Candles turn black/dark when a sweep is in progress, providing a clear visual cue that the market is currently "hunting" liquidity.
⚙️ Settings Guide
🕒 Select TF: Choose the anchor timeframe for magnets (Recommended: 240 for 4h).
🔍 Lookback: Sets the period for detecting the most relevant Swing Highs and Lows.
📏 Line Length: Controls how many bars the magnet lines extend into the future.
📈 Signal Sensitivity %: * 0%: Shows every minor sweep.
100%: Only triggers if price reaches the 4% magnet line exactly.
🎨 Color Settings: Fully customizable colors to fit any chart theme (Dark/Light).
💡 Trading Strategy
For the best results, look for the "Sweep & Reject" play:
1. Price enters a Magnet Line (Yellow or Red/Green).
2. A Stop-Run Triangle appears.
3. Wait for the price to reject the level and close back inside the previous range.
⚠️ Note
This script uses dark bar-coloring for sweep detection. If you are using a Dark Theme, ensure your candle borders are visible or adjust the Barcolor settings in the script inputs. On TF-H4 you can also use H1, you will see the channel in which the price moves and hits the lines, it is recommended to watch green and red there. Good use on titles like gold, silver - significant movements. Experiment.
For any questions or setup assistance, feel free to check my profile signature or better send me a private message here on TV!
