Liquidity Gravity Engine [Pineify]```markdown
Liquidity Gravity Engine - Market Structure, Displacement, Liquidity Rails
Overview
Liquidity Gravity Engine is a market structure + liquidity visualization indicator designed to help you read flow , impulse , and liquidity magnets on any symbol and timeframe. Instead of relying on a single moving average, it builds a dynamic “flow ribbon” from confirmed swing structure, highlights displacement candles that create imbalance (FVG-style gaps), and projects unmitigated swing levels as liquidity rails that price often revisits.
Key Features
Liquid Flow Ribbon: a structure-based dynamic band that adapts to volatility.
Displacement Highlighting: flags momentum candles that expand beyond ATR and form an imbalance.
Liquidity Rails: extends unmitigated swing highs/lows as potential targets until swept.
Trend Context: displacement is filtered using the ribbon’s smoothed centerline.
How It Works
Market Structure (Swings) : swing highs/lows are detected using pivot logic over your “Structure Lookback”. Pivots become confirmed only after the lookback window completes, which means historical swing points can update until they are confirmed.
Flow Construction : the most recent confirmed swing high and swing low define a top and bottom boundary. Their midpoint is then smoothed with an EMA to create the “liquid” centerline.
Displacement + Imbalance : a candle is considered displacement when its range expands beyond ATR(14) × Displacement Factor and it creates a simple FVG-style gap (current low above the high two bars back for bullish, or current high below the low two bars back for bearish). The bar is then filtered by being on the correct side of the smoothed flow center.
Liquidity Rails : each new confirmed swing high/low can become a dotted rail. Rails extend forward and are removed once price sweeps beyond the level (mitigation), keeping the chart focused on active liquidity.
Trading Ideas and Insights
Use the ribbon as context : bias is stronger when price holds one side of the flow centerline.
Treat displacement markers as impulse confirmation : they often appear at breakout moments or at the start of expansions.
Use liquidity rails as magnets : unmitigated swing highs/lows can act as targets for continuation or mean-reversion moves.
Combine structure + displacement: a sweep into a rail followed by an opposite displacement can hint at a reversal attempt.
How Multiple Components Work Together
This indicator is intentionally built as a single liquidity-driven workflow:
Swings define structure.
Structure defines the flow ribbon (trend/volatility context).
The ribbon filters displacement so you see momentum that aligns with flow.
Liquidity rails provide objective target zones derived from the same swing structure.
The result is a cohesive view of market structure flow, institutional-style displacement, and liquidity targets without stacking multiple separate indicators.
Unique Aspects
Structure-first ribbon: the band is anchored to confirmed swing points, not just a price average.
Imbalance-aware displacement: requires both range expansion and a gap-style condition, reducing generic “big candle” noise.
Self-cleaning liquidity rails: mitigated levels are removed to keep the chart readable.
How to Use
Start with defaults on a clean chart.
Identify the flow: price above the smoothed centerline favors bullish flow; below favors bearish flow.
Watch for displacement diamonds (“D”): they often validate a push away from structure and can mark the start of a leg.
Plan around rails: treat dotted lines as potential objectives and areas where reactions/sweeps can occur.
Customization
Structure Lookback : smaller values = more sensitive swings; larger values = cleaner, slower structure.
Displacement Factor : higher values = fewer, stronger displacement bars; lower values = more signals.
Show Liquidity Rails + Liquidity Lookback : control whether rails are plotted and how active levels are emphasized.
Visuals : adjust bullish/bearish flow colors and liquidity line styling for your chart theme.
Conclusion
Liquidity Gravity Engine helps you map market structure, highlight displacement and imbalance (FVG-style) momentum, and visualize liquidity targets with rails that stay relevant until swept. Use it for trend context, breakout confirmation, and liquidity-based trade planning on forex, crypto, stocks, and indices.
Wskaźniki i strategie
Gold And Silver Macro Dashboard A weekly, macro-focused dashboard for precious metals that tracks gold’s trend plus three key relative-strength ratios: Gold/DXY, Gold/SPY, and Silver/Gold. Uses a 30-week SMA regime filter to label each series as Bull / Neutral / Bear and provides a quick “full picture” read.
What this indicator does
This dashboard helps you read the big picture for precious metals using a simple regime framework (weekly + 30-week SMA). It combines four signals into one view:
Gold (XAUUSD) — establishes the core precious-metals trend
Gold / DXY — shows whether gold is outperforming the U.S. dollar
Gold / SPY — shows whether gold is outperforming U.S. equities (risk assets)
Silver / Gold — shows whether risk appetite is returning inside metals (silver leadership)
How it works (simple rules)
Each item is classified using the same weekly regime logic:
Bull: price/ratio is above a rising 30-week SMA
Bear: price/ratio is below a falling 30-week SMA
Neutral: everything else (transition/range)
How to use it (30-second weekly scan)
Start with Gold: if Gold is Bull, metals have a tailwind.
Confirm with Gold/DXY: Bull means gold is beating fiat.
Confirm with Gold/SPY: Bull means gold is beating risk assets.
Use Silver/Gold to size aggressiveness: Bull implies reflation/confidence and often stronger silver participation.
Best timeframe
Designed for Weekly charts. The script can force weekly calculations, so it remains consistent even if you view other timeframes.
Customization
Change tickers if your preferred feed differs (OANDA spot vs futures vs ETFs).
Toggle the plotted lines on/off and keep only the dashboard table if you want a cleaner screen.
Important note
This is a macro regime tool for orientation and context. It is not meant to time entries/exits on lower timeframes.
Default symbols are:
Gold: OANDA:XAUUSD
Silver: OANDA:XAGUSD
Dollar Index: TVC:DXY
SPY: AMEX:SPY
Core Rule: Gold tells you WHEN metals matter. Ratios tell you WHY and HOW aggressive to be.
Bull across all four = strongest PM regime. Mixed readings = transition. Gold Bull + Silver/Gold Bear = defensive gold-led phase.
ETH Staking Rate - weighted average of WSTETH, CBETH, RETHThis indicator uses the redemption rate of WSTETH, CBETH, RETH from Pyth and the market cap of each from Cryptocap to calculate a weighted average ETH staking rate.
Apex Wallet - Ultimate Trading Suite: All-In-One Overlay & SignaOverview The Apex Wallet All-In-One is a comprehensive professional trading toolkit designed to centralize every essential technical analysis tool directly onto your main price chart. Instead of cluttering your workspace with dozens of separate indicators, this script integrates trend analysis, volatility bands, automated chart patterns, and a multi-indicator signal engine into a single, cohesive interface.
Key Modular Features:
Trend Core: Features dynamic trend curves, cloud fills for momentum visualization, and a multi-timeframe dashboard (1m to 4h) to ensure you are always trading with the higher-timeframe bias.
Automated Chart Structures: Automatically detects and plots Support/Resistance levels, Standard Pivot Points, Market Gaps, and Fair Value Gaps (Imbalances).
Volatility & Volume: Includes professional-grade VWAP with standard deviation bands, Bollinger Bands, and a built-in Volume Delta (Raw/Net) tracker.
Signal Engine: A powerful cross-logic system that generates entry signals based on RSI (QQE), MACD (Zero-cross & Relance), Stochastic, TDI, and the Andean Oscillator.
Predictive Projections: A unique feature that projects current indicator slopes into future candles to help anticipate potential trend continuations or reversals.
Adaptability The script includes three core presets—Scalping, Day-Trading, and Swing-Trading—which automatically adjust all internal periods (Moving Averages, Bollinger, RSI, etc.) to match your specific market speed.
Visual Cleanliness Every feature is toggleable. You can display a "clean" chart with just the Trend Cloud or a "complete" workstation with signals, patterns (Doji, Engulfing), and pivot levels
Apex Wallet - Ultimate Multi-Oscillator (9-in-1) & Market TrendThe Apex Wallet Multi-Oscillator is a powerful "All-in-One" technical analysis tool designed to clean up your charts by combining nine of the most effective momentum and trend indicators into a single workspace. This script is engineered to adapt to different trading styles—Scalping, Day-Trading, or Swing-Trading—with a single click.
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Whether you are looking for trend exhaustion, momentum shifts, or volatility breakouts, this indicator provides a clear, visual summary of market dynamics.
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Key Features
9 Indicators in 1: Access RSI, Stochastic, StochRSI, MACD, Zero-Lag MACD, Andean Oscillator, and the Traders Dynamic Index (TDI).
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Smart Layout Modes:
Raw (Brut): Classic view with original values.
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Stacked (Empilé): Organizes indicators into fixed vertical zones to prevent overlapping.
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Proportional Stacking: Automatically calculates and adjusts the height of blocks based on active oscillators.
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Trading Presets: Switch between Scalping, Day-Trading, and Swing-Trading modes. The script automatically adjusts periods and lengths (e.g., RSI 7 for Scalping vs. 21 for Swing) to match the market speed.
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Included Oscillators
Stochastic & RSI: Standard momentum tools with color-coded signals.
Traders Dynamic Index (TDI): A full suite including the RSI Price Line, Signal Line, and Market Base Line with optional Bollinger Bandwidth columns.
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MACD & Zero-Lag MACD: Includes histogram fills and trend-colored lines for faster reaction to price movement.
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Andean Oscillator: An advanced tool to identify Bull/Bear dominance and market "Range" or "Reversal" states.
Visual Signals & Alerts
Market Trend: Optional visual coloring based on indicator crosses to quickly spot bullish or bearish momentum.
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Customizable UI: High-fidelity rendering with dashed levels and proportional fills for a professional, clean interface.
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Integrated Alerts: Pre-configured alerts for Andean Oscillator trend changes (Bullish, Bearish, or Reversal).
How to use
Select your Trading Mode in the settings based on your timeframe.
Toggle the indicators you want to see.
Use the Stacked mode if you want to keep your sub-window organized without lines crossing each other.
Sebastine All in One Indicator Sebastine All in One Indicator
Introduction
Markets speak in many dialects.
Sometimes they whisper through volume, sometimes they shout via momentum, at times they breathe through volatility, and occasionally they leave footprints in OBV, PVT, RSI, or TSI.
Most traders respond by stacking indicator after indicator—until the chart resembles a tangled fishing net.
This indicator was built to untangle that net.
Instead of plotting multiple indicators simultaneously, this tool lets you focus on one dimension of market behavior at a time, while preserving structure through a Darvas-style box framework.
The box logic used here is inspired by Darvas-style structural bounding, applied to non-price data such as volume, momentum, and volatility.
🔍 What This Indicator Does
• Combines Volume, OBV, PVT, RSI, Momentum, Volatility, TSI, and Supertrend
• Displays only one selected data stream at a time, reducing noise
• Wraps the selected indicator inside a dynamic Darvas-style box
• Highlights:
o Breakouts & breakdowns
o Compression (energy build-up)
o Structural shifts
o Momentum inflections
o Mean-reversion zones
Think of it as one lens, many filters—you rotate the lens, not clutter the chart.
🧠 How to Use It (Practical Insight)
• Volume / OBV / PVT → Institutional intent & accumulation/distribution
• Momentum / RSI / TSI → Strength, exhaustion, and early reversals
• Volatility → Expansion after contraction (the market’s deep breath)
• Supertrend (as data source) → Trend structure without price bias
The Darvas-style box adds context:
• Narrow boxes = stored energy
• Box expansion = energy release
• Source touching box edges = reaction zones
• Zero-line crossings = regime shifts (where applicable)
• 🎯 Who Is This For?
• Traders who want clarity over clutter
• Discretionary traders who adapt tools to market phase
• System builders seeking structure with flexibility
• Anyone who believes less noise = more signal
📝 Points to Note (Important for Proper Interpretation)
1. Color Coding & Structure
• The upper box line (green) represents the upper structural boundary
• The lower box line (red) represents the lower structural boundary
• The white step-line represents the selected source indicator (e.g., PVT, RSI, Momentum)
2. Pane Scaling & Visibility (Very Important)
• This indicator is designed for use in the bottom pane
• Different sources have very different numerical ranges:
o RSI is bounded between 0 and 100
o PVT, OBV, and Volume can have large absolute values
• Users should manually drag and scale the indicator vertically for optimal visibility
• This is intentional and preserves the raw integrity of each data source rather than force-normalizing it
3. Histogram for Comparative Insight
• A histogram of the selected source is included for quick visual comparison
• Helps identify expansion, contraction, acceleration, and divergence, especially during compression phases inside the box
📌 Recommended Usage (Clarity Over Clutter)
Although multiple sources are available, it is strongly recommended to use one chart with one selected source at a time for best clarity and analytical depth.
For first-time users, PVT (Price Volume Trend) is an ideal starting point.
It blends price movement and volume flow into a single continuous narrative and often reveals institutional participation earlier than price alone. PVT works especially well within the Darvas-style box framework.
Once comfortable, users may switch to RSI, Momentum, Volatility, OBV, or other sources—but always one at a time. This preserves the philosophy of focused observation rather than indicator overload.
🌱 Philosophy Behind the Tool
This indicator rewards patience and observation.Give it space.
It will quietly show when the market is gathering energy—and when it is ready to move.
Markets don’t change indicators. We change how we listen.
This indicator doesn’t predict. It reveals.
Think of it not as a dashboard, but as a rotating telescope—you change lenses, not skies.
Dhan_libLibrary "Dhan_lib"
Overview
Dhan_lib is a Pine Script v6 library designed to help traders automate trading orders via TradingView alerts and webhook integration with the Dhan broker API.
This library generates JSON-formatted alert messages for the following instruments.
Equity (Intraday and Delivery)
Options (CE and PE Buy and Sell)
Futures (Buy and Sell)
These alert strings can be directly used inside TradingView alerts to place live orders through an external webhook setup.
🔹 Supported Instruments
Equity
Intraday Buy and Sell
Delivery Buy and Sell
Options
Call (CE) Buy and Sell
Put (PE) Buy and Sell
ATM, ITM, and OTM strike selection
Intraday and Carry Forward
Futures
Buy and Sell
Intraday and Carry Forward
🔹 Key Features
✅ Pine Script v6 compatible
✅ Clean and reusable library functions
✅ Automatic ATM, ITM, and OTM strike calculation
✅ Expiry date handled via string format YYYY-MM-DD
✅ Fully webhook-ready JSON alert structure
✅ Supports multi-leg order format
✅ Designed for TradingView to Dhan automation
🔹 How to Use
Import the library in your strategy or indicator.
import Shivam_Mandrai/Dhan_lib/1
Call the required function.
order_msg = buy_CE_option("YOUR_SECRET_KEY", "NIFTY", 1)
Use the returned string as the alert message.
alert(order_msg, alert.freq_once_per_bar)
Connect TradingView alerts to your Dhan webhook receiver.
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🔹 Important Notes
Strike prices are calculated dynamically based on the current chart price (close).
Futures symbols use TradingView continuous contract format such as NIFTY1!.
Quantity refers to the number of lots, not the lot size.
Expiry date must be provided in YYYY-MM-DD format.
⚠️ DISCLAIMER (PLEASE READ CAREFULLY)
This library is provided strictly for educational and automation purposes only.
I am not a SEBI-registered advisor.
I do not guarantee any profit or accuracy of orders.
I am not responsible for any financial loss, missed trades, execution errors, or broker-side issues.
Trading in stocks, options, and futures involves significant risk.
Automated trading can fail due to internet issues, broker API downtime, incorrect webhook configuration, slippage, or market volatility.
👉 Use this library entirely at your own risk.
👉 Always test thoroughly using paper trading or simulation before deploying with real capital.
If you want, I can also:
* Shrink this further for TradingView character limits
* Convert it into a single-paragraph version
* Localize it for Indian retail traders
buy_stock_intraday(secret_key, symbol, qty, exchange)
to buy the stock Intraday
Parameters:
secret_key (string) : string Secret Key of the Dhan Account eg-> "S1HgS".
symbol (string) : string Stock symbol eg-> "TATASTEEL".
qty (int) : int quantity for the order eg-> 1.
exchange (string) : string Trading Exchange eg-> "NSE".
Returns: order string.
sell_stock_intraday(secret_key, symbol, qty, exchange)
to sell the stock Intraday
Parameters:
secret_key (string) : string Secret Key of the Dhan Account eg-> "S1HgS".
symbol (string) : string Stock symbol eg-> "TATASTEEL".
qty (int) : int quantity for the order eg-> 1.
exchange (string) : string Trading Exchange eg-> "NSE".
Returns: order string.
buy_stock_delivery(secret_key, symbol, qty, exchange)
to buy the stock delivery
Parameters:
secret_key (string) : string Secret Key of the Dhan Account eg-> "S1HgS".
symbol (string) : string Stock symbol eg-> "TATASTEEL".
qty (int) : int quantity for the order eg-> 1.
exchange (string) : string Trading Exchange eg-> "NSE".
Returns: order string.
sell_stock_delivery(secret_key, symbol, qty, exchange)
to sell the stock delivery
Parameters:
secret_key (string) : string Secret Key of the Dhan Account eg-> "S1HgS".
symbol (string) : string Stock symbol eg-> "TATASTEEL".
qty (int) : int quantity for the order eg-> 1.
exchange (string) : string Trading Exchange eg-> "NSE".
Returns: order string.
buy_CE_option(secret_key, symbol, lots, expiry_date, intraday, strike_price_base, ITM_points, OTM_points, exchange)
to buy CE option
Parameters:
secret_key (string) : string Secret Key of the Dhan Account eg-> "S1HgS".
symbol (string) : string Index / Stock symbol eg-> "NIFTY", "BANKNIFTY".
lots (int) : int Number of lots eg-> 1.
expiry_date (string) : string Option expiry date in YYYY-MM-DD format eg-> "2026-01-20".
intraday (bool) : bool Set true for intraday order, set false for delivery order eg-> true.
strike_price_base (float) : float Strike price step size eg-> 50, 100 (default is 100).
ITM_points (float) : float Points below CMP to select ITM strike eg-> 100 (default is 0).
OTM_points (float) : float Points above CMP to select OTM strike eg-> 100 (default is 0).
exchange (string) : string Trading Exchange eg-> "NSE" (default is NSE).
Returns: order string.
buy_PE_option(secret_key, symbol, lots, expiry_date, intraday, strike_price_base, ITM_points, OTM_points, exchange)
to buy PE option
Parameters:
secret_key (string) : string Secret Key of the Dhan Account eg-> "S1HgS".
symbol (string) : string Index / Stock symbol eg-> "NIFTY", "BANKNIFTY".
lots (int) : int Number of lots eg-> 1.
expiry_date (string) : string Option expiry date in YYYY-MM-DD format eg-> "2026-01-20".
intraday (bool) : bool Set true for intraday order, set false for delivery order eg-> true.
strike_price_base (float) : float Strike price step size eg-> 50, 100 (default is 100).
ITM_points (float) : float Points below CMP to select ITM strike eg-> 100 (default is 0).
OTM_points (float) : float Points above CMP to select OTM strike eg-> 100 (default is 0).
exchange (string) : string Trading Exchange eg-> "NSE" (default is NSE).
Returns: order string.
sell_CE_option(secret_key, symbol, lots, expiry_date, intraday, strike_price_base, ITM_points, OTM_points, exchange)
to Sell CE option
Parameters:
secret_key (string) : string Secret Key of the Dhan Account eg-> "S1HgS".
symbol (string) : string Index / Stock symbol eg-> "NIFTY", "BANKNIFTY".
lots (int) : int Number of lots eg-> 1.
expiry_date (string) : string Option expiry date in YYYY-MM-DD format eg-> "2026-01-20".
intraday (bool) : bool Set true for intraday order, set false for delivery order eg-> true.
strike_price_base (float) : float Strike price step size eg-> 50, 100 (default is 100).
ITM_points (float) : float Points below CMP to select ITM strike eg-> 100 (default is 0).
OTM_points (float) : float Points above CMP to select OTM strike eg-> 100 (default is 0).
exchange (string) : string Trading Exchange eg-> "NSE" (default is NSE).
Returns: order string.
sell_PE_option(secret_key, symbol, lots, expiry_date, intraday, strike_price_base, ITM_points, OTM_points, exchange)
to sell PE option
Parameters:
secret_key (string) : string Secret Key of the Dhan Account eg-> "S1HgS".
symbol (string) : string Index / Stock symbol eg-> "NIFTY", "BANKNIFTY".
lots (int) : int Number of lots eg-> 1.
expiry_date (string) : string Option expiry date in YYYY-MM-DD format eg-> "2026-01-20".
intraday (bool) : bool Set true for intraday order, set false for delivery order eg-> true.
strike_price_base (float) : float Strike price step size eg-> 50, 100 (default is 100).
ITM_points (float) : float Points below CMP to select ITM strike eg-> 100 (default is 0).
OTM_points (float) : float Points above CMP to select OTM strike eg-> 100 (default is 0).
exchange (string) : string Trading Exchange eg-> "NSE" (default is NSE).
Returns: order string.
buy_future(secret_key, symbol, lot, intraday, exchange)
to buy the Future
Parameters:
secret_key (string) : string Secret Key of the Dhan Account eg-> "S1HgS".
symbol (string) : string Stock symbol eg-> "NIFTY".
lot (int) : int quantity for the order eg-> 1.
intraday (bool) : bool Set true for intraday order, set false for delivery order eg-> true.
exchange (string) : string Trading Exchange eg-> "NSE".
Returns: order string.
sell_future(secret_key, symbol, lot, intraday, exchange)
to sell the Future
Parameters:
secret_key (string) : string Secret Key of the Dhan Account eg-> "S1HgS".
symbol (string) : string Stock symbol eg-> "NIFTY".
lot (int) : int quantity for the order eg-> 1.
intraday (bool) : bool Set true for intraday order, set false for delivery order eg-> true.
exchange (string) : string Trading Exchange eg-> "NSE".
Returns: order string.
Reversal Trading ChecklistUse to grade your reversal trades before execution.
Middle Half of hour refers to :15ish-:45ish when reversals are higher probability. After :45-:15 reversals have lower chance of occurring. Not a super highly weighted item but it will help.
Caja TavoStrategy based on "The Box" by Z and Scott
This strategy is based on measuring price volatility one hour before the market opens and half an hour after.
The trade is made in the direction that breaks the upper or lower limits.rior o inferior.
kamsakang Pivot Breakout OK. Not "the latest N highs" but **" based on the previous high (the most recently confirmed swing high) '**, I'll change it to catch the moment it crosses that value.
The key is to pivot high. (It took a few bongs to confirm "this was the high point" → This is the cleanest "pivot high point")
Liquidity Trap Strategy - ATR OptimizedLiquidity Trap Strategy – Optimized Version
1. Overview
The Liquidity Trap Strategy is a high-probability price action trading system designed to exploit “trapped buyers or sellers” around key levels from the previous trading day.
Markets: Works on any market (Forex, Crypto, Futures, Indices, Stocks)
Timeframes: Designed for 15-minute (15m) and 1-hour (1H) charts
Trading Style: “Hunter” style — trades may not happen every day, but setups are high-probability
Trade Frequency: Only first trade per day is taken for simplicity and high quality
2. Key Components
a) Daily Levels
Previous Day High (PDH) and Previous Day Low (PDL) are automatically calculated using the prior day’s bar.
These are drawn as anchored horizontal lines, extending to the current day.
PDH/PDL act as key support/resistance zones — areas where liquidity is often trapped.
b) Trap Concept
The strategy is based on the “liquidity trap” principle:
Buyer Trap (Short Entry):
Price breaks above the previous day high (PDH) → buyers think price will continue higher.
Price reverses immediately below PDH, trapping aggressive buyers above the key level.
This creates selling pressure, giving an opportunity to enter short.
Seller Trap (Long Entry):
Price breaks below the previous day low (PDL) → sellers think price will continue lower.
Price reverses immediately above PDL, trapping aggressive sellers below the key level.
This creates buying pressure, giving an opportunity to enter long.
The key idea: trapped traders cause the market to move in the opposite direction of the breakout, creating high-probability moves.
c) Trade Execution Logic
Buyer Trap / Short Entry:
Condition: high > PDH AND close < PDH AND no trade taken yet today
Entry: Short at the close of the trap candle
Stop Loss: ATR-based above the trap candle high to avoid minor wick stops
Take Profit: 2:1 Risk-to-Reward ratio
Seller Trap / Long Entry:
Condition: low < PDL AND close > PDL AND no trade taken yet today
Entry: Long at the close of the trap candle
Stop Loss: ATR-based below the trap candle low
Take Profit: 2:1 Risk-to-Reward ratio
Only the first trap trade of the day is allowed to avoid overtrading.
d) Risk Management
Stop-Loss (SL):
ATR-based to account for market volatility
Ensures the trade survives minor wick sweeps without being stopped out prematurely
Take-Profit (TP):
Fixed 2:1 R:R relative to SL
Ensures each winning trade outweighs potential losses
Trade Frequency:
Only first trade per day is allowed, making it highly selective and reducing noise
3. Visual Features
PDH/PDL Lines: Anchored to previous day, extend into current day, color-coded:
PDH → Green
PDL → Red
Trade Labels: Placed on the trap candle:
Short → Red label “Short”
Long → Green label “Long”
The visual markers make it easy to identify exactly where the trap occurred and the trade was triggered.
4. How the Strategy Works – Step by Step
Example for Short (Buyer Trap):
Market opens, PDH/PDL from yesterday are drawn.
Price spikes above PDH → some buyers enter expecting breakout continuation.
Price immediately closes back below PDH, trapping buyers.
The strategy enters short at the close of the reversal candle.
SL: placed above the trap candle using ATR to give room
TP: calculated as 2x the risk (distance from entry to SL)
Trade executes — first trade of the day. Any further trap signals today are ignored.
Example for Long (Seller Trap):
Price drops below PDL → some sellers enter.
Price immediately closes back above PDL, trapping sellers.
Strategy enters long at the close of the reversal candle.
SL: below trap candle using ATR
TP: 2:1 R:R
Trade executes — only first trade of the day.
5. Why This Strategy Works
Exploits liquidity zones: Markets often hunt stops above PDH or below PDL.
High-probability reversals: Trapped traders create strong counter moves.
ATR SL: avoids being stopped by minor market noise or wick spikes.
Selective trading: Only first trade per day → reduces overtrading and noise.
Clear visual markers: Makes manual observation and confirmation easy.
6. Key Tips for Traders
Best on high-volume instruments like Forex majors, indices, or crypto pairs with decent liquidity.
Works well on 15m and 1H charts — 15m allows quicker signals, 1H filters noise.
Avoid trading around major news releases — traps can behave differently during high volatility events.
Always backtest and use the ATR SL — never reduce SL too much, otherwise stops will trigger before the real move.
✅ Summary:
The Liquidity Trap Strategy identifies trapped buyers/sellers using previous day highs/lows.
It uses ATR-adapted stops and 2:1 R:R TP.
Only first trade per day is executed, reducing false signals.
Anchored PDH/PDL lines and labels make trade opportunities clear.
This system is low-frequency, high-probability, focusing on trading smart rather than frequently.
HL Zone + Vol Alert (Complete) + Vol Explosion Alertabc
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RTH Volume Candle DeltaOverview
This indicator is designed specifically for RTH (Regular Trading Hours) intraday traders who scalp the E-mini S&P 500 (ES), Nasdaq (NQ), and other high-liquidity futures. It solves a major flaw in time-based charts: the inability to see the "Speed of the Tape." By using a unique Transparency Heatmap, it simulates MotiveWave-style Constant Volume Bars while keeping your candles fixed to the time-based X-axis to maintain alignment with indicators like VWAP and EMAs.
The Power of RTH (Regular Trading Hours)
This script is optimized for the high-liquidity environment of the US Regular Session.
During RTH: The volume distribution is statistically significant, allowing the script to accurately identify institutional "sweeps."
During ETH (Overnight): Volume is often too thin for reliable delta analysis. I have included a "Hide Overnight" toggle to keep your chart clean and focused on the liquidity that matters.
Core Logic 1: Volume Partitioning (The Heatmap)
The script partitions volume into two visual states based on your target (Default: 1000V):
Normal Volume (< Target): These candles are dimmed (High Transparency). They represent background noise where the volume target has not yet been reached within that time slice.
Burst Volume (> Target): These candles become solid (Opaque). If a single 15s bar exceeds 1000V, it highlights a Velocity Peak—this is where institutional "Big Money" is actively consuming liquidity.
Core Logic 2: Effort-Based Delta (1s Precision)This is the "engine" of the script. Rather than using simple Close-Open delta, it fetches 1-second sub-bar data (the highest precision available without tick data) and applies an Effort vs. Result formula:$ SET:DELTA = Volume \times \frac{(Close - Low) - (High - Close)}{High - Low}$$Buyer Effort: $(Close - Low)$ — How effectively buyers lifted price from the floor before the close.Seller Effort: $(High - Close)$ — How effectively sellers pushed price down from the ceiling.Adaptive Light-Up: The candle "Lights Up" (White/Yellow) only when the Delta is 1.5x greater than the MA 20 of recent deltas. This filters out standard two-way trade and highlights aggressive initiative.
How to Trade with this Indicator
Spotting Absorption: If you see a Solid (Burst) candle with a small body and "Normal" color, a limit order "Wall" is likely absorbing the market orders.
Confirming the Drive: A Solid White/Yellow candle at a key level (VWAP, PDH, or Opening Range) is a high-probability signal that aggressive money is driving the breakout.
Multiplier Labels: The labels provide an "x Multiplier" (e.g., x4.2), telling you exactly how many 1000V rotations occurred within that single time-bar.
Final Recommendations for Users
ES (S&P 500): 1000V is the standard. On a 1m chart, set it to 4000V.
NQ (Nasdaq): 400V - 500V is recommended due to thinner liquidity.
Setup: For the best experience, hide the default TradingView candle bodies in your chart settings.
BINANCE 15m Alt Breakout Radar (TABLE)BINANCE 15m Alt Breakout Radar (TABLE)
"At the 15th installment of Binance Altcoin
Breaking High + Explosive Volume + Surging Stock
View at a glance with **indicator (table)**, not alarm"
Level to level Multi-TF + ATRLevel to level Multi-Timeframe + ATR/ADR Daily Progress
This indicator is a complete multi-timeframe market structure and volatility toolkit, designed primarily for active forex traders.
It combines Williams Fractals on five higher timeframes (Weekly, Daily, H4, H1, M5) with a live ATR/ADR dashboard, allowing you to see at a glance how much of the typical daily move has already been completed and how much “room” the market realistically has left to run.
Fractals are drawn as arrows and colored zones that clearly mark swing highs and lows, supply/demand pockets, and key reaction areas. These zones can be used as dynamic support/resistance, liquidity pools, and target/stop regions. The multi‑TF design lets you read higher‑timeframe structure while executing on lower timeframes, which is ideal for scalping and intraday trading.
The built‑in volatility table shows:
ATR Progress (%) with green / yellow / red status to indicate whether the current session is still developing, mature, or potentially exhausted.
Daily ATR & ADR values in pips, so you always know the typical and current range of the day.
Done / Left range, highlighting how many pips have already been travelled from low to high, and how many are statistically left.
ATR and ADR projection lines are also plotted from the daily open, giving you clear intraday reference levels for take profit, stop placement, and expected session extremes.
This tool works especially well when combined with Smart Money Concepts (SMC) such as:
Break of Structure (BOS) and Change of Character (CHoCH) using fractal highs/lows.
Liquidity grabs and stop hunts around fractal zones.
Order blocks and fair value gaps that overlap with higher‑TF fractals and ATR/ADR levels.
Use it on majors like EUR/USD, GBP/USD, XAU/USD or indices, on anything from fast M1–M5 scalping to H1–H4 swing trading. All colors, timeframes, sensitivities and volatility settings are fully customizable so you can adapt it to your own style and template.
Open Range BreakoutOpen Range Breakout is a volatility harvesting tool designed to exploit directional expansion following major market opens. It isolates price action during initial liquidity injections to project institutional-grade zones that define a session's structural bias.
Core Methodology
The script uses a time-anchored engine to map critical supply and demand boundaries:
Anchor Identification: The algorithm captures the absolute High and Low within a user-defined window at the start of Tokyo, London, or New York sessions.
Structural Projection: It generates a Neutrality Box. A breach via candle close signals the transition from consolidation to expansion.
Mathematical Risk Modeling: Upon breakout, it calculates a 3:1 Risk-Reward framework based on fixed percentage volatility.
Session Dynamics
The system is optimized for the global liquidity cycle:
Session 1 (Asia): Maps early-day consolidation and range-bound liquidity.
Session 2 (Europe): Captures the London Move to identify the trend.
Session 3 (US): Analyzes high-volume New York opens for maximum momentum.
Key Features
Dynamic Price Mitigation: TP/SL zones stop extending the moment price touches the target or invalidation level to keep charts clean.
Volatility-Adjusted Levels: Stop Loss parameters are normalized to price percentage for consistency across Indices, Forex, or Crypto.
Minimalist Interface: Professional aesthetic with high-contrast visual cues for instant scannability.
Use Cases
Momentum Trading: Identifying the Origin of the Move post-open.
Mean Reversion: Recognizing failed breakouts when price returns inside the range.
Quantitative Backtesting: Benchmarking 3.0 RR targets across different session anchors.
GSS: Gold Swing Sniper [DoNotFollowMeGod]"Inspired by Mean Reversion Theory and Dynamic Volatility Bands (similar to Keltner/Bollinger concepts).
Gold (XAUUSD) tends to respect volatility extremes. This script was designed to capture those extremes by combining a Volatility Channel with an ADX Strength Filter. It’s basically a mathematical approach to 'Buying Low and Selling High' in a ranging market."
Most traders lose money when the market stops trending. This indicator fixes that by identifying "Range-Bound" conditions using a smart ADX Filter.
How it works:
Market State Detection: It checks the ADX. If the market is trending strong, it stays quiet. If the market is chopping/ranging, it activates.
Sniper Entries:
SWING LONG: When price hits the lower band + RSI Oversold + Rejection Candle.
SWING SHORT: When price hits the upper band + RSI Overbought + Rejection Candle.
Dashboard: A clean Multi-Timeframe table to see if higher timeframes are Trending or Sideways.
Disclaimer:
This tool is a "Shield" against chop. Do not use it during high-impact news.
Based on volatility band logic.
TSS : Trend Sniper System [DoNotFollowMeGod]"Inspired by classic Tunnel Strategies"
Tunnel Green + Label Blue/Green = LONG
Tunnel Red + Label Red/Maroon = SHORT
Trade safe. Risk management is key.
RVOL_Core_NSELibrary "RVOL_Core_NSE"
f_rvol(lookbackDays, isNewDay, msSinceSessionStart, volume)
Parameters:
lookbackDays (int)
isNewDay (bool)
msSinceSessionStart (int)
volume (float)
Intraday Session Ranges (Asian-London-NY) - JonathanJD86This script is a technical utility designed to automatically track and visualize the high and low price levels of the three major trading sessions (Asian, London, and New York).
How it works: The script uses the time() function with the America/New_York timezone anchor to ensure accuracy regardless of the user's local time. It tracks the maximum and minimum price values during specific user-defined intervals.
Key Methodology:
Vertical Tick Offset: Unlike standard session boxes, this tool allows users to set a vertical gap (in ticks) so that the labels do not overlap the candle wicks, providing a clearer view of the actual price action.
Session Intervals: Defaulted to high-activity windows: Asian (20:00-00:00), London (02:00-05:00), and New York (08:30-16:00).
Dynamic Visibility: The script includes a logical check to automatically hide levels on timeframes higher than 1H, preventing chart clutter during macro analysis.
