Holographic Market Microstructure | AlphaNattHolographic Market Microstructure | AlphaNatt
A multidimensional, holographically-rendered framework designed to expose the invisible forces shaping every candle — liquidity voids, smart money footprints, order flow imbalances, and structural evolution — in real time.
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📘 Overview
The Holographic Market Microstructure (HMS) is not a traditional indicator. It’s a visual architecture built to interpret the true anatomy of the market — a living data structure that fuses price, volume, and liquidity into one coherent holographic layer.
Instead of reacting to candles, HMS visualizes the market’s underlying micro-dynamics : where liquidity hides, where volume flows, and how structure morphs as smart money accumulates or distributes.
Designed for system-based traders, volume analysts, and liquidity theorists who demand to see the unseen — the invisible grid driving every price movement.
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🔬 Core Analytical Modules
Microstructure Analysis
Deconstructs each bar’s internal composition to identify imbalance between aggressive buying and selling. Using a configurable Imbalance Ratio and Liquidity Threshold , the algorithm marks low-liquidity zones and price inefficiencies as “liquidity voids.”
• Detects hidden supply/demand gaps.
• Quantifies micro-level absorption and exhaustion.
• Reveals flow compression and expansion phases.
Smart Money Tracking
Applies advanced volume-rate-of-change and price momentum relationships to map institutional activity.
• Accumulation Zones – Where price rises on expanding volume.
• Distribution Zones – Where price declines on rising volume.
• Automatically visualized as glowing boxes, layered through time to simulate footprint persistence.
Fractal Structure Mapping
Reveals the recursive nature of price formation. HMS detects fractal highs/lows, then connects them into an evolving structure.
• Defines nested market structure across multiple scales.
• Maps trend progression and transition points.
• Renders with adaptive glow lines to reflect depth and strength.
Volume Heat Map
Transforms historical volume data into a 3D holographic heat projection.
• Each band represents a volume-weighted price level.
• Gradient brightness = relative participation intensity.
• Helps identify volume nodes, voids, and liquidity corridors.
HUD Display System
Real-time analytical dashboard summarizing the system’s internal metrics directly on the chart.
• Flow, Structure, Smart$, Liquidity, and Divergence — all live.
• Designed for both scalpers and swing traders to assess micro-context instantly.
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🧠 Smart Money Intelligence Layer
The Smart Money Index dynamically evaluates the harmony (or conflict) between price momentum and volume acceleration. When institutions accumulate or distribute discreetly, volume surges ahead of price. HMS detects this divergence and overlays it as glowing smart money zones.
◈ ACCUM → Institutional absorption, early uptrend formation.
◈ DISTRIB → Distribution and top-heavy conditions.
○ IDLE → Neutral flow equilibrium.
Divergences between price and volume are signaled using holographic alerts ( ⚠ ALERT ) to highlight exhaustion or trap conditions — often precursors to structural reversals.
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🌀 Fractal Market Structure Engine
The fractal subsystem recursively identifies local pivot symmetry, connecting micro-structural highs and lows into a holographic skeleton.
• Bullish Structure — Higher highs & higher lows align (▲ BULLISH).
• Bearish Structure — Lower highs & lower lows dominate (▼ BEARISH).
• Ranging — Fractal symmetry balance (◆ RANGING).
Each transition is visually represented through adaptive glow intensity, producing a living contour of market evolution .
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🔥 Volume Heat Map Projection
The heatmap acts as a volumetric X-ray of the recent 100–300 bars. Each horizontal segment reflects liquidity density, rendered with gradient opacity from cold (inactive) to hot (highly active).
• Detects hidden accumulation shelves and distribution ridges.
• Identifies imbalanced liquidity corridors (voids).
• Reveals the invisible scaffolding of the order book.
When combined with smart money zones and structure lines, it creates a multi-layered holographic perspective — allowing traders to see liquidity clusters and their interaction with evolving structure in real time.
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💎 Holographic Visual Engine
Every element of HMS is dynamically color-mapped to its visual theme . Each theme carries a distinct personality:
Aeon — Neon blue plasma aesthetic; futuristic and fluid.
Cyber — High-contrast digital energy; circuit-like clarity.
Quantum — Deep space gradients; reflective of non-linear flow.
Neural — Organic transitions; biological intelligence simulation.
Plasma — Vapor-bright gradients; high-energy reactive feedback.
Crystal — Minimalist, transparent geometry; pristine data visibility.
Optional Glow Effects and Pulse Animations create a living hologram that responds to real-time market conditions.
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🧭 HUD Analytics Table
A live data matrix placed anywhere on-screen (top, middle, or side). It summarizes five critical systems:
Flow: Order flow bias — ▲ BUYING / ▼ SELLING / ◆ NEUTRAL.
Struct: Microstructure direction — ▲ BULLISH / ▼ BEARISH / ◆ RANGING.
Smart$: Institutional behavior — ◈ ACCUM / ◈ DISTRIB / ○ IDLE.
Liquid: Market efficiency — ⚡ VOID / ● NORMAL.
Diverg: Price/Volume correlation — ⚠ ALERT / ✓ CLEAR.
Each metric’s color dynamically adjusts according to live readings, effectively serving as a neural HUD layer for rapid interpretation.
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🚨 Alert Conditions
Stay informed in real time with built-in alerts that trigger under specific structural or liquidity conditions.
Liquidity Void Detected — Market inefficiency or thin volume region identified.
Strong Order Flow Detected — Aggressive buying or selling momentum shift.
Smart Money Activity — Institutional accumulation or distribution underway.
Price/Volume Divergence — Volume fails to confirm price trend.
Market Structure Shift — Fractal structure flips directional bias.
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⚙️ Customization Parameters
Adjustable Microstructure Depth (20–200 bars).
Configurable Imbalance Ratio and Liquidity Threshold .
Adaptive Smart Money Sensitivity via Accumulation Threshold (%).
Multiple Fractal Depth Layers for precise structural analysis.
Scalable Heatmap Resolution (5–20 levels) and opacity control.
Selectable HUD Position to suit personal layout preferences.
Each parameter adjusts the balance between visual clarity and data density , ensuring optimal performance across intraday and macro timeframes alike.
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🧩 Trading Application
Identify early signs of institutional activity before breakouts.
Track structure transitions with fractal precision.
Locate hidden liquidity voids and high-value areas.
Confirm strength of trends using order-flow bias.
Detect volume-based divergences that often precede reversals.
HMS is designed not just for observation — but for contextual understanding . Its purpose is to help traders anchor strategies in liquidity and flow dynamics rather than surface-level price action.
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🪞 Philosophy
Markets are holographic. Each candle contains a reflection of every other candle — a fractal within a fractal, a structure within a structure. The HMS is built to reveal that reflection, allowing traders to see through the market’s multidimensional fabric.
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Developed by: AlphaNatt
Version: v6
Category: Market Microstructure | Volume Intelligence
Framework: PineScript v6 | Holographic Visualization System
Not financial advice
Indicadores e estratégias
Bullish & Bearish Sucker Move Detector - Bilalian77How to understand the Impulsive Sucker move:
Pre Req: Stock should be in a clear uptrend and above 50MA on the daily chart.
Price should drop with 3-5 big red candles in a direction early in the morning, these candles are institutional manipulation candles. They happen with in first 20-30 minutes of the market open.
Price should be at or near a support level with previous liquidity bounce (this can be a previous day low, pre market low, previous day close or previous day high.
The last candle in this move can be a big red candle with Large volume compared to the previous candles.
The next candle will be a green candle (either TOWER candle aka ENGULFING or a JOHN WICK candle aka dragon fly) with SMALL volume than the previous candle.
This is a confirmed reversal signal.
Enter at the head of John Wick candle, stoploss below the John wick candle.
Profit target will be 9EMA retest, VWAP retest or 50% retracement of the Red candle moves.
Options should be at the money 7-14 days out.
DEMI Spaghetti IndicatorCorrelation Pairs Spread Trader
🎯 Purpose
This indicator is specifically designed for correlation spread trading between highly correlated cryptocurrency pairs. Each color group represents two assets that typically move together, allowing traders to identify spread trading opportunities when the correlation temporarily breaks.
📊 How It Works For Spread Trading
Color-Coded Correlation Groups: Similar colors = correlated pairs
Spread Visualization: The difference between lines shows the spread between correlated assets
Mean Reversion Signals: When correlated pairs diverge significantly, it creates potential mean reversion opportunities
💡 Trading Strategy
Identify Correlated Pairs (same color group)
Monitor Spread Divergence - when percentage changes differ significantly
Enter Spread Trades:
Buy the underperforming asset
Sell the outperforming asset
Wait for Correlation Restoration - profit when spread narrows back to normal
🎨 Correlation Groups:
🔴 Red Group: ARB/SUI - DeFi tokens
🔵 Blue Group: 1INCH/CRV - DEX tokens
🟢 Green Group: AXS/MANA - Gaming/Metaverse
🟣 Purple Group: SHIB/DOGE - Meme coins
🟦 Teal Group: ALGO/DOT - Layer 1 protocols
⚪ Yellow/White: ETH/BTC - Market leaders
JKL HTF S/D Zones JKL HTF S/D Zones
A small tool offered by grace—a reminder that wisdom is given, not earned. May you use it wisely and humbly, and let its fruit lift others up.
Purpose: render HTF Supply/Demand, decision boxes, and clean retest edges.
Use: mark the box edge; wait for retest + confirming candle + volume; manage RR ≥ 1.5R.
Reminder: Anchors decide • Flow aligns • RR protects.
Not financial advice. Practice discipline, walk in truth, and pass the good on.
“To God be the glory—for His steadfast love.”
Disclaimer:
Educational only — not financial advice. Use at your own risk.
No guarantees. Trade responsibly; test before live.
For study, not signals. You are responsible for outcomes.
David
Long Shot ESPurpose: Highlights trend direction and strength to support quick trading decisions.
Advantages: Candle coloring, visual arrows for key signals, status table for indicators, and configurable alerts for real-time notifications.
How to Use: Follow colored candles and arrows to identify trend opportunities, check the status table for confirmation, and use alerts to act on important signals.
Chartnes Trend StrategyChartnes Trend Strategy displays long entry setups with fixed price levels for Entry, Stop Loss and Take Profit directly on the chart.
Focus on calm, structured trading on daily timeframe.
No performance claims and no financial advice.
Chart visualization only.
Chartnes Trend Strategy zeigt Long-Entry Setups mit festen Preisniveaus für Entry, Stop Loss und Take Profit direkt im Chart.
Fokus auf strukturiertes, ruhiges Handeln im Daily-Bereich.
Keine Performance-Versprechen, keine Beratung. Darstellung reiner Chart-Information.
The Ultimate Smart Money AQP + Reversal + Risk-Reward DashboardKEY FEATURES
Add. Analyze. Execute.
The Smart Money Way.
#AQUNAT_PRICE
#AQUNAT_PRICE
#AQUNAT_PRICE
FeatureBenefit15 Buy + 13 Sell Conditions Institutional-grade signal engine Next Target Prediction Auto-calculates closest pivot level Risk-Reward Ratio (Long/Short)Filters trades ≥ 2.0:1Wick Reversal Detector Bull/Bear Wick, Extreme, Outside, Doji Hot Zone Detection DPZ (Red), GPZ (Green), MTZ Valuation Engine Over/Undervalued vs VPOC, TC, BC Multi-Timeframe Summary Daily, Weekly, Monthly bias Buy/Sell Quant Layers Shows support/resistance clusters Probability Table PP-Tested vs PP-Untested rules Novice Mode Simplified "Yes/No" signals Customizable Levels Show All, Key, or None Alerts Built-InL3/H3, R1/S1, VPOC breaks
USE CASES & TRADING STRATEGIES
1. Scalping with Wick + Hot Zone (5M–15M)
Rule: Trade only when "Wick Reversal = Yes" + Hot Zone = GPZ
text Example:
Wick: Yes - Bull Wick
Hot Zone: GPZ: VPOC+PP
Buy Count: 12/15
→ Enter long at pullback to VPOC
Target: Next R1
Stop: Below L3
RR: 2.8:1
2. Risk-Reward Filter Trading (15M–1H)
Rule: Enter only if RR ≥ 2.0
text Long RR: 2.5 (Green)
Short RR: 1.4 (Gray)
→ Only take longs
Entry: Current Open
Target: Avg of Buy Targets
Stop: Avg of Buy Layers
3. Reversal Trading at L3/H3
Rule: Reversal Signal + Wick + Camarilla = Lower/Higher
text Price < L3
Reversal Signal: Bull Reversal
Camarilla: Lower Value
Wick: Yes - Bull Wick
→ High-Probability Bottom Reversal
4. Trend Continuation (PP-Untested)
Rule: Day Expectation = Bullish Beyond R1 + No Reversal
text Price > R1
Expectation: Extended Move
No Wick Reversal
→ Trail stop below PP
Target: R2 or H3
5. Multi-Timeframe Confluence
Rule: Enter when ≥2 timeframes agree
TFBuySellBiasDaily114BullishWeekly103BullishSummaryStrong Buy
→ Wait for pullback to Buy Layer (S1 or L3)
HOW TO READ THE DASHBOARD
Column Meaning Timeframe D, W, M Open Price Session open PP, R1, S1, etc . Key levels (highlighted if in Hot Zone) Buy X/15 (≥10 = Strong)Sell X/13 (≥7 = Strong)Wick Reversal "Yes - Bull Wick" = Enter Next Target Closest pivot level Long/Short RR Green = Valid trade Reversal Signal Bull/Bear Reversal at extremes Valuation Over/Undervalued Hot Zone DPZ = Sell, GPZ = Buy Camarilla Higher/Lower Value Day Expectation Momentum direction
PROBABILITY TABLE (PP-Tested vs PP-Untested)
LevelTouch%Close%PP-TestedPP-UntestedPP63%N/A All rules Trending rulesL173.3%46.6%Fade reversions73.8% close >L1L2↓50%↓70%*Take partials61.9% touchedL3↓25%90.9%*Avoid extremes72.4% touchedL4+Rare80%*High risk77.8% touched
*PP-Tested = Price opened inside CPR
*PP-Untested = Price opened outside CPR
PRO TIPS
Best on 5M–1H charts
Use with volume profile for VPOC confirmation
Set alerts on L3/H3 crossover or RR ≥ 2.5
Novice Mode for beginners (Yes/No only)
Hide levels to declutter: Show Levels = Key
Combine with A Quant Price Institutional Matrix for macro view
IDEAL MARKETS
Forex (EURUSD, GBPUSD, USDJPY)
Indices (NAS100, SPX500)
Crypto (BTC, ETH – set 6–8 decimals)
Futures (ES, NQ, CL)
SETUP GUIDE
Open TradingView
Go to Indicators
Search: AQuantPrice Dashboard
Click Add to Chart
Customize:
Min Buy = 10, Min Sell = 7
Min RR = 2.0
Show Levels = Key
Novice Mode = On (for beginners)
AUTHOR
© @AQuant_Price
Professional Pine Script Developer | 12+ Years in Algo Trading
Trusted by 15,000+ traders worldwide.
Not financial advice. Trade at your own risk.
FINAL TAGLINE
"One Dashboard. All Decisions."
A Quant Price Dashboard – Small Timeframes ALL IN ONE
Your Edge. Live.
Aquantprice: Institutional Structure MatrixSETUP GUIDE
Open TradingView
Go to Indicators
Search: Aquantprice: Institutional Structure Matrix
Click Add to Chart
Customize:
Min Buy = 10, Min Sell = 7
Show only PP, R1, S1, TC, BC
Set Decimals = 5 (Forex) or 8 (Crypto)
USE CASES & TRADING STRATEGIES
1. CPR Confluence Trading (Most Popular)
Rule: Enter when ≥3 timeframes show Buy ≥10/15 or Sell ≥7/13
text Example:
Daily: 12/15 Buy
Weekly: 11/15 Buy
Monthly: 10/15 Buy
→ **STRONG LONG BIAS**
Enter on pullback to nearest **S1 or L3**
2. Hot Zone Scalping (Forex & Indices)
Rule: Trade only when price is in Hot Zone (closest 2 levels)
text Hot: S1-PP → Expect bounce or breakout
Action:
- Buy at S1 if Buy Count ↑
- Sell at PP if Sell Count ↑
3. Institutional Reversal Setup
Rule: Price at H3/L3 + Reversal Condition
text Scenario:
Price touches **Monthly L3**
L3 in **Hot Zone**
Buy Count = 13/15
→ **High-Probability Reversal Long**
4. CPR Width Filter (Avoid Choppy Markets)
Rule: Trade only if CPR Label = "Strong Trend"
text CPR Size < 0.25 → Trending
CPR Size > 0.75 → Sideways (Avoid)
5. Multi-Timeframe Bias Dashboard
Use "Buy" and "Sell" columns as a sentiment meter
TimeframeBuySellBiasDaily123BullishWeekly89BearishMonthly112Bullish
→ Wait for alignment before entering
HOW TO READ THE TABLE
Column Meaning Time frame D, W, M, 3M, 6M, 12MOpen Price Current session open PP, TC, BC, etc. Pivot levels (color-coded if in Hot Zone) Buy X/15 conditions met (≥10 = Strong Buy)Sell X/13 conditions met (≥7 = Strong Sell)CPR Size Histogram + Label (Trend vs Range)Zone Hot: PP-S1, Med: S2-L3, etc. + PP Distance
PRO TIPS
Best on 5M–1H charts for entries
Use with volume or order flow for confirmation
Set alerts on Buy ≥12/15 or Sell ≥10/13
Hide unused levels to reduce clutter
Combine with AQuantPrice Dashboard (Small TF) for full system
IDEAL MARKETS
Forex (EURUSD, GBPUSD, USDJPY)
Indices (NAS100, SPX500, DAX)
Crypto (BTC, ETH – use 6–8 decimals)
Commodities (Gold, Oil)
🚀 **NEW INDICATOR ALERT**
**Aquantprice: Institutional Structure Matrix**
The **ALL-IN-ONE CPR Dashboard** used by smart money traders.
✅ **6 Timeframes in 1 Table** (Daily → Yearly)
✅ **15 Buy + 13 Sell Conditions** (Institutional Logic)
✅ **Hot Zones, CPR Width, PP Distance**
✅ **Fully Customizable – Show/Hide Any Level**
✅ **Real-Time Zone Detection** (Hot, Med, Low)
✅ **Precision up to 8 Decimals**
**No more switching charts. No more confusion.**
See **where institutions are positioned** — instantly.
👉 **Add to Chart Now**: Search **"Aquantprice: Institutional Structure Matrix"**
🔥 **Free Access | Pro-Level Insights**
*By AQuant – Trusted by 10,000+ Traders*
#CPR #PivotTrading #SmartMoney #TradingView
FINAL TAGLINE
"See What Institutions See — Before They Move."
Aquantprice: Institutional Structure Matrix
Your Edge. One Dashboard.
Quasimodo Pattern Strategy Back Test [TradingFinder] QM Trading🔵 Introduction
The QM pattern, also known as the Quasimodo pattern, is one of the popular patterns in price action, and it is often used by technical analysts. The QM pattern is used to identify trend reversals and provides a very good risk-to-reward ratio. One of the advantages of the QM pattern is its high frequency and visibility in charts.
Additionally, due to its strength, it is highly profitable, and as mentioned, its risk-to-reward ratio is very good. The QM pattern is highly popular among traders in supply and demand, and traders also use this pattern.
The Price Action QM pattern, like other Price Action patterns, has two types: Bullish QM and Bearish QM patterns. To identify this pattern, you need to be familiar with its types to recognize it.
🔵 Identifying the QM Pattern
🟣 Bullish QM
In the bullish QM pattern, as you can see in the image below, an LL and HH are formed. As you can see, the neckline is marked as a dashed line. When the price reaches this range, it will start its upward movement.
🟣 Bearish QM
The Price Action QM pattern also has a bearish pattern. As you can see in the image below, initially, an HH and LL are formed. The neckline in this image is the dashed line, and when the LL is formed, the price reaches this neckline. However, it cannot pass it, and the downward trend resumes.
🔵 How to Use
The Quasimodo pattern is one of the clearest structures used to identify market reversals. It is built around the concept of a structural break followed by a pullback into an area of trapped liquidity. Instead of relying on lagging indicators, this pattern focuses purely on price action and how the market reacts after exhausting one side of liquidity. When understood correctly, it provides traders with precise entry points at the transition between trend phases.
🟣 Bullish Quasimodo
A bullish Quasimodo forms after a clear downtrend when sellers start losing control. The market continues to make lower lows until a sudden higher high appears, signaling that buyers are entering with strength. Price then pulls back to retest the previous low, creating what is known as the Quasimodo low.
This area often becomes the final trap for sellers before the market shifts upward. A visible rejection or displacement from this zone confirms bullish momentum. Traders usually place entries near this level, stops below the low, and targets at previous highs or the next resistance zone. Combining the setup with demand zones or Fair Value Gaps increases its accuracy.
🟣 Bearish Quasimodo
A bearish Quasimodo forms near the top of an uptrend when buyers begin to lose strength. The market continues to make higher highs until a sudden lower low breaks the bullish structure, showing that selling pressure is entering the market. Price then retraces upward to retest the previous high, forming the Quasimodo high, where breakout buyers are often trapped.
Once rejection appears at this level, it indicates a likely reversal. Traders can enter short near this area, with stop-losses placed above the high and targets near the next support or previous lows. The setup gains more reliability when aligned with supply zones, SMT divergence, or bearish Fair Value Gaps.
🔵 Setting
Pivot Period : You can use this parameter to use your desired period to identify the QM pattern. By default, this parameter is set to the number 5.
Take Profit Mode : You can choose your desired Take Profit in three ways. Based on the logic of the QM strategy, you can select two Take Profit levels, TP1 and TP2. You can also choose your take profit based on the Reward to Risk ratio. You must enter your desired R/R in the Reward to Risk Ratio parameter.
Stop Loss Refine : The loss limit of the QM strategy is based on its logic on the Head pattern. You can refine it using the ATR Refine option to prevent Stop Hunt. You can enter your desired coefficient in the Stop Loss ATR Adjustment Coefficient parameter.
Reward to Risk Ratio : If you set Take Profit Mode to R/R, you must enter your desired R/R here. For example, if your loss limit is 10 pips and you set R/R to 2, your take profit will be reached when the price is 20 pips away from your entry point.
Stop Loss ATR Adjustment Coefficient : If you set Stop Loss Refine to ATR Refine, you must adjust your loss limit coefficient here. For example, if your buy position's loss limit is at the price of 1000, and your ATR is 10, if you set Stop Loss ATR Adjustment Coefficient to 2, your loss limit will be at the price of 980.
Entry Level Validity : Determines how long the Entry level remains valid. The higher the level, the longer the entry level will remain valid. By default it is 2 and it can be set between 2 and 15.
🔵 Results
The following examples show the backtest results of the Quasimodo (QM) strategy in action. Each image is based on specific settings for the symbol, timeframe, and input parameters, illustrating how the QM logic can generate signals under different market conditions. The detailed configuration for each backtest is also displayed on the image.
⚠ Important Note : Even with identical settings and the same symbol, results may vary slightly across different brokers due to data feed variations and pricing differences.
Default Properties of Backtests :
OANDA:XAUUSD | TimeFrame: 5min | Duration: 1 Year :
BINANCE:BTCUSD | TimeFrame: 5min | Duration: 1 Year :
CAPITALCOM:US30 | TimeFrame: 5min | Duration: 1 Year :
NASDAQ:QQQ | TimeFrame: 5min | Duration: 5 Year :
OANDA:EURUSD | TimeFrame: 5min | Duration: 5 Year :
PEPPERSTONE:US500 | TimeFrame: 5min | Duration: 5 Year :
[turpsy]fixedMOR-Midnight open rangeThis script is a combination of the watermark script and midnight open range. agfxtrading and trades-dont-lie
This script helps to plot the midnight opening price, the standard deviations based on your choice, shows the opening price of New York open, New York PM session, as well as any time you want. Also, it shows historical session based on the lookback timing you want. You can also apply a watermark on your chart.
I modified the original scripts by extending the applications, increasing the number of lines, debugged,fixed and customized it to my choice.
Not for sale.
RED-E Gamma Range DetectorRED-E Gamma Range Detector
Overview
The RED-E Gamma Range Detector identifies key support and resistance zones based on recent price action and volume distribution, combined with a simple momentum ribbon to help traders visualize trend direction. It's designed to highlight potential areas where price may react, inspired by the concept of gamma exposure levels in options trading.
How It Works
1. Support & Resistance Zones (Green & Red Boxes)
RED-E analyzes the recent price range over a customizable lookback period
It identifies high-probability support levels (green boxes) below current price
It identifies high-probability resistance levels (red boxes) above current price
These zones represent areas where price has historically shown increased activity
2. Gamma Flip Level (Yellow Dashed Line)
The yellow line represents the approximate "gamma flip" - the midpoint of the recent range
Above this line: Price tends to be more stable with range-bound behavior
Below this line: Price tends to be more volatile with trending behavior
This level acts as a key pivot point for market structure
3. Momentum Ribbon (Green/Red Fill)
A simple visual indicator using 9 and 21 period EMAs
Green ribbon: 9 EMA is above 21 EMA (bullish momentum)
Red ribbon: 9 EMA is below 21 EMA (bearish momentum)
Ribbon width shows strength of trend (wider = stronger trend)
How to Use
For Range Trading:
Look for buy signals near green support zones when above gamma flip
Look for sell signals near red resistance zones when above gamma flip
Price tends to bounce between zones in stable conditions
For Trend Trading:
Watch for breakouts above resistance or below support zones
Use the momentum ribbon to confirm trend direction
Wider ribbon gaps indicate stronger directional moves
For Risk Management:
Use support/resistance zones for stop-loss placement
Recognize increased volatility potential below the gamma flip
Adjust position sizing based on your proximity to key zones
Settings
Lookback Period: Number of bars to analyze (default: 20)
Lower values = more responsive to recent price action
Higher values = more stable, longer-term levels
Best Practices
Works best on liquid instruments (major stocks, indices, forex pairs)
Combine with other technical analysis tools for confirmation
Most effective on 1H, 4H, and daily timeframes
Always use proper risk management and stop losses
Why "RED-E"?
RED-E stands for being Ready to identify critical gamma levels, support/resistance zones, and momentum shifts - keeping you prepared for market moves before they happen.
Educational Note
This indicator approximates gamma exposure concepts using price and volume analysis. It does not use actual options data. The term "gamma" refers to the rate of change in options delta and how market makers hedge their positions, which can create support/resistance at certain price levels.
Disclaimer
This indicator is for educational and informational purposes only. It does not guarantee profitable trades. Past performance is not indicative of future results. Always conduct your own analysis and manage risk appropriately. Trading involves substantial risk of loss.
Recommended Categories
Primary Category:
✅ Support and Resistance
Secondary Categories:
✅ Momentum
✅ Trend Analysis
✅ Volatility
[turpsy]ICT HTF&KZ-Mt&ADR[Combined]This script is useful in helping with plotting higher timeframe candles, identifying the killzones, as well as plotting the ADR that helps to know how far a candle has moved relative to stated time.
This script is a combination of some free scripts out there.
Both free and open source scripts from @ fadizeidan & @ tradeforopp resulted in this. I did the combination of the scripts, debugging, applying it to suit my purpose.
Special thanks to them.
Not for sale.
Static OHLC – colour suited for both dark and light themeThis indicator gives open, High, Low and close of yesterday and they before yesterday!
This gives strong support and resistance level for intraday traders!
fibonacci2Library "fibonacci2"
Useful methods to calculate and display fibonacci retracement
modelParamsNew(point_0, point_1)
Parameters:
point_0 (chart.point)
point_1 (chart.point)
modelParamsNew(this, point_0, point_1)
Parameters:
this (viewParams)
point_0 (chart.point)
point_1 (chart.point)
method toModelParams(this, point_0, point_1)
Namespace types: viewParams
Parameters:
this (viewParams)
point_0 (chart.point)
point_1 (chart.point)
method createModel(params)
Namespace types: modelParams
Parameters:
params (modelParams)
method createView(this, params)
Namespace types: model
Parameters:
this (model)
params (viewParams)
method delete(view)
Namespace types: view
Parameters:
view (view)
levelModelParams
Fields:
level (series float)
levelViewParams
Fields:
level (series float)
color (series color)
line_width (series int)
line_style (series lineStyleEnum enum from Hamster-Coder/drawing/1)
levelModel
Represents a Fibonacci retracement level
Fields:
level (series float) : The Fibonacci level ratio (e.g., 0.382, 0.5, 0.618)
value (series float) : The Y-coordinate on the chart corresponding to this level
modelParams
Represents the full parameter set for the Fibonacci retracement model
Fields:
point_1 (chart.point) : Coordinates of the anchor Point (1) of the model
point_0 (chart.point) : Coordinates of the anchor Point (0) of the model
levels (array) : List of levels to display for this model
model
Fields:
point_1 (chart.point)
point_0 (chart.point)
levels (array)
viewParams
Fields:
levels (array)
x1 (series int)
x2 (series int)
xloc (series string)
show_level_value (series bool)
value_format (series string)
force_overlay (series bool)
view
Fields:
model (model)
lines (array)
labels (array)
Multi Market Structure TrendOVERVIEW
Multi Market Structure Trend is a multi-layered market structure analyzer that detects trend shifts across five independent pivot-based structures . Each pivot uses a different lookback length, offering a comprehensive view of structural momentum from short-term to long-term.
The indicator visually displays the net trend direction using colored candlesticks and a dynamic gauge that tracks how many of the 5 market structure layers are currently bullish or bearish.
⯁ STRUCTURE TRACKING SYSTEM
The indicator tracks five separate market structure layers in parallel using pivot-based breakouts. Each one can be individually enabled or disabled.
Each structure works as follows:
A bullish MSB (Market Structure Break) occurs when price breaks above the most recent swing high.
A bearish MSB occurs when price breaks below the most recent swing low.
Structure breaks are plotted as horizontal lines and labeled with the number (1 to 5) corresponding to their pivot layer.
⯁ CANDLE COLOR GRADIENT SYSTEM
The indicator calculates the average directional bias from all enabled market structures to determine the current trend score.
Each structure contributes a score of +1 for bullish and -1 for bearish.
The total score ranges from -5 (all bearish) to +5 (all bullish) .
Candlesticks are colored using a smooth gradient:
Bright Green: Strong bullish trend (e.g., +5).
Orange: Neutral mixed trend (e.g., 0).
Red: Strong bearish trend (e.g., -5).
⯁ TREND GAUGE PANEL
Displayed at the middle-right side of the chart, the gauge shows the current trend strength in real time.
The bar consists of up to 10 gradient cells (5 up, 5 down).
Each active market structure pushes the score in one direction.
The central cell displays a numeric trend score:
+5 = All 5 market structures bullish
0 = Mixed/neutral trend
-5 = All 5 market structures bearish
Colors of the gauge bars match the candle gradient system.
⯁ USAGE
This indicator is highly effective for traders who want to:
Monitor short- and long-term structure shifts simultaneously on a single chart.
Use structure alignment as a trend confirmation tool — for example, waiting for at least 2 out of 5 structures to align before entering a trade.
Visually filter noise from different time horizons using the gauge and candle gradient.
Track CHoCH (Change of Character) transitions clearly and across multiple scales.
⯁ CONCLUSION
Multi Market Structure Trend offers a unique and powerful way to assess trend direction using stacked market structure logic. With five independently calculated structure layers, colored candle feedback, and a real-time trend gauge, traders can better time entries, filter noise, and confirm multi-timeframe alignment — all within a single chart overlay.
Quantum Trend Guardian MTF v2
💎 Quantum Trend Guardian MTF
No es un simple sistema de señales:
es un asistente de tendencia y riesgo diseñado para actuar como tu guardián operativo, filtrando el mercado con precisión cuántica.
Quantum Trend Guardian MTF
Quantum Trend Guardian MTF is a multi–timeframe trend and confirmation system designed for traders who demand precision, context, and operational control.
It combines intelligent structure recognition, momentum analysis, and adaptive risk management to deliver high–probability trading signals aligned with the dominant market flow.
⚙️ Main Components
🔹 1. Guardian MTF Panel
A real–time information dashboard that displays:
Global trend direction (bullish, bearish, or neutral).
Current risk level (normal, high volatility, climax candle, or news session).
Dynamic TrendScore, measuring trend alignment across multiple timeframes.
Directional confirmation per timeframe (1H, 30m, 15m) showing whether each layer supports or contradicts the global bias.
Instantly provides a clear, structured market overview before each trade.
🔹 2. Intelligent Signal Engine
Automatically detects continuation or reversal points validated by structure, momentum, and context.
Signals are visually classified for easy reading:
Standard entries (L / S) – filtered opportunities aligned with trend and low–risk conditions.
Trend initiations (TL / TS) – when a new directional impulse is confirmed.
Exhaustion or exit points (XL / XS) – when the move shows potential fatigue.
Premium opportunities – high–quality setups during strong alignment and optimal conditions.
🔹 3. Adaptive Risk System
Evaluates market quality in real time.
It identifies conditions such as volatility spikes, climactic candles, or sensitive news windows, automatically adjusting signal generation to keep you out of unfavorable environments.
🔹 4. Trend & Structure Filters
Two operation modes:
Safe mode (trend–aligned only) – generates signals strictly in the direction of the dominant trend.
Flexible mode (structural reversals) – allows countertrend setups only when a valid structural break and momentum confirmation are detected.
This flexibility lets the indicator adapt to both trend–following and smart–reversal strategies.
🔹 5. Dynamic Visual Context
The chart background changes subtly according to trend and risk status, providing an instant visual cue on whether the current environment is favorable for trading.
⚔️ Operational Advantages
Filters out noise and countertrend entries.
Visually reveals cross–timeframe alignment.
Performs exceptionally on high–volatility assets such as XAUUSD and BTCUSD.
Fully supports customizable TradingView alerts for every signal type.
Suitable for all trading styles — scalping, intraday, or swing.
💎 Quantum Trend Guardian MTF
More than a signal generator — it’s your trend and risk guardian,
engineered to interpret market flow with quantum–level precision.
ESPAÑOL
⚙️ Componentes principales
🔹 1. Panel “Guardian MTF”
Un panel visual avanzado que muestra en tiempo real:
Tendencia global (alcista, bajista o rango).
Nivel de riesgo actual (normal, alta volatilidad, vela clímax o evento sensible).
TrendScore dinámico, que mide la alineación de tendencias entre múltiples marcos de tiempo.
Dirección individual por timeframe (1H, 30m, 15m), indicando si cada uno acompaña o contradice la tendencia principal.
Permite leer de un vistazo la estructura y condiciones globales antes de ejecutar una operación.
🔹 2. Módulo de Señales Inteligentes
Detecta automáticamente momentos de continuación o reversión validados por momentum, estructura y contexto.
Las señales se clasifican visualmente según su naturaleza:
Entradas estándar (L / S) – oportunidades filtradas por tendencia y riesgo.
Inicios de tendencia (TL / TS) – cuando se confirma un nuevo impulso direccional.
Salidas o agotamiento (XL / XS) – puntos donde el movimiento muestra fatiga.
Oportunidades Premium – movimientos de alta calidad bajo alineación total y condiciones favorables.
🔹 3. Sistema de Riesgo Adaptativo
Evalúa en tiempo real la calidad del entorno de mercado.
Identifica automáticamente situaciones de alta volatilidad, exceso de impulso, o zonas horarias sensibles, ajustando la emisión de señales para proteger al operador de entornos desfavorables.
🔹 4. Filtros de Tendencia y Estructura
El sistema puede operar en dos modos:
Modo seguro (solo a favor de tendencia) – emite entradas únicamente alineadas con la dirección dominante.
Modo flexible (reversas estructurales) – permite cambios de dirección validados por rompimiento estructural y confirmación de momentum.
De esta forma, el indicador se adapta tanto a estrategias de trend following como a smart reversals.
drawingLibrary "drawing"
Contains common types and methods to draw objects on the chart.
method toTextAlign(input)
Namespace types: series textHorizontalAlignEnum
Parameters:
input (series textHorizontalAlignEnum)
method toTextAlign(input)
Namespace types: series textVertialAlignEnum
Parameters:
input (series textVertialAlignEnum)
method toSize(input)
Namespace types: series sizeEnum
Parameters:
input (series sizeEnum)
method toStyle(input)
Namespace types: series lineStyleEnum
Parameters:
input (series lineStyleEnum)
Morning Straddle Backtest + Range Filter Morning Straddle Backtest
Purpose:
This script tests a Morning Straddle concept where a trader enters both long and short breakout orders based on the overnight range (22:00–06:00 by default).
It is designed for backtesting the effectiveness of volatility breakouts following low-volume overnight sessions.
Setup
Overnight session: 22:00–06:00 (adjustable).
At the end of the overnight session, the script automatically places:
A long stop order above the range high.
A short stop order below the range low.
Both use an ATR-based buffer for cleaner breakouts (default 5%).
When one side triggers, the opposite order is cancelled if OCO mode is active.
Adjustable Parameters
- Session - Defines the overnight hours used for the range.
- ATR Length - Number of bars used for ATR calculation.
- ATR Buffer % - Distance above/below range for entry & stop placement.
- Risk:Reward Ratio - Determines the TP distance relative to SL.
- Stop-Loss - Choose between “Behind Range” or “Mid-Range (50%)” with ATR buffer added.
- OCO - Cancels opposite order once one side triggers.
- Close All EOD - Closes all open trades at the end of day (default 22:00).
- Range Filter – Enables filtering of trades only when the overnight range size falls within a defined threshold.
-Min Range / Max Range – Define acceptable range size boundaries.
-Display Units – Select whether the filter is measured in Price Change, Pips, or Points.
- Stats Panel Settings – Toggle visibility, position (Top/Bottom Left/Right), and background opacity.
Visual
The overnight range (22:00–06:00) is highlighted on the chart with a teal background for clarity.
No lines are drawn for the high and low.
Strategy Notes
Works best on 5m or 15m charts where the overnight range can be clearly defined.
Backtests should be run over multiple months to gauge performance consistency.
Can be adapted for other markets by adjusting session times and ATR settings. For example, S&P initial balance breakout using 14:30-15:30 range time.
Stats Panel Displays
- 20-Day Range Data: Maximum, Average, and Minimum range sizes.
- Today’s Range: With automatic classification — Huge, Normal, or Small.
- Average Winning Range: Average size of the overnight range on profitable days.
- Average Losing Range: Average size of the overnight range on losing days.
- Filter Status: Displays whether the range met the filter criteria — Range OK, Skipped, or Off.
Multi-EMA Session Breakout Strategythis is a strategy that use the session high and low and the EMA LOWS 2 3 6 9 110 355 AND 480
FXGringo1.2FXGringo - Decision Points
This indicator identifies support and resistance zones based on reference points provided in the levels field, interpreting them as potential areas of price reaction. From these points, the script plots strength levels, allowing the trader to visualize regions where the price may encounter natural barriers to equilibrium between supply and demand.
Although the internal calculations do not directly reveal the complete methodology, its logic can be compared to concepts similar to gamma levels (GEX), insofar as it seeks to map zones where price movement tends to be more sensitive due to the concentration of positions or relevant market flows.
How the Indicator Works:
Input of External Points:
The user manually provides price points that represent potential support or resistance levels.
Strength Classification:
The indicator processes these points and plots each level based on criteria such as distance from the current price, frequency of occurrence in the history, and pre-calculated volatility variation. This generates a visual and quantitative hierarchy among the provided levels.
Context Analysis:
Based on the interaction between price and these levels, the script identifies and plots zones of greater relevance—where the price tends to react, consolidate, or reverse.
Confluence Analysis:
Observe how the external levels align with peaks, troughs, and volume zones. The overlap of strong levels often indicates areas of great institutional interest.
Risk Management:
Use the identified levels to plan entry and exit points and stop-loss or take-profit placement, based on the relative strength of the levels.
Modern Conceptual Basis: The methodology, although proprietary, can be compared to how gamma levels reflect zones of greater price sensitivity relative to the market's aggregate exposure.
Conclusion:
This indicator acts as an advanced tool for interpreting support and resistance levels, using external data to build a dynamic map of market interest zones. Its operation can be seen as an analogy to gamma levels (GEX), identifying regions where the price tends to react more significantly due to liquidity concentration or position imbalance. This approach provides the trader with a refined view of the areas of influence of large players, assisting in making decisions with greater precision and confidence.






















