PRICE ACTION TRAKKERThis indicator isolates the core price-phase engine from the full Price Action Tracker (PAT) system.
It identifies and visualises structural phases of price, including:
Upper phase boundary (dynamic resistance)
Lower phase boundary (dynamic support)
Phase average (mean-reversion anchor)
Pivot markers (LPH, LPL, oLPH, oLPL)
The phase engine dynamically adapts to evolving market structure using pivot behaviour and structural breaks. This creates a real-time visual map of how price is organising itself — independent of time-based indicators and without the lag associated with classical moving averages.
This version focuses exclusively on price action structure, making it clean, fast, and ideal as a core tool on its own.
However, it is also designed as a foundation for more advanced analysis and will expand over time as additional modules are released.
This phase engine works exceptionally well in combination with my other indicators, such as moving-average structure tools, volume-weighted frameworks, and trend-strength models. Together, they provide a layered view of market behaviour:
phase structure → trend bias → volume confirmation → entry logic.
This makes the indicator valuable for:
Intra-day and swing traders
Wyckoff and liquidity-based traders
Mean-reversion and range-trading strategies
Understanding where accumulation/distribution behaviour is forming
Identifying when a phase is likely ending or breaking
Future updates will add modular expansion paths (trend scoring, VWAP phase weighting, multi-phase confluence, and signal logic), while maintaining the simplicity and reliability of this core engine.
Works Best With:
This indicator is part of a broader toolkit designed to analyse structure, trend, and behaviour.
When used alongside my other published tools — such as trend-strength MAs, VWMA frameworks, and higher-timeframe bias indicators — it provides a complete, multi-layered view of market conditions.
Trend Analysis
SMC N-Gram Probability Matrix [PhenLabs]📊 SMC N-Gram Probability Matrix
Version: PineScript™ v6
📌 Description
The SMC N-Gram Probability Matrix applies computational linguistics methodology to Smart Money Concepts trading. By treating SMC patterns as a discrete “alphabet” and analyzing their sequential relationships through N-gram modeling, this indicator calculates the statistical probability of which pattern will appear next based on historical transitions.
Traditional SMC analysis is reactive—traders identify patterns after they form and then anticipate the next move. This indicator inverts that approach by building a transition probability matrix from up to 5,000 bars of pattern history, enabling traders to see which SMC formations most frequently follow their current market sequence.
The indicator detects and classifies 11 distinct SMC patterns including Fair Value Gaps, Order Blocks, Liquidity Sweeps, Break of Structure, and Change of Character in both bullish and bearish variants, then tracks how these patterns transition from one to another over time.
🚀 Points of Innovation
First indicator to apply N-gram sequence modeling from computational linguistics to SMC pattern analysis
Dynamic transition matrix rebuilds every 50 bars for adaptive probability calculations
Supports bigram (2), trigram (3), and quadgram (4) sequence lengths for varying analysis depth
Priority-based pattern classification ensures higher-significance patterns (CHoCH, BOS) take precedence
Configurable minimum occurrence threshold filters out statistically insignificant predictions
Real-time probability visualization with graphical confidence bars
🔧 Core Components
Pattern Alphabet System: 11 discrete SMC patterns encoded as integers for efficient matrix indexing and transition tracking
Swing Point Detection: Uses ta.pivothigh/pivotlow with configurable sensitivity for non-repainting structure identification
Transition Count Matrix: Flattened array storing occurrence counts for all possible pattern sequence transitions
Context Encoder: Converts N-gram pattern sequences into unique integer IDs for matrix lookup
Probability Calculator: Transforms raw transition counts into percentage probabilities for each possible next pattern
🔥 Key Features
Multi-Pattern SMC Detection: Simultaneously identifies FVGs, Order Blocks, Liquidity Sweeps, BOS, and CHoCH formations
Adjustable N-Gram Length: Choose between 2-4 pattern sequences to balance specificity against sample size
Flexible Lookback Range: Analyze anywhere from 100 to 5,000 historical bars for matrix construction
Pattern Toggle Controls: Enable or disable individual SMC pattern types to customize analysis focus
Probability Threshold Filtering: Set minimum occurrence requirements to ensure prediction reliability
Alert Integration: Built-in alert conditions trigger when high-probability predictions emerge
🎨 Visualization
Probability Table: Displays current pattern, recent sequence, sample count, and top N predicted patterns with percentage probabilities
Graphical Probability Bars: Visual bar representation (█░) showing relative probability strength at a glance
Chart Pattern Markers: Color-coded labels placed directly on price bars identifying detected SMC formations
Pattern Short Codes: Compact notation (F+, F-, O+, O-, L↑, L↓, B+, B-, C+, C-) for quick pattern identification
Customizable Table Position: Place probability display in any corner of your chart
📖 Usage Guidelines
N-Gram Configuration
N-Gram Length: Default 2, Range 2-4. Lower values provide more samples but less specificity. Higher values capture complex sequences but require more historical data.
Matrix Lookback Bars: Default 500, Range 100-5000. More bars increase statistical significance but may include outdated market behavior.
Min Occurrences for Prediction: Default 2, Range 1-10. Higher values filter noise but may reduce prediction availability.
SMC Detection Settings
Swing Detection Length: Default 5, Range 2-20. Controls pivot sensitivity for structure analysis.
FVG Minimum Size: Default 0.1%, Range 0.01-2.0%. Filters insignificant gaps.
Order Block Lookback: Default 10, Range 3-30. Bars to search for OB formations.
Liquidity Sweep Threshold: Default 0.3%, Range 0.05-1.0%. Minimum wick extension beyond swing points.
Display Settings
Show Probability Table: Toggle the probability matrix display on/off.
Show Top N Probabilities: Default 5, Range 3-10. Number of predicted patterns to display.
Show SMC Markers: Toggle on-chart pattern labels.
✅ Best Use Cases
Anticipating continuation or reversal patterns after liquidity sweeps
Identifying high-probability BOS/CHoCH sequences for trend trading
Filtering FVG and Order Block signals based on historical follow-through rates
Building confluence by comparing predicted patterns with other technical analysis
Studying how SMC patterns typically sequence on specific instruments or timeframes
⚠️ Limitations
Predictions are based solely on historical pattern frequency and do not account for fundamental factors
Low sample counts produce unreliable probabilities—always check the Samples display
Market regime changes can invalidate historical transition patterns
The indicator requires sufficient historical data to build meaningful probability matrices
Pattern detection uses standardized parameters that may not capture all institutional activity
💡 What Makes This Unique
Linguistic Modeling Applied to Markets: Treats SMC patterns like words in a language, analyzing how they “flow” together
Quantified Pattern Relationships: Transforms subjective SMC analysis into objective probability percentages
Adaptive Learning: Matrix rebuilds periodically to incorporate recent pattern behavior
Comprehensive SMC Coverage: Tracks all major Smart Money Concepts in a unified probability framework
🔬 How It Works
1. Pattern Detection Phase
Each bar is analyzed for SMC formations using configurable detection parameters
A priority hierarchy assigns the most significant pattern when multiple detections occur
2. Sequence Encoding Phase
Detected patterns are stored in a rolling history buffer of recent classifications
The current N-gram context is encoded into a unique integer identifier
3. Matrix Construction Phase
Historical pattern sequences are iterated to count transition occurrences
Each context-to-next-pattern transition increments the appropriate matrix cell
4. Probability Calculation Phase
Current context ID retrieves corresponding transition counts from the matrix
Raw counts are converted to percentages based on total context occurrences
5. Visualization Phase
Probabilities are sorted and the top N predictions are displayed in the table
Chart markers identify the current detected pattern for visual reference
💡 Note:
This indicator performs best when used as a confluence tool alongside traditional SMC analysis. The probability predictions highlight statistically common pattern sequences but should not be used as standalone trading signals. Always verify predictions against price action context, higher timeframe structure, and your overall trading plan. Monitor the sample count to ensure predictions are based on adequate historical data.
Heikin-Ashi Bar & Line with Colored Line & Signals//@version=6
indicator("Heikin-Ashi Bar & Line with Colored Line & Signals", overlay=true)
// Heikin-Ashi hesaplamaları
var float haOpen = na
haClose = (open + high + low + close) / 4
haOpen := na(haOpen) ? (open + close)/2 : (haOpen + haClose )/2
haHigh = math.max(high, haOpen, haClose)
haLow = math.min(low, haOpen, haClose)
// Trend hesaplamaları
haBull = haClose >= haOpen
haColor = haBull ? color.new(color.green, 0) : color.new(color.red, 0)
// HA Barları
plotcandle(haOpen, haHigh, haLow, haClose, color=haColor, wickcolor=haColor)
// HA Line (renk değişiyor)
lineColor = haBull ? color.green : color.red
plot(haClose, title="HA Close Line", color=lineColor, linewidth=2)
// Trend arka planı
bgcolor(haBull ? color.new(color.green, 85) : color.new(color.red, 85))
// Al/Sat sinyalleri (trend değişimlerinde)
longSignal = haBull and haClose > haOpen and haClose < haOpen
shortSignal = not haBull and haClose < haOpen and haClose > haOpen
plotshape(longSignal, title="Al Sinyali", style=shape.triangleup, location=location.belowbar, color=color.green, size=size.small)
plotshape(shortSignal, title="Sat Sinyali", style=shape.triangledown, location=location.abovebar, color=color.red, size=size.small)
MTF 4h Structure + FVG (CORRECTED)This is a fully customizable Multi-Timeframe (MTF) indicator for SMC traders. It overlays true Higher Timeframe market structure onto your current chart. While it defaults to the 4-Hour (4h) structure, you can easily change this to 1h, Daily, or Weekly in the settings to suit your strategy.
Key Features:
1. Dynamic MTF Overlay: Select any Higher Timeframe (HTF) in the settings. The script calculates true pivots on that timeframe and projects them onto your chart without repainting issues.
2. Active Dealing Range: Automatically displays the Swing High and Swing Low of the selected HTF.
3. Equilibrium (EQ): Marks the 50% level of the range to help you identify Premium (Sell) vs. Discount (Buy) zones.
4. HTF Fair Value Gaps (FVG): Detects and draws unmitigated FVGs from your selected timeframe, acting as high-probability POIs.
Visuals & Logic:
- Green/Red: Signals CHoCH (Trend Reversals).
- Gray: Signals BOS (Trend Continuation) - keeping the chart clean.
- Smart Calculation: Calculates structure explicitly on the HTF data to prevent false signals on lower timeframes.
How to use:
1. Add to your chart (e.g., 5m or 15m).
2. Open Settings -> Select your desired "Higher Timeframe" (Default is 4h).
3. Trade in the direction of the HTF Trend (Labels) and look for entries within HTF FVGs in the correct Discount/Premium zone.
Momentum Candle by DNDFXMomentum Candle v2 is a simple yet powerful indicator designed to detect strong momentum candles based on candle body size and the ratio between the body and total wick.
This indicator is ideal for traders who focus on:
Momentum trading
Breakout strategies
XAUUSD (Gold) scalping
Supply & Demand / Smart Money Concepts (SMC) confirmation
🔧 How the Indicator Works
The indicator analyzes each candle and classifies it as a Bullish Momentum or Bearish Momentum candle when these conditions are met:
✅ The candle body exceeds the minimum size
✅ The total wick is smaller compared to the body
✅ The Body-to-Wick ratio meets the strength filter
Visual signals include:
Green background for bullish momentum
Red background for bearish momentum
Up/Down triangle markers as entry guidance
⚙️ Customizable Parameters
Min Body Size (Points) – Sets the minimum candle body size
Min Body : Wick Ratio – Controls how dominant the body is compared to the wicks
All parameters can be optimized according to your trading style and timeframe.
✅ Best Use Cases
This indicator is useful for:
Breakout confirmation
Momentum validation
Filtering false breakouts
Scalping and intraday trading on XAUUSD
🧠 Trading Tips
For better accuracy, combine this indicator with:
Support & Resistance
Supply & Demand zones
Break of Structure (BOS) / CHoCH
Best performance on M5 – H1 timeframes.
⚠️ DISCLAIMER
This indicator is a supporting tool, not a guaranteed profit system. Always apply proper risk management. You are fully responsible for your trading decisions.
FVG PilotWhat it does
Automatically detects and draws Fair Value Gaps (FVGs) on the chart.
Removes an FVG as soon as it’s invalidated (bullish FVG invalid if price closes below its lower bound; bearish FVG invalid if price closes above its upper bound).
Triggers alerts only during Silver Bullet (SB) sessions in Europe/Berlin time when a new FVG is created.
Optionally draws two thin vertical lines at the start and end of each SB session so you can see the windows at a glance.
Runs on confirmed bars to avoid repainting.
How FVGs are detected
Wick mode (default):
Bullish FVG when low > high → gap [high , low]
Bearish FVG when high < low → gap [high, low ]
Body mode (optional): uses candle bodies instead of wicks:
Bullish FVG when current body low > prior body high
Bearish FVG when current body high < prior body low
Silver Bullet sessions (Europe/Berlin)
Three configurable session windows (default examples):
SB1: 10:00–11:00
SB2: 02:00–03:00
SB3: 07:00–08:00
Alerts for new FVGs fire only inside these windows.
Session lines: a thin vertical line is drawn on the first bar inside a session (start) and on the first bar after a session (end).
Inputs
Show Bullish / Bearish FVGs
Use Bodies (instead of wicks)
Minimum FVG size (in ticks)
Box opacity
SB sessions: enable/disable each window and set times (Europe/Berlin)
Session line toggle + color/width
Alerts included
SB (Berlin): Bullish FVG created – fires only during SB sessions
SB (Berlin): Bearish FVG created – fires only during SB sessions
Bullish FVG invalidated – fires when a bullish FVG is invalidated (no time filter)
Bearish FVG invalidated – fires when a bearish FVG is invalidated (no time filter)
How to set alerts (TradingView)
Click Create Alert.
Condition: choose this indicator, then pick one of the alert conditions above.
Select your alert options (once per bar close is recommended), then Create.
Tips
If you don’t see boxes, reduce Minimum FVG size or lower opacity (e.g., 70–85).
Body mode is stricter; start with wicks if you want more signals.
SB windows use Europe/Berlin and automatically account for DST.
The script respects platform limits for drawings; if your chart is cluttered, zoom in or reduce active sessions.
DT 20 200 VWAP Combo v2DT 20 200 VWAP Combo is a simple trend and bias tool that combines three core pieces of context on one chart
• Short term momentum with the 20 EMA
• Higher time frame trend with the 200 EMA
• Value with a flexible anchored VWAP
Use it to quickly answer three questions
What is the bigger picture trend
Where is price trading relative to value
Is my entry idea trading with or against that structure
What this indicator does
Plots a 20 EMA for short term momentum
Plots a 200 EMA for overall trend bias
Plots a VWAP that you can anchor in different ways
Session
Daily
Weekly
Monthly
Yearly
Colors the background when price and EMAs agree with the selected VWAP
Bull zone when 20 EMA is above 200 EMA and price is above VWAP
Bear zone when 20 EMA is below 200 EMA and price is below VWAP
Optionally prints labels when
20 EMA crosses above or below 200 EMA
Price crosses above or below the chosen VWAP
How to use it in your process
Set your VWAP anchor
Session if you are intraday focused
Daily or Weekly if you want a cleaner swing bias
Monthly or Yearly for longer swing context
Use the 200 EMA and anchored VWAP as your higher time frame filter
Only look for longs when price is above both
Only look for shorts when price is below both
Use the 20 EMA as your timing tool
Look for entries in the direction of the background color
Avoid trades that fight both EMAs and VWAP at the same time
This is not a complete trading system by itself
It is a context and confluence tool that works best when combined with your own price action and liquidity model such as structure shifts, sweeps, or a pattern based entry
Nothing in this script is financial advice
Always test and refine any idea in a demo environment and in a written plan before risking real capital
Fractal MTF MA System Overview Unlock the fractal nature of the market with a single, clean indicator. This tool allows you to visualize the exact same Moving Average length (default: 50) across 5 different timeframes simultaneously. By comparing "apples to apples" across time dimensions, you get a clear, immediate view of the overall market trend and momentum health.
No more switching charts or manually adding 5 different indicators. This script does it all with a single global setting.
Key Features
🧩 Fractal Logic: Applies one consistent calculation (e.g., 50 Period) to 15m, 30m, 1H, 2H, and 4H timeframes.
🎛️ Global Control: Change the Length or MA Type once, and it instantly updates all 5 lines. No need to adjust each line individually.
🚀 3 Calculation Modes: Switch between DEMA (Double Exponential - Default/Fast), EMA (Standard), or SMA (Smooth) to fit your trading style.
🎨 Visual Clarity: Choose between Step mode (for precise MTF levels) or Line mode (for a smoother, cleaner look).
How to Use This Indicator
1. Trend Following (The Fan) When the market is trending strongly, the lines will stack in perfect order:
Bullish: Price > 15m > 30m > 1H > 2H > 4H.
Bearish: Price < 15m < 30m < 1H < 2H < 4H.
Strategy: Ride the trend as long as the "Fan" is open and orderly.
2. Mean Reversion (The Snap-Back) When the price moves too far from the anchor line (the 4H line) and the gaps between the lines become extreme, the market is "overextended" (like a stretched rubber band).
Strategy: Watch for price to stall and cross back over the fastest line (15m) as an early sign of a correction towards the slower averages.
3. Dynamic Support & Resistance During a trend, price often pulls back to test the 1H or 2H lines before continuing. These lines act as dynamic support zones.
Settings
Global Length: Sets the lookback period for ALL lines (Default: 50).
MA Type: Select DEMA, EMA, or SMA.
Line Style: Toggle between Step (precise) or Line (smooth).
Individual Toggles: You can hide specific timeframes via the settings menu if you want a cleaner chart.
Enjoy the clean charts! Feedback and likes are appreciated. 🚀
Multi-MA + Trend StatusMulti-MA + Trend Status is a streamlined trend analysis tool designed to simplify market state identification using a robust Moving Average (MA) crossover logic. By analyzing the relationship between price and three key Moving Averages (Fast, Medium, and Slow), this indicator instantly classifies the market into one of 9 distinct trend phases, displayed as a clean, non-intrusive text overlay on your chart.
Created by ivanpsh (MIT License).
Key Features
9 Distinct Trend States: Automatically detects and displays specific market conditions:
🟢 Bullish Phases: Uptrend, Bullish Crossover, Fast Bullish Crossover, Bottom Bounce.
🔴 Bearish Phases: Downtrend, Bearish Crossover, Fast Bearish Crossover, Top Pullback, Dead Cat Bounce.
Visual Simplicity: Displays the current market status in a large, transparent text overlay (Bottom Right by default) that provides instant clarity without cluttering your analysis.
Multi-Timeframe (MTF) Support: Monitor the trend of a higher timeframe (e.g., Daily) while trading on a lower timeframe (e.g., 5-minute) without switching charts.
Fully Configurable MAs:
Types: Supports SMA, EMA, RMA (Wilder's), WMA, and VWMA.
Lengths: Fully adjustable lengths (Defaults: 20, 50, 250).
Source: Calculation source is customizable (Close, Open, High, Low, HL2, etc.).
Integrated MA Overlay: Optionally view the actual Moving Average lines on the chart.
Color Coded: Fast (Purple), Medium (Orange), and Slow (Red) for easy differentiation.
Toggle: Lines are visible by default but can be hidden instantly via settings.
How It Works
The indicator logic compares the current Price against three Moving Averages (Default: 20, 50, 250) to determine the market "Health":
Uptrend: Price > 20 > 50 > 250 (Strongest Bullish Signal)
Downtrend: Price < 20 < 50 < 250 (Strongest Bearish Signal)
Crossovers: Identifies early reversals when Fast/Medium MAs cross the Slow MA.
Bounces & Pullbacks: Identifies specific retracement patterns (e.g., "Bottom Bounce" or "Top Pullback") where price interacts with MAs in a counter-trend move.
Settings Guide
Indicator Timeframe: Select the timeframe used for calculations (Default: Chart).
MA Type: Choose the averaging method (Default: SMA).
Visuals: Customize text size, screen position, and opacity.
Show 'No Match' Text: By default, the text overlay hides if the market is choppy and fits none of the 9 specific states. You can enable this to see a "No Logic Match" status instead.
This script is open-source under the MIT license. Feel free to use, study, and modify it for your own trading systems.
Fanfans-Supertrend 10in1
## English Summary
This indicator, named "Multi-Indicator Trend Grid (Weighted Version)", is a comprehensive technical analysis tool. It integrates 10 classic technical indicators, categorized into three tiers based on trading weight: Tier 1 (GWMA, EMA, MACD) are core trend judgment indicators; Tier 2 (RSI, CCI, Bollinger Bands) are trend confirmation indicators; Tier 3 (VWAP, KDJ, ADX, Supertrend) are auxiliary filtering indicators. Using MACD histogram coloring logic, it visually displays the strength changes of bullish/bearish trends through dark/light green and dark/light red colors. This tool helps traders quickly identify market trend directions, confirm signal validity, and filter out false signals. It is particularly suitable for multi-timeframe analysis and trend reversal warnings, providing a visual "trend consensus" judgment method.
## 中文总结
此指标名为"多指标趋势网格（权重排序版）"，是一个综合性的技术分析工具。它整合了10个经典技术指标，按照交易权重分为三个梯队：第一梯队(GWMA、EMA、MACD)为核心趋势判断指标；第二梯队(RSI、CCI、布林带)为趋势确认指标；第三梯队(VWAP、KDJ、ADX、Supertrend)为辅助过滤指标。指标采用MACD柱状图配色逻辑，通过深绿/浅绿和深红/浅红直观显示多头/空头趋势的强弱变化。该工具能帮助交易者快速识别市场趋势方向、确认信号有效性并过滤虚假信号，特别适用于多时间框架分析和趋势转换预警，提供了一种可视化的"趋势共识"判断方法。
TT - RSI Trend and SentimentImportant Note : This indicator is provided for informational and educational purpose only and should not be relied on for making financial decisions. Please consult with a qualified financial advisor for making investment decisions. This indicator may have bugs.
TT - RSI Trend and Sentiment
This custom indicator combines the traditional RSI Value with a unique Sentiment Histogram to give you the most recent bias of the market, going beyond simple overbought/oversold levels.
RSI Value (Pink Line)
The standard Relative Strength Index, showing current momentum.
Sentiment Histogram (Green/Red Bars)
This is the core feature; it tracks the market's "memory."
- What it Measures: It calculates the time difference (in bars) between the last visit to the Overbought (70) zone and the last visit to the Oversold (30) zone.
- Green Bars (Above 50): The last significant activity was a trip to the Overbought zone. Buying Pressure is Dominant.
- Red Bars (Below 50): The last significant activity was a trip to the Oversold zone. Selling Pressure is Dominant.
Bias Indicator
Provides confirmation of trend strength.
"Lean Up/Down": Confirms a strong, sustained bias (Green or Red) has been held for a significant period.
General Notes:
The histogram color can be used to confirm the trend before entering a trade.
Key Signal: Watch for the RSI Line (Momentum) and Histogram (Memory) to conflict. For example, a high RSI (68) but a Red Histogram signals a weak, temporary rally within a more dominant downtrend.
XXMonk Sequence Price Grid (Manual Origin + U)⭐ XXMonk Sequence Grid – Harmony Price Levels (1–144 Sequence Engine)
Algorithmic Sequence Mapping for Price Displacement
The XXMonk Sequence Grid is a precision mapping tool designed to project algorithmic price levels using harmonic numerical sequences derived from the ICT-inspired time/price symmetry concept.
This indicator takes a user-defined Origin (EQ level) and generates symmetrical expansion bands above and below price using any combination of the following sequence values:
These levels act as algorithmic rails that price frequently reacts to, respects, or expands toward — providing traders with a structural framework to interpret displacement, liquidity objectives, and sequence-based expansions.
🔷 Core Features
✔ Manual Origin (EQ Level)
Set any midpoint — daily open, session equilibrium, dealing range midpoint, your own anchor, etc.
✔ Manual U Value (Unit Size)
No restrictions. Enter any point value (ex: 0.25, 1, 5, 12.5, 25…) to scale the sequence to your instrument.
✔ Full Sequence Control
Toggle ON/OFF each individual harmonic sequence:
Micro ranges → 1, 3, 5
Intermediate → 8, 13, 21
Macro ranges → 34, 55, 89, 144
✔ Individual Line Colors
Every sequence level has its own color input for full customization.
✔ Static Lines (Do Not Move With Cursor)
Lines anchor from the first bar and extend infinitely to the right.
✔ Automatic Labels on Right Side
These levels often align with:
Liquidity pools
Displacement endpoints
PD array boundaries
Algorithmic expansion levels
Reversal zones
Session highs/lows
Volatility-based fractals
Price frequently travels sequence-to-sequence, creating a predictable harmonic structure.
Triple Moving Average's EMA/SMAThis Pine Script in its final v5 version is a fundamental visual tool that supports traders in quickly identifying the trend and sentiment.
Key Script Goal
This script's primary objective is flexible multi-timeframe analysis of the trend.
The script serves as a universal set of three independent moving averages, which is intended to help you with the visual assessment of the market context:
EMA (20 periods): Serves as dynamic support/resistance for short-term sentiment. It is highly sensitive to recent price action.
SMA1 (50 periods): Typically acts as a medium-term trend indicator. It is often used to identify corrections.
SMA2 (100 periods): Provides a long-term perspective. Its slope and position relative to the price indicate the dominant structural trend.
The script is a base for every trader who relies on technical analysis and Price Action, utilizing moving averages as dynamic S/R levels.
Multi Time Frame Trend BiasSee the lower time frame and higher time frame trend at a glance. Choose 8 lower time frames, and 8 higher time frames. You can also choose your ema / sma relationship but I recommend using 13ema / 30 sma relationship. You can change the size of the table. You can also hide the rows and only view the overall trend if you want. Very useful as a confluence with your strategy / entry model. Trade in the same direction of the trend. Don't fight the trend.
Institutional Equity DashboardAn overlay indicator with everything you need:
Trend Ribbon - 8/21/50/200 EMA cloud with bullish/bearish fill
VWAP + Bands - The institutional benchmark with deviation bands
Auto S/R Detection - Pivot-based support/resistance levels
ATR-Based Stops - Dynamic stop-loss levels that adjust to volatility
Confluence Signals - Multi-factor buy/sell signals (regular + strong)
Real-Time Dashboard showing:
Market regime (Strong Uptrend → Strong Downtrend)
Trend score (0-100)
RSI, MACD, Stochastic status
Volume ratio and VWAP position
Risk metrics (ATR%, Historical Vol, Risk Level)
Relative strength vs. benchmark
Volume Heikin Ashi by CrugThis indicator combines the Heikin Ashi with classic volume candles.
It is useful to see the trend and "how much" volume it contains
1 - Select Volume Candles on the graph
i.postimg.cc
2- In setting remove the all the colors
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3- Insert the indicator
4- Using with momentum indicators (like Market liberator B, MACD, ...) it provides more precise and realistic data to plot divergences because it combines: classic japanese candle but with volumes. In the meantime it is easier to see the main trend
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DR.SS:VCP┌─ MARKET STATUS ──────────────┐
│ Price: 150.50 ↑ VCP │
│ Trend: UPTREND │
├─ VOLUME STATUS ──────────────┤
│ Ratio: 1.2x NORM │
│ VCP: ACTIVE Avg: 45.2K │
├─ KEY PATTERNS ───────────────┤
│ SPR SOS │
│ L20: 3 patterns │
├─ SIGNAL STRENGTH ────────────┤
│ ✅ STRONG BUY SIGNAL │
│ Trend + VCP confirmed │
├─ RISK MANAGEMENT ───────────┤
│ Entry: 150.50 │
│ SL: -2.0% TP: +4.0% │
│ R/R: 1:2.0 │
├─ QUICK STATS ────────────────┤
│ MAs: ↑↑↑↑ VCP%: 60.0% │
│ Vol: 52.4K Bars: 12/20 │
└───────────────────────────────┘
1. For DAY TRADING
// Display Settings:
- Show VCP Zones: ON ✓
- Show S/R Levels: OFF ✗ (too many lines)
- Show Risk Levels: ON ✓ (only for entries)
// Pattern Display:
- Show Patterns: ON ✓
- Spring: ON ✓
- Upthrust: ON ✓
- SOS: ON ✓
- SOW: ON ✓
// Signal Display:
- Show Signals: ON ✓
- Basic Signals: OFF ✗ (too cluttered)
- Enhanced Signals: ON ✓
- Strong Signals: ON ✓
- Super Signals: ON ✓
// Action Display:
- Show Action Labels: OFF ✗ (chart gets busy)
// Dashboard:
- Show Dashboard: ON ✓
- Position: Top Right ✓
- Size: Medium ✓
2. For SWING TRADING
// Display Settings:
- Show VCP Zones: ON ✓
- Show S/R Levels: ON ✓ (useful for swing levels)
- Show Risk Levels: ON ✓
// Pattern Display:
- Show Patterns: ON ✓
- Spring: ON ✓
- Upthrust: ON ✓
- SOS: ON ✓
- SOW: ON ✓
// Signal Display:
- Show Signals: ON ✓
- Basic Signals: OFF ✗
- Enhanced Signals: ON ✓
- Strong Signals: ON ✓
- Super Signals: ON ✓
// Action Display:
- Show Action Labels: ON ✓ (helpful for swing entries)
// Dashboard:
- Show Dashboard: ON ✓
- Position: Bottom Left ✓ (doesn't block price action)
- Size: Medium ✓
For SCANNING
// Display Settings:
- Show VCP Zones: ON ✓
- Show S/R Levels: OFF ✗
- Show Risk Levels: OFF ✗
// Pattern Display:
- Show Patterns: OFF ✗ (only want dashboard)
- All patterns: OFF ✗
// Signal Display:
- Show Signals: OFF ✗
- All signals: OFF ✗
// Action Display:
- Show Action Labels: OFF ✗
// Dashboard:
- Show Dashboard: ON ✓
- Position: Top Right ✓
- Size: Small ✓
Recommended Pattern Settings:
Volume Settings:
- Volume Lookback: 20 (standard)
- Volume Surge Multiplier: 2.0 (good balance)
- Volume Contraction Multiplier: 0.7 (strict VCP)
-
Pattern Settings:
- Pattern Lookback Bars: 10 (short-term patterns)
- Require Volume Confirmation: ON ✓ (more reliable)
Dashboard Usage Tips:
For Quick Analysis:
Look at the top 3 sections first:
Market Status → Is price in VCP zone? What's the trend?
Volume Status → Is volume contracting? Ratio?
Key Patterns → Any patterns forming now?
Signal Strength Section tells you:
🎯 = Super strong (trade this!)
✅ = Strong (good trade)
💎 = Enhanced (watch for entry)
🟡 = Setup (wait for confirmation)
To Reduce Clutter During Analysis:
Use timeframe switching:
Higher TF (1H/4H) for trend
Lower TF (5M/15M) for entry
Toggle signals accordingly
Best Practices:
Trading Rules:
Only trade Super (🎯) or Strong (✅) signals
Wait for VCP zone + pattern confirmation
Enter on volume surge after contraction
Use R/R ratio from dashboard (aim for 1:2 or better)
Dashboard Priority Order:
Signal Strength (What's the action?)
Market Status (What's the context?)
Risk Management (What's the plan?)
Volume Status (Is there confirmation?)
Key Patterns (What triggered it?)
Quick Stats (Extra confirmation)
Final Recommendations:
Start with the "Swing Trading" settings - they're the most balanced
Customize based on your trading style
Save multiple versions for different markets
Use the dashboard as your primary decision tool
Turn off everything except dashboard when scanning
Enable full display only when analyzing specific setups
🎯 PRIORITY 1: SUPER SIGNALS (Highest Quality)
Look for: Super Buy (🎯) or Super Sell (🎯)
Why they're best:
✅ ALL trends aligned (short, medium, long term)
✅ VCP zone active (volume contraction)
✅ Pattern detected (Spring/SOS or Upthrust/SOW)
✅ Primary trend confirmed (uptrend/downtrend)
✅ Maximum probability setup
Appearance: Green/Red X shape below/above bar
Dashboard shows: "🎯 SUPER BUY/SELL SIGNAL"
✅ PRIORITY 2: STRONG SIGNALS (Excellent Quality)
Look for: Strong Buy (✅) or Strong Sell (✅)
Why they're good:
✅ Primary trend aligned (uptrend/downtrend)
✅ VCP zone active (volume contraction)
✅ Pattern detected (Spring/SOS or Upthrust/SOW)
✅ High probability setup
Appearance: Green/Red Square shape below/above bar
Dashboard shows: "✅ STRONG BUY/SELL SIGNAL"
💎 PRIORITY 3: ENHANCED SIGNALS (Good Quality)
Look for: Enhanced Buy (💎) or Enhanced Sell (💎)
Why they're acceptable:
✅ VCP zone active (volume contraction)
✅ Pattern detected (Spring/SOS or Upthrust/SOW)
⚠️ Trend may not be aligned (can trade both directions)
Appearance: Green/Red Diamond shape below/above bar
Dashboard shows: "💎 ENHANCED BUY/SELL SIGNAL"
🚫 SIGNALS TO IGNORE (Lower Quality):
Basic Signals (arrows) - No VCP confirmation
Patterns alone (circles/triangles) - No volume confirmation
VCP zone alone - No pattern yet
BEST TRADING FILTER SETTINGS:
// RECOMMENDED SETTINGS FOR BEST SIGNALS ONLY:
showPatterns = true // Keep patterns visible
showSpring = true // Spring patterns
showUpthrust = true // Upthrust patterns
showSOS = true // SOS patterns
showSOW = true // SOW patterns
showSignals = true // Show all signals
showBasicSignals = false // ❌ DISABLE - Too noisy
showEnhancedSignals = true // ✅ ENABLE - Good quality
showStrongSignals = true // ✅ ENABLE - Excellent quality
showSuperSignals = true // ✅ ENABLE - Best quality
showActionLabels = true // Show entry/SL/TP for good signals
MONITORING WORKFLOW:
Step 1: Dashboard Scan
Check on chart:
1. Is there a VCP zone (blue background)?
2. Do you see the signal shape (X, Square, Diamond)?
3. Is price near support/resistance?
4. Is volume surging after contraction?
Step 2: Chart Confirmation
Check on chart:
1. Is there a VCP zone (blue background)?
2. Do you see the signal shape (X, Square, Diamond)?
3. Is price near support/resistance?
4. Is volume surging after contraction?
Step 3: Risk Management
From dashboard:
1. Entry price shown
2. Stop Loss % shown (-2% for buys, +2% for sells)
3. Take Profit % shown (+4% for buys, -4% for sells)
4. R/R Ratio (aim for 1:2 or better)
SIGNAL QUALITY HIERARCHY:
TIER 1: SUPER SIGNALS (🎯)
Probability: 80-90%
Frequency: Rare (best setups)
Action: Trade aggressively
TIER 2: STRONG SIGNALS (✅)
Probability: 70-80%
Frequency: Moderate
Action: Trade confidently
TIER 3: ENHANCED SIGNALS (💎)
Probability: 60-70%
Frequency: Common
Action: Trade selectively
RECOMMENDED TRADING RULES:
For SUPER SIGNALS (🎯):
Entry: Immediate at signal close
Position Size: Full position
Hold Time: Until target or reversal signal
Add On: Consider adding on pullbacks
For STRONG SIGNALS (✅):
Entry: Next candle open
Position Size: 75% position
Hold Time: Until target
Add On: Wait for confirmation
For ENHANCED SIGNALS (💎):
Entry: Wait for small pullback
Position Size: 50% position
Hold Time: Quick profit (scalp)
Add On: Don't add
ALERTS TO SET UP:
// Set these alert conditions:
1. "VCP Super Buy" - For 🎯 SUPER BUY
2. "VCP Super Sell" - For 🎯 SUPER SELL
3. "VCP Strong Buy" - For ✅ STRONG BUY
4. "VCP Strong Sell" - For ✅ STRONG SELL
VISUAL CUE SUMMARY:
🎯 = SUPER (X shape) → BEST → TRADE NOW
✅ = STRONG (Square shape) → EXCELLENT → TRADE
💎 = ENHANCED (Diamond shape) → GOOD → CONSIDER
🟡 = BASIC (Arrow/Circle/Triangle) → AVOID
FINAL ADVICE:
Focus primarily on SUPER (🎯) signals - they're your money makers
Trade STRONG (✅) signals when SUPER signals are rare
Use ENHANCED (💎) signals for additional opportunities
Ignore everything else - reduces noise and bad trades
OPTIMAL SETTINGS FOR EACH TRADING STYLE
VOLUME SETTINGS:
• Volume Lookback: 15-20 bars
• Volume Surge Multiplier: 2.0-2.5x
• Volume Contraction Multiplier: 0.7-0.8x
PATTERN SETTINGS:
• Pattern Lookback Bars: 8-12 bars
• Require Volume: YES
2. 📊 BY TRADING STYLE
A. DAY TRADING (Intraday - 5M to 15M charts)
VOLUME SETTINGS:
• Volume Lookback: 10-15 bars ✓
• Volume Surge Multiplier: 2.5-3.0x ✓ (more sensitive)
• Volume Contraction Multiplier: 0.6-0.7x ✓ (tighter)
PATTERN SETTINGS:
• Pattern Lookback Bars: 5-8 bars ✓
• Require Volume: YES ✓
REASONING:
- Shorter lookbacks for faster signals
- Higher surge multiplier for clear breakouts
- Tighter contraction for cleaner VCPs
- Works well with institutional volume flows
B. SCALPING (1M to 5M charts)
VOLUME SETTINGS:
• Volume Lookback: 5-10 bars ✓
• Volume Surge Multiplier: 3.0-3.5x ✓ (very sensitive)
• Volume Contraction Multiplier: 0.5-0.6x ✓ (very tight)
PATTERN SETTINGS:
• Pattern Lookback Bars: 3-5 bars ✓
• Require Volume: YES ✓
REASONING:
- Very short timeframes need sensitivity
- Need to catch quick volume spikes
- Tight VCP for quick breakouts
- More false signals but faster entries
C. SWING TRADING (1H to 4H charts)
VOLUME SETTINGS:
• Volume Lookback: 20-30 bars ✓
• Volume Surge Multiplier: 1.8-2.2x ✓ (less sensitive)
• Volume Contraction Multiplier: 0.7-0.8x ✓
PATTERN SETTINGS:
• Pattern Lookback Bars: 15-20 bars ✓
• Require Volume: YES ✓
REASONING:
- Longer lookbacks for stability
- Lower surge multiplier to avoid noise
- More reliable VCP formations
- Fewer but higher quality signals
D. POSITION TRADING (Daily to Weekly charts)
VOLUME SETTINGS:
• Volume Lookback: 20-50 bars ✓
• Volume Surge Multiplier: 1.5-2.0x ✓ (conservative)
• Volume Contraction Multiplier: 0.8-0.9x ✓ (looser)
PATTERN SETTINGS:
• Pattern Lookback Bars: 20-30 bars ✓
• Require Volume: YES ✓
REASONING:
- Long-term perspective
- Conservative volume thresholds
- Focus on major volume events
- Highest quality, lowest frequency
3. 🔍 BY MARKET CONDITION
A. HIGH VOLATILITY MARKETS (News, Earnings)
VOLUME SETTINGS:
• Volume Lookback: 10 bars
• Volume Surge Multiplier: 3.0x
• Volume Contraction: 0.6x
PATTERN SETTINGS:
• Pattern Lookback: 5 bars
• Require Volume: YES
B. LOW VOLATILITY MARKETS (Ranging)
VOLUME SETTINGS:
• Volume Lookback: 25 bars
• Volume Surge Multiplier: 1.8x
• Volume Contraction: 0.8x
PATTERN SETTINGS:
• Pattern Lookback: 15 bars
• Require Volume: YES
C. TRENDING MARKETS
VOLUME SETTINGS:
• Volume Lookback: 15 bars
• Volume Surge Multiplier: 2.2x
• Volume Contraction: 0.7x
PATTERN SETTINGS:
• Pattern Lookback: 10 bars
• Require Volume: YES
MY PERSONAL RECOMMENDATIONS
For MAXIMUM QUALITY
// GOLD STANDARD SETTINGS
Volume Lookback: 20 bars
Volume Surge Multiplier: 2.0x
Volume Contraction Multiplier: 0.7x
Pattern Lookback Bars: 10 bars
Require Volume: YES
RESULT:
- Few false signals
- High win rate (65-75%)
- Perfect for Super/Strong signals
For ACTIVE TRADING
// ACTIVE TRADER SETTINGS
Volume Lookback: 15 bars
Volume Surge Multiplier: 2.5x
Volume Contraction Multiplier: 0.65x
Pattern Lookback Bars: 8 bars
Require Volume: YES
RESULT:
- More trading opportunities
- Good risk/reward
- Works for day/swing trading
5. 📈 SPECIFIC SETUP COMBINATIONS
For SPRING/SOS Patterns (Buy setups)
Volume Lookback: 15 bars
Volume Surge Multiplier: 2.2x ✓ (need good volume)
Volume Contraction: 0.7x
Pattern Lookback: 10 bars
For UPTHRUST/SOW Patterns (Sell setups)
Volume Lookback: 15 bars
Volume Surge Multiplier: 2.5x ✓ (panic selling needs higher volume)
Volume Contraction: 0.65x
Pattern Lookback: 8 bars ✓ (faster for sell signals)
6. ⚙️ ADJUSTMENT RULES
If getting TOO MANY signals:
Increase Volume Lookback (15→20)
Increase Volume Surge Multiplier (2.0→2.5)
Increase Pattern Lookback (8→12)
Make VCP tighter (0.8→0.7)
If getting TOO FEW signals:
Decrease Volume Lookback (20→15)
Decrease Volume Surge Multiplier (2.5→2.0)
Decrease Pattern Lookback (12→8)
Loosen VCP (0.7→0.8)
7. 🏁 FINAL RECOMMENDATIONS
For BEGINNERS:
Volume Lookback: 20 bars
Volume Surge: 2.0x
Volume Contraction: 0.7x
Pattern Lookback: 10 bars
Require Volume: YES
WHY: Conservative, high-quality signals
For INTERMEDIATE:
Volume Lookback: 15 bars
Volume Surge: 2.2x
Volume Contraction: 0.7x
Pattern Lookback: 8 bars
Require Volume: YES
WHY: Balance of quality and frequency
For ADVANCED:
// Create 3 profiles:
1. SCALPING: 5 bars, 3.0x, 0.6x, 3 bars
2. DAY: 10 bars, 2.5x, 0.7x, 8 bars
3. SWING: 20 bars, 2.0x, 0.8x, 15 bars
WHY: Adapt to different timeframes
8. 📊 BACKTEST RECOMMENDATIONS
Test these combinations:
Test 1 (Conservative):
Volume: 20, 2.0, 0.7
Pattern: 12 bars
Test 2 (Moderate):
Volume: 15, 2.2, 0.7
Pattern: 10 bars
Test 3 (Aggressive):
Volume: 10, 2.5, 0.65
Pattern: 8 bars
🎯 ULTIMATE RECOMMENDATION:
For most traders
// THE SWEET SPOT SETTINGS
Volume Lookback: 15 bars
Volume Surge Multiplier: 2.2x
Volume Contraction Multiplier: 0.7x
Pattern Lookback Bars: 10 bars
Require Volume Confirmation: YES
Happy trading! Remember: Quality over quantity. Wait for the 🎯 signals! 📈✨
Institutional MF-Vol Compression Scanner v4.0 [BIG]═══════════════════════════════════════════════════════════════════════════════
BIG COMPRESSION SCANNER v4.0
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OVERVIEW
The BIG Compression Scanner v4.0 is a proprietary volatility regime detection system designed for systematic Daily options deployment. This framework identifies pre-expansion volatility compression zones through multi-dimensional market structure analysis, combining institutional positioning patterns with hierarchical timeframe confirmation and options market structure to generate high-conviction directional signals for premium strategies.
The methodology synthesizes volatility dynamics, liquidity flow patterns, and cross-timeframe regime alignment into a probabilistic scoring system that isolates asymmetric risk-reward setups characteristic of compression-to-expansion transitions. The framework is calibrated specifically for 30-45 DTE options strategies where timing precision and volatility environment assessment are critical to edge generation.
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CORE METHODOLOGY
═══════════════════════════════════════════════════════════════════════════════
• Proprietary Compression Detection
The system employs a multi-factor compression identification framework that monitors volatility regime transitions across price dispersion metrics and range contraction patterns. Unlike single-indicator squeeze systems, this methodology uses weighted ensemble logic to distinguish true pre-expansion compression from random consolidation noise.
Compression strength is quantified through a proprietary scoring algorithm (0-100%) that evaluates:
- Statistical volatility contraction relative to historical norms
- Price range compression within dynamic envelope systems
- Institutional volume signature analysis during low-volatility periods
- Cross-timeframe compression alignment (Daily/Weekly/Monthly hierarchy)
The framework filters compression events based on minimum strength thresholds and multi-bar confirmation to eliminate premature signals characteristic of retail squeeze indicators.
• Hierarchical Multi-Timeframe Architecture
The indicator integrates a three-tier temporal analysis structure where higher timeframes constrain and validate lower timeframe signals:
Strategic Layer (Monthly) – Establishes macro directional bias and identifies structural market positioning. This layer determines whether intermediate trends align with or counter dominant regime dynamics.
Structural Layer (Weekly) – Provides tactical context through key price levels, momentum assessment, and volatility regime confirmation. Weekly analysis filters signals that would occur in unfavorable proximity to structural inflection zones.
Execution Layer (Daily) – Generates precise entry timing through intraday regime shift detection, momentum confluence analysis, and institutional flow pattern recognition.
Each layer contributes weighted influence to the composite directional probability model, with recalibration logic that adjusts timeframe importance based on current market regime characteristics. The exact weighting algorithm is proprietary and adapts to volatility environment dynamics.
• Options Market Structure Integration
Version 4.0 incorporates options-specific market intelligence not available in standard technical analysis frameworks:
Volatility Environment Assessment – The system continuously monitors implied volatility regime characteristics through proprietary estimation models. These models identify whether current premium levels favor buying or selling strategies, adjusting signal generation accordingly.
Temporal Decay Awareness – Built-in expiration cycle logic ensures signals only trigger when sufficient time value remains for thesis development. The framework approximates days-to-expiration and applies minimum threshold filters to prevent entries in high theta decay regimes.
Greeks-Aware Targeting – Price targets are dynamically calibrated based on volatility expansion expectations and estimated leverage characteristics. Target multipliers adjust to current options market structure rather than using fixed risk-reward ratios.
Premium Environment Classification – Signals are enhanced with real-time assessment of whether current volatility levels favor long premium, short premium, or spread strategies based on historical percentile analysis.
• Probabilistic Directional Scoring System
Rather than binary bullish/bearish classification, the framework generates probability-weighted directional bias through a proprietary multi-factor model. This model synthesizes trend alignment metrics, momentum characteristics, structural positioning, and institutional flow signatures into normalized probability distributions.
The scoring system evaluates dozens of market structure variables across multiple timeframes, applies regime-dependent weighting, and produces directional probabilities that reflect actual edge rather than arbitrary technical indicator thresholds. Signal generation occurs only when directional probability exceeds user-defined conviction thresholds (55-65% depending on sensitivity setting).
This probabilistic approach allows traders to calibrate position sizing and strategy selection (outright vs. spreads) to the strength of directional conviction rather than treating all signals as equal weight.
• Institutional Flow Detection
The framework monitors volume and price interaction patterns characteristic of institutional accumulation or distribution during compression phases. This analysis identifies whether compression zones contain building directional positions (high probability of sustained move post-breakout) versus thin, choppy consolidation (high false breakout risk).
Flow detection employs proprietary algorithms that distinguish genuine institutional activity from retail volume spikes, providing critical context for signal validation.
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SIGNAL ARCHITECTURE
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Call Option Signals trigger when compression strength, directional probability, timeframe alignment, options market structure, and institutional flow patterns simultaneously satisfy proprietary threshold criteria. Signals are filtered against weekly structural levels to avoid low-probability entries near major resistance zones.
Put Option Signals follow equivalent logic with inverse directional parameters, ensuring symmetrical framework application across bull and bear setups.
All signals include:
- Directional conviction probability (percentage)
- Current volatility environment assessment (IV Rank proxy)
- Dynamic price target based on expansion expectations
- Multi-timeframe alignment status
Signal cooldown logic prevents excessive signal generation during extended consolidation periods, maintaining signal quality over quantity.
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VISUAL INTELLIGENCE
═══════════════════════════════════════════════════════════════════════════════
Real-Time Multi-Timeframe Dashboard
The top-right panel provides continuous visibility into:
- Trend alignment across Daily/Weekly/Monthly timeframes
- Current compression status at each temporal layer
- Momentum regime characteristics (RSI values)
- Options environment assessment (IV Rank, optimal strategy)
- Composite signal readiness (compression strength percentage)
This dashboard enables rapid regime assessment without manual multi-timeframe chart analysis.
Chart Integration
Visual overlays include:
- Volatility envelope systems (dynamic bands)
- Weekly structural price levels (pivot, resistance, support)
- Compression zone highlighting (background shading)
- Active squeeze indicators (Daily and Weekly differentiation)
Signal Labels
When setups trigger, comprehensive labels display:
📈 CALL OPTION
Prob: XX%
IV Rank: XX%
Target: $XXX.XX
Labels provide all critical execution information without requiring dashboard consultation.
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KEY CAPABILITIES
═══════════════════════════════════════════════════════════════════════════════
- Proprietary multi-factor compression detection with adaptive thresholds
- Hierarchical multi-timeframe confirmation (Daily/Weekly/Monthly)
- Options-specific filters (IV regime, DTE requirements, Greeks awareness)
- Probabilistic directional scoring (0-100% conviction levels)
- Institutional flow pattern recognition during compression
- Weekly structural level integration with proximity filters
- Dynamic target calibration based on volatility expansion expectations
- Real-time multi-timeframe regime dashboard
- Customizable sensitivity and threshold parameters
- Non-repainting signal architecture (bar close confirmation)
- Comprehensive alert system for proactive monitoring
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APPLICATION GUIDELINES
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1. Timeframe Selection
Apply to Daily (D1) charts only. Framework calibration is timeframe-specific; other intervals produce suboptimal results.
2. Options Mode Activation
Enable Options Trading Mode for premium strategy optimization. This activates IV filtering, DTE thresholds, and Greeks-aware targeting.
3. Strategy Calibration
- Premium Buying: Set IV threshold to 50th percentile, DTE minimum 30+ days, target multiplier 2.5-3.0×
- Premium Selling: Set IV threshold to 70th+ percentile, DTE minimum 20-30 days, target multiplier 1.5-2.0×
4. MTF Dashboard Monitoring
Verify multi-timeframe alignment before execution:
- Ideal setup: Daily + Weekly compression both active
- Confirm trend alignment across timeframes
- Check IV Rank for premium environment assessment
- Wait for "READY" status (green) indicating threshold satisfaction
5. Signal Execution
When labels appear:
- Review directional probability (target >65% for high conviction)
- Assess IV environment (low IV favors buying, high IV favors selling)
- Use price target for strike selection and profit objectives
- Consider 30-45 DTE options for thesis development time
6. Risk Management
- Position size: 2-5% options capital per signal
- Stop loss: Exit if compression breaks opposite direction without follow-through
- Time stop: Reassess if position stagnant after 5-7 days
- Profit taking: Scale out at provided targets or weekly pivot levels
7. Sensitivity Adjustment
- High (55%): More signals, lower conviction, diversified approach
- Medium (60%): Balanced, default setting (2-4 signals/month typical)
- Low (65%): Fewer signals, higher conviction, concentrated positions
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FRAMEWORK LIMITATIONS
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- Optimized exclusively for Daily timeframe analysis
- Compression development requires patience (2-4 weeks typical)
- IV metrics are proprietary proxies, not direct exchange data
- Greeks estimations approximate actual options contract characteristics
- DTE calculations simplified vs. precise monthly expiration dates
- Multi-timeframe filtering reduces but cannot eliminate false breakouts
- Requires liquid options markets (tight spreads, adequate open interest)
- Not designed for earnings-driven volatility events (IV crush risk)
- Framework identifies timing, not specific strike or expiration selection
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TECHNICAL SPECIFICATIONS
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- Pine Script v5 architecture
- Non-repainting signal confirmation (bar close validation)
- Multi-security data integration (Weekly/Monthly via request.security)
- Real-time multi-timeframe analysis dashboard
- 4 alert conditions (Call/Put options, directional generic)
- Fully customizable parameters (compression, scoring, filters, visuals)
- Professional-grade visual hierarchy and information density
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PROFESSIONAL CONTEXT
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This framework is designed for systematic options traders with working knowledge of:
- Volatility regime dynamics and expansion/contraction cycles
- Options Greeks and their impact on P&L across various market conditions
- Implied Volatility Rank interpretation and premium pricing assessment
- Multi-timeframe analysis methodology and trend hierarchy
- Risk-adjusted position sizing and portfolio construction principles
The system identifies when market structure favors options deployment but does not prescribe how to construct positions. Strike selection, expiration choice, spread architecture, and position sizing require independent trader judgment based on account parameters and risk tolerance.
Optimal deployment combines this framework with:
- Options analytics platform (actual IV, Greeks, probability calculations)
- Earnings calendar awareness (pre-earnings IV inflation vs. post-earnings crush)
- Broader market regime context (VIX, correlation, sector rotation)
- Portfolio-level risk management (concentration limits, correlation analysis)
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Proprietary compression-to-expansion framework for systematic Daily options deployment. Methodology incorporates multi-dimensional volatility analysis, hierarchical timeframe confirmation, and options market structure intelligence.
