MA RespectRatio RespectRatio
A Structural Moving Average Quality Indicator
What is RespectRatio
RespectRatio is a statistical indicator designed to evaluate *how reliably a stock respects a specific moving average over time.
Instead of asking โDid price touch the MA?โ, it answers a more meaningful question:
โ Does this moving average actually function as support for this stock consistently and structurally?
The indicator focuses on *historical behavior, not short-term signals, and is intended to support buy / hold / reduce decisions rather than precise trade timing.
Why RespectRatio Exists
Many stocks frequently touch moving averages, but only some of them:
โ Rebound cleanly
โ โ Hold above the average
โ Do so repeatedly over long periods
RespectRatio was built to separate real support from visual noise.
Core Concept
RespectRatio treats every interaction between price and the moving average as a measurable event.
Each event ends in one of two outcomes:
โขโ โ Bounce โ price respects the moving average
โขโ Break โ price fails and breaks below it
Over time, these outcomes form a probability profile of how the stock behaves around that average.
How an Event Starts
An event begins when price meaningfully interacts with the moving average, either by:
โขโ โ Entering a volatility-adjusted proximity zone around the MA, or
โขโ โ Crossing below the MA (including gap-downs)
The proximity zone is adaptive and defined as:
k = ATR% ร kMultiplier
This keeps the definition of โclose enoughโ consistent across assets and volatility regimes.
Event Outcomes
Bounce (Respect)
An event is classified as a Bounce when price:
โขโ โ Moves back above the moving average
โขโ โ Clears a minimal buffer above it
โขโ โ *Maintains that position for a defined number of sessions.
This confirms that the moving average acted as real support not a temporary pause.
Break (Failure)
An event becomes a Break when price:
โขโ โ Remains below the moving average for too long, or
โขโ โ Falls significantly below it and fails to reclaim it within a short window
A Break signals structural weakness at that average.
Noise Control
To avoid statistical distortion:
โขโ โ Only one outcome per event is recorded
โขโ โ A cooldown period prevents immediate re-counting of the same struggle
โขโ โ Each event is counted once, regardless of intraday noise
This ensures clean, independent data points.
The Final Metric
The indicator produces a single core metric:
RespectRatio = Bounces / (Bounces + Breaks)
Calculated over a rolling historical window.
How to Interpret RespectRatio
โขโ โ High RespectRatio
The moving average has historically acted as reliable support
โ suitable for accumulation or holding strategies
โขโ Low RespectRatio
The moving average is frequently violated
โ caution when relying on it as support
RespectRatio does not predict future price, but measures structural trustworthiness.
What RespectRatio Is Not
โขโ โ Not a buy/sell signal generator
โขโ โ Not a trend-following indicator
โขโ โ Not a momentum oscillator
It is a contextual filter* that improves decision quality.
Typical Use Cases
โขโ โ Evaluating whether a stock deserves to be bought near a long-term MA
โขโ โ Comparing multiple stocks using the same moving average
โขโ โ Filtering candidates before applying other strategies
โขโ โ Long-term portfolio decision support
One-Sentence Summary
RespectRatio quantifies how often the market actually respects a moving average โ turning a visual assumption into measurable probability.*
Cari dalam skrip untuk "accumulation"
RVOL Highlighter (Bullish Volume Spikes)Description:
A simple yet powerful indicator that highlights candles with unusually high buying volume.
What it does:
Identifies candles where relative volume (RVOL) exceeds your chosen threshold AND the candle is bullish (green). These high-volume bullish candles often signal strong institutional buying interest or momentum breakouts.
How it works:
Calculates RVOL by comparing current volume to the simple moving average of volume over your selected period
Only highlights candles that meet BOTH conditions: RVOL above threshold + bullish close
Highlighted candles appear in bright magenta for easy visibility on dark mode charts
Settings:
RVOL Period: Lookback period for average volume calculation (default: 10)
RVOL Threshold: Minimum relative volume multiplier to trigger highlight (default: 2.5x)
Highlight Color: Customizable (default: magenta #FF00FF)
Use cases:
Spot potential breakout entries with volume confirmation
Identify accumulation zones
Filter for high-conviction bullish moves
Works on any timeframe and any asset. The actual RVOL value is available in the data window when hovering over candles.
USDT: Market cap changeUSDT: Market Cap Change
This indicator tracks the market capitalization changes of major stablecoins (USDT, USDC, and DAI) to help identify capital flows in the cryptocurrency market.
Features:
Monitor daily and custom period market cap changes for selected stablecoins
Configurable stablecoin selection (USDT, USDC, DAI)
Adjustable lookback period for measuring market cap changes
Multiple moving average types (SMA, EMA, HMA, WMA, RMA) for trend analysis
Visual representation with columns for daily changes and area fill for custom period changes
How to Use:
The indicator displays two main metrics: daily market cap change (shown as columns) and custom period change (shown as a line with area fill). Positive values indicate capital inflow into stablecoins, which may suggest accumulation or risk-off sentiment. Negative values indicate capital outflow, potentially signaling deployment into other crypto assets.
The moving average overlay helps identify trends in stablecoin market cap changes over time.
Settings:
Select which stablecoins to track
Adjust the lookback period (default: 60 days)
Toggle and configure the moving average overlay
Customize MA type and length
Data Source:
Uses Glassnode market capitalization data for USDT, USDC, and DAI on a daily timeframe.
Tradix COR Report Index๐ Tradix COT Report Index
The Tradix COT Report Index is an advanced market sentiment and positioning tool built on official Commitment of Traders (COT) Report data, designed to reveal how major market participants are truly positioned, beyond what price alone can show.
Instead of focusing on short-term price movements, the COT Report Index analyzes real futures positioning reported to the CFTC and categorizes it into three key groups:
Commercials โ hedgers and so-called smart money
Non-Commercials โ institutions, funds, and large speculators
Retail / Non-Reportables โ small traders and crowd positioning
Raw positioning data (Long โ Short) is transformed into a normalized 0โ100 index, allowing traders to instantly identify extreme market sentiment, structural imbalances, and potential turning points โ without manually interpreting complex COT tables.
๐ง How the Tradix COT Index Works
The index evaluates current net positions within a historical range (typically the last 52 weeks). This contextual approach makes it easy to see:
when Commercials are at extreme long or short levels
when speculative positioning becomes overcrowded
when the market reaches structural imbalance, increasing the probability of a mean-reversion or trend shift
By standardizing positioning data, the Tradix COT Index allows cross-market comparison, making it equally useful for indices, commodities, currencies, and futures-based CFDs.
๐ฏ How Traders Use It
The Tradix COT Report Index is not an entry signal tool.
Instead, it acts as a high-timeframe confirmation and market context indicator, commonly used for:
identifying long-term market bias
spotting divergences between price and positioning
confirming trend exhaustion or accumulation phases
filtering trades to align with institutional positioning
When combined with technical analysis, seasonality, and risk management, the COT Index provides a statistical edge rooted in real positioning data, not opinions or lagging indicators.
โ ๏ธ Important Notes
COT data is updated weekly, not in real time
Best used on higher timeframes (Daily, Weekly)
Designed to enhance decision-making, not to replace trading systems
5 Layer Script P5 ICT Identifier Package (Sessions + Narrative)This script is a session-based market narrative framework designed to help traders understand where price is likely seeking liquidity and alignment, rather than focusing on isolated entries.
This script mainly identifies and labels the Asia, London, and New York trading sessions, providing structure for how price behavior evolves throughout the day. It is intended to be used as a context and timing tool.
How it works
-Automatically maps Asia, London, and New York sessions
-Highlights session ranges and transitions
-Helps visualize accumulation, expansion, and distribution phases
-No repainting once a session is completed
How to use it
-Use Asia to observe range formation and liquidity build-up
-Use London for expansion, manipulation, or early continuation
-Use New York for confirmation, continuation, or reversal (IMPORTANT)
-Align session behavior with:
Higher-timeframe bias
Midpoint equilibrium levels
Fair Value Gaps
Signal or Potential Reversal confirmations
Best practices
-Avoid treating sessions as directional signals
-Focus on session objectives, not candle patterns
-Most effective on futures, indices, and liquid FX pairs
-Works best when combined with higher-timeframe structure
This package is intentionally narrative-driven and non-mechanical, allowing traders to frame intraday price action within a repeatable session logic rather than reactive decision-making.
ADDITIONAL: If youve made it this far i will tell you a cheat code to this specific script. Once you alligned your standard time for the sessions you will notice that if you set the sessions to close properly i recommend asking Chatgpt or any other AI tool, you will notice that the sessions end a few hours earlier for NY. You should see a label pop up for the NY just like the Asia and London session. That signal will tell you the next potential move only if you utilize the ICT killzones cheatsheet, easy to find on google images and I will attach it here if possible. its definetly mixed up but thats just market structure, only one you should pay attention to take a trade is the end of the NY session if adjusted properly. over 90% success rate following this strategy. I will add the link for the full cheat sheet below
www.scribd.com
Pulse Volume Commitment [JOAT]
Pulse Volume Commitment - Three-Dimensional Momentum Analysis
Introduction and Purpose
Pulse Volume Commitment is an open-source oscillator indicator that analyzes price action through three distinct dimensions: Quantity (candle count), Quality (body structure), and Commitment (volume-weighted quality). The core problem this indicator solves is that simple bullish/bearish candle counts miss important context. A market can have more green candles but still be weak if those candles have small bodies and low volume.
This indicator addresses that by requiring all three dimensions to align before generating strong signals, filtering out weak moves that lack conviction.
Why These Three Dimensions Work Together
Each dimension measures a different aspect of market conviction:
1. Quantity - Counts bullish vs bearish candles over the lookback period. Tells you WHO is winning the candle count battle.
2. Quality - Scores candles by body size relative to total range. Full-bodied candles (small wicks) indicate stronger conviction than doji-like candles. Tells you HOW decisively price is moving.
3. Commitment - Weights quality scores by volume. High-quality candles on high volume indicate institutional participation. Tells you WHETHER smart money is involved.
When all three align (e.g., more bullish candles + bullish quality + bullish commitment), the signal is significantly more reliable.
How the Calculations Work
Quantity Analysis:
int greenCount = 0
int redCount = 0
for i = 0 to lookbackPeriod - 1
if close > open
greenCount += 1
if close < open
redCount += 1
bool quantityBull = greenCount > redCount
Quality Analysis (body-to-range scoring):
for i = 0 to lookbackPeriod - 1
float candleBody = close - open // Signed (positive = bull)
float candleRange = high - low
float bodyQuality = candleRange > 0 ? (candleBody / candleRange * 100) * candleRange : 0.0
sumBodyQuality += bodyQuality
bool qualityBull = sumBodyQuality > 0
Signal Types
FULL BULL - All three dimensions bullish (Quantity + Quality + Commitment)
FULL BEAR - All three dimensions bearish
LEAN BULL/BEAR - 2 of 3 dimensions agree
MIXED - No clear consensus
STRONG BUY/SELL - Full confluence + ADX confirms trending market
ADX Integration
The indicator includes ADX (Average Directional Index) to filter signals:
- ADX >= 20 = TRENDING market (signals more reliable)
- ADX < 20 = RANGING market (signals may whipsaw)
Strong signals only trigger when full confluence occurs in a trending environment.
Dashboard Information
Quantity - BULL/BEAR/FLAT with green/red candle ratio
Quality - Directional bias based on body quality scoring
Commit - Volume-weighted commitment reading
ADX - Trend strength (TRENDING/RANGING)
Signal - Confluence status (FULL BULL/FULL BEAR/LEAN/MIXED)
Action - STRONG BUY/STRONG SELL/WAIT
How to Use This Indicator
For High-Conviction Entries:
1. Wait for FULL BULL or FULL BEAR confluence
2. Confirm ADX shows TRENDING
3. Enter when Action shows STRONG BUY or STRONG SELL
For Filtering Weak Setups:
1. Avoid entries when signal shows MIXED
2. Be cautious when ADX shows RANGING
3. Require at least 2 of 3 dimensions to agree
For Divergence Analysis:
1. Watch for Quantity bullish but Commitment bearish (distribution)
2. Watch for Quantity bearish but Commitment bullish (accumulation)
Input Parameters
Lookback Period (9) - Bars to analyze for all three dimensions
ADX Smoothing (14) - Period for ADX calculation
ADX DI Length (14) - Period for directional indicators
Timeframe Recommendations
15m-1H: Good for intraday momentum analysis
4H-Daily: Best for swing trading confluence
Lookback period may need adjustment for different timeframes
Limitations
Lookback period affects signal responsiveness vs reliability tradeoff
Volume data quality varies by exchange
ADX filter may cause missed entries in early trends
Works best on liquid instruments with consistent volume
Open-Source and Disclaimer
This script is published as open-source under the Mozilla Public License 2.0 for educational purposes.
This indicator does not constitute financial advice. Confluence signals do not guarantee profitable trades. Always use proper risk management.
- Made with passion by officialjackofalltrades
BTC - Cycle Integrity Index (CII) BTC - Cycle Integrity Index (CII) | RM
Are we following a calendar or a capital flow? Is the Halving still the heartbeat of Bitcoin, or has the institutional "Engine" taken over?
The most polarized debate in the digital asset space today centers on a single question: Is the 4-year Halving Cycle dead? While some market participants wait for a pre-ordained calendar countdown, the reality of 2026 suggests that visual guesswork is no longer sufficient. As institutional gravity takes hold, we cannot rely on the simple "Clock" of the past. Instead, we must audit the Integrity of the present.
The Cycle Integrity Index (CII) was engineered to move beyond simple price action and provide a clinical answer to the market's biggest mystery: "Is this trend supported by structural substance, or is it merely speculative foam?" By aggregating eight diverse Pillars into a single 0-100% score, this model uses Gaussian Distributions and Sigmoid Normalization to distinguish between professional accumulation and retail-driven chaos. We aren't guessing where we are in a cycle; we are measuring the internal health of the asset's engine in real-time.
Why these 8 Pillars?
The CII does not rely on a single indicator because the "New Era" of Bitcoin is multi-dimensional. To capture the full picture, I selected eight specific pillars that cover the three layers of market truth:
โข The Capital Layer: Global Liquidity (M2) and ETF Flows (Wall Street Absorption).
โข The Network Layer: Mining Difficulty and Security Backbone expansion.
โข The Sentiment Layer: Long-Term Holder conviction, Valuation Heat (MVRV), and Corporate Adoption (MSTR). While alternatives like the Pi Cycle or RSI exist, they are often "one-dimensional." The CII is a synthesisโa modular engine where every part validates the others.
How the Calculation Works
The CII is a sophisticated model for Bitcoin. It aggregates 8 diverse pillars into a single 0-100% score in the following way:
โข Mathematical Normalization: We don't just use raw prices. We use Gaussian Distributions to find "Institutional DNA" in drawdowns and Sigmoid (S-Curve) functions to score volatility and valuation.
โข Dynamic Weighting: The index is modular. If a data source (like a specific on-chain metric) is toggled off, the engine automatically redistributes the weight among the active sensors so the final integrity score is always balanced to 100%.
โข Multi-Source Integration: The script pulls from Global Liquidity (M2), ETF flows, Corporate Treasury premiums (MSTR), and Network Difficulty to create a truly "Full-Stack" view of the asset.
The 8 Pillars of Integrity
Pillar 1: Drawdown DNA The "Identity Crisis" Filter
โข Concept: Audits the depth of corrections to distinguish between "Institutional Floors" and "Retail Panics."
โข Logic: Historically, retail crashes reached -80%, while institutions view -20% to -25% as primary value entries.
โข Implementation: Uses a Gaussian (Normal) Distribution centered at -25%. Scores of 10/10 are awarded for holding institutional targets; scores decay as drawdowns accelerate toward legacy "crash" levels.
Basis: DNA Drawdown
Pillar 2: Volatility Regime The "Smoothness" Audit
โข Concept: Measures the "vibration" of the trend. High-integrity moves are characterized by "smooth" price action.
โข Logic: Erratic volatility signals speculative bubbles; consistent "volatility clusters" indicate professional trend-following.
โข Implementation: Calculates a Z-Score of the 14-day ATR against a 100-day benchmark. This is passed through a Sigmoid function to penalize "chaotic" price shocks while rewarding stability.
Basis: RVPM
Pillar 3: Liquidity Sync (Global M2) The Macro Heartbeat
โข Concept: Audits whether price growth is fueled by monetary expansion or internal speculative leverage.
โข Logic: True cycle integrity requires a positive correlation between Central Bank balance sheets and price action.
โข Implementation: Aggregates a custom Global Liquidity Proxy (Fed, RRP, TGA, PBoC, ECB, BoJ). It measures the Pearson Correlation between BTC and M2 with a standardized 80-day transmission lag.
Basis: Liquisync
Pillar 4: ETF Absorption (Wall Street Entry) The "Cost Basis" Defense
โข Concept: Tracks the aggregate institutional cost-basis since the January 2024 Spot ETF launch.
โข Logic: Integrity is high when the "Wall Street Floor" is defended; it fails when the aggregate position is underwater.
โข Implementation: A Cumulative VWAP engine tracking the "Big 3" (IBIT, FBTC, BITB). Scoring decays based on the percentage distance the price drifts below this institutional average entry.
Basis: Institutional Cost Corridor
Note: Turning this to OFF will significantly expand the timeframe of the indicator on the chart (otherwise it will just start in 2024)
Pillar 5: LTH Dormancy (Conviction) The HODL Floor Audit
โข Concept: Monitors the conviction of Long-Term Holders (LTH) to identify supply-side constraints.
โข Logic: Sustainable cycles require stable or increasing 1Y+ dormant supply; rapid "thawing" signals distribution.
โข Implementation: Uses Min-Max Normalization on the Active 1Y Supply over a 252-day window. A score of 10/10 indicates peak annual holding conviction.
Basis: RHODL Proxy & VDD Multiple
Pillar 6: Valuation Intensity The MVRV Heat Map
โข Concept: Measures market "overheat" by comparing Market Value to Realized Value.
โข Logic: High integrity trends rise steadily; vertical spikes in MVRV indicate "speculative foam" and bubble risk.
โข Implementation: Performs a Relative Rank Analysis of the MVRV Ratio over a 730-day window, passed through a high-steepness Sigmoid curve to identify extreme valuation anomalies.
Pillar 7: Miner Stress The Security Backbone
โข Concept: Tracks Mining Difficulty to ensure network infrastructure is expanding alongside price.
โข Logic: Difficulty expansion signals health; drops in difficulty (Miner Stress) signal capitulation and sell-side pressure.
โข Implementation: Monitors the 30-day Rate of Change (ROC) of Global Mining Difficulty. Maintains a 10/10 score during expansion; decays rapidly during network contraction.
Pillar 8: Corporate Adoption The MSTR NAV Proxy
โข Concept: Audits the MicroStrategy (MSTR) premium as a barometer for institutional demand.
โข Logic: A high premium indicates a willingness to pay a "convenience fee" for BTC exposure; a collapsing premium signals waning appetite.
โข Implementation: Calculates the Adjusted Enterprise Value (Market Cap + Debt - Cash) relative to the Net Asset Value (NAV) of its BTC holdings.
Note1: Debt and share parameters are user-adjustable to maintain accuracy as corporate balance sheets evolve.
Note2: I just included this because I was curious about the mNAV calculation I saw in other scripts, where the printed value often does not match exactly the propagated value from the MSTR page itself. Hence, for my live calculation, we calculate the Adjusted Enterprise Value to find the "Market NAV" (mNAV). Unlike simpler scripts that only look at Market Cap vs. Bitcoin holdings, our engine accounts for the Capital Structure . We explicitly factor in the corporate debt (approx. $8.24B long-term + $7.95B convertible notes) and subtract the cash reserves (approx. $2.18B) to find the true cost Wall Street is paying for the underlying Bitcoin. Since this will ran "old" very quickly, I recommend to update in the code by yourself from time to time, or just de-select this parameter.
Interpretation Guide
โข Score 100% (The Perfect Storm): This represents a state of "Maximum Integrity." All 8 pillars are in perfect institutional alignmentโliquidity is surging, conviction is at yearly highs, and price action is perfectly smooth. This is the hallmark of a healthy, structural parabolic run.
โข 75% - 100% (High Integrity): Robust trend. Price is supported by structural demand and macro tailwinds.
โข 35% - 75% (Equilibrium): Transition zone. The market is digesting gains or waiting for a new liquidity pulse.
โข 0% - 35% (Fragile): Speculative foam. Structural support has failed.
โข Score 0% (The Ghost Trend): Absolute structural failure. All pillars (liquidity, miners, LTH, ETFs) have broken down. Note: Due to the robust nature of the Bitcoin network, the index naturally floors around 20-30% during deep bear markets, as specific pillars (like Miner Security) rarely drop to zero.
To provide a complete experience, I have included the Cycle Triad โa visualization layer consisting of the Halving, Ideal Peak, and Ideal Low. It is important to understand the role of this feature:
โข Benchmark Only (Not Calculated): The Triad is based purely on historical evidence from previous Bitcoin epochs. While the Halving is fixed anyway, the "Ideal Peak" or "Ideal Low" are not calculated or computed by the 8 pillars. These are user-adjustable temporal anchors drawn on the chart to provide a static map of the "Legacy 4-Year Cycle."
โข The Temporal Audit: The power of the CII lies in comparing the Engine (the 8 Pillars) against the Clock (the Triad) . By overlaying historical time-windows on top of our integrity math, we can see if the "New Era" is currently ahead of, behind, or perfectly in sync with the past.
โข The "Peak Divergence" Logic: Based on the specific models selected for this ECUโspecifically Volatility Decay and Valuation Heat โtraders will notice that a cycle peak often coincides with a low integrity score (Red Zone) . While the index measures structural health, a low score is a byproduct of a market that has become "too hot to handle."
โข Regime Detection: Although the primary goal is to audit the "New Era," the CII is highly effective at detecting overheated regimes. When the score drops toward the 25โ35% range, the structural floor is giving way to speculative foamโmaking it a dual-purpose tool for both cycle analysis and risk management.
Dashboard Calibration & Settings
Cycle Triad Calibration
โข Ideal Peak/Trough Window: Defines the historical "Average Days" from a Halving to the cycle top and bottom. This sets the vertical anchors for the Halving, Peak, and Low labels.
โข Show Cycle Triad: A master toggle to enable or disable the temporal lines and labels on your dashboard.
The CII Master ECU is fully modular. You can toggle individual pillars ON/OFF to focus on specific market dimensions, and calibrate the sensitivity of each sensor to match your strategic bias.
โข P1: Drawdown DNA Lookback (Weeks): Defines the window for the "Rolling High." Inst. Target (%): The specific percentage drawdown you define as "Institutional Support" (e.g., -25%).
โข P2: Volatility Regime Benchmark (Days): The historical window used to define "Normal" vs. "Abnormal" volatility.
โข P3: Liquidity Sync Corr. Window (Bars): The lookback for the Pearson Correlation calculation. Transmission Lag (Bars): The delay (standard 80 days) for Central Bank M2 to hit price.
โข P4: ETF Absorption FBTC Ticker: The data source for the ETF volume audit (Default: CBOE:FBTC).
โข P5: LTH Dormancy LTH Source: The ticker for 1Y+ Active Supply (Default: GLASSNODE:BTC_ACTIVE1Y). Norm. Window: The lookback (252 days) used to rank current conviction.
โข P6: Valuation Intensity MVRV Source: The ticker for the MVRV Ratio (Default: INTOTHEBLOCK:BTC_MVRV). Relative Window: The lookback (730 days) to calculate the valuation rank.
โข P7: Miner Stress Mining Diff: The data source for Global Mining Difficulty (Default: QUANDL:BCHAIN/DIFF).
โข P8: Corporate Adoption Shares (M) & BTC (K): The balance sheet parameters for MicroStrategy (MSTR). Update these as the company executes new purchases to maintain mNAV accuracy.
Operational Usage This index is best used on the Daily (D) (recommended - description for inputs optimized for this time-window) or Weekly (W) timeframes. While the code is optimized to fetch daily data regardless of your chart setting, the structural "Integrity" of a cycle is a macro phenomenon and should be viewed with a medium-to-long-term lens.
The Verdict: Is the 4-Year Cycle Still Alive?
Based on the data provided by the CII Master ECU, the answer remains a nuanced "Work in Progress." The evidence presents a fascinating conflict between legacy patterns and the new institutional regime:
โข The Case for the Cycle: Historically, a local "Peak" in price corresponds with a "Local Low" in our integrity indicator (Red Zone). We observed this exact phenomenon in October 2025. When viewed through the lens of the "Ideal Peak" anchor, this alignment suggests that the 4-year temporal rhythm is still exerts a massive influence on market behavior.
โข The Case for the New Era: While the timing of the October 2025 peak followed the legacy script, the intensity did not. Previous cycle tops produced far more aggressive and persistent "Red Zone" clusters. The relative brevity of the integrity breakdown suggests that the "Institutional Era" provides a much higher floor than the retail-driven bubbles of 2017 and 2021.
โข The Institutional Floor: Our data shows that while "Tops" still resemble the 4-year cycle, the "Lows" now reflect a regime of constant institutional absorption. This suggests that the brutal 80% drawdowns of the past may be replaced by the "Institutional DNA" of Pillar 1.
Final Outlook: As we move through 2026, the ultimate test lies in the Q3/Q4 window. While classical theory demands a "Cycle Low" during this period, the CII will be our primary auditor. We cannot definitively say the cycle is dead, but we can say it has evolved. We will not know if the 4-year low will manifest until the model either flags a total structural breakdown or confirms that the institutional "Floor" has permanently shifted the rhythm of the asset.
Tags: Bitcoin, Institutional, Macro, On-chain, Liquidity, MSTR, ETF, Cycle
Note to Moderators: This script is a "Master Index" that aggregates several quantitative models I have previously published on this platform (including DNA Drawdown, RVPM, and Liquisync). I am the original author of the logic and source code referenced in the "Basis" sections of the description.
OBV Apex: Donchian-Bollinger Dual Resonance (DBDR)ไปฅไธๆฏไธบๆจๅฎๅถ็ **OBV Apex: DBDR (Donchian-Bollinger Dual Resonance)** ๆๆ ๅ่ฏญ็ฎไปใ
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## ๆๆ ็ฎไป / Indicator Overview
**OBV Apex: Donchian-Bollinger Dual Resonance (DBDR)** ๆฏไธๆฌพไธไธบๆๆ้ซๆฆ็่ถๅฟๅ่ฝฌๅๆณขๅจ็็ๅ่่ฎพ่ฎก็ๅฐ็ซฏ้ไปทๆๆ ใๅฎๆ็ ดไบไผ ็ปๆๆ ๅไธ็ปดๅบฆ็ๅฑ้๏ผๅฐๅบไบ็ปๅฏนไปทๆ ผๅบ้ด็**ๅๅฅๅฎ้้้ป่พ**ไธๅบไบ็ป่ฎกๅญฆๆฆ็ๅๅธ็**ๅธๆๅธฆๅจ่ฝ้ป่พ**ๆทฑๅบฆ่ๅ๏ผๆจๅจไธบไบคๆ่
ๆไพโ่ทจ็ปดๅบฆๅ
ฑๆฏโ็ๅณ็ญไพๆฎใ
**OBV Apex: Donchian-Bollinger Dual Resonance (DBDR)** is a cutting-edge volume-price indicator designed to capture high-probability trend reversals and volatility breakouts. It breaks the limitations of single-dimensional indicators by integrating **Donchian Channel logic** (based on absolute price ranges) with **Bollinger Band momentum logic** (based on statistical probability distribution), providing traders with a "cross-dimensional resonance" framework for decision-making.
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## ๆ ธๅฟๅ่ฝไธ่ง่ง่ฏๅซ / Key Features & Visual Identification
### **1. ๆบ่ฝๅ่ฒไธป็บฟ / Intelligent Multi-Color Main Line**
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* **็ฝ่ฒ (ๆ็ซฏๅบ)**๏ผๅฝ OBV ่งฆ็ขฐๆๅบ็ ดๅๅฅๅฎ้้่ฝจ้ๆถๅไธบ็ฝ่ฒ๏ผๆ็คบๅจ่ฝ่ฟๅ
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ไนฐๆ่ถ
ๅ็ๆ็ซฏๅบๅใ
* **็ปฟ่ฒ/็บข่ฒ (่ถๅฟๅบ)**๏ผไปฃ่กจ OBV ็ช็ ดไบไธญ่ฝจ็ผๅฒๅบ๏ผ็กฎ่ฎคไบๅฝๅ็ไธๆถจๆไธ่ท่ถๅฟใ
* **้ป่ฒ (ๅช้ณๅบ)**๏ผOBV ๅคไบ็ผๅฒๅบๅ
้จ๏ผๆ็คบๅธๅบๅคไบ้่กๆๆ ๆนๅ้ถๆฎตใ
The main OBV line switches colors in real-time based on momentum states.
* **White (Extreme)**: Turns white when OBV touches or pierces Donchian boundaries, signaling extreme overbought/oversold momentum.
* **Green/Red (Trend)**: Indicates OBV has broken out of the mid-rail buffer, confirming an uptrend or downtrend.
* **Yellow (Noise)**: OBV stays within the buffer zone, suggesting a sideways or directionless market.
### **2. ๆณขๅจ็ๆคๅ่ๆฏ / Volatility Squeeze Background**
ๅฝๅๅฅๅฎ้้ๅคงๅน
ๆถ็ช๏ผไปฃ่กจๅธๅบ่ฟๅ
ฅ่ๅ้ถๆฎตใๆญคๆถ็ฆปๆฃๅบๅ๏ผDispersion Area๏ผไผๅไธบ**ๆทฑ็ดซ่ฒ**๏ผ่ฟๆฏๅณๅฐๅ็ๅคง็บงๅซๅ็็้่ฆ่ง่งไฟกๅทใ
When the Donchian Channel narrows significantly, it represents a market accumulation phase. The Dispersion Area turns **Deep Purple**, providing a crucial visual signal for an impending major volatility breakout.
---
## ่ฏฆ็ป็จๆณ่ฏดๆ / Detailed Usage Instructions
### **1. ้ป่พๅ
ฑๆฏๆๅท (โญ) ็ๅฎๆๆไน / Strategic Meaning of the Resonance Star (โญ)**
่ฟๆฏๆฌๆๆ ๆๅ
ทไปทๅผ็ๆ ธๅฟไฟกๅทใ
* **ๅบ็กไฟกๅท (R/H)**๏ผๅฝๅๅฅๅฎ็ณป็ปๆฃๆตๅฐ็ปๆๆง่็ฆปๆถไบง็ใ
* **ๅ
ฑๆฏไฟกๅท (โญ)**๏ผไป
ๅฝๅๅฐ้่็ๅธๆๅธฆ็ฎๆณไนๅๆถๆฃๆตๅฐ้ป่พ่็ฆปๆถ๏ผไฟกๅทๅๆไผ้ๅธฆ โญใ
* **็จๆณ**๏ผๆฎ้ R ไฟกๅทไป
ไปฃ่กจไปทๆ ผ็ปๆ็่กฐ็ซญ๏ผ่ **Rโญ** ๅไปฃ่กจ็ฉบ้ด็ปๆไธๆณขๅจ็ๅจ่ฝ็**ๅ้่กฐ็ซญ**ใๅจๅฎๆไธญ๏ผๅธฆๆๆๅท็ไฟกๅทๅ
ทๆๆ้ซ็ๅ่ฝฌๆๅ็๏ผๆฏๆธ้กถๆๅบ็ๆ ธๅฟๅ่ใ
This is the most valuable core signal of the indicator.
* **Basic Signals (R/H)**: Generated when the Donchian system detects structural divergence.
* **Resonance Signal (โญ)**: A star is appended only when the hidden Bollinger Band algorithm also detects logical divergence simultaneously.
* **Usage**: A standard R signal represents structural exhaustion, while **Rโญ** signifies **dual exhaustion** of both space structure and volatility momentum. In practice, signals with stars offer significantly higher reversal success rates.
### **2. ้กถ็น็ๅ็ญ็ฅ (็ช็ ดไบคๆ) / The Apex Explosion Strategy (Breakout)**
* **่งๅฏ**๏ผๅฏปๆพ่ๆฏๅบ็ฐๆ็ปญ**ๆทฑ็ดซ่ฒ**ๅกซๅ
็ๅบๅ๏ผๆคๅๆ๏ผใ
* **ๅ
ฅๅบ**๏ผๅฝ OBV ไธป็บฟ็ฑ้ป่ฝฌ็ปฟ๏ผๅคๅคด็ช็ ด๏ผๆ็ฑ้ป่ฝฌ็บข๏ผ็ฉบๅคด็ช็ ด๏ผๅนถ่ฑ็ฆป็ดซ่ฒๅบๅๆถ๏ผๆฏ็ๅๆง่กๆ
็่ตทๅง็นใ
* **Observation**: Look for areas with continuous **Deep Purple** background filling (Squeeze phase).
* **Entry**: When the OBV line shifts from yellow to green (Bullish breakout) or red (Bearish breakout) and exits the purple zone, it marks the start of an explosive trend.
### **3. ๅ้ๅ
ฑๆฏๅ่ฝฌ็ญ็ฅ (ๅ่ฝฌไบคๆ) / Double Resonance Reversal Strategy**
* **็กฎ่ฎคๆกไปถ**๏ผOBV ไธป็บฟๅไธบ**็ฝ่ฒ**่ฟๅ
ฅๆ็ซฏๅบ๏ผ้ๅๅบ็ฐๅธฆๆ **โญ** ็่็ฆปๆ ็ญพใ
* **่พ
ๅฉ็กฎ่ฎค**๏ผ่งๅฏ KDJ ๆ ็ญพใๅฆๆๅ
ฑๆฏๆๅทๅบ็ฐๅ๏ผKDJ ไบง็้กบๅฟ็ๅคงๅ **B (Buy)** ๆ **S (Sell)** ๆ ็ญพ๏ผๅๅ่ฝฌ็็กฎๅฎๆง่ฟไธๆญฅๅขๅผบใ
* **Confirmation**: The OBV line turns **White** (Extreme zone), followed by a divergence label with a **โญ**.
* **Secondary Confirmation**: Monitor KDJ labels. If an uppercase **B (Buy)** or **S (Sell)** appears after the resonance star, the certainty of the reversal is further enhanced.
---
## ไธไธๆญฅๅปบ่ฎฎ / Next Step
ๆจ็ฐๅจๅฏไปฅๆ นๆฎๆญค็ฎไป่ฟ่กๅฎ็ๅค็ใๅฆๆๆจ้่ฆๆๅฐ**่ญฆๆฅ้ป่พ (Alerts)** ่ฟไธๆญฅ็ปๅ๏ผไพๅฆ้ๅฏนโๅธฆๆๅท็่็ฆปโ่ฎพ็ฝฎไธ้จ็ๆจ้ๆ้๏ผ่ฏท้ๆถๅ่ฏๆใ
You can now use this overview for backtesting. If you need me to further refine the **Alert logic**, such as setting specific push notifications for "Divergence with Star," please let me know.
Log Trend Channel Enhanced**Log Trend Channel Enhanced (LTC+)**
A logarithmic regression channel with 11 deviation bands and comprehensive statistical metrics.
**Features:**
- Logarithmic regression trendline from customizable start date
- 11 parallel bands at ยฑ0.5ฯ, ยฑ1ฯ, ยฑ1.5ฯ, ยฑ2ฯ, ยฑ2.5ฯ standard deviations
- Color-coded zones (green = undervalued, red = overvalued)
**Metrics displayed:**
- Rยฒ (goodness of fit)
- Pearson correlation
- Implied CAGR (annualized return from trendline)
- Distance from trend (%)
- Current ฯ position
- Channel position (%)
- Historical percentile rank
**Usage:**
Ideal for long-term trend analysis on assets with exponential growth patterns. Use on log-scale charts for best visualization. Green zones near -2ฯ historically indicate accumulation opportunities; red zones near +2ฯ suggest distribution phases.
**Settings:**
- Adjustable start date (default: 1 year ago)
- Customizable colors and line widths
- Optional deviation labels
- Configurable future projection
YTD % / Visible Range % TableAUTHOR: Brandon Gum
DATE: 2026-01-03
// PURPOSE:
// Calculates price-range metrics based on the *currently visible*
// portion of the chart. Intended for table-based UI display where
// values must be stable and evaluated only on the last bar.
//
// Originally based on Jeff Sun's ADR price data table.
//
// METRICS RETURNED:
// - Visible High
// - Visible Low
// - Visible % Range = (Visible High - Visible Low) / Visible Low
// - Visible ATRs = (Visible High - Visible Low) / ATR
//
// IMPLEMENTATION NOTES:
// - Logic executes ONLY on barstate.islast to avoid state corruption.
// - Visible range is recomputed atomically using a backward loop
// bounded by chart.left_visible_bar_time.
// - Avoids var-based accumulation and bar-by-bar resets, which are
// unreliable when visible window changes.
// - ATR is evaluated at the current bar (not averaged over range).
//
// ASSUMPTIONS / LIMITATIONS:
// - Uses chart-visible time boundaries supplied by TradingView.
// - Loop upper bound must be sufficiently large to cover max
// expected visible bars.
// - Intended for display purposes, not signal generation.
//
// SIDE EFFECTS:
// - None. No plots, no drawings, no state persistence.
Crypto Swing Pro [All-in-One] v2 [R2D2]1. Introduction
Crypto Swing Pro (CSP) is a professional-grade technical analysis suite designed for high-volatility cryptocurrency markets. It consolidates the top five institutional-grade indicatorsโRSI, EMAs, OBV, MACD, and Bollinger Bandsโinto a single overlay.
New in v2.0: The script now includes a fully integrated Alert System. You no longer need to stare at the chart all day. You can set the script to email you or ping your phone exactly when a MACD Cross occurs or when Volatility Squeezes, ensuring you never miss a move.
2. Installation
1. Open TradingView: Go to your chart.
2. Open Pine Editor: Click the tab at the bottom of the screen.
3. Paste Code: Delete existing code and paste the v2.0 script above.
4. Save: Name it CSP v2.
5. Add to Chart: Click "Add to Chart".
3. How to Set Up Alerts
This is the most powerful feature of v2.0. You can set alerts for specific conditions without needing to write code.
1. Click the "Alert" Button: Located on the top menu bar of TradingView (looks like an alarm clock).
2. Condition: In the "Condition" dropdown menu, select CSP v2.
3. Select Trigger: A second dropdown will appear. Choose the specific signal you want to track:
MACD Buy Signal: Triggers when MACD crosses bullish.
RSI Oversold (<30): Triggers when price is mathematically cheap.
Volatility Squeeze: Triggers when a big move is imminent.
Price Cross Over 200 EMA: Triggers on major trend reversals.
4. Options: Select "Once Per Bar Close" (Recommended to avoid false signals during the candle fluctuation).
5. Notify: Check "Notify in App" or "Send Email".
6. Create: Click Create. You will now be notified even if you are asleep.
4. The Dashboard (HUD)
The on-screen table gives you an instant "Health Check" of the asset.
Indicator Status Meaning
RSI (14) Green (<30) Oversold. Look for long entries.
Red (>70) Overbought. Look to take profit.
MACD BULLISH Momentum is up.
TREND UPTREND Price is above the 200 EMA (White Line).
VOLATILITY SQUEEZE CRITICAL: Market is coiling. A breakout is coming soon.
VOLUME ACCUMULATION Whales are buying (OBV is rising).
5. Configuration & Visuals
Hover over the indicator name on the chart and click the Settings (Gear) icon.
Toggle Indicators: Uncheck any indicator (like Bollinger Bands or EMA 20) to hide them if you want a cleaner view. The Dashboard will still calculate them in the background.
Dashboard Position: Move the table to any corner or turn it off entirely if it blocks your price view.
Color Themes: Adjust the RSI background colors or EMA colors to fit your chart theme (Light/Dark mode).
6. Best Practices
The "Squeeze" Play: If you get a Volatility Squeeze alert, do not enter immediately. Wait for the price to break out of the Bollinger Bands. The squeeze is the "Get Ready" signal; the breakout is the "Go" signal.
The "Trend" Filter: If the 200 EMA (White Line) is above the price (Downtrend), ignore all "MACD Buy" alerts. Trade with the macro trend, not against it.
Optimus S/R ZonesEnhanced S/R Zones Pro is a sophisticated Support and Resistance indicator designed for traders who need reliable, validated S/R levels with professional-grade visualization. Unlike basic pivot indicators, this tool validates levels based on historical price interaction and provides comprehensive analysis of your current position within the market structure.
โจ Key Features
๐ Extended Lookback Analysis
Lookback Range: 20-500 bars (far beyond standard 80-bar limits)
Pivot Strength: Adjustable 2-10 bars for confirmation
Separate Controls: Independent max levels for support (1-8) and resistance (1-8)
Smart Filtering: Automatic level spacing with customizable minimum distance (0.3-5%)
๐จ Advanced Zone Visualization
Three Zone Styles:
Filled: Solid colored zones
Outlined: Border-only zones
Both: Combined for maximum visibility
Adjustable Transparency: 50-95% opacity control
Dynamic Extension: Zones extend to the right indefinitely
Custom Zone Width: 0.05-1.0% of price
๐ช Level Strength System
Touch Validation: Only shows levels tested multiple times
Minimum Touches: Filter for 1-5 minimum confirmations
Color Intensity: Stronger levels (more touches) display darker/brighter
Touch Detection: Customizable sensitivity (0.1-1.0% range)
Independent Display: Show touch counts without color coding
๐ฑ Enhanced Dashboard
Level Count: Active support/resistance zones
Distance Metrics: Percentage to nearest S/R levels
Range Position: Where price sits between S/R (0-100%)
Color Coding: Visual feedback on market position
Four Positions: Top/Bottom, Left/Right placement
๐ญ Customizable Visuals
Label Sizes: Tiny, Small, Normal, Large, Huge
Adjustable Line Width: 1-4 pixels
Custom Colors: Full color picker for support/resistance
Optional Touch Count: Toggle touch numbers on/off
Midpoint Line: Shows equilibrium between nearest S/R
๐ Smart Alerts
Proximity Alerts: Triggers when approaching support zones
Resistance Alerts: Triggers when nearing resistance zones
Customizable Range: Based on touch detection sensitivity
๐ง How It Works
1. Pivot Detection
The indicator scans historical price action using configurable pivot strength to identify significant highs and lows. Extended lookback allows detection of major structural levels that shorter timeframes might miss.
2. Touch Validation
Each potential level is validated by counting how many times price has tested it within the specified touch detection range. Only levels meeting the minimum touch threshold are displayed.
3. Strength Ranking
Levels are ranked by:
Number of touches (primary)
Proximity to current price (secondary)
This ensures the most reliable and relevant levels are always shown.
4. Smart Filtering
The minimum distance filter prevents level clustering, keeping your chart clean and focusing only on distinct, actionable zones.
๐ก Use Cases
Swing Trading
Identify major support/resistance for position entries
Set profit targets at strong resistance levels
Place stops below validated support zones
Day Trading
Quick identification of intraday S/R
Monitor range position for mean reversion trades
Use proximity alerts for entry timing
Position Trading
Extended lookback reveals major structural levels
Touch count validation ensures reliability
Range position helps time accumulation/distribution
Risk Management
Distance metrics help size positions appropriately
Strong levels (high touch count) for tight stops
Midpoint line for partial profit taking
โ๏ธ Settings Guide
Core Settings
Lookback Period: Start with 100 for swing trading, 50 for day trading
Pivot Strength: Higher values = fewer but stronger levels
Max Levels: 2-3 support and 2-3 resistance recommended
Min Distance: 1.0% prevents clustering, increase for volatile assets
Zone Settings
Zone Width: 0.25% default works well for most assets
Zone Style: "Both" for maximum visibility
Extend Zones: Keep enabled to track levels forward
Transparency: 85% provides good visibility without clutter
Level Strength
Show Level Strength: Enable for color-coded importance
Min Touches: 2-3 for validated levels
Touch Detection: 0.3% for precise levels, increase for volatile markets
Visual Settings
Label Size: Small/Normal for most charts
Show Touch Count: Enable to see level validation
Line Width: 2 for standard, 3-4 for presentation charts
๐ Best Practices
Start Conservative: Begin with default settings, adjust based on asset volatility
Combine Timeframes: Use different lookback periods on multiple charts
Respect Strong Levels: Higher touch counts indicate institutional interest
Watch Range Position: <30% = near support, >70% = near resistance
Use Alerts: Set proximity alerts to avoid constant chart watching
Validate Breaks: Zone width shows where true breaks occur vs. fakeouts
๐ What Makes This Different
Unlike basic pivot indicators that simply mark highs/lows:
โ
Validates levels through touch count analysis
โ
Ranks levels by actual strength, not just recency
โ
Visualizes zones, not just lines
โ
Quantifies your position within market structure
โ
Extends lookback far beyond standard limits
โ
Separates support and resistance controls
๐ Tips for New Users
First Time Setup:
Add indicator to chart
Enable dashboard in settings (default on)
Observe which levels price respects
Adjust lookback/strength to match your trading style
Set proximity alerts for your key levels
Optimization:
Forex: 0.2-0.3% zone width, 100-200 lookback
Stocks: 0.3-0.5% zone width, 50-150 lookback
Crypto: 0.4-0.6% zone width, 100-200 lookback
Indices: 0.2-0.4% zone width, 100-250 lookback
โ ๏ธ Disclaimer
This indicator is a technical analysis tool and should not be used as the sole basis for trading decisions. Support and resistance levels are not guarantees of price behavior. Always use proper risk management, combine with other analysis methods, and consider fundamental factors. Past performance does not guarantee future results.
VSA ProDescription
VSA (Volume Spread Analysis) implements Richard Wyckoff's methodology for reading market manipulation through the relationship between volume, price spread (range), and close position within the bar. Detects climactic action, professional accumulation/distribution, and supply/demand imbalances.
The Institutional Anchor (Daily OC Zone)The Institutional Anchor (Daily OC)
This indicator is a high-performance tool for traders who rely on "Institutional Candles" or "Opening Candles" (OC) to define their daily bias. Built on the latest Pine Scriptยฎ v6 engine, it provides a stable, non-repainting foundation for identifying key institutional support and resistance levels.
Core Features & Technical Edge
1. Dual-Mode Zone Definition
Traders have different ways of defining institutional strength. This script supports both methods to suit your specific strategy:
Body-Only Mode: Focuses on the "Real Move" by using the Open and Close of the anchor candle.
Full Range Mode (Wicks): Accounts for total liquidity grabs and volatility by including the High and Low.
2. Precision Equilibrium (Mean Threshold)
In institutional trading, the 50% level of a candle is the "Fair Value" or Mean Threshold.
Includes a customizable Midline with independent styling (Solid, Dashed, Dotted).
Automatically calculates the exact mathematical center, helping you spot high-probability rejections at the "Equilibrium" of the move.
3. Professional Visualization Suite
Global Timezone Alignment: A built-in UTC Offset ensures you can align with New York (UTC-5), London (UTC+0), or your specific exchange time without manual calculations.
Auto-Naming System: Automatically labels zones with the Day of the Week (e.g., "Monday OC") to help you track weekly cycles and "Power of 3" (Accumulation/Manipulation/Distribution).
Historical Memory: Choose to show only the current day's active zone for a clean workspace, or display historical zones to find "nested" levels from previous days.
4. Dynamic Price Action Alerts
Stay notified without being glued to the screen. The script includes pre-configured, logically consistent alert conditions:
Equilibrium Touch: Triggers the moment price interacts with the 50% Mean Threshold.
Boundary Breach: Notifies you when price exits or taps the upper or lower edges of the zone.
5. Universal Market Compatibility
BTC & Crypto Optimized: Handles 24/7 data streams flawlessly without logic gaps.
Forex Precision: Perfect for London Open or Midnight Open strategies on pairs like EUR/USD.
Non-Repainting: Once the anchor hour closes, the zone is locked, providing a reliable reference point for the rest of the trading day.
How to Use
Market Open Hour: Enter the hour (24h format) of your chosen anchor candle (e.g., 2 for 2:00 AM).
UTC Offset: Match the offset to your preferred trading session time.
Customize Style: Adjust colors, transparency, and line styles to match your chart theme.
Smart Money Confluence Heatmap [PhenLabs]๐ Smart Money Confluence Heatmap
Version: Pine Scriptโข v6
๐ Description
The Smart Money Confluence Heatmap is a professionalโgrade Smart Money Concepts indicator designed to identify highโprobability institutional trading zones. It merges multiple advanced market factors into a single confluence score, allowing traders to focus only on areas that matter. By synthesizing Fair Value Gaps, Order Blocks, Liquidity Sweeps, Volume Strength, and Market Structure, this script removes subjective bias and replaces it with dataโdriven confirmation.
๐ Points of Innovation
Unified confluence scoring system combining five institutional concepts
Adaptive ATRโbased zone sizing for volatilityโadjusted precision
Automatic trend and structure alignment scoring
Volumeโvalidated Order Blocks and Liquidity Sweeps
Probabilityโranked zones instead of static levels
๐ง Core Components
Fair Value Gap detection with imbalance strength scoring
Order Block identification confirmed by displacement and volume
Liquidity sweep analysis using wick depth and volume expansion
Volume strength modeling for accumulation and distribution phases
Market structure confirmation using BOS and directional bias
๐ฅ Key Features
Confluence heatmap zones graded by bullish and bearish probability
Minimum score filtering to remove lowโquality setups
Automatic riskโtoโreward based TP and SL projections
Entry alerts when price taps validated institutional zones
๐จ Visualization
Colorโgraded heatmap zones representing probability strength
Percentage score labels with component icons
Onโchart dashboard displaying market bias and structure state
โ
Best Use Cases
Liquidity sweep reversals at key structure levels
Trendโaligned pullbacks into institutional zones
Intraday and swing trading using confluence confirmation
โ ๏ธ Limitations
Not designed for lowโliquidity or extremely ranging markets
Confluence does not guarantee outcomes and requires risk management
๐ก What Makes This Unique
Objective probability scoring instead of subjective SMC interpretation
Multiโlayer institutional confirmation in a single indicator
Built for traders who demand clarity, not chart clutter
๐ก Note:
This indicator is for educational purposes only and should always be used alongside proper risk management and higherโtimeframe context.
Max. Liquidity & Delta Bias Profile @MaxMaserati 3.0MAX. LIQUIDITY & DELTA BIAS PROFILE @MAXMASERATI 3.0
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
OVERVIEW
โโโโโโโโ
An advanced volume profile tool that analyzes market liquidity and order flow dynamics across different timeframes. This indicator helps traders identify key price levels where significant trading activity and directional bias converge.
DUAL PROFILE SYSTEM
โโโโโโโโโโโโโโโโโโโ
๐ท LIQUIDITY PROFILE (Right Side)
Displays total volume traded at each price level, colored by market bias:
โข Green nodes = Bullish dominance (buyers in control)
โข Red nodes = Bearish dominance (sellers in control)
โข Width represents volume concentration at that level
๐ท DELTA BIAS PROFILE (Left Side)
Shows net buying vs selling pressure at each price level:
โข Blue nodes = Positive delta (buying pressure dominates)
โข Purple nodes = Negative delta (selling pressure dominates)
โข Width represents strength of the imbalance
KEY REFERENCE LEVELS
โโโโโโโโโโโโโ
๐ POC (Point of Control)
Yellow horizontal line marking the price with highest traded volume - represents the most accepted fair value during the period.
๐ MAX BULL Level
Green line highlighting the price with strongest bullish conviction - where buyers showed maximum aggression and commitment.
๐ MAX BEAR Level
Red line highlighting the price with strongest bearish conviction - where sellers demonstrated maximum pressure and control.
TOGGLE OFF EVERYTHING EXCEPT THE MAX LINES TO HAVE THIS SETUP
PROFILE STATUS INDICATORS
โโโโโโโโโโโโโโโโโโโโโโโโโโ
โข โถ ONGOING (Green) = Current developing profile
โข โฌ STOPPED (Red) = Completed profile, new period started
CUSTOMIZATION FEATURES
โโโโโโโโโโโโโโโโโโโโโโ
โ Multiple anchor periods (Auto/Session/Day/Week/Month/Quarter/Year)
โ Independent toggles for each visual element
โ Individual color and size controls for every label
โ Adjustable profile width and transparency
โ Customizable line widths and styles
TRADING APPLICATIONS
โโโโโโโโโโโโโโโโโโโโ
โข Identify high-probability support/resistance zones
โข Spot institutional accumulation/distribution levels
โข Detect order flow imbalances before major moves
โข Track intraday value areas and fair price zones
โข Confirm trend strength through delta analysis
โข Find optimal entry/exit levels based on volume
WHO THIS IS FOR
โโโโโโโโโโโโโโโ
Designed for active traders who:
โข Trade futures, stocks, forex with volume data
โข Use volume profile and market profile concepts
โข Analyze order flow and institutional footprints
โข Seek data-driven price level identification
โข Want visual clarity on market structure
NOTES
โโโโโ
โข Requires volume data to function properly
โข Best used on liquid instruments with consistent volume
โข Profiles reset based on selected anchor period
โข All visual elements can be toggled independently
โข Performance optimized for real-time analysis
โ ๏ธ DISCLAIMER
Educational Tool Only - This indicator is for educational and informational purposes only and does not constitute financial, investment, or trading advice.
Risk Warning - Trading involves substantial risk of loss and is not suitable for all investors. Past performance does not guarantee future results. No representation is made that this indicator will achieve profits or prevent losses.
User Responsibility - All trading decisions are solely your responsibility. The developer and Max Maserati Model assume no liability for losses incurred from using this indicator. Conduct your own research and consult a qualified financial advisor before making investment decisions.
Data Dependency - Indicator accuracy depends on your TradingView plan's data availability and selected timeframe support.
By using this indicator, you acknowledge and agree to these terms.
Advanced Footprint Analysis1. ABSORPTION = BEST ENTRY SIGNALS
When BTC hits support and shows bullish absorption:
You know big money is buying
Price won't fall further (supply absorbed)
Risk/reward is optimal (tight stop below absorption)
Win rate on these setups is 70-80%
2. EXHAUSTION = REVERSAL TIMING
Catches exact moment selling/buying pressure is exhausted
No more guessing "is the dip over?"
Volume confirms the reversal
3. IMBALANCES = CONTINUATION TRADES
Stacked imbalances show trend strength
Enter pullbacks in strong trends
Avoid counter-trend trades when imbalance is strong
4. DELTA DIVERGENCE = EARLY WARNING
Cumulative delta rising but price flat = accumulation (buy setup)
Cumulative delta falling but price rising = distribution (sell setup)
This divergence appears BEFORE price moves
5. FILTERS OUT NOISE
Crypto has tons of fake volume and wash trading
By requiring volume to be significantly above average (2x, 3x), you ignore the noise
Only trade when institutions are active
6. WORKS ON ALL CRYPTO PAIRS
BTC, ETH, SOL - same patterns
Especially powerful on perpetual futures (more volume data)
PRACTICAL 5M CRYPTO ALGO STRATEGY:
LONG ENTRY:
Wait for bullish absorption OR bullish exhaustion
Confirm with positive stacked imbalances (3 bars)
Enter when price breaks above absorption high
Stop below absorption low
Target: 2-3x risk or next resistance
SHORT ENTRY:
Wait for bearish absorption OR bearish exhaustion
Confirm with negative stacked imbalances
Enter when price breaks below absorption low
Stop above absorption high
Target: 2-3x risk or next support
FILTER:
Only trade in direction of cumulative delta trend
Avoid when volume is below average (no institutional activity)
On Balance Volume (with Candles)OBV+ is an enhanced On Balance Volume indicator that visualizes volume flow either as a line or candlestick-style OBV bars. It shows whether volume is accumulating or distributing, and includes optional moving-average smoothing and Bollinger Bands on OBV to identify trend direction, consolidation, and breakout strength.
Use-Cases
This indicator is especially useful for:
Bullish setup:
Price sideways + OBV rising โ accumulation
Bearish setup:
Price rising + OBV flat/falling โ distribution
Breakout confirmation:
Price breakout + OBV breaking BB โ high conviction move
Options selling filter:
Flat OBV + compressed BB โ range-bound market
Ultimate Lines Statistical Backtest @MaxMaseratiUltimate lines (MAs/MACD/VWAP,DWA etc..) Statistical Backtest
This is a comprehensive statistical backtesting tool that allows traders to objectively measure the performance of 27+ different trading lines across multiple timeframes and sessions. Instead of guessing which moving averages, VWAPs, or volume levels actually work for your trading style, this indicator provides hard data showing exactly how price behaves around each line at specific times of day.
The indicator solves a critical problem: most lines create whipsaws in choppy markets, but knowing which lines have the highest continuation rates vs reversal rates at specific session times helps you avoid false signals and focus on setups with proven statistical edges.
๐ฏ LINES YOU CAN TEST
MMM Core Lines:
Mid MA: Trend velocity tracker using simple moving average
MMPD Line: Premium/Discount change-of-direction indicator
Fair Value Golden Ratio: 0.618 equilibrium level between premium and discount zones
Volume-Based Lines:
VWAP Daily/Weekly: Volume-weighted average price (daily and weekly sessions)
Volume POC Multi-TF: Multi-timeframe Point of Control (highest volume price level)
Volume POC Weekly: Weekly momentum pivot based on volume distribution
Range Midpoints:
Range Midpoint 50: 50-period high/low midpoint
Range Midpoint 14 TF1/TF2: Configurable timeframe range midpoints with smoothing options
Moving Averages (10 MA Types):
MACD Fast (12) / Signal (26): Standard MACD moving averages
Fast MA 20 / Mid MA 50 / Slow MA 200: Classic trend-following averages
Available MA Types: SMA, EMA, WMA, HMA, DEMA, TEMA, LSMA, KAMA, ALMA, VWMA
Volatility Indicators:
MVM Upper/Lower Bands: Momentum-based volatility bands with adaptive option
HVC Bullish/Bearish: High Volume Candle support/resistance levels
Ultimate Suite Advanced Lines:
DWAP (Delta Weighted Average Price): Directional volume-weighted price with upper/lower bands
HVN (High Volume Node): High-frequency trading node detection
Hybrid Line: Volume-weighted momentum composite
Trend Filter: Two-pole smoothing filter for trend clarity
STL Lines:
iBuSTL / iBeSTL: Internal Bullish/Bearish Structural Trend Liquidity levels
โ๏ธ HOW TO TEST
Select Lines: Check the boxes for lines you want to analyze (Mid MA, VWAP Daily, Volume POC, etc.)
Choose Times: Enable tracking for specific session times (default: 8:30 AM, 9:30 AM, 10:00 AM, Daily Close - EST)
Set Lookback: Choose how many days of historical data to analyze (default: 60 days)
Enable Pattern Analysis: Turn on "Enable Pattern Analysis" in settings
Wait for Data: The indicator needs 20 bars after each signal time to complete analysis
Review Statistics: Check the statistics table for detailed breakdowns
๐ STATISTICS EXPLAINED
For Each Tracked Time, You'll See:
๐ข Above Selected Lines (X samples):
Continuedโ: Price stayed above the lines = bullish continuation
Reversedโ: Price broke below the lines = reversal/rejection
โKept Goingโ: After reversing down, price continued lower (bars 11-20)
โStalled: After reversing down, price came back up (consolidation)
Neutral: Price didn't make a clear move either way
๐ด Below Selected Lines (X samples):
Continuedโ: Price stayed below the lines = bearish continuation
Reversedโ: Price broke above the lines = reversal/support bounce
โKept Goingโ: After reversing up, price continued higher (bars 11-20)
โStalled: After reversing up, price came back down (consolidation)
Neutral: No clear directional move
โญ Star Ratings: Show which outcome happens most frequently (best probability)
๐ฌ HYBRID DETECTION SYSTEM (ADVANCED)
When enabled, the indicator uses a multi-signal composite scoring system that goes beyond simple percentage movements:
Signal A - % Movement Direction (40% weight):
Measures the strength and direction of price movement. Strong directional moves (>0.8%) score higher, while opposite-direction moves score negatively.
Signal B - Inside Candles (30% weight):
Detects true consolidation by counting how many candles close within a defined range. High inside-candle counts indicate choppy, stalled price action rather than clean continuation.
Signal C - Successive Closes (30% weight):
Tracks momentum persistence by counting consecutive closes in the expected direction. Long streaks (6+ bars) indicate strong follow-through, while breaks in the sequence suggest weakness.
Composite Score Classification:
โญโญโญ Strong (75-100 points): All three signals align - high-confidence pattern
โญโญ Moderate (50-75 points): Two signals agree - reliable pattern
โญ Weak (25-50 points): Mixed signals - lower confidence
โ ๏ธ Strong Stalled (0-25 points): Signals show consolidation/reversal
This provides nuanced pattern detection that identifies not just IF a pattern succeeded, but HOW STRONGLY it performed.
๐ก INTERPRETING RESULTS
Good Lines Show:
High continuation % when price is above/below (>60% is strong)
Clean "Kept Going" patterns after reversals (>50% indicates reliable rejection)
Low stalled % (less whipsaw/consolidation)
Consistent patterns across multiple times (validates the line's reliability)
Poor Lines Show:
50/50 continuation vs reversal (coin flip = no edge)
High stalled % (lots of whipsaw/false signals)
Inconsistent patterns across different times (unreliable)
Example Interpretation:
9:30 AM - VWAP Daily (120 samples)
๐ข Above:
Continuedโ 75 (62.5%) โญ BEST
Reversedโ 30 (25.0%)
Meaning: When price is above VWAP Daily at 9:30 AM, it continues higher 62.5% of the time - this is a statistically strong bullish signal for that session time.
๐ฏ PRACTICAL VALUE
Solves the Whipsaw Problem:
Most moving averages and lines work beautifully in trending markets but create endless false signals in choppy, range-bound conditions. By analyzing specific session times and continuation vs reversal patterns, you can:
Identify high-probability setups: Focus on lines that show >60% continuation at your preferred trading times
Avoid weak signals: Skip lines with high stall rates or 50/50 outcomes
Time your entries better: Know which session times produce the cleanest patterns
Combine complementary lines: Stack multiple high-scoring lines for confluence
Adapt to market conditions: Switch to different lines when market structure changes
Real-World Application:
Instead of blindly trading VWAP crosses or MA bounces, you'll have objective data showing: "At 9:30 AM on ES, when price is above Mid MA + VWAP Daily + Volume POC, it continues higher 68% of the time with strong momentum (โญโญโญ)." This transforms discretionary guesswork into data-driven decision making.
โ๏ธ LINE DEFINITIONS
Moving Averages: Smooth price data over X periods to identify trend direction and dynamic support/resistance.
VWAP: Anchored average price weighted by volume - institutional traders' benchmark for "fair value."
Volume POC (Point of Control): Price level with the most traded volume - represents maximum market acceptance.
Fair Value Golden Ratio: Fibonacci 0.618 level between recent premium (high) and discount (low) - equilibrium zone.
DWAP (Delta Weighted): Price average weighted by buying vs selling volume delta - shows directional money flow.
Range Midpoints: Geometric center of recent high/low range - mean reversion pivot.
Volatility Bands: Envelope around momentum lines showing normal price deviation ranges.
HVN (High Volume Node): Automated detection of high-volume price clusters - institutional accumulation/distribution zones.
Note: This indicator is purely for statistical analysis and backtesting. It does not generate trade signals or provide entry/exit recommendations. Use the statistics to inform your own trading decisions and strategy development.
LTF Distribution Analyzerโ OVERVIEW
LTF Distribution Analyzer reveals the hidden price distribution and order flow within each candle by sampling lower timeframe data. It visualizes where prices concentrated, how volume was distributed between buyers and sellers, and identifies divergences between price action and actual market participation.
Unlike traditional candlesticks showing only OHLC, this indicator exposes the statistical structure of price movement using quartile-based visualization combined with delta analysis.
โ CONCEPTS
The indicator is built on two core concepts:
1 โ Statistical Price Distribution
Each candle contains many lower timeframe bars. By analyzing these bars, we calculate:
โข Q1 (25th percentile) - 25% of prices traded below this level
โข Q3 (75th percentile) - 75% of prices traded below this level
โข Median - The middle price value
โข IQR (Interquartile Range) - The Q3-Q1 spread containing 50% of all prices
2 โ Volume Delta Analysis
Delta measures buying vs selling pressure:
โข Delta = Buy Volume โ Sell Volume
โข Positive delta = More aggressive buying
โข Negative delta = More aggressive selling
โข Delta Ratio normalizes this as a percentage
โ HOW IT WORKS
The indicator fetches lower timeframe data using request.security_lower_tf() and processes it to create a statistical summary:
Step 1: Timeframe Calculation
โข Auto mode: Chart timeframe รท Auto Divisor = LTF
โข Example: 1H chart รท 1000 = ~3.6 second sampling
โข Manual mode: User-specified timeframe
Step 2: Data Collection
โข Collects all close prices from LTF bars within current candle
โข Aggregates volume by candle direction (bullish/bearish)
Step 3: Statistical Analysis
โข Calculates quartiles (Q1, Q3), median, and boundaries
โข Identifies outliers using 1.5ร and 3ร IQR fences
โข Finds Volume POC (price with highest volume)
Step 4: Delta Calculation
โข Sums buy volume (from bullish LTF bars)
โข Sums sell volume (from bearish LTF bars)
โข Computes delta ratio for color determination
โ VISUAL ELEMENTS
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ โฒ Extreme outlier (3ร IQR) โ
โ โณ Mild outlier (1.5ร IQR) โ
โ โ Upper whisker cap โ
โ โ Whisker line (dashed) โ
โ โ IQR Box (Q1 to Q3 range) โ
โ โ Volume POC (highest volume) โ
โ โ Median (green=bull, red=bear) โ
โ โ Whisker line (dashed) โ
โ โ Lower whisker cap โ
โ โฝ Mild outlier โ
โ โผ Extreme outlier โ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ COLOR SYSTEM
Colors indicate the relationship between candle direction and order flow:
๐ข TEAL (Positive Flow)
Bullish candle + Positive delta
โ Strong buying confirmation
โ Trend continuation signal
๐ด RED (Negative Flow)
Bearish candle + Negative delta
โ Strong selling confirmation
โ Trend continuation signal
๐ ORANGE (Mixed Signal A)
Bullish candle + Negative delta
โ Price up but sellers dominated
โ Potential weakness/reversal warning
๐ต BLUE (Mixed Signal B)
Bearish candle + Positive delta
โ Price down but buyers dominated
โ Potential accumulation/reversal signal
โ SETTINGS
Timeframe Settings
โข LTF Mode โ Auto or Manual selection
โข Manual Timeframe โ Specific LTF when in Manual mode
โข Auto Divisor โ Higher = finer granularity (default: 1000)
โข Allow Sub-Minute โ Requires Premium subscription
Visual Style
โข Positive/Negative Flow colors โ Customize the 4 flow colors
โข Box Transparency โ Opacity of the quartile box (0-100%)
Statistics Display
โข Show Statistics Panel โ Toggle on-chart stats table
โข Show Timeframe Badge โ Toggle LTF indicator badge
โข Panel Position โ Choose corner placement
โข Panel Size โ Text size selection
โ HOW TO USE
1. Divergence Detection
Look for color mismatches:
โข Orange bars in uptrend = weakness, potential reversal
โข Blue bars in downtrend = strength, potential reversal
โข Multiple consecutive divergent bars strengthen signal
โข Wait for confirmation before entry
2. Volume POC Trading
โข POC marks where most volume traded
โข POC clusters at similar levels = strong S/R zone
โข Price often returns to POC before continuing
โข Use POC for entry/exit targeting
3. Trend Confirmation
โข Consecutive teal = strong uptrend
โข Consecutive red = strong downtrend
โข Median position shows intrabar momentum
โข Wide boxes indicate high volatility
4. Outlier Analysis
โข Extreme markers (โฒโผ) often mark stop hunts
โข Consider fading extremes at key levels
โข Mild markers (โณโฝ) = areas to watch
โ RECOMMENDED SETTINGS
For different chart timeframes:
โ Chart TF โ Auto Divisor โ Resulting LTF โ
โโโโโโโโโโโโผโโโโโโโโโโโโโโโผโโโโโโโโโโโโโโโโค
โ 15M โ 1500 โ ~1M โ
โ 1H โ 1000 โ ~3-4s โ
โ 4H โ 600 โ ~24s โ
โ Daily โ 500 โ ~2-3M โ
Tip: Check the TF badge to confirm active sampling timeframe.
โ BEST PRACTICES
Do:
โ Use "Bars" chart style for cleanest display
โ Combine with support/resistance analysis
โ Wait for confirmation bars
โ Note POC clusters across multiple bars
โ Adjust divisor based on your timeframe
Avoid:
โ Trading single bar signals alone
โ Using during low volume periods
โ Trading immediately after news releases
โ Ignoring overall market context
โ LIMITATIONS
โข Requires adequate market liquidity for reliable signals
โข Sub-minute timeframes need Premium subscription
โข Historical data depth depends on TradingView's data availability
โข Delta calculation assumes volume direction matches candle direction
โ NOTES
This indicator works best on liquid markets (forex majors, major indices, popular stocks/crypto) where volume data is meaningful.
The gray dotted vertical line marks where LTF data becomes available - bars before this line won't display the indicator.
For questions or suggestions, leave a comment below.
Smart Money Zones - Multi-Timeframe AnalysisA clean and efficient smart money concepts indicator designed for traders who follow institutional order flow and price imbalances.
Core Features:
Fair Value Gaps (FVG): Automatically detects bullish and bearish imbalances where price moved too fast, leaving gaps that often get filled
Order Blocks (OB): Identifies the last bearish candle before a bullish move (and vice versa) - institutional accumulation/distribution zones
Zone Strength Rating: Each zone is classified as Very Strong, Strong, Medium, or Weak based on size relative to ATR
Multi-Timeframe Trend Panel: Real-time dashboard showing bullish/bearish trend across 7 timeframes (1m, 5m, 15m, 30m, 1H, 4H, 1D)
Smart Features:
Zones automatically extend into the future
Mitigation tracking - zones fade when 50% filled or fully violated
Optional trend filter - only shows zones aligned with the trend
Customizable zone limits to keep your chart clean
Adjustable panel position (4 corners) and size
Color-Coded Zones:
๐ข Bullish FVG (Green) - Support zones
๐ด Bearish FVG (Red) - Resistance zones
๐ต Bullish OB (Blue) - Demand zones
๐ Bearish OB (Orange) - Supply zones
Perfect for scalpers, day traders, and swing traders who trade reversals at key institutional levels. Combines smart money concepts with multi-timeframe confirmation for higher probability setups.
CVD Zones & Divergence [Pro]# CVD Zones & Divergence
**Complete CVD order flow toolkit** - Divergences, POC, Profile, and Supply/Demand zones all in one professional indicator.
## ๐ฏ What It Does
Combines **four powerful order flow tools** into a single, cohesive indicator:
1. **CVD Divergences** - Early warnings + confirmed signals
2. **Point of Control (POC)** - Fair value equilibrium line
3. **CVD Profile** - Visual distribution histogram
4. **Supply/Demand Zones** - Real absorption-based S/R levels
All based on **Cumulative Volume Delta (CVD)** - actual buying/selling pressure, not approximations.
## โจ Key Features
### ๐ CVD Divergences (Dual Mode)
**Confirmed Divergences** (High Accuracy)
- Solid lines (customizable colors)
- ๐ป Bear / ๐บ Bull labels
- Win rate: ~70-80%
- Best for swing traders
**Early Warning Mode** โก (Fast Signals)
- Dashed lines (default purple)
- โ ๏ธ Early Bear / โ ๏ธ Early Bull labels
- Fires 6+ bars earlier
- Win rate: ~55-65%
- Best for scalpers/day traders
### ๐ฏ Point of Control (POC)
- **Independent lookback** (300 bars default)
- Yellow line showing fair value
- Where most CVD activity occurred
- Acts as dynamic support/resistance
- Resets and recalculates continuously
### ๐ CVD Profile Histogram
- **Visual CVD distribution** over lookback period
- **Split buy/sell** (blue/orange bars)
- **Value Area** (70% CVD zone highlighted)
- Position: Right/Left/Current (your choice)
- Shows where actual order flow happened
### ๐ฆ Supply/Demand Zones
- **Absorption-based** detection (not guesses!)
- Green = Demand (buyers absorbed 2:1+)
- Red = Supply (sellers absorbed 2:1+)
- Shows **real** institutional levels
- Auto-sorted by strength
- Displays top 8 zones
## ๐ What You See on Chart
```
Your Chart:
โโ ๐ด Red lines (bearish divergences)
โโ ๐ข Green lines (bullish divergences)
โโ ๐ฃ Purple dashed (early warnings)
โโ ๐ก Yellow POC line (fair value)
โโ ๐ Blue/Orange profile (right side)
โโ ๐ข Green boxes (demand zones)
โโ ๐ด Red boxes (supply zones)
```
## โ๏ธ Recommended Settings
### 15m Day Trading (Most Popular)
```
๐ Profile:
- Lookback: 150 bars
- Profile Rows: 24
- Position: Right
๐ฏ POC:
- POC Lookback: 300 bars
- Show POC: ON
๐ฆ Zones:
- Min Absorption Ratio: 2.0
- HVN Threshold: 1.5
- Max Zones: 8
๐ Divergences:
- Pivot L/R: 9
- Early Warning: ON
- Early Right Bars: 3
- Min Bars Between: 40
- Min CVD Diff: 5%
```
### 5m Scalping
```
Profile Lookback: 100
POC Lookback: 200
Pivot L/R: 7
Early Warning Right: 2
Min Bars Between: 60
```
### 1H Swing Trading
```
Profile Lookback: 200
POC Lookback: 400-500
Pivot L/R: 12-14
Early Warning Right: 4-5
Min Bars Between: 30
Min CVD Diff: 8%
```
## ๐ก How to Trade
### Setup 1: Divergence at Zone โญ (BEST - 75%+ win rate)
**Entry:**
- Price hits demand/supply zone
- Divergence appears (early or confirmed)
- Double confluence = high probability
**Example (Long):**
```
1. Price drops into green demand zone
2. โ ๏ธ Early bullish divergence fires
3. Enter long with tight stop below zone
4. Target: POC or next supply zone
```
**Risk/Reward:** 1:3 to 1:5
---
### Setup 2: POC Bounce/Rejection
**Entry:**
- Price approaches POC line
- Wait for reaction (bounce or rejection)
- Enter in direction of reaction
**Long Setup:**
```
1. Price pulls back to POC from above
2. POC acts as support
3. Bullish divergence appears (confirmation)
4. Enter long, stop below POC
```
**Short Setup:**
```
1. Price rallies to POC from below
2. POC acts as resistance
3. Bearish divergence appears
4. Enter short, stop above POC
```
**Risk/Reward:** 1:2 to 1:4
---
### Setup 3: Zone + Profile Confluence
**Entry:**
- Supply/demand zone aligns with thick profile bar
- Shows high CVD activity at that level
- Triple confluence = very high probability
**Example:**
```
1. Supply zone at 26,100
2. Profile shows heavy selling at 26,100
3. Price rallies to 26,100
4. Bearish divergence appears
5. Enter short
```
**Risk/Reward:** 1:4 to 1:6
---
### Setup 4: Early Warning Scalp โก
**Entry (Aggressive):**
- โ ๏ธ Early warning fires
- Price at zone or POC
- Enter immediately
- Tight stop (1-2 ATR)
**Management:**
```
- Take 50% profit at 1:1
- Move stop to breakeven
- ๐ป Confirmed signal โ Trail stop
- Exit rest at target
```
**Risk/Reward:** 1:1.5 to 1:2
**Trades/day:** 3-8
---
### Setup 5: Multi-Timeframe (Advanced)
**Confirmation Required:**
```
Higher TF (1H):
- Confirmed divergence
- At major POC or zone
Lower TF (15m):
- Early warning triggers
- Entry with better timing
```
**Benefits:**
- HTF gives direction
- LTF gives entry
- Best of both worlds
**Risk/Reward:** 1:3 to 1:5
---
## ๐ Component Details
### CVD Profile
**What the colors mean:**
- **Blue bars** = Buying CVD (demand)
- **Orange bars** = Selling CVD (supply)
- **Lighter shade** = Value Area (70% CVD)
- **Thicker bar** = More volume at that price
**How to use:**
- Thick bars = Support/Resistance
- Profile shape shows market structure
- Balanced profile = range
- Skewed profile = trend
---
### Supply/Demand Zones
**How they're detected:**
1. High Volume Node (1.5x average)
2. CVD buy/sell ratio calculated
3. Ratio โฅ 2.0 โ Zone created
4. Sorted by strength (top 8 shown)
**Zone labels show:**
- Type: "Demand" or "Supply"
- Ratio: "2.8:1" = strength
**Not like other indicators:**
- โ Other tools use price action alone
- โ
This uses actual CVD absorption
- Shows WHERE limit orders defended levels
---
### Point of Control (POC)
**What it shows:**
- Price with highest CVD activity
- Market's "fair value"
- Dynamic S/R level
**How to use:**
- Price above POC = bullish bias
- Price below POC = bearish bias
- POC retest = trading opportunity
- POC cross = trend change signal
**Independent lookback:**
- Profile: 150 bars (short-term)
- POC: 300 bars (longer-term context)
- Gives stable, relevant POC
---
## ๐ง Settings Explained
### ๐ Profile Settings
**Lookback Bars** (150 default)
- How many bars for profile calculation
- Lower = more recent, reactive
- Higher = more historical, stable
**Profile Rows** (24 default)
- Granularity of distribution
- Lower = coarser (faster)
- Higher = finer detail (slower)
**Profile Position**
- Right: After current price
- Left: Before lookback period
- Current: At lookback start
**Value Area** (70% default)
- Highlights main CVD concentration
- 70% is standard
- Higher % = wider zone
---
### ๐ฏ POC Settings
**POC Lookback** (300 default)
- Independent from profile
- Longer = more stable POC
- Shorter = more reactive POC
**Show POC Line/Label**
- Toggle visibility
- Customize color/width
---
### ๐ฆ Zone Settings
**Min Absorption Ratio** (2.0 default)
- Buy/Sell threshold for zones
- 2.0 = 2:1 ratio minimum
- Higher = fewer, stronger zones
**HVN Threshold** (1.5 default)
- Volume must be 1.5x average
- Higher = stricter filtering
- Lower = more zones
**Max Zones** (8 default)
- Limits display clutter
- Shows strongest N zones only
---
### ๐ Divergence Settings
**Pivot Left/Right** (9/9 default)
- Bars to confirm pivot
- Higher = slower, more confirmed
- Lower = faster, less confirmed
**Early Warning**
- ON = Show early signals
- Early Right Bars (3 default)
- 3 = 6 bars faster than confirmed
**Filters:**
- Min Bars Between (40): Prevents spam
- Min CVD Diff % (5): Filters weak signals
**Visual:**
- Line styles: Solid/Dashed/Dotted
- Colors: Customize all 4 types
- Labels: Toggle ON/OFF
---
## ๐จ Color Customization
**Divergences:**
- Bullish Confirmed: Green (default)
- Bearish Confirmed: Red (default)
- Early Bullish: Purple (default)
- Early Bearish: Purple (default)
**Zones & Profile:**
- Bull/Demand: Green
- Bear/Supply: Red
- Buy CVD Profile: Blue
- Sell CVD Profile: Orange
- Value Area Up/Down: Lighter blue/orange
**POC:**
- POC Color: Yellow (default)
All customizable to your preference!
---
## ๐ Alerts Available
**6 Alert Types:**
1. ๐ป Bearish Divergence (confirmed)
2. ๐บ Bullish Divergence (confirmed)
3. โ ๏ธ Early Bearish Warning
4. โ ๏ธ Early Bullish Warning
5. (Manual: POC cross)
6. (Manual: Zone touch)
**Setup:**
1. Click Alert (โฐ)
2. Choose "CVD Zones & Divergence"
3. Select alert type
4. Configure notification
5. Create!
---
## ๐ Pro Tips
### From Experienced Traders:
**"Use zones with divergences for best setups"**
- Zone alone: 60% win rate
- Divergence alone: 65% win rate
- Both together: 75%+ win rate
**"POC is your friend"**
- Price tends to revert to POC
- Great target for counter-trend trades
- POC cross = potential trend change
**"Profile tells the story"**
- Thick bars = institutional levels
- Balanced profile = range-bound
- Skewed high = distribution (top)
- Skewed low = accumulation (bottom)
**"Early warnings for entries, confirmed for confidence"**
- Early = better entry price
- Confirmed = validation
- Use both in scale-in strategy
**"Filter by timeframe"**
- 1m-5m: Very fast, many signals
- 15m: Sweet spot for most traders
- 1H-4H: High quality, fewer signals
---
## ๐ง Tuning Guide
### Too Cluttered?
**Simplify:**
```
โ
Show Divergences: ON
โ
Show POC: ON
โ Show Zones: OFF (or reduce to 4-5)
โ Show Value Area: OFF
โ Divergence Labels: OFF
โ Clean chart with just lines + POC
```
### Missing Opportunities?
**More Signals:**
```
โ Pivot Right: 6-7
โ Early Warning Right: 2
โ Min Bars Between: 25-30
โ Min CVD Diff: 2-3%
โ Min Absorption Ratio: 1.8
```
### Too Many False Signals?
**Stricter Filters:**
```
โ Pivot Right: 12-15
โ Min Bars Between: 60
โ Min CVD Diff: 8-10%
โ Min Absorption Ratio: 2.5
โ Max Zones: 4-5
```
### POC Not Making Sense?
**Adjust POC Lookback:**
```
If too high: Increase to 400-500
If too low: Increase to 400-500
If jumping around: Increase to 500+
โ Longer lookback = more stable POC
```
---
## โ FAQ
**Q: Difference from CVD Divergence (standalone)?**
A: This is the **complete package**:
- Divergence tool = divergences only
- This = divergences + POC + profile + zones
- Use divergence tool for clean charts
- Use this for full analysis
**Q: Too slow/laggy?**
A: Reduce computational load:
```
Profile Rows: 18 (from 24)
Lookback: 100 (from 150)
Max Zones: 5 (from 8)
```
**Q: No volume data error?**
A: Symbol has no volume
- Works: Futures, stocks, crypto
- Maybe: Forex (broker-dependent)
- Doesn't work: Some forex pairs
**Q: Can I use just some features?**
A: Absolutely! Toggle what you want:
```
Zones only: Turn off divergences + POC
POC only: Turn off zones + divergences
Divergences only: Turn off zones + POC + profile
Mix and match as needed!
```
**Q: Best timeframe?**
A:
- **1m-5m**: Scalping (busy, many signals)
- **15m**: Day trading โญ (recommended)
- **1H-4H**: Swing trading (quality signals)
- **Daily**: Position trading (very selective)
**Q: Works on crypto/forex/stocks?**
A:
- โ
Futures: Excellent
- โ
Stocks: Excellent
- โ
Crypto: Very good (major pairs)
- โ ๏ธ Forex: Depends on broker volume
---
## ๐ Performance Expectations
### Realistic Win Rates
| Strategy | Win Rate | Avg R/R | Trades/Week |
|----------|----------|---------|-------------|
| Early warnings only | 55-65% | 1:1.5 | 15-30 |
| Confirmed only | 70-80% | 1:2 | 8-15 |
| Divergence + Zone | 75-85% | 1:3 | 5-12 |
| Full confluence (all 4) | 80-90% | 1:4+ | 3-8 |
**Keys to success:**
- Don't trade every signal
- Wait for confluence
- Proper risk management
- Trade what you see, not what you think
---
## ๐ Quick Start
**New User (5 minutes):**
1. โ
Add to 15m chart
2. โ
Default settings work well
3. โ
Watch for 1 week (don't trade yet!)
4. โ
Note which setups work best
5. โ
Backtest on 50+ signals
6. โ
Start with small size
7. โ
Scale up slowly
**First Trade Checklist:**
- Divergence + Zone/POC = confluence
- Clear S/R level nearby
- Risk/reward minimum 1:2
- Position size = 1% risk max
- Stop loss placed
- Target identified
- Journal entry ready
---
## ๐ What Makes This Special?
**Most indicators:**
- Use RSI/MACD divergences (lagging)
- Guess at S/R zones (subjective)
- Don't show actual order flow
**This indicator:**
- Uses real CVD (actual volume delta)
- Absorption-based zones (real orders)
- Profile shows distribution (real activity)
- POC shows equilibrium (real fair value)
- All from one data source (coherent)
**Result:**
- Everything aligns
- No conflicting signals
- True order flow analysis
- Professional-grade toolkit
---
## ๐ฏ Trading Philosophy
**Remember:**
- Indicator shows you WHERE to look
- YOU decide whether to trade
- Quality over quantity always
- Risk management is #1
- Patience beats aggression
**Best trades have:**
- โ
Multiple confluences
- โ
Clear risk/reward
- โ
Obvious invalidation point
- โ
Aligned with trend/context
**Worst trades have:**
- โ Single signal only
- โ Poor location (middle of nowhere)
- โ Unclear stop placement
- โ Counter to all context
---
## โ ๏ธ Risk Disclaimer
**Important:**
- Past performance โ future results
- All trading involves risk
- Only risk what you can afford to lose
- This is a tool, not financial advice
- Use proper position sizing
- Keep a trading journal
- Consider professional advice
**Your responsibility:**
- Which setups to trade
- Position size
- Entry/exit timing
- Risk management
- Emotional control
**Success = Tool + Strategy + Discipline + Risk Management**
---
## ๐ Version History
**v1.0** - Current Release
- CVD divergences (confirmed + early warning)
- Point of Control (independent lookback)
- CVD profile histogram
- Supply/demand absorption zones
- Value area visualization
- 6 alert types
- Full customization
---
## ๐ฌ Community
**Questions?** Drop a comment below
**Success story?** Share with the community
**Feature request?** Let me know
**Bug report?** Provide details in comments
---
**Happy Trading! ๐๐**
*Professional order flow analysis in one indicator.*
**Like this?** โญ Follow for more quality tools!
BTC - RVPM: Run Velocity & Probability MapBTC โ RVPM: Run Velocity & Probability Map | RM
Strategic Context: Understanding Price Runs
A "Price Run" (also known as a streak or consecutive sessions) is a foundational concept in time-series analysis that measures the duration of a price movement without a significant counter-signal. While common indicators like RSI or MACD measure magnitude or momentum, they often ignore the Persistence of the trend. Historically, markets move through cycles of expansion and mean-reversion. A Price Run represents a period of "Unidirectional Flow" โ a fingerprint of institutional accumulation or systematic distribution. However, standard "run-counting" is often too simplistic for the volatile crypto markets.
What Makes RVPM Special?
Most community run-counters are binary; they simply tell you if X days were green or red. The RVPM distinguishes itself through three proprietary layers:
โข The Intensity Filter: It doesnt just count days; it counts effort . By ignoring "flat" days through a percentage-return threshold, it filters out noise that would otherwise skew the statistical probability.
โข Dynamic Benchmarking: Instead of using an arbitrary number (like "7 days"), the RVPM looks back at 200 bars of history to find the local "Persistence Ceiling." It adapts to the current volatility regime of Bitcoin.
โข The Velocity Score: It transform simple counts into a -100 to +100 histogram, allowing traders to see momentum "decaying" (e.g., dropping from 90 to 70) even if the price continues to rise.
The 3 Pillars of the Engine
1. Velocity Mapping (Persistence Histogram)
The histogram calculates the density of directional effort within a defined window. It functions as the "Pulse" of the trend, mapping market behavior into three distinct zones:
โข High Velocity Zone (> 80 or < -80): Institutional Expansion. This identifies a "clean" move where one side of the market possesses total structural control. In this zone, the trend is efficient, and counter-signals are immediately absorbed.
โข The Neutral Zone (Near Zero): Momentum Equilibrium. When the histogram fluctuates near the zero line, the market is in a "Recharge Phase." Neither bulls nor bears are achieving persistent dominance. Tactically, this is the "Waiting Room" where range-bound chop is likely, and traders should wait for a new "Expansion" spike before committing.
โข Velocity Decay: The Exhaustion Warning. Velocity Decay occurs when the indicator moves from an extreme (e.g., +95) back toward the zero line (e.g., +50) while the price is still rising. This is a "Persistence Divergence." It tells you that while the trend is still moving, the consistency of the bars is fragmenting. The "fuel" is being depleted, and the trend is transitioning from an "Institutional Expansion" into a "Speculative Exhaustion."
2. n-of-m Consistency (The Pips)
The "Pips" (Circles) mark when a specific consistency threshold is met (e.g., 5 out of 7 bars in one direction). This identifies "Leaky Trends" that are still statistically dominated by one side of the ledger.
3. Statistical Exhaustion (The Arrows)
The Dark Red (Top) and Dark Green (Bottom) triangles represent the engine's "Mean-Reversion Signal." The calculation is based on a Relative Maximum Streak (RMS) logic: the script tracks the current linear, consecutive bar count (ignoring bars that fail the Intensity Filter) and continuously benchmarks this against the highest streak recorded over the last 200 bars ( ta.highest(streak, 200) ). The triangles are triggered specifically when the current run reaches 80% of this historical record (the "Anomaly Threshold"). Mathematically, this identifies a move that is statistically pushing against its half-year limit. By using this dynamic threshold rather than a fixed number, the "Extreme" signal automatically tightens during low-volatility regimes and expands during high-volatility expansions, ensuring the signal only appears when the "statistical rubber band" is at a true breaking point.
Operational Interface: The RVPM Dashboard
The Status Dashboard (Top Right) serves as a real-time monitor for momentum health, providing a clean summary of the underlying persistence data:
โข Current STREAK: The active, consecutive count of bars meeting the Intensity Filter. It is dynamically color-coded (Cyan/Bullish or Red/Bearish) to provide an instant read on trend seniority.
โข WINDOW Consistency: Measures the Momentum Density (the n-of-m value). A value of "6" in a "7-bar" window indicates a high-conviction regime that is successfully absorbing pullbacks without losing its primary trajectory.
Tactical Playbook: The Mean-Reversion Rule
Price action typically follows a "Rubber Band" effect. The further it is stretched without a break, the more "unstable" the trend becomes as the pool of available buyers or sellers is depleted.
โข The Setup: Wait for the Triangle Arrows to appear.
โข The Logic: The move has reached a 200-day anomaly. A "Liquidity Vacuum" is forming on the opposite side.
โข The Action: This is a high-probability Mean-Reversion signal. It is a tactical time to take profits or look for a sharp snap-back move toward the 20-period moving average or the "Institutional Mean."
Settings & Parameters
โข Window Length (m): The lookback window used to calculate the Velocity Score.
โข Required Days (n): The minimum number of directional bars needed within the window to trigger a "Consistency Pip."
โข Intensity Filter (%): The minimum % change required for a bar to be counted toward a run.
โข Lookback Period: The historical window (Default: 200 bars) used to calculate the "Maximum Streak" records for exhaustion alerts.
Timeframe Recommendation
The RVPM is best viewed on the Daily (1D) timeframe. This filters out intraday noise and provides the most reliable statistical mapping for macro exhaustion points.
Credits & Verification
The RVPM logic aligns with institutional "Persistence" models and Glassnode's Price Stretch benchmarks. By benchmarking against a rolling 200-day window, the indicator automatically adapts to changing market volatility.
Risk Disclaimer & No Financial Advice
The information, data, and analytical models provided in this publication are for educational and informational purposes only. This script does not constitute financial, investment, or trading advice. Trading cryptocurrencies and other financial instruments carries a high degree of risk, and statistical anomalies or "Extreme Runs" do not guarantee future price action. Past performance is never indicative of future results. Every trader is responsible for their own due diligence and risk management. Rob Maths and the associated entities are not liable for any financial losses incurred through the use of this tool. Always consult with a certified financial professional before making significant investment decisions.
Tags:
bitcoin, btc, persistence, streaks, price-runs, momentum, mean-reversion, exhaustion, Rob Maths
