LSE Chrono-Behavior Forecast🎯 ANTICIPATE THE MOVE. TRADE THE EDGE.
The Chrono-Behavior Forecast is a revolutionary forward-looking indicator that projects future market behavior and reversal points directly onto your chart. Unlike traditional indicators that are based on lagging data, this indicator shows you what's coming next.
📊 WHAT MAKES THIS DIFFERENT
While most indicators look backward at historical price action, the Chrono-Behavior Forecast does the opposite: it plots a non-repainting forecasted line that projects market timing, behavior, and reversals for up to 24 hours into the future.
All forecasts are generated BEFORE market open - no curve fitting, no hindsight bias, no repainting. What you see is pure forward-looking analysis.
⚡ KEY FEATURES
• Non-Repainting Forecasts - The forecasted line never changes after it's plotted. What you see is what you get.
• Any Asset Class - Works on stocks, futures, forex, crypto, commodities - any tradable instrument. Place this indicator on any chart and see our forecasted line plotted right on it.
• Any Intraday Timeframe - Optimized for day trading timeframes from 1 second to 6 hours. Use shorter timeframes (1-5 min) for quick scalps, longer timeframes (15 min - 6 hr) for more deliberate entries.
• Battle-Tested - We trade these same indicators ourselves. Your success is our success.
🔬 THE METHODOLOGY
The Chrono-Behavior Forecast is the culmination of over two decades of intensive research into the hidden mechanics of market movement. We've moved beyond standard technical analysis to uncover the specific, repeatable forces that drive market behavior.
Market Energy Analysis - Our proprietary algorithm analyzes decades of historical data to decode how global exchanges influence specific asset classes over time.
Energy Forecasting - We forecast the future energy that markets are expected to exert, mapped to precise time windows throughout your trading session.
Behavioral Footprints - By mapping these "behavioral footprints" against time, we predict market impacts and reversals well before they manifest.
📈 HOW TO USE
• Identify Future Reversal Points - Use the forecasted peaks and valleys to anticipate market turning points.
• Time Your Entries & Exits - The forecast gives you the foresight to time your trades with confidence.
• Combine Multiple Markets - Layer multiple Chrono-Behavior Forecasts on a single chart to see how competing market forces converge to drive price action.
⚠️ IMPORTANT NOTES
• Best used for intraday trading on timeframes between 1 second and 6 hours.
• As with day trading in general, exercise caution during high market volatility events (e.g., NFP, FOMC announcements) and the first few minutes after US market open.
• We have forecasting indicators for 28 global exchanges including NYSE, NASDAQ, CME, LSE, TSE, SSE, and more - that can be applied to ANY chart.
🌐 CURRENTLY AVAILABLE EXCHANGES
USA: NYSE, NASDAQ, CME, ICE, CBOE
UK: LSE
Europe: Euronext, Deutsche Börse, Swiss Exchange, Nasdaq Nordic, Spanish Exchanges
Asia: TSE, SSE, SZSE, HKEX, NSE India, TWSE, KRX, SGX, SET, Bursa Malaysia, IDX
Other: TSX, TASI, ASX, JSE, ADX, B3
Custom exchange forecast development available upon request.
Forecasting
Reversal Signal MSB GRAFIXWhat it does:
This indicator uses Bollinger Bands smoothed with a Kalman filter for LTF (low timeframe) and selectable HTF (high timeframe) Bollinger Bands. It generates reversal (long/short) signals based on the relationship between HTF and LTF, displays large triangles on the chart upon signaling, and optionally creates automatic TP1, TP2, and SL lines.
Features:
MTF (multi-timeframe) HTF Bollinger cores (with request.security)
Middle line with Kalman filter for LTF
Volume-based gradient fill option
Buy/sell triangles (enlarged, bar top/bottom position)
Adjustable TP1, TP2, and SL percentages; lines extend to the right
TP/SL line enable/disable, line thickness and extension length settings
Alert support
Contrarian Entry SystemContrarian Entry System - Opportunity Detection
The Contrarian Entry System identifies potential entry and exit opportunities based on multi-factor oversold and overbought conditions. It uses a staged approach combining momentum, trend strength, and price action analysis to detect situations where assets may be positioned for reversal.
Important: This indicator is designed for awareness and information purposes only. Signals are NOT intended for blind buying or selling. They highlight situations worth investigating further. The final decision must always be made by the trader using additional analysis, context, and other indicators.
Signal Philosophy
This system operates on contrarian principles - looking for opportunities when market sentiment reaches extremes. However, contrarian signals can be misleading:
In Downtrends: Entry signals may appear during temporary bounces within a larger decline. What looks like an oversold bounce opportunity could be a "falling knife" scenario.
In Strong Uptrends: Exit signals may trigger prematurely during healthy corrections that don't actually threaten the trend.
Context Matters: Always confirm signals with broader market analysis, sector performance, and fundamental factors.
Signal Types
Entry signals - three tiers based on oversold depth:
Good Entry (Green): Deep oversold with multiple factors at extremes - strongest signal
Nice Entry (Blue): Moderate oversold conditions detected
Maybe Entry (Orange): Early-stage detection - higher uncertainty
Exit signal (Red) - triggers when multiple overbought conditions are met and momentum shows exhaustion.
Signals appear semi-transparent when price is below the exit SMA, indicating higher-risk conditions.
SMA Exit Protection
Optional cascading SMA-based exit system:
Configurable primary SMA level (9, 21, 50, or 200)
Automatic fallback to longer SMAs if price never rises above primary
Provides downside protection during extended declines
Can be disabled by selecting "None"
Position Filter
When enabled (default), prevents multiple entry signals between exit signals. This helps avoid overtrading and averaging down into losing positions.
Multi-Timeframe Support
Signal calculations can be performed on a different timeframe than the chart:
Empty setting uses chart timeframe
Higher timeframe provides broader perspective signals
Useful for confirming signals across multiple views
Alert System
Configurable alerts for:
Any entry signal (combined)
Good Entry specifically
Nice Entry specifically
Maybe Entry specifically
Exit signals
Best Practices
Before Acting on Entry Signals:
Check the broader trend - is this a pullback in an uptrend or a bounce in a downtrend?
Review volume patterns - is there buying interest?
Consider sector and market conditions
Look at support/resistance levels
Evaluate fundamental factors if applicable
Risk Management:
Never use signals as sole decision criteria
Consider position sizing based on signal strength
Use the SMA exit feature as a safety net
Be especially cautious with Maybe entries
Semi-transparent signals (below SMA) warrant extra scrutiny
When to Ignore Signals:
Strong downtrends with no sign of reversal
News-driven selloffs with ongoing uncertainty
Low liquidity periods
When signals conflict with higher timeframe analysis
This indicator is designed for educational and analytical purposes. Signals indicate potential opportunities that require further analysis - they are not trading recommendations. Past performance does not guarantee future results. Always conduct thorough research and use proper risk management. Consider consulting with financial professionals before making investment decisions.
Strategy #3 Stacking Signals [Rider Algo]Strategy #3 — Stacking Signals — Description (TradingView)
Overview
Strategy #3 is a confirmation/stacking indicator that highlights moments when multiple bullish or bearish signals cluster within a short period.
It is designed to help you spot higher-conviction setups by requiring signal confluence instead of reacting to a single trigger.
What it Detects
The indicator monitors three signal sources and checks if 3 or more signals of the same direction occurred within a rolling window (default 10 bars ):
Bullish cluster sources
Attention/Warning bullish condition
Bullish SS condition
Bullish SS condition
Bearish cluster sources
Attention/Warning bearish condition
Bearish SS condition
Bearish SS condition
When the minimum count is reached inside the selected window, it prints a label:
“Strat. #3” (Bullish) below the candle
“Strat. #3” (Bearish) above the candle
To avoid noise, it triggers only once per cluster event (it will not print on every bar while the condition remains true).
Inputs (Settings)
Show Strategy #3 Indicator : Enables/disables Strategy #3 signals.
Cluster window (bars) : Number of bars used for the rolling count (default 10 ).
Min signals in window : Minimum signals required to trigger (default 3 ).
Solo Cluster (hide others) : Hides other visual elements and leaves only Strategy #3 on the chart (Strategy #3 remains fully functional).
Alerts
Two alert conditions are included:
Strategy #3 – Bullish Cluster
Strategy #3 – Bearish Cluster
Use them to receive notifications the moment a new cluster event is detected.
How to Use
Bullish “Strat. #3” suggests stacked bullish confirmations in a short time window ( potential continuation or reversal depending on context ).
Bearish “Strat. #3” suggests stacked bearish confirmations in a short time window.
For best results, combine with market structure , key levels , and a defined risk plan .
Practical Use (How I would use Strategy #3)
I use Strategy #3 to identify potential reversal waves after an extended trend, but not as a standalone signal .
Its strength is highlighting short-term counter-moves driven by stacked confirmations.
1) Reversal timing after a long trend
When an asset has been trending for a long time, a “Strat. #3” print can suggest exhaustion + a probable opposing impulse (a reversal wave).
This does not guarantee a full trend change—only an increased probability of a meaningful move in the opposite direction.
2) Confluence with higher timeframes
Before acting, I confirm alignment with:
Higher timeframe structure (HTF support/resistance, HTF trend condition)
Whether the market is extended from key HTF areas
If HTF conditions support the idea, Strategy #3 becomes significantly more actionable.
3) Confirmation with the leading asset / market context
For altcoins, I confirm with the leading asset (e.g., Bitcoin ):
If ADA prints Strategy #3 bullish, I check whether BTC is holding support or stabilizing.
If BTC is defending a key level and Strategy #3 prints on the alt, the probability improves.
4) Profit-taking tool (partial exits)
I also use Strategy #3 for partial profit-taking when I am holding an asset:
After a strong move, a Strategy #3 signal can indicate a counter-wave is likely.
I take partial profits , not a full exit, because the indicator is designed to anticipate a push against the current move, not a confirmed macro trend reversal.
5) Confirming a true trend change (use other tools)
To evaluate whether the reversal wave becomes a real trend shift, I rely on additional confirmation tools—e.g., Moving Average Master (Rider Algo #2) —instead of expecting Strategy #3 to predict an absolute trend reversal on its own.
VP-PeriodVP-Period (VPOC S/R + 2 Strongest Levels) — Optimized
A clean, volume-based support & resistance map built from real traded activity.
VP-Period is a Volume Profile (VPOC) indicator that analyzes the last N days and finds the price level where the most volume was traded (VPOC — Volume Point of Control). From those VPOC levels, it automatically filters and displays the 2 strongest Support zones (BUY) and 2 strongest Resistance zones (SELL) closest to the current price — giving you a simple, high-signal “price roadmap” without clutter.
✅ Key Features
1) VPOC over N Days (True Volume Profile logic)
Builds a volume distribution across price bins (high resolution) to identify the dominant traded price.
VPOC often behaves like a magnet level, a pivot, and a high-probability reaction zone for pullbacks and retests.
2) “2 Strongest S/R” Auto Filter (Clean & Practical)
Instead of drawing dozens of levels, VP-Period selects only what matters:
2 nearest Supports below price → BUY▲ zones
2 nearest Resistances above price → SELL▼ zones
Uses a confirmed-bar reference close so zones don’t jump around during a live candle (more stable, less noise).
3) Session POC (Tokyo / London / New York) — Real-Time
Calculates and plots Session POC (the most traded price within each session) while the session is running.
Perfect for traders who operate around Tokyo range, London expansion, and NY continuation/reversal behavior.
4) Session Profile Bias Table (UP / DOWN / NEUTRAL)
Tracks recent Session POC shifts and summarizes the session profile as:
UP → POC shifting higher (bullish pressure)
DOWN → POC shifting lower (bearish pressure)
NEUTRAL → no clear shift (choppy/range conditions)
🎯 How It Helps You Trade Better
Stop chasing price: Wait for price to come into BUY/SELL zones based on real volume acceptance.
Higher-quality entries: Use these zones as retest/reversal areas with your confirmation (candles, RSI, structure, etc.).
Smarter targets & risk: VPOC/POC levels provide natural TP/SL references (mean reversion targets, reaction zones, pivots).
Better session context: Session POC + Bias helps you trade with the session “story” instead of guessing.
Best For
Gold (XAUUSD) & Forex intraday traders
Traders who want clean S/R (only the strongest levels, no clutter)
Session-based traders: Tokyo / London / New York
World sessionsThe indicator highlights trading sessions of major global exchanges (Tokyo, Hong Kong, Frankfurt, London, New York, Chicago).
It highlights them with horizontal dashed lines from the start to the end of each session. At the session start, it draws a label with the exchange name above the bar, with adjustable height based on ATR.
With gratitude to God the Father, the Lord Jesus Christ - the Son of God, and the Holy Spirit.
// © icman — ic380.com
// Open Source: исходный код открыт (MPL-2.0)
Engulfing Reversal PatternThe Engulfing Reversal Pattern indicator seeks out both bullish and bearish reversal patterns. This indicator offers the user numerous options to modify the indicator to their needs.
Key features:
Ability to adjust the size of the Engulfing candle in comparison to the prior candle
Ability to adjust the number of breakout candles
Indicator adapts to the Time Frame it is being used in
You can choose between identifying only Bearish patterns, only Bullish patterns or both.
Indicator Arrow size can be adjusted in size.
Enterprise Adaptive RSI WeightDescription (TradingView)
Enterprise Adaptive RSI Weight is a clean, decision-support oscillator for XAUUSD & EURUSD (5m/15m).
It converts RSI into a normalized Weight (W) and smooths it with a Hull Moving Average (yellow) to highlight trend bias + momentum shifts.
What to watch
W (main line) = bias & momentum (above 0 = bullish, below 0 = bearish)
Yellow line (HMA) = signal filter
CROSS (W ↔ HMA) = key confirmation point
CROSS ↑ = bullish momentum confirmation
CROSS ↓ = bearish momentum confirmation
Built-in safety filters (enterprise-style)
Signals are filtered by:
Quality/Gate (model confidence)
Dead Zone (avoids weak/noise signals)
Optional HTF alignment (trade only when higher timeframe agrees)
Visual markers
L / S = entry triggers (valid cross + filters)
XL / XS = momentum exit warnings
0↑ / 0↓ = bias flip (crossing the 0 line)
REV = exit from extreme zones (OB/OS reversal hint)
STR = strong trend condition
How to use (simple workflow)
Check STATE in the panel: trade only BULL or BEAR
Enter on CROSS in the same direction
Manage/exit on XL/XS or loss of momentum
Tip: Best used as a confirmation tool, not as a standalone strategy.
Kotobcap Market Regimes.Kotobcap Market Regimes — Description
This indicator identifies market bias (Bull / Bear) using a mechanical structure break approach and tracks how often that bias was “correct” historically.
What it plots
Bias background:
Teal = Bull regime
Red = Bear regime
Pivot dots: swing highs/lows based on the selected swing length (3 / 5 / 9 / custom).
Shift dots (black): the candles where a regime shifts from Bull→Bear or Bear→Bull.
Break-level line (optional): a horizontal line from the pivot level to the shift candle (pivot-based shifts only).
Engulf diamonds (optional): when Engulf mode is set to WARNING, large ADR-filtered engulf candles are marked.
How bias is calculated (core logic)
The script finds confirmed swing pivots (pivot highs and pivot lows).
A Bull shift occurs when price closes above the most recent pivot high.
A Bear shift occurs when price closes below the most recent pivot low.
Bias stays the same until the next opposite shift.
Engulfing option (ADR20 filter)
Engulfing uses the daily ADR20 to filter only “large” candles:
A candle qualifies if its range is greater than engMult × ADR20.
If Engulf mode is:
OFF: ignored
WARNING: plotted as diamonds only (does not change bias)
EARLY SHIFT: can trigger a regime shift earlier than a pivot break
Performance statistics (shift-to-shift regimes)
A regime is the period between two shifts (shift → next shift).
A regime is counted as correct if price moved in the direction of the bias by the time the next shift happened.
The dashboard shows:
Hit (Regime): total correct regimes ÷ total regimes
(regime-weighted accuracy)
Hit (YearAvg): average of each year’s hit rate
(each year weighted equally; includes current year YTD if it has completed regimes)
Hit (MedianYr): median of yearly hit rates
(outlier-resistant “typical year” accuracy)
Hit (YTD only): current year only (shows n/a until at least one regime ends this year)
Reg/Yr + Regimes: how frequently regimes flip and the sample size
YearsTotal / WithData / Missing: coverage and how many years had enough data to score
Excl bars: % of candles excluded due to start date and/or flat-candle filtering
Data filters
Start Date: limits analysis to newer data (useful when older data is unreliable).
Ignore flat candles: excludes zero-range / flat candles from calculations.
Enhanced Macro-FX Predictor Pro+The Enhanced Macro-FX Predictor Pro+ is a sophisticated macroeconomic analysis tool designed for long-term currency forecasting. It integrates Commitment of Traders (COT) data, multi-model ensemble predictions, and dynamic market regime detection to provide comprehensive forex insights.
1. Core Methodology
The indicator operates by analysing the fundamental health of the US economy and comparing it against six major currencies.
US Score Calculation: Synthesises 15+ data points including GDP, Non-Farm Payrolls, Real Interest Rates (Fed Funds - CPI), and the Yield Curve.
Currency Specific Analysis: Each currency is scored based on its specific momentum, risk sensitivity (Beta), and correlation to commodities (e.g., AUD and CAD with Oil).
Enhanced COT Analysis: Unlike standard indicators, this uses a momentum-based COT index that detects "extremes" in commercial positioning to identify potential reversal zones.
2. Key Interface Elements
Market Regime Indicator
The system constantly monitors market volatility (VIX), growth (GDP), and monetary trends to categorize the environment:
RISK_ON / RISK_ON_MODERATE: Signals environment favorable for growth-sensitive pairs (AUD, GBP).
RISK_OFF / RISK_OFF_MODERATE: Indicates safe-haven dominance (USD, JPY, CHF).
NEUTRAL: Balanced market conditions.
Confidence Scoring (Conf%)
Every prediction includes a confidence percentage (30% to 98%) calculated based on:
Trend Alignment: Consistency across short, medium, and long-term trends.
Model Accuracy: Real-time error tracking of the ensemble models.
Regime Clarity: Strength of the current market regime signal.
Dynamic Position Sizing (Size)
The "Size" column provides a recommended weight (0.1x to 3.0x) based on prediction strength, confidence level, and current market volatility.
3. How to Use Settings
⚙️ Core Settings
Prediction Period (Days): Set your horizon (default 63 days). Longer horizons naturally decrease confidence scores.
Use Enhanced Ensemble: When enabled, the tool uses three different mathematical models (Linear Regression, EMA, and Momentum) to generate a consensus.
📈 Enhanced COT Settings
COT Base Weight: Controls how much the Commitment of Traders data influences the final currency score (default 30%).
Extreme Positioning Boost: Multiplies the signal strength when "Smart Money" reaches historical extremes.
🤖 Model Settings
Volatility Adjustment: If enabled, the indicator automatically smooths signals during high-volatility periods to prevent "saw-toothing" or false breakouts.
4. Understanding Signals
Signals: Meanings : Action
STRONG_BUY/SELL: High magnitude divergence between current and predicted strength. : Primary trade opportunities.
BUY/SELL: Moderate trend strength. : Confirmation of existing trends.
LOW_CONF : Confidence score is below your "Min Confidence %" setting. : Avoid taking new positions.
NEUTRAL: Little to no divergence in macro models. : Stay on the sidelines.
5. Risk Management & Performance
Adaptive Weights: The script automatically shifts its focus (e.g., emphasizing Inflation data when CPI is high) to mirror real-world central bank priorities.
Target and Pips: The target price is a projection based on macro-divergence; it is intended as a directional guide rather than a precise take-profit level.
Note: This tool is designed for daily (D), weekly (W), or monthly (M) timeframes for maximum accuracy.
Retracement Opportunity Radar (Trend Pullback)A momentum-based indicator designed to highlight high-probability pullback opportunities within an existing trend. It filters out noise and focuses on temporary counter-moves—helping traders spot potential re-entry zones where price is more likely to resume the dominant trend rather than reverse. Ideal for timing entries with trend continuation, not tops or bottoms.
Intermarket Divergence (Futures vs Equity)Intermarket Divergence (Futures vs Equity)
This indicator detects intermarket divergence between a traded instrument (futures, CFD, or spot) and a related equity or ETF.
It highlights moments where price and its underlying market drivers disagree, often appearing before reversals or expansions.
🎯 What It Shows
Bullish divergence:
Price makes a lower low while the equity makes a higher low
Bearish divergence:
Price makes a higher high while the equity makes a lower high
Based on swing pivots, not candle noise
Designed for intraday context, not mechanical entries
✅ Recommended Use
XAUUSD (Gold) → GDX (default)
XAGUSD (Silver) → SIL
USOIL / WTI → XLE
(These guidelines are included directly in the indicator settings.)
🧭 How to Use
Apply on 15m–30m
Look for signals near key levels (PDH/PDL, Asia high/low, HTF structure)
Use price action for entries
Divergence is context, not a signal.
⚠️ Notes
Non-repainting
Signals are selective by design
Best during London & New York sessions
CISD Projections [LuxAlgo]The CISD Projections tool automatically plots mechanical price projection targets based on fractal market structure and swing manipulation legs. These projections offer dynamic, statistically informed targets that align with how prices tend to expand after a reversal point is confirmed.
🔶 USAGE
Projections are mechanical target levels derived from the manipulation leg following a confirmed change in state of delivery (CISD). They estimate where price is most likely to travel next by applying extended Fibonacci projection levels off the swing that initiated the move.
The tool works in the following way:
1. Detect the reversal bar that signals a shift in delivery.
2. Identify the manipulation leg: the swing that caused the reversal.
3. Anchor projections from this leg using customized Fibonacci levels such as 1, 2, 2.5, 4, 4.5 — each representing a potential target based on leg size and market expansion expectation.
For a correct target interpretation:
Average-sized legs often target between 2 and 2.5 levels.
Expanding legs may reach 4 to 4.5.
Large manipulation legs may warrant conservative expectations, focusing on 1 target.
As we can see in the image, traders must be aware of current market conditions and manipulation leg size in order to decide which levels to target and ask the right questions: Is volatility contracting or expanding? Is this manipulation leg smaller or larger than the previous ones?
Ultimately, projections provide objective, mechanical targets rather than subjective guesswork. They can be used on their own or in conjunction with liquidity zones, CISDs, and structural levels. They also help identify realistic price targets based on measured swing magnitude.
🔹 Filtering Setups
The chart shows how the output is affected by different filtering options:
Bars Threshold: show setups with a minimum number of bars in the manipulation leg.
CISD Filter: show setups only at the top or bottom of the range for the last X bars.
Invalidate CISDs on CHoCH: setups stop expanding after the first close beyond the manipulation leg.
We can obtain more meaningful setups with larger filter values by filtering the setups, or we can zoom in on details at the trader's discretion by disabling all filters.
🔶 SETTINGS
Bars Threshold: Minimum number of bars of each setup.
CISD Filter: Enable or disable the filter and select the length. This filter identifies setups at the top or bottom of the range over the last X bars.
Invalidate CISDs on CHoCH: Stop the level extension on ChoCH against CISD. This occurs when there is a close below the bottom on bullish setups and a close above the top on bearish setups.
🔹 Projections
Enable or disable each projection, select the projection level, and choose a style.
🔹 Style
CISD Level: Enable or disable CISD price level and select style.
Labels size: Select the size of the labels.
Bullish Color: Select a color for bullish setups.
Bearish Color: Select a color for bearish setups.
Background Fill: Enable or disable the background fill between the price and the extreme projection.
Hurst Intraday Cycles & FLDHurst Intraday Cycles & FLD: A Day Trader’s Guide
Overview
This indicator adapts the legendary market cycle theories of J.M. Hurst specifically for intraday day trading. While Hurst’s "Nominal Model" is traditionally applied to daily and weekly charts (the 20-day, 40-day, and 18-month cycles), this script applies the principle of Harmonicity to decompose those rhythms into the "Sub-Nominal" cycles that drive the trading day: the 80-minute and 40-minute rhythms.
What is the FLD (Future Line of Demarcation)?
The FLD is the core "signal generator" in Hurst’s toolset. It is the median price shifted forward in time by exactly half the length of the cycle you are tracking.
The Logic: If a cycle is bottoming, the price will cross above the FLD. If a cycle is peaking, the price will cross below it.
The Advantage: Unlike traditional moving averages that "lag" price, the FLD acts as a projected boundary. When price interacts with an FLD that is shifted into the "future," it provides a more reliable confirmation of a structural trend change.
Key Features
Multi-Cycle Tracking: Automatically tracks the Primary (80m) and Secondary (40m) intraday cycles.
Adaptive Timeframes: The script automatically calculates the bar-count for your cycles whether you are on a 1-minute, 5-minute, or 15-minute chart.
Future Projections: Draws vertical dashed lines into the future to mark the expected "Time Windows" for the next cycle troughs (lows).
Trend Dashboard: A real-time status box indicating the current bias (Bullish/Bearish) and confirming your chart’s timeframe settings.
How to Trade with this Indicator
1. The FLD Cross (Entry Signal)
The most common way to use this script is to look for a Price/FLD Interaction.
Bullish Entry: Wait for the price candle to close above the blue (Primary) FLD line. This suggests the 80-minute cycle has bottomed.
Bearish Entry: Wait for the price candle to close below the blue FLD line. This suggests the 80-minute cycle has peaked.
2. Harmonic Nesting (High Probability)
A "Nested Low" occurs when multiple cycles bottom at the same time.
The Setup: Look for moments where the Price crosses both the Orange (40m) and Blue (80m) FLD lines simultaneously. This indicates a powerful surge in momentum.
3. Time Projections (Exits & Prep)
Use the vertical dashed lines to anticipate volatility.
If you are in a Long position and price is approaching a vertical "Projection Line," be prepared for a potential cycle trough (a dip or reversal).
These lines represent the "Rhythm" of the market; they are not exact price targets, but "Time Targets."
Recommended Settings
For standard equity markets (6.5-hour sessions), we recommend:
Primary: 80 Minutes
Secondary: 40 Minutes
Best Charts: 1-minute, 2-minute, or 5-minute.
Why this works
Markets are not random; they are governed by human behavior, which repeats in rhythmic waves. By using Hurst's mathematical approach to shift price data, we can filter out market "noise" and focus on the underlying structural vibrations of the trading day.
Disclaimer: No indicator is a crystal ball. Always use proper risk management and wait for candle closes to confirm FLD breaks.
SMART REVERSAL MATRIX V.7The Smart Reversal Matrix indicator is designed to identify high-probability market reversal zones by combining Price Action, Momentum Filters, and the Price pattern structure.
This tool helps traders visualize potential Buy (bullish) and Sell (bearish) turning points with dynamic market structure mapping.
It’s suitable for scalpers, swing traders, and day traders who want a clear visual confirmation of reversals in trend direction.
⚠️ Disclaimer
This indicator is a technical analysis tool, not financial advice.
Always confirm signals with your own strategy and risk management rules before trading live markets.
Overnight QQQ/ NQ Auto LevelsUsing QQQ Overnight pricing to have correct levels on the NQ Future Chart.
Pre-Market PillarsIndicators that displays where to enter and exit on pre market and low cap stocks.
Inspired by Ross Cameron strategy.
VIX Expiration + Month Turn MarkersThis script mark the VIX option expiration dates and the turn on=f the month dates from 2021 to 2026
There can be increased volatility in the market at these dates or +- 3 days from those dates.
Support Resistance-Session Box Breakout Support Resistance-Session Box Breakout สามารถใช้แนวรับแนวต้านจากSupport Resistance-Session Box หาจุกลับตัวหรือหาจุดเข้าเทรดได้
VIXO - VIX OscillatorVIXO (VIX Oscillator) is a volatility oscillator built from the CBOE Volatility Index (symbol: TVC:VIX). It helps visualize volatility regime shifts by combining a smoothed VIX RSI with a normalized VIX momentum component, plus a VIX histogram that becomes more/less prominent depending on how far VIX is from its moving average. It helps you assess whether market conditions may be approaching rare but powerful squeeze phases.
WHAT THIS INDICATOR PLOTS
1) VIX RSI (cyan line)
- RSI is calculated on the VIX close and then smoothed (SMA) to reduce noise.
- Use it to observe short-term momentum in volatility rather than price.
2) VIX Normalized Momentum (gray line)
- Momentum is measured as ROC (rate of change) of the VIX close.
- That ROC is normalized to a 0–100 scale using a rolling lookback window:
- 50 is the midpoint of the recent momentum range (neutral within the selected window).
- Values near 0/100 indicate momentum near the low/high of that lookback window.
3) VIX Value Bars (histogram)
- Histogram shows the raw VIX value.
- Bar visibility is dynamically adjusted (transparency changes) based on the ratio of VIX to its 21-period SMA:
- When VIX is close to its MA, bars are more transparent.
- When VIX deviates more from its MA (within a capped range), bars become more visible.
- If VIX High is below 30, the script intentionally keeps bars fully transparent to reduce visual clutter.
LEVELS (REFERENCE ONLY)
The horizontal levels are visual guides to help segment oscillator zones. They are not guarantees and should not be treated as standalone trade signals:
- 80: “Panic of Market”
- 60: “VIX says BUY” (label only; not financial advice)
- 50: “Neutral / Momentum Mid”
- 40: “Get Ready”
HOW TO USE
- Apply VIXO to any chart. The indicator always pulls TVC:VIX data, regardless of the chart symbol.
- Typical interpretation:
- Rising VIX RSI and/or rising normalized momentum can indicate increasing volatility pressure.
- Falling readings can indicate volatility easing.
- Compare changes in VIXO with your chart’s price structure, trend filters, or risk management framework.
INPUTS
- RSI Length: RSI period on VIX close (smoothed afterward).
- Momentum Length: ROC period on VIX close.
- Momentum Normalization Lookback: window used to scale ROC into 0–100.
DATA & BEHAVIOR NOTES
- Data source: request.security("TVC:VIX", timeframe.period, OHLC).
- The script does not use lookahead to access future data.
- On realtime bars, values can update while the current bar is forming; historical bars remain fixed once closed.
- Availability of TVC:VIX data depends on your TradingView data access.
IMPORTANT DISCLAIMER
This indicator is provided for educational and informational purposes only and does not constitute financial, investment, or trading advice. It does not predict the future, does not guarantee results, and should not be used as the sole basis for any trading decision. Always validate signals with additional analysis and use appropriate risk management.
MACD Histogram Expansion Alerts (Scalp)Purpose: Alerts when MACD histogram is expanding (momentum increasing) rather than simply crossing. Designed for 1-minute scalping and intraday momentum confirmation.
This script is for traders who are tired of late MACD cross alerts.
Instead of firing when MACD lines cross (which often happens after the move), this indicator alerts when the MACD histogram is expanding — meaning momentum is actually increasing right now, not rolling over.
I use it as a “heads up” alert, not a buy/sell signal. When it fires, I check price action, volume, VWAP, support/resistance, etc., to see if the move is worth trading.
Best suited for 1-minute charts, scalping, and fast intraday momentum.
MACD Histogram Expansion Alerts (Scalp) is a lightweight alert-focused indicator designed for intraday traders and scalpers, particularly on lower timeframes such as the 1-minute chart.
Rather than triggering alerts on standard MACD line crossovers (which tend to lag in fast or volatile markets), this script detects MACD histogram expansion — a condition that indicates momentum acceleration, not just direction.
🔍 What this script does
Uses a fast MACD configuration suitable for lower timeframes
Monitors the MACD histogram slope and magnitude
Triggers alerts only when the histogram expands for multiple consecutive bars
Alerts are fired on bar close only, reducing noise and false intrabar signals
🚀 Why focus on histogram expansion?
Histogram expansion highlights when momentum is building, which can be useful for:
Continuation setups
Early momentum confirmation
Avoiding entries when momentum is already fading
This approach is especially helpful in small caps, news-driven stocks, and volatile intraday instruments, where traditional MACD cross alerts can arrive too late.
🔔 Alert Types
Bullish MACD Histogram Expansion
Bearish MACD Histogram Expansion
Each alert can be enabled independently and is intended as an attention signal, not a standalone trading system.
⚙️ Customizable Inputs
MACD Fast / Slow / Signal lengths
Number of consecutive expanding histogram bars required
Optional minimum histogram magnitude filter
Optional directional filter (above/below zero line)
⚠️ Important Notes!!!!
This script does not place trades
Alerts should be used with additional context, such as price action, volume, VWAP, or support/resistance
Not designed for higher-timeframe or swing trading use .
If you find this helpful, feel free to adapt it to your own trading style or timeframe. This script is meant to be simple, flexible, and non-opinionated.
Intuitive Predictive MACD TargetsThis indicator uses Reverse Engineering math to calculate the exact price the market needs to reach for specific MACD events to happen on the current bar.
Standard MACD is a lagging indicator—you usually wait for the candle to close to confirm a signal. This script changes that by drawing "Finish Lines" on your chart, showing you exactly where price must go right now to trigger a Crossover or a Momentum Hook.
The "Reverse Engineering" Concept
Instead of calculating MACD from Price, we calculate the Required Price from the Target MACD.
Q: "At what price will the MACD line cross the Signal line?"
A: The script solves this and draws the Green/Red "Crossover" Line.
Key Features
1. Three Distinct Targets
Crossover Target (PCO/NCO): The exact price needed to trigger a Buy/Sell signal on the current candle.
Dynamic Coloring: Turns Green if price needs to go UP to cross, Red if price needs to go DOWN.
Settlement Target (The Hook): The exact price where the MACD momentum flattens out (Angle = 0). If price touches this Orange Dashed Line, the trend is likely pausing or preparing to reverse.
Zero Cross Target: The price needed for MACD to reclaim the Zero Line.
2. Smart "Staggered" Labels (No Overlap)
Unlike other scripts where text piles up and becomes unreadable, this indicator automatically spreads labels horizontally.
Crossover info stays near the price.
Settlement info is shifted to the right.
Zero info is shifted further right.
Result: You can read all three targets clearly, even if the prices are almost identical.
3. Full Customization
Line Length: Choose "Infinite" to see targets as Support/Resistance levels across the screen, or "Short" to keep your chart background clean.
Text Visibility: Option to force text to White or Black for high contrast on Dark/Light themes.
Styles: Fully adjustable colors, line widths, and styles (Solid, Dashed, Dotted) for each target type.
How to Use
The "Finish Line" Strategy: If you are Long, and the Red NCO Line appears just below the current price, be cautious. It means a very small drop will confirm a Bearish Cross.
Momentum Checks: Watch the Orange "Settlement" Line.
If price is moving away from the Orange line, the trend is accelerating (Safe to hold).
If price touches the Orange line, momentum has died (Consider taking profit).
Settings
Visual Settings: Change Line Length (Infinite/Short) and Text Color.
MACD Settings: Standard inputs (Default 12, 26, 9).
Toggles: Option to show/hide the Zero Line target.
CVD Absorption & Distribution Pro v3 (With Logit Regression)CVD Absorption & Distribution Pro v3 - Complete Guide
Introduction and Overview
The CVD Absorption and Distribution Pro v3 is an advanced trading indicator designed for TradingView that reveals hidden market dynamics invisible on standard price charts. This tool analyzes the battle between buyers and sellers at the micro level, identifying when large institutional players are quietly accumulating or distributing positions while price remains deceptively stable.
Traditional volume indicators fail traders because they treat all volume the same way. They cannot distinguish between aggressive buying and aggressive selling. More importantly, they cannot reveal when significant selling pressure is being absorbed by hidden buyers, or when strong buying pressure is being quietly distributed by large sellers. This information asymmetry has historically given institutional traders a massive advantage over retail participants.
This indicator solves that problem by implementing Cumulative Volume Delta analysis combined with machine learning prediction models, hidden liquidity detection, and comprehensive statistical validation. The result is a professional-grade analytical tool that was previously available only on expensive specialized platforms, now accessible to the entire TradingView community.
What is Cumulative Volume Delta
Cumulative Volume Delta, commonly known as CVD, is a method of categorizing trading volume based on whether it represents buying or selling pressure. The concept is straightforward. When price ticks upward from one moment to the next, the volume associated with that price movement is classified as buying volume. When price ticks downward, that volume is classified as selling volume. The difference between total buying volume and total selling volume over a given period is the delta.
A positive delta indicates that buyers were more aggressive during that period. A negative delta indicates sellers were more aggressive. By tracking this delta cumulatively over time, traders can see the underlying pressure that may not be immediately visible in price action alone.
However, raw CVD analysis has limitations. The real trading edge emerges when we compare what the CVD suggested should happen to price versus what actually happened. When there is significant selling pressure but price fails to decline, something interesting is occurring. Someone is absorbing all that selling. This is where the concepts of absorption and distribution become critically important.
Core Functionality Explained
The indicator operates by accessing one-second bar data from TradingView, the finest granularity available on the platform. This micro-level data is then grouped into clusters, which are user-configurable time blocks. The default setting creates clusters of sixty one-second bars, effectively creating one-minute analysis blocks. However, traders can adjust this to create clusters representing anywhere from a few seconds to several minutes depending on their trading style.
For each one-second bar within a cluster, the script must determine whether to classify the volume as buying or selling. This classification happens based on whether price moved up or down compared to the previous bar. But what happens when price does not change at all? The indicator provides three methods to handle this situation.
The first method, called Last Direction, assigns unchanged volume to whichever direction occurred most recently. If the previous tick was an uptick, the unchanged volume is counted as buying. This approach assumes market momentum tends to persist at very short timeframes.
The second method, called Split Fifty-Fifty, divides unchanged volume equally between buying and selling. This conservative approach acknowledges that when price does not move, we genuinely cannot know whether buyers or sellers were responsible.
The third method simply ignores unchanged ticks entirely, excluding them from the CVD calculation. This purist approach ensures only directionally confirmed volume influences the analysis.
Understanding Absorption
Absorption is one of the two primary signals this indicator detects. Absorption occurs when significant selling pressure fails to push price lower. Imagine a scenario where the delta is strongly negative, meaning sellers are aggressively hitting bids and overwhelming buyers. Under normal circumstances, this should drive price down. But if price stays flat or even rises despite this selling pressure, something unusual is happening. A large buyer is absorbing all that selling without allowing price to fall.
This behavior is characteristic of institutional accumulation. Large players who want to build substantial positions cannot simply place massive buy orders because that would move price against them immediately. Instead, they often buy by absorbing selling pressure. They let other participants sell to them at stable prices, quietly accumulating shares without revealing their intentions.
The indicator identifies absorption by first checking whether the CVD magnitude exceeds a calculated threshold based on historical averages. If the CVD is significantly negative and exceeds this threshold, the script then examines what happened to price. If price moved up or stayed flat, this is classified as full absorption. If price moved down but moved less than expected given the selling pressure, this is classified as partial absorption.
The expected price move is calculated based on the relationship between CVD magnitude and typical price movement observed historically. If current CVD is twice the average, the expected price move would be approximately twice the average price move. When actual price movement falls short of this expectation, the shortfall percentage quantifies the absorption.
Understanding Distribution
Distribution is the mirror image of absorption. It occurs when significant buying pressure fails to push price higher. When delta is strongly positive but price stays flat or even declines, someone is distributing shares into that buying pressure. They are selling to eager buyers without allowing price to rise.
This behavior characterizes institutional distribution. Large holders who want to exit substantial positions face the same challenge as accumulators. They cannot simply dump massive sell orders because that would crash the price before they finish selling. Instead, they often sell by distributing into buying pressure, letting other participants buy from them at stable prices while quietly reducing their position.
The indicator identifies distribution using the same logic as absorption but in reverse. Strongly positive CVD that exceeds the threshold combined with flat or declining price signals distribution. Partial distribution is identified when price rises but rises less than the CVD magnitude would suggest.
Hidden Liquidity Detection
Perhaps the most valuable feature of this indicator is its ability to quantify hidden liquidity. Hidden liquidity refers to large orders that are not fully visible in the order book. Institutional traders commonly use iceberg orders, which display only a small portion of the total order size while the rest remains hidden. As the visible portion gets filled, more of the hidden quantity is revealed.
The indicator estimates hidden liquidity by analyzing partial absorption and partial distribution events. When price moves less than expected given the CVD, the difference represents volume that was absorbed by hidden orders. The cumulative hidden buy liquidity and hidden sell liquidity provide insight into institutional activity that remains completely invisible on standard charts.
A high ratio of hidden buy liquidity to hidden sell liquidity suggests institutional accumulation is occurring. Conversely, a high ratio of hidden sell liquidity to hidden buy liquidity suggests institutional distribution. These signals often precede significant price movements as the institutional positioning eventually influences market direction.
The Prediction Model
This indicator goes beyond simple pattern detection by implementing a genuine machine learning model trained on historical data. The model uses logistic regression to predict whether price will move up or down in subsequent clusters based on current market conditions.
The model considers three primary factors. First, it looks at the normalized CVD, which measures current CVD relative to its historical average and variability. Second, it examines net flow, which is the difference between absorption and distribution. Third, it analyzes hidden flow, the difference between hidden buy liquidity and hidden sell liquidity.
During the training process, the model examines historical clusters where price actually moved significantly. It learns the relationship between these three factors and subsequent price direction. Through iterative gradient descent, the model adjusts its coefficients to best fit the historical data.
The output is a probability between zero and one representing the likelihood that the next cluster will see upward price movement. A probability above sixty percent suggests bullish conditions. A probability below forty percent suggests bearish conditions. Values between forty-five and fifty-five percent indicate neutral or uncertain conditions.
Model Validation Metrics
The indicator provides several metrics to help traders assess whether the prediction model is actually useful for the specific instrument they are analyzing. This validation is critically important because not all instruments exhibit predictable CVD-price relationships.
Logistic Accuracy shows the percentage of correct binary predictions across the training window. An accuracy of fifty percent is essentially random, providing no edge. Accuracy above fifty-five percent suggests the model has genuine predictive value.
Sign Agreement Rate measures how often CVD direction matched price direction historically. When CVD is positive and price goes up, or when CVD is negative and price goes down, this counts as agreement. A sign agreement rate significantly above fifty percent indicates that CVD provides useful directional information for this instrument.
Weighted Sign Agreement applies the same concept but weights each observation by CVD magnitude. High-magnitude CVD events that correctly predict direction count more than low-magnitude events. This metric reveals whether strong CVD signals are more reliable than weak ones.
If these validation metrics are close to fifty percent, traders should be cautious about relying on the model for that particular instrument. The CVD-price relationship may be too noisy or the market microstructure may not suit this type of analysis.
Bucket Analysis
The indicator performs bucket analysis by segmenting historical data into five groups based on CVD magnitude. The first bucket contains clusters where CVD was very strongly negative, more than twice the average in the negative direction. The second bucket contains moderately negative CVD clusters. The third bucket represents neutral conditions where CVD was within one standard average of zero in either direction. The fourth bucket contains moderately positive CVD, and the fifth bucket contains very strongly positive CVD.
For each bucket, the indicator calculates what percentage of clusters saw price move upward. In a market where CVD has predictive value, we would expect to see low upward percentages in negative CVD buckets and high upward percentages in positive CVD buckets. The spread between the highest and lowest buckets indicates how useful CVD is for predicting direction.
If the bucket analysis shows similar upward percentages across all buckets, the CVD-price relationship is essentially random for that instrument. If the pattern shows the expected gradient from low to high, CVD analysis should provide genuine trading edge.
Strength Tiers
Not all absorption and distribution events are equally significant. The indicator classifies events into three strength tiers based on their magnitude relative to baseline averages.
Normal events occur when CVD is between one and two times the average magnitude. These events happen regularly throughout trading sessions and represent standard market dynamics.
Strong events occur when CVD is between two and three times the average magnitude. These elevated significance events warrant additional attention and may indicate more substantial institutional activity.
Exceptional events occur when CVD exceeds three times the average magnitude. These rare occurrences often precede significant price movements and represent major institutional footprints in the market.
The indicator tracks how many events of each tier occurred during the display period, helping traders identify sessions with unusual institutional activity.
Divergence Detection
The indicator implements sophisticated divergence detection that compares trends in CVD with trends in price over a rolling window of recent clusters. Divergence occurs when these two metrics move in opposite directions or when one moves significantly while the other remains flat.
Bullish divergence manifests in two forms. Hidden accumulation occurs when the CVD trend turns increasingly positive while price remains flat, suggesting buying pressure is building without yet moving price. CVD accumulation occurs when average CVD is positive but average price movement is minimal.
Bearish divergence also manifests in two forms. Hidden distribution occurs when CVD trend turns increasingly negative while price remains stable, suggesting selling pressure is building. CVD distribution occurs when average CVD is negative but price refuses to decline.
Divergence signals are quantified by their strength relative to baseline averages, allowing traders to prioritize the most significant divergences.
Display and Interface
The indicator presents all its analysis through a comprehensive table overlay positioned on the chart. The table is organized into logical sections that can be individually enabled or disabled based on trader preferences.
The Direction Prediction section shows the current signal, probability, and period cluster breakdown between bullish, bearish, and neutral predictions. The Model Performance section displays accuracy metrics and training sample counts.
The CVD Bucket Analysis section shows the five-bucket breakdown with upward percentages for each, along with an interpretation of whether a predictable pattern exists.
The Baselines section displays the calculated averages for CVD and price movement, along with the current threshold being used for event detection.
The Results section shows total absorption and distribution for the display period, the ratio between them, net values, and an overall flow signal interpretation.
The Full versus Partial section breaks down events by type, showing how much activity was full absorption or distribution versus partial events indicating hidden liquidity.
The Hidden Liquidity section displays estimated hidden buy and sell volumes, their ratio, average shortfall percentages, and an iceberg signal interpretation.
The Strength Tiers section shows event counts by tier for both absorption and distribution, highlighting any exceptional events.
The Divergence section indicates whether bullish or bearish divergence is currently present and its strength.
The Statistics section provides cluster counts and event counts for reference.
Configuration Recommendations
For scalping and very short-term trading with holding periods of one to five minutes, traders should use smaller cluster sizes around thirty to sixty seconds, shorter average lengths around two to three hundred clusters, and enable intensity weighting to emphasize high-magnitude events.
For day trading with holding periods of fifteen to sixty minutes, the default settings work well. Cluster size of sixty for one-minute analysis, average length of seven hundred fifty for approximately two trading days of history, and single-day display period provide balanced analysis.
For swing trading with multi-day holding periods, larger cluster sizes of three hundred to six hundred representing five to ten minute blocks reduce noise. Longer average lengths of seven fifty to fifteen hundred clusters capture broader patterns. Multi-day display periods of three to five days reveal accumulation and distribution over meaningful timeframes.
Interpreting Results
When the absorption to distribution ratio exceeds one point five, this suggests bullish underpinnings. Selling pressure is being absorbed, potentially indicating institutional accumulation. Traders should look for confirmation from hidden buy liquidity metrics, model probability favoring upside, and any bullish divergence signals.
When the ratio falls below zero point six seven, this suggests bearish underpinnings. Buying pressure is meeting distribution, potentially indicating institutional selling. Validate with hidden sell liquidity metrics, model probability favoring downside, and any bearish divergence signals.
When the ratio falls between zero point eight and one point two, the market is in relative equilibrium. Traders should wait for the ratio to break out of this neutral range, watch for exceptional tier events that might signal a shift, or wait for divergence to develop.
Regarding model predictions, when accuracy exceeds fifty-eight percent and sign agreement exceeds fifty-five percent, there is a strong predictive relationship. CVD analysis provides genuine edge for this instrument. When accuracy falls between fifty-four and fifty-eight percent or sign agreement falls between fifty-two and fifty-five percent, there is moderate edge. Use signals for confirmation but not as standalone entry triggers. When both metrics fall below their respective thresholds, the relationship is weak or random. Traders should reconsider whether CVD analysis adds value for this particular instrument.
Best Practices
Allow adequate training time before relying on model predictions. The prediction model requires substantial data to train effectively. Ensure at least five hundred clusters have accumulated before trusting model outputs. The indicator displays training sample count for verification.
Always validate model quality before trading based on predictions. A fifty-two percent accuracy is statistically indistinguishable from random chance. Ensure your edge is real by checking all validation metrics.
Context matters tremendously in interpretation. Absorption during an established uptrend suggests continuation strength. Absorption during a downtrend suggests potential reversal. Always interpret signals within the broader market context rather than in isolation.
Combine this indicator with price action analysis. The CVD analysis reveals hidden dynamics but should not be used alone. Combine with support and resistance levels, trend structure analysis, volume profile, and traditional technical patterns for comprehensive market assessment.
Monitor for regime changes over time. Market microstructure can change as participation patterns evolve. Regularly review bucket analysis to ensure the CVD-price relationship remains stable. Significant deterioration in predictive patterns may indicate changing market conditions requiring parameter recalibration.
Value to the Trading Community
This indicator democratizes institutional-grade analysis. Historically, this level of order flow analysis required expensive specialized platforms that cost hundreds or thousands of dollars monthly. By implementing these concepts within TradingView Pine Script, this tool makes professional analysis accessible to all traders regardless of budget.
The indicator serves as an educational framework. Beyond practical trading applications, the visible statistics help traders understand the CVD-price relationship. Bucket analysis teaches probabilistic thinking. Model coefficients reveal which factors matter most. Validation metrics prevent overconfidence in unreliable signals.
The customization depth accommodates diverse trading styles. With over thirty configurable parameters, the indicator adapts to virtually any approach from rapid scalping to patient swing trading.
The transparent methodology builds trust. Unlike black-box commercial solutions where algorithms remain hidden, every calculation is visible in the source code. Traders can verify the logic, understand the assumptions, and modify the approach to suit their specific needs.
Conclusion
The CVD Absorption and Distribution Pro v3 represents a significant advancement in accessible order flow analysis for retail traders. By combining time-tested CVD concepts with modern statistical validation and machine learning techniques, it provides a comprehensive toolkit for understanding the hidden dynamics driving price action.
Its value lies not merely in generating trading signals but in providing the framework to understand why those signals occur and whether they are statistically meaningful for the specific instrument being traded. This combination of actionable intelligence and educational transparency makes it an invaluable addition to any serious trader analytical arsenal.
The indicator rewards those who invest time in understanding its methodology, optimizing its parameters for their specific trading style, and validating its signals against their own market experience. Used thoughtfully, it reveals the institutional footprints that remain invisible on conventional charts. The absorption, distribution, and hidden liquidity patterns it detects often presage significant market movements, giving attentive traders the opportunity to position themselves alongside smart money rather than against it.
