Dragon Flow Arrows (Smoothed LITE)🚀 DRAGON FLOW ARROWS — LITE | Smart Trend Engine + Clean Reversal Arrows
A lightweight but highly-optimized trend system designed for clean charts, powerful visual signals, and no-noise directional flow.
Built for traders who want simplicity, clarity, and professional-level momentum-filtered signals without over-complication.
🔥 Dragon Channel (Clean 3-Line Ribbon)
A smooth adaptive channel formed from ATR + EMA, giving you structural trend zones without clutter. No double bands, no messy overlaps just a clear upper/lower boundary.
✅ Dragon Flow Gradient
A horizontal, color-shifted flow:
🟢 Bull flow → green glow
🔴 Bear flow → red glow
Automatic blend based on trend direction
Smooth visual transitions (no vertical stripes)
✅ Momentum-Filtered Arrows (No Spam)
BUY/SELL arrows only print when:
Price breaks outside the Dragon Channel
Momentum confirms (RSI + MACD filters)
Trend flips → one clean arrow per direction
Text labels sit outside the channel for better readability.
✅ Smart Header Panel
At the top of your chart:
📌 Trend: Uptrend / Downtrend / Neutral
⚡ Impulse Strength: Weak / Normal / Strong
© FxShareRobots.com brand bar
Everything compact. Everything professional.
📊 How to Use
BUY Setup
Price moving above baseline
Dragon Flow turns bullish (cyan side)
Arrow appears below channel
SELL Setup
Price breaks below baseline
Dragon Flow turns bearish (magenta side)
Arrow pops above channel
Exit / Filter
Opposite arrow
Flow color shift
Trend panel flips
Works on Forex, Crypto, Stocks, Indices — all timeframes.
🆚 LITE vs PRO
Feature LITE PRO
Dragon Channel ✔ ✔ +Enhanced
Trend Panel ✔ ✔ +Multi-TF
Reversal Arrows ✔ ✔ + Confirmation
Momentum Filter ✔ ✔ +Expanded
Alerts ✖ ✔ +Full Suite
Reversal Zones ✖ ✔ +Predictive Map
Trade Strategy ✖ ✔ +Included + PDF
🔓 Upgrade to DRAGON FLOW — PRO
Unlock alerts, HTF confirmation, advanced momentum engine, and predictive reversal zones:
👉 fxsharerobots.com/itp/
❤️ If this helped your trading — please Like & Follow!
This supports future updates and keeps the LITE version source code free for the community.
Happy trading,
FxShareRobots Team
Centered Oscillators
Take Profit XTake Profit X
Take Profit X solves the #1 problem in trading: knowing when to exit. Instead of guessing or using single indicators, it aggregates 8 technical signals to identify high-probability exit points through multi-confirmation consensus. This eliminates premature exits and emotional decision-making.
The indicator counts confirmations from your chosen technical tools:
Green dot = Multiple signals say "take profit on longs/exit shorts"
Red dot = Multiple signals say "take profit on shorts/exit longs"
Signals appear when you reach the minimum confirmations threshold you set.
Possible Settings:
Conservative (Swing Trading)
pine
Minimum Confirmations: 4
Use: RSI, MACD, CCI, Supertrend, Price Action
Disable: Stochastic, Bollinger Bands, EMA Cross
Look Back Bars: 10
Aggressive (Day Trading)
pine
Minimum Confirmations: 2
Use: All indicators ON
Look Back Bars: 3-5
RSI OB/OS: 75/25
Balanced (Most Markets)
pine
Minimum Confirmations: 3
Use: RSI, MACD, CCI, Supertrend
Price Action: ON
Look Back Bars: 5-7
Session Range Control [PointAlgo]Session Range Control (SRC)
The Session Range Control (SRC) indicator provides a structured view of intraday price behavior by tracking where the current price sits within the session’s high–low range and how today’s volatility compares to the Average Daily Range (ADR). It combines range analytics, momentum context, volatility interpretation, and visual cues to help traders understand session strength and shifts in intraday conditions.
Core Concept
Every trading session forms a unique high and low. SRC continuously reads these values and calculates the Position in Range, expressed on a scale from 0% to 100%:
0% → Price at Day Low
100% → Price at Day High
50% → Mid-range equilibrium
By normalizing price into a percentage, traders can quickly interpret where market pressure is concentrated during the session.
Trend Zones and Market State
SRC divides the range into logical zones to show the likely sentiment of the session:
1. Strong Uptrend Zone (Above Threshold)
When price consistently holds above the user-defined upper threshold (e.g., 60%), the indicator marks a Strong Uptrend.
This typically reflects:
Persistent intraday buying pressure
Price acceptance near the upper part of the range
Reduced likelihood of deep pullbacks
2. Strong Downtrend Zone (Below Threshold)
When price remains below the lower threshold (e.g., 40%), SRC signals a Strong Downtrend, indicating:
Dominant intraday selling
Consistent pressure keeping price near session lows
3. Bullish / Bearish Zones
Between the midline and strong thresholds, SRC displays softer trend zones:
Above 50% = Bullish Zone
Below 50% = Bearish Zone
These zones help classify whether price is trending, balanced, or drifting.
4. Neutral Territory
When price hovers around the mid-level without conviction, the indicator treats it as a neutral or undecided phase.
Signal Logic :
SRC includes built-in momentum shift signals based on range transitions:
Long Signal
Triggered when price crosses upward through 50%, often showing:
A shift from intraday weakness to strength
Buyers gaining control of the session
Short Signal
Triggered when price crosses downward through 50%, suggesting:
Loss of intraday strength
Sellers taking control
These signals help highlight potential turning points inside the session.
Extreme Levels :
SRC highlights the top and bottom 10% of the range:
> 90% = Extreme High (Overbought intraday condition)
< 10% = Extreme Low (Oversold intraday condition)
These conditions can be useful for identifying overextended movements or potential reaction zones.
ADR Comparison and Volatility Context :
The indicator also measures how today’s price range compares to the Average Daily Range (ADR):
Range Expanding: Today’s range is significantly larger than the ADR
Indicates heightened volatility
Often associated with trending or breakout environments
Range Compressing: Today’s range is much smaller
Suggests low volatility
Common before breakout phases
Characteristic of consolidation or balanced markets
This volatility context helps traders assess whether the session is behaving within normal boundaries or deviating significantly.
Dashboard Overview :
When enabled, the dashboard summarizes key intraday metrics in a structured table:
Trend status (Strong Uptrend, Strong Downtrend, Bullish, Bearish, Neutral)
Range position (%)
Signal status (Long Cross, Short Cross, Extreme High/Low, or None)
Day range calculation
Range vs ADR (%)
Day High / Day Low
Current price level
Simplified action label based on current conditions
This provides a quick reference system to interpret both trend and volatility at a glance without analyzing the full chart visually.
Visual Elements
SRC includes:
Colored dynamic plot for easy trend recognition
Horizontal reference lines at key levels (0%, 50%, 100%, strong-trend thresholds)
Background shading during extreme zone conditions
A separate ADR comparison plot
These visuals ensure the indicator remains intuitive regardless of chart style or timeframe.
Alerts
The script includes alert conditions for:
Long cross
Short cross
Strong trend detection
Extreme high / extreme low
These allow users to automate notifications during key market events without manually monitoring the chart.
Customization Options
Users can configure:
ADR length
Strong trend thresholds
Dashboard visibility
Dashboard position on chart
This makes SRC adaptable to different trading instruments and intraday styles.
Usage Notes
Works best on intraday timeframes where session boundaries are clearly defined.
Designed for analytical interpretation—trend bias, volatility phase, and range structure.
Can complement other tools such as moving averages, volume, or market structure analysis.
Disclaimer :
This indicator is intended for chart analysis and educational purposes only.
It does not generate financial, investment, or trading advice.
Users should validate signals with additional research and apply proper risk management.
DeltaPulseDeltaPulse: Professional Cumulative Volume Delta Indicator
DeltaPulse is a free cumulative volume delta (CVD) indicator engineered for modern traders who demand precision, adaptability, and visual clarity. Unlike traditional CVD tools that often suffer from scaling issues, excessive noise, or poor responsiveness across timeframes, DeltaPulse delivers a streamlined, professional-grade solution that "just works" – providing actionable insights into buying and selling pressure with minimal setup.
This indicator accumulates the net difference between buying and selling volume (inferred from candle direction), normalizes it intelligently for consistent readability, and applies advanced smoothing to filter out market noise while preserving momentum signals. The result is a clean, momentum-colored line in a dedicated pane, enhanced by subtle visual cues that highlight key market dynamics.
Whether you're a day trader scalping intraday moves, a swing trader analyzing weekly trends, or an institutional analyst reviewing futures contracts, DeltaPulse adapts seamlessly to your workflow. It's designed to be your go-to tool for confirming trends, spotting divergences, and identifying order flow imbalances – all without the bloat of overcomplicated features.
Key Features
Intelligent Normalization for Universal Compatibility
Automatically adjusts scaling based on chart timeframe and symbol volume profile.
Intraday (1-5 min): Uses a 100-period volume average for responsive, lively signals.
Intraday (15+ min): 50-period average for balanced sensitivity.
Daily/Weekly+: 20-period average for clean, long-term perspective.
Ensures the indicator remains visually meaningful and non-flat on any asset – from low-volume penny stocks to high-liquidity indices like ES or NQ.
Advanced Smoothing Options
Six moving averages to match your trading style:
EMA - Quick reactions to recent delta shifts
SMA - Simple Moving Average - Stable, noise-resistant baseline
WMA - Weighted Moving Average - Emphasizes recent data with linear weighting
HMA - Hull Moving Average - Ultra-smooth yet lag-free – ideal for momentum trading
RMA - Running Moving Average (Wilder's) - Trend-following with minimal whipsaws
VWMA - Volume-Weighted Moving Average - Highlights high-volume delta moves
Lower values increase reactivity; higher values enhance smoothness.
Flexible Reset Mechanisms
Session Reset: Clears CVD at the first regular trading bar each day – perfect for intraday analysis.
Weekly Reset: Resets at the start of each new week – suited for swing and position trading.
No manual intervention required; the indicator handles resets reliably across all timeframes.
Background Shading:
Light green tint above zero; light red below.
Extreme highlights when smoothed CVD exceeds 90% of its 80-bar high/low – flags potential exhaustion or absorption zones.
How It Works
DeltaPulse calculates a simple yet effective volume delta on each bar:
Bullish Bar (close ≥ open): Adds full volume as positive delta.
Bearish Bar (close < open): Subtracts full volume as negative delta.
This raw delta accumulates into a running total (CVD), resetting based on your chosen mode. The total is then:
Normalized against a timeframe-adaptive volume average to ensure consistent scaling.
Smoothed using your selected MA type for noise reduction and trend clarity.
Plotted with momentum-based coloring and visual enhancements.
The output is a single, intuitive line that reveals the underlying battle between buyers and sellers – far more reliably than raw volume bars or basic oscillators.
Trading Applications
DeltaPulse shines in revealing order flow dynamics that price action alone often conceals. Here are proven ways to integrate it:
Trend Confirmation & Momentum Trading
Bullish Setup: Rising green line above zero confirms buyer control – enter longs on pullbacks to support.
Bearish Setup: Falling red line below zero signals seller dominance – short on rallies to resistance.
Zero Line Crosses as Reversal Signals
A crossover from negative to positive territory often marks a sentiment shift – use for entry triggers.
Combine with volume spikes or key levels for high-probability setups.
Enhancement: VWMA mode amplifies signals on high-volume breakouts.
Absorption & Exhaustion Zones
Watch for extreme background highlights: A spike to highs followed by reversal suggests large players absorbing supply.
Ideal for fade trades near overextended levels (e.g., after news events).
Avoid low-volume or illiquid symbols, as delta inference relies on reliable candle data.
Timeframe-Agnostic: Solves the common CVD pitfall of being "dead" on intraday charts or erratic on daily ones through smart, automatic normalization.
Lag-Free Responsiveness: The default HMA smoothing strikes a rare balance – smoother than EMA, faster than SMA – without the computational overhead of exotic filters.
Zero Clutter: No histograms, no extraneous plots, no overwhelming alerts. Just pure, distilled order flow intelligence.
Ultimate Adaptive RSIUltimate Adaptive RSI
RSI That Adapts to Any Market
This isn't your grandpa's RSI. It dynamically adjusts its sensitivity based on market conditions—smoother in trends, responsive in ranges.
Traditional RSI fails in strong trends and changing volatility. UA-RSI fixes both by adapting its sensitivity in real-time, giving you reliable signals whether the market is trending, ranging, or transitioning between regimes.
How It Adapts:
Smart Pre-Smoothing: Uses Efficiency Ratio to detect trend strength and automatically lengthens/shortens its smoothing window.
Dominant Cycle Detection: Matches its internal period to the market's actual rhythm.
Dynamic Bands: RMS-based overbought/oversold levels that expand/contract with volatility.
Smoothing Stack: ALMA pre-smoothing → Ultimate Smoother → Jurik filter creates the cleanest RSI you've ever seen.
Trade Signals:
Buy: RSI crosses above lower band or midline + price confirms
Sell: RSI crosses below upper band or midline + price confirms
Bands expand in high volatility → wait for deeper extremes
Bands contract in low volatility → take earlier signals
Signal line for crossover entries
Adaptive smoothing = fewer false signals in trends
Day trading: Use 1.0 band multiplier
Swing trading: Use 1.2-1.5 multiplier
Ranging markets: Lower multiplier to 0.8
Trending markets: Raise multiplier to 1.5+
Bands widen in volatility = wait for deeper extremes
Bands tighten in calm markets = take earlier signals
Never trade RSI alone - always wait for price confirmation
VixTrixVixTrix - Because markets move in both directions.
VixTrix was born from a fundamental limitation in traditional volatility indicators: they only measure downside panic, completely missing the greed-driven extremes that form market tops.
How It Works:
Dual-Component Analysis:
vixBear = Panic selling intensity (distance from recent highs)
vixBull = FOMO buying intensity (distance from recent lows)
Oscillator = vixBear - vixBull = Net fear/greed imbalance
When the oscillator is positive, fear dominates (potential bottom forming). When negative, greed dominates (potential top forming).
Professional-Grade Filtering:
The magic happens with the symmetric RMS (Root Mean Square) bands. Unlike fixed percentage bands or standard deviation, RMS:
Creates mathematically symmetric positive/negative thresholds
Naturally adapts to changing volatility regimes
Provides statistical significance to extremes
VixTrix also adds selectable MA smoothing for the RMS calculation:
WMA (default): Balanced – middle-ground approach
VWMA: Volume-weighted – filters low-volume noise
EMA: Responsive – catches quick reversals
SMA: Stable – for swing trading
HMA: Fast and smooth – ideal for day trading
Signals require triple confirmation:
Statistical Extreme: Oscillator beyond RMS band
Price Action Confirmation: Correct candle color (bullish for bottoms, bearish for tops)
Momentum Continuation: Oscillator still moving toward extreme (exhaustion)
This multi-filter approach reduces premature entries and false signals while maintaining early positioning at potential reversal points.
Why This Matters for Your Trading:
In bull markets, traditional fear indicators sit near zero, giving no warning of impending tops.
VixTrix identifies when greed becomes excessive – when FOMO buying reaches statistical extremes that often precede corrections.
In range-bound markets, VixTrix excels at identifying overreactions in both directions, providing high-probability mean reversion opportunities.
During crashes, it captures the panic selling with the same precision as VixFix, but with better timing through its momentum confirmation.
VixTrix spots continuations through:
"No Signal" = Healthy Trend – Oscillator stays between RMS bands (no exhaustion)
Failed Extremes – Touches band but no triple confirmation = trend likely continues
Hidden Divergence – Price makes higher low while oscillator makes shallower low = uptrend continues
Controlled Emotions – Oscillator negative but not extreme in uptrends (greed present but not excessive)
Key Insight: When VixTrix doesn't give a signal during a pullback, institutions aren't panicking – they're just pausing before resuming the trend.
Green columns = Bullish exhaustion (potential bottoms)
Red columns = Bearish exhaustion (potential tops)
Golden RMS bands = Dynamic thresholds adapting to current volatility
Background highlights = Active signal conditions
The Result: A professional-grade oscillator that works in all market conditions – trending up, trending down, or ranging – by measuring the complete emotional spectrum driving price action.
Friday-Monday Pattern Backtest (Market Rebellion)Tests the "Friday-Monday Pattern" popularized by Tom Hougaard / Market Rebellion.
PATTERN LOGIC:
• When Friday's high is LOWER than Thursday's high (setup condition)
• Then Friday's low is often revisited on the following Monday
WHAT THIS INDICATOR SHOWS:
• Orange background highlights valid setup bars (Thu-Fri-Mon)
• Red horizontal line marks Friday's low (the target level)
• Green "SUCCESS" label = Monday hit Friday's low
• Red "FAIL" label = Monday did not reach Friday's low
• Stats table (top-right) shows total setups, successes, and success rate
USE THIS TO:
• Backtest the pattern on any daily chart (works best on indices, forex, futures)
• Verify the claimed "overwhelming" tendency statistically
• Identify which markets/timeframes show the highest success rate
CREDITS:
Pattern idea from Tom Hougaard / Market Rebellion: x.com
Indicator by BacktestBay for transparent pattern verification.
USAGE NOTES:
• Must be applied to DAILY charts
• Uses time_close("D") for accurate day-of-week detection on forex pairs
• No trading signals - purely for statistical backtesting
SCOTTGO Advanced MACD🌟 Custom MACD: Enhanced Visuals & Crossover Signals
This indicator is a highly customized version of the traditional Moving Average Convergence Divergence (MACD) oscillator, designed to provide clear, immediate visual confirmation of signal line crossovers and zero-line crossings.
Core Features:
MACD Crossover Shadow Fill: The area between the MACD line and the Signal line is filled with a customizable shadow. This instantly visualizes whether the MACD is above (bullish crossover) or below (bearish crossover) the Signal line.
Signal Crossover Markers (Arrows & Dots):
Crossover Dot: A small, configurable solid dot is plotted exactly at the point where the MACD and Signal lines intersect, providing pinpoint accuracy for the crossover event.
Crossover Arrows: Customizable up (green) and down (red) arrows are plotted using a small numerical offset from the crossover point, ensuring visibility without cluttering the indicator lines.
Zero-Line Crossing Markers: Distinct, small markers (circles/diamonds) are used to signal when the MACD line crosses the zero line, indicating a shift in momentum relative to the baseline.
Customizable MA Type: The user can select either Exponential Moving Average (EMA) or Simple Moving Average (SMA) for both the MACD oscillator calculation and the signal line calculation.
This indicator is ideal for traders who rely on MACD crossovers and require precise, configurable visual feedback directly on the chart.
macd rsi tunTitle:
Quantum Flow - Clean Momentum & Pattern Signals
Description:
A minimalist trend signal indicator designed purely for practical trading.
How it works:
Core Logic: Combines Momentum crossovers with Engulfing Candle patterns to identify potential reversals.
Clean Display: No messy lines. It only displays simple text signals ("多" for Long, "空" for Short) at key pivot points.
Filtering: Includes an optional RSI filter to improve signal probability and reduce noise.
Extras: Supports Bar Coloring and fully functional Alerts.
Designed specifically for traders who prefer a clean, uncluttered chart.
Note: This is not financial advice. Please test thoroughly in a demo account before live use.
Fractal Fade Pro IndicatorA revolutionary contrarian trading indicator that applies chaos theory, fractal mathematics, and market entropy to generate high-probability reverse signals. This indicator fades traditional technical signals, providing BUY signals when conventional indicators say SELL, and SELL signals when they say BUY.
Full Description:
Most traders follow the herd. QFCI does the opposite. It identifies when conventional technical analysis is about to fail by detecting mathematical patterns of exhaustion in market structure.
How It Works (Technical Overview):
The indicator combines three sophisticated mathematical approaches:
Fractal Dimension Analysis: Measures the "roughness" of price movements using fractal mathematics
Market Entropy Calculation: Quantifies the randomness and disorder in price returns using information theory
Phase Space Reconstruction: Analyzes price evolution in multi-dimensional state space from chaos theory
Signal Generation Process:
Step 1: Market Regime Detection
Chaotic Regime: High fractal complexity + rising entropy (avoid trading)
Trending Regime: Low fractal complexity + high phase space distance (fade breakouts)
Mean-Reverting Regime: Very low fractal complexity (fade extremes)
Step 2: Reverse Signal Logic
When traditional indicators would give:
BUY signal (breakout, oversold bounce, volatility spike) → QFCI shows SELL
SELL signal (breakdown, overbought rejection, volatility crash) → QFCI shows BUY
Step 3: Smart Signal Filtering
No consecutive same-direction signals
Adjustable minimum bars between signals
Multiple confirmation layers required
Unique Features:
1. Mathematical Innovation:
Original fractal dimension algorithm (not standard indicators)
Market entropy calculation from information theory
Phase space reconstruction from chaos theory
Multi-regime adaptive logic
2. Trading Psychology Advantage:
Contrarian by design - profits from market overreactions
Fades retail trader mistakes - enters when others are exiting
Reduces overtrading - strict signal frequency controls
3. Clean Visual Interface:
Only BUY/SELL labels - no chart clutter
Clear directional arrows - immediate signal recognition
Built-in alerts - never miss a trade
Recommended Settings:
Default (Balanced Approach):
Fractal Depth: 20
Entropy Period: 200
Min Bars Between Signals: 100
Aggressive Trading:
Fractal Depth: 10-15
Entropy Period: 100-150
Min Bars Between Signals: 50-75
Conservative Trading:
Fractal Depth: 30-40
Entropy Period: 300-400
Min Bars Between Signals: 150-200
Optimal Timeframes:
Primary: Daily, Weekly (best performance)
Secondary: 4-Hour, 12-Hour
Can work on: 1-Hour (with adjusted parameters)
How to Use:
For Beginners:
Apply indicator to chart
Use default settings
Wait for BUY/SELL labels
Enter on next candle open
Use 2:1 risk/reward ratio
Always use stop losses
For Advanced Traders:
Adjust parameters for your trading style
Combine with support/resistance levels
Use volume confirmation
Scale in/out of positions
Track performance by regime
Risk Management Guidelines:
Position Sizing:
Conservative: 1-2% risk per trade
Moderate: 2-3% risk per trade
Aggressive: 3-5% risk per trade (not recommended)
Stop Loss Placement:
BUY signals: Below recent swing low or -2x ATR
SELL signals: Above recent swing high or +2x ATR
Take Profit Targets:
Primary: 2x risk (minimum)
Secondary: Previous support/resistance
Tertiary: Trailing stops after 1.5x risk
IMPORTANT RISK DISCLOSURE
This indicator is for educational and informational purposes only. It is not financial advice. Past performance does not guarantee future results. Trading involves substantial risk of loss and is not suitable for every investor. The risk of loss in trading can be substantial. You should therefore carefully consider whether such trading is suitable for you in light of your financial condition.
CEF (Chaos Theory Regime Oscillator)Chaos Theory Regime Oscillator
This script is open to the community.
What is it?
The CEF (Chaos Entropy Fusion) Oscillator is a next-generation "Regime Analysis" tool designed to replace traditional, static momentum indicators like RSI or MACD. Unlike standard oscillators that only look at price changes, CEF analyzes the "character" of the market using concepts from Chaos Theory and Information Theory.
It combines advanced mathematical engines (Hurst Exponent, Entropy, VHF) to determine whether a price movement is a real trend or just random noise. It uses a novel "Adaptive Normalization" technique to solve scaling problems common in advanced indicators, ensuring the oscillator remains sensitive yet stable across all assets (Crypto, Forex, Stocks).
What It Promises:
Intelligent Filtering: Filters out false signals in sideways (volatile) markets using the Hurst Base to measure trend continuity.
Dynamic Adaptation: Automatically adapts to volatility. Thanks to trend memory, it doesn't get stuck at the top during uptrends or at the bottom during downtrends.
No Repainting: All signals are confirmed at the close of the bar. They don't repaint or disappear.
What It Doesn't Promise:
Magic Wand: It's a powerful analytical tool, not a crystal ball. It determines the regime, but risk management is up to the investor.
Late-Free Holy Grail: It deliberately uses advanced correction algorithms (WMA/SMA) to provide stability and filter out noise. Speed is sacrificed for accuracy.
Which Concepts Are Used for Which Purpose?
CEF is built on proven mathematical concepts while creating a unique "Fusion" mechanism. These are not used in their standard forms, but are remixed to create a consensus engine:
Hurst Exponent: Used to measure the "memory" of the time series. Tells the oscillator whether there is a probability of the trend continuing or reversing to the mean.
Vertical Horizontal Filter (VHF): Determines whether the market is in a trend phase or a congestion phase.
Shannon Entropy: Measures the "irregularity" or "unpredictability" of market data to adjust signal sensitivity.
Adaptive Normalization (Key Innovation): Instead of fixed limits, the oscillator dynamically scales itself based on recent historical performance, solving the "flat line" problem seen in other advanced scripts.
Original Methodology and Community Contribution
This algorithm is a custom synthesis of public domain mathematical theories. The author's unique contribution lies in the "Adaptive Normalization Logic" and the custom weighting of Chaos components to filter momentum.
Why Public Domain? Standard indicators (RSI, MACD) were developed for the markets of the 1970s. Modern markets require modern mathematics. This script is presented to the community to demonstrate how Regime Analysis can improve trading decisions compared to static tools.
What Problems Does It Solve?
Problem 1: The "Stagnant Market" Trap
CEF Solution: While the RSI gives false signals in a sideways market, CEF's Hurst/VHF filter suppresses the signal, essentially making the histogram "off" (or weak) during noise.
Problem 2: The "Overbought" Fallacy
CEF Solution: In a strong trend (Pump/Dump), traditional oscillators get stuck at 100 or 0. CEF uses "Trend Memory" to understand that an overbought price is not a reversal signal but a sign of trend strength, and keeps the signal green/red instead of reversing it prematurely. Problem 3: Visual Confusion
CEF Solution: Instead of multiple lines, it presents a single, color-coded histogram featuring only prominent "Smart Circles" at high-probability reversal points.
Automation Ready: Custom Alerts
CEF is designed for both manual trading and automation.
Smart Buy/Sell Circles: Visual signals that only appear when trend filters are aligned with momentum reversals.
Deviation Labels: Automatically detects and labels structural divergences between price and entropy.
Disclaimer: This indicator is for educational purposes only. Past performance does not guarantee future results. Always practice appropriate risk management.
Williams %R + Bollinger %B📊 Williams %R + Bollinger %B Indicator
This indicator blends two complementary oscillators to provide a clearer view of market momentum, volatility, and extreme zones:
🔹 Williams %R (W%R):
Measures the price’s position within its recent range, helping identify overbought/oversold conditions and potential reversal points. It reacts quickly to market shifts, making it useful for spotting short-term exhaustion.
🔹 Bollinger %B (BB%):
Shows where the price sits relative to the Bollinger Bands, highlighting volatility expansions, contractions, and pressure around the bands. It helps confirm breakouts, squeezes, and volatility-driven moves.
🎯 What This Combined Indicator Offers
Dual insight: Momentum (W%R) + volatility (BB%).
Higher precision: Identifies areas where both range extremes and volatility extremes align.
Better timing: Provides clearer entry/exit confirmation based on price behavior relative to range and volatility.
🧠 Suggested Use
Look for confluences, such as W%R showing oversold while BB% signals a lower-band rejection or squeeze.
Spot true breakouts when BB% expands while W%R exits extreme zones.
Filter out noise by analyzing the relationship between both oscillators.
VWAP Reclaim System_FinaldiTraderVWAP Reclaim System
This script gives you:
VWAP
EMA 9 & EMA 20
Premarket high & low (4:00–9:30am ET)
Optional HOD line
Background highlight when VWAP + EMA trend are bullish (your long zone)
Swing Trading IndicatorThis script is a swing‑trading dashboard designed for BTC, ETH, S&P 500 (for now). It combines weekly RSI, USDT.D, VIX, moving averages and Fisher Transform into a single visual tool, with background highlights, an on‑chart info table and ready‑made alerts to help you time high‑probability swing entries and manage risk.
1. Overview
The indicator is intended to work on daily timeframe.
Signals are context‑aware: BTC and ETH get USDT.D conditions, SPX gets VIX and EMA‑100 logic, and all non‑ETH symbols can also use Fisher Transform as a mean‑reversion filter.
2. Conditions and background highlights
Each component sets a boolean condition and, when active, paints a background layer:
Weekly RSI condition
True when weekly RSI is below its symbol‑specific threshold.
USDT.D conditions
BTC: triggered when USDT.D is above the user threshold and the chart symbol is BTC.
ETH: same logic for ETH, but tracked separately..
VIX condition (SPX only)
True when VIX high is at or above the VIX threshold while the chart is SPX.
EMA condition (BTC & SPX)
BTC: daily close below EMA‑200.
SPX: daily close below EMA‑100.
Fisher Transform condition (non‑ETH)
Fisher Transform on the chart timeframe, using the configured period.
True when Fisher value is below the Fisher threshold.
3. Intended use and notes
This indicator is designed as a confluence tool for swing traders, not a standalone buy/sell system. It works best on assets that are in a clear uptrend, where the main idea is to accumulate during corrections within that broader bullish structure.
During larger market shocks, deep corrections, or black‑swan events, trend‑based and mean‑reversion filters can produce false signals, because volatility and correlations often behave abnormally in those periods. For that reason, this script should always be combined with independent risk management, higher‑timeframe trend analysis, and your own discretion.
Pivot Boss IndicatorsPivot boss indicators shows central pivot range and pivot levels for support and resistance.
XAU Micro ScalperThis indicator is designed for short-term price rotation detection on XAUUSD, especially on the 1-minute timeframe.
It combines three momentum components—Stochastic, RSI, and OBV slope—to highlight potential reversal points and short-term scalping opportunities.
Core Logic
The script generates a signal only when multiple conditions align:
1. Stochastic Reversal (Timing Component)
A basic long/short trigger occurs when the Stochastic oscillator exits oversold (long) or overbought (short).
This represents a potential shift in short-term momentum.
2. RSI “Smart Rotation” Filter (Context Component)
Instead of using fixed oversold/overbought thresholds, the indicator checks whether RSI is turning:
Long: RSI is below a contextual ceiling (default 50) and rising
Short: RSI is above a contextual floor (default 55) and falling
This avoids premature entries during strong trending phases and confirms that momentum is actually rotating.
3. OBV Slope Filter (Volume Confirmation)
The On-Balance Volume trend is compared to its previous value:
Long: OBV slope improving
Short: OBV slope deteriorating
This helps confirm whether volume pressure is shifting in favor of the trade direction.
Both RSI and OBV filters can be enabled or disabled independently via the indicator settings.
Signals
Small circles mark raw Stochastic reversal points (unfiltered).
Green / red triangles represent validated long/short signals where all active filters agree.
Optional candle coloring highlights confirmed entry signals on the chart.
Use Cases
Intraday and scalping strategies on XAUUSD
Identifying short-term momentum reversals
Filtering noisy signals during high-volatility sessions
Studying how volume and momentum align around turning points
Customization
Users can adjust:
RSI contextual thresholds
Lookback periods
OBV slope sensitivity
Stochastic parameters
Activation of RSI and OBV filters
This flexibility allows the indicator to adapt to different market conditions and timeframes.
Disclaimer
This indicator does not provide financial advice or guarantee performance.
Always test any strategy on historical data and use proper risk management.
VWAP-Anchored MACD [BOSWaves]VWAP-Anchored MACD - Volume-Weighted Momentum Mapping With Zero-Line Filtering
Overview
The VWAP-Anchored MACD delivers a refined momentum model built on volume-weighted price rather than raw closes, giving you a more grounded view of trend strength during sessions, weeks, or months.
Instead of tracking two EMAs of price like a standard MACD, this tool reconstructs the MACD engine using anchored VWAP as the core input. The result is a momentum structure that reacts to real liquidity flow, filters out weak crossovers near the zero line, and visualizes acceleration shifts with clear, high-contrast gradients.
This indicator acts as a precise momentum map that adapts in real time. You see how weighted price is accelerating, where valid crossovers form, and when trend conviction is strong enough to justify execution.
It uses gradient line coloring to show bullish or bearish momentum, histogram shading to highlight energy shifts, cross dots to mark valid crossovers, optional buy/sell diamonds for execution cues, and candle coloring to display trend strength at a glance.
Theoretical Foundation
Traditional MACD compares the difference between two exponential moving averages of price.
This variant replaces price with anchored VWAP, making the calculation sensitive to actual traded volume across your chosen period (Session, Week, or Month).
Three principles drive the logic:
Anchored VWAP Momentum : Price is weighted by volume and aggregated across the selected anchor. The fast and slow VWAP-EMAs then expose how liquidity-corrected momentum is expanding or contracting.
Zero-Line Distance Filtering : Crossover signals that occur too close to the zero line are removed. This eliminates the common MACD problem of generating weak, directionless signals in choppy phases.
Directional Visualization : MACD line, signal line, histogram, candle colors, and optional diamond markers all react to shifts in VWAP-momentum, giving you a clean structural read on market pressure.
Anchoring VWAP to session, weekly, or monthly resets creates a systematic framework for tracking how capital flow is driving momentum throughout each trading cycle.
How It Works
The core engine processes momentum through several mapped layers:
VWAP Aggregation : Price × volume is accumulated until the anchor resets. This creates a continuous, liquidity-corrected VWAP curve.
MACD Construction : Fast and slow VWAP-EMAs define the MACD line, while a smoothed signal line identifies edges where momentum shifts.
Zero-Line Distance Filter : MACD and signal must both exceed a threshold distance from zero for a crossover to count as valid. This prevents fake crossovers during compression.
Visual Momentum Layers : It uses gradient line coloring to show bullish or bearish momentum, histogram shading to highlight energy shifts, cross dots to mark valid crossovers, optional buy/sell diamonds for execution cues, and candle coloring to display trend strength at a glance.
This layered structure ensures you always know whether momentum is strengthening, fading, or transitioning.
Interpretation
You get a clean, structural understanding of VWAP-based momentum:
Bullish Phases : MACD > Signal, histogram expands, candles turn bullish, and crossovers occur above the threshold.
Bearish Phases : MACD < Signal, histogram drives lower, candles shift bearish, and downward crossovers trigger below the threshold.
Neutral/Compression : Both lines remain near the zero boundary, histogram flattens, and signals are suppressed to avoid noise.
This creates a more disciplined version of MACD momentum reading - less noise, more conviction, and better alignment with liquidity.
Strategy Integration
Trend Continuation : Use VWAP-MACD crossovers that occur far from the zero line as higher-conviction entries.
Zero-Line Rejection : Watch for histogram contractions near zero to anticipate flattening momentum and potential reversal setups.
Session/Week/Month Anchors : Session anchor works best for intraday flows. Weekly or monthly anchor structures create cleaner macro momentum reads for swing trading.
Signal-Only Execution : Optional buy/sell diamonds give you direct points to trigger trades without overanalyzing the chart.
This indicator slots cleanly into any momentum-following system and offers higher signal quality than classic MACD variants due to the volume-weighted core.
Technical Implementation Details
VWAP Reset Logic : Session (D), Week (W), or Month (M)
Dynamic Fast/Slow VWAP EMAs : Fully configurable lengths, smoothing and anchor settings
MACD/Signal Line Framework : Traditional structure with volume-anchored input
Zero-Line Filtering : Adjustable threshold for structural confirmation
Dual Visualization Layers : MACD body + histogram + crosses + candle coloring
Optimized Performance : Lightweight, fast rendering across all timeframes
Optimal Application Parameters
Timeframes:
1- 15 min : Short-term momentum scalping and rapid trend shifts
30- 240 min : Balanced momentum mapping with clear structural filtering
Daily : Macro VWAP regime identification
Suggested Configuration:
Fast Length : 12
Slow Length : 26
Signal Length : 9
Zero Threshold : 200 - 500 depending on asset range
These suggested parameters should be used as a baseline; their effectiveness depends on the asset volatility, liquidity, and preferred entry frequency, so fine-tuning is expected for optimal performance.
Performance Characteristics
High Effectiveness:
Assets with strong intraday or session-based volume cycles
Markets where volume-weighted momentum leads price swings
Trend environments with strong acceleration
Reduced Effectiveness:
Ultra-choppy markets hugging the VWAP axis
Sessions with abnormally low volume
Ranges where MACD naturally compresses
Disclaimer
The VWAP-Anchored MACD is a structural momentum tool designed to enhance directional clarity - not a guaranteed predictor. Performance depends on market regime, volatility, and disciplined execution. Use it alongside broader trend, volume, and structural analysis for optimal results.
Relative Value & Risk Analytics DashboardThis is your risk-adjusted alpha analysis tool - exactly what hedge fund and insurance company clients want to see.
Attractiveness Score | Composite score combining RV and Risk (0-100)
Relative Performance | vs Benchmark (SET/SPY), RS Ratio Trend, 52W Position, Spread Z-Score
Risk Metrics | Beta, Alpha, Sharpe, Sortino, Information Ratio, Volatility
Correlation | Benchmark Correlation, R-Squared, Regime Change Detection
Pair Trade | Peer Correlation, Pair Z-Score, Long/Short Signals
Factor Exposure | Momentum (1/3/6M), Mean Reversion Signal, Distance from SMA50
Drawdown | Current DD, Max DD, Recovery Needed, Ulcer Index, Calmar, VaR
Key Features:
Benchmark-Relative Analysis: Compare any stock vs SET Index or any other benchmark
Pair Trade Signals: Automatically generates long/short signals based on Z-score
Risk-Adjusted Returns: Sharpe, Sortino, Information Ratio - what your clients actually care about
Regime Change Detection: Alert when correlation dynamics shift
Drawdown Risk: VaR, Ulcer Index, Calmar Ratio for risk-conscious clients
TTM Squeeze Pro Enhanced v1.5.1 [pyrevo]# TTM Squeeze Pro Enhanced
**Version:** 1.5.1
**Author:** pyrevo
**License:** MPL 2.0
## Credits
This indicator is a collective work based on the contributions of the TradingView community:
* **John Carter**: Creator of the original TTM Squeeze and TTM Squeeze Pro concepts.
* **Lazybear**: Original interpretation of the TTM Squeeze (Squeeze Momentum Indicator).
* **Makit0**: Evolution of Lazybear's script to factor in TTM Squeeze Pro upgrades (Squeeze PRO Arrows).
* **marsrides**: Some aesthetics solutions.
* **Beardy_Fred**: The base code from which this enhanced version was derived.
## Overview
**TTM Squeeze Pro Enhanced** is a professional-grade momentum and volatility indicator designed to identify explosive breakout opportunities. It is a refined version of the community's collective works, with amendments primarily to the Squeeze Conditions and visual aesthetics to provide a clearer, more actionable reading of market state.
### The Concept
For those unfamiliar with the TTM Squeeze, it is a visual way of seeing how Bollinger Bands (standard deviations from a simple moving average) relate to Keltner Channels (average true range bands) compared with the momentum of the price action.
The concept is that as Bollinger Bands compress within Keltner Channels, price volatility decreases, giving way for a potential explosive price movement up or down.
### TTM Squeeze vs. TTM Squeeze Pro
* **Original TTM Squeeze:** Uses a 1.5 ATR Keltner Channel.
* **TTM Squeeze Pro (Enhanced):** Uses 1.0, 1.5, and 2.0 ATR Keltner Channels.
This helps differentiate between levels of squeeze (compression). The greater the compression (Bollinger Bands moving deeper into tighter Keltner Channels), the more potential for explosive moves.
## Indicator Analysis
### 1. Squeeze Detection (Dots)
The colored dots along the zero line represent the state of market volatility. This enhanced version uses a distinct color palette to indicate compression levels:
* **🔴 Red Dots (High Compression):** Extreme squeeze. One or both Bollinger Bands are inside the 1.0 ATR Keltner Channel.
* **🟠 Orange Dots (Medium Compression):** Significant squeeze. One or both BBs are inside the 1.5 ATR Keltner Channel.
* **⚪ Gray Dots (Low Compression):** Standard squeeze. One or both BBs are inside the 2.0 ATR Keltner Channel.
* **◽ Light Gray Dots (No Squeeze):** Volatility is normal or expanding. Squeeze has "fired".
### 2. Momentum (Histogram)
The histogram bars show price momentum relative to the squeeze:
* **Bright Green:** Positive, increasing momentum (Bullish).
* **Dark Green:** Positive, decreasing momentum (Bullish exhaustion).
* **Bright Red:** Negative, increasing momentum (Bearish).
* **Dark Red:** Negative, decreasing momentum (Bearish exhaustion).
### 3. Dual Momentum System
An optional secondary system to gauge trend strength:
* **Fast & Slow Momentum Lines:** Moving averages of the momentum to help identify crossovers.
* **Trend Crossovers:** Triangle markers indicate when fast momentum crosses slow momentum.
## Ideal Scenario
As the ticker enters the squeeze, **Gray dots** would warn of the beginning of a low compression squeeze. As the Bollinger bands continue to constrict, **Orange dots** would highlight a medium compression. As the price action and momentum continues to compress, a **Red dot** shows warning of high compression.
As price action leaves the squeeze, the coloring would reverse (Red → Orange → Gray → Light Gray). Any compression squeeze is considered "fired" at the first Light Gray dot that appears.
*Note: This is an ideal progression, however any type of squeeze sequence may appear at anytime.*
## Entry and Exit Guide
* **Entry:** John Carter recommends entering a position after at least 5 dots of compression (Gray/Orange/Red) or waiting for the first "No Squeeze" dot (Light Gray) to appear with confirming momentum.
* **Exit:** Exit on the second bar of decreasing momentum (Dark Green or Dark Red), or remain in the position after confirming a continuing trend through a separate indicator.
## Settings & Customization
* **Timeframe:** Built-in Multi-Timeframe (MTF) support allowing you to view higher-timeframe squeeze signals on lower-timeframe charts.
* **Appearance Modes:**
* **Default:** Standard enhanced palette.
* **Modern:** High-contrast palette (Teal/Red/Gold).
* **Classic MACD:** Traditional Blue/Orange line configuration.
* **Dashboard:** An on-chart table providing real-time data on squeeze status, momentum value, and trend strength.
Kurtosis with Skew Crossover Focused OscillatorDescription:
This indicator highlights Skewness/Kurtosis crossovers for short-term trading:
Green upward arrows: Skew crosses above Kurtosis → potential long signal.
Red downward arrows: Skew crosses below Kurtosis → potential short signal.
Yellow upward arrows: Extreme negative skew (skew ≤ -1.7) → potential oversold/reversal opportunity.
Oscillator Pane:
Orange = Skewness (smoothed)
Blue = Kurtosis (adjusted, smoothed)
Zero line = visual reference
Usage:
Primarily for 2–5 minute charts, highlighting statistical anomalies and potential short-term reversals that can be used in conjunction with OBV and/or CVD
Arrows signal potential entries based on skew/kurt dynamics.
Potential ideas???????
---------------------------------------
Add Supporting Market Context
---------------------------------------
Currently, signals are purely based on skew/kurt crossovers. Adding supporting indicators could improve reliability:
Volume / CVD: Identify when crossovers occur with real buying/selling pressure.
Wick Imbalance: Detect forced moves in price structure.
Volatility Regime (Parkinson / ATR): Filter signals during high volatility spikes or compressions.
Experimentation: Try weighting these supporting signals to dynamically confirm or filter skew/kurt crossovers and see if false signals decrease on 2–5 minute charts.
--------------------------------------
Dynamic Thresholds & Scaling
--------------------------------------
Right now, the extreme skew signal is triggered at a fixed level (skew ≤ -1.7). Future improvements could include:
Adaptive thresholds: Scale extreme skew levels based on recent standard deviation or intraday volatility.
Kurtosis thresholds: Introduce a cutoff for kurtosis to identify “fat-tail” events.
Experimentation: Backtest different adaptive thresholds for both skew and kurt, and see how it affects the precision vs. frequency of signals.
--------------------------------------------------
Multi-Timeframe or Combined Oscillator
--------------------------------------------------
Skew/kurt signals could be combined across multiple intraday timeframes (e.g., 1-min, 3-min, 5-min) to improve confirmation.
Create a composite oscillator that blends short-term and slightly longer-term skew/kurt values to reduce noise.
Experimentation: Compare a single timeframe approach vs multi-timeframe composite, and measure signal reliability and lag.
I'm leaving this open so anyone can experiment with it as this project may be on the backburner, but these are my thoughts so far
VV Moving Average Convergence Divergence # VMACDv3 - Volume-Weighted MACD with A/D Divergence Detection
## Overview
**VMACDv3** (Volume-Weighted Moving Average Convergence Divergence Version 3) is a momentum indicator that applies volume-weighting to traditional MACD calculations on price, while using the Accumulation/Distribution (A/D) line for divergence detection. This hybrid approach combines volume-weighted price momentum with volume distribution analysis for comprehensive market insight.
## Key Features
- **Volume-Weighted Price MACD**: Traditional MACD calculation on price but weighted by volume for earlier signals
- **A/D Divergence Detection**: Identifies when A/D trend diverges from MACD momentum
- **Volume Strength Filtering**: Distinguishes high-volume confirmations from low-volume noise
- **Color-Coded Histogram**: 4-color system showing momentum direction and volume strength
- **Real-Time Alerts**: Background colors and alert conditions for bullish/bearish divergences
## Difference from ACCDv3
| Aspect | VMACDv3 | ACCDv3 |
|--------|---------|---------|
| **MACD Input** | **Price (Close)** | **A/D Line** |
| **Volume Weighting** | Applied to price | Applied to A/D line |
| **Primary Signal** | Volume-weighted price momentum | Volume distribution momentum |
| **Use Case** | Price momentum with volume confirmation | Volume flow and accumulation/distribution |
| **Sensitivity** | More responsive to price changes | More responsive to volume patterns |
| **Best For** | Trend following, breakouts | Volume analysis, smart money tracking |
**Key Insight**: VMACDv3 shows *where price is going* with volume weight, while ACCDv3 shows *where volume is accumulating/distributing*.
## Components
### 1. Volume-Weighted MACD on Price
Unlike standard MACD that uses simple price EMAs, VMACDv3 weights each price by its corresponding volume:
```
Fast Line = EMA(Price × Volume, 12) / EMA(Volume, 12)
Slow Line = EMA(Price × Volume, 26) / EMA(Volume, 26)
MACD = Fast Line - Slow Line
```
**Benefits of Volume Weighting**:
- High-volume price movements have greater impact
- Filters out low-volume noise and false moves
- Provides earlier trend change signals
- Better reflects institutional activity
### 2. Accumulation/Distribution (A/D) Line
Used for divergence detection, measuring buying/selling pressure:
```
A/D = Σ ((2 × Close - Low - High) / (High - Low)) × Volume
```
- **Rising A/D**: Accumulation (buying pressure)
- **Falling A/D**: Distribution (selling pressure)
- **Doji Handling**: When High = Low, contribution is zero
### 3. Signal Lines
- **MACD Line** (Blue, #2962FF): The fast-slow difference showing momentum
- **Signal Line** (Orange, #FF6D00): EMA or SMA smoothing of MACD
- **Zero Line**: Reference for bullish (above) vs bearish (below) bias
### 4. Histogram Color System
The histogram uses 4 distinct colors based on **direction** and **volume strength**:
| Condition | Color | Meaning |
|-----------|-------|---------|
| Rising + High Volume | **Dark Green** (#1B5E20) | Strong bullish momentum with volume confirmation |
| Rising + Low Volume | **Light Teal** (#26A69A) | Bullish momentum but weak volume (less reliable) |
| Falling + High Volume | **Dark Red** (#B71C1C) | Strong bearish momentum with volume confirmation |
| Falling + Low Volume | **Light Pink** (#FFCDD2) | Bearish momentum but weak volume (less reliable) |
Additional shading:
- **Light Cyan** (#B2DFDB): Positive but not rising (momentum stalling)
- **Bright Red** (#FF5252): Negative and accelerating down
### 5. Divergence Detection
VMACDv3 compares A/D trend against volume-weighted price MACD:
#### Bullish Divergence (Green Background)
- **Condition**: A/D is trending up BUT MACD is negative and trending down
- **Interpretation**: Volume is accumulating while price momentum appears weak
- **Signal**: Smart money accumulation, potential bullish reversal
- **Action**: Look for long entries, especially at support levels
#### Bearish Divergence (Red Background)
- **Condition**: A/D is trending down BUT MACD is positive and trending up
- **Interpretation**: Volume is distributing while price momentum appears strong
- **Signal**: Smart money distribution, potential bearish reversal
- **Action**: Consider exits, avoid new longs, watch for breakdown
## Parameters
| Parameter | Default | Range | Description |
|-----------|---------|-------|-------------|
| **Source** | Close | OHLC/HLC3/etc | Price source for MACD calculation |
| **Fast Length** | 12 | 1-50 | Period for fast EMA (shorter = more sensitive) |
| **Slow Length** | 26 | 1-100 | Period for slow EMA (longer = smoother) |
| **Signal Smoothing** | 9 | 1-50 | Period for signal line (MACD smoothing) |
| **Signal Line MA Type** | EMA | SMA/EMA | Moving average type for signal calculation |
| **Volume MA Length** | 20 | 5-100 | Period for volume average (strength filter) |
## Usage Guide
### Reading the Indicator
1. **MACD Lines (Blue & Orange)**
- **Blue Line (MACD)**: Volume-weighted price momentum
- **Orange Line (Signal)**: Smoothed trend of MACD
- **Crossovers**: Blue crosses above orange = bullish, below = bearish
- **Distance**: Wider gap = stronger momentum
- **Zero Line Position**: Above = bullish bias, below = bearish bias
2. **Histogram Colors**
- **Dark Green (#1B5E20)**: Strong bullish move with high volume - **most reliable buy signal**
- **Light Teal (#26A69A)**: Bullish but low volume - wait for confirmation
- **Dark Red (#B71C1C)**: Strong bearish move with high volume - **most reliable sell signal**
- **Light Pink (#FFCDD2)**: Bearish but low volume - may be temporary dip
3. **Background Divergence Alerts**
- **Green Background**: A/D accumulating while price weak - potential bottom
- **Red Background**: A/D distributing while price strong - potential top
- Most powerful at key support/resistance levels
### Trading Strategies
#### Strategy 1: Volume-Confirmed Trend Following
1. Wait for MACD to cross above zero line
2. Look for **dark green** histogram bars (high volume confirmation)
3. Enter long on second consecutive dark green bar
4. Hold while histogram remains green
5. Exit when histogram turns light green or red appears
6. Set stop below recent swing low
**Example**:
```
Price: 26,400 → 26,450 (rising)
MACD: -50 → +20 (crosses zero)
Histogram: Light teal → Dark green → Dark green
Volume: 50k → 75k → 90k (increasing)
```
#### Strategy 2: Divergence Reversal Trading
1. Identify divergence background (green = bullish, red = bearish)
2. Confirm with price structure (support/resistance, chart patterns)
3. Wait for MACD to cross signal line in divergence direction
4. Enter on first **dark colored** histogram bar after divergence
5. Set stop beyond divergence area
6. Target previous swing high/low
**Example - Bullish Divergence**:
```
Price: Making lower lows (26,350 → 26,300 → 26,250)
A/D: Rising (accumulation)
MACD: Below zero but starting to curve up
Background: Green shading appears
Entry: MACD crosses signal line + dark green bar
Stop: Below 26,230
Target: 26,450 (previous high)
```
#### Strategy 3: Momentum Scalping
1. Trade only in direction of MACD zero line (above = long, below = short)
2. Enter on dark colored bars only
3. Exit on first light colored bar or opposite color
4. Quick in and out (1-5 minute holds)
5. Tight stops (0.2-0.5% depending on instrument)
#### Strategy 4: Histogram Pattern Trading
**V-Bottom Reversal (Bullish)**:
- Red histogram bars start rising (becoming less negative)
- Forms "V" shape at the bottom
- Transitions to light red → light teal → **dark green**
- Entry: First dark green bar
- Signal: Momentum reversal with volume
**Λ-Top Reversal (Bearish)**:
- Green histogram bars start falling (becoming less positive)
- Forms inverted "V" at the top
- Transitions to light green → light pink → **dark red**
- Entry: First dark red bar
- Signal: Momentum exhaustion with volume
### Multi-Timeframe Analysis
**Recommended Approach**:
1. **Higher Timeframe (15m/1h)**: Identify overall trend direction
2. **Trading Timeframe (5m)**: Time entries using VMACDv3 signals
3. **Lower Timeframe (1m)**: Fine-tune entry prices
**Example Setup**:
```
15-minute: MACD above zero (bullish bias)
5-minute: Dark green histogram appears after pullback
1-minute: Enter on break of recent high with volume
```
### Volume Strength Interpretation
The volume filter compares current volume to 20-period average:
- **Volume > Average**: Dark colors (green/red) - high confidence signals
- **Volume < Average**: Light colors (teal/pink) - lower confidence signals
**Trading Rules**:
- ✓ **Aggressive**: Take all dark colored signals
- ✓ **Conservative**: Only take dark colors that follow 2+ light colors of same type
- ✗ **Avoid**: Trading light colored signals during high volatility
- ✗ **Avoid**: Ignoring volume context during news events
## Technical Details
### Volume-Weighted Calculation
```pine
// Volume-weighted fast EMA
fast_ma = ta.ema(src * volume, fast_length) / ta.ema(volume, fast_length)
// Volume-weighted slow EMA
slow_ma = ta.ema(src * volume, slow_length) / ta.ema(volume, slow_length)
// MACD is the difference
macd = fast_ma - slow_ma
// Signal line smoothing
signal = ta.ema(macd, signal_length) // or ta.sma() if SMA selected
// Histogram
hist = macd - signal
```
### Divergence Detection Logic
```pine
// A/D trending up if above its 5-period SMA
ad_trend = ad > ta.sma(ad, 5)
// MACD trending up if above zero
macd_trend = macd > 0
// Divergence when trends oppose each other
divergence = ad_trend != macd_trend
// Specific conditions for alerts
bullish_divergence = ad_trend and not macd_trend and macd < 0
bearish_divergence = not ad_trend and macd_trend and macd > 0
```
### Histogram Coloring Logic
```pine
hist_color = (hist >= 0
? (hist < hist
? (vol_strength ? #1B5E20 : #26A69A) // Rising: dark/light green
: #B2DFDB) // Positive but falling: cyan
: (hist < hist
? (vol_strength ? #B71C1C : #FFCDD2) // Rising (less negative): dark/light red
: #FF5252)) // Falling more: bright red
```
## Alerts
Built-in alert conditions for divergence detection:
### Bullish Divergence Alert
- **Trigger**: A/D trending up, MACD negative and trending down
- **Message**: "Bullish Divergence: A/D trending up but MACD trending down"
- **Use Case**: Potential reversal or continuation after pullback
- **Action**: Look for long entry setups
### Bearish Divergence Alert
- **Trigger**: A/D trending down, MACD positive and trending up
- **Message**: "Bearish Divergence: A/D trending down but MACD trending up"
- **Use Case**: Potential top or trend reversal
- **Action**: Consider exits or short entries
### Setting Up Alerts
1. Click "Create Alert" in TradingView
2. Condition: Select "VMACDv3"
3. Choose alert type: "Bullish Divergence" or "Bearish Divergence"
4. Configure: Email, SMS, webhook, or popup
5. Set frequency: "Once Per Bar Close" recommended
## Comparison Tables
### VMACDv3 vs Standard MACD
| Feature | Standard MACD | VMACDv3 |
|---------|---------------|---------|
| **Price Weighting** | Equal weight all bars | Volume-weighted |
| **Sensitivity** | Fixed | Adaptive to volume |
| **False Signals** | More during low volume | Fewer (volume filter) |
| **Divergence** | Price vs MACD | A/D vs MACD |
| **Volume Analysis** | None | Built-in |
| **Color System** | 2 colors | 4+ colors |
| **Best For** | Simple trend following | Volume-confirmed trading |
### VMACDv3 vs ACCDv3
| Aspect | VMACDv3 | ACCDv3 |
|--------|---------|--------|
| **Focus** | Price momentum | Volume distribution |
| **Reactivity** | Faster to price moves | Faster to volume shifts |
| **Best Markets** | Trending, breakouts | Accumulation/distribution phases |
| **Signal Type** | Where price + volume going | Where smart money positioning |
| **Divergence Meaning** | Volume vs price disagreement | A/D vs momentum disagreement |
| **Use Together?** | ✓ Yes, complementary | ✓ Yes, different perspectives |
## Example Trading Scenarios
### Scenario 1: Strong Bullish Breakout
```
Time: 9:30 AM (market open)
Price: Breaks above 26,400 resistance
MACD: Crosses above zero line
Histogram: Dark green bars (#1B5E20)
Volume: 2x average (150k vs 75k avg)
A/D: Rising (no divergence)
Action: Enter long at 26,405
Stop: 26,380 (below breakout)
Target 1: 26,450 (risk:reward 1:2)
Target 2: 26,500 (risk:reward 1:4)
Result: High probability setup with volume confirmation
```
### Scenario 2: False Breakout (Avoided)
```
Time: 2:30 PM (slow period)
Price: Breaks above 26,400 resistance
MACD: Slightly positive
Histogram: Light teal bars (#26A69A)
Volume: 0.5x average (40k vs 75k avg)
A/D: Flat/declining
Action: Avoid trade
Reason: Low volume, no conviction, potential false breakout
Outcome: Price reverses back below 26,400 within 10 minutes
Saved: Avoided losing trade due to volume filter
```
### Scenario 3: Bullish Divergence Bottom
```
Time: 11:00 AM
Price: Making lower lows (26,350 → 26,300 → 26,280)
MACD: Below zero but curving upward
Histogram: Red bars getting shorter (V-bottom forming)
Background: Green shading (divergence alert)
A/D: Rising despite price falling
Volume: Increasing on down bars
Setup:
1. Divergence appears at 26,280 (green background)
2. Wait for MACD to cross signal line
3. First dark green bar appears at 26,290
4. Enter long: 26,295 (next bar open)
5. Stop: 26,265 (below divergence low)
6. Target: 26,350 (previous swing high)
Result: +55 points (30 point risk, 1.8:1 reward)
Key: Divergence + volume confirmation = high probability reversal
```
### Scenario 4: Bearish Divergence Top
```
Time: 1:45 PM
Price: Making higher highs (26,500 → 26,520 → 26,540)
MACD: Positive but flattening
Histogram: Green bars getting shorter (Λ-top forming)
Background: Red shading (bearish divergence)
A/D: Declining despite rising price
Volume: Decreasing on up bars
Setup:
1. Bearish divergence at 26,540 (red background)
2. MACD crosses below signal line
3. First dark red bar appears at 26,535
4. Enter short: 26,530
5. Stop: 26,555 (above divergence high)
6. Target: 26,475 (support level)
Result: +55 points (25 point risk, 2.2:1 reward)
Key: Distribution while price rising = smart money exiting
```
### Scenario 5: V-Bottom Reversal
```
Downtrend in progress
MACD: Deep below zero (-150)
Histogram: Series of dark red bars
Pattern Development:
Bar 1: Dark red, hist = -80, falling
Bar 2: Dark red, hist = -95, falling
Bar 3: Dark red, hist = -100, falling (extreme)
Bar 4: Light pink, hist = -98, rising!
Bar 5: Light pink, hist = -90, rising
Bar 6: Light teal, hist = -75, rising (crosses to positive momentum)
Bar 7: Dark green, hist = -55, rising + volume
Action: Enter long on Bar 7
Reason: V-bottom confirmed with volume
Stop: Below Bar 3 low
Target: Zero line on histogram (mean reversion)
```
## Best Practices
### Entry Rules
✓ **Wait for dark colors**: High-volume confirmation is key
✓ **Confirm divergences**: Use with price support/resistance
✓ **Trade with zero line**: Long above, short below for best odds
✓ **Multiple timeframes**: Align 1m, 5m, 15m signals
✓ **Watch for patterns**: V-bottoms and Λ-tops are reliable
### Exit Rules
✓ **Partial profits**: Take 50% at first target
✓ **Trail stops**: Use histogram color changes
✓ **Respect signals**: Exit on opposite dark color
✓ **Time stops**: Close positions before major news
✓ **End of day**: Square up before close
### Avoid
✗ **Don't chase light colors**: Low volume = low confidence
✗ **Don't ignore divergence**: Early warning system
✗ **Don't overtrade**: Wait for clear setups
✗ **Don't fight the trend**: Zero line dictates bias
✗ **Don't skip stops**: Always use risk management
## Risk Management
### Position Sizing
- **Dark green/red signals**: 1-2% account risk
- **Light signals**: 0.5% account risk or skip
- **Divergence plays**: 1% account risk (higher uncertainty)
- **Multiple confirmations**: Up to 2% account risk
### Stop Loss Placement
- **Trend trades**: Below/above recent swing (20-30 points typical)
- **Breakout trades**: Below/above breakout level (15-25 points)
- **Divergence trades**: Beyond divergence extreme (25-40 points)
- **Scalp trades**: Tight stops at 10-15 points
### Profit Targets
- **Minimum**: 1.5:1 reward to risk ratio
- **Scalps**: 15-25 points (quick in/out)
- **Swing**: 50-100 points (hold through pullbacks)
- **Runners**: Trail with histogram color changes
## Timeframe Recommendations
| Timeframe | Trading Style | Typical Hold | Advantages | Challenges |
|-----------|---------------|--------------|------------|------------|
| **1-minute** | Scalping | 1-5 minutes | Fast profits, many setups | Noisy, high false signals |
| **5-minute** | Intraday | 15-60 minutes | Balance of speed/clarity | Still requires quick decisions |
| **15-minute** | Swing | 1-4 hours | Clearer trends, less noise | Fewer opportunities |
| **1-hour** | Position | 4-24 hours | Strong signals, less monitoring | Wider stops required |
**Recommendation**: Start with 5-minute for best balance of signal quality and opportunity frequency.
## Combining with Other Indicators
### VMACDv3 + ACCDv3
- **Use**: Confirm volume flow with price momentum
- **Signal**: Both showing dark green = highest conviction long
- **Divergence**: VMACDv3 bullish + ACCDv3 bearish = examine price action
### VMACDv3 + RSI
- **Use**: Overbought/oversold with momentum confirmation
- **Signal**: RSI < 30 + dark green VMACD = strong reversal
- **Caution**: RSI > 70 + light green VMACD = potential false breakout
### VMACDv3 + Elder Impulse
- **Use**: Bar coloring + histogram confirmation
- **Signal**: Green Elder bars + dark green VMACD = aligned momentum
- **Exit**: Blue Elder bars + light colors = momentum stalling
## Limitations
- **Requires volume data**: Will not work on instruments without volume feed
- **Lagging indicator**: MACD inherently follows price (2-3 bar delay)
- **Consolidation noise**: Generates false signals in tight ranges
- **Gap handling**: Large gaps can distort volume-weighted values
- **Not standalone**: Should combine with price action and support/resistance
## Troubleshooting
**Problem**: Too many light colored signals
**Solution**: Increase Volume MA Length to 30-40 for stricter filtering
**Problem**: Missing entries due to waiting for dark colors
**Solution**: Lower Volume MA Length to 10-15 for more signals (accept lower quality)
**Problem**: Divergences not appearing
**Solution**: Verify volume data available; check if A/D line is calculating
**Problem**: Histogram colors not changing
**Solution**: Ensure real-time data feed; refresh indicator
## Version History
- **v3**: Removed traditional MACD, using volume-weighted MACD on price with A/D divergence
- **v2**: Added A/D divergence detection, volume strength filtering, enhanced histogram colors
- **v1**: Basic volume-weighted MACD on price
## Related Indicators
**Companion Tools**:
- **ACCDv3**: Volume-weighted MACD on A/D line (distribution focus)
- **RSIv2**: RSI with A/D divergence detection
- **DMI**: Directional Movement Index with A/D divergence
- **Elder Impulse**: Bar coloring system using volume-weighted MACD
**Use Together**: VMACDv3 (momentum) + ACCDv3 (distribution) + Elder Impulse (bar colors) = complete volume-based trading system
---
*This indicator is for educational purposes. Past performance does not guarantee future results. Always practice proper risk management and never risk more than you can afford to lose.*
Supertrend + MACD + HMAIndicator Description: Supertrend + MACD + HMA
General Summary
It is a composite technical indicator that combines three analysis tools to generate buy and sell signals in institutional trading. It uses confirmation from multiple indicators to increase the precision of market entries.
Components
1. Supertrend (ST)
Function: Identifies the main market trend (bullish or bearish)
Parameters: ATR Length 10, Factor 3.0
Visualization:
Green line = Bullish trend
Red line = Bearish trend
Semi-transparent green/red background that fills the area according to direction
How it works: Uses ATR (Average True Range) to calculate dynamic support and resistance bands
2. MACD (Moving Average Convergence Divergence)
Function: Measures price momentum and direction
Parameters: Fast 18, Slow 144, Signal Smoothing 9
Components:
MACD Line (orange): Difference between two EMAs
Signal Line (purple): EMA of the MACD
Histogram (green/red columns): Difference between MACD and its signal
Green = Positive histogram (bullish momentum)
Red = Negative histogram (bearish momentum)
3. HMA 100 (Hull Moving Average)
Function: Identifies support/resistance level and price direction
Parameters: Length 100
Visualization: Blue thick line
Characteristics:
Less lag than traditional moving averages
Price > HMA = Bullish trend
Price < HMA = Bearish trend
Signal Logic
🟢 BUY SIGNAL
Generated when ANY of these conditions is met:
Total Confluence:
MACD positive (histogram > 0)
Price above HMA 100
Supertrend in Bullish mode
Supertrend Change:
Supertrend changes from Bearish to Bullish
MACD remains positive
Price above HMA
Price Crossover:
Price crosses above HMA (at candle close)
Supertrend is in Bullish mode
MACD is positive
🔴 SELL SIGNAL
Generated when ANY of these conditions is met:
Total Confluence:
MACD negative (histogram < 0)
Price below HMA 100
Supertrend in Bearish mode
Supertrend Change:
Supertrend changes from Bullish to Bearish
MACD remains negative
Price Crossover:
Price crosses below HMA (at candle close)
Supertrend is in Bearish mode
MACD is negative
Important Features
✅ Single Signal Per Type
Once a BUY is generated, no other BUY is generated until a SELL appears
Avoids multiple entries in the same direction
✅ Crossover Detection
The indicator generates signals at candle close when price crosses HMA
Allows capturing quick market moves
✅ Trend Changes
Detects when Supertrend changes direction
Provides early exits from the market
✅ Automatic Alerts
Push notifications when BUY or SELL is generated
Ideal for automated trading






















