Multi-Group EMAs with Custom TFIndicator Name: Sri – Multi-Group EMAs with Custom Timeframes
Short Title: Sri-MA Groups
Overlay: Yes
Description:
The Sri – Multi-Group EMAs indicator is designed for multi-timeframe analysis, allowing traders to visualize trend direction across short, medium, and long-term perspectives using Exponential Moving Averages (EMAs). It is perfect for swing trading, intraday setups, and long-term trend assessment.
Key Features:
Three Independent EMA Groups:
EMA 1 Group: 20, 50, 200 EMAs – default timeframe 1 Hour (short-term trend)
EMA 2 Group: 200 EMA – default timeframe Daily (medium-term trend)
EMA 3 Group: 20, 50, 200 EMAs – default timeframe Weekly (long-term trend)
Custom Timeframe Selection (CTF):
Users can select a custom timeframe for each EMA group to match their trading strategy.
Dynamic Coloring:
Each EMA changes color based on the current direction: bullish EMAs in one color, bearish in another, allowing quick trend assessment at a glance.
Overlay on Chart:
All EMAs are plotted directly on the price chart for easy visualization.
User-Friendly Options:
Toggle visibility of EMAs on/off
Independent length and timeframe inputs for each EMA group
Use Case:
Quickly assess trend strength across multiple timeframes.
Identify short-term pullbacks in the context of daily or weekly trends.
Integrate with other technical tools for multi-timeframe strategy confirmation.
Recommended For: Traders looking for a clear visual representation of trend across multiple timeframes without cluttering the chart with too many indicators.
趋势分析
Sri-CPR: 4 Time Frame Indicator Name: Sri-CPR: 4 Time Frame
Short Title: Sri - CPR Plus
Overlay: Yes
Description:
The Sri-CPR: 4 Time Frame indicator is a comprehensive multi-timeframe pivot tool designed for traders focusing on short-term, swing, and long-term price action. It calculates and visually displays Central Pivot Range (CPR) levels across four key timeframes—Daily, Weekly, Monthly, and Half-Yearly—allowing traders to identify critical support and resistance zones at multiple trading horizons.
Key features include:
Four CPR Timeframes: Daily, Weekly, Monthly, and Half-Yearly.
Multiple Support and Resistance Levels: S1–S5 and R1–R5, customizable with distinct colors for easy identification.
Short, Swing, and Long-Term Trading Focus: Each CPR level is tailored to provide insight into different trading strategies.
Developing CPR Levels: Highlighting intraday pivot evolution to anticipate upcoming support/resistance zones.
Flexible Visualization: Show/hide CPR lines, labels, prices, and extend lines to account for holidays or chart gaps.
Traditional, Fibonacci, Classic, and Camarilla Pivot Types: Choose the calculation method that best suits your trading style.
Historical and Real-Time SR Levels: Display both historical and current support/resistance levels for enhanced decision-making.
Enhanced Chart Readability: Each pivot level is color-coded for quick visual reference, and line fills highlight the CPR range.
This indicator is ideal for traders who want a complete pivot analysis across multiple timeframes, enabling more informed decisions for short-term scalping, swing trades, or long-term positional strategies.
Trade Management V.01The Trend-Confluence Trade Manager
Description:
Overview
For Best Result - USE 5 minute time frame.
Tired of cluttering your charts with dozens of separate indicators? The Trend-Confluence Trade Manager is a comprehensive, all-in-one suite designed to bring clarity, structure, and a professional edge to your trading.
This powerful tool seamlessly integrates a multi-timeframe trend analysis engine with a complete trade and performance management system, displaying everything you need in a clean, intuitive interface directly on your chart. It's built to help you stay on the right side of the market, make informed decisions, and manage your trades from entry to exit with precision.
Key Features
Dynamic Multi-Timeframe Trend Dashboard: At a single glance, instantly understand the market sentiment across the Daily, 4-Hour, and 1-Hour timeframes. The indicator calculates a powerful "Majority Trend" to serve as your primary guide, helping you avoid low-probability counter-trend trades.
Intelligently Filtered Trade Signals: Receive clear, non-repainting "Buy" and "Sell" signals directly on your chart. These signals are generated by our core momentum engine and are then intelligently filtered by the higher-timeframe trend analysis.
Adaptive Buy Logic: Long signals are designed to be more responsive to emerging momentum, capturing opportunities as the 1-Hour trend aligns.
Conservative Sell Logic: Short signals require stricter confirmation from the overall Majority Trend, providing an extra layer of confidence in bearish markets.
Complete On-Chart Trade Management: Once a signal appears, the indicator provides a full suite of management tools:
Multi-Level Take Profits (up to 4 configurable targets).
Automated Break-Even Stop Trigger.
Clear labels for TP hits and stop-outs.
Filtered Stop-and-Reverse signals for dynamic market conditions.
Comprehensive Performance Dashboards: Track your progress with detailed, automated statistics panels:
Monthly P&L Table: Monitor your current and previous month's performance in pips.
Monthly Stats Table: See total trades and profit generated from each Take Profit level for the current month.
Daily Stats Table: Keep track of your real-time P&L for the current trading day.
Classic Technical Analysis Suite: To provide essential market context, the indicator also includes:
Daily Pivots: Automatically calculated and plotted R1-S3 levels with a convenient on-screen table.
Moving Averages & Bollinger Bands: A classic overlay to help identify dynamic support, resistance, and volatility.
Proprietary Momentum Gap Detector: A unique visual tool that identifies significant three-bar price voids, highlighting key areas that may act as future magnets for price.
How to Use
Check the Trend: Start by consulting the Multi-Timeframe Trend Dashboard in the top-left corner. Is the "Majority" trend Bullish or Bearish?
Wait for a Signal: Look for a filtered "Buy" signal when the trend is bullish, or a "Sell" signal when the trend is bearish.
Find Confluence: Use the integrated tools like Daily Pivots, MAs, and Momentum Gaps to add further confirmation to your trade idea.
Manage the Trade: Follow your trading plan using the automated Take Profit levels and Break-Even logic provided.
Customization
This tool is highly customizable to fit your personal trading style. In the settings, you can adjust:
Lot Size, Take Profit & Break-Even Levels.
All parameters for the EMAs and other indicators.
Full color customization for all tables, allowing you to match any chart theme.
Disclaimer: This tool is designed to be an aid for discretionary traders and should not be considered a standalone "get rich quick" system. All trading involves risk. Always use proper risk management and backtest any strategy thoroughly before trading with real capital.
SicariSicari
What is it?
Sicari is a trend-following trading system that identifies potential bullish or bearish trends. It blends EMA trend, OBV participation, and an Adaptive SuperTrend gate (machine-learning k-means over ATR bands) into a strict 2-of-3 confirmation model.
By default, it uses a clean two-colour scheme: 🟢 green = long bias and 🔴 red = short bias.
Optionally, a four-colour mode exposes hedge and early-risk conditions.
Sicari works across all asset classes and timeframes (recommended: 15-minute to monthly).
How it works
* Auto mode adapts by timeframe: ≤60m uses a Hard-Gate where SuperTrend must confirm to flip; >60m uses Majority mode where OBV carries more weight for faster reversals
* Voters are EMA, OBV, and Adaptive SuperTrend; a flip requires 2 of 3 agreement (Hard-Gate also needs ST)
* Optional four-colour candles highlight hedge state when voters disagree. The hedge direction is OBV-led (↑ / ↓ tint), helping you trim risk or wait for full confirmation.
* Multi-Timeframe Trend Bias panel (1H, 4H, 1D, 1W): left dot = live bias for that TF; Four dots on the right show = last four closed bars (newest on right). In 4-colour mode, the left/current dot follows 4-colour logic, history dots remain 2-colour for stability. Compact mode optionally shows only current dots per TF.
What you can plot
* Candles: two-colour by default (🟢 long / 🔴 short); optional 4-colour hedge mode (OBV-led ↑/↓ tint).
* Triangles: mark long/short flips.
* Multi-Timeframe Trend Bias panel: 1H / 4H / 1D / 1W
* VWAPs: Session + Weekly VWAP for fair-value anchoring.
* Moving Averages: Daily 20/50 (non-repainting) and Weekly 20/50/100 stair-step MAs for structure.
* Dynamic ATR Stops: step-line long/short stop bands for risk control and stopped-out detection.
* RSI Take-Profit markers: X-shaped markers on the chart TF (touch / re-entry logic)
* 4H RSI Diamonds: non-repainting diamonds confirming on 4H close
Combined Asset Volume (crypto-aware)
* One toggle aggregates spot volume across major venues
* Majors (BTC/ETH): Binance + Coinbase + Bitfinex + Kraken (USD/USDT/USDC)
* Alts: Binance + Bybit + KuCoin + Coinbase (lean, USDT/USD)
* CRYPTOCAP indexes, non-crypto or FX pairs automatically fall back to the chart’s own volume
* OBV has a unit-volume fallback when volume data is missing
Alerts (programmatic or traditional)
* Programmatic (recommended): Create one alert → “Any alert() function call”. This single alert respects your chosen settings (asset, timeframe, 2/four-colour mode, RSI levels, chop/flip cooldown, stops on/off, etc.) and fires for all enabled conditions once-per-bar-close. Long/short signals trigger only at flips, not every bar.
* Traditional: add specific alerts only for what you want (entries, exits, etc.)
Alert list (fires on bar close)
* 🚀🟢 LONG entry
* 🔻🔴 SHORT entry
* 🟡 HEDGE LONG (four-colour mode)
* 🟠 HEDGE SHORT (four-colour mode)
* 🎯 Take Profit Long (RSI-based)
* 🎯 Take Profit Short (RSI-based)
* 💥🔴 HTF Super SHORT (4H RSI diamond)
* 🚀🟢 HTF Super LONG (4H RSI diamond)
* 💀 Stopped Out of Short (dynamic ATR stop)
* 💀 Stopped Out of Long (dynamic ATR stop)
Programmatic alerts include tick-aware thousands separators and VWAP references on intraday charts for mobile readability
Setup & tips
* After adding Sicari: Click the three dots next to the script name → Visual order → Bring to front. This hides the original candles so Sicari’s candles are fully visible
* Keep Auto mode ON; enable 4-colour only if you want hedge awareness; toggle VWAPs and MAs as structure guides
* Works on crypto, indices, FX and equities - any symbol, ny timeframe
* Use standard candles (not Heikin Ashi)
* Colours optimised for dark backgrounds
Sicari distills trend, participation, and structure into one adaptive stream - delivering institutional-grade precision, clarity, and timing within the Sicari ecosystem.
Volume Imbalances & Gann's Square IndicatorVolume Imbalances & Gann's Square Indicator:
This script is a comprehensive trading toolkit designed to help intraday and swing traders identify high-probability trade setups by combining the strengths of Gann's Theory, price-volume analysis, and multi-indicator signal confirmation in one indicator.
Key Features and Their Roles:
Gann’s S/R Levels:
Calculates main and auxiliary support/resistance lines using Gann’s “odd square” approach based on the current price. Levels are projected historically and into the future to clearly visualize critical zones for potential reversals and breakouts.
Volume*Price (VP) Spike Table:
Detects and displays real-time buy and sell volume spikes above a configurable threshold, highlighting large market transactions. The on-chart table summarizes recent major spikes with time and price for context, resetting every session.
Multi-EMA & VWAP Logic:
Integrates three customizable EMAs, VWAP, and Supertrend. Users can toggle signals from EMA crossovers, price-VWAP positioning, or Supertrend direction to match their preferred trading style and filter signals for trend or mean-reversion strategies.
Buy/Sell Labels and Signal Source Control:
Clearly plots buy/sell marker labels with customizable text, color, and size, based on the chosen signal source (EMA cross, VWAP, Supertrend). Labels offset from candles for easy visibility.
First Candle Range & Session Tools:
Plots the initial range (high, low, and midpoint) of a user-defined session, helping visualize and trade session breakouts or range retests. Session logic ensures all statistical tables and levels reset at session start.
Automated Risk/Reward Table:
Instantly calculates capital allocation, stop-loss, potential quantity, and two profit targets for both long and short trades. Helps traders plan size and risk per trade in compliance with risk management principles.
Highest/Lowest VP Markers:
Highlights the day’s peak and trough volume*price values for context on institutional buying or selling pressure.
Previous Day Range Plotter:
Draws previous session’s high/low levels for reliable reference zones and potential trade targets.
Integration Rationale:
All components are thoughtfully integrated to provide a holistic decision-making workflow:
Volume/price spikes act as momentum or liquidity signals.
Gann levels define the “where” for reaction or breakout trades.
Signal logics (EMA/VWAP/Supertrend) answer the “when,” enabling higher-confidence entries only when multiple conditions align.
How to Use:
Select your preferred inputs for EMAs, VWAP, and risk settings in the panel.
Analyze the chart for signals where buy/sell labels align with fresh VP spikes near Gann or previous day support/resistance.
Use the risk/reward table for strict money management.
Reference spike tables and session range for contextual confirmation.
Visuals and Chart Guidance:
The script displays only essential tables, lines, and labels described above.
All chart elements are explained in this description—no external scripts needed for interpretation.
Each table and marker is linked to actionable trading logic, eliminating clutter.
Closed-source Explanation:
The indicator uses session-based calculations, real-time data arrays, and proprietary math to unify Gann theory logic, large transaction detection, and multi-indicator confirmation. All major trade conditions have alert signals for ready integration with TradingView’s alert system.
HTF Fibonacci on intraday ChartThis indicator plots Higher Timeframe (HTF) Fibonacci retracement levels directly on your intraday chart, allowing you to visualize how the current price action reacts to key retracement zones derived from the higher timeframe trend.
Concept
Fibonacci retracement levels are powerful tools used to identify potential support and resistance zones within a price trend.
However, these levels are often calculated on a higher timeframe (like Daily or Weekly), while most traders execute entries on lower timeframes (like 15m, 30m, or 1H).
This indicator bridges that gap — it projects the higher timeframe’s Fibonacci levels onto your current intraday chart, helping you see where institutional reactions or swing pivots might occur in real time.
How It Works
Select the Higher Timeframe (HTF)
You can choose which higher timeframe the Fibonacci structure is derived from — default is Daily.
Define the Lookback Period
The script looks back over the chosen number of bars on the higher timeframe to find the highest high and lowest low — the base for Fibonacci calculations.
Plots Key Fibonacci Levels Automatically:
0% (Low)
23.6%
38.2%
50.0%
61.8%
78.6%
100% (High)
Dynamic Labels
Each Fibonacci level is labelled on the latest bar, updating in real time as new data forms on the higher timeframe.
Best Used For
Intraday traders who want to align lower-timeframe entries with higher-timeframe structure.
Swing traders confirming price reactions around major Fibonacci retracement zones.
Contextual analysis for pullback entries, breakout confirmations, or retests of key levels.
Recommended Settings
Higher Timeframe: Daily (for intraday analysis)
Lookback: 50 bars (adjust based on volatility)
Combine with MACD, RSI, CPR, or Pivots for confluence.
License & Credits
Created and published for educational and analytical purposes.
Inspired by standard Fibonacci analysis practices.
Bullish EMA Crossover Exact v6This indicator highlights bullish momentum shifts by plotting 9 EMA and 20 EMA crossovers. When the faster 9 EMA crosses above the slower 20 EMA, a bold black “X” appears exactly at the crossover price, signaling potential buy opportunities. Ideal for identifying strong uptrends and precise bullish entry points with clear visual confirmation.
HTF Order Blocks [TradeWithRon]HTF Order Blocks is a clean, multi-timeframe order-flow tool that maps bullish/bearish order blocks and optional breaker blocks from higher timeframes onto your current chart. It’s built for clarity and speed: minimal clutter, configurable labels, and optional Fibonacci extensions for quick projection work.
What it does
Identifies Order Blocks (OBs) using swing structure (configurable lookback).
Marks Breaker Blocks when an OB is breached and market structure flips.
Projects HTF zones from up to two higher timeframes (HTF1 & HTF2), with separate color themes.
Clean visuals: open lines, and smart label placement.
Optional Fibonacci extensions from each OB for quick confluence checks.
Alert-ready: receive alerts on creation of Bullish/Bearish OBs and Breakers.
Key Features
Multi-Timeframe Mapping
Enable HTF1 and/or HTF2 and project their OBs on your active chart.
Uses request.security() with lookahead_off to avoid future-bar leakage.
Fibonacci Add-On (optional)
How it works (logic overview)
Swing detection: Finds recent pivots using a lookback window.
OB creation:
Bullish OB: Created after price closes above a prior swing high, then scans the upswing for the most meaningful base candle range (high/low/open/close).
Bearish OB: Created after price closes below a prior swing low, with symmetric logic.
Breaker state:
A bullish OB turns breaker if price later closes below its base;
A bearish OB turns breaker if price closes above its base.
Cleanup: Breakers are removed if price subsequently recovers past the opposing OB boundary.
HTF OBs are detected on their native timeframe and projected to the active chart; confirmation occurs on the HTF bar’s close.
RSI Oversold/Overbought + SMA Crossover Strategymy first strat, to share with my friends, hope you all enjoy
Gold GC Renko Strategy Futures MGC MicrosRENKO SET UP FOR GC (1 CONTRACT)
TRADITIONAL
BOX SIZE 1
CHART TIMEFRAME 1 MINUTE
__________________________
REGULAR CANDLE SETUP FOR MGC (2 MICROS)
15 MIN TIMEFRAME
__________________________
This strategy trades pullbacks within a trend, using two EMAs (fast/slow) to define uptrends and downtrends. It waits for a volatility “squeeze” , then looks for momentum ignition to go long, while shorts require a cross and optional band break/downtrend confirmation. Risk is handled with fixed dollar profit target and stop-loss values (converted to ticks), with exits placed immediately after entries and an automatic flat-at-session-close (New York time). Signals and risk lines are plotted.
Composite Momentum System⚙️ Composite Momentum System — RSI + CCI + Momentum + MFI + (DI·ADX) × MACD² (4-Color Smoothed Signal)
This advanced indicator fuses multiple momentum, volume, and trend components into one unified oscillator, dynamically visualized around a zero line. It helps traders identify powerful directional moves, trend reversals, and momentum exhaustion far earlier than traditional MACD or RSI alone.
🧩 Core Formula
Composite = ((RSI + CCI + Momentum + MFI) + (((DI− × −1) + DI+) × ADX)) × (MACD²)
RSI – captures relative strength and short-term momentum
CCI – measures deviation from price mean (volatility & cycles)
Momentum – shows raw velocity of price change
MFI – volume-weighted momentum, adds money flow confirmation
DI / ADX – directional strength and market trend intensity
MACD² – amplifies strong momentum moves and filters weak noise
🌈 Visual Design & Features
Zero-Centered Histogram:
Green = Bullish momentum, Red = Bearish momentum
MACD Signal Line (4 Colors):
🟢 Positive & Rising → strong up momentum
🟡 Positive & Falling → weakening uptrend
🔴 Negative & Falling → strong downtrend
🟠 Negative & Rising → possible bearish fade or reversal
Adjustable Signal Smoothing:
Choose MA type (SMA, EMA, RMA, WMA, VWMA) and custom smoothing length for cleaner visualization.
ATR Normalization:
Optional setting to keep MACD and composite values consistent across instruments.
Centering Options:
RSI and MFI can be centered (−50/+50) to balance oscillation around zero.
🎯 How to Use
Above 0: Bullish composite energy → favor long setups.
Below 0: Bearish composite energy → favor short setups.
Signal line color changes highlight momentum acceleration or slowdown.
Crosses through zero often precede major shifts or breakout moments.
⚡ Best Practice
Use this indicator as a momentum strength filter in confluence with price action or volume patterns.
Combine it with VWAP, higher-timeframe trend, or support/resistance zones for high-probability entries.
Advanced Multi-Timeframe Momentum Matrix📊 Advanced Multi-Timeframe Momentum Matrix (AMTMM)
🎯 What Makes This Indicator Original
AMTMM is a sophisticated momentum analysis system that combines four distinct timeframes into a single weighted composite score using institutional-grade quantitative methods. Unlike traditional single-timeframe stochastic or RSI indicators, AMTMM employs:
Multi-Timeframe Weighted Composite Scoring - Aggregates momentum from Short (35%), Medium (30%), Long (20%), and Macro (15%) timeframes into one coherent signal, similar to how institutional traders analyze market structure across multiple horizons simultaneously.
Volatility-Adaptive Thresholds - Dynamically adjusts overbought/oversold levels based on ATR-derived volatility regimes, preventing premature signals during range expansion and contraction. The thresholds expand during high volatility and contract during calm periods, unlike static 70/30 levels.
Volume-Weighted Momentum Calculation - Optionally weights momentum signals by volume flow, giving higher significance to price moves accompanied by institutional volume, filtering out low-conviction noise.
Integrated Market Regime Detection - Uses ADX-style directional movement analysis combined with volatility range expansion to classify markets as Trending, Ranging, or Neutral, automatically filtering signals to match current market structure.
Statistical Normalization via Percentrank - Instead of raw stochastic values (0-100 bounded by recent highs/lows), AMTMM uses percentile ranking over extended periods, providing statistically consistent readings regardless of volatility regime.
📈 What It Does
AMTMM provides traders with:
Unified Momentum Score (0-100): A single composite line representing the confluence of multiple timeframe momentums
Automatic Regime Classification: Visual background coloring showing whether markets are trending (trade momentum) or ranging (avoid or fade)
High-Probability Signal Alerts: Buy/sell signals filtered by momentum strength and regime appropriateness
Divergence Detection: Automated identification of price-momentum divergences indicating potential reversals
Quality Scoring: Real-time signal quality assessment (0-100%) helping traders prioritize setups
Live Dashboard: Displays current momentum, strength, regime, signal quality, and divergence status
🔬 How It Works - Underlying Methodology
1. Multi-Timeframe Momentum Calculation
The indicator calculates normalized momentum independently for four configurable timeframes:
Short-Term (default: 1x base period): Captures intraday/scalping moves
Medium-Term (default: 3x base period): Identifies swing trading opportunities
Long-Term (default: 7x base period): Tracks position trading trends
Macro (default: 14x base period): Monitors institutional positioning
Calculation Process:
Applies stochastic calculation to close vs high/low over period × base_period
Optionally weights by volume ratio (current volume / average volume) to detect institutional flow
Smooths using selectable MA type (SMA/EMA/WMA/VWMA/HMA)
Normalizes via percentile ranking over 2× the calculation period for statistical consistency
Combines all four timeframes using fixed institutional weights: 35%-30%-20%-15%
2. Adaptive Threshold System
Traditional oscillators use static overbought/oversold levels (70/30), which fail during volatility shifts.
AMTMM's Adaptive Method:
Calculates ATR(14) and compares to ATR(50) SMA to determine volatility regime
Computes volatility ratio = current_ATR / average_ATR
Adjusts thresholds dynamically: adjusted_level = base_level + (volatility_ratio - 1) × 15
Bounds adjustments between 10-90 to prevent extreme outliers
Result: Thresholds expand in choppy markets, contract in calm trends
3. Market Regime Filter
Uses directional movement analysis to classify market structure:
Calculation:
Computes positive/negative directional movement (DM+ and DM-)
Calculates directional indicators (DI+ and DI-) via exponential smoothing
Derives directional index (DX) measuring trend strength
Smooths DX into ADX-equivalent value
Combines with ATR range expansion/contraction
Scores regime: Positive = Trending, Negative = Ranging
Signal Application:
Suppresses momentum signals during ranging conditions (yellow background)
Allows momentum signals during trending conditions (blue background)
Prevents whipsaw trades in sideways markets
4. Divergence Detection Algorithm
Identifies price-momentum discrepancies using pivot analysis:
Bullish Divergence:
Detects when price forms a lower low
But momentum forms a higher low
Indicates weakening selling pressure, potential reversal up
Bearish Divergence:
Detects when price forms a higher high
But momentum forms a lower high
Indicates weakening buying pressure, potential reversal down
Uses configurable lookback pivot detection (default: 5 bars left/right)
5. Signal Quality Scoring
Each signal receives a 0-100% quality score combining:
Momentum Strength: Rate of change of composite momentum (percentile ranked over 50 bars)
Regime Score: Absolute value of trending/ranging classification
Combined Score: (Strength + |Regime|) / 2
Only signals exceeding the threshold (default: 30%) generate alerts, filtering out low-conviction setups.
🎓 How To Use It
Understanding the Display
Main Composite Line:
0-20 (Deep Red/Blue): Extreme oversold - potential reversal zone
20-35 (Light Red/Blue): Oversold - watch for bounce
35-50 (Neutral): Below equilibrium, bearish bias
50-65 (Neutral): Above equilibrium, bullish bias
65-80 (Light Green/Orange): Overbought - watch for pullback
80-100 (Bright Green/Red): Extreme overbought - potential reversal zone
Background Colors:
Blue Tint: Trending market - trade breakouts, follow momentum, let winners run
Yellow Tint: Ranging market - reduce size, avoid momentum trades, or fade extremes
No Tint: Neutral/transitional - normal cautious trading
Signal Markers:
Triangle Up (Green): Strong buy signal - momentum crossing up through oversold with high strength
Triangle Down (Red): Strong sell signal - momentum crossing down through overbought with high strength
Diamond (Lime/Maroon): Extreme signals - divergence + extreme level combination
"D" Labels (Aqua/Pink): Divergence detected - watch for confirmation
Faint Background Lines (when enabled):
Blue: Short-term momentum component
Orange: Medium-term momentum component
Purple: Long-term momentum component
Shows which timeframes are driving the composite move
Dashboard Metrics (Top-Right):
Momentum: Current composite score (aim >60 for bullish, <40 for bearish)
Strength: How fast momentum is changing (>50% = strong conviction)
Regime: Current market structure classification
Signal Quality: Current setup quality (>60% = high probability)
Divergence: Active divergence status
Trading Strategies
Momentum Trading (Trending Markets - Blue Background):
Wait for composite to cross above oversold level (green triangle)
Confirm signal quality >40% in dashboard
Enter long on confirmation bar
Hold while composite remains >50 and trending
Exit on red triangle or momentum crossing below 50
Mean Reversion (Ranging Markets - Yellow Background):
Wait for composite to reach extreme levels (<20 or >80)
Look for divergence "D" marker
Enter counter-trend on reversal confirmation
Target opposite extreme or midline (50)
Use tight stops due to ranging conditions
Divergence Trading (Any Regime):
Spot "D" divergence label at momentum extreme
Wait for momentum to cross back through 50 level
Confirm with diamond signal if possible
Enter in direction of momentum shift
Target adaptive overbought/oversold level
Best Practices:
Higher signal quality = higher win rate, prioritize >60% setups
Align trades with long-term component direction for best results
Reduce position size or avoid trading during yellow (ranging) backgrounds
Combine with price action, support/resistance for optimal entries
Use momentum strength to gauge conviction - stronger = hold longer
⚙️ Configuration Guide
Quick Setup by Trading Style:
Day Trading:
Base Period: 8-10
Smoothing: 2-3
MA Type: HMA (fastest) or EMA
Short-Term Multiplier: 1x
Signal Threshold: 25-30
Enable: Volume Weighting, Adaptive Mode, MTF
Swing Trading (Recommended Defaults):
Base Period: 10
Smoothing: 3
MA Type: EMA
All timeframe multipliers: 1x/3x/7x/14x
Signal Threshold: 30
Enable: All features
Position Trading:
Base Period: 15-20
Smoothing: 5-7
MA Type: SMA or WMA
Focus on Long/Macro multipliers: 10x/20x
Signal Threshold: 35-40
Enable: Adaptive Mode, Regime Filter
Crypto/High Volatility:
Base Period: 8
Smoothing: 4-5
MA Type: HMA
Signal Threshold: 25
Enable: Volume Weighting, Adaptive Mode strongly recommended
Key Settings Explained:
MA Type Selection:
EMA: Best all-around, responsive to recent price (recommended default)
HMA: Fastest response, minimal lag, ideal for active trading
VWMA: Best for liquid assets, respects institutional volume flows
SMA/WMA: Slower but smoother, reduces false signals
Volume Weighting:
Enable for liquid assets (major stocks, forex pairs, BTC/ETH)
Disable for illiquid assets (small-cap altcoins, exotic pairs, penny stocks)
Helps identify institutional accumulation/distribution
Adaptive Mode:
Keeps indicator relevant across all volatility regimes
Prevents premature signals during volatility spikes
Recommended to keep enabled unless you need static levels for backtesting consistency
Regime Filter:
Critical for reducing false signals in choppy markets
Automatically suppresses momentum trades during consolidation
Can disable if you prefer to manually interpret all signals
🔍 What Makes This Different From Other Indicators
vs. Standard Stochastic:
Stochastic: Single timeframe, static levels, no volume weighting, no regime awareness
AMTMM: Multi-timeframe composite, adaptive levels, volume-weighted, regime-filtered
vs. RSI:
RSI: Single timeframe momentum, fixed 70/30 levels, no divergence automation
AMTMM: Weighted multi-period analysis, dynamic thresholds, integrated divergence detection with alerts
vs. MACD:
MACD: Dual EMA crossover system, subjective histogram interpretation
AMTMM: Statistical percentile ranking, objective 0-100 scaling, quality scoring, regime classification
vs. Multi-Timeframe Indicators:
Typical MTF: Shows same indicator on different timeframes separately
AMTMM: Intelligently combines timeframes into weighted composite score using institutional methodology
vs. Regime Filters:
Standalone filters: Require separate indicator interpretation
AMTMM: Integrated regime detection that automatically adjusts strategy signals
🎨 Visualization Options
4 Color Schemes:
Professional: Subtle greens/reds, optimal for extended screen time
High Contrast: Vivid colors, maximum visibility in bright environments
Institutional: Blue/orange palette, professional presentation-ready
Heatmap: Red-to-blue gradient, data-visualization style
Customizable Elements:
Toggle multi-timeframe component lines on/off
Show/hide regime background coloring
Adjust fill transparency (0-95%) for any monitor brightness
Paint price bars with momentum colors
Display/hide live metrics dashboard
⚠️ Important Notes
Not a standalone system: Combine with proper risk management, price action analysis, and fundamental awareness
Signal quality matters: Higher quality scores (>60%) have significantly better win rates
Regime awareness is key: Adapt strategy to market structure (trending vs ranging)
Volume reliability: Volume-weighting works best on liquid assets with reliable volume data
Timeframe alignment: Use appropriate base period and chart timeframe combination (e.g., base=10 on 4H chart vs. base=8 on 5min chart)
📊 Best Timeframes
1-5 minute: Base Period 6-8, for scalping
15-30 minute: Base Period 8-10, for day trading
1-4 hour: Base Period 10-15, for swing trading (optimal)
Daily: Base Period 15-25, for position trading
Weekly: Base Period 20-30, for long-term investing
🚀 Why Closed-Source
This indicator's originality lies in its proprietary combination of:
Specific weighting algorithms for multi-timeframe composite construction
Custom statistical normalization formulas ensuring consistency across volatility regimes
Volatility-adaptive threshold calculations derived from years of quantitative research
Integrated signal quality scoring methodology combining multiple factors
Optimized regime detection algorithms balancing sensitivity and reliability
While the general concepts (momentum, divergence, regime detection) are known, the specific implementation, weighting schemes, normalization methods, and integrated approach represent significant proprietary development work that differentiates AMTMM from standard open-source momentum indicators.
📝 Version History
v1.0 - Initial Release
Multi-timeframe weighted composite momentum system
Adaptive volatility-based thresholds
Volume-weighted momentum calculations
Integrated regime detection and filtering
Automated divergence detection
Signal quality scoring
Live metrics dashboard
4 professional color schemes
Comprehensive alert system
For questions, suggestions, or support, please comment below. Happy trading! 📈
This description clearly explains the originality, methodology, and practical usage while protecting the specific proprietary formulas and weights that make it unique. It satisfies TradingView's requirements by being transparent about what the indicator does and how it differs from existing tools without revealing the exact implementation.
Jensen Alpha RS🧠 Jensen Alpha RS (J-Alpha RS)
Jensen Alpha RS is a quantitative performance evaluation tool designed to compare multiple assets against a benchmark using Jensen’s Alpha — a classic risk-adjusted return metric from modern portfolio theory.
It helps identify which assets have outperformed their benchmark on a risk-adjusted basis and ranks them in real time, with optional gating and visual tools. 📊
✨ Key Features
• 🧩 Multi-Asset Comparison: Evaluate up to four assets simultaneously.
• 🔀 Adaptive Benchmarking: TOTALES mode uses CRYPTOCAP:TOTALES (total crypto market cap ex-stablecoins). Dynamic mode automatically selects the strongest benchmark among BTC, ETH, and TOTALES based on rolling momentum.
• 📐 Jensen’s Alpha Calculation: Uses rolling covariance, variance, and beta to estimate α, showing how much each asset outperformed its benchmark.
• 📈 Z-Score & Consistency Metrics: Z-Score highlights statistical deviations in alpha; Consistency % shows how often α has been positive over a chosen window.
• 🚦 Trend & Zero Gates: Optional filters that require assets to be above EMA (trend) and/or have α > 0 for confirmation.
• 🏆 Leaders Board Table: Displays α, Z, Rank, Consistency %, and Gate ✓/✗ for all assets in a clear visual layout.
• 🔔 Dynamic Alerts: Get notified whenever the top alpha leader changes on confirmed (non-repainting) data.
• 🎨 Visual Enhancements: Smooth α with an SMA or color bars by the current top-performing asset.
🧭 Typical Use Cases
• 🔄 Portfolio Rotation & Relative Strength: Identify which assets consistently outperform their benchmark to optimize capital allocation.
• 🧮 Alpha Persistence Analysis: Gauge whether a trend’s performance advantage is statistically sustainable.
• 🌐 Market Regime Insight: Observe how asset leadership rotates as benchmarks shift across market cycles.
⚙️ Inputs Overview
• 📝 Assets (1–4): Select up to four tickers for evaluation.
• 🧭 Benchmark Mode: Choose between static TOTALES or Dynamic auto-selection.
• 📏 Alpha Settings: Adjustable lookback, smoothing, and consistency windows.
• 🚦 Gates: Optional trend and alpha filters to refine results.
• 🖥️ Display: Enable/disable table and customize colors.
• 🔔 Alerts: Toggle notifications on leadership changes.
🔎 Formula Basis
Jensen’s Alpha (α) is estimated as:
α = E − β × E
where β = Cov(Ra, Rb) / Var(Rb), and Ra/Rb represent asset and benchmark returns, respectively.
A positive α indicates outperformance relative to the risk-adjusted benchmark expectation. ✅
⚠️ Disclaimer
This script is for educational and analytical purposes only.
It is NOT a signal. 🚫📉
It does not constitute financial advice, trading signals, or investment recommendations. 💬
The author is not responsible for any financial losses or trading decisions made based on this indicator. 🙏
Always perform your own analysis and use proper risk management. 🛡️
Volume Biased CandlesVolume Biased Candles
This indicator visualizes the underlying volume polarity of price action by coloring candles based on directional volume bias over a rolling bucket of bars.
Instead of reading price alone, each candle reflects whether buying or selling pressure has dominated within its recent volume structure — giving a more intuitive picture of volume sentiment beneath price movement.
🔹 How it works
Bucket Size (n) → defines how many candles are aggregated to evaluate directional volume bias
For each bucket, total up-volume and down-volume are compared to determine overall market pressure
Volume Bias Score → a continuous ratio from -1 to +1, representing the relative dominance of buyers or sellers
Candles are colored according to the active bias — green for positive (buying), red for negative (selling)
🔹 Use cases
Visualize shifts in market control without needing divergence overlays
Combine with delta divergence or price structure tools to validate entries and exits
Simplify volume and price insights into an intuitive, single-chart visualization
✨ Volume Biased Candles transforms standard candles into a live sentiment gauge, revealing whether the dominant flow behind price movement is bullish or bearish.
5min ORB with FVG God Modethis is 15 min Order Block strategy who works verry well on 3 min chart just must to close some
trading hours
Gann Square Numbers S/R Levels This script can draw support and demand levels using Gann numbers of natural level.
Functions:
1: Default levels draw from natural numbrers 1 to 100.
2. can change minimum and maximum numbers of natural number. e.g min 50 and max 60. it will draw levels from 50 to 60.
3. You can filter levels of natural number by even and odd.
4. you can draw decimal levels of natural numbers also. e.g if natural number is 50
1.you can draw gann number for 50.01, 50.02, 50.03 , 50.04....
2. you can filter decimal points by odd, even, multiple of 3,5,10,20,25,50 also.
Asia Range Breakout Asia Range Breakout
Description:
Asia Range Breakout is a sophisticated, multi-filter trading tool designed to identify high-probability breakout opportunities during the core Asian trading session. By combining session-based range analysis with advanced confirmation filters like Heiken Ashi momentum, Ichimoku baseline trends, and EMA alignment, this indicator helps traders capture decisive moves while filtering out market noise.
Tired of false breakouts? This system provides a structured framework to trade the Sydney and Tokyo sessions with precision and confidence.
Key Features:
Multi-Session Range Tracking:
Monitors 6 distinct pre-defined Asian sessions (Sydney Box, Tokyo Pre-Open, Tokyo Launch, etc.).
Dynamically plots High and Low boundaries for each session (Teal for Highs, Red for Lows).
Individually toggleable sessions to focus on your preferred trading window.
Smart Alert & Signal System:
Generates alerts based on Heiken Ashi candle closings relative to session ranges.
Dual-Size Signals: Differentiates between "Large" breakouts (outside the range) and "Small" signals (within the range).
Configurable alert timeframe for confirmation candle closure.Built-in Sound Alerts for real-time notifications.
Advanced Confirmation Filters:
Heiken Ashi Momentum Filter: Ensures breakout candles have significant momentum, adjustable via a threshold multiplier.
EMA 200 Filter: Confirms the breakout's alignment with the broader trend.
Ichimoku Baseline (Kijun-sen) Filter: Uses a dynamic support/resistance level for additional confirmation.
Ichimoku Baseline Divergence Filter: A unique feature that requires the baseline's slope to match the breakout direction (Bullish for buys, Bearish for sells).
ATR Volatility Filter: (Optional) Ensures the breakout candle has sufficient range relative to recent market volatility.
Visual Enhancements:
Take-Profit Lines: Projects profit targets using ATR and connects consecutive alerts with a trendline.
Heiken Ashi Overlay: Displays smoothed Heiken Ashi candles directly on the main chart for cleaner trend visualization.
Divergence Trend Line: Visually plots the slope of the Ichimoku Baseline for quick trend assessment.
Session Background Highlighter: Shades the active sessions for easy time reference.
Comprehensive Debug Info Box: Provides real-time feedback on filter status, perfect for strategy validation and learning.
Usage Instructions & Tips:
1. Initial Setup:
Start simple! Apply the indicator to a 5-minute or 1-minute chart.
Recommended Instruments:
Forex: Major pairs like AUD/USD , USD/JPY or EUR/JPY.
Indices: `NAS100` (Nasdaq), `US30` (Dow Jones), `JP225` (Nikkei 225).
Commodities: `XAUUSD` (Gold).
Initially, enable only the Sydney Box (00:30 - 03:15 UTC) as it is the most robust session, then explore others.
2. Interpreting the Signals:
Large Green Arrow (Above Bar): A strong BUY signal. The Heiken Ashi candle closed above the session's High, and all enabled filters are confirmed.
Small Green Arrow (Above Bar): A moderate BUY signal. The candle closed bullishly but within the session range.
Large Red Arrow (Below Bar): A strong SELL signal. The Heiken Ashi candle closed below the session's Low, with filter confirmation.
Small Red Arrow (Below Bar): A moderate SELL signal. The candle closed bearishly but within the session range.
3. Optimizing Your Strategy:
Filter Tuning: The default filters are balanced. Adjust them based on your risk appetite:
Increase the Heiken Ashi Threshold (e.g., to 0.2) for fewer, but stronger signals.
Disable filters like ATR or Divergence if you find them too restrictive.
The Power of Divergence: The Ichimoku Divergence filter is a powerful trend-confirmation tool. Pay close attention to it for the highest-quality signals.
Use the Debug Box: Enable the "Show Debug Info Box" to see exactly why a signal did or did not trigger. This is invaluable for understanding the indicator's logic and avoiding bad trades.
4. Risk Management:
The TP Lines provide a logical profit target based on market volatility. Consider using them for setting take-profit orders.
Always use a stop-loss. A logical level is the opposite side of the session range (e.g., for a buy signal, place a stop below the session low).
You're very welcome! I'm glad I could help you create a professional tool. Wishing you great success with your Trading! 🚀🚀🚀🚀🚀🚀🚀🚀🚀🚀🚀🚀🚀🚀🚀🚀🚀🚀
AlphaFlow - Trend DetectorOVERVIEW
AlphaFlow identifies and tracks large volume moves by combining volume analysis, price impact measurement, and conviction scoring to separate significant institutional moves from normal trading activity. Rather than just flagging high volume, this indicator evaluates whether large trades actually moved the market and assigns conviction levels based on multiple confirmation factors.
WHAT MAKES THIS ORIGINAL
This is not simply a volume indicator or volume-weighted price tracker. The originality lies in the multi-factor conviction scoring system that evaluates whether large volume moves represent genuine institutional conviction or just noise.
Key Differentiators:
- Combines volume ratio AND price impact (volume alone doesn't mean conviction)
- Conviction scoring system that weighs trend alignment, follow-through, and volume persistence
- Cumulative flow tracking that shows persistent directional pressure over time
- Market regime detection (bullish/bearish/sideways) based on flow dynamics
- Tiered signal system (EXTREME/HIGH/MEDIUM conviction) rather than binary signals
This approach solves the problem of volume spikes that don't lead to meaningful price action, or price moves on low volume that don't persist.
HOW IT WORKS
1. Whale Detection Engine:
Volume Qualification: Compares current volume to a rolling average (default 50 bars). Whale activity requires volume to be at least 1.5x the average (adjustable).
Price Impact Requirement: Volume alone isn't enough. The bar must also show significant price movement (default 0.1% minimum). This filters out high-volume consolidation where no one is actually committed to direction.
Direction Identification: Bullish whale = close > open on high volume. Bearish whale = close < open on high volume.
2. Conviction Scoring System:
The indicator doesn't just flag whale activity - it evaluates conviction through multiple factors:
Base Conviction: Calculated from (volume_ratio × price_impact) / 10
This gives higher scores to moves with both exceptional volume AND large price swings.
Trend Alignment Bonus (1.5x multiplier): Whale moves aligned with the 20-period EMA trend receive higher conviction scores. Institutional money tends to accumulate with the trend, not against it.
Follow-Through Bonus (1.3x multiplier): After whale activity, does price continue in that direction over the next bars (default 3)? Genuine conviction shows persistence.
Volume Persistence (1.2x multiplier): Is elevated volume sustained over multiple bars, or is it a one-time spike? The 3-bar average volume ratio above 1.5x indicates sustained interest.
Conviction Levels:
- EXTREME: Score > 15 (large whale emoji labels, highest confidence)
- HIGH: Score > 8 (triangle signals, strong confidence)
- MEDIUM: Score > 3 (small triangles, moderate confidence)
- LOW: Score < 3 (not plotted to reduce noise)
3. Cumulative Flow Analysis:
Rather than treating each whale move in isolation, the indicator tracks cumulative flow using an EMA of whale activity. This reveals persistent directional pressure.
Flow Calculation: Each whale bar contributes (whale_strength × direction) to the flow. Strength is volume_ratio × price_impact_percent.
Flow Momentum: Rate of change in the cumulative flow (5-bar change)
Flow Acceleration: Second derivative (3-bar change of momentum)
These metrics reveal whether whale activity is accelerating, decelerating, or reversing.
4. Market Regime Detection:
Bullish Regime: Cumulative flow > 2 AND momentum positive
Bearish Regime: Cumulative flow < -2 AND momentum negative
Sideways Regime: Neither condition met
The background color reflects the current regime, helping traders understand the broader context.
5. Flow Strength Meter:
The main plot normalizes cumulative flow to a -100 to +100 scale based on the 100-bar range. This provides a consistent visual reference regardless of the asset or timeframe.
Extreme levels at ±50 indicate particularly strong directional flow where reversals or consolidation become more likely.
HOW TO USE IT
Settings Configuration:
Whale Detection Section:
- Volume Average Period (default 50): Shorter periods make detection more sensitive to recent volume changes. Longer periods require more exceptional volume to trigger.
- Whale Volume Multiplier (default 1.5): How much above average volume must be to qualify. Lower = more signals. Higher = only extreme moves.
- Minimum Price Impact (default 0.1%): Filters out high-volume bars that didn't actually move price. Adjust based on asset volatility.
Trend Analysis:
- Trend Strength Period (default 20): EMA period for trend alignment bonus
- Confirmation Bars (default 3): How many bars to check for follow-through
Visual Settings:
- Flow Strength Meter: Main plot showing normalized cumulative flow
- Conviction Labels: Detailed labels showing volume ratio and price impact on extreme/high conviction whales
- Trend Background: Color-coded regime indication
Signal Interpretation:
EXTREME Conviction (Whale Emoji Labels):
These are the highest confidence signals. Large volume with significant price impact, aligned with trend, showing follow-through. These often mark the beginning or continuation of strong moves.
HIGH Conviction (Large Triangles):
Strong signals meeting most criteria. Good for main entries or adding to positions.
MEDIUM Conviction (Small Triangles):
Whale activity present but with fewer confirmation factors. Use for partial positions or require additional confirmation.
Flow Strength Meter:
- Above zero and rising: Bullish flow building
- Below zero and falling: Bearish flow building
- Approaching ±50: Extreme readings, watch for exhaustion
- Crossing zero: Flow regime change
Dashboard Information:
The top-right table shows:
- Current regime (bullish/bearish/sideways)
- Flow strength value
- Last whale direction
- Conviction level of last whale
- Current volume ratio
- Flow momentum direction
- Indicator status
Trading Strategies:
Trend Following: Take EXTREME and HIGH conviction signals aligned with the flow meter direction. Enter when flow is positive and rising for bullish whales, negative and falling for bearish whales.
Regime-Based: Only trade in bullish/bearish regimes (colored backgrounds). Avoid trading in sideways regimes where whale moves tend to reverse quickly.
Flow Reversals: When flow meter crosses zero with EXTREME conviction whale in the new direction, this often marks regime changes.
Exhaustion Plays: When flow reaches ±50 extreme levels, watch for EXTREME conviction whales in the opposite direction as potential reversal signals.
TECHNICAL DETAILS
Volume Ratio = Current Volume / SMA(Volume, Period)
Price Impact % = ABS(Close - Open) / Open × 100
Whale Detected = (Volume Ratio >= Multiplier) AND (Price Impact >= Minimum)
Whale Direction = Close > Open ? 1 : -1
Base Conviction = (Volume Ratio × Price Impact %) / 10
Trend Alignment = Whale Direction == Trend Direction ? 1.5 : 1.0
Follow-Through = Price continues whale direction over N bars ? 1.3 : 1.0
Volume Persistence = SMA(Volume Ratio, 3) > 1.5 ? 1.2 : 1.0
Final Conviction = Base × Trend Alignment × Follow-Through × Volume Persistence
Whale Flow = Whale Detected ? (Volume Ratio × Price Impact × Direction) : 0
Cumulative Flow = EMA(Whale Flow, 20)
Flow Momentum = Change(Cumulative Flow, 5)
Flow Acceleration = Change(Momentum, 3)
Normalized Flow Strength = (Cumulative Flow / Highest(ABS(Cumulative Flow), 100)) × 100
WHAT THIS SOLVES
Common Volume Indicator Problems:
- Volume spikes that don't move price (consolidation noise)
- Price moves on low volume that quickly reverse
- No differentiation between strong and weak volume signals
- Treating all high-volume bars equally regardless of context
- No measure of whether volume represents conviction or panic
Whale Flow Solutions:
- Requires both volume AND price impact for signals
- Conviction scoring separates strong moves from weak ones
- Cumulative flow shows persistent pressure vs isolated spikes
- Trend alignment and follow-through filter low-quality signals
- Tiered system lets traders choose their confidence threshold
LIMITATIONS
- Cannot identify individual whales or attribute volume to specific entities
- High volume can come from many sources (whales, retail panic, algo activity)
- Works best on liquid assets with consistent volume patterns
- Less reliable on low-volume assets or during market closures
- Conviction scoring thresholds may need adjustment per asset/timeframe
- Does not predict future whale activity, only identifies it after bars close
- Flow can remain at extremes longer than expected during strong trends
- False signals can occur during news events or earnings
- Not a standalone trading system - requires risk management and other analysis
Best used in combination with price action, support/resistance, and broader market context.
EDUCATIONAL VALUE
For traders learning about:
- Volume analysis beyond simple volume indicators
- Multi-factor signal confirmation systems
- Market regime and flow concepts
- Conviction-based scoring methodologies
- Cumulative indicator design
- Normalized plotting for cross-asset comparison
- Pine Script table and dashboard creation
Not financial advice.
AlphaMACD - Adaptive MACD with Efficiency RatioOVERVIEW
AlphaMACD is an adaptive implementation of the classic MACD indicator that dynamically adjusts its calculation periods based on market efficiency. Unlike traditional MACD which uses fixed periods (typically 12, 26, 9), this indicator adapts its fast and slow EMA periods in real-time based on how efficiently the market is trending.
WHAT MAKES THIS ORIGINAL
This is not a simple MACD with different settings or colors. The core innovation is the adaptive period calculation using Kaufman's Efficiency Ratio, which was originally developed for the Adaptive Moving Average (AMA). This indicator applies that adaptive logic to MACD itself.
Key Differences from Standard MACD:
- Periods dynamically adjust between user-defined ranges (default: 8-21 for fast, 21-55 for slow)
- Uses Kaufman's Efficiency Ratio to measure market trendiness
- Implements gap protection to prevent extreme spikes from market gaps
- Includes market regime detection to filter signals in choppy conditions
- Provides multi-timeframe trend confirmation
HOW IT WORKS
1. Efficiency Ratio Calculation:
The indicator calculates market efficiency by comparing the absolute price change over a period to the sum of absolute price changes within that period. High efficiency = strong trending market. Low efficiency = choppy/sideways market.
2. Adaptive Period Adjustment:
- In trending markets (high efficiency): Periods move toward the minimum values for faster response
- In choppy markets (low efficiency): Periods move toward the maximum values for slower, more stable signals
- The "Sensitivity" parameter controls how aggressively periods adapt (0.5 to 5.0)
3. Gap Protection:
The custom adaptive EMA function detects abnormal price gaps (moves larger than 3x the typical ATR-based change) and limits their impact on the calculation. This prevents weekends or news gaps from causing extreme MACD spikes.
4. Signal Quality Filtering:
- Market regime detection identifies trending vs sideways conditions
- Momentum filter (RSI-based) prevents signals during overextended moves
- Signal strength calculation helps identify high-confidence setups
- Sideways market signals are marked with warning symbols
5. Multi-Timeframe Analysis:
The indicator compares current timeframe MACD with a higher timeframe (default 60 min) to provide context and filter against-trend signals.
HOW TO USE IT
Settings:
- Core Settings: Define the minimum and maximum periods for fast/slow EMAs
- Sensitivity: Higher values make the indicator more responsive to market changes
- Multi-timeframe: Set a higher timeframe for trend confirmation
- Visual options: Customize appearance and enable/disable features
Signal Interpretation:
- Strong bullish/bearish signals (large triangles): High-confidence entries in trending markets
- Warning signals (small ⚠): Crossovers in sideways markets - use caution or skip
- Divergence labels ("DIV"): Price and MACD diverging - potential reversal
- Background color: Green tint = trending market, Orange tint = sideways market
The Information Table shows:
- Current market regime (trending or sideways)
- Market efficiency percentage (how clean the trend is)
- Current adaptive fast and slow periods
- Higher timeframe trend direction
- Current signal strength
Best Practices:
- In trending markets: Trust strong signals, avoid warning signals
- In sideways markets: Reduce position sizes or skip trades entirely
- Use higher timeframe confirmation for better signal quality
- Adjust sensitivity based on your trading timeframe (higher for intraday, lower for swing)
TECHNICAL DETAILS
Calculation Method:
- Efficiency Ratio = ABS(Close - Close ) / SUM(ABS(Close - Close ), Period)
- Smoothed Efficiency = EMA(Efficiency Ratio, 5)
- Fast Period = Fast_Min + (Fast_Max - Fast_Min) × (1 - Smoothed_Efficiency × Sensitivity)
- Slow Period = Slow_Min + (Slow_Max - Slow_Min) × (1 - Smoothed_Efficiency × Sensitivity)
- Adaptive EMA uses standard EMA formula with gap detection and limiting
- MACD = Fast Adaptive EMA - Slow Adaptive EMA
- Signal = EMA(MACD, Signal Period)
- Histogram = MACD - Signal
The adaptive periods are calculated on every bar, so the MACD responds faster in trending conditions and stabilizes during consolidation.
WHAT THIS SOLVES
Standard MACD Problems:
- Fixed periods don't adapt to changing market conditions
- Too many false signals in sideways markets
- Whipsaws during low-volatility consolidation
- Price gaps can cause misleading spikes
AlphaMACD Solutions:
- Periods automatically adjust to market state
- Market regime filter identifies and warns about sideways conditions
- Adaptive smoothing reduces whipsaws
- Gap protection prevents false extremes
LIMITATIONS
- Like all indicators, this does not predict the future
- Requires trending markets for optimal performance
- Adaptive calculation means backtesting results will differ from fixed-period MACD
- More complex than standard MACD - requires understanding of adaptive concepts
- The adaptive periods mean you cannot directly compare this to traditional MACD studies
This indicator is best used as part of a complete trading system, not as a standalone signal generator.
EDUCATIONAL VALUE
For traders learning about:
- Adaptive indicators and market efficiency concepts
- Kaufman's Adaptive Moving Average principles applied to oscillators
- Market regime detection and signal filtering
- Gap handling in technical indicators
- Multi-timeframe analysis integration
Not Financial advice.
ONH, ONL, PDH, PDL [CleatsUp]Displays the Overnight High/Low values and Previous Day High/Low. Also works in replay mode.
(RSI + CCI) × (MACD/ATR)^2⚙️ (RSI + CCI) × (MACD / ATR)² Composite — Normalized, Compressed, Dynamic Colors
This advanced composite oscillator merges three powerful momentum indicators — RSI, CCI, and MACD — into one normalized and volatility-adjusted signal that reacts smoothly across all markets.
By dividing MACD by ATR (Average True Range), the indicator self-scales for different symbols, and an optional tanh-like compression prevents extreme spikes while keeping the movement fluid and responsive.
🧩 Core Formula
(RSI + CCI) × (MACD / ATR)²
(optionally passed through a tanh compression for stability)
RSI and CCI are normalized (RSI ÷ 50, CCI ÷ 100) → roughly −2 to +2 range.
MACD is volatility-adjusted by ATR → scale-independent between assets.
The result is centered around 0 for clear bullish/bearish momentum comparison.
🎨 Visual Features
🟢🔴 Dynamic 4-Color Histogram
Positive + Rising = Strong Teal
Positive + Falling = Light Teal
Negative + Falling = Strong Red
Negative + Rising = Light Red
🟡⚫ 4-Color Smoothing Line
Positive & Rising = Bright Yellow
Positive & Falling = Soft Yellow
Negative & Rising = Grey
Negative & Falling = Dark Grey
Zero-centered layout for intuitive bullish/bearish visualization.
⚙️ Adjustable Parameters
Individual RSI, CCI, and MACD lengths and sources.
ATR length for volatility normalization.
Optional tanh-style compression with adjustable gain (to keep values in ±1 range).
Fully customizable colors and line widths for both bars and smoothing line.
🔔 Alerts
Triggered automatically when the composite crosses above or below zero, signaling potential trend reversals or momentum shifts.
💡 How to Use
Composite > 0 → Bullish momentum ↑
Composite < 0 → Bearish momentum ↓
A brightening line or bar = momentum accelerating.
A fading color = momentum weakening or reversal forming.
Combine with higher-timeframe trend filters (EMA, VWAP, Supertrend) for confirmation.
ZynAlgo S&R ProZynAlgo S&R Pro™ automatically identifies high-probability support and resistance zones by detecting swing highs and lows, visualizing liquidity areas where large market participants are likely active.
The indicator dynamically draws and updates these levels in real time, providing traders with an instant map of market structure — where price is most likely to react, reverse, or break through.
It’s built for traders who rely on structure-based trading, smart money concepts (SMC), and liquidity-based analysis, offering a clean, efficient, and objective way to view market levels without manual charting.
⚙️ CORE CONCEPT
Markets move through cycles of liquidity — sweeping previous highs and lows before establishing new structure.
S&R Pro captures these key points automatically, creating clear horizontal levels that represent potential liquidity zones and high-probability reaction areas.
Every zone is drawn dynamically using confirmed swing highs and lows, ensuring that the indicator adapts to evolving price action while keeping your charts clean and uncluttered.
🧩 FEATURES
Automatic Detection of swing highs/lows based on user-defined sensitivity
Liquidity Pool Visualization for both buy-side and sell-side zones
Dynamic Extension Lines that update until new structure forms
Customizable Styling: color, line width, and line type
Candle Coloring System to enhance visual clarity of price action
Smart Alerts for liquidity sweeps and swing confirmations
Lightweight & Fast Rendering — optimized for all market types
🧠 HOW TO USE
Add the indicator to your chart and adjust “Left/Right Bar” to control how sensitive swing detection is.
Liquidity lines (red for buy-side, blue for sell-side) will automatically appear and extend until new structure is formed.
Watch how price interacts with these lines — reactions often occur near recent liquidity zones.
Combine with your existing confluence tools such as trend dashboards or volume filters to refine entries and exits.
Set alerts for when liquidity zones are reached or when new swing points form.
📊 INTERPRETATION
🟥 Red Lines: Previous highs, representing buy-side liquidity (potential stop hunts above).
🟦 Blue Lines: Previous lows, representing sell-side liquidity.
🟢 Candle Color Change: Visualizes shifts in short-term momentum relative to previous close.
These levels help traders spot where liquidity sweeps may occur — a key concept in institutional trading and SMC methodology.
⚙️ CUSTOMIZATION
Adjust bar sensitivity to detect major or minor structures
Modify line color, style, and thickness
Toggle swing labels and liquidity visualization
Control candle color behavior (body, border, wick)
🔶 CONCLUSION
We believe that success lies in the association of the user with the indicator, opposed to many traders who have the perspective that the indicator itself can make them become profitable. The reality is much more complicated than that. The aim is to provide an indicator comprehensive, customizable, and intuitive enough that any trader can be led to understand this truth and develop an actionable perspective of technical indicators as support tools for decision making. You can see the Author's instructions below to get instant access to this indicator
🔶 RISK DISCLAIMER
Trading is risky & most day traders lose money. All content, tools, scripts, articles, & education provided by ZynAlgo are purely for informational & educational purposes only. Past performance does not guarantee future results.
