Symmetry Break Index | QRSymmetry Break Trend Scanner | QuantumResearch
What it does
This indicator detects trend regime shifts by measuring how persistently price deviates from its moving-average “symmetry.” It outputs a continuous Score and a binary Signal (Bullish / Bearish) when that score crosses user-defined thresholds:
Bullish (Long) when upside deviations dominate → sustained uptrend bias
Bearish (Short/Cash) when downside deviations dominate → sustained downtrend bias
It’s built for clarity and consistency: the plot is a single score with two horizontal decision lines so traders can quickly identify regime changes on a clean chart.
How it works (principle, not code)
Normalize price vs trend: Price is standardized against a moving average and its standard deviation to create a dimensionless “oscillator” series (how far above/below typical behavior price sits).
Symmetry count: For a user-defined range of reference levels, the script counts whether the standardized price is above or below each level. This builds a cumulative symmetry score: positive when upside presence is broad and persistent, negative when downside dominates.
Regime thresholds: Crossing the Uptrend Threshold or Downtrend Threshold flips the quantum state to Bullish or Bearish, minimizing noise compared with a single-level trigger.
This approach emphasizes persistence and breadth of deviation rather than one-off spikes, which can help filter chop.
Plots & visuals
Score (histogram/area fill): Positive area fills in the bullish color, negative area in the bearish color.
Zero line: Quick reference for balance between up/down deviations.
Two decision lines: Uptrend Threshold and Downtrend Threshold to mark regime flips.
Bar colors: Bars tint with the active regime (Bullish / Bearish) for fast reads.
Publish with a clean chart so the score and thresholds are clearly visible. Avoid extra indicators unless they are required and explained.
Inputs & customization
MA Length (default 40): Window for the baseline moving average and volatility. Shorter = more reactive; longer = smoother.
Source: Price input (e.g., close).
For Loop Range (Start / End, default −200…200): Breadth of reference levels in the symmetry count. Wider range = stronger smoothing and slower flips.
Uptrend / Downtrend Thresholds: Regime triggers. Tighten to react faster, widen to reduce whipsaws.
Color Mode: Choose a palette to match your chart.
Tip: Start with defaults, then tune MA Length and thresholds for your market/timeframe.
How to use it
Trend confirmation: Trade in the direction of the active regime; avoid counter-trend setups when the score is far beyond a threshold.
Risk controls: When the score retreats toward zero, consider reducing size or tightening stops—momentum is weakening.
Confluence: Combine with structure (S/R), volume, or volatility bands for entries/exits; the score provides context, not entries alone.
Originality & value
Unlike single-threshold oscillators, this method aggregates many standardized comparisons into one score, rewarding persistence and breadth of deviation. The result is a robust regime signal that tends to filter fleeting wiggles and highlight true symmetry breaks.
Limitations
Extremely range-bound markets can still produce false flips if thresholds are too tight.
Sudden volatility regime changes may require re-tuning MA Length or thresholds.
Standardization depends on the chosen window; there is no “one size fits all.”
Disclaimer
This tool is for research/education and is not financial advice. Markets involve risk, including loss of capital. Past performance does not predict or guarantee future results. Always test settings on your timeframe and use prudent risk management.
Analisis Trend
HTF Candles with PVSRA Volume Coloring (PCS Series)This indicator displays higher timeframe (HTF) candles using a PVSRA-inspired color model that blends price and volume strength, allowing traders to visualize higher-timeframe activity directly on lower-timeframe charts without switching screens.
OVERVIEW
This script visualizes higher-timeframe (HTF) candles directly on lower-timeframe charts using a custom PVSRA (Price, Volume & Support/Resistance Analysis) color model.
Unlike standard HTF indicators, it aggregates real-time OHLC and volume data bar-by-bar and dynamically draws synthetic HTF candles that update as the higher-timeframe bar evolves.
This allows traders to interpret momentum, trend continuation, and volume pressure from broader market structures without switching charts.
INTEGRATION LOGIC
This script merges higher-timeframe candle projection with PVSRA volume analysis to provide a single, multi-timeframe momentum view.
The HTF structure reveals directional context, while PVSRA coloring exposes the underlying strength of buying and selling pressure.
By combining both, traders can see when a higher-timeframe candle is building with strong or weak volume, enabling more informed intraday decisions than either tool could offer alone.
HOW IT WORKS
Aggregates price data : Groups lower-timeframe bars to calculate higher-timeframe Open, High, Low, Close, and total Volume.
Applies PVSRA logic : Compares each HTF candle’s volume to the average of the last 10 bars:
• >200% of average = strong activity
• >150% of average = moderate activity
• ≤150% = normal activity
Assigns colors :
• Green/Blue = bullish high-volume
• Red/Fuchsia = bearish high-volume
• White/Gray = neutral or low-volume moves
Draws dynamic outlines : Outlines update live while the current HTF candle is forming.
Supports symbol override : Calculations can use another instrument for correlation analysis.
This multi-timeframe aggregation avoids repainting issues in request.security() and ensures accurate real-time HTF representation.
FEATURES
Dual HTF Display : Visualize two higher timeframes simultaneously (e.g., 4H and 1D).
Dynamic PVSRA Coloring : Volume-weighted candle colors reveal bullish or bearish dominance.
Customizable Layout : Adjust candle width, spacing, offset, and color schemes.
Candle Outlines : Highlight the forming HTF candle to monitor developing structure.
Symbol Override : Display HTF candles from another instrument for cross-analysis.
SETTINGS
HTF 1 & HTF 2 : enable/disable, set timeframes, choose label colors, show/hide outlines.
Number of Candles : choose how many HTF candles to plot (1–10).
Offset Position : distance to the right of the current price where HTF candles begin.
Spacing & Width : adjust separation and scaling of candle groups.
Show Wicks/Borders : toggle wick and border visibility.
PVSRA Colors : enable or disable volume-based coloring.
Symbol Override : use a secondary ticker for HTF data if desired.
USAGE TIPS
Set the indicator’s visual order to “Bring to front.”
Always choose HTFs higher than your active chart timeframe.
Use PVSRA colors to identify strong momentum and potential reversals.
Adjust candle spacing and width for your chart layout.
Outlines are not shown on chart timeframes below 5 minutes.
TRADING STRATEGY
Strategy Overview : Combine HTF structure and PVSRA volume signals to
• Identify zones of high institutional activity and potential reversals.
• Wait for confirmation through consolidation or a pullback to key levels.
• Trade in alignment with dominant higher-timeframe structure rather than chasing volatility.
Setup :
• Chart timeframe: lower (5m, 15m, 1H)
• HTF 1: 4H or 1D
• HTF 2: 1D or 1W
• PVSRA Colors: enabled
• Outlines: enabled
Entry Concept :
High-volume candles (green or red) often indicate market-maker activity , such zones often reflect liquidity absorption by larger players and are not necessarily ideal entry points.
Wait for the next consolidation or pullback toward a support or resistance level before acting.
Bullish scenario :
• After a high-volume or rejection candle near a low, price consolidates and forms a higher low.
• Enter long only when structure confirms strength above support.
Bearish scenario :
• After a high-volume or rejection candle near a top, price consolidates and forms a lower high.
• Enter short once resistance holds and momentum weakens.
Exit Guidelines :
• Exit when next HTF candle shifts in color or momentum fades.
• Exit if price structure breaks opposite to your trade direction.
• Always use stop-loss and take-profit levels.
Additional Tips :
• Never enter directly on strong green/red high-volume candles, these are usually areas of institutional absorption.
• Wait for market structure confirmation and volume normalization.
• Combine with RSI, moving averages, or support/resistance for timing.
• Avoid trading when HTF candles are mixed or low-volume (unclear bias).
• Outlines hidden below 5m charts.
Risk Management :
• Use stop-loss and take-profit on all positions.
• Limit risk to 1–2% per trade.
• Adjust position size for volatility.
FINAL NOTES
This script helps traders synchronize lower-timeframe execution with higher-timeframe momentum and volume dynamics.
Test it on demo before live use, and adjust settings to fit your trading style.
DISCLAIMER
This script is for educational purposes only and does not constitute financial advice.
SUPPORT & UPDATES
Future improvements may include alert conditions and additional visualization modes. Feedback is welcome in the comments section.
CREDITS & LICENSE
Created by @seoco — open source for community learning.
Licensed under Mozilla Public License 2.0 .
Hyper Strength Index | QuantLapse🧠 Hyper Strength Index (HSI) | QuantLapse
Overview:
The Hyper Strength Index (HSI) is a composite momentum oscillator designed to unify multiple strength measures into a single, adaptive framework. It combines the Relative Strength Index (RSI), Chande Momentum Oscillator (CMO), Money Flow Index (MFI), and Stochastic RSI to deliver a refined, multidimensional view of market momentum and overbought/oversold conditions.
Unlike traditional oscillators that rely on a single formula, the HSI averages four distinct momentum perspectives — price velocity, directional conviction, volume participation, and stochastic behavior — offering traders a more balanced and noise-resistant reading of market strength.
⚙️ Calculation Logic:
The Hyper Strength Index is computed as the normalized average of:
📈 RSI — classic measure of relative momentum.
💪 CMO — captures directional bias and intensity of moves.
💵 MFI — integrates volume and money flow pressure.
🔄 Stochastic RSI (K-line) — identifies momentum extremes and short-term turning points.
This fusion creates a smoother, more comprehensive signal, mitigating the weaknesses of any single oscillator.
🎯 Interpretation:
Overbought Zone (Default: > 75):
Indicates potential exhaustion of bullish momentum — a cooling phase or reversal may follow.
Oversold Zone (Default: < 7):
Suggests bearish exhaustion — a rebound or accumulation phase may emerge.
Neutral Zone (Between 7 and 75):
Represents balanced market conditions or trend continuation phases.
Visual cues highlight key conditions:
🔺 Red Highlights — Overbought regions or downward inflection points.
🔻 Green Highlights — Oversold regions or upward inflection points.
Neutral zones are shaded with subtle gray backgrounds for clarity.
💡 Key Features:
🔹 Multi-factor strength analysis (RSI + CMO + MFI + StochRSI).
🔹 Adaptive overbought/oversold detection.
🔹 Visual alerts via colored backgrounds and bar markers.
🔹 Customizable smoothing and length parameters for fine-tuning sensitivity.
🔹 Intuitive visualization ideal for both short-term scalping and swing trading setups.
🧭 Usage Notes:
Works best as a momentum confirmation tool — pair with trend filters like EMA, SuperTrend, or ADX.
In trending markets, use crossovers from extreme zones as potential continuation or exhaustion signals.
In ranging markets, exploit overbought/oversold reversals for high-probability mean reversion trades.
📘 Summary:
The Hyper Strength Index | QuantLapse distills multiple dimensions of market strength into a single, cohesive oscillator. By merging price, volume, and directional momentum, it provides traders with a more robust, responsive, and context-aware perspective on market dynamics — a next-generation evolution beyond the limitations of RSI or CMO alone.
Relative Performance Tracker [QuantAlgo]🟢 Overview
The Relative Performance Tracker is a multi-asset comparison tool designed to monitor and rank up to 30 different tickers simultaneously based on their relative price performance. This indicator enables traders and investors to quickly identify market leaders and laggards across their watchlist, facilitating rotation strategies, strength-based trading decisions, and cross-asset momentum analysis.
🟢 Key Features
1. Multi-Asset Monitoring
Track up to 30 tickers across any market (stocks, crypto, forex, commodities, indices)
Individual enable/disable toggles for each ticker to customize your watchlist
Universal compatibility with any TradingView symbol format (EXCHANGE:TICKER)
2. Ranking Tables (Up to 3 Tables)
Each ticker's percentage change over your chosen lookback period, calculated as:
(Current Price - Past Price) / Past Price × 100
Automatic sorting from strongest to weakest performers
Rank: Position from 1-30 (1 = strongest performer)
Ticker: Symbol name with color-coded background (green for gains, red for losses)
% Change: Exact percentage with color intensity matching magnitude
For example, Rank #1 has the highest gain among all enabled tickers, Rank #30 has the lowest (or most negative) return.
3. Histogram Visualization
Adjustable bar count: Display anywhere from 1 to 30 top-ranked tickers (user customizable)
Bar height = magnitude of percentage change.
Bars extend upward for gains, downward for losses. Taller bars = larger moves.
Green bars for positive returns, red for negative returns.
4. Customizable Color Schemes
Classic: Traditional green/red for intuitive interpretation
Aqua: Blue/orange combination for reduced eye strain
Cosmic: Vibrant aqua/purple optimized for dark mode
Custom: Full personalization of positive and negative colors
5. Built-In Ranking Alerts
Six alert conditions detect when rankings change:
Top 1 Changed: New #1 leader emerges
Top 3/5/10/15/20 Changed: Shifts within those tiers
🟢 Practical Applications
→ Momentum Trading: Focus on top-ranked assets (Rank 1-10) that show strongest relative strength for trend-following strategies
→ Market Breadth Analysis: Monitor how many tickers are above vs. below zero on the histogram to gauge overall market health
→ Divergence Spotting: Identify when previously leading assets lose momentum (drop out of top ranks) as potential trend reversal signals
→ Multi-Timeframe Analysis: Use different lookback periods on different charts to align short-term and long-term relative strength
→ Customized Focus: Adjust histogram bars to show only top 5-10 strongest movers for concentrated analysis, or expand to 20-30 for comprehensive overview
Chronos Reversal Labs🧬 Chronos Reversal Lab - Machine Learning Market Structure Analysis
OVERVIEW
Chronos Reversal Lab (CRL) is an advanced market structure analyzer that combines computational intelligence kernels with classical technical analysis to identify high-probability reversal opportunities. The system integrates Shannon Entropy analysis, Detrended Fluctuation Analysis (DFA), Kalman adaptive filtering, and harmonic pattern recognition into a unified confluence-based signal engine.
WHAT MAKES IT ORIGINAL
Unlike traditional reversal indicators that rely solely on oscillators or pattern recognition, CRL employs a multi-kernel machine learning approach that analyzes market behavior through information theory, statistical physics, and adaptive state-space estimation. The system combines these computational methods with geometric pattern analysis and market microstructure to create a comprehensive reversal detection framework.
HOW IT WORKS (Technical Methodology)
1. COMPUTATIONAL KERNELS
Shannon Entropy Analysis
Measures market uncertainty using information theory:
• Discretizes price returns into bins (user-configurable 5-20 bins)
• Calculates probability distribution entropy over lookback window
• Normalizes entropy to 0-1 scale (0 = perfectly predictable, 1 = random)
• Low entropy states (< 0.3 default) indicate algorithmic clarity phases
• When entropy drops, directional moves become statistically more probable
Detrended Fluctuation Analysis (DFA)
Statistical technique measuring long-range correlations:
• Analyzes price series across multiple box sizes (4 to user-set maximum)
• Calculates fluctuation scaling exponent (Alpha)
• Alpha > 0.5: Trend persistence (momentum regime)
• Alpha < 0.5: Mean reversion tendency (reversal regime)
• Alpha range 0.3-1.5 mapped to trading strategies
Kalman Adaptive Filter
State-space estimation for lag-free trend tracking:
• Maintains separate fast and slow Kalman filters
• Process noise and measurement noise are user-configurable
• Tracks price state with adaptive gain adjustments
• Calculates acceleration (second derivative) for momentum detection
• Provides cleaner trend signals than traditional moving averages
2. HARMONIC PATTERN DETECTION
Identifies geometric reversal patterns:
• Gartley: 0.618 AB/XA, 0.786 AD/XA retracement
• Bat: 0.382-0.5 AB/XA, 0.886 AD/XA retracement
• Butterfly: 0.786 AB/XA, 1.272-1.618 AD/XA extension
• Cypher: 0.382-0.618 AB/XA, 0.786 AD/XA retracement
Pattern Validation Process:
• Requires alternating swing structure (XABCD points)
• Fibonacci ratio tolerance: 0.02-0.20 (user-adjustable precision)
• Minimum 50% ratio accuracy score required
• PRZ (Potential Reversal Zone) calculated around D point
• Zone size: ATR-based with pattern-specific multipliers
• Active pattern tracking with 100-bar invalidation window
3. MARKET STRUCTURE ANALYSIS
Swing Point Detection:
• Pivot-based swing identification (3-21 bars configurable)
• Minimum swing size: ATR multiples (0.5-5.0x)
• Adaptive filtering: volatility regime adjustment (0.7-1.3x)
• Swing confirmation tracking with RSI and volume context
• Maintains structural history (up to 500 swings)
Break of Structure (BOS):
• Detects price crossing previous swing highs/lows
• Used for trend continuation vs reversal classification
• Optional requirement for signal validation
Support/Resistance Detection:
• Identifies horizontal levels from swing clusters
• Touch counting algorithm (price within ATR×0.3 tolerance)
• Weighted by recency and number of tests
• Dynamic updating as structure evolves
4. CONFLUENCE SCORING SYSTEM
Multi-factor analysis with regime-aware weighting:
Hierarchical Kernel Logic:
• Entropy gates advanced kernel activation
• Only when entropy < threshold do DFA and Kalman accelerate scoring
• Prevents false signals during chaotic (high entropy) conditions
Scoring Components:
ML Kernels (when entropy low):
• Low entropy + trend alignment: +3.0 points × trend weight
• DFA super-trend (α>1.5): +4.0 points × trend weight
• DFA persistence (α>0.65): +2.5 points × trend weight
• DFA mean-reversion (α<0.35): +2.0 points × mean-reversion weight
• Kalman acceleration: up to +3.0 points (scaled by magnitude)
Classical Technical Analysis:
• RSI oversold (<30) / overbought (>70): +1.5 points
• RSI divergence (bullish/bearish): +2.5 points
• High relative volume (>1.5x): +0-2.0 points (scaled)
• Volume impulse (>2.0x): +1.5 points
• VWAP extremes: +1.0 point
• Trend alignment (Kalman fast vs slow): +1.5 points
• MACD crossover/momentum: +1.0 point
Structural Factors:
• Near support (within 0.5 ATR): +0-2.0 points (inverse distance)
• Near resistance (within 0.5 ATR): +0-2.0 points (inverse distance)
• Harmonic PRZ zone: +3.0 to +6.0 points (pattern score dependent)
• Break of structure: +1.5 points
Regime Adjustments:
• Trend weight: 1.5× in trend regime, 0.5× in mean-reversion
• Mean-reversion weight: 1.5× in MR regime, 0.5× in trend
• Volatility multiplier: 0.7-1.3× based on ATR regime
• Theory mode multiplier: 0.8× (Conservative) to 1.2× (APEX)
Final Threshold:
Base threshold (default 3.5) adjusted by:
• Theory mode: -0.3 (APEX) to +0.8 (Conservative)
• Regime: +0.5 (high vol) to -0.3 (low vol or strong trend)
• Filter: +0.2 if regime filter enabled
5. SIGNAL GENERATION ARCHITECTURE
Five-stage validation process:
Stage 1 - ML Kernel Analysis:
• Entropy threshold check
• DFA regime classification
• Kalman acceleration confirmation
Stage 2 - Structural Confirmation:
• Market structure supports directional bias
• BOS alignment (if required)
• Swing point validation
Stage 3 - Trigger Validation:
• Engulfing candle (if required)
• HTF bias confirmation (if strict HTF enabled)
• Harmonic PRZ alignment (if confirmation enabled)
Stage 4 - Consistency Check:
• Anticipation depth: checks N bars back (1-13 configurable)
• Ensures Kalman acceleration direction persists
• Filters whipsaw conditions
Stage 5 - Structural Soundness (Critical Filter):
• Verifies adequate room before next major swing level
• Long signals: must have >0.25 ATR clearance to last swing high
• Short signals: must have >0.25 ATR clearance to last swing low
• Prevents trades directly into obvious structural barriers
Dynamic Risk Management:
• Stop-loss: Placed beyond last structural swing ± 2 ticks
• Take-profit 1: Risk × configurable R1 multiplier (default 1.5R)
• Take-profit 2: Risk × configurable R2 multiplier (default 3.0R)
• Confidence score: Calibrated 0-99% based on confluence + kernel boost
6. ADAPTIVE REGIME SYSTEM
Continuous market state monitoring:
Trend Regime:
• Kalman fast vs slow positioning
• Multi-timeframe alignment (optional HTF)
• Strength: ATR-normalized fast/slow spread
Volatility Regime:
• Current ATR vs 100-bar average
• Regime ratio: 0.7-1.3 typical range
• Affects swing size filtering and cooldown periods
Signal Cooldown:
• Base: User-set bars (1-300)
• High volatility (>1.5): cooldown × 1.5
• Low volatility (<0.5): cooldown × 0.7
• Post-BOS: minimum 20-bar cooldown enforced
FOUR OPERATIONAL MODES
CONSERVATIVE MODE:
• Threshold adjustment: +0.8
• Mode multiplier: 0.8×
• Strictest filtering for highest quality
• Recommended for: Beginners, large accounts, swing trading
• Expected signals: 3-5 per week (typical volatile instrument)
BALANCED MODE:
• Threshold adjustment: +0.3
• Mode multiplier: 1.0×
• Standard operational parameters
• Recommended for: General trading, learning phase
• Expected signals: 5-10 per week
APEX MODE:
• Threshold adjustment: -0.3
• Mode multiplier: 1.2×
• Maximum sensitivity, reduced cooldowns
• Recommended for: Scalping, high volatility, experienced traders
• Expected signals: 10-20 per week
INSTITUTIONAL MODE:
• Threshold adjustment: +0.5
• Mode multiplier: 1.1×
• Enhanced structural weighting, HTF emphasis
• Recommended for: Professional traders, swing positions
• Expected signals: 4-8 per week
VISUAL COMPONENTS
1. Fibonacci Retracement Levels
• Auto-calculated from most recent swing structure
• Standard levels: 0%, 23.6%, 38.2%, 50%, 61.8%, 78.6%, 100%, 127.2%, 161.8%, 200%, 261.8%
• Key levels emphasized (50%, 61.8%, 100%, 161.8%)
• Color gradient from bullish to bearish based on level
• Automatic cleanup when levels are crossed
• Label intensity control (None/Fib only/All)
2. Support and Resistance Lines
• Dynamic horizontal levels from swing clusters
• Width: 2px solid lines
• Colors: Green (support), Red (resistance)
• Labels show price and level type
• Touch-based validation (minimum 2 touches)
• Real-time updates and invalidation
3. Harmonic PRZ Boxes
• Displayed around pattern completion (D point)
• Pattern-specific colors (Gartley: purple, Bat: orange, etc.)
• Box height: ATR-based zone sizing
• Score-dependent transparency
• 100-bar active window before removal
4. Confluence Boxes
• Appear when confluence ≥ threshold
• Yellow/orange gradient based on score strength
• Height: High to low of bar
• Width: 1 bar on each side
• Real-time score-based transparency
5. Kalman Filter Lines
• Fast filter: Bullish color (green default)
• Slow filter: Bearish color (red default)
• Width: 2px
• Transparency adjustable (0-90%)
• Optional display toggle
6. Signal Markers
• Long: Green triangle below bar (tiny size)
• Short: Red triangle above bar (tiny size)
• Appear only on confirmed signals
• Includes alert generation
7. Premium Dashboard
Features real-time metrics with visual gauges:
Layout Options:
• Position: 4 corners selectable
• Size: Small (9 rows) / Normal (12 rows) / Large (14 rows)
• Themes: Supreme, Cosmic, Vortex, Heritage
Metrics Displayed:
• Gamma (DFA - 0.5): Shows trend persistence vs mean-reversion
• TCI (Trend Strength): ATR-normalized Kalman spread with gauge
• v/c (Relative Volume): Current vs average with color coding
• Entropy: Market predictability state with gauge
• HFL (High-Frequency Line): Kalman fast/slow difference / ATR
• HFL_acc (Acceleration): Second derivative momentum
• Mem Bias: Net bullish-bearish confluence (-1 to +1)
• Assurance: Confidence × (1-entropy) metric
• Squeeze: Bollinger Band / Keltner Channel squeeze detection
• Breakout P: Probability estimate from DFA + trend + acceleration
• Score: Final confluence vs threshold (normalized)
• Neighbors: Active harmonic patterns count
• Signal Strength: Strong/Moderate/Weak classification
• Signal Banner: Current directional bias with emoji indicators
Gauge Visualization:
• 10-bar horizontal gauges (█ filled, ░ empty)
• Color-coded: Green (strong) / Gold (moderate) / Red (weak)
• Real-time updates every bar
HOW TO USE
Step 1: Configure Mode and Resolution
• Select Theory Mode based on trading style (Conservative/Balanced/APEX/Institutional)
• Set Structural Resolution (Standard for fast markets, High for balanced, Ultra/Institutional for swing)
• Enable Adaptive Filtering (recommended for all volatile assets)
Step 2: Enable Desired Kernels
• Shannon Entropy: Essential for predictability detection (recommended ON)
• DFA Analysis: Critical for regime classification (recommended ON)
• Kalman Filter: Provides lag-free trend tracking (recommended ON)
• All three work synergistically; disabling reduces effectiveness
Step 3: Configure Confluence Factors
• Enable desired technical factors (RSI, MACD, Volume, Divergence)
• Enable Liquidity Mapping for support/resistance proximity scoring
• Enable Harmonic Detection if trading pattern-based setups
• Adjust base confluence threshold (3.5 default; higher = fewer, cleaner signals)
Step 4: Set Trigger Requirements
• Require Engulfing: Adds precision, reduces frequency (recommended for Conservative)
• Require BOS: Ensures structural alignment (recommended for trend-following)
• Require Structural Soundness: Critical filter preventing traps (highly recommended)
• Strict HTF Bias: For multi-timeframe traders only
Step 5: Adjust Visual Preferences
• Enable/disable Fibonacci levels, S/R lines, PRZ boxes, confluence boxes
• Set label intensity (None/Fib/All)
• Adjust transparency (0-90%) for overlay clarity
• Configure dashboard position, size, and theme
Step 6: Configure Alerts
• Enable master alerts toggle
• Select alert types: Anticipation, Confirmation, High Confluence, Low Entropy
• Enable JSON details for automated trading integration
Step 7: Interpret Signals
• Wait for triangle markers (green up = long, red down = short)
• Check dashboard for confluence score, entropy, DFA regime
• Verify signal aligns with higher timeframe bias (if using HTF setting)
• Confirm adequate space to take-profit levels (no nearby structural barriers)
Step 8: Execute and Manage
• Enter at close of signal candle (or next bar open)
• Set stop-loss at calculated level (visible in alert if JSON enabled)
• Scale out at TP1 (1.5R default), trail remaining to TP2 (3.0R default)
• Exit early if entropy spikes >0.7 or DFA regime flips against position
CUSTOMIZATION GUIDE
Timeframe Optimization:
Scalping (1-5 minutes):
• Theory Mode: APEX
• Anticipation Depth: 3-5
• Structural Resolution: STANDARD
• Signal Cooldown: 8-12 bars
• Enable fast kernels, disable HTF bias
Day Trading (15m-1H):
• Theory Mode: BALANCED
• Anticipation Depth: 5-8
• Structural Resolution: HIGH
• Signal Cooldown: 12-20 bars
• Standard configuration
Swing Trading (4H-Daily):
• Theory Mode: INSTITUTIONAL
• Anticipation Depth: 8-13
• Structural Resolution: ULTRA or INSTITUTIONAL
• Signal Cooldown: 20-50 bars
• Enable HTF bias, strict confirmations
Market Type Optimization:
Forex Majors:
• All kernels enabled
• Harmonic patterns effective
• Balanced or Institutional mode
• Standard settings work well
Stock Indices:
• Emphasis on volume analysis
• DFA critical for regime detection
• Conservative or Balanced mode
• Enable liquidity mapping
Cryptocurrencies:
• Adaptive filtering essential
• Higher volatility regime expected
• APEX mode for active trading
• Wider ATR multiples for swing sizing
IMPORTANT DISCLAIMERS
• This indicator does not predict future price movements
• Computational kernels calculate probabilities, not certainties
• Past confluence scores do not guarantee future signal performance
• Always backtest on YOUR specific instruments and timeframes before live trading
• Machine learning kernels require calibration period (minimum 100 bars of data)
• Performance varies significantly across market conditions and regimes
• Signals are suggestions for analysis, not automated trading instructions
• Proper risk management (stops, position sizing) is mandatory
• Complex calculations may impact performance on lower-end devices
• Designed for liquid markets; avoid illiquid or gap-prone instruments
PERFORMANCE CONSIDERATIONS
Computational Intensity:
• DFA analysis: Moderate (scales with length and box size parameters)
• Entropy calculation: Moderate (scales with lookback and bins)
• Kalman filtering: Low (efficient state-space updates)
• Harmonic detection: Moderate to High (pattern matching across swing history)
• Overall: Medium computational load
Optimization Tips:
• Reduce Structural Analysis Depth (144 default → 50-100 for faster performance)
• Increase Calc Step (2 default → 3-4 for lighter load)
• Reduce Pattern Analysis Depth (8 default → 3-5 if harmonics not primary focus)
• Limit Draw Window (150 bars default prevents visual clutter on long charts)
• Disable unused confluence factors to reduce calculations
Best Suited For:
• Liquid instruments: Major forex, stock indices, large-cap crypto
• Active timeframes: 5-minute through daily (avoid tick/second charts)
• Trending or ranging markets: Adapts to both via regime detection
• Pattern traders: Harmonic integration adds geometric confluence
• Multi-timeframe analysts: HTF bias and regime detection support this approach
Not Recommended For:
• Illiquid penny stocks or micro-cap altcoins
• Markets with frequent gaps (stocks outside regular hours without gap adjustment)
• Extremely fast timeframes (tick, second charts) due to calculation overhead
• Pure mean-reversion systems (unless using CONSERVATIVE mode with DFA filters)
METHODOLOGY NOTE
The computational kernels (Shannon Entropy, DFA, Kalman Filter) are established statistical and signal processing techniques adapted for financial time series analysis. These are deterministic mathematical algorithms, not predictive AI models. The term "machine learning" refers to the adaptive, data-driven nature of the calculations, not neural networks or training processes.
Confluence scoring is rule-based with regime-dependent weighting. The system does not "learn" from historical trades but adapts its sensitivity to current volatility and trend conditions through mathematical regime classification.
SUPPORT & UPDATES
• Questions about configuration or usage? Send me a message on TradingView
• Feature requests are welcome for consideration in future updates
• Bug reports appreciated and addressed promptly
• I respond to messages within 24 hours
• Regular updates included (improvements, optimizations, new features)
FINAL REMINDERS
• This is an analytical tool for confluence analysis, not a standalone trading system
• Combine with your existing strategy, risk management, and market analysis
• Start with paper trading to learn the system's behavior on your markets
• Allow 50-100 signals minimum for performance evaluation
• Adjust parameters based on YOUR timeframe, instrument, and trading style
• No indicator guarantees profitable trades - proper risk management is essential
— Dskyz, Trade with insight. Trade with anticipation.
Quantum Reservoir Computing⚛ Quantum Reservoir Computing - Multi-Scale Market Analysis
OVERVIEW
This indicator combines three structural analysis kernels (Energy, Resonance, Topology) with a 6-spin reservoir computing network to provide multi-dimensional market state monitoring. It is designed to detect structural shifts, coherence alignment, and potential entry timing through visual analytics and optional signal markers.
WHAT MAKES IT ORIGINAL
Unlike single-indicator approaches, QRC fuses complementary analysis methods and uses a reservoir computing layer (coupled oscillator network) to capture temporal market structure. The system uses entropy-compensated signal logic to maintain directional alignment across kernels with inverted mathematical properties.
HOW IT WORKS (Technical Details)
1. ENERGY KERNEL
Measures compression state through two components:
• Entropy: Volatility-normalized return distribution, inverted (low volatility = high compression energy)
• ATR Compression: Short-period ATR divided by longer-period baseline ATR
• Final Energy: Weighted average of both components, ranging 0 to 1
2. RESONANCE KERNEL
Calculates cross-timeframe coherence using:
• 6 exponential moving averages (periods: 9, 14, 20, 30, 48, 84)
• Slope calculation for each EMA
• Amplitude weighting based on user-selected mode (Close/ATR/StDev)
• Coherence Index (CI): Measures directional agreement across all timeframes
• Mode Persistence: Stability of CI over 20 bars
3. TOPOLOGY KERNEL
Analyzes path geometry through:
• Turn density: Rate of price directional changes
• Curvature: Second-order price differences normalized by ATR
• Combined into a 0-1 topology change metric
4. RESERVOIR COMPUTING (6-Spin Network)
Six coupled state variables (spins) arranged in a ring topology:
• Drive signal combines directional consensus, price z-score, volume, and ATR regime
• Each spin updates via hyperbolic tangent activation with neighbor coupling
• Psi (Ψ): Coherence measure (average pairwise spin correlation)
• Spin Direction: Signed average of all spins
• Pulse detection: Positive changes in Ψ, z-scored to detect energy releases
5. FUSION & SCORING
• Magnitude: Weighted combination of all kernels (0 to 1 scale)
• Direction: Blend of EMA slope consensus, basis slope, and spin direction (-1 to 1)
• ScoreSigned: Direction multiplied by Magnitude (drives visuals)
• GateScore: Amplified score used only for signal threshold checks
• Heat: Entanglement measure combining Ψ, CI, and Magnitude
SIGNAL LOGIC (Important: Entropy-Compensated Inversion)
Because the entropy kernel naturally inverts (low volatility = bullish compression), signal logic compensates to maintain directional alignment:
• LONG signals fire when GateScore crosses below the short threshold (bearish GateScore + bullish structure)
• SHORT signals fire when GateScore crosses above the long threshold (bullish GateScore + bearish structure)
This inversion has been visually validated through metric plotting and maintains correct alignment with Resonance and Topology kernels.
Signal gates require:
• Two-of-three pass: CI ≥ minimum, Mode Persistence ≥ minimum, Ψ ≥ minimum
• Heat ≥ minimum threshold
• OR recent pulse window active (ΔΨ edge within N bars)
• Minimum bar spacing between signals (prevents clustering)
VISUAL COMPONENTS
1. Contained Ribbon (Recommended Mode)
• Center line: Basis EMA
• Edge: Positioned by ScoreSigned value
• Fill color: Green (bullish) or Red (bearish)
• Width: ATR-adaptive with configurable floor/ceiling
2. Quantum Aurora (Multi-Layer Energy Bands)
• 5-8 harmonic layers with phase-driven oscillations
• Colors shift with Heat level (cool blue at low Heat, warm orange/magenta at high Heat)
• Creates visual texture that reflects market state dynamics
3. Interference Mesh
• Subtle oscillating overlay modulated by CI and ScoreSigned
• Provides depth perception without visual clutter
4. Resonance Cloud
• Width proportional to Coherence Index
• Wide cloud = strong cross-timeframe alignment
• Narrow cloud = weak structural coherence
5. Energy Particles
• Floating micro-dots with density mapped to Magnitude
• Color-coded by Heat level (gold/cyan/gray)
• Provides continuous conviction feedback
6. Regime Atmosphere
• Background tint indicating market mode:
- Green: Coherent trend (CI>0.65, Ψ>0.55)
- Red: Choppy regime (CI<0.45, Ψ<0.40)
- Purple: Transition state
DASHBOARDS
1. Main Dashboard (Moveable, Resizable)
• Regime indicator with color-coded status
• Horizontal meter gauges for Ψ, CI, Heat, Magnitude
• Signal strength bars for Score and Gate
• Status indicators (dots) for ΔΨ, Heat, CI health
• Directional arrows and bars-since-signal counter
• Size options: Tiny, Small, Normal, Large
• Position: All four corners available
2. Heat HUD (Entanglement Matrix)
• Multi-row gradient display of last N bars (configurable 10-120)
• Metrics: Heat, Psi, CI, Magnitude, Pulse Z-score, Gate proximity
• Color-coded blocks show metric intensity over time
• Live footer with current values
• Resizable and moveable
HOW TO USE
Step 1: Monitor Regime and Structure
• Check Dashboard regime indicator (Trend/Chop/Transition)
• Observe Aurora flow (smooth = stable, erratic = unstable)
• Wide Resonance Cloud indicates strong multi-timeframe alignment
Step 2: Watch Entanglement Heat
• Heat HUD shows persistent structure as amber/red runs
• Green status dots indicate healthy metrics
• Rising Heat + rising Ψ suggests mode-locking
Step 3: Confirm Gate Conditions
• Dashboard displays effective thresholds (dynamically relaxed after dry periods)
• Two-of-three gate (CI/ModePersistence/Ψ) must pass OR recent pulse active
• Strength bars show conviction level
Step 4: Interpret Signals
• Enable "Show Diagnostic Plots" to verify metric behavior on your symbols
• Signals appear as tiny triangles (green below bars = long, red above = short)
• Best confluence: Heat rising + fresh pulse cluster + strong CI
Step 5: Risk Management
• Place stops beyond opposite ribbon edge plus 0.5 ATR buffer
• Trail stops following basis ± ATR fraction while Heat/Psi remain elevated
• Exit early if CI or Ψ collapse (status dots turn yellow/red)
CUSTOMIZATION
Extensive settings available:
• Core: EMA length, ATR length, pulse thresholds, heat minimum
• Signals: Mode (Aggressive/Normal/Conservative), thresholds, spacing, gain
• Visuals: Ribbon mode, Aurora layers, particle density, all show/hide toggles
• Dashboards: Size, position for both main dashboard and heat HUD
• Diagnostics: Optional metric plots for validation
IMPORTANT DISCLAIMERS
• This indicator does not predict future price movements
• Signals use entropy-compensated inversion (explained above); verify on your symbols
• Always backtest on your specific markets and timeframes before live trading
• Past performance does not guarantee future results
• Heavy visuals may impact performance on lower-end devices (use Performance toggles)
• Designed for liquid markets (major indices, forex, crypto); may underperform on illiquid symbols
• Complex system with learning curve; read full guide embedded in code
DIAGNOSTIC MODE
Enable "Show Diagnostic Plots" in settings to verify metric behavior:
• Heat, Psi, CI, Magnitude plotted in lower pane
• ScoreSigned and GateScore normalized to 0-1 scale
• Reference lines at 0.25, 0.5, 0.75 for threshold context
• Observe metric alignment with price action on YOUR symbols
METHODOLOGY NOTE
The "Quantum" terminology refers to the reservoir computing methodology (coupled oscillator network), not actual quantum mechanics. The 6-spin network uses hyperbolic tangent activation functions to model temporal market structure. This is a deterministic mathematical model, not a quantum computing system.
BEST SUITED FOR
• Liquid markets: Major indices (ES, NQ), forex majors (EUR/USD, GBP/USD), large-cap crypto (BTC, ETH)
• Timeframes: 5-minute through daily (works on all, but designed for intraday to swing)
• Trading styles: Structure-based entries, multi-timeframe confluence, visual state monitoring
• Experience level: Intermediate to advanced (complex system with learning curve)
PERFORMANCE CONSIDERATIONS
• Heavy calculations (6 spins, 6 EMAs, Aurora layers, particles) may lag on lower-end devices
• Use "Dashboard Size: Tiny" and reduce "Aurora Layers" to 2-3 for better performance
• Consider disabling "Energy Particles" on mobile devices
• Script is optimized with array capping and label recycling, but complexity remains high
SUPPORT & UPDATES
• Questions about usage or settings? Send me a message - I respond within 24 hours
• Feature requests are welcome for consideration in future updates
• Bug reports appreciated and addressed promptly
• Script will be maintained and updated as needed
FINAL REMINDERS
• This is an analytical tool, not a trading system
• Always backtest on YOUR symbols and timeframes before live use
• Use proper risk management - stops, position sizing, etc.
• Past performance does not guarantee future results
• Start with demo/paper trading to learn the system
— Dskyz, Trade with insight. Trade with anticipation.
VAGANZA Swings V1 LITE1. Introduction: The Philosophy Behind VAGANZA Swings
The VAGANZA Swings V1 LITE was developed to solve a common problem faced by swing traders: getting caught in low-probability trades during choppy, sideways markets. Many indicators can identify a trend, but few can effectively measure its quality and pinpoint optimal, low-risk entry points within that trend.
This script is not merely a "mashup" of existing indicators. It is a structured, multi-layered filtering system where each component is specifically chosen to address the weaknesses of the others. The core philosophy is to trade only when there is a clear market consensus, confirmed by trend, strength, momentum, and volume. This results in fewer signals, but each signal is designed to be of significantly higher quality.
2. The VAGANZA Confirmation Engine: A Deeper Look at the Logic
A signal is only generated when four distinct market conditions align. This sequential confirmation process is what makes the script unique and robust.
Layer 1: The Trend Regime Filter
What it does: The indicator first establishes the dominant market bias using a dual-speed baseline system. A faster-reacting baseline is compared against a slower, more stable baseline to determine if the market is in a long-term bullish or bearish "regime."
Why it's important: This foundational step ensures we are never fighting the primary market current. BUY signals are disabled during a bearish regime, and SELL signals are disabled during a bullish regime, instantly eliminating 50% of potentially bad trades.
Layer 2: The Trend Strength & Conviction Qualifier
What it does: This is the script's core intelligence. After confirming the trend's direction, this layer uses a directional volatility engine to measure the trend's strength or conviction. It analyzes the expansion between bullish and bearish price movements.
Why it's important: A simple moving average crossover can occur in a weak, drifting market, leading to false signals. This filter requires the trend to be demonstrably powerful (above a predefined strength threshold of 25) before allowing the system to even look for an entry. It's the primary filter for avoiding sideways market traps.
Layer 3: The Dynamic Pullback & Entry Trigger
What it does: Instead of chasing price at its peak, the script waits for a natural "breather" or pullback. It employs a momentum cycle oscillator to identify when the price has become temporarily oversold within a strong uptrend, or overbought within a strong downtrend. The signal is triggered at the precise moment momentum appears to be rejoining the primary trend.
Why it's important: This ensures a more favorable risk-to-reward ratio. By entering on a pullback, traders can avoid buying the top or selling the bottom of a short-term swing, which is a common mistake.
Layer 4: The Volume Participation Check
What it does: As a final confirmation, the script checks the volume on the signal candle. It requires the volume to be higher than its recent average.
Why it's important: A price move without significant volume can be a trap. This final check confirms that there is genuine market participation and conviction behind the signal, suggesting that larger market players are supporting the move.
3. The Synergy of the System (Why This Combination is Original)
The originality of VAGANZA Swings lies not in its individual components, but in their synergistic interaction:
The Trend Regime Filter sets the stage.
The Trend Strength Qualifier prevents signals when the stage is poorly lit (i.e., a weak trend).
The Pullback & Entry Trigger tells the actor exactly when to enter the stage for maximum impact.
The Volume Check ensures the audience is actually watching.
Without the strength filter, the trend filter would fail in ranging markets. Without the pullback trigger, entries would have poor risk-reward. This interdependent, sequential logic provides a unique and useful tool that goes beyond what a single indicator can offer.
4. How to Use This Script
Timeframe: Optimized for the 4-Hour (H4) chart, as this provides a balance between meaningful swings and actionable signals. It can also be used on the Daily (D1) chart for longer-term analysis.
BUY Signal (Green "BUY" Arrow): Appears only when a strong, confirmed uptrend experiences a temporary, oversold pullback and volume confirms renewed buying interest. This is a high-probability signal to consider a long position.
SELL Signal (Red "SELL" Arrow): Appears only when a strong, confirmed downtrend experiences a temporary, overbought rally and volume confirms renewed selling pressure. This is a high-probability signal to consider a short position.
Risk Management: This indicator provides entry signals only. It is crucial that you apply your own risk management rules. Always use a stop-loss and have a clear take-profit strategy for every trade.
Disclaimer: This tool is for decision-support and does not constitute financial advice. All trading involves risk. Past performance is not indicative of future results. Please backtest thoroughly before using this script with real capital.
Triple Stochastic RSITriple Stochastic RSI (TSRSI)
The Triple Stochastic RSI is a momentum visualization tool designed to help identify potential market tops and bottoms with greater clarity. This indicator stacks three layers of smoothed StochRSI — Fast , Slow , and Slowest — each derived from increasingly longer RSI and Stochastic periods.
By analyzing how these layers interact, especially when the Slow (purple) and Slowest (orange) lines converge or cross near overbought or oversold zones, traders can spot high-probability reversal points. These moments often precede price turning points, and the signals gain strength when confirmed by divergences between price and indicator movement.
Key features include:
Triple StochRSI smoothing to capture short- to long-term momentum shifts.
Dynamic overbought/oversold signals with visual cross markers.
Built-in trend sentiment and average streak statistics.
Alerts for crossovers, trend shifts, and extended over/underperformance streaks.
Use it as a standalone momentum framework or as a supporting layer for divergence detection and market exhaustion analysis.
The stats table in your script provides insight into how long each Stochastic line (%K) typically stays above or below the 50 midline, and how the current streak compares to that average.
1. "Current" Column
This shows how many consecutive bars the %K has been:
Above 50 (▲)
OR Below 50 (▼)
It updates in real time on the last bar.
2. "Avg ▲ / Avg ▼" Column
These are historical averages based on your lookbackPeriod (default 1000 bars). It shows:
The average length of time %K stays above 50 (bullish bias)
The average time it stays below 50 (bearish bias)
Example Breakdown:
Let’s say the "Slow" row shows:
Current: 7 ▼
Avg ▲ / Avg ▼: 6 / 5
This means:
%K on the Slow lane has been below 50 for 7 bars
Historically, it only stays below 50 for about 5 bars on average
So, this bearish streak is already longer than usual
How to Use This Information:
A longer-than-average streak could imply a maturing move, potentially near exhaustion.
If current ▲ or ▼ streak is nearing or exceeding its average, it may warn of an upcoming shift.
Good for contextualizing trends and avoiding late entries.
HermesHERMES STRATEGY - TRADINGVIEW DESCRIPTION
OVERVIEW
Hermes is an adaptive trend-following strategy that uses dual ALMA (Arnaud Legoux Moving Average) filters to identify high-quality entry and exit points. It's designed for swing and position traders who want smooth, low-lag signals with minimal whipsaws.
Unlike traditional moving averages that operate on price, Hermes analyzes price returns (percentage changes) to create signals that work consistently across any asset class and price range.
HOW IT WORKS
DUAL ALMA SYSTEM
The strategy uses two ALMA lines applied to price returns:
• Fast ALMA (Blue Line): Short-term trend signal (default: 80 periods)
• Slow ALMA (Black Line): Long-term baseline trend (default: 250 periods)
ALMA is superior to simple or exponential moving averages because it provides:
• Smoother curves with less noise
• Significantly reduced lag
• Natural resistance to outliers and flash crashes
TRADING LOGIC
BUY SIGNAL:
• Fast ALMA crosses above Slow ALMA (bullish regime)
• Price makes new N-bar high (momentum confirmation)
• Optional: Price above 200 EMA (macro trend filter)
• Optional: ALMA lines sufficiently separated (strength filter)
SELL SIGNAL:
• Fast ALMA crosses below Slow ALMA (bearish regime)
• Optional: Price makes new N-bar low (momentum confirmation)
The strategy stays in position during the entire bullish regime, allowing you to ride trends for weeks or months.
VISUAL INDICATORS
LINES:
• Blue Line: Fast ALMA (short-term signal)
• Black Line: Slow ALMA (long-term baseline)
TRADE MARKERS:
• Green Triangle Up: Buy executed
• Red Triangle Down: Sell executed
• Orange "M": Buy blocked by momentum filter
• Purple "W": Buy blocked by weak crossover strength
KEY PARAMETERS
ALMA SETTINGS:
• Short Period (default: 30) - Fast signal responsiveness
• Long Period (default: 250) - Baseline stability
• ALMA Offset (default: 0.90) - Balance between lag and smoothness
• ALMA Sigma (default: 7.5) - Gaussian curve width
ENTRY/EXIT FILTERS:
• Buy Lookback (default: 7) - Bars for momentum confirmation (required)
• Sell Lookback (default: 0) - Exit momentum bars (0 = disabled for faster exits)
• Min Crossover Strength (default: 0.0) - Required ALMA separation (0 = disabled)
• Use Macro Filter (default: true) - Only enter above 200 EMA
BEST PRACTICES
RECOMMENDED ASSETS - Works well on:
• Cryptocurrencies (Bitcoin, Ethereum, etc.)
• Major indices (S&P 500, Nasdaq)
• Large-cap stocks
• Commodities (Gold, Oil)
RECOMMENDED TIMEFRAMES:
• Daily: Primary timeframe for swing trading
• 4-Hour: More active trading (increase trade frequency)
• Weekly: Long-term position trading
PARAMETER TUNING:
• More trades: Lower Short Period (60-80)
• Fewer trades: Raise Short Period (100-120)
• Faster exits: Set Sell Lookback = 0
• Safer entries: Enable Macro Filter (Use Macro Filter = true)
STRATEGY ADVANTAGES
1. Low Lag - ALMA provides faster signals than traditional moving averages
2. Smooth Signals - Minimal whipsaws compared to crossover strategies
3. Asset Agnostic - Same parameters work across different markets
4. Trend Capture - Stays positioned during entire bullish regimes
5. Risk Management - Multiple filters prevent poor entries
6. Visual Clarity - Easy to interpret regime and filter states
WHEN TO USE HERMES
BEST FOR:
• Trending markets (crypto bull runs, equity uptrends)
• Swing trading (hold days to weeks)
• Position trading (hold weeks to months)
• Clear trend identification
• Risk-managed exposure
NOT SUITABLE FOR:
• Ranging/sideways markets
• Scalping or day trading
• High-frequency trading
• Mean reversion strategies
RISK DISCLAIMER
This indicator is for educational purposes only. Past performance does not guarantee future results. Always use proper position sizing and risk management. Test thoroughly on historical data before live trading.
CREDITS
Inspired by Giovanni Santostasi's Power Law Volatility Indicator, generalized for universal application across all assets using adaptive ALMA filtering.
Strategy by Hermes Trading Systems
QUICK START
1. Add indicator to chart
2. Use on daily timeframe for best results
3. Look for green buy signals when blue line crosses above black line
4. Exit on red sell signals when blue line crosses below black line
5. Adjust parameters based on your trading style:
• Conservative: Enable Macro Filter, increase Buy Lookback to 10
• Aggressive: Disable Macro Filter, lower Short Period to 60
• Default settings work well for most assets
Golden Cross 50/200Simplicity characterizes each of my trading systems and methods. On this occasion, I present a trend-following strategy with simple rules and high profitability.
System Rules:
-Long entries when the 50 EMA crosses above the 200 EMA.
-Stop Loss (SL) placed at the low of 15 candles prior to the entry candle.
-Take Profit (TP) triggered when the 50 EMA crosses below the 200 EMA.
As with any trend-following system, we sacrifice win rate for profitability, and of course, we will focus on traditional markets with a consistent trend-following nature over time.
Recommended Markets and Timeframes:
BTCUSDT H6
August 17, 2017 - October 20, 2025 Total trades: 30
Profitability: +1,682.99%
Win rate: 40%
Outperforms Buy & Hold
BTCUSDT H4
August 17, 2017 - October 20, 2025 Total trades: 42
Profitability: +12,213.49% (high and stable performance curve)
Win rate: 40%
Outperforms Buy & Hold
BTCUSDT H2
August 17, 2017 - October 20, 2025 Total trades: 95
Profitability: +2,363.80%
Win rate: 24.21%
Matches Buy & Hold
BTCUSDT H1
August 17, 2017 - October 20, 2025 Total trades: 203
Profitability: +1,045% (stable performance curve)
Win rate: 25.62%
BTCUSDT 30M
August 17, 2017 - October 20, 2025 Total trades: 393
Profitability: +4,205.51% (high and stable performance curve)
Win rate: 27.74%
Outperforms Buy & Hold
BTCUSDT 15M
August 17, 2017 - October 20, 2025 Total trades: 821
Profitability: +1,311.97%
Win rate: 23.14%
Timeframes such as Daily, 12-hour, 8-hour, and even 5-minute charts are profitable with this system, so feel free to experiment.
Other markets and timeframes to observe include:
-XAUUSD (H1, H4, H6, H8, Daily)
-SPX (Daily: +21,302% profitability since 1871 in 40 trades)
-Tesla (H1, H2, H4, H6, especially M30 and M15)
-Apple (M5, M15, M30, H1, H2, H4…)
-Warner Bros (M5, M15, M30…)
-GOOGL (M5, M15, M30, H1, H2, H4, H6…)
-AMZN (M5, M15, M30, H2, H4, H6…)
-META (M5, M15, M30, H1, H2, H4…)
-NVDA (M5, M15, M30, H1, H2, H4…)
This system not only generates significant profitability but also performs very well in traditional markets, even on lower timeframes like 5-minute charts. In many cases, the returns far exceed Buy & Hold.
I hope this strategy is useful to you. Follow my Spanish-speaking profile if you want to see my market analyses, and send me your good vibes!
Smart Money Dynamics Blocks — Pearson MatrixSmart Money Dynamics Blocks — Pearson Matrix
A structural fusion of Prime Number Theory, Pearson Correlation, and Cumulative Delta Geometry.
1. Mathematical Foundation
This indicator is built on the intersection of Prime Number Theory and the Pearson correlation coefficient, creating a structural framework that quantifies how price and time evolve together.
Prime numbers — unique, indivisible, and irregular — are used here as nonlinear time intervals. Each prime length (2, 3, 5, 7, 11…97) represents a regression horizon where correlation is measured between price and time. The result is a multi-scale correlation lattice — a geometric matrix that captures hidden directional strength and temporal bias beyond traditional moving averages.
2. The Pearson Matrix Logic
For every prime interval p, the indicator calculates the linear correlation:
r_p = corr(price, bar_index, p)
Each r_p reflects how closely price and time move together across a prime-defined window. All r_p values are then averaged to create avgR, a single adaptive coefficient summarizing overall structural coherence.
- When avgR > 0.8 → strong positive correlation (labeled R+).
- When avgR < -0.8 → strong negative correlation (labeled R−).
This approach gives a mathematically grounded definition of trend — one that isn’t based on pattern recognition, but on measurable correlation strength.
3. Sequential Prime Slope and Median Pivot
Using the ordered sequence of 25 prime intervals, the model computes sequential slopes between adjacent primes. These slopes represent the rate of change of structure between two prime scales. A robust median aggregator smooths the slopes, producing a clean, stable directional vector.
The system anchors this slope to the 41-bar pivot — the median of the first 25 primes — serving as the geometric midpoint of the prime lattice. The resulting yellow line on the chart is not an ordinary regression line; it’s a dynamic prime-slope function, adapting continuously with correlation feedback.
4. Regression-Style Parallel Bands
Around this prime-slope line, the indicator constructs parallel bands using standard deviation envelopes — conceptually similar to a regression channel but recalculated through the prime–Pearson matrix.
These bands adjust dynamically to:
- Volatility, via standard deviation of residuals.
- Correlation strength, via avgR sign weighting.
Together, they visualize statistical deviation geometry, making it easier to observe symmetry, expansion, and contraction phases of price structure.
5. Volume and Cumulative Delta Peaks
Below the geometric layer, the indicator incorporates a custom lower-timeframe volume feed — by default using 15-second data (custom_tf_input_volume = “15S”). This allows precise delta computation between up-volume and down-volume even on higher timeframe charts.
From this feed, the indicator accumulates delta over a configurable period (default: 100 bars). When cumulative delta reaches a local maximum or minimum, peak and trough markers appear, showing the precise bar where buying or selling pressure statistically peaked.
This combination of geometry and order flow reveals the intersection of market structure and energy — where liquidity pressure expresses itself through mathematical form.
6. Chart Interpretation
The primary chart view represents the live execution of the indicator. It displays the relationship between structural correlation and volume behavior in real time.
Orange “R+” and blue “R−” labels indicate regions of strong positive or negative Pearson correlation across the prime matrix. The yellow median prime-slope line serves as the structural backbone of the indicator, while green and red parallel bands act as dynamic regression boundaries derived from the underlying correlation strength. Peaks and troughs in cumulative delta — displayed as numerical annotations — mark statistically significant shifts in buying and selling pressure.
The secondary visualization (Prime Regression Concept) expands on this by illustrating how regression behavior evolves across prime intervals. Each colored regression fan corresponds to a prime number window (2, 3, 5, 7, …, 97), demonstrating how multiple regression lines would appear if drawn independently. The indicator integrates these into one unified geometric model — eliminating the need to plot tens of regression lines manually. It’s a conceptual tool to help visualize the internal logic: the synthesis of many small-scale regressions into a single coherent structure.
7. Interpretive Insight
This model is not a prediction tool; it’s an instrument of mathematical observation. By translating price dynamics into a prime-structured correlation space, it reveals how coherence unfolds through time — not as a forecast, but as a measurable evolution of structure.
It unifies three analytical domains:
- Prime distribution — defines a nonlinear temporal architecture.
- Pearson correlation — quantifies statistical cohesion.
- Cumulative delta — expresses behavioral imbalance in order flow.
The synthesis creates a geometric analysis of liquidity and time — where structure meets energy, and where the invisible rhythm of market flow becomes measurable.
8. Contribution & Feedback
Share your observations in the comments:
- The time gap and alternation between R+ and R− clusters.
- How different timeframes change delta sensitivity or reveal compression/expansion.
- Prime intervals/clusters that tend to sit near turning points or liquidity shifts.
- How avgR behaves across assets or regimes (trending, ranging, high-vol).
- Notable interactions with the parallel bands (touches, breaks, mean-revert).
Your field notes help others read the model more effectively and compare contexts.
Summary
- Primes define the structure.
- Pearson quantifies coherence.
- Slope median stabilizes geometry.
- Regression bands visualize deviation.
- Cumulative delta locates imbalance.
Together, they construct a framework where mathematics meets market behavior.
Robust Scaled HMA | OquantOverview
The Robust Scaled HMA is an indicator designed to provide a more resilient trend-following signal by combining the Hull Moving Average (HMA) with a robust scaling mechanism based on interquartile range (IQR). Unlike traditional scaled indicators that rely on standard deviation, which can be skewed by outliers in volatile markets, this approach uses quartiles to normalize the HMA values, offering better resistance to extreme price movements. It generates long and short signals based on user-defined thresholds and includes built-in performance metrics to evaluate the indicator's historical behavior, alongside buy-and-hold comparisons(Remember past performance doesn’t guarantee future results). This allows traders to assess potential effectiveness without needing external backtesting tools(Remember past performance doesn’t guarantee future results). The indicator is particularly useful for those seeking a balance between responsiveness and robustness in trend detection, and it visualizes allocation states (LONG, SHORT, or CASH) through color-coded plots and optional tables.
Key Factors/Components
Robust Scaling: Employs IQR for normalization instead of standard deviation, reducing sensitivity to outliers and providing a more stable measure of deviation from the median HMA.
Signal Generation: Threshold-based triggers for long (above upper threshold) and short (below lower threshold) positions, with options to enable/disable longs or shorts to suit directional biases.
Performance Metrics: Calculates key risk-adjusted metrics such as Maximum Drawdown (Max DD), Intra-Trade Max DD, Sharpe Ratio, Sortino Ratio, Omega Ratio, Percent Profitable, Profit Factor, Total Trades, and Net Profit for the indicator's signals.
Buy-and-Hold Comparison: Displays equivalent metrics for a simple buy-and-hold approach on the same asset and timeframe for benchmarking.
Visualization Tools: Color-coded plot of the scaled HMA, threshold lines, optional equity curve, bar coloring, and customizable tables for metrics and allocation status.
Alert Conditions: Built-in alerts for bullish (crossover to long) and bearish (crossunder to short) signals.
How It Works
The indicator starts by computing a standard HMA on the selected source. It then applies robust scaling over a lookback period by subtracting the median HMA and dividing by the IQR (difference between the 75th and 25th percentiles), resulting in a normalized value that highlights deviations in a outlier-resistant manner. Signals are derived simply: values exceeding the upper threshold suggest upward momentum (long), while those below the lower threshold indicate downward momentum (short). The script simulates a basic equity curve by applying these signals to daily returns, holding long/short only when enabled, otherwise defaulting to cash (0% return). Metrics are computed on this equity curve using standard formulas—e.g., Sharpe as average return over standard deviation of returns (annualized), Sortino focusing on downside deviation, and Omega as the ratio of positive to negative returns. All calculations begin from the user-specified start date to ensure relevance to the tested period(Remember past performance doesn’t guarantee future results). This logic emphasizes robustness for real-world application.
For Who It Is Best/Recommended Use Cases
This indicator is best suited for traders focused on trend-following strategies in markets prone to volatility or outliers. Recommended use cases include:
Trend Identification: As a filter for entering/exiting positions.
Strategy Evaluation: Quickly assessing signal quality through integrated metrics without complex backtesting setups(Remember past performance doesn’t guarantee future results).
Customization: Adjusting for bullish biases by disabling shorts, or vice versa, in one-sided markets.
Settings and Default Settings
Start Date: Timestamp for when calculations begin (default: 1 Jan 2018).
Source: Price series for HMA calculation (default: close).
HMA Length: Period for the Hull Moving Average (default: 25).
Robust Scaling Length: Lookback for robust scaling calculations (default: 40).
Upper Threshold: Level above which long signals trigger (default: 0.6).
Lower Threshold: Level below which short signals trigger (default: -0.2).
Allow Long Trades: Enables long positions; if disabled, defaults to cash (default: true).
Allow Shorts: Enables short positions; if disabled, defaults to cash (default: false).
Show Indicator Metrics Table: Displays table with strategy metrics (default: true).
Show Buy&Hold Table: Displays table with asset benchmarks (default: true).
Plot Equity Curve: Shows the simulated equity line (default: false).
Defaults are tuned for general use.
Conclusion
The Robust Scaled HMA offers a fresh take on trend detection by prioritizing robustness through IQR scaling, making it a valuable addition for traders aiming to navigate noisy markets with metrics-backed insights(Remember past performance doesn’t guarantee future results).
⚠️ Disclaimer: This indicator is intended for educational and informational purposes only. Trading/investing involves risk, and past performance does not guarantee future results. Always test and evaluate indicators/strategies before applying them in live markets. Use at your own risk.
Luxy Adaptive MA Cloud - Trend Strength & Signal Tracker V2Luxy Adaptive MA Cloud - Professional Trend Strength & Signal Tracker
Next-generation moving average cloud indicator combining ultra-smooth gradient visualization with intelligent momentum detection. Built for traders who demand clarity, precision, and actionable insights.
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WHAT MAKES THIS INDICATOR SPECIAL?
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Unlike traditional MA indicators that show static lines, Luxy Adaptive MA Cloud creates a living, breathing visualization of market momentum. Here's what sets it apart:
Exponential Gradient Technology
This isn't just a simple fill between two lines. It's a professionally engineered gradient system with 26 precision layers using exponential density distribution. The result? An organic, cloud-like appearance where the center is dramatically darker (15% transparency - where crossovers and price action occur), while edges fade gracefully (75% transparency). Think of it as a visual "heat map" of trend strength.
Dynamic Momentum Intelligence
Most MA clouds only show structure (which MA is on top). This indicator shows momentum strength in real-time through four intelligent states:
- 🟢 Bright Green = Explosive bullish momentum (both MAs rising strongly)
- 🔵 Blue = Weakening bullish (structure intact, but momentum fading)
- 🟠 Orange = Caution zone (bearish structure forming, weak momentum)
- 🔴 Deep Red = Strong bearish momentum (both MAs falling)
The cloud literally tells you when trends are accelerating or losing steam.
Conditional Performance Architecture
Every calculation is optimized for speed. Disable a feature? It stops calculating entirely—not just hidden, but not computed . The 26-layer gradient only renders when enabled. Toggle signals off? Those crossover checks don't run. This makes it one of the most efficient cloud indicators available, even with its advanced visual system.
Zero Repaint Guarantee
All signals and momentum states are based on confirmed bar data only . What you see in historical data is exactly what you would have seen trading live. No lookahead bias. No repainting tricks. No signals that "magically" appear perfect in hindsight. If a signal shows in history, it would have triggered in real-time at that exact moment.
Educational by Design
Every single input includes comprehensive tooltips with:
- Clear explanations of what each parameter does
- Practical examples of when to use different settings
- Recommended configurations for scalping, day trading, and swing trading
- Real-world trading impact ("This affects entry timing" vs "This is visual only")
You're not just getting an indicator—you're learning how to use it effectively .
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THE GRADIENT CLOUD - TECHNICAL DETAILS
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Architecture:
26 precision layers for silk-smooth transitions
Exponential density curve - layers packed tightly near center (where crossovers happen), spread wider at edges
75%-15% transparency range - center is highly opaque (15%), edges fade gracefully (75%)
V-Gradient design - emphasizes the action zone between Fast and Medium MAs
The Four Momentum States:
🟢 GREEN - Strong Bullish
Fast MA above Medium MA
Both MAs rising with momentum > 0.02%
Action: Enter/hold LONG positions, strong uptrend confirmed
🔵 BLUE - Weak Bullish
Fast MA above Medium MA
Weak or flat momentum
Action: Caution - bullish structure but losing strength, consider trailing stops
🟠 ORANGE - Weak Bearish
Medium MA above Fast MA
Weak or flat momentum
Action: Warning - bearish structure developing, consider exits
🔴 RED - Strong Bearish
Medium MA above Fast MA
Both MAs falling with momentum < -0.02%
Action: Enter/hold SHORT positions, strong downtrend confirmed
Smooth Transitions: The momentum score is smoothed using an 8-bar EMA to eliminate noise and prevent whipsaws. You see the true trend , not every minor fluctuation.
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FLEXIBLE MOVING AVERAGE SYSTEM
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Three Customizable MAs:
Fast MA (default: EMA 10) - Reacts quickly to price changes, defines short-term momentum
Medium MA (default: EMA 20) - Balances responsiveness with stability, core trend reference
Slow MA (default: SMA 200, optional) - Long-term trend filter, major support/resistance
Six MA Types Available:
EMA - Exponential; faster response, ideal for momentum and day trading
SMA - Simple; smooth and stable, best for swing trading and trend following
WMA - Weighted; middle ground between EMA and SMA
VWMA - Volume-weighted; reflects market participation, useful for liquid markets
RMA - Wilder's smoothing; used in RSI/ADX, excellent for trend filters
HMA - Hull; extremely responsive with minimal lag, aggressive option
Recommended Settings by Trading Style:
Scalping (1m-5m):
Fast: EMA(5-8)
Medium: EMA(10-15)
Slow: Not needed or EMA(50)
Day Trading (5m-1h):
Fast: EMA(10-12)
Medium: EMA(20-21)
Slow: SMA(200) for bias
Swing Trading (4h-1D):
Fast: EMA(10-20)
Medium: EMA(34-50)
Slow: SMA(200)
Pro Tip: Start with Fast < Medium < Slow lengths. The gradient works best when there's clear separation between Fast and Medium MAs.
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CROSSOVER SIGNALS - CLEAN & RELIABLE
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Golden Cross ⬆ LONG Signal
Fast MA crosses above Medium MA
Classic bullish reversal or trend continuation signal
Most reliable when accompanied by GREEN cloud (strong momentum)
Death Cross ⬇ SHORT Signal
Fast MA crosses below Medium MA
Classic bearish reversal or trend continuation signal
Most reliable when accompanied by RED cloud (strong momentum)
Signal Intelligence:
Anti-spam filter - Minimum 5 bars between signals prevents noise
Clean labels - Placed precisely at crossover points
Alert-ready - Built-in ALERTS for automated trading systems
No repainting - Signals based on confirmed bars only
Signal Quality Assessment:
High-Quality Entry:
Golden Cross + GREEN cloud + Price above both MAs
= Strong bullish setup ✓
Low-Quality Entry (skip or wait):
Golden Cross + ORANGE cloud + Choppy price action
= Weak bullish setup, likely whipsaw ✗
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REAL-TIME INFO PANEL
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An at-a-glance dashboard showing:
Trend Strength Indicator:
Visual display of current momentum state
Color-coded header matching cloud color
Instant recognition of market bias
MA Distance Table:
Shows percentage distance of price from each enabled MA:
Green rows : Price ABOVE MA (bullish)
Red rows : Price BELOW MA (bearish)
Gray rows : Price AT MA (rare, decision point)
Distance Interpretation:
+2% to +5%: Healthy uptrend
+5% to +10%: Getting extended, caution
+10%+: Overextended, expect pullback
-2% to -5%: Testing support
-5% to -10%: Oversold zone
-10%+: Deep correction or downtrend
Customization:
4 corner positions
5 font sizes (Tiny to Huge)
Toggle visibility on/off
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HOW TO USE - PRACTICAL TRADING GUIDE
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STRATEGY 1: Trend Following
Identify trend : Wait for GREEN (bullish) or RED (bearish) cloud
Enter on signal : Golden Cross in GREEN cloud = LONG, Death Cross in RED cloud = SHORT
Hold position : While cloud maintains color
Exit signals :
• Cloud turns ORANGE/BLUE = momentum weakening, tighten stops
• Opposite crossover = close position
• Cloud turns opposite color = full reversal
STRATEGY 2: Pullback Entries
Confirm trend : GREEN cloud established (bullish bias)
Wait for pullback : Price touches or crosses below Fast MA
Enter when : Price rebounds back above Fast MA with cloud still GREEN
Stop loss : Below Medium MA or recent swing low
Target : Previous high or when cloud weakens
STRATEGY 3: Momentum Confirmation
Your setup triggers : (e.g., chart pattern, support/resistance)
Check cloud color :
• GREEN = proceed with LONG
• RED = proceed with SHORT
• BLUE/ORANGE = skip or reduce size
Use gradient as confluence : Not as primary signal, but as momentum filter
Risk Management Tips:
Never enter against the cloud color (don't LONG in RED cloud)
Reduce position size during BLUE/ORANGE (transition periods)
Place stops beyond Medium MA for swing trades
Use Slow MA (200) as final trend filter - don't SHORT above it in uptrends
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PERFORMANCE & OPTIMIZATION
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Tested On:
Crypto: BTC, ETH, major altcoins
Stocks: SPY, AAPL, TSLA, QQQ
Forex: EUR/USD, GBP/USD, USD/JPY
Indices: S&P 500, NASDAQ, DJI
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TRANSPARENCY & RELIABILITY
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Educational Focus:
Detailed tooltips on every input
Clear documentation of methodology
Practical examples in descriptions
Teaches you why , not just what
Open Logic:
Momentum calculation: (Fast slope + Medium slope) / 2
Smoothing: 8-bar EMA to reduce noise
Thresholds: ±0.02% for strong momentum classification
Everything is transparent and explainable
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COMPLETE FEATURE LIST
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Visual Components:
26-layer exponential gradient cloud
3 customizable moving average lines
Golden Cross / Death Cross labels
Real-time info panel with trend strength
MA distance table
Calculation Features:
6 MA types (EMA, SMA, WMA, VWMA, RMA, HMA)
Momentum-based cloud coloring
Smoothed trend strength scoring
Conditional performance optimization
Customization Options:
All MA lengths adjustable
All colors customizable (when gradient disabled)
Panel position (4 corners)
Font sizes (5 options)
Toggle any feature on/off
Signal Features:
Anti-spam filter (configurable gap)
Clean, non-overlapping labels
Built-in alert conditions
No repainting guarantee
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IMPORTANT DISCLAIMERS
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This indicator is for educational and informational purposes only
Not financial advice - always do your own research
Past performance does not guarantee future results
Use proper risk management - never risk more than you can afford to lose
Test on paper/demo accounts before using with real money
Combine with other analysis methods - no single indicator is perfect
Works best in trending markets; less effective in choppy/sideways conditions
Signals may perform differently in different timeframes and market conditions
The indicator uses historical data for MA calculations - allow sufficient lookback period
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CREDITS & TECHNICAL INFO
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Version: 2.0
Release: October 2025
Special Thanks:
TradingView community for feedback and testing
Pine Script documentation for technical reference
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SUPPORT & UPDATES
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Found a bug? Comment below with:
Ticker symbol
Timeframe
Screenshot if possible
Steps to reproduce
Feature requests? I'm always looking to improve! Share your ideas in the comments.
Questions? Check the tooltips first (hover over any input) - most answers are there. If still stuck, ask in comments.
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Happy Trading!
Remember: The best indicator is the one you understand and use consistently. Take time to learn how the cloud behaves in different market conditions. Practice on paper before going live. Trade smart, manage risk, and may the trends be with you! 🚀
Tradytics Levels with EMA CloudThis indicator has tradytics price chart levels where you can put in the input code seen below.
The code has positive gamma (green lines), negative gamma (Red lines) and white dotted line are the darkpool levels.
This is Amazon's 5 minute from Sep30th to October 20th Gammas and weekly Darkpool levels. Just copy and paste code below in the input code and the chart would show the levels.
212.8*1*neutral 220.07*1*neutral 216.038*1*neutral 215.57*1*neutral 219.988*1*neutral 217.401*1*neutral 217.351*1*neutral 212.815*1*neutral 212.75*1*neutral 212.4*1*neutral 215*0*negative 222.5*0*positive 217.5*0*positive 220*0*positive
Advanced Swing Points Liquidity by BTTAdvanced Swing Points Liquidity Indicator by BTT
Identify key price reversals and liquidity zones with precision using the Advanced Swing Points Liquidity indicator. This tool automatically detects swing highs (Buy Side Liquidity) and swing lows (Sell Side Liquidity) based on customizable pivot logic, and visualizes these levels on your chart for enhanced trading decisions.
Core Features:
Swing Logic Choice: Instantly switch between classic 3-point (tight pivots) and broader 5-point (stronger swings) swing detection.
Visual Clarity: Each swing point is highlighted with your choice of colored labels and extended horizontal lines.
Custom Line Length: Define how far each liquidity line extends, making it easy to spot critical reversal and breakout zones across the chart.
Liquidity Zones: (Optional) Shaded boxes overlay the chart at swing highs/lows, helping you visualize supply and demand areas and optimize entries/exits.
Distinctive Labels: BSL (Buy Side Liquidity) at swing highs, SSL (Sell Side Liquidity) at swing lows, making institutional liquidity levels immediately visible.
How to Use:
Use swing labels and lines to spot potential price reaction zones, stop hunt areas, and trend reversals.
Combine with your price action, order blocks, or other SMC tools for confirmation and trade planning.
Adjust parameters for any market (indices, stocks, crypto, commodities), any timeframe.
Perfect For:
Smart money traders locating liquidity grabs and stop hunts
Supply & demand, market structure, and swing traders
Anyone wanting automated mapping and visual clarity for swing pivots and institutional levels
Customization:
Choose swing detection style (pivot window)
Toggle lines, labels, and liquidity boxes on/off
Set color, box height, and line length for maximum visual control
FintechFull — Next Candle Probability (EB, EWMA, Regime)Purpose
Developed by FintechFull as a quantitative assistant for day traders.
This indicator estimates the probability that the next candle will close green or red, using recent R/G color patterns of depth N = 1..7.
When a trader knows which side has higher probability, it becomes a powerful edge for trading in the direction of the dominant trend.
Methodology
- Strict no-lookahead counting (no repaint, doji removed)
- Hierarchical Empirical Bayes (EB) smoothing across depths (1→7)
- Optional exponential decay (EWMA) for time-adaptive weighting
- Higher-timeframe EMA regime filter (UP-only / DOWN-only / OFF)
- ALL / SELECTED scopes with single-decision voting (one clean signal per bar)
- On-chart tags (“R” = RAW freq, “E” = EB) and full alert system
How it helps day traders
You can see whether the next bar’s probability favors the bullish or bearish side — then trade in alignment with trend and probability, not emotion.
Learn More
📘 The full research article explaining the math, logic, and Pine implementation,
and the Next-Candle Prediction Bot, are both available on the FintechFull Telegram channel.
→ Just search “@FintechFull” on Telegram to read the full paper and try the bot.
Trend Profit Tracking——JackFinanceTrend Profit Tracking Indicator Usage Guide1. Chart Interpretation and UsageSignals: Green "Buy" (below bar) for long entry; red "Sell" (above bar) for short entry or close long. Based on ATR stop reversal.
Trend Line: Green = bullish (support); red = bearish (resistance); gray = neutral.
Background: Light green/red = trend environment.
Filter Band: Green fill confirms bullish; red confirms bearish. Signals more accurate when price is inside the band.
Volume: Yellow bars = unusual volume spike; combine with signals for reversal hints.
Table (top-right): Bullish; Bearish; Neutral.
2. Trading ApplicationEntry: Signal + matching filter band color (green for long, red for short).
Exit: Reverse signal or price hits trend line/band edge.
Stop-Loss: Use built-in trailing stop; ATR multiplier for position sizing.
Best For: Daily/4H trend charts; avoid choppy markets.
Backtest: Verify in strategy tester (~55-65% win rate with defaults).
3. TipsCombine with RSI for filters.
Trading involves risk; decide at your own discretion.
Elite Signals ProV4 OptimizedElite Signals Pro V4 is a sophisticated multi-factor trading indicator that combines price action, momentum, and market structure analysis to generate high-probability trading signals. Unlike traditional indicators that rely on single metrics, Elite Signals uses a weighted confidence scoring system across 7 key market dimensions to provide filtered, quality signals.
🎯 Core Philosophy
The indicator operates on the principle that multiple confirmations lead to higher probability setups. Instead of looking at isolated signals, it evaluates:
Price Action (Wick strength & rejection patterns)
Trend Alignment (Multiple timeframe confirmation)
Market Context (Zones, liquidity, volatility)
Momentum (RSI with slope confirmation)
Entry Rules:
Wait for STRONG confidence signals (>70%) for higher probability
Ensure trend alignment matches signal direction
Check RSI is not extreme unless slope confirms reversal
Verify candle is meaningful rejection pattern
Risk Management:
Stop Loss: Place below recent swing low (BUY) or above swing high (SELL)
Take Profit: 1.5-2x risk ratio, or use trailing stops
Position Size: Scale based on confidence strength
1. Adaptive Confidence Threshold
Automatically adjusts based on market volatility
Stricter in high volatility (fewer but higher quality signals)
More lenient in calm markets (more opportunities)
2. Multi-Timeframe Alignment
15-minute trend alignment ensures you're trading with higher timeframe momentum
Reduces false signals from counter-trend moves
3. Liquidity Sweep Detection
Identifies stop hunts and liquidity grabs
Provides early warning of potential reversals
Graduated confidence (0.5 for touch, 1.0 for full sweep)
4. Zone-Based Trading
Supply/Demand zone detection for key levels
Percentage-based proximity works across all instruments
Combines with rejection candles for high-probability entries
⚠️ Important Notes
Do:
✅ Use on multiple timeframes for confirmation
✅ Combine with price action and market context
✅ Adjust parameters for your trading style
✅ Use proper risk management always
Don't:
❌ Trade every signal - be selective
❌ Ignore higher timeframe context
❌ Over-optimize parameters
❌ Risk more than 1-2% per trade
🚨 Risk Disclaimer
This indicator is a tool for analysis and should not be the sole basis for trading decisions. Always:
Use proper risk management
Test strategies in demo accounts first
Understand that past performance doesn't guarantee future results
Consider multiple confirmation sources before entering trades
Dual ATR with OffsetGives you a cross when ATR moves unusually, perhaps like would happen at the beginning of a trade.
Buying Climax + Spring [Darwinian]Buying Climax + Spring Indicator
Overview
Advanced Wyckoff-based indicator that identifies potential market reversals through **Buying Climax** patterns (exhaustion tops) and **Spring** patterns (accumulation bottoms). Designed for traders seeking high-probability reversal signals with strict uptrend validation.
---
Method
🔴 Buying Climax Detection
Identifies exhaustion patterns at market tops using multi-condition analysis:
**Base Buying Climax (Red Triangle)**
- Volume spike > 1.8x average
- Range expansion > 1.8x average
- New 20-bar high reached
- Close finishes in lower 30% of bar range
- **Strict uptrend validation**: Price must be 30%+ above 20-day low
**Enhanced Buying Climax (Maroon Triangle)**
- All Base BC conditions PLUS:
- Gap up from previous high
- Intraday fade (close < open and below midpoint)
- **Higher confidence reversal signal**
🟢 Wyckoff Spring Detection
Identifies accumulation patterns at support levels:
- Price breaks below recent pivot low (false breakdown)
- Close recovers above pivot level (rejection)
- Occurs at trading range low
- Optional volume confirmation (1.5x+ average)
- Limited to 3 attempts per pivot (prevents over-signaling)
✅ Uptrend Validation Filter
**Four-condition composite filter** prevents false signals in sideways/downtrending markets:
1. Close-to-close rise ≥ 5% over lookback period
2. Price structure: Close > MA(10) > MA(20)
3. Swing low significantly below current price
4. **Primary requirement**: Current high ≥ 30% above 20-day low
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Input Tuning Guide
Buying Climax Settings:
**Volume & Range Thresholds**
- `Volume Spike Threshold`: Default 1.8x
- Lower (1.5x) = More signals, more noise
- Higher (2.0-2.5x) = Fewer but stronger exhaustion signals
- `Range Spike Threshold`: Default 1.8x
- Adjust parallel to volume threshold
- Higher values = extreme volatility required
**Pattern Detection**
- `New High Lookback`: Default 20 bars
- Shorter (10-15) = Recent highs only
- Longer (30-50) = Major breakout detection
- `Close Off High Fraction`: Default 0.3 (30%)
- Lower (0.2) = Stricter rejection requirement
- Higher (0.4-0.5) = Allow weaker intraday fades
- `Gap Threshold`: Default 0.002 (0.2%)
- Increase (0.005-0.01) for stocks with wider spreads
- Decrease (0.001) for tight-spread instruments
- `Confirmation Window`: Default 5 bars
- Shorter (3) = Faster confirmation, more false positives
- Longer (7-10) = Wait for deeper automatic reaction
Uptrend Filter Settings
**Critical for Signal Quality**
- `Minimum Rise from 20-day Low`: Default 0.30 (30%)
- **Most important parameter**
- Lower (0.20-0.25) = More signals in moderate uptrends
- Higher (0.40-0.50) = Only extreme parabolic moves
- `Pole Lookback`: Default 30 bars
- Shorter (20) = Recent momentum focus
- Longer (40-50) = Longer-term trend validation
- `Minimum Rise % for Pole`: Default 0.05 (5%)
- Adjust based on market volatility
- Higher in strong bull markets (7-10%)
Wyckoff Spring Settings
- `Pivot Length`: Default 6 bars
- Shorter (3-4) = More frequent pivots, more signals
- Longer (8-10) = Major support/resistance only
- `Volume Threshold`: Default 1.5x
- Higher (1.8-2.0x) = Stronger conviction required
- Disable volume requirement for low-volume stocks
- `Trading Range Period`: Default 20 bars
- Match to consolidation timeframe being traded
- Shorter (10-15) for intraday patterns
- Longer (30-40) for weekly consolidations
---
Recommended Workflow
1. **Start with defaults** on daily timeframe
2. **Adjust uptrend filter** first (30% rise parameter)
- Too many signals? Increase to 35-40%
- Too few? Decrease to 25%
3. **Fine-tune volume/range multipliers** based on instrument volatility
4. **Enable alerts** for real-time monitoring:
- Base BC → Initial warning
- Enhanced BC → High-priority reversal
- Confirmed BC (AR) → Strong follow-through
- Spring → Accumulation opportunity
---
Alert System
- **Base Buying Climax**: Standard exhaustion pattern detected
- **Enhanced BC (Gap+Fade)**: Higher confidence reversal setup
- **Confirmed BC (AR)**: Automatic reaction validated (price drops below BC midline)
- **Wyckoff Spring**: Accumulation pattern at support
---
Best Practices
- Combine with support/resistance analysis
- Watch for BC clusters (multiple timeframes)
- Spring patterns work best after Buying Climax distribution
- Backtest parameters on your specific instruments
- Higher timeframes (daily/weekly) = higher reliability
---
Technical Notes
- Built with Pine Script v6
- No repainting (signals finalize on bar close)
- Minimal CPU usage (optimized calculations)
- Works on all timeframes and instruments
- Overlay indicator (displays on price chart)
---
*Indicator follows classical Wyckoff methodology with modern volatility filters*
Smart Money Concepts Pro – OB, FVG, Liquidity + Trade SetupsThis script is a complete Smart Money Concepts (SMC) toolkit designed for traders who want clean and actionable charts without clutter.
It combines the most important institutional concepts into one indicator:
Order Blocks (OB): auto-detection of bullish and bearish order blocks with mitigation tracking, merging and TTL (time-to-live).
Fair Value Gaps (FVG): automatic gap recognition with size filters, mitigation tracking and lifetime control.
Liquidity Pools (EQH/EQL): equal highs and equal lows marked with tolerance (ATR-based or fixed).
Break of Structure (BOS): up/down structure shifts plotted directly on the chart.
Multi-Timeframe (HTF): option to use higher timeframe data (e.g. H4, Daily) for stronger zones.
Trend Filter: show zones only in the direction of market structure.
Trade Setups: automatic signals for OB Retest + Trend setups, with entry, stop-loss and take-profit levels (custom R-R).
Flexible Zone Extension: choose between extending zones to the live bar or fixed box width for a cleaner look when scrolling.
Features
Fully customizable (pivot length, ATR filters, box width, TTL, zone colors)
Separate presets for Scalping, Intraday, Swing trading styles
Visual trade planning with entry/SL/TP lines and optional labels
Works across all markets (crypto, forex, indices, stocks)
How to use
Bias: identify overall direction (BOS + HTF zones).
Wait: for price to return to an unmitigated OB or FVG.
Entry: take the setup signal (OB retest + trend filter).
Risk: stop-loss at opposite OB boundary.
Target: TP based on chosen R-R multiple (default 2R).
⚡ Whether you scalp short-term moves or swing trade HTF zones, this indicator gives you a clear institutional edge in spotting supply/demand imbalances and high-probability setups.
Ultimate Risk Management Toolkit [ T W K ] :Smart Levels is Smart Trades!
All Trading View users and Stock market Enthusiast, get charged with the all new ( never seen before ) " Ultimate Risk Management Toolkit ⚙📏⚙ " .
Inputs and Features:
1: Drag the Bar-Time vertical line to the desired Entry candle ( manually ) for R:R management and controlling emotional trading.
2: Target, Entry, and SL line style, Width input.
3: Manual specific level Entry and Stop-Loss, input option.
4: Three types of Auto / Manual ' R:R ' risk reward ratio, targets with proper Entry, Stop-Loss points, and Stop-Loss level.
5: Three types of Entry options to fix Emotional trading habit.
6: Trailing Stop-Loss input option ( can be utilize as profit locking/booking ).
It will give more Power to manage your trades with proper R:R ( Auto / manual ) ratio, defined Entry and controlled Stop-Loss Levels.
Compatible with All Devices (Laptop / Mobile / Tablet / PC).
✅ HOW TO GET ACCESS :
Add to favorite and enjoy the true Trading View's sprit of community growth, without any limitations.
If you like any of my Invite-Only indicators, kindly DM and let me know!
⚠ RISK DISCLAIMER :
All content provided by "@TradeWithKeshhav" is for informational & educational purposes only.
It does not constitute any financial advice or a solicitation to buy or sell any securities of any type. All investments / trading involve risks. Past performance does not guarantee future results / returns.
Regards :
Team @TradeWithKeshhav
Happy trading and investing!
Wolfe Waves [BigBeluga]🔵 OVERVIEW
The Wolfe Waves pattern was first introduced by Bill Wolfe , a trader and analyst in the 1980s–1990s who specialized in market geometry and natural rhythm cycles. Wolfe observed that price often forms symmetrical wave structures that anticipate equilibrium points where supply and demand meet. These formations, called Wolfe Waves , gained popularity as a reliable pattern for forecasting both short- and long-term reversals.
The Wolfe Waves indicator automatically detects these patterns in real time. It tracks sequences of five pivots (points 1 through 5) and connects them with wave lines. Users can select either Bullish or Bearish Wolfe Waves depending on their trading bias. When the pattern fails, the lines automatically turn red to highlight invalidation.
🔵 CONCEPTS
Five-Point Structure – Wolfe Waves are defined by five pivots (1–5), which together form the basis of the wave pattern.
Bullish Pattern – Occurs when price compresses downward into point 5, signaling a potential upside reversal.
Bearish Pattern – Occurs when price extends upward into point 5, forecasting a downside reversal.
Validation & Failure – The pattern is considered valid once all five pivots form; if price fails to respect the expected breakout, the indicator marks the structure as broken with red lines.
🔵 FEATURES
Automatic detection of Bullish and Bearish Wolfe Waves.
Labels each pivot (1–5) on the chart for clarity.
Draws connecting lines between pivots to visualize the wave structure.
Projects target/dashed lines (EPA/ETA) based on Wolfe Wave geometry.
Lines automatically turn red when the pattern is broken, giving immediate feedback.
Customizable color scheme for bullish (lime) and bearish (orange) waves.
Adjustable sensitivity for pivot detection.
🔵 HOW TO USE
Choose between Bullish or Bearish mode depending on your analysis.
Watch for the formation of all five pivots; the indicator labels them clearly.
Look for potential entries near point 5, with the expectation that price will travel toward the projected EPA line.
Use invalidation (lines turning red) as a risk management warning to exit failed setups.
Combine with momentum, volume, or higher-timeframe analysis to increase reliability.
🔵 CONCLUSION
The Wolfe Waves brings the classic Wolfe Wave theory into an automated TradingView tool. Inspired by Bill Wolfe’s original concept of natural market cycles, this indicator detects, labels, and validates Wolfe Waves in real time. With automatic invalidation marking and customizable settings, it offers traders a structured way to harness one of the most well-known geometric reversal patterns.
