RegimeLens [JOAT]RegimeLens — Market Regime Detection and Classification
RegimeLens identifies whether the market is in a Trending, Ranging, or Volatile state using a proprietary combination of trend strength analysis, volatility measurement, and percentile-based classification. Understanding the current market regime helps traders adapt their approach to current conditions—because the strategy that works in a trend will fail in a range.
Why This Script is Protected
This script is published as closed-source to protect the proprietary regime classification algorithm and the specific threshold calibration methodology from unauthorized republishing. The unique combination of ADX analysis, Bollinger Band width percentiles, ATR percentile ranking, and the transition zone logic represents original work that goes beyond standard regime detection approaches.
What Makes This Indicator Unique
Unlike simple trend indicators, RegimeLens:
Classifies markets into four distinct regimes, not just "trending" or "not trending"
Uses percentile-based volatility analysis for more adaptive classification
Includes a transition zone logic to prevent rapid regime flip-flopping
Tracks regime duration and strength for additional context
Provides visual regime changes with on-chart labels
What This Indicator Does
Classifies market into four regimes: Trend Up, Trend Down, Ranging, or Volatile
Displays Bollinger Bands colored according to current regime
Marks regime changes with on-chart labels
Colors price bars according to detected regime
Tracks regime duration and strength metrics
Provides comprehensive dashboard with all regime metrics
Core Methodology
The indicator analyzes multiple market dimensions to determine the current regime:
Trend Strength Analysis (ADX) — Measures directional movement strength regardless of direction. High ADX indicates trending; low ADX indicates ranging.
Directional Bias (DI+ vs DI-) — Determines whether bullish or bearish forces dominate when a trend is detected.
Volatility Expansion/Contraction (BB Width) — Tracks Bollinger Band width relative to historical norms using percentile ranking.
ATR Percentile Ranking — Compares current ATR to its historical distribution to identify abnormally high volatility conditions.
Regime Definitions
Trend Up (Green) — ADX above trending threshold with DI+ > DI- and price above basis. Strong directional movement with bullish bias confirmed.
Trend Down (Red) — ADX above trending threshold with DI- > DI+ and price below basis. Strong directional movement with bearish bias confirmed.
Ranging (Yellow) — ADX below ranging threshold indicating sideways consolidation. Low directional strength suggests mean-reversion strategies may work better.
Volatile (Purple) — Both ATR percentile AND BB width percentile above the high volatility threshold. Indicates unstable, potentially dangerous conditions where normal strategies may fail.
The classification uses a priority system where high volatility conditions take precedence, followed by trend strength evaluation, with ranging as the default state for low-activity periods.
Regime Strength Calculation
Each regime has an associated strength score (0-100%) that indicates how firmly the market is in that state:
For trends: Based on ADX relative to threshold plus BB percentile
For ranging: Based on inverse ADX plus inverse BB percentile
For volatile: Based on ATR percentile
This helps identify when regime transitions may be approaching—declining strength often precedes regime changes.
Visual Features
Regime-Colored Bollinger Bands — Upper, basis, and lower bands all colored by current regime
Band Fill — 85% transparent fill between bands in regime color
Background Highlighting — Optional 90% transparent background in regime color
Regime Change Labels — On-chart markers when regime changes (arrows for trends, diamond for range, X for volatile)
Bar Coloring — Optional price bar coloring by regime
Color Scheme
Trend Up Color — Default: #00C853 (bright green)
Trend Down Color — Default: #FF1744 (bright red)
Range Color — Default: #FFD600 (yellow)
Volatile Color — Default: #AA00FF (purple)
Dashboard Information
The on-chart table (top-right corner) displays:
Current regime name with color coding
ADX value (highlighted if above trend threshold)
DI+ / DI- comparison with directional coloring
Bollinger Band width percentage
Volatility percentile (highlighted if above volatile threshold)
Regime strength percentage
Duration in bars since last regime change
Inputs Overview
Detection Settings:
ADX Length — Period for ADX/DI calculation (default: 14, range: 5-50)
BB Length — Period for Bollinger Bands (default: 20, range: 10-100)
BB Multiplier — Standard deviation multiplier (default: 2.0, range: 1.0-4.0)
ATR Length — Period for ATR calculation (default: 14, range: 5-50)
Thresholds:
Trending ADX Threshold — ADX level above which market is considered trending (default: 25, range: 15-50)
Ranging ADX Threshold — ADX level below which market is considered ranging (default: 20, range: 10-40)
High Volatility Percentile — Percentile above which volatile regime is triggered (default: 75, range: 50-95)
Visual Settings:
Trend Up/Down/Range/Volatile Colors — Fully customizable color scheme
Show Background — Toggle regime-colored background
Show Regime Bands — Toggle Bollinger Bands display
Show Dashboard — Toggle the information table
Color Price Bars — Toggle bar coloring by regime
How to Use It
Strategy Selection:
Trend Up/Down — Use trend-following strategies (breakouts, pullbacks, moving average systems)
Ranging — Use mean-reversion strategies (support/resistance bounces, oscillator extremes)
Volatile — Reduce position size, widen stops, or stay flat until conditions stabilize
For Regime Change Trading:
Watch for regime change labels as potential entry points
Trend regime starting often signals breakout opportunity
Ranging regime starting after trend may signal consolidation before continuation
Volatile regime is a warning to be cautious
For Risk Management:
Increase position size during strong trend regimes
Decrease position size during volatile or ranging regimes
Use regime strength to gauge conviction
Monitor duration—very long regimes may be due for change
Alerts Available
MRD Trend Up — Market regime changed to trending bullish
MRD Trend Down — Market regime changed to trending bearish
MRD Ranging — Market regime changed to sideways consolidation
MRD Volatile — Market regime changed to high volatility state
MRD Any Change — Notification on any regime transition
Best Practices
Don't fight the regime—adapt your strategy to current conditions
Volatile regime is a warning sign, not a trading signal
Use regime strength to gauge how established the current state is
Combine with other indicators appropriate for the detected regime
This indicator is provided for educational purposes. It does not constitute financial advice. Past performance does not guarantee future results. Always conduct your own analysis and use proper risk management before making trading decisions.
— Made with passion by officialjackofalltrades
Multitimeframe
Quantum EdgeQuantum Edge
DESCRIPTION:
Time-based cycle alignment scanner using fractal cycle theory to detect when multiple timing cycles converge at mathematically significant zones.
█ OVERVIEW
Quantum Edge is a time-based cycle alignment scanner built on fractal cycle theory. Markets move in nested cycles across multiple timeframes. This indicator detects moments when several of these cycles simultaneously reach mathematically significant positions, creating potential turning points.
The core concept: when multiple independent timing cycles converge at key zones, the probability of a reaction increases. The more cycles aligned, the higher the probability score.
█ HOW IT WORKS
The indicator tracks multiple time-based cycles of varying lengths. Each cycle is analyzed for its current position within its phase. When a cycle reaches a statistically significant zone (based on cycle theory), it contributes points to a composite probability score.
Shorter cycles contribute fewer points (they align frequently).
Longer cycles contribute more points (they align rarely).
Additional weighting is applied for:
- Specific days of the week known for higher volatility
- Specific times of day associated with market structure shifts
The final score represents how many timing factors are currently aligned.
█ SIGNALS EXPLAINED
👑 Rare multi-cycle convergence — Several long-duration cycles aligned simultaneously. Occurs a few times per month.
💎 Strong convergence — Multiple mid-to-long duration cycles aligned. Occurs a few times per week.
🌅 Daily cycle alignment — Daily-length cycle at a key zone with supporting factors. Occurs 1-2 times per day.
🔥 Short cycle alignment — Shorter-duration cycles aligned. Occurs several times per day.
🔮 Prediction — The indicator scans ahead and displays where future alignments are likely to occur based on the deterministic nature of time cycles.
█ TRADING MODES
The indicator includes preset modes that adjust sensitivity:
SNIPER — Only displays the highest-scoring alignments. For patient traders waiting for the best setups.
DAILY — Displays daily-quality alignments and above. Recommended starting point for most traders.
ACTIVE — Displays more frequent setups. For traders who want more opportunities and can filter with price analysis.
SCALP — Displays all qualifying alignments. Highest frequency, requires additional confirmation.
█ WHAT MAKES THIS UNIQUE
This indicator uses a proprietary weighted scoring system based on fractal cycle mathematics. The specific cycle lengths, zone calculations, and weighting factors are the result of extensive research into cyclical market behavior.
The predictive feature is deterministic — because time cycles are mathematical, future alignments can be calculated in advance. This allows traders to plan entries before setups occur rather than reacting after the fact.
The source is protected because the specific parameters and scoring logic represent significant research and development.
█ INTENDED USE
This is a TIMING tool, not a directional signal generator.
It answers: "When are multiple cycles aligned?"
It does NOT answer: "Which direction should I trade?"
Combine with your own price analysis (support/resistance, order flow, market structure) to determine direction. Use this tool to identify WHEN those setups have higher probability.
█ LIMITATIONS
- No indicator predicts the future with certainty
- Cycle alignments indicate probability, not guaranteed outcomes
- Past alignment results do not guarantee future performance
- This tool requires combination with price-based analysis for best results
- Not all alignments result in tradeable moves
█ SETTINGS
- Mode Selection: Choose your preferred sensitivity level
- Show Score: Toggle probability scores on/off
- Show Predictions: Toggle future alignment predictions on/off
- Prediction Range: How far ahead to scan for alignments
- Colors: Customize signal colors to your preference
█ MARKETS AND TIMEFRAMES
Works on any liquid market: Futures, Forex, Crypto, Stocks, Indices.
Optimized for intraday timeframes (1-15 minute charts) but can be applied to higher timeframes for swing trading applications.
█ ACCESS
This is an invite-only script. If you have questions about the methodology or would like to discuss access, you may send me a direct message.
HYBRID MARKET SCORE SUITE - Context Engine🔬 HYBRID MARKET SCORE SUITE - Context Engine — Algorithmic Imbalance Scoring & Compact 37-Indicator Dashboard
Monitoring regular divergences, OB/OS zones, statistical deviations, and 37 metrics simultaneously is impractical to do manually. HMSS - Context Engine updates them every tick in one compact dashboard, with an optional scoring layer.
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🎯 WHAT IS THIS
HMSS - Context Engine
Performs **Real-Time Monitoring** of 37 technical metrics across 4 fixed timeframes ( 1H / 4H / 1D / 1W ) simultaneously, plus 3 cumulative tools that operate independently of timeframe selection.
It processes market data on a **tick-by-tick** basis without lookahead, designed to detect developing structural imbalances and major trend exhaustion points as they unfold.
Since the indicator analyzes fixed multi-timeframe streams, it is chart TF-independent : switching your main chart timeframe does not affect the internal logic or scoring.
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🔧 "SWISS ARMY KNIFE" — Structural Context Tool
A compact table with extensive data for understanding where you are in the bigger picture:
34 MTF indicators across 4 timeframes (1H / 4H / 1D / 1W):
Divergences (13): RSI DIV, MFI DIV, CCI DIV, CMF DIV, MACD DIV, OBV DIV, Delta DIV, CVD DIV, DRSI DIV, ADX DIV, Elder DIV, Hull MA DIV, Stoch DIV
OB/OS (5): RSI OB/OS, MFI OB/OS, CCI OB/OS, Stoch OB/OS, DRSI OB/OS
Z-Score (9): RSI Z-Score, MFI Z-Score, CCI Z-Score, Stoch Z-Score, DRSI Z-Score, Delta Z-Score, CVD Z-Score, MACD Z-Score, OBV Z-Score
Other (7): CMF Zone, ADX Exhaustion, Elder Force, Williams VixFix (WVF), Volume Climax, ZMO EXT, NW ENV
3 Cumulative Tools (TF-independent): Basis, Williams A/D, PIV DIST (Pivot Distance)
A few "Special" metrics may be less familiar than classic oscillators, so here are quick notes on what they flag (not "better" indicators — just more niche tools):
NW ENV (Nadaraya–Watson Envelope): A kernel-smoothed price envelope (period 8) with deviation multipliers 2.25 (inner) and 7.75 (extreme). Labels reflect band breaches: !! = price outside the inner band (strong extension), !!! = outside the upper extreme band (rare upside extension), !!!! = outside the lower extreme band (rare downside extension). These are context tags for extension/mean-reversion risk, not trade commands.
Volume Climax: A Z-Score of volume over 20 periods. Flags unusually high volume above about 1.9σ . In practice, it helps highlight “crowd intensity” moments: heavy volume on a down candle can resemble panic-like supply; heavy volume on an up candle can resemble aggressive chasing. Treat it as context, not a directional guarantee.
ZMO EXT: normalized via Z-Score over a 100 -bar history. It highlights statistically stretched momentum when it deviates beyond roughly 2.0σ from its mean — a way to spot overheated acceleration.
Basis: Z-Score of the spread between perpetual futures and spot (Binance Futures Premium Index). High positive Z-Score = buyer overheating, deep negative = panic / liquidity deficit.
Williams A/D: Cumulative Williams Accumulation/Distribution indicator — tracks structural accumulation and distribution patterns.
PIV DIST (Pivot Distance): Percentage distance to the nearest significant Pivot level (weekly or monthly). Includes current, previous, and prior periods. Default is Camarilla (pivot type selectable in settings). Calculates extreme S6/R6 levels via progression. Cell highlights in counter-trend color when distance ≤0.5%. Extreme levels (5, 6) are colored unconditionally; Major levels (3, 4) — only when confirmed by score (|Score| > 1600). Does NOT participate in scoring — visual tool only.
All of this — across multiple timeframes simultaneously, in one compact table, without cluttering your chart with a dozen oscillators below. Works on any chart TF — your timeframe selection does not affect calculations.
Each block can be toggled in settings:
Divergence Block — forming regular divergences across oscillators/flows
OB/OS Block — overbought/oversold zones (RSI/MFI/CCI/Stoch etc.)
Z-Score Block — statistical deviations in sigmas (σ)
Special Indicators Block — special indicators and regime filters
Cumulative Block — Basis, Williams A/D, Pivot Distances
Scoring Block — Hybrid Engine (Score, Pattern, Breakdown, Attention, Trade Type, Veto)
Candle Coloring — optional highlighting of closed candles based on score level (threshold adjustable, off by default)
Use it as a dashboard for structural market assessment — a macro lens for trend context and positioning.
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🧠 SCORING SYSTEM — For Structural Imbalances
An innovative data-driven engine that activates during moments of structural imbalance :
• Calibrated using 380,000+ historical market data records
• Compares current indicator combinations with historical patterns
• Assigns a Score when significant combinations are detected
Think of the scoring system as a Seismograph — it monitors deep market structure, not surface noise. Elevated readings indicate tectonic pressure building up. When it reaches extreme levels, it signals accumulated stress that historically precedes structural shifts — like seismic tension that eventually releases.
It is designed to assist in identifying the broader trend context and potential structural pivot points, if that aligns with your approach.
The system is calibrated on a multi-month historical dataset of 380,000+ records collected minute-by-minute from cryptocurrency markets (BTC, ETH, SOL). During this period, the market showed both multi-month lows and several ATH (All-Time High) events. Statistical dependencies and indicator combination patterns were identified from this data.
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🧠 SCORING ENGINE ARCHITECTURE
Concept & Logic:
This system utilizes a hybrid approach, combining classical technical analysis with statistical profiling. Instead of simply summing up indicator signals, the algorithm compares the current market state against a proprietary database of historical patterns ("Profiles") collected for specific assets.
The calculation logic is layered:
1. Base Layer (Indicator Analysis):
The system monitors 34+ metrics (RSI, MFI, Z-Scores, CVD, OBV, ADX, VixFix, etc.).
Standard Deviation (25 pts, Dim Cell): Occurs when an indicator exceeds a standard volatility threshold (e.g., Z-Score > 1.5). This registers as a common local anomaly.
Profile Alignment (50 pts, Bright Cell): Occurs when a value hits specific historical thresholds recorded in the Asset Profile. These are values where structural shifts occurred in the past data samples.
2. The Core Pattern Recognition (compressed historical scenarios):
The system scans for ~14 compressed market scenarios (Patterns). A pattern becomes active only when its specific "Kernel" of indicators fires simultaneously with a Coverage Ratio > 70%.
3. Confluence & Weighting:
The final score reflects the density of these matches. It identifies the "Winning Side" (Long vs. Short bias) based on the accumulated weight of base and profile scores.
Score Breakdown (The "X-Ray" Row):
The dashboard displays a breakdown row ( L:… S:… C:… A:… K:… ) to visualize the components of the Total Score:
L / S (Baseline): Cumulative weight of active indicators for Long or Short bias.
C (Core Multiplier): A dynamic coefficient applied when the match with a historical pattern "Kernel" is high.
A (AddSig): Points for secondary confirming factors that reinforce the active pattern.
K (Key Features): Internal code for High-Impact Anomalies . These are rare statistical outliers (e.g., extreme Z-Scores > 3.0) that carry significant weight due to their historical correlation with structural expansion.
System States (Dashboard Output):
The text labels on the UI represent the statistical context of the market, not direct trade commands:
NEUTRAL: Balanced market, no dominant patterns.
SIGNAL FORMING: Early detection of potential accumulation or distribution structures.
TREND — WAIT: Market is in a directional phase; algorithm is monitoring for exhaustion or pivot points.
ON WATCH: High statistical confluence detected.
MAYBE LONG/SHORT: Directional statistical bias is present.
MAX SCORE: Indicates an "Extreme Score" condition. Historically, such values appear during significant structural extensions (Global Lows/Highs) where pattern coverage can approach 100% alongside statistical anomalies.
BREAKOUT: Context suggests structural continuation or level breach.
Disclaimer: This tool provides a statistical context assessment based on historical pattern matching. "Global Lows/Highs" / "New Low/High" are dataset-derived pattern names, not a directional claim. "Max Score" and "Key Features" describe rarity levels, not guaranteed outcomes. Past market behavior is not indicative of future performance.
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🛡️ DRSI VETO — SAFETY MECHANISM
Sometimes "the setup exists by score", but the market is structurally overextended — which can make positioning riskier. This is where DRSI Veto comes in:
If the system indicates LONG , but DRSI Z-Score shows extreme overbought conditions (or vice versa for SHORT), the VETO activates, significantly reducing the final Score.
This helps filter out overextended "exhaustion" setups — technically valid by score, but stretched enough to increase mean-reversion risk without proper context. A clear VETO label appears in the table.
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🎯 USE CASES — WHEN IT WORKS BEST
Dual Purpose: Efficiency & Detection
While the Scoring Engine identifies structural imbalances, the dashboard serves as your primary context workstation . It replaces the need for multiple oscillator panes, keeping your charts clean while providing a "Heads-Up Display" for Oscillators, Money Flow, and Statistical Anomalies across four timeframes at once.
Understanding "Where You Are":
The Context Engine is designed for positional awareness — understanding the broader trend structure before making decisions. It answers the question: "What is the macro context right now?"
Elevated Score (Not MAX):
An elevated score in the Context Engine often indicates that a strong trend is developing . This is valuable information for avoiding counter-trend positioning during powerful directional moves.
MAX Score — Rare Structural Events:
The scoring system fires less frequently than its companion (HMSS - Impulse Monitor), but when it does reach MAX Score levels, it indicates extreme structural tension — the kind that historically precedes major pivots. These are rare events measured in hours or days, not minutes.
When NOT to expect detections:
Markets can and often WILL pivot without the indicator firing. This tool is designed for major structural transitions . Smaller corrections and intraday reversals may occur without elevated readings — that's what HMSS - Impulse Monitor is for.
This is intentional: higher-score conditions are designed to be relatively rare, not a daily occurrence. If your approach values selectivity, it may help to treat elevated readings as “patient-wait” moments — markets often reward waiting for cleaner, high-confluence regimes rather than forcing a setup every session.
Think of the scoring system as a tectonic pressure gauge — most of the time it shows normal readings, but when stress accumulates to extreme levels, it provides valuable context for understanding structural risk. It's your seismograph: particularly useful when markets approach rare structural thresholds.
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💡 FORMING DIVERGENCES — Real-Time Monitoring
Important note for experienced traders:
The indicator shows divergences that are CURRENTLY FORMING , not confirmed ones. This is Real-Time Monitoring mode — scoring updates every tick , allowing you to see the situation as it develops.
⚠️ No lookahead / no future leak: This script strictly uses lookahead=barmerge.lookahead_off (no future data is used in calculations).
On historical data, scores are displayed based on closed candles. For better historical detail, use lower timeframe candles.
If a "forming" pattern disappears — this is a normal part of real-time monitoring: the market changes, and the assessment/confluence recalculates accordingly.
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📈 DIVERGENCE PERCENTAGES — WHAT THEY MEAN
Percentages next to divergences show "Divergence Intensity" — how strongly price and oscillator have diverged between points.
Note: The presence of a divergence itself is factored into the scoring system. However, the percentage values (intensity) are currently NOT included in Score calculation. We may add them in the future if we accumulate sufficient data confirming their statistical significance. For now, percentages serve as a visual hint for your own analysis — an additional confirmation filter.
Note: The indicator also draws forming divergence lines directly on the price chart — for 6 key oscillators (RSI, MACD, MFI, CCI, DRSI, CVD).
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🔧 SCORING SYSTEM COMPATIBILITY
Statistical data profiles are available for: BTC, ETH, and SOL
• Default mode is AUTO : BTC/ETH/SOL detected automatically; all other assets use 'ALTS' (ETH-based) profile
• Manual Override: You can select a specific profile in settings if Bar Replay testing shows it tracks your asset's volatility better
• Indicator readings as tools work on ANY assets and markets
• For non-crypto instruments (Forex, Stocks): if alerts trigger too often or too rarely, adjust MAX SCORE Thresholds in settings
Note: Alert threshold settings (Base, Total, MAX SCORE) also affect "Attention Level" and "Trade Type" display in the UI.
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🔔 ALERT SYSTEM (4-STEP)
The alert system is tiered (each step can be toggled on/off):
Step 1: Base Score — Triggers when mathematical confluence reaches base threshold
Step 2: Core Pattern — Triggers when algorithmic pattern is detected (Breakout/Formation)
Step 3: Total Score — Triggers when total Score reaches threshold
Step 4: MAX SCORE Alert — Final high-score alert (individual thresholds for BTC/ETH/SOL/ALT)
Important: Alert thresholds simultaneously calibrate Attention and Trade Type in the UI.
For automation (bots / webhook-based tools): use Webhook URL. Keep in mind that maximum score is often reached at the wick tip, not at candle close — backtesting on longer TFs may show delayed data.
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🧩 HMSS ECOSYSTEM: HMSS - Context Engine vs. HMSS - Impulse Monitor
This script (HMSS - Context Engine) is one half of a specialized two-module system. It is designed to work either as a standalone tool or alongside its companion, HMSS - Impulse Monitor.
Why separate scripts? To maximize responsiveness and detail without hitting Pine Script resource limits (memory/execution time), the ecosystem is split into two specialized engines. Merging them would compromise real-time performance.
Note: HMSS - Impulse Monitor is not a different preset of the same script — it is a separate engine with its own indicator set, pattern library, and calibration profiles designed for a different purpose and a different analytical scope.
Key Differences & Synergy:
Distinct Purpose (Macro vs. Micro): HMSS - Context Engine (This Script): Designed for "Market Context." It analyzes 1H/4H/1D/1W structures to identify global trends and major structural pivots. HMSS - Impulse Monitor (Companion): Designed for "Market Reaction." It monitors 5m/15m/30m specifically to detect local exhaustion, liquidation wicks, and immediate imbalances.
Distinct Indicator Sets: Each engine includes components better suited for its timeframe domain. HMSS - Context Engine features structure-oriented indicators: ADX Exhaustion, OBV Divergence & Z-Score, Delta Histograms, VixFix (WVF), Basis, Williams A/D, and Pivot Distances. HMSS - Impulse Monitor incorporates VWAP Deviation and ATR Spikes — metrics more relevant for intraday dynamics.
Distinct Calibration Profiles: While both engines are developed using historical market observations, their pattern libraries and threshold values are calibrated independently for their respective metric sets and use-cases. The same market event may register as "Extreme" on HMSS - Context Engine while appearing "Neutral" on HMSS - Impulse Monitor if local momentum remains stable — and vice versa.
💡 Synergy Scenarios (How to use them together): Experienced traders often combine both modules to refine market context and decision-making:
• Trend Pullback: If HMSS - Context Engine indicates a strong Trend, but HMSS - Impulse Monitor shows "Extreme Overbought/Oversold" (correction against trend) — this often highlights a short-term counter-trend move within a larger structural trend.
• Major Reversal Risk: If BOTH HMSS - Context Engine and HMSS - Impulse Monitor indicate "Max Score" / "Extreme Imbalance" simultaneously — this is a rare statistical event (confluence of macro and micro exhaustion) that historically correlates with significant structural reversals.
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⚙️ TECHNICAL NOTES
🕰️ Real-Time Monitor (No Past Labels):
Crucial Concept: This tool is a Real-Time Monitor , not a "signal painter." It shows the market state HERE AND NOW — it does NOT draw historical Buy/Sell arrows or preserve past dashboard states. The only elements drawn on the chart are currently forming divergence lines.
Calculation Heavy:
We utilize maximum Pine Script limits for calculations. Initial loading may take up to 12-15 seconds — this reflects the precision and volume of processed data. After loading, the indicator operates without noticeable delays, processing data every tick .
Chart TF Independence:
The indicator analyzes fixed MTF streams, so your chart timeframe selection does not affect results. For reduced load and faster response, 5-60 minute charts are preferred.
Recommended Chart Timeframe:
For speed and lower load: 5–60 minutes (optimal)
For detailed history, you can go down to lower timeframes, but this is a performance/memory tradeoff
Bar Replay — How to See Past Performance:
To understand how the Scoring Engine reacted to specific market moves (e.g., a past crash or pump), use Bar Replay Mode :
1s to 30s: Best accuracy (precise tick-emulation)
1 min: Acceptable (if your plan lacks seconds-based intervals)
Higher TFs: Works, but for best detail — especially to see MAX Score events — lower TFs are recommended
To manage the extensive database of pattern weights and profiles while maintaining high performance, this engine utilizes a custom optimized data structure. This ensures the script operates smoothly within Pine Script's resource limits without compromising the depth of historical analysis.
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🔬 TECHNICAL APPROACH (for the curious)
The indicator uses a proprietary compact data encoding system that allows transmitting information about divergences, their type, length, and intensity in a single numeric value. This enables efficient aggregation of data from multiple timeframes without exceeding Pine Script limits.
The scoring system is built on the Statistical Pattern Matching principle: current indicator combinations are compared against a library of statistically significant patterns, each with its own weight and type (Formation/Breakout).
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🚀 QUICK START
Add HYBRID MARKET SCORE SUITE - Context Engine to your chart.
Position table (recommended: bottom-right ) and adjust Offset / Spacer so it doesn't overlap price action.
In settings, toggle blocks by groups: Divergences / OB-OS / Z-Score / Special / Cumulative / Scoring — to match your trading style and load preferences.
For comfortable operation, use chart TF 5–60m .
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🔄 DEVELOPMENT
The indicator receives periodic updates, including statistical pattern refinements as new market data is accumulated, to maintain relevance with current market conditions. Update schedule is not guaranteed.
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🛡️ DISCLAIMER
This script is provided for informational and educational purposes only and does NOT constitute financial advice, investment advice, or a recommendation to buy/sell any asset.
All examples, descriptions, and statistics are based on historical observations. Market conditions can change, patterns can fail, and signals/labels may disappear or update in real time. No results are guaranteed.
Use this tool as one input among many. Always apply your own judgment, risk management, and independent verification (DYOR). Trading — especially with leverage — involves substantial risk, including the risk of total loss. You are solely responsible for your decisions and outcomes.
ChoCh Pattern with Trading Levels + Candlestick PatternsBuilt for smart money traders and market structure enthusiasts, the ChoCh Pattern indicator identifies powerful Change of Character reversals with precision. Features intelligent swing point detection, automated risk-reward level plotting, and comprehensive performance tracking to optimize your trading edge in any market condition.
Smart Money Structure Detection - Identifies bullish and bearish Change of Character patterns based market structure analysis and Candlestick patterns Detection,Eliot Waves with T levels
Automated Entry & Exit Levels - Generates entry points with 4 customizable take-profit targets (TP1-TP4) and stop-loss placement based
Real-Time Performance Dashboard - Tracks hit rates for all TP levels, stop-loss statistics, and cumulative P&L across all signals
Visual Trade Management - Clear buy/sell arrows, color-coded level lines, and dynamic price labels for effortless trade execution
Traders seeking systematic risk management with multiple profit targets
MATRIX AI Trading SystemMATRIX AI Trading System - Complete Trading Guidelines
Core Trading Strategy
Primary Entry Signals (Must Have)
BUY/SELL Arrow Signals - Your main entry trigger
Wait for the green "BUY" arrow (upward triangle) below the candle
Wait for the red "SELL" arrow (downward triangle) above the candle
These are generated by the MATRIX indicator when momentum shifts
AI Score Confirmation
Check the dashboard on the right side
LONG SCORE should be 55+ (preferably 70+) for buy entries
SHORT SCORE should be 55+ (preferably 70+) for sell entries
Green = Strong signal, Yellow/Orange = Moderate, Red = Weak
3-4 Key Confirmations (Use At Least 3)
Confirmation 1: Bollinger Bands (BB) Smooth Area
Best Entry Zones:
For BUY: Price touches or bounces from the lower BB band (blue line at bottom)
For SELL: Price touches or bounces from the upper BB band (blue line at top)
BB Status on Dashboard: Look for "Squeeze" followed by "Expansion" - this indicates volatility breakout
Avoid trading when: Price is in the middle of BB bands with "Normal" status
What to Look For:
Price rejection wicks at BB bands
Candle closes back inside the bands after touching outer band
BB width increasing (expansion phase)
Confirmation 2: RSI Divergence
Check Dashboard Row 9 (RSI):
Bullish Divergence: Look for "Bull Div" label on chart (green label near lows)
Price makes lower low, but RSI makes higher low
Strong reversal signal for BUY trades
Bearish Divergence: Look for "Bear Div" label on chart (red label near highs)
Price makes higher high, but RSI makes lower high
Strong reversal signal for SELL trades
Dashboard Signals:
RSI value shows in green when bullish (<30 zone)
RSI value shows in red when bearish (>70 zone)
"Bull Div" or "Bear Div" text appears in rightmost column
Confirmation 3: Fibonacci Golden Pocket
The Sweet Spot (0.618 - 0.786 retracement):
Yellow shaded zone between two orange lines
Dashboard Row 15 shows: "Inside" or "Outside"
Trading Rules:
BUY Setup: Price pulls back INTO golden pocket, then BUY arrow appears
SELL Setup: Price rallies INTO golden pocket from below, then SELL arrow appears
Best Entries: When price is "Inside" golden pocket + BUY/SELL arrow appears
Trend Continuation: Golden pocket acts as support in uptrends, resistance in downtrends
Confirmation 4: Support & Resistance
Check Dashboard Rows 16-17:
Support Level: Green horizontal line below price
Resistance Level: Red horizontal line above price
Dashboard shows "Near" or "Away"
Trading Rules:
BUY Priority: When dashboard shows "Near" support + BUY arrow
SELL Priority: When dashboard shows "Near" resistance + SELL arrow
Strongest Signals: Multiple touches of S/R level + rejection candles
Wait for confirmation: Don't trade until price clearly respects the level
Additional Power Confirmations
Confirmation 5: Fair Value Gap (FVG)
Visual Identification:
Green semi-transparent boxes = Bullish FVG (price gap up)
Red semi-transparent boxes = Bearish FVG (price gap down)
Small dotted line in the middle of each FVG zone
"FVG" label marks each gap
Trading Strategy:
BUY Setup: Price returns to fill bullish FVG (green box) + BUY arrow
SELL Setup: Price returns to fill bearish FVG (red box) + SELL arrow
Dashboard Row 14: Shows "FVG Up" or "FVG Dn"
FVG zones act as magnets - price often returns to fill them
Confirmation 6: CHoCH (Change of Character)
Structure Break Signals:
Green "CHoCH" label below candle = Bullish structure change
Red "CHoCH" label above candle = Bearish structure change
What It Means:
Market structure has shifted direction
Previous trend is weakening
Potential reversal or new trend beginning
Trading Application:
CHoCH + BUY arrow = Strong bullish reversal setup
CHoCH + SELL arrow = Strong bearish reversal setup
Look for CHoCH near support/resistance for highest probability
Complete Trade Setup Examples
PERFECT BUY SETUP (Use 3-4 Confirmations)
✅ BUY Arrow appears below candle (primary signal)
✅ LONG SCORE 70+ on dashboard (AI confirmation)
✅ Price at lower BB band or bouncing from it (BB confirmation)
✅ "Bull Div" label appears or RSI bullish (divergence confirmation)
✅ "Inside" golden pocket or near 0.618 Fib (Fibonacci confirmation)
✅ "Near" support on dashboard (S/R confirmation)
✅ Bullish FVG zone below or CHoCH green label (SMC confirmation)
Minimum Required: BUY Arrow + 3 of the above confirmations
PERFECT SELL SETUP (Use 3-4 Confirmations)
✅ SELL Arrow appears above candle (primary signal)
✅ SHORT SCORE 70+ on dashboard (AI confirmation)
✅ Price at upper BB band or rejecting from it (BB confirmation)
✅ "Bear Div" label appears or RSI bearish (divergence confirmation)
✅ "Inside" golden pocket or near 0.786 Fib (Fibonacci confirmation)
✅ "Near" resistance on dashboard (S/R confirmation)
✅ Bearish FVG zone above or CHoCH red label (SMC confirmation)
Minimum Required: SELL Arrow + 3 of the above confirmations
Trade Management
Entry Rules:
Wait for confirmation: Arrow + AI Score + minimum 3 confirmations
Best entries: 4+ confirmations aligned = highest probability
Avoid: Trading with only 1-2 confirmations (low probability)
Stop Loss (Automatic on Chart):
Red horizontal line shows your SL level
Based on recent swing high/low (20 periods)
Dashboard shows risk in pips
Take Profit Levels (Automatic on Chart):
TP1 (1:1 R:R): Green dashed line - First profit target
TP2 (2:1 R:R): Green dashed line - Second profit target
TP3 (4:1 R:R): Green solid line - Final profit target
Labels show exact prices, pips, and percentage gains
Position Sizing Strategy:
Close 50% at TP1 (secure profits)
Close 30% at TP2 (let winners run)
Close 20% at TP3 or trail stop (maximum gains)
Dashboard Quick Reference
Top Priority Rows to Check:
Row 1: LONG SCORE (need 55+, prefer 70+)
Row 2: SHORT SCORE (need 55+, prefer 70+)
Row 3-6: TP Hit Rate statistics
Row 8: Trend direction
Row 9: RSI + Divergence status
Row 12: BB status (Squeeze/Expansion/Normal)
Row 14: SMC status (OB/FVG indicators)
Row 15: Fib golden pocket (Inside/Outside)
Row 16-17: S/R proximity (Near/Away)
Row 20: Active trade status
Trading Psychology & Rules
High Probability Setups (Take These):
BUY/SELL arrow + AI Score 70+ + 4 confirmations = STRONG ENTRY
Multiple confluences at same price level = HIGH PROBABILITY
Trend direction + all indicators aligned = BEST TRADES
Low Probability Setups (Skip These):
Arrow appears but AI Score below 45 = WEAK SIGNAL
Only 1-2 confirmations = LOW PROBABILITY
Conflicting signals (bullish and bearish indicators mixed) = STAY OUT
"Sideways" trend + mixed signals = NO TRADE
Golden Rules:
Never trade without the BUY/SELL arrow
Always check AI Score first (must be 55+)
Wait for minimum 3 confirmations
Respect the automatic TP/SL levels
Check TP Hit Rate on dashboard (Row 3-6)
Trade with the trend (Row 8 on dashboard)
Quick Decision Flowchart
STEP 1: Did BUY/SELL arrow appear? → NO = Don't trade / YES = Continue
STEP 2: Is AI Score 55+? → NO = Skip trade / YES = Continue
STEP 3: Count your confirmations:
BB position (at bands?)
RSI Divergence (Bull/Bear Div label?)
Golden Pocket (Inside/Outside?)
S/R Proximity (Near support/resistance?)
FVG zone (price near gap?)
CHoCH label (structure break?)
STEP 4: Do you have 3+ confirmations? → NO = Wait / YES = ENTER TRADE
STEP 5: Set position size and follow automatic TP/SL levels
Success Tips
✅ Patience is key - Wait for all confirmations to align
✅ Quality over quantity - 2-3 high-probability trades better than 10 weak ones
✅ Trust the system - The AI calculates 11 different indicators
✅ Follow TP/SL strictly - They're calculated for optimal risk:reward
✅ Review dashboard - Check TP Hit Rate to see system performance
✅ Trade sessions - Best results during high volume trading hours
✅ Avoid news events - Major economic releases create unpredictable volatility
[EWT] HTF Candle Panel: Advanced Multi-Timeframe ProjectionOverview
The HTF Candle Panel is a high-performance utility designed for serious technical analysts who require real-time higher timeframe (HTF) context without the need to constantly switch tabs. This indicator renders a customizable panel of HTF candlesticks directly in the right margin of your current chart, allowing you to monitor the developing price action of a Daily, Weekly, or Hourly candle while navigating the lower timeframe (LTF) noise.
Key Features
Real-Time HTF Projection: Unlike standard static overlays, this script uses request.security with lookahead logic to ensure the most recent HTF candle updates tick-by-tick in sync with the live market.
Fully Customizable Interface:
Adjustable Timeframes: Switch between any interval (e.g., watching 1D candles on a 5m chart).
Dynamic Positioning: Use the Extra Right Margin Offset and Spacing inputs to perfectly position the panel in your chart's empty space.
Two Visual Styles: Choose between Standard (Wicks + Bodies) for a classic look or Box style for a cleaner, modern interface.
Smart Background Panel: An optional shaded "container" automatically scales to the High/Low of the projected period, providing a clear visual boundary for your HTF analysis.
Price Action Labels: Toggleable labels for the most recent HTF close prices with configurable positioning and colors.
Strategic Use Cases
1. ICT & CRT Trading (The "Internal vs. External" Perspective)
For traders following Inner Circle Trader (ICT) concepts or Core Range Theory (CRT), understanding where the "HTF Objective" lies is critical.
Identify HTF PD Arrays: Easily visualize HTF Order Blocks or Fair Value Gaps (FVGs) as they form on the Daily or 4H level while you look for entries on the 1m or 5m.
Bias Confirmation: Keep the Daily candle bias in your peripheral vision to ensure your LTF trend alignments are high-probability.
2. Multi-Timeframe (MTF) Analysis
MTF analysis is the backbone of professional trading. This indicator solves the "tunnel vision" problem by providing:
The "Micro-to-Macro" Bridge: See if a 15m bullish breakout is actually just a wick-rejection on a 4H candle.
Candle Close Anticipation: Monitor the "Fullness" of an HTF candle to predict potential reversals or continuations before they happen on the lower timeframe.
How to Set Up
Right Margin: For the best experience, go to your Chart Settings > Canvas > Margin > Right and set it to 100 or higher. This provides the "future space" for the panel to reside.
Configuration: Use the Extra Right Margin Offset input to push the candles further right if they overlap with your current price action.
Developer Best Practices
Built on Pine Script v6, this script follows the KISS (Keep It Simple, Stupid) and DRY (Don't Repeat Yourself) principles. It is optimized for performance by executing drawing logic only on the most recent bar (barstate.islast), ensuring your chart remains lag-free even with multiple candles projected.
Fractal Support & Resistance [JOAT]
Fractal Support & Resistance — Automatic Level Detection with Volume Weighting
Fractal Support & Resistance automatically identifies key price levels using a proprietary combination of fractal detection, volume analysis, and dynamic touch counting. Levels are intelligently styled based on their strength and how many times they have been tested, giving you instant visual feedback on level importance.
Why This Script is Protected
This script is published as closed-source to protect the proprietary level management algorithm and the unique volume-weighted strength calculation methodology from unauthorized republishing. The specific implementation of touch detection, level merging logic, and dynamic opacity calculations represents original work that differentiates this from standard fractal indicators.
What Makes This Indicator Unique
Unlike basic fractal indicators that simply mark pivot points, this system:
Tracks how many times each level has been tested (touch counting)
Weights level importance by volume at the fractal point
Merges nearby fractals into single levels instead of cluttering the chart
Dynamically adjusts visual opacity based on level strength
Provides zone boxes around levels for realistic price reaction areas
What This Indicator Does
Detects fractal pivot highs and lows to establish support and resistance levels
Tracks how many times each level has been touched or tested
Weights level importance by volume at the fractal point
Draws extending lines and zone boxes for each level
Dynamically adjusts level opacity based on touch count for visual strength indication
Provides a dashboard with nearest levels and counts
Core Methodology
The indicator uses Williams Fractal concepts as a foundation but extends them with proprietary enhancements:
Fractal Detection — Identifies pivot highs and lows where price creates local extremes with confirmation bars on each side. A fractal high requires the highest point with lower highs on both sides; a fractal low requires the lowest point with higher lows on both sides.
Level Clustering — New fractals within a tolerance zone (based on Zone Padding %) update existing levels rather than creating duplicates. This keeps the chart clean and focuses on significant price areas.
Volume Integration — Volume at each fractal point is accumulated to weight level significance. Higher volume fractals are considered more important.
Touch Tracking — The system monitors when price approaches existing levels and increments touch counts. More touches indicate stronger, more significant levels.
Visual Strength System
Level appearance changes dynamically based on market interaction:
Newer or less-tested levels appear more transparent (up to 80% transparency)
Each additional touch reduces transparency by 15%
Heavily tested levels become more prominent and opaque (minimum 20% transparency)
Labels display level number and touch count (e.g., "R1 (3)" = Resistance 1 with 3 touches)
Zone boxes provide visual areas around each level
Color Scheme
Resistance Color — Default: #FF5252 (red) — Used for resistance levels and zones
Support Color — Default: #4CAF50 (green) — Used for support levels and zones
Zone Fill — 90% transparent version of level color
Zone Border — 70% transparent version of level color
Labels — 30% transparent background with white text
Dashboard Information
The on-chart table (bottom-left corner) displays:
Number of active resistance levels meeting minimum touch requirement
Number of active support levels meeting minimum touch requirement
Nearest resistance level above current price
Nearest support level below current price
Inputs Overview
Fractal Settings:
Fractal Period — Bars on each side for fractal confirmation (default: 2, range: 1-10)
Max Levels Per Side — Maximum resistance and support levels to track (default: 5, range: 1-20)
Zone Padding (%) — Level zone width as percentage of price (default: 0.2%, range: 0-2%)
Filtering:
Volume Weight Levels — Toggle volume-weighted level importance (default: on)
Min Touches to Show — Filter out levels with fewer touches (default: 1, range: 1-10)
Lookback Period — Historical bars to analyze for level detection (default: 200, range: 50-500)
Visual Settings:
Resistance/Support Colors — Customizable color scheme
Show Zone Boxes — Toggle filled zone areas around levels
Show Level Labels — Toggle level labels with touch counts
Show Fractal Markers — Toggle small triangles at fractal points
Show Dashboard — Toggle the information table
Line Width — Thickness of level lines (default: 2, range: 1-5)
How to Use It
For Support/Resistance Trading:
Use levels with higher touch counts as stronger support/resistance references
More opaque levels have been tested more times and are more significant
Watch for price reactions at zone boundaries, not just exact level prices
Combine with candlestick patterns at levels for entry signals
For Breakout Trading:
Watch for breakouts when price closes beyond a level
Levels with many touches that finally break often produce strong moves
Use the zone box—a close beyond the zone is more significant than just touching the level
Set alerts for resistance/support breaks
For Target Setting:
Use the nearest resistance as a profit target for long positions
Use the nearest support as a profit target for short positions
Dashboard shows these levels for quick reference
Alerts Available
FSR Resistance Break — Price closes above a resistance level
FSR Support Break — Price closes below a support level
FSR New Fractal High — Fresh fractal high detected
FSR New Fractal Low — Fresh fractal low detected
Best Practices
Increase Fractal Period for fewer but more significant levels
Use Min Touches filter to show only well-tested levels
Volume weighting helps identify institutionally significant levels
Combine with trend indicators—trade with the trend at levels
This indicator is provided for educational purposes. It does not constitute financial advice. Past performance does not guarantee future results. Always conduct your own analysis and use proper risk management before making trading decisions.
— Made with passion by officialjackofalltrades
C2 HTF Detection CRT [MarioLeb]What This Indicator Does:
1. Detects "C2 Sweeps" - Price retesting previous highs/lows then closing back inside the range.
2. Shows HTF Structure - Marks High Timeframe support/resistance zones (C1 ranges).
3. Finds Multi-Timeframe Confluence - When HTF and LTF C2 signals align at same levels.
4. Highlights CRT Cycles - Complete market cycles (C1→C2→C3 pattern).
Visual Output:
Horizontal lines = C2 sweep levels
Colored zones = C1 ranges (key areas)
Yellow line = 50% level of C1 range
Boxes = CRT cycles (if enabled)
CISD lines = Change in supply/demand confirmation
Purpose:
Identify where higher timeframe structure meets lower timeframe precision - shows where big moves often start.
Alert Features:
Automated Alerts trigger when:
HTF C2 Detected - "Bullish/Bearish HTF C2 Detected on "
CRT Cycle Complete - "Bullish/Bearish CRT Cycle Detected on "
CISD Confirmed - "HTF CISD Confirmed on "
LTF C2 Detected - "Bullish/Bearish LTF C2 vs HTF C1 Detected"
Key Alert:
Once C2 candle closes inside C1 range after sweeping high/low → Alert fires immediately.
Each alert includes:
Direction (Bullish/Bearish)
Timeframe
Mode (Strict/Easy)
Pattern type (C2/CRT/CISD)
Alert frequency: Once per bar (no spam).
Market time opens @NeoNztime opens marked out new york session , london session, asia session and highs and lows of each one
ADX + DI Trend Gate PROADX + DI Trend Gate PRO is a trend filter and signal tool built around DMI (DI+ / DI-) and ADX. It helps you avoid choppy conditions by requiring real trend strength and DI separation before allowing signals.
Key features:
AUTO presets for 5m / 15m (optimized for fast intraday use)
Optional MTF confirmation (5m → 15m, 15m → 1H)
Adaptive DI Gap (volatility-based adjustment using ATR/Close)
Confirm on bar close option (no repaint mode)
Signal modes: DI Cross (classic) or Gate Flip (more responsive)
Optional filters: ATR volatility filter and Volume filter
Exit signals when trend weakens (ADX weakening / DI convergence / DI flip)
Info panel with active parameters, AUTO vs MANUAL, MTF diff, and adjustable panel font size
How to use (practical):
For cleaner signals, keep AUTO presets ON and enable Confirm on bar close.
For stricter filtering, enable MTF confirmation and/or Require ADX rising.
Volume filter is best on instruments with meaningful volume; on Forex (tick volume) it’s often better OFF.
Disclaimer : This indicator is a trend filter and timing tool, not financial advice. Always backtest and use proper risk management.
Neural Trend Engine [JOAT]Neural Trend Engine - Multi-Layer Adaptive Trend Detection
Neural Trend Engine uses a multi-layer filtering approach inspired by neural network concepts. It combines multiple adaptive moving averages with proprietary momentum and volatility weighting to generate trend signals with reduced lag and improved confidence scoring.
Why This Script is Protected
This script is published as closed-source to protect the proprietary signal composition algorithm and the specific weighting methodology from unauthorized republishing. The unique combination of adaptive layer calculations, momentum normalization, and volatility integration represents original work that goes beyond standard indicator implementations.
What Makes This Indicator Unique
Unlike simple moving average crossover systems, Neural Trend Engine:
Uses three Kaufman Adaptive Moving Averages (KAMA) that automatically adjust their smoothing based on market efficiency
Combines layer alignment, momentum, and volatility into a single "neural signal"
Provides signal strength percentages so you know the conviction level of each signal
Creates a visual trend cloud that makes direction immediately obvious
What This Indicator Does
Plots three adaptive moving average "layers" that respond dynamically to market efficiency
Creates a trend cloud between fast and slow layers for visual trend identification
Generates weighted composite signals from layer alignment, momentum, and volatility
Displays buy/sell labels with signal strength percentages
Provides a comprehensive dashboard with multi-component breakdown
Colors the neural line and cloud based on current trend direction
Core Methodology
The indicator employs a three-layer adaptive system where each layer responds to market conditions at different speeds:
Fast Layer (default: 8) — Quick response for short-term direction changes
Medium Layer (default: 21) — Intermediate trend reference
Slow Layer (default: 55) — Long-term trend anchor
Each layer uses efficiency-based adaptation, meaning they become more responsive during trending conditions and smoother during choppy markets.
The neural signal is a proprietary composite that weighs three distinct market components:
Momentum Component (default: 40%) — Measures directional price velocity, normalized to its recent range
Trend Component (default: 35%) — Evaluates alignment between the three adaptive layers
Volatility Component (default: 25%) — Incorporates market volatility state into signal generation
These components are combined using a weighted formula that has been calibrated to balance responsiveness with noise reduction.
Signal Generation
Direction changes occur when the smoothed neural signal crosses a configurable strength threshold:
Bullish — Signal exceeds positive threshold with layer alignment confirmation
Bearish — Signal drops below negative threshold with layer alignment confirmation
Neutral — Signal remains within threshold range, indicating consolidation
Signal strength percentages indicate the conviction level of each signal, helping traders assess trade quality. Higher percentages suggest stronger trend conviction.
Visual Features
Trend Cloud — Filled area between fast and slow layers, colored by trend direction
Neural Line with Glow — Weighted average of all three layers with glow effect
Medium Layer — Subtle white line showing intermediate trend
Signal Labels — BUY/SELL labels with strength percentages at signal points
Small Markers — Alternative triangle markers when labels are disabled
Color Scheme
Bullish Color — Default: #26A69A (teal green) — Used for bullish trends and signals
Bearish Color — Default: #EF5350 (red) — Used for bearish trends and signals
Cloud Fill — 85% transparent version of trend color
Neural Line Glow — 60% transparent version for glow effect
Dashboard Information
The on-chart table (top-right corner) displays:
Current direction (BULLISH, BEARISH, or NEUTRAL)
Neural signal percentage
Layer alignment status (ALIGNED UP, ALIGNED DOWN, or MIXED)
Momentum direction and percentage
Trend strength percentage
Inputs Overview
Neural Layers:
Fast Layer — Period for fast adaptive MA (default: 8, range: 2-50)
Medium Layer — Period for medium adaptive MA (default: 21, range: 5-100)
Slow Layer — Period for slow adaptive MA (default: 55, range: 10-200)
Source — Price source for calculations (default: close)
Sensitivity:
Momentum Weight — Weight for momentum component (default: 0.4)
Trend Weight — Weight for trend/layer alignment (default: 0.35)
Volatility Weight — Weight for volatility component (default: 0.25)
ATR Period — Period for volatility calculations (default: 14)
Visual Settings:
Bullish/Bearish Colors — Customizable color scheme
Show Trend Cloud — Toggle the filled cloud area
Show Signal Labels — Toggle BUY/SELL labels with percentages
Show Neural Line — Toggle the main trend line
Show Dashboard — Toggle the information table
Alerts:
Await Bar Confirmation — Wait for bar close before triggering (recommended)
Min Signal Strength — Threshold for direction changes (default: 0.3 = 30%)
How to Use It
For Trend Following:
Follow the trend cloud color for overall market direction
Enter long when cloud turns bullish (teal) and signal strength is high
Enter short when cloud turns bearish (red) and signal strength is high
Use the neural line as a trailing stop reference
For Signal Trading:
Wait for BUY/SELL labels to appear
Check the signal strength percentage—higher is better
Confirm with dashboard showing aligned layers
Avoid signals during MIXED layer alignment
For Confirmation:
Use Neural Trend Engine to confirm signals from other systems
Strong confirmation when all three layers are aligned
Dashboard shows momentum and trend strength for additional context
Alerts Available
NTE Buy Signal — Bullish direction change detected
NTE Sell Signal — Bearish direction change detected
NTE Direction Change — Any trend direction change
Best Practices
Higher signal strength percentages indicate more reliable signals
Wait for layer alignment (shown in dashboard) before entering trades
Use on higher timeframes for more reliable trend identification
Combine with support/resistance levels for entry timing
This indicator is provided for educational purposes. It does not constitute financial advice. Past performance does not guarantee future results. Always conduct your own analysis and use proper risk management before making trading decisions.
— Made with passion by officialjackofalltrades
Scooby SpecialThis indicator detects bullish and bearish divergences between price and 5-period RSI using confirmed pivot points. Signals only trigger below RSI 40 for bullish setups and above RSI 60 for bearish setups.
Matrix Momentum OscillatorThe Matrix Momentum Oscillator is a sophisticated momentum indicator created by MatrixAlgo that combines trend analysis with oscillator dynamics to provide comprehensive market insights. This professional-grade tool transforms complex price action into clear, actionable signals.
Key Features:
Multiple Trend Algorithms - Choose between EMA, SMA, HMA, or RMA to match your trading preference and market conditions
Dynamic Volatility Bands - Bullish and bearish zones automatically adjust based on market volatility, highlighting extreme conditions
Dual-Line System - Main oscillator line paired with a signal line generates precise crossover opportunities
Visual Histogram - Color-coded bars show the momentum strength and direction at a glance
Smart Signal Filters - Optional volume and RSI filters help eliminate false signals and improve accuracy
Real-Time Dashboard - Live info panel displays current trend direction, oscillator value, and signal status
Extreme Zone Detection - Background highlighting alerts you when the oscillator reaches extreme bullish or bearish levels
Comprehensive Alert System - Notifications for buy/sell signals and extreme zone entries
Fully Customizable - Adjust colors, lengths, multipliers, and filters to create your perfect setup
SigmaPulse NavigatorThe **zSigma Pulse Navigator** is a comprehensive, "Regime-Based" algorithmic trading tool designed for TradingView. Unlike standard technical indicators that generate continuous buy or sell signals regardless of market conditions, the zSigma Pulse functions primarily as a **market filter**. It first mathematically classifies the market environment as either "Efficient" (Trending) or "Inefficient" (Choppy) and only unlocks specific trading signals that are statistically valid for that specific state.
It is constructed from three distinct computational "engines" that work in unison to eliminate false signals:
### 1. The Regime Engine (The Filter)
The foundation of the zSigma Pulse is the **Choppiness Index (CI)**. The algorithm uses this to quantify the "Fractal Dimension" of price action.
* **Trend Mode (Green/Red Background):** If the Chop Index falls below a specific threshold (default 50), the system declares a Trend. The chart background lights up Green (Bullish) or Red (Bearish), permitting breakout strategies.
* **Chop Mode (Grey Background):** If the Chop Index rises above the threshold, the background turns Grey. This signals consolidation, warning the trader to ignore breakout signals and focus on mean reversion.
### 2. The Consensus Engine (The Vote)
To determine momentum direction, the indicator employs a proprietary "Voting System" that aggregates three independent indicators: **ADX** (Trend Strength), **RSI** (Momentum), and **SuperTrend** (Price Action).
* **The "2-out-of-3" Rule:** A directional signal (e.g., a Green Cloud) is only generated if at least **two** of these three engines agree. This consensus mechanism filters out "fake-outs" where price might move (SuperTrend) but lacks the internal energy (ADX) to sustain the move.
### 3. The Volatility Engine (The Cloud)
The tool visualises volatility through a **Dynamic Range**—a shaded cloud that expands and contracts based on market noise.
* It typically uses **Bollinger Bands** (based on Standard Deviation) or **Keltner Channels** (based on ATR).
* **In Trends:** The cloud expands, and the bottom of the cloud acts as a dynamic trailing stop.
* **In Chop:** The cloud contracts, creating a visual channel where traders can "buy the dip" (Diamond signals) at the bottom of the range.
### Key Features and Defaults
* **Institutional Tuning:** The indicator is hardcoded with "smart" defaults rather than standard retail settings. For example, it utilizes an **EMA 27** (a Fibonacci-adjacent number) rather than the standard 20 or 50 Moving Average, designed to catch institutional trends earlier.
* **Multi-Timeframe (MTF) Stack:** It automatically plots higher-timeframe Moving Averages (e.g., Weekly and Monthly lines) onto the Daily chart. This allows traders to ensure their trades align with the dominant structural trend without switching tabs.
* **Signal Shapes:**
* **Triangles:** Signal a **Breakout** (Trend Following).
* **Diamonds:** Signal a **Mean Reversion** entry (buying the bottom of the range in a pullback).
### Analogy
Think of the zSigma Pulse Navigator as a **sophisticated voltmeter** for the market.
Just as you wouldn't plug a sensitive appliance into an unstable power outlet, this tool measures the "current" of the market. If the volatility is erratic (Grey/Chop), it cuts the circuit to protect your capital. It only gives you the "Green Light" to trade when the voltage (Momentum) is stable and flowing in one direction.
MARAL Execution WorkflowOverview
MARAL Execution Workflow is a discretionary execution decision-support indicator designed to organize market context into a consistent workflow. It is not an automated trading system, does not place orders, and does not predict outcomes.
Meaning of MARAL: Market Alignment + Risk Awareness + Logic-based execution gating — a structured workflow framework designed to improve clarity and consistency in discretionary execution.
This tool supports discretionary decision-making across three stages: Context → Qualification → Management.
It extends analysis beyond entry by supporting post-entry decisions such as: Should I stay? Should I reduce risk? Should I exit? Or should I wait? These are decision-support questions, not predictions.
Key Features
9-Layer Framework + 3 Boards + EDC
The script uses a 9-layer framework coordinated by a centralized decision-state layer (EDC). Each layer has a defined role:
1. Directional Context (Trend/Bias Layer) — establishes a directional preference using configurable bias filters.
2. Higher-Timeframe Context (HTF Layer) — anchors execution to broader context when enabled.
3. Structure Mapping (Swing/Structure Layer) — identifies structural behavior (highs/lows) to frame decision areas.
4. Location / Proximity Awareness (Obstacle Layer) — evaluates proximity to likely reaction areas for risk awareness.
5. Momentum Quality (Momentum Layer) — distinguishes healthier follow-through vs weakening/choppy conditions.
6. Volatility / Stability Regime (VOL/REGIMI) evaluates volatility using ATR% thresholds and regime support using ADX.
7. Pre-Entry Qualification (Checklist Layer) — confirms whether minimum execution conditions are satisfied before entry.
8. Post-Entry Management Context (Management Layer) — monitors changing conditions after a setup for discretionary management.
9. Liquidity Context (Liquidity Layer) — integrates liquidity-based location context using PDH/PDL proximity, sweep/reclaim behavior, and lookback extreme breaks. When enabled, the script may also plot liquidity reference points for visual mapping.
Liquidity Regime States (Panel Output)
The Liquidity Layer displays a 3-state liquidity regime used for execution risk awareness:
• HIGH — a liquidity event is detected (e.g., sweep/reclaim or lookback extreme break).
• NEUTRAL — no event, but liquidity is nearby (proximity to PDH/PDL within a defined threshold).
• LOW — no event and no nearby liquidity pressure detected.
These are context/risk states used for discretionary gating — not buy/sell signals and not outcome predictions.
Boards
• Context Board — summarizes direction, HTF context, structure, momentum, volatility (ATR%), trend regime (ADX), scores, and liquidity context.
• Qualification Gate — rule-based checklist view to confirm minimum execution conditions before entry.
• Management Desk — post-setup view to monitor risk changes, obstacle proximity, deterioration cues, and management states.
EDC — Execution Decision Core
EDC consolidates outputs from the framework into unified workflow states. It applies rule-based gating to reduce conflict when conditions are mixed.
EDC Unified Output States (Decision-Support Only):
• SETUP: WAIT / LONG / SHORT
• ENTRY PERMISSION: ENTER / WAIT / SKIP
• LIQUIDITY: HIGH / NEUTRAL / LOW
• TRADE STATUS: VALID / RISKY / WEAK / —
• ACTION STATE: HOLD / TIGHT SL / SCALE OUT / EXIT / —
— may appear when a state is not applicable (e.g., no active management window is being tracked).
Panels & Labels (Exact On-Chart Meanings)
1) Context Board (Market Environment Snapshot)
• DIRECTION → Bullish / Bearish / Neutral
• H1 CONTEXT / H4 CONTEXT / DAILY CONTEXT → HTF bias states (when enabled). If HTF is disabled, shows OFF.
• STRUCTURE → Bull Struct / Bear Struct / Neutral Struct
• MOMENTUM → BULL / BEAR / NEUTRAL
• VOLATILITY (ATR%) → ATR as a percentage of price (volatility context)
• TREND STRENGTH → ADX context value
• LONG SCORE / SHORT SCORE → internal workflow alignment scores (0–100) with grade: A++ / A+ / A / B / No-Trade
• ALIGNMENT SCORE → combined alignment score used for gating
• LIQUIDITY CONTEXT → HIGH / NEUTRAL / LOW
Important: Scores are internal workflow scoring for filtering/alignment. They are not performance statistics and do not imply guaranteed probability or outcomes.
2) Qualification Gate (Pre-Entry Checklist)
Gate Legend: OK = passes filter, WARN = mixed/caution, BAD = fails filter (execution gated).
• SETUP → WAIT / LONG / SHORT
• HTF CONTEXT → OK / WARN / BAD / —
• STRUCTURE → OK / WARN / BAD / —
• MOMENTUM → OK / WARN / BAD / —
• VOL/REGIME → OK / WARN / BAD / — (Volatility + regime filter; not volume)
o OK = ATR% within thresholds AND ADX meets regime requirement
o WARN = ATR% within thresholds but regime is mixed (ADX below threshold)
o BAD = ATR% outside thresholds
• LIQUIDITY → HIGH / NEUTRAL / LOW
• ALIGNMENT → shows score vs required minimum threshold
• ENTRY PERMISSION → ENTER / WAIT / SKIP
Purpose: reduce forced entries by requiring minimum execution quality.
3) Management Desk (Post-Setup Decision Support)
The Management Desk operates inside an Active Window measured in bars after the last setup (configurable by input). When the management window is not active, some fields may show —.
• TRADE STATUS → VALID / RISKY / WEAK / —
— appears when no active trade state is being tracked (not applicable).
• MARKET PHASE → RANGE / IMPULSE / PULLBACK / CONTINUATION
Environment classification used for management context (not prediction).
• OBSTACLE AHEAD → YES / NO
Proximity risk context (e.g., near PDH/PDL or near swing levels under the script’s logic).
• EXIT PRESSURE → LOW / RISING / HIGH
Management pressure context based on deterioration cues (not a signal).
• MOMENTUM HEALTH → STRONG / WEAKENING / WEAK / NEUTRAL
Follow-through quality context used for management.
• SCORE TREND → IMPROVING / DETERIORATING / STABLE
Direction of the internal workflow score trend (not P&L, not performance).
• RISK STATE → OVEREXTENDED / NORMAL
Overextension context based on distance from EMA vs ATR.
• TRADE AGE → FRESH / MID / LATE / —
Workflow age based on bars since last setup. — when not applicable.
• SL MODE → BE OK / TIGHT / NORMAL / —
Stop-management context used for discretionary risk control. — when not applicable.
• ACTION STATE → HOLD / TIGHT SL / SCALE OUT / EXIT / —
o HOLD = maintain the current plan under present conditions
o TIGHT SL = discretionary prompt to reduce risk by tightening protection
o SCALE OUT = discretionary prompt to partially reduce exposure (partial exit / trim size), typically when obstacle proximity risk is detected
o EXIT = discretionary prompt that conditions deteriorated and exit may be considered
o — = not applicable
• ACTIVE WINDOW → ON / OFF
Shows whether the post-setup management window is active (bars after the last setup, per the “Active Window” input). When OFF, management/trade states may show —.
Optional Modules (Toggleable)
To keep the chart clean and workflow-focused, optional modules can be enabled/disabled:
A) PDH/PDL Reference (Optional)
• Plots Previous Day High / Previous Day Low as structured reference points (risk awareness only).
B) ATR-Based Planning Guides (Optional)
• Optional visual guides for SL / TP1 / TP2 / TP3 based on ATR.
• Visual planning references only. Does not place orders and does not guarantee outcomes.
C) Visual Color Layer (Optional)
• Optional state-based candle coloring for readability only.
D) State Markers (Optional)
• Optional state markers (e.g., LONG/SHORT confirmations). These are state confirmations only, not trade recommendations.
Display & Layout Options
• Display Mode: Mobile / Medium / Desktop
• Mobile Minimal View: optional minimal mode (EDC-only)
• Panel Positioning: 9 anchor positions
(Top Left / Top Center / Top Right / Middle Left / Middle Center / Middle Right / Bottom Left / Bottom Center / Bottom Right)
Why This Is Not a “Mashup”
This publication is not intended to bundle multiple classic indicators as independent buy/sell tools. While it uses familiar building blocks (trend/bias filtering, volatility/regime context, structure references, liquidity context), each component has a defined role inside a single execution workflow:
• Context Board → Qualification Gate → Management Desk organizes information into a consistent discretionary process.
• EDC consolidates multi-layer conditions into unified states using rule-based gating to reduce conflict and prioritize risk awareness.
This is a decision-support framework designed to improve clarity and consistency in discretionary execution. It does not place orders and does not provide guaranteed outcomes.
How to Use (Recommended Workflow)
1. Set context: Use the Context Board to determine directional preference, volatility/regime stability, and location context.
2. Qualify execution: Use the Qualification Gate as the filter. If alignment is not sufficient, avoid forcing entries.
3. Execute with location awareness: Avoid late entries into nearby obstacles. Treat proximity as increased risk.
4. Manage post-setup: Use the Management Desk to monitor risk changes. If states deteriorate, follow your plan (reduce risk, protect, or exit).
5. Stay consistent: Works best with position sizing rules and disciplined confirmation.
Screenshots / Visual Reference (What each panel shows)
Screenshot 1 — Full Workflow View (Desktop)
Shows the complete workflow layout on one chart: Context Board, Qualification Gate, Management Desk, and the EDC (Execution Decision Core) summary together.
Screenshot 2 — Context Board
Shows directional context, HTF context (if enabled), structure mapping, momentum quality, volatility/stability regime (ATR + ADX), and liquidity context (HIGH/NEUTRAL/LOW). This board is used to understand “market alignment” before considering execution.
Screenshot 3 — Qualification Gate (Pre-Entry)
Shows the rule-based checklist view used for discretionary pre-entry qualification. It summarizes SETUP (WAIT/LONG/SHORT), key confluence checks, liquidity context, and ENTRY PERMISSION (ENTER/WAIT/SKIP). This is a gating view—meant to prevent forced entries when alignment is insufficient.
Screenshot 4 — Management Desk (Post-Entry)
Shows post-entry condition monitoring within the active window after the last setup. It highlights trade status shifts (VALID/RISKY/WEAK), obstacle proximity, exit pressure, momentum health, score trend, risk state, SL mode, and action guidance context.
Screenshot 5 — EDC Panel (Execution Decision Core) — Centralized State
Shows the unified decision-support outputs consolidated from the workflow layers and boards into one compact view:
• SETUP: WAIT / LONG / SHORT
• ENTRY PERMISSION: ENTER / WAIT / SKIP
• LIQUIDITY: HIGH / NEUTRAL / LOW
• TRADE STATUS: VALID / RISKY / WEAK
• ACTION STATE: HOLD / TIGHT SL / SCALE OUT / EXIT
These are rule-based guidance states for discretionary execution and risk awareness — not automated actions.
Screenshot 6 — Example –Execution context
The screenshot shows MARAL Execution Workflow applied to XAUUSD on the 1-hour timeframe. All three boards and the EDC panel are visible:
• Context Board (top-right) – Confirms a fully aligned bullish environment: direction and all HTF contexts are Bullish, structure is “Bull Struct”, momentum is “BULL”, volatility (ATR%) is within normal bounds, and the long-side alignment score is high while the short-side score is in “No-Trade” territory. Liquidity Context is “LOW”, indicating limited immediate liquidity pressure.
• Qualification Gate (top-center) – For the same bar, the checklist produces a LONG setup with HTF CONTEXT, STRUCTURE, MOMENTUM and VOL/REGIME all marked OK. Liquidity is LOW, and ALIGNMENT shows “93 / 65”, meaning the current long-side score (93) is above the user-defined minimum threshold (65). ENTRY PERMISSION = ENTER, signaling that, within this framework, execution conditions are sufficiently aligned to allow a discretionary long entry according to the trader’s own plan.
• Management Desk (left) – Once a trade is active, the post-entry view monitors evolving risk. In this example the trade status is VALID and MARKET PHASE is CONTINUATION, while RISK STATE highlights OVEREXTENDED and TRADE AGE is FRESH. MOMENTUM HEALTH = STRONG, SCORE TREND = STABLE, and ACTION STATE = HOLD. This illustrates how the panel can flag extension or emerging pressure without forcing a decision.
• EDC | Execution Decision Core (bottom-right) – The EDC panel consolidates the key states into one unified view: SETUP = LONG, ENTRY PERMISSION = ENTER, LIQUIDITY = LOW, TRADE STATUS = VALID, ACTION STATE = HOLD. These are rule-based guidelines summarizing the interaction between Context, Qualification, Management and liquidity conditions. They are decision-support outputs only; they do not place orders and do not imply any guaranteed outcome.
Inputs & Customization
Inputs are provided to adapt the workflow to different instruments and timeframes, including:
• bias/trend parameters and smoothing, optional HTF context,
• structure sensitivity and lookback,
• momentum thresholds,
• volatility thresholds (ATR% limits) and regime filter (ADX),
• liquidity sensitivity (lookback / proximity thresholds),
• visuals (show/hide boards, display mode, mobile minimal view, text size, positioning).
Markets & Timeframes
Designed for multiple markets and instruments available on Trading View, including:
• Indices (index charts / index futures where available — not an options-chain or options-pricing tool)
• Crypto
• Forex
• Stocks / ETFs
• Commodities
Timeframe-agnostic: can be applied from lower to higher timeframes based on your trading style. Results vary by instrument, timeframe, and volatility/regime.
Limitations (Important)
• Discretionary analysis tool only; does not place trades.
• Optional markers/labels (if enabled) are state confirmations only, not recommendations.
• HTF values can update as HTF candles develop.
• Structure/obstacle references are informational decision areas and may be exceeded.
• No indicator removes risk; risk management remains essential.
• Provided “as-is.” Outputs may differ across symbols, sessions, spreads, or data feeds.
Risk & Disclaimer
Trading involves risk. Past behavior does not indicate future performance. This script is provided for educational and analytical purposes only. You are responsible for all trading decisions, including entries, exits, position sizing, and risk management. The script does not place trades and does not provide investment advice.
[iQ]PRO Quantum MMXM Matrix Oscillator+++1. PRO Quantum MMXM Probability Matrix+++
2. Summary
This advanced market analysis engine combines fractal geometry with institutional liquidity models to decode complex market structure in real-time. Designed for precision traders, it utilizes a probabilistic state machine to forecast market regimes, distinguishing between accumulation, manipulation, and genuine trend expansion.
3. How It Works
The script operates on a "Theoretical Physics" approach to market data, treating price action as a dynamic system shifting between various energy states.
Probabilistic Regime Detection: Instead of relying solely on lagging price crosses, the core engine utilizes a Markov Chain model. This analyzes the probability of the market transitioning from one state (e.g., Consolidation) to another (e.g., Expansion) based on historical sequence learning.
Fractal Momentum weighting: The oscillator employs a "Quantum" momentum calculation. It weights price velocity against the market's "roughness" (using Hurst Exponent logic). This filters out low-quality volatility, ensuring that only statistically significant moves drive the signal.
Institutional Liquidity (MMXM) Curve: This component calculates the density of buying versus selling pressure relative to a dynamic equilibrium. It aims to identify "Manipulation" zones where price is artificially extended away from fair value to engineer liquidity.
Entropy & Confidence: The system measures the "disorder" of the current trend. Low entropy indicates a high-confidence, organized trend, while high entropy warns of chaotic, low-probability conditions.
4. Key Features
8-State Market Classification: Automatically detects phases including Consolidation, Manipulation, Expansion, and Distribution.
MMXM Liquidity Curve: Visualizes potential "Smart Money" reversal points and liquidity runs.
Multi-Timeframe Alignment: An on-chart dashboard displaying structural alignment across Daily, 4-Hour, and current timeframes.
Probability Density Field: Dynamic background coloring that intensifies based on the statistical confidence of the current directional bias.
Live Probability Heatmap: A real-time data table showing the percentage likelihood of the next market state.
5. How to Use
Step 1: Assess Directional Bias Check the "Probability Field" background color and the Quantum Metrics panel. A bright Green background indicates high-confidence bullish probability; Red indicates bearish.
Step 2: Confirm Structure (MTF) Consult the top-left Alignment Table. Ideal high-probability entries occur when the "HTF" (Higher Timeframe) and "MTF" (Medium Timeframe) states align in color/direction.
Step 3: Identify the Setup
Reversals: Look for the Oscillator or Price to hit the Deviation Targets (dotted lines). These represent statistically overextended zones (Fractal Deviation).
Trend Continuation: Wait for the "State" to switch from "Manipulation" to "Expansion" while the MMXM Curve crosses the equilibrium (zero) line.
Step 4: Risk Management Use the "Confidence" metric in the bottom panel. If Confidence drops below 50%, reduce position sizing or tighten stops, as the market is entering a chaotic state.
6. Settings & Configuration
Quantum Field Config: Customizes the specific timeframes used for the Multi-Timeframe alignment (HTF1, HTF2, MTF).
Fractal Parameters: Adjust the Hurst Exponent and Fractal Dimension to tune how the script filters noise versus trend.
MMXM Settings: Toggle the sensitivity of the liquidity curve and choose the equilibrium reference (VWAP, EMA, or Session Open).
Visualization: Individual toggles to show/hide the Oscillator, Probability Field, Heatmaps, and Deviation lines to keep your chart clean.
Access & Proprietary Terms
This is a Closed-Source, Invite-Only proprietary tool. The underlying algorithms are obfuscated to protect the integrity of the PRO methodology and its private user base.
Computational Optimization: Engineered for high-frequency data processing with minimal terminal lag.
Membership: Access is strictly reserved for private members.
Disclaimer: Trading involves significant risk. The PRO Matrix is an advanced analytical tool and does not guarantee profits. Past performance within the probability engine is not necessarily indicative of future results.
Gold Adaptive Surfer v42 [huntamayung]Just a trend-following optimized for minimal risk and high grip onto trend. Try to use it as a signal in 1 minute timeframe. Note that this was optimized for OANDA:XAUUSD only.
Multi-Timeframe Close and Midpoint ConfluenceMulti-Timeframe Close Monitoring and Price Midpoint Confluence Indicator
This indicator is designed to assist traders in monitoring multiple timeframe candle closes and identifying areas where price midpoints (50% levels) from different timeframes cluster together.
The tool focuses on timing awareness and structural context, helping users observe periods where multiple timeframe events occur close together, which may coincide with increased market activity.
What the Indicator Tracks
The indicator monitors candle close timing and price context across multiple timeframes, including:
Intraday timeframe closes (30m, 1h, 2h, 3h, 4h, 6h, 8h)
Higher-timeframe closes (Daily, Weekly, Monthly) when within a defined scan window
The midpoint (50%) of the previous candle for each tracked timeframe
The distance between current price and each midpoint level
This information is evaluated independently for each timeframe.
Timeframe Close Confluence
When multiple timeframes are approaching a candle close within a short window, the indicator highlights this period visually.
These moments can be useful for observing potential shifts in activity or volatility, particularly when combined with other forms of analysis.
Visual markers and optional alerts are used to draw attention to these timing clusters.
Midpoint (50%) Level Clustering
The indicator also evaluates whether multiple 50% levels from different timeframes are located within a user-defined proximity.
When several midpoints cluster closely together, the area is highlighted as a zone of interest for further observation, as overlapping price references may act as areas of interaction.
Countdown & Information Panel
An optional on-chart panel displays:
A live countdown to upcoming timeframe closes
Relative urgency based on proximity to each close
Whether current price is above or below each midpoint
Distance metrics to help gauge proximity
Color coding is used to improve readability rather than indicate trade direction.
Visual Context Tools
Additional visual options include:
Background shading when multiple timing or midpoint conditions overlap
Adjustable thresholds to control sensitivity
Customizable colors, opacity, and panel placement
These visuals are intended to provide contextual awareness, not trade signals.
Intended Use
Style: Multi-timeframe analysis and timing awareness
Markets: Forex, crypto, equities, futures
Purpose:
Monitor upcoming timeframe closes
Observe overlapping price reference zones
Improve preparation around potential activity windows
The indicator is best used as a supplementary tool alongside independent analysis.
Important Notes
This script is provided for educational and analytical purposes only.
It does not predict market outcomes and should not be used as a standalone decision-making tool. Users are encouraged to apply appropriate risk controls and confirm observations with additional analysis.
ICT all in oneSessions, PDH, PDL, High Time Frame Candles and Inversion Fair Value gap detector.
This indicator helps detect FVG's on the higher time frame for you to mark with the HTF candles.
Helps see Session sweeps, Small SMT's, Previous day high and low and one Inversion closes to price on the current time frame for possible entry.
Multi-Group Trend Boxes with POC Trend Line - XWiseTradeAdvanced multi-timeframe trend structure visualization.
This indicator creates three independent groups of trend boxes, each with:
• Custom bar count and lower timeframe POC calculation
• Automatic up/down/sideways coloring
• Connecting POC trend line
Perfect for:
• Multi-timeframe confluence analysis
• Identifying trend strength across scales
• Clean structural price action mapping
Features:
• 3 fully customizable groups (short/medium/long term)
• Dynamic POC-based trend lines
• Transparent colored boxes
• High performance with object management
More premium indicators and strategies coming soon at:
xwisetrade.com
Be Wise. Trade X.
Fixed Time Frame EMA [TickDaddy]Show a 50 period EMA on the 15 minute timeframe on any other timeframe like 5 min, 1 min, 1 hour, etc.. etc..
it's all customizable, you choose the timeframe, ema, color, all that good stuff.
Kijun Equilibria [by Oberlunar]The “story” starts with Ichimoku Kinkō Hyō, created by the Japanese journalist Goichi Hosoda in the 1930s and published in the 1960s; its literal meaning is often rendered as a “one-glance equilibrium chart” because it aims to show balance, trend direction, and dynamic support/resistance at a glance.
In that tradition, the Kijun-sen (“base line”) is not just a moving average: it is a reference equilibrium level, classically computed as the midpoint of the high–low range over 26 periods.
Kijun Equilibria keeps that Japanese “equilibrium” idea, but modernises it in two ways. First, it turns the Kijun concept into an adaptive equilibrium line: instead of assuming a fixed market tempo (like the classic 26), it estimates a dominant cycle length using an Ehlers-style Hilbert/cycle approach, then scales internal lengths and smoothers so the equilibrium line responds differently in trending vs choppy regimes.
Second, it makes equilibrium explicitly multi-timeframe: you compute the adaptive Kijun on the chart TF (in this example 30 m) plus three lower TFs (in this example 1, 3, 5 m), then build a “cloud” between the highest and lowest of those equilibria, which becomes a practical map of where timeframes disagree and where price is most likely to “snap back” toward balance.
Bearish bias
This is a signal that the trend may shift into a bearish bias.
Due to this graphical setup, “cloud fog” is a meaningful meta-word here. In classic Ichimoku, the thickness and shape of the cloud provide a visual way to reason about strength and uncertainty.
In my indicator, the “cloud fog fills” reinterpret that same visual principle, but instead of Senkou spans, they shade the space between equilibria across timeframes, making dispersion (and compression) immediately visible.
The Ornstein–Uhlenbeck part then adds a quantitative “pullback detector” that fits the Ichimoku philosophy rather than replacing it. OU was introduced by Ornstein and Uhlenbeck as a mean-reverting stochastic process; in modern terms, it is a canonical model for a variable that is continuously pulled back toward a mean.
Bullish bias
In this case, we have a bullish bias, and the pullback detector based on Ornstein–Uhlenbeck mean-reversion calculations has signalled that the price is re-entering the green cloud, suggesting a potential bullish continuation after the bounce.
In my indicator, the mean is not an arbitrary moving average: it is the Kijun equilibrium itself. I apply OU to the deviation x = price − kijun, estimate a reversion strength (κ/kappa), and convert the deviation into a z-like score.
The result is very “Japanese” in spirit: the model isn’t saying “price is random”; it’s saying “price departs from balance, but balance pulls back”, and you only trust that pullback when κ is strong enough and the deviation is meaningfully stretched.
Bearish bias and Pull-Back idea
In this case, there are multiple pullbacks that may offer short opportunities, but eventually price breaks strongly through the TF baseline—at that point, it’s time to stop treating the trend as bearish-biased.
Finally, ATR is the glue that makes the bias logic practical and comparable across regimes. ATR (popularised by J. Welles Wilder in 1978) is fundamentally a volatility yardstick. Here it becomes, coupled with biased signals, the unit of measure for everything that should scale with volatility: how far price must be outside the cloud to count as “stretched”, how much spacing you require between stacked Kijuns to accept a true long/short bias, and even how far above/below price you place bias labels. In other words, the “Long Bias / Short Bias” is not just alignment across timeframes; it is alignment with enough ATR-separated structure to reduce false signals when all lines are compressed.
This isn’t one of the most advanced tools in my collection, but it can help newcomers. Be careful: despite the safeguards added, it may or may not produce consistently reliable signals. Risk management is central.
However, given its history, I wanted it to be part of my own collection of scripts with my personal mods, and I’m releasing it for free to the community.
by Oberlunar 👁★
