IV Rank as a Label (Top Right)IV Rank (HV Proxy) – Label
Displays an IV Rank–style metric using Historical Volatility (HV) as a proxy, since TradingView Pine Script does not provide access to true per-strike implied volatility or IV Rank.
The script:
Calculates annualized Historical Volatility (HV) from price returns
Ranks current HV relative to its lookback range (default 252 bars)
Displays the result as a clean, color-coded label in the top-right corner
Color logic:
🟢 Green: Low volatility regime (IV Rank < 20)
🟡 Yellow: Neutral volatility regime (20–50)
🔴 Red: High volatility regime (> 50)
This tool is intended for options context awareness, risk framing, and volatility regime identification, not as a substitute for broker-provided IV Rank.
Best used alongside:
Options chain implied volatility
Delta / extrinsic value
Time-to-expiration analysis
Note: This indicator does not use true implied volatility data.
ความผันผวน
Long Short Trading System With TableSmart Trading System Pro is an advanced TradingView indicator designed for precision and clarity.
It combines Order Blocks, Liquidity Zones, EMA trend alignment, MACD, RSI, Volume, and ATR-based risk management to generate high-quality LONG / SHORT signals.
🔹 Clear trade direction
🔹 Smart entry, stop-loss & multi-level take-profit
🔹 Automatic risk/reward & leverage calculation
🔹 Clean visual dashboard for fast decision-making
Built for traders who value structure, confirmation, and risk control.
Best suited for crypto, forex, and indices on all timeframes.
Disclaimer:
This indicator is for educational and informational purposes only and does not constitute financial advice.
Trading involves risk, and past performance does not guarantee future results.
You are solely responsible for your trading decisions and outcomes.
Kalman Hull Kijun [BackQuant]Kalman Hull Kijun
A trend baseline that merges three ideas into one clean overlay, Kalman filtering for noise control, Hull-style responsiveness, and a Kijun-like Donchian midline for structure and bias.
Context and lineage
This indicator sits in the same family as two related scripts:
Kalman Price Filter
This is the foundational building block. It introduces the Kalman filter concept, a state-estimation algorithm designed to infer an underlying “true” signal from noisy measurements, originally used in aerospace guidance and later adopted across robotics, economics, and markets.
Kalman Hull Supertrend
This is the original script made, which people loved. So it inspired me to create this one.
Kalman Hull Kijun uses the same core philosophy as the Supertrend variant, but instead of building a Supertrend band system, it produces a single structural baseline that behaves like a Kijun-style reference line.
What this indicator is trying to solve
Most trend baselines sit on a bad trade-off curve:
If you smooth hard, the line reacts late and misses turns.
If you react fast, the line whipsaws and tracks noise.
Kalman Hull Kijun is designed to land closer to the middle:
Cleaner than typical fast moving averages in chop.
More responsive than slow averages in directional phases.
More “structure aware” than pure averages because the baseline is range-derived (Kijun-like) after filtering.
Core idea in plain language
The plotted line is a Kijun-like baseline, but it is not built from raw candles directly.
High level flow:
Start with a chosen price stream (source input).
Reduce measurement noise using Kalman-style state estimation.
Add Hull-style responsiveness so the filtered stream stays usable for trend work.
Build a Kijun-like baseline by taking a Donchian midpoint of that filtered stream over the base period.
So the output is a single baseline that is intended to be:
Less jittery than a simple fast MA.
Less laggy than a slow MA.
More “range anchored” than standard smoothing lines.
How to read it
1) Trend and bias (the primary use)
Price above the baseline, bullish bias.
Price below the baseline, bearish bias.
Clean flips across the baseline are regime changes, especially when followed by a hold or retest.
2) Retests and dynamic structure
Treat the baseline like dynamic S/R rather than a signal generator:
In uptrends, pullbacks that respect the baseline can act as continuation context.
In downtrends, reclaim failures around the baseline can act as continuation context.
Repeated back-and-forth around the line usually means compression or chop, not clean trend.
3) Extension vs compression (using the fill)
The fill is meant to communicate “distance” and “pressure” visually:
Large separation between price and baseline suggests expansion.
Price compressing into the baseline suggests rebalancing and decision points.
Inputs and what they change
Kijun Base Period
Controls the structural memory of the baseline.
Higher values track broader swings and reduce flips.
Lower values track tighter swings and react faster.
Kalman Price Source
Defines what data the filter is estimating.
Close is usually the cleanest default.
HL2 often “feels” smoother as an average price.
High/Low sources can become more reactive and less stable depending on the market.
Measurement Noise
Think of this as the main smoothness knob:
Higher values generally produce a calmer filtered stream.
Lower values generally produce a faster, more reactive stream.
Process Noise
Think of this as adaptability:
Higher values adapt faster to changing conditions but can get twitchy.
Lower values adapt slower but stay stable.
Plotting and UI (what you see on chart)
1) Adaptive line coloring
Baseline turns bullish color when price is above it.
Baseline turns bearish color when price is below it.
This makes the state readable without extra panels.
2) Gradient “energy” fill
Bull fill appears between price and baseline when above.
Bear fill appears between price and baseline when below.
The goal is clarity on separation and control, not decoration.
3) Rim effect
A subtle band around price that only appears on the active side.
Helps highlight directional control without hiding candles.
4) Candle painting (optional)
Candles can be colored to match the current bias.
Useful for scanning many charts quickly.
Disable if you prefer raw candles.
Alerts
Long state alert when price is above the baseline.
Short state alert when price is below the baseline.
Best used as a bias or regime notification, not a standalone entry trigger.
Where it fits in a workflow
This is a context layer, it pairs well with:
Market structure tools, BOS/MSB, OBs, FVGs.
Momentum triggers that need a regime filter.
Mean reversion tools that need “do not fade trends” context.
Limitations
No baseline eliminates chop whipsaws, tuning only manages the trade-off.
Settings should not be copy pasted across assets without checking behavior.
This does not forecast, it estimates and smooths state, then expresses it as a structural baseline.
Disclaimer
Educational and informational only, not financial advice.
Not a complete trading system.
If you use it in any trading workflow, do proper backtesting, forward testing, and risk management before any live execution.
Buying Opportunity Score V2.2Buying Opportunity Indicator V2.2
What This Indicator Does
This indicator identifies potential buying opportunities during market fear and pullbacks by combining multiple technical signals into a single composite score (0-100). Higher scores indicate more fear/oversold conditions are present simultaneously.
Why These Components?
Market bottoms typically occur when multiple fear signals align. This indicator combines five complementary measurements that each capture different aspects of market stress:
1. VIX Level (30 points) - Measures implied volatility/fear. VIX spikes during selloffs as traders buy protection. Thresholds based on historical percentiles (VIX 25+ is ~85th percentile historically).
2. Price Drawdown (30 points) - Distance from 52-week high. Larger drawdowns create better risk/reward for mean reversion entries. A 10%+ drawdown from highs historically presents better entry points than buying at all-time highs.
3. RSI 14 (12 points) - Classic momentum oscillator measuring oversold conditions. RSI below 30 indicates short-term selling exhaustion.
4. Bollinger Band Position (13 points) - Statistical measure of price extension. Price below the lower band (2 standard deviations) indicates statistically unusual weakness.
5. VIX Timing (15 points) - Bonus points when VIX is declining from a recent peak. This helps avoid catching falling knives by waiting for fear to subside.
How The Score Works
- Each component contributes points based on severity
- Components are weighted by predictive value from historical analysis
- Score of 70+ means multiple fear signals are present
- Score of 80+ means extreme fear across most components
How To Use
1. Apply to SPY, QQQ, or IWM on daily timeframe
2. Monitor the Current Score in the statistics table
3. Scores below 50 = normal conditions, no action needed
4. Scores 60-69 = elevated fear, monitor closely
5. Scores 70+ = consider entering long positions
6. Scores 80+ = strongest historical entry points
Important Limitations
- This is a research tool, not financial advice
- Past patterns may not repeat in the future
- Signals are infrequent (typically 2-4 per year reaching 70+)
- Works best on broad market ETFs; not validated for individual stocks
- Always use proper position sizing and risk management
- The indicator identifies conditions that have historically been favorable, but cannot predict future returns
Statistics Table
The table shows:
- Current Score with context message
- Chart Results: Rolling 1Y/3Y/5Y statistics from your loaded chart data
Alerts
Multiple alert options available for different score thresholds.
Open Source
Code is fully visible for review and educational purposes.
EDMR Index (Event Driven Mean Reversion Index)EDMR Index is a market context and exhaustion indicator designed to identify short term instability, stretch, and mean reversion risk in fast intraday markets.
Rather than generating trade signals, EDMR provides a real time regime framework that helps traders understand when price action is statistically favorable and when it is not.
This is not a buy / sell indicator.
It is a context engine built to integrate seamlessly with existing strategies.
Key Features
Composite 0–100 exhaustion index
Measures:
- Price stretch from equilibrium
- Recency of extreme conditions
- Momentum deceleration
Regime-based background visualization:
- Neutral
- Developing
- Elevated
- Extreme
Thin, non-intrusive EDMR line for precise reading
Volume exhaustion markers highlighting abnormal participation
Color-coded status-line value for instant regime awareness
Fully protected, invite-only script
Why Event-Driven Context Matters
Most indicators react after conditions change.
EDMR focuses on market state, not signals — highlighting when price action is becoming unstable or statistically stretched before risk escalates.
This allows traders to:
Avoid entries during high-risk exhaustion regimes
Better time mean-reversion setups
Scale aggression up or down based on context
Stay out of overextended or unstable conditions
Intended Use
Intraday trade filtering
Mean-reversion context
Momentum exhaustion awareness
Risk modulation for discretionary strategies
Optimized for lower timeframes (1–3 minute charts).
On higher timeframes, regimes will naturally remain elevated more often. This is expected behavior with the current parameters set. Changing of parameters are available in the settings menu and individual settings may work for you on higher timeframes.
Who This Is For
✔ Traders who already have defined entries
✔ Active intraday traders and scalpers
✔ Traders who value context over signals
✖ Not a buy/sell signal
✖ Not a standalone strategy
✖ Not designed for higher-timeframe swing trading out of the box
Disclaimer
This indicator is provided for educational and informational purposes only.
It does not constitute financial advice or guarantee performance.
Trading involves risk.
EDMR Index on SPY (2-minute).Visualizes exhaustion, compression, and reversion context during high-liquidity market conditions:
EDMR applied to BTCUSD (2-minute). Designed to respond to event-driven volatility across asset classes:
Consistent behavior across index ETFs. EDMR highlights mean-reversion pressure without generating trade signals:
High-beta equity example (NVDA, 2-minute). EDMR adapts to rapid volatility expansion and contraction:
ACT Professional SuiteThis is a proprietary system architecture designed to calculate structural capacity in financial markets.
PAPER TRADING / TESTING IS RECOMMENDED BEFORE LIVE DEPLOYMENT.
█ WHAT IT IS - ONE SCRIPT; TWO ENGINES
1. TRD Engine (Macro Trend)
• BUY (Green)
• SELL (Red)
2. OPT Engine (Micro Timing)
• HOLD (Grey)
• GROWTH (Green)
• LIMIT (Orange)
• SURFING (Orange)
• SELL (Red)
█ HOW TO USE
MODE A: PASSIVE SCANNING (Default)
Use this to identify potential entries.
• WAIT: System is stable.
• LONG/SHORT: Momentum is building in a specific direction.
MODE B: ACTIVE TRADE MANAGEMENT (The Core Feature)
Once you have entered a position, check the "Activate Management Mode" box in settings. The system will now guide your exit strategy based on your defined risk parameters.
The Status Sequence:
1. HOLD: Price is moving within safe limits. (Safe)
2. STRONG GROWTH: Price movement is increasing. (Profitable)
3. LIMIT REACHED: Your defined % target is hit. (Decision Point)
4. SURFING...: The system is moving beyond the limit.
5. SELL / BREACH: The structural limit is reached. Probability of collapse is critical. Immediate exit recommended.
█ ACCESS & AUTHORIZATION
This is an Invite-Only script. Access is automated via our central hub.
whop.com
Disclaimer: This tool provides structural analysis, not financial advice. Use rationally.
POB-Purity of BreakoutThis indicator is a structure-based price framework designed to project objective market levels from a single, well-defined price range.
Unlike traditional trendlines or moving indicators, all levels produced by this tool are static, repeatable, and mathematically aligned, allowing traders to plan trades in advance rather than reacting after price moves.
This tool is not a signal generator.
It is a price framework.
Trendlines depend on how you draw them.
This framework depends on how the market is structured.
That difference is what makes it powerful.
Instruction
Update previous predmoninent high and low numbers manually of any stock/ index, and breakout levels are drawn automatically. It works in any time frame anywhere in the world.
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
TradeAxis Trendlines [BTCUSD]TradeAxis Trendlines is a rule-based trendline analysis indicator for TradingView. It automatically detects and plots filtered trendlines to help you monitor evolving structure on BTCUSD without manual drawing.
What it plots
Automatically mapped trendlines (with filtering to reduce noise)
Optional higher-timeframe structure overlays (if enabled)
Optional Position Tools
Recommended baseline
Designed/tuned for BTCUSD on the 15-minute timeframe as the baseline setup
Alerts
Built-in alert conditions are provided (configured in TradingView), including:
New trendline created
Trendline touch / interaction
Additional structure/tool events (when enabled in settings)
Inputs
Line filtering controls (e.g., slope/steepness constraints)
Visibility toggles for structure overlays
Additional parameters to help adapt the display to your workflow
TradeAxis Trendlines [ETHUSD]TradeAxis Trendlines is a rule-based trendline analysis indicator for TradingView. It automatically detects and plots filtered trendlines to help you monitor evolving structure on ETHUSD without manual drawing.
What it plots
Automatically mapped trendlines (with filtering to reduce noise)
Optional higher-timeframe structure overlays (if enabled)
Optional Position Tools
Recommended baseline
Designed/tuned for ETHUSD the 30-minute timeframe as the baseline setup
Alerts
Built-in alert conditions are provided (configured in TradingView), including:
New trendline created
Trendline touch / interaction
Additional structure/tool events (when enabled in settings)
Inputs
Line filtering controls (e.g., slope/steepness constraints)
Visibility toggles for structure overlays
Additional parameters to help adapt the display to your workflow
TradeAxis Trendlines [UKOIL]TradeAxis Trendlines is a rule-based trendline analysis indicator for TradingView. It automatically detects and plots filtered trendlines to help you monitor evolving structure on UKOIL without manual drawing.
What it plots
Automatically mapped trendlines (with filtering to reduce noise)
Optional higher-timeframe structure overlays (if enabled)
Optional Position Tools
Recommended baseline
Designed/tuned for UKOIL on the 15-minute timeframe as the baseline setup
Alerts
Built-in alert conditions are provided (configured in TradingView), including:
New trendline created
Trendline touch / interaction
Additional structure/tool events (when enabled in settings)
Inputs
Line filtering controls (e.g., slope/steepness constraints)
Visibility toggles for structure overlays
Additional parameters to help adapt the display to your workflow
TradeAxis Trendlines [XAUUSD]TradeAxis Trendlines is a rule-based trendline analysis indicator for TradingView. It automatically detects and plots filtered trendlines to help you monitor evolving structure on XAUUSD without manual drawing.
What it plots
Automatically mapped trendlines (with filtering to reduce noise)
Optional higher-timeframe structure overlays (if enabled)
Optional Position Tools
Recommended baseline
Designed/tuned for XAUUSD on the 15-minute timeframe as the baseline setup
Alerts
Built-in alert conditions are provided (configured in TradingView), including:
New trendline created
Trendline touch / interaction
Additional structure/tool events (when enabled in settings)
Inputs
Line filtering controls (e.g., slope/steepness constraints)
Visibility toggles for structure overlays
Additional parameters to help adapt the display to your workflow
Hybrid Market Score Suite - Impulse Monitor🔬 HYBRID MARKET SCORE SUITE - Impulse Monitor — Algorithmic Imbalance Scoring & Compact 28-Indicator Dashboard
Monitoring regular divergences, OB/OS zones, statistical deviations, and 28 metrics simultaneously is impractical to do manually. HMSS - Impulse Monitor updates them every tick in one compact dashboard, with an optional scoring layer.
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🎯 WHAT IS THIS
HMSS - Impulse Monitor
Performs **Real-Time Monitoring** of 28 technical metrics across 3 fixed timeframes ( 5m / 15m / 30m ) simultaneously.
It processes market data on a **tick-by-tick** basis without lookahead, designed to detect developing market imbalances and local exhaustion points as they happen.
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" — Daily Monitoring Tool
A compact table with extensive data that you use every day :
28 indicators across 3 timeframes (5m / 15m / 30m):
Divergences (9): RSI DIV, MFI DIV, CCI DIV, CMF DIV, MACD DIV, CVD DIV, DELTA RSI (DRSI) DIV, Elder DIV, STOCH DIV
OB/OS (5): RSI OB/OS, MFI OB/OS, CCI OB/OS, DRSI OB/OS, STOCH OB/OS
Z-Score (8): RSI Z-Score, MFI Z-Score, CCI Z-Score, STOCH Z-Score, DRSI Z-Score, CMF Zone, CVD Z-Score, MACD Z-Score
Special (6): Elder Force, Volume Climax, ZMO EXT, (Nadaraya Watson Envelope) NW ENV, ATR Spikes, VWAP Dev
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.
ATR Spikes: Compares the current candle range (High–Low) to the recent average ATR(14) over the last 10 bars. A spike triggers when the candle is ≥ 2.0× larger than the average — often seen during climax-like moments (sharp expansion), useful as a “caution marker” for late-move entries.
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.
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.
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
Scoring Block — Hybrid Engine (Score, Pattern, Breakdown, Attention, Trade Type, Veto)
Use it as a dashboard for quick market assessment — like a Geiger counter for market anomalies.
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🧠 SCORING SYSTEM — For Extreme Imbalances
An innovative data-driven engine that activates during moments of extreme 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 Storm Radar — it doesn't predict volatility explosions, but it "lights up" during storms and shows when the turbulence reaches its peak and begins to subside.
It is designed to assist in identifying potential impulse reversals during liquidation events, 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 28 metrics (RSI, MFI, Z-Scores, CVD, ATR Spikes, VWAP DEV, 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 impulses or 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 volatility 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 market extensions (Global Lows/Highs) where pattern coverage can approach 100% alongside statistical anomalies.
BREAKOUT: Context suggests impulse 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 overextended — which can make timing 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 hunts for invisible imbalances, the dashboard serves as your primary daily 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 three timeframes at once.
Identifying Liquidation-Driven Reversals:
The scoring system is most effective during high-impulse market movements — large liquidation cascades, stop-loss hunts, sharp imbalances. HMSS - Impulse Monitor helps spot potential exhaustion points within seconds or minutes, highlighting reaction zones during high-impulse moves.
When NOT to expect detections:
Markets can and often WILL reverse without the indicator firing. This tool is designed for high-volatility moments with significant liquidations . Reversals in low-volatility, "quiet" markets will likely occur without elevated readings.
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 an airbag — most of the time you don't need it, but when it activates, its informational value is high. It's your storm radar: particularly useful when markets enter rare and dangerous regimes.
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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 always displayed based on closed candles. For better historical detail, use candles down to 1-10 seconds.
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 - Impulse Monitor vs. HMSS - Context Engine
This script (HMSS - Impulse Monitor) is one half of a specialized two-module system. It is designed to work either as a standalone tool or alongside its companion, HMSS - Context Engine.
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 - Context Engine 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 (Micro vs. Macro): HMSS - Impulse Monitor (This Script): Designed for "Market Reaction." It monitors 5m/15m/30m specifically to detect local exhaustion, liquidation wicks, and immediate imbalances. HMSS - Context Engine (Companion): Designed for "Market Context." It analyzes 1h/4h/1D/1W structures to identify global trends and major structural pivots.
Distinct Indicator Sets: Each engine includes components better suited for its timeframe domain. HMSS - Impulse Monitor features VWAP Deviation and ATR Spikes — metrics more relevant for intraday dynamics. HMSS - Context Engine incorporates structure-oriented indicators not present here: ADX Exhaustion, OBV Divergence & Z-Score, Delta Histograms, VixFix (WVF), Basis, Williams A/D, and Pivot Distances.
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 - Impulse Monitor while appearing "Neutral" on HMSS - Context Engine if the broader trend structure remains intact — 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 (Scalp): 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 opportunity or a re-entry point.
• Major Reversal Risk: If BOTH HMSS - Impulse Monitor and HMSS - Context Engine indicate "Max Score" / "Extreme Imbalance" simultaneously — this is a rare statistical event (confluence of micro and macro 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 super-detailed history, you can go down to second-level candles, 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)
> 5 min: Not recommended — accuracy drops as intrabar price action is lost
⚠️ > 15 min: Not recommended — may exceed memory limits (TradingView constraint)
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 - Impulse Monitor 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 / 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.
Quantum Elasticity Overview: Quantum Elasticity is a sophisticated Mean Reversion Engine based on the law of statistical probability. It models market price action as an elastic system that revolves around a dynamic equilibrium point (Linear Regression).
The Core Logic: Markets are rarely efficient. When price deviates significantly from its historical mean, it creates "Statistical Tension." This script measures that tension using dynamic standard deviation envelopes (Sigma Bands).
Equilibrium: The center line represents the fair value of the asset.
Elasticity Zones: When price enters the "Extreme" bands, the probability of a snap-back towards the mean increases exponentially.
Unique Features:
Non-Lagging Linear Regression: Unlike SMA/EMA, our equilibrium line adapts to the slope of the trend without the heavy lag of traditional indicators.
Dynamic Tension Index: The built-in HUD displays the real-time elasticity of the market, helping traders identify exhaustion points.
Reversion Alerts: "REVERT" signals appear when the market reaches a 1.5x Sigma deviation, indicating a critical oversold/overbought state.
How to obtain access: This is an "Invite-only" script. To gain access, please visit my profile or send a private message for subscription details.
TradeAxis TrendlinesTradeAxis Trendlines is a rule-based trendline analysis indicator for TradingView. It automatically detects and plots filtered trendlines to help you monitor evolving structure without manual drawing.
What it plots
Automatically mapped trendlines (with filtering to reduce noise)
Optional higher-timeframe structure overlays (if enabled)
Optional Position Tools
Alerts
Built-in alert conditions are provided (configured in TradingView), including:
New trendline created
Trendline touch / interaction
Additional structure/tool events (when enabled in settings)
Inputs
Line filtering controls (e.g., slope/steepness constraints)
Visibility toggles for structure overlays
Additional parameters to help adapt the display to your workflow
ParetoCapital Volatility AlgorithmParetoCapital Volatility Algorithm — Strategy Description
This strategy is a volatility-driven breakout system designed to participate only in markets that exhibit sufficient price activity and structural clarity. All signals are evaluated on candle close to ensure stable, non-repainting behavior.
The strategy adapts its execution logic based on long-term market context while maintaining consistent risk exposure across changing volatility regimes.
Volatility Filter
Trades are taken only when current market volatility exceeds a defined baseline. This filter is intended to suppress signals during low-activity or range-bound conditions and to focus execution on periods where directional movement is more likely to persist.
Market Regime Assessment
A long-term reference is used to classify the prevailing market environment:
When price is positioned above the long-term reference, the market is treated as trend-favorable.
When price is below the reference, the market is treated as non-trend or transitional.
This classification determines how entries are structured but does not attempt to forecast direction.
Entry Logic
In trend-favorable conditions, the strategy seeks continuation trades in the direction of the prevailing trend. Entries are triggered only after price confirms strength through a breakout beyond recent levels.
In non-trend conditions, the strategy prepares for volatility expansion in either direction. Trades are initiated only when price breaks decisively beyond recent boundaries, allowing the market to determine direction.
All entries are confirmation-based and are not executed at market without prior price expansion.
Position Sizing and Risk Control
Position size is dynamically adjusted according to current market volatility. Risk per trade is kept proportional and consistent, while overall capital usage is constrained to prevent overexposure.
This approach allows the strategy to remain risk-controlled during both high- and low-volatility environments.
Exit Logic
Positions are exited when price action indicates a material loss of momentum relative to recent market structure. The exit logic is designed to tolerate minor counter-moves while responding decisively to structural weakness.
Key Characteristics
Candle-close confirmation
Non-repainting behavior
Volatility-adaptive execution
Regime-aware trade logic
Systematic risk management
Strategy Objective
The objective of this strategy is to capture a limited number of structurally strong price movements while minimizing exposure during non-productive market conditions. It prioritizes selectivity, confirmation, and risk discipline over trade frequency.
Usage Notes
The strategy is optimized for major cryptocurrencys, where volatility expansion and momentum continuation are more prevalent.
Best results have been observed on BTCUSD using the 15-minute and 30-minute timeframes.
Performance on other assets or timeframes may vary and should be evaluated through independent testing.
Volume-Based Candle ColoringDisable your Candle Borders, Body and Wicks from the Symbols Settings of your Chart to properly use this Indicator
You can Customize colors and use it to trade as per your Volume preference (Eg. You can turn all the other candles to white if you want to only Trade around breakout of Strong Volume Candles)
Comment Below to request changes
🐍🐢
kamonosukeThe stop loss is always set at the short-term resistance zone.
If there is no clear resistance level nearby, we zoom out to a higher timeframe and set the target at a key mid-to-long-term level.
Once the setup is complete, we simply wait to see if price moves as expected.
When the target is reached and broken, we take profit and close the trade.
DDDDD : EMA Pack (Matched Colors + MTF)📌 DDDDD : EMA Pack (Matched Colors + MTF)
🔹 Concept
DDDDD : EMA Pack is a clean and minimal Exponential Moving Average (EMA) overlay designed for trend structure analysis and multi-timeframe context.
This indicator focuses on visual clarity, consistent color mapping, and optional MTF EMA projection, allowing traders to read market structure without clutter or signal noise.
It is not an entry or signal generator, but a trend and regime visualization tool.
🔹 Logic
The script plots a fixed set of EMAs commonly used to define short-term momentum, intermediate trend, and long-term bias:
EMA 5
EMA 10
EMA 25
EMA 50
EMA 75
EMA 200
Each EMA is calculated using the standard exponential moving average formula.
If a higher timeframe is selected, the EMA is calculated on that timeframe and projected onto the current chart using request.security().
🔹 Methodology
Users may select:
Source price (default: close)
EMA timeframe
Empty = current chart timeframe
Any higher timeframe = true MTF EMA projection
All EMA colors are manually matched and fixed to maintain visual consistency across markets and timeframes.
Line thickness is kept uniform to avoid visual hierarchy bias.
This design ensures the indicator remains purely structural, without repainting logic, smoothing tricks, or adaptive parameters.
🔹 How to Use
Use EMA alignment and spacing to assess:
Trend direction
Trend strength
Compression vs expansion
Higher-timeframe EMA projection can be used as:
Dynamic support/resistance
Trend filter
Regime context for lower-timeframe execution
This indicator works best when combined with:
Price action
Market structure
Separate entry/exit logic of your own system
⚠️ This indicator does not provide buy/sell signals and should not be used alone for trade execution.
🔹 Notes
No repainting beyond standard MTF behavior
No performance or profitability claims
Designed for discretionary and systematic traders
Suitable for stocks, crypto, forex, and indices
R Factor Advanced Stock Activity Ranking (Experimental) R Factor (relative factor) is a custom logic based 'momentum ranking' parameter, which measures intensity of intraday momentum and volatility. This parameter compared today's activity from last 20 days activity and ranks the stocks according to the intensity of the momentum.
Why momentum ranker?
Because traditional %change sorts intraday stock which show momentum in ascending order of value of % change, for example 3%, 2.5 %, 1% etc. But momentum ranker does not use % change as a sorting parameter for top gainers, or losers. It ranks the stocks, regardless of the direction, according to the intensity it is showing. The value of the momentum ranking has no meaning of itself, just understand that higher the value of momentum ranker, the more intensity the stock is showing.
In this indicator we can only scan 40 F&O stock of Indian Stock Market. This indicator is to be used only on 5 min timeframe.
Tip: Do not change any values in the settings otherwise, the indicator won't work as expected.
Also after applying the indicator, your canvas will shrink, manually fix it by stretching from Y axis, a table will appear showing top 20 stocks. Some times the indicator will glitch & show incorrect names of stocks, refresh the Tradingview website to fix this. Best used on a PC.
Disclaimer/Warning:
This parameter is inspired by TradeFinder and is an attempt to study the momentum of the stocks. This indicator in no way attempts to copy features of the TradeFinder software, this is purely an experimental Indicator, for the people who cannot afford to buy a trading software. This indicator does not provide Buy/Sell signals or nor is an investment advice. This indicator solely for the purpose of study of price and its momentum. Users are responsible for their own actions, profit/loss of the users is not the liability of author.
TCI Time Oracle - Intraday
🟢 Green Zone — Opening & Closing Liquidity Window
Time:
Opening Green: ~9:15 – 9:30 AM
Closing Green: ~3:15 – 3:30 PM
Market Character:
Highest liquidity of the day
Overnight positions unwind / fresh positions initiate
Strong directional intent often revealed
Smart money sets the day’s bias
Trading Insight:
Best zone for trend bias identification
Option premiums react fastest here
Not ideal for late entries, but excellent for confirmation
🔵 Blue Zone — Midday Compression / Algo Control
Time: ~11:15 AM – 12:00 PM
Market Character:
Volatility contraction
Algo-driven price control
Time decay dominates options
Fake breakouts and mean reversion
Trading Insight
Worst zone for aggressive option buying
Best for range scalping or staying flat
Institutions wait, retailers get chopped
🔴 Red Zone — Institutional Expansion / Trap Zone
Time: ~1:15 PM – 2:00 PM
Market Character:
Sudden volatility expansion
Institutional orders hit the market
Trend acceleration or sharp reversal
Options see rapid delta & gamma shift
Trading Insight:
High probability trend continuation or trap creation
Strong zone for directional option trades
Requires strict risk management
Big Picture Takeaway
Green sets the intent
Blue compresses and traps
Red expands and delivers the real move
This time-zone behavior is exactly why one strategy cannot work all day. Edge comes from trading the right setup in the right time window.
ZeroDegen Mega Pro Pack v2═══════════════════════════════════════════════════════════════════════════════
ZERODEGEN MEGA PRO PACK v2 — Multi-Mode Trading System
═══════════════════════════════════════════════════════════════════════════════
Professional trading indicator with 11 modes for crypto markets. Clear BUY/SELL signals, real-time market analysis, and institutional-grade filters.
🎯 WHAT IT DOES
Analyzes price action using multi-factor confirmation:
- EMA crossovers (9/21) for trend direction
- RSI momentum filtering
- ADX trend strength validation
- Volume confirmation
- Higher timeframe bias (1H trend filter)
- Institutional concepts: Liquidity sweeps, Fair Value Gaps
Generates clear BUY and SELL signals directly on your chart with a real-time status panel showing all market conditions at a glance.
📊 11 TRADING MODES
SCALP (15m): Standard, Aggressive, Conservative
TREND (1H-4H): Standard, Cloud, Institutional
INSTITUTIONAL: Liquidity Engine
MIXED: Pro, Reversal, Auto Engine, Automation + Confidence
Switch modes with one click to match market conditions.
⚡ KEY FEATURES
✓ Clear visual BUY/SELL/EXIT signals
✓ Real-time status panel with all indicators
✓ Smart filters (Volume, ADX, ATR, Range)
✓ HTF Bias display (1H trend direction)
✓ Institutional Confidence score
✓ Works on any crypto pair
✓ TradingView alert-ready
📈 RECOMMENDED USAGE
Timeframes: 15m (scalp), 1H (swing), 4H (trend)
Markets: BTC, ETH, SOL, and other liquid crypto pairs
🔐 HOW TO GET ACCESS
Visit: xeroc00l.org
- Monthly: $59/mo
- Quarterly: $149 (save 15%)
- Lifetime: $497 (one-time)
After payment, send your TradingView username to zerocool@xeroc00l.org — access granted within 24 hours.
🚀 COMING SOON
We're actively developing additional features including bot integration, automated execution, and a private trading community. Subscribe now and get access to all future updates.
Learn more: xeroc00l.org
⚠️ LEGAL DISCLAIMER
This indicator is provided for educational and entertainment purposes only. It is not financial advice and should not be construed as a recommendation to buy, sell, or hold any cryptocurrency or financial instrument.
Trading cryptocurrencies and leveraged products involves substantial risk of loss and is not suitable for all investors. Past performance is not indicative of future results. You should not trade with money you cannot afford to lose.
The creators of ZeroDegen are not licensed financial advisors, brokers, or dealers. By using this indicator, you acknowledge that all trading decisions are your own responsibility and you agree that ZeroDegen and its creators are not liable for any losses incurred.
Always do your own research and consider consulting a licensed financial professional before making investment decisions.
© 2025 ZeroDegen | For entertainment purposes only
ITAS - Institutional Triggered Alpha SystemConcept & Originality: Standard breakout strategies often fail in the crypto market due to "fakeouts" driven by retail FOMO. ITAS (Institutional Triggered Alpha System) is a specialized quantitative system designed for SOL (Solana). Its core innovation is not the breakout itself, but the "Institutional Confirmation Layer." The script calculates the real-time arbitrage spread (Premium) between Coinbase (USD pair) and Binance (USDT pair). A trade is ONLY executed when this proprietary "Whale Monitor" confirms that US institutions are aggressively accumulating Bitcoin, which historically precedes an "Alpha Run" in high-beta assets like SOL.
Key Features & Logic:
Cross-Exchange Arbitrage Filter: The script runs a background algorithm that smooths the Coinbase-Binance price gap using a proprietary window.
Green Background: Indicates the "Institutional Bullish Zone" (Current Premium > Historical Baseline).
Logic: It filters out retail-driven pumps. We only trade when Smart Money is leading the charge.
Alpha Trigger (Volatility Breakout): Utilizes optimized Keltner Channels (tuned specifically for SOL's volatility profile) to time the entry. The system waits for a volatility expansion inside an Institutional Bullish Zone.
Dynamic Trailing Management: Features a hard-coded, ATR-based trailing stop mechanism designed to capture extended trends while protecting capital against sudden reversals.
Usage:
Target Asset: SOL/USDT (Parameters are strictly locked and optimized for Solana).
Visuals:
Green Background: Institutional Accumulation Zone (Safe to trade).
Blue/Gray Lines: Volatility Bands.
策略核心與原創性： 標準的突破策略常因散戶 FOMO 導致的假突破而虧損。ITAS (機構啟動 Alpha 系統) 是一套專為 SOL (Solana) 設計的量化交易系統。 本策略的核心創新不在於突破本身，而在於內建的**「機構確認層 (Institutional Confirmation Layer)」**。程式會即時計算 Coinbase (USD 交易對) 與 Binance (USDT 交易對) 之間的套利價差（溢價）。只有當獨家的「巨鯨監測算法」確認美國機構正在積極吸籌比特幣時，系統才會允許執行 SOL 的突破交易。
主要功能與邏輯：
跨交易所套利濾網： 程式在背景運作一套獨家演算法，對 Coinbase-Binance 的價差進行平滑處理。
綠色背景： 代表「機構看漲區域」(當前溢價 > 歷史基準線)。
邏輯： 過濾掉散戶推動的虛假拉升，我們只在聰明錢 (Smart Money) 領頭時進場。
Alpha 啟動 (波動率突破)： 使用針對 SOL 波動特性優化過的肯特納通道 (Keltner Channels) 作為進場板機。系統僅在「機構看漲區域」內等待波動率爆發。
動態追蹤管理： 內建硬編碼的 ATR 動態追蹤止損機制，旨在抓取 SOL 的長波段趨勢，同時防止利潤回吐。
用法：
適用標的： SOL/USDT (參數已針對 Solana 進行嚴格鎖定與優化)。
視覺呈現：
綠色背景： 機構吸籌區 (適合交易)。
藍/灰線： 波動率通道。
