Adaptive MACD Fusion (Dual-Core Momentum Engine)Adaptive MACD Fusion merges two complementary engines - an *Adaptive MACD Core* and a *Phase Momentum Core* - into a single self-tuning framework.
It’s built for traders who need early, stable, and volatility-aware momentum confirmation without lag or repaint.
Core Architecture
Adaptive MACD Core
Reconstructs classic MACD with z-score normalization and dynamic length adjustment driven by volatility energy.
It adapts automatically between calm and trending regimes for smoother responsiveness.
Volatility Gating System
A logistic ATR-based gate dynamically adjusts signal strength between 0.5 and 1.5.
It suppresses fake impulses during quiet markets and amplifies valid ones in breakouts.
Higher-Timeframe Confirmation
Synchronizes local momentum with higher-timeframe direction using adaptive state decay.
Avoids false reversals by maintaining trend persistence.
Phase Momentum Core
Tracks short-term acceleration/deceleration phases using adaptive EMAs with directional boosts.
Confirms valid shifts and filters market noise — acting as a zero-lag complement to MACD.
Unified Visualization Layer
Merged color logic enables viewing either MACD-only, Phase-only, or combined (Merged) signals in a single visual system.
Key Features
✅ Dual-core adaptive momentum engine
✅ Dynamic volatility weighting
✅ Regime-aware z-score normalization
✅ Persistent higher-timeframe trend memory
✅Multi-mode color & alert system
Conceptual Summary
This is not a cosmetic MACD tweak.
Adaptive MACD Fusion combines structural momentum (MACD) and phase acceleration (short-term engine) to form a coherent adaptive system.
It delivers earlier entries, smoother exits, and consistent cross-regime performance.
Disclosure
This indicator is published as *closed-source* to protect the proprietary adaptive-fusion and volatility-weighting logic.
The architecture, concepts, and functional behavior are fully described above so that traders can understand how it works, how to use it, and what makes it unique — in compliance with TradingView’s House Rules on originality and closed-source publication.
Волатильность
Multi-Period Ultimate Oscillator -> PROFABIGHI_CAPITAL🌟 Overview
The Multi-Period Ultimate Oscillator → PROFABIGHI_CAPITAL combines multiple weighted sets of the Ultimate Oscillator across varied periods to create a composite momentum gauge, blending short-term reactivity with long-term trend stability for spotting divergences and extremes.
It enables traders to filter noise through customizable weighting and smoothing, delivering consensus-driven signals for reversals and momentum shifts.
👁️ Ultimate Oscillator Sets
– Enable UO Set 1 : Toggle to activate a balanced set of short, medium, and long periods for general momentum analysis.
– Enable UO Set 2 : Toggle to include a quicker set emphasizing very recent price action for responsive signals.
– Enable UO Set 3 : Toggle to incorporate a slower set for confirming broader trends and cycles.
– Enable UO Set 4 : Toggle to add a custom-tuned set for flexible timeframe alignment.
⚖️ Weights
– Weight UO1/UO2/UO3/UO4 : Adjustable contributions from each set to the composite, allowing emphasis on faster or slower components.
👁️ Display Settings
– Smoothing Length : Period to apply EMA smoothing on the overall composite for reduced whipsaws.
– Show Individual UOs : Toggle to overlay separate oscillator lines for multi-period comparison.
📏 Levels
– Overbought Level : Threshold indicating potential selling pressure from excessive buying.
– Oversold Level : Threshold signaling potential buying opportunities from extreme weakness.
– Neutral Upper/Lower : Boundaries framing the consolidation range for directional transitions.
🎨 Colors
– Overbought/Oversold/Neutral Colors : Custom hues for zones, lines, and signals to highlight momentum states.
🔧 Ultimate Oscillator Function
The core computation weighs buying pressure against true range over short, medium, and long periods, producing a bounded oscillator that diverges from price for early reversal cues.
📈 Calculations
– Individual Oscillators : Computes each enabled set using price highs, lows, and closes for multi-period momentum.
– Weighted Composite : Blends sets by normalized weights to form a unified signal.
– Smoothing Layer : Applies EMA to the blend for trend clarity and noise reduction.
📡 Signals
– Crossover Triggers : Bullish on breaks above oversold; bearish below overbought for entry reversals.
– Midline Momentum : Positive crosses above 50 for upside acceleration; negative below for downside.
– Extreme Alerts : Deep oversold with rising momentum for strong buys; overbought with falling for sells.
– Consensus Checks : All sets above 50 for bullish alignment; below for bearish.
– Divergence Scans : Price lower lows with higher oscillator lows for bullish; opposite for bearish.
– Strength Measures : Absolute values gauge overall conviction across periods.
📉 Visualization
– Composite Line : Thick plot shifting colors by zone for instant momentum bias.
– Individual Overlays : Faint lines for active sets when enabled, showing period-specific divergences.
– Reference Lines : Dashed extremes, dotted neutrals, solid midline for threshold guidance.
– Zone Fills : Subtle shading in overbought/oversold areas for visual emphasis.
– Signal Markers : Tiny triangles at crossovers for buy/sell highlights.
📋 Information Table
– Top-Right Panel : Displays composite value and signal, individual set readings with directional tags, consensus status, and strength indicators in color-coded rows.
🔔 Alerts
– Crossover Notifications : For oversold buys or overbought sells.
– Midline Warnings : On 50-level momentum shifts.
– Extreme Flags : For deep reversals with velocity.
– Consensus Notices : When sets align above/below 50 or in extremes.
– Divergence Alerts : For bullish/bearish mismatches.
✅ Key Takeaways
– Multi-set blending delivers robust momentum without single-period lag.
– Weighting and toggles customize for scalping or swing styles.
– Consensus and divergences add confirmation layers for precision.
– Visual table and zones streamline multi-timeframe harmony.
Universal Valuation Z_score -> PROFABIGHI_CAPITAL🌟 Overview
The Universal Valuation Z-Score indicator provides a comprehensive multi-indicator valuation framework by computing Z-scores across momentum oscillators, volatility bands, and risk-adjusted metrics to assess over/undervaluation relative to historical norms. It weights these signals based on correlation strength with price, generates fair value estimates, and highlights extreme levels through color-coded candles and vertical bars for intuitive market positioning.
⚙️ General Settings
- Z-Score Lookback Period : Adjustable historical window for normalizing indicator deviations from mean
- Correlation Analysis Period : Timeframe for measuring indicator-price relationships and beta factors
- Show Threshold Lines : Toggle visibility of dynamic overbought/oversold boundaries on the chart
- Show Indicator Selection : Choose to display the composite average Z-score or a specific metric like RSI or Sharpe
- Use Price Weighting : Incorporate direct price Z-score into the final valuation blend
- Adaptive Weighting : Dynamically adjust indicator influence based on their correlation to price movements
📊 Barchoice Settings
- Overbought Threshold : Extreme upper level triggering vertical bar highlights for potential reversals
- Oversold Threshold : Extreme lower level signaling vertical bar alerts for buying opportunities
📈 RSI Configuration
- Enable RSI : Toggle inclusion of RSI Z-score in the weighted valuation
- RSI Source : Select the price input for momentum oscillation
- RSI Length : Period for calculating relative strength index deviations
📈 ROC Configuration
- Enable ROC : Include rate-of-change Z-score for momentum acceleration analysis
- ROC Period : Lookback for measuring percentage price shifts
📈 BB% Configuration
- Enable BB% : Factor in Bollinger Bands percentage Z-score for volatility positioning
- BB% Source : Data input for band-based normalization
- BB Length : Smoothing period for the central moving average
- BB Standard Deviation : Multiplier defining band width for extreme deviation detection
📈 CCI Configuration
- Enable CCI : Add Commodity Channel Index Z-score for cyclical deviation tracking
- CCI Source : Typical price or custom input for momentum extremes
- CCI Length : Period for typical price averaging and deviation
📈 Crosby Ratio Configuration
- Enable Crosby Ratio : Incorporate angle-based trend strength Z-score
- Crosby Length : Smoothing span for Heikin Ashi close and ATR comparison
📈 Sharpe Ratio Configuration
- Enable Sharpe Ratio : Include risk-adjusted return Z-score for efficiency weighting
- Sharpe Period : Window for return/volatility normalization
- Sharpe Smoothing : EMA length to stabilize efficiency readings
📈 Sortino Ratio Configuration
- Enable Sortino Ratio : Factor downside-focused efficiency Z-score
- Sortino Period : Historical scope for negative deviation analysis
- Risk-Free Rate : Benchmark yield subtracted from returns
- Sortino Smoothing : Filter for refined downside ratio
📈 Omega Ratio Configuration
- Enable Omega Ratio : Add probability-weighted gains/losses Z-score
- Omega Period : Lookback for return distribution evaluation
- Target Return : Threshold separating gains from losses
- Omega Smoothing : EMA to smooth ratio fluctuations
📏 Threshold Values
- Extreme Overbought Level : Upper Z-score boundary for strongest sell signals
- Extreme Oversold Level : Lower Z-score boundary for strongest buy signals
- Overbought Level : Moderate upper threshold for cautionary alerts
- Oversold Level : Moderate lower threshold for opportunity alerts
- Neutral Upper : Boundary separating fair value from slight overvaluation
- Neutral Lower : Boundary separating fair value from slight undervaluation
🎨 Color Settings
- Neutral Color : Default shade for balanced Z-score zones
- Overbought Color : Alert red for high valuation extremes
- Oversold Color : Alert green for low valuation extremes
- Neutral Upper Color : Subtle pink for mild overvaluation
- Neutral Lower Color : Subtle teal for mild undervaluation
- Light Overbought : Pale red for approaching overbought
- Light Oversold : Pale green for approaching oversold
- Zero Line Color : Gray reference for fair value centerline
📊 Valuation Calculation Methods
Z-Score Normalization:
- Computes standard deviations from historical means for each enabled indicator
- Standardizes diverse metrics into comparable deviation scores
- Handles insufficient data with null values for robustness
Correlation and Beta Analysis:
- Measures linear relationships between indicator Z-scores and price movements
- Calculates sensitivity (beta) for scaling deviations to price impact
- Uses rolling windows to capture evolving indicator relevance
Weighted Composite Formation:
- Applies equal or correlation-based weights to blend indicator Z-scores
- Incorporates price Z-score optionally for direct market alignment
- Adjusts via beta and absolute correlation for predictive strength
Fair Value Estimation:
- Derives mean price over lookback as central valuation anchor
- Projects expected price from composite Z-score and standard deviation
- Generates symmetric threshold bands at ±1, ±2, ±3 deviations
📈 Visual and Status Features
Z-Score Overlay Plot:
- Displays selected or average Z-score as a dynamic line on price chart
- Color gradients from neutral to extreme for instant valuation cues
- Zero line and threshold horizontals for reference boundaries
Candle Coloring:
- Tints bars based on Z-score zones for quick over/undervaluation scanning
- Applies to current bar only to avoid historical clutter
- Integrates with overlay for contextual price action review
Vertical Extreme Bars:
- Highlights bars where price wicks touch extreme Z-derived levels
- Semi-transparent backgrounds for non-intrusive alerts
- Combines price and Z-score conditions for dual confirmation
📋 Information Tables
Current Values Panel:
- Top-right summary of Z-score, price deviation, status, and fair value
- Color-codes entries matching the active Z-score zone
- Includes expected price projection for forward guidance
Correlation Matrix:
- Bottom-left grid showing indicator-price correlations and betas
- Rows for each metric with decimal precision for relationship strength
- Aids in understanding which signals drive valuation most
Price Levels Summary:
- Bottom-right ladder of Z-derived thresholds from -3 to +3 sigma
- Lists corresponding price levels for potential support/resistance
- Toggles with threshold display for integrated analysis
🔔 Alert System
- Overbought Crossover : Triggers when Z-score enters upper threshold zone
- Oversold Crossunder : Fires on Z-score dropping into lower threshold
- Price vs. Expectation Cross : Alerts on price diverging from indicator-derived target
- Extreme Wick Hits : Notifies when highs/lows breach far Z-boundaries
✅ Key Takeaways
- Holistic Valuation Tool : Blends multiple Z-scores for robust over/undervaluation signals
- Adaptive Intelligence : Correlation-weighted indicators prioritize price-relevant metrics
- Visual Simplicity : Color gradients, tables, and bars make complex analysis intuitive
- Customizable Depth : Toggle indicators and thresholds to fit any market or style
- Forward Projection : Expected prices guide targets beyond current fair value
- Risk-Aware Framework : Sharpe, Sortino, and Omega add efficiency layers to momentum
- Alert Precision : Zone crosses and wick extremes ensure timely notifications
Vol-Sensitivity Ratio: dVIX% / dSPX%Vol-Sensitivity Ratio: dVIX% / dSPX%
Hey guys — I built a custom TradingView indicator to track how reactive the VIX is to SPX moves.
It’s basically a quick visual on market fear vs. complacency, and how volatility responds in real time.
How It Works
Calculates the ratio of VIX % change ÷ SPX % change
Shows color-coded zones for market behavior:
🔴 SPX & VIX rising → Bearish divergence
🟠 Weak VIX response → Complacency
🟩 Normal inverse → Healthy market
🟣 Extreme ratio → Volatility stress
How to Use
Add the script to your TradingView chart
Choose mode → Since Session Open (intraday) or From Prior Close (swing)
Watch the ratio line, color bands, and mini dashboard (shows dVIX%, dSPX%, and ratio)
It also supports alerts for when the market enters stress, divergence, or complacency zones.
Why I Made It
@HEK often talks about VIX, VVIX, and volatility dynamics during trading.
That got me thinking about how to actually quantify the relationship instead of just “watching” it.
thanks to chatgpt I was able to turn into a visual
Now I’ll be forward-testing it in live markets and on a few prop accounts to see how useful it is in real-time conditions.
Feel free to try it out, tweak it, and share feedback or observations. Would love to see how it performs for others too.
Binary Options Fast Scalping [TradingFinder] M1 & M5 Signals🔵 Introduction
In the structure of financial markets, spiky moments and sudden price movements play a key role in Liquidity Grabs and Market Structure Resets. These movements usually occur after the accumulation of orders in Buy Side or Sell Side Liquidity zones and are accompanied by rapid breaks in the form of Break of Structure (BoS) or Change of Character (CHoCH).
At this stage, the market temporarily moves in the direction of liquidity to trigger counter orders and then enters a Retracement or Pullback phase, a point where professional traders using the Smart Money Concept (SMC) look for candle confirmation to enter with precision.
This strategy is built upon the same logic : an initial spiky move as a signal of institutional or liquidity driven algorithms, followed by a controlled pullback toward areas such as the Order Block, Fair Value Gap (FVG), or Imbalance Zone, and finally an entry based on a strong confirmation candle (Engulf, Rejection, Breaker) that defines the true direction of order flow.
This combination of price behavior, especially on lower timeframes such as M1 or M5, provides an ideal setup for fast Scalping, Micro Structure Trading, and even short term directional prediction in Binary Options Trading.
Since the main focus of this method is on identifying liquidity phases, structural confirmations, and momentum confirmation candles, the trader can design entries with high probability and logical stop loss placement using the concepts of Fractal Market Structure and Multi Timeframe Confirmation.
In the scalping version, the main objective is to capture the move toward the next liquidity pool or opposite demand and supply zone, while in the binary version, only the prediction of the next candle’s direction matters. This strategy inherently operates based on Smart Money Behavior, Liquidity Engineering, and Order Flow Dynamics, allowing the extraction of fast and profitable moves from the internal logic of market structure.
🔵 How to Use
The operational logic of this strategy is based on Liquidity Sweep, Pullback, and Confirmation Candle. The trader should first identify the initial Impulse Move, which is often accompanied by liquidity absorption around Buy Side or Sell Side Liquidity areas. After that, the market enters the Retracement phase and returns to structural zones such as the Order Block or the Fair Value Gap (FVG).
At this point, a position is taken only when a confirmation candle (Engulf, Breaker, or Rejection Candle) closes in the direction of continuation and aligns with the new structure (BOS or CHoCH). Applying this model on lower timeframes offers the highest precision for fast Scalping or for predicting the next candle’s direction in Binary Option trading.
🟣 Bullish Setup
In the bullish setup, the market first forms a spiky upward move with a sudden increase in momentum, indicating the activation of liquidity flow in the Buy Side Liquidity zone. This movement is usually accompanied by a Break of Structure (BOS) to the upside and marks the beginning of the Impulse Move phase. After this move, the price enters the Pullback phase and returns to structural areas such as the Bullish Order Block, Fair Value Gap (FVG), or Mitigation zone.
At this stage, the trader waits for a bullish confirmation candle (Bullish Engulf or Breaker Candle) to validate the end of the retracement. Entry is made at the close of the confirmation candle or on a minor pullback, with the stop loss placed below the Swing Low or below the pullback zone. The target is set at the next Buy Side Liquidity or Equal Highs. In the binary version, only the direction of the next candle matters and the entry takes place immediately after the confirmation candle.
🟣 Bearish Setup
In the bearish setup, the market first forms a spiky downward move, signaling increased selling pressure and liquidity absorption at the Sell Side Liquidity zone. This movement is accompanied by a Break of Structure (BOS) to the downside and represents the beginning of a bearish momentum phase. After the spike, the price enters the Retracement phase and returns to the Bearish Order Block or bearish Fair Value Gap zone. Within these areas, the formation of a bearish confirmation candle (Bearish Engulf, Breaker, or Rejection Candle) validates the continuation of the downtrend.
The entry is taken at the close of the confirmation candle, with the stop loss placed above the Swing High or above the pullback zone, and the target set toward the next Sell Side Liquidity or Equal Lows. In binary applications, only the direction of the next candle is considered and the confirmation candle serves as the entry trigger.
🔵 Conclusion
This strategy, by combining the principles of the Smart Money Concept, Liquidity Dynamics, and Candle Confirmation Logic, offers a precise and multi functional approach to market entry. Its core structure, identifying the initial spiky movement, waiting for a structural pullback, and entering based on a confirmation candle allows quick interpretation of institutional liquidity behavior and provides trading opportunities with high accuracy and controlled risk.
On lower timeframes, this logic becomes a powerful tool for Scalping and Micro Structure Trading, while in binary markets it delivers high success rates due to its focus on predicting the next candle’s direction. Built upon the foundations of Order Flow, Market Structure, and Fractal Liquidity Behavior, this strategy demonstrates that even in the fastest and noisiest market conditions, the order of Smart Money remains observable and exploitable.
EDGAR WHALES DETECTOR (EWD)This indicator identifies the presence of "whales" in the market — large players or institutional traders executing significant buy or sell orders. By analyzing market movements and volume patterns, it highlights moments when big players are entering or exiting positions. Use it to spot high-probability trading opportunities, understand market momentum, and follow the footsteps of institutional trading activity.
Features:
Detects whale buying and selling activity.
Visual alerts for strong market moves by big players.
Helps traders align with institutional market trends.
HoneG_ワンタッチHELP4 SUBザオプションのワンタッチ取引向けの補助ツールver4です
仮想通貨のpips換算時、変換式がイレギュラーなので、
ザオプションの現行画面仕様に合わせて作りました
ver4はラベルを用いて、スマホ画面にも対応しています。
This is ver4 of the auxiliary tool for The Option's One-Touch trading.
Since the conversion formula for cryptocurrency pips is irregular,
it was created to match The Option's current screen specifications.
ver4 uses labels and is compatible with smartphone screens.
Order Imbalance Radar
🧭 Overview
Order Imbalance Radar is a sophisticated volume–flow and imbalance detection system designed to visualize real-time shifts in buyer–seller dominance, absorption events, and market equilibrium. It combines delta-volume analysis, volatility filtering, and orderflow-style signals to help identify high-probability zones of reversal, continuation, or liquidity imbalance.
The indicator includes a top-right analytical dashboard, visual imbalance bubbles, and multiple overlays (absorption, overbought/oversold hotspots, equilibrium ribbon, liquidity sweeps, and session delta tracking).
⚙️ Core Logic & Signal Framework
1. Delta Volume Z-Score Model
Calculates delta (buy vs. sell volume) per bar based on directional close changes.
Uses a z-score normalization of delta over a user-defined lookback (zLookback) to detect statistically significant imbalances.
Highlights two tiers of imbalance:
Normal Imbalance (|z| ≥ zThresh1)
Big Imbalance (|z| ≥ zThresh2)
Filters results by requiring volume ≥ moving average × minVolMul.
Optionally limits signals to volatility squeeze conditions (via Bollinger Band width).
Visual Output:
✅ Green/red bar tints show intensity of buyer/seller imbalance.
🟢/🔴 Circle bubbles with Δ and Z-score values mark detected imbalances.
2. Absorption Detection
Detects bars where price rejects continuation despite high delta extremes, suggesting absorption of aggressive orders by passive liquidity.
Conditions:
|zΔ| exceeds absorbZ threshold
Candle body ≤ % of total range
Opposite wick ≥ % of range
Markers:
🟢 “ABSORB↑” below bars = buyer absorption (sellers absorbed)
🔴 “ABSORB↓” above bars = seller absorption (buyers absorbed)
3. OB/OS Hotspots
Integrates RSI and Bollinger Band positioning to identify volume-confirmed overbought/oversold zones.
Overbought → RSI ≥ rsiOB and price above upper band or high volume.
Oversold → RSI ≤ rsiOS and price below lower band or high volume.
Markers:
🔶 “OB” for overbought zones
🟩 “OS” for oversold zones
These can indicate short-term exhaustion points, particularly when confluenced with imbalance or absorption.
4. Liquidity Sweeps
Identifies stop-hunts / failed breakouts within recent swing lookback:
Sweep Up: Price makes a higher high but closes below previous swing → likely liquidity grab above highs.
Sweep Down: Price makes a lower low but closes above previous swing → liquidity grab below lows.
Markers:
“SW↑” (yellow) = bullish sweep
“SW↓” (yellow) = bearish sweep
5. Equilibrium Map & Ribbon
Analyzes rolling imbalance ratio (Δ / total volume) over a sliding window to gauge market equilibrium vs. imbalance bias.
Plots a dynamic ribbon above price scaled by ATR.
Ribbon color:
🟢 = buyer-dominant imbalance
🔴 = seller-dominant imbalance
Gray band marks the equilibrium zone (|imbalance| ≤ eqBand).
Fuchsia “FLIP” marker signals a change in imbalance polarity.
This provides a macro order-flow bias visualization.
6. Session Dashboard (Top-Right)
Compact dashboard showing real-time flow metrics within a defined trading session (e.g., 09:30–16:00):
Metric Description
Session Δ Total cumulative delta since session start
Bar Δ Current bar delta (buy vs. sell flow)
Bar Vol Bar volume relative to average
Absorb “BUY” / “SELL” / “—”
Hotspot “OB” / “OS” / “—”
Sweep “UP” / “DN” / “—”
Imb % / Eq Imbalance ratio & equilibrium state
Colors dynamically adapt to flow direction (green/red/fuchsia/gray).
7. CumDelta Line
Optional cumulative delta plot for continuous volume-flow tracking.
Helps confirm bias shifts and divergence vs. price.
🧩 Alerts
Pre-built alert conditions for all key events:
Buyer/Seller Imbalances
BIG Buyer/Seller Imbalances
Absorption (Buy/Sell)
Hotspot Overbought/Oversold
Liquidity Sweeps (Up/Down)
Equilibrium Flips
These allow automated alerts for advanced orderflow setups or backtesting triggers.
For More Premium Indicators please visit whop.com
FMFM60الوصف بالعربية:
هذا المؤشر متقدم ويعرض اتجاه السوق والترند بشكل واضح، ويحدد مناطق العرض والطلب (Supply & Demand) بالإضافة إلى فجوات القيمة العادلة (FVG). يوفر إشارات شراء وبيع (Call و Put) عند كسر أو اختراق المستويات الهامة. كما يحدد أهدافًا ومستويات دعم ومقاومة رئيسية. المؤشر مناسب لجميع المتداولين الراغبين في تحليل السوق بدقة واتخاذ قرارات تداول مستنيرة.
الوصف بالإنجليزية:
This is an advanced indicator that clearly displays the market direction and trend, and identifies Supply & Demand zones along with Fair Value Gaps (FVG). It provides Buy and Sell signals (Call and Put) when key levels are broken or breached. It also defines targets and major support and resistance levels. The indicator is suitable for all traders who want precise market analysis and informed trading decisions.
Fmfm50الوصف بالعربية:
هذا المؤشر متقدم ويعرض اتجاه السوق والترند بشكل واضح، ويحدد مناطق العرض والطلب (Supply & Demand) بالإضافة إلى فجوات القيمة العادلة (FVG). يوفر إشارات شراء وبيع (Call و Put) عند كسر أو اختراق المستويات الهامة. كما يحدد أهدافًا ومستويات دعم ومقاومة رئيسية. المؤشر مناسب لجميع المتداولين الراغبين في تحليل السوق بدقة واتخاذ قرارات تداول مستنيرة.
الوصف بالإنجليزية:
This is an advanced indicator that clearly displays the market direction and trend, and identifies Supply & Demand zones along with Fair Value Gaps (FVG). It provides Buy and Sell signals (Call and Put) when key levels are broken or breached. It also defines targets and major support and resistance levels. The indicator is suitable for all traders who want precise market analysis and informed trading decisions
Advanced Speedometer Gauge [PhenLabs]Advanced Speedometer Gauge
Version: PineScript™v6
📌 Description
The Advanced Speedometer Gauge is a revolutionary multi-metric visualization tool that consolidates 13 distinct trading indicators into a single, intuitive speedometer display. Instead of cluttering your workspace with multiple oscillators and panels, this gauge provides a unified interface where you can switch between different metrics while maintaining consistent visual interpretation.
Built on PineScript™ v6, the indicator transforms complex technical calculations into an easy-to-read semi-circular gauge with color-coded zones and a precision needle indicator. Each of the 13 available metrics has been carefully normalized to a 0-100 scale, ensuring that whether you’re analyzing RSI, volume trends, or volatility extremes, the visual interpretation remains consistent and intuitive.
The gauge is designed for traders who value efficiency and clarity. By consolidating multiple analytical perspectives into one compact display, you can quickly assess market conditions without the visual noise of traditional multi-indicator setups. All metrics are non-overlapping, meaning each provides unique insights into different aspects of market behavior.
🚀 Points of Innovation
13 selectable metrics covering momentum, volume, volatility, trend, and statistical analysis, all accessible through a single dropdown menu
Universal 0-100 normalization system that standardizes different indicator scales for consistent visual interpretation across all metrics
Semi-circular gauge design with 21 arc segments providing smooth precision and clear visual feedback through color-coded zones
Non-redundant metric selection ensuring each indicator provides unique market insights without analytical overlap
Advanced metrics including MFI (volume-weighted momentum), CCI (statistical deviation), Volatility Rank (extended lookback), Trend Strength (ADX-style), Choppiness Index, Volume Trend, and Price Distance from MA
Flexible positioning system with 5 chart locations, 3 size options, and fully customizable color schemes for optimal workspace integration
🔧 Core Components
Metric Selection Engine: Dropdown interface allowing instant switching between 13 different technical indicators, each with independent parameter controls
Normalization System: All metrics converted to 0-100 scale using indicator-specific algorithms that preserve the statistical significance of each measurement
Semi-Circular Gauge: Visual display using 21 arc segments arranged in curved formation with two-row thickness for enhanced visibility
Color Zone System: Three distinct zones (0-40 green, 40-70 yellow, 70-100 red) providing instant visual feedback on metric extremes
Needle Indicator: Dynamic pointer that positions across the gauge arc based on precise current metric value
Table Implementation: Professional table structure ensuring consistent positioning and rendering across different chart configurations
🔥 Key Features
RSI (Relative Strength Index): Classic momentum oscillator measuring overbought/oversold conditions with adjustable period length (default 14)
Stochastic Oscillator: Compares closing price to price range over specified period with smoothing, ideal for identifying momentum shifts
MFI (Money Flow Index): Volume-weighted RSI that combines price movement with volume to measure buying and selling pressure intensity
CCI (Commodity Channel Index): Measures statistical deviation from average price, normalized from typical -200 to +200 range to 0-100 scale
Williams %R: Alternative overbought/oversold indicator using high-low range analysis, inverted to match 0-100 scale conventions
Volume %: Current volume relative to moving average expressed as percentage, capped at 100 for extreme spikes
Volume Trend: Cumulative directional volume flow showing whether volume is flowing into up moves or down moves over specified period
ATR Percentile: Current Average True Range position within historical range using specified lookback period (default 100 bars)
Volatility Rank: Close-to-close volatility measured against extended historical range (default 252 days), differs from ATR in calculation method
Momentum: Rate of change calculation showing price movement speed, centered at 50 and normalized to 0-100 range
Trend Strength: ADX-style calculation using directional movement to quantify trend intensity regardless of direction
Choppiness Index: Measures market choppiness versus trending behavior, where high values indicate ranging markets and low values indicate strong trends
Price Distance from MA: Measures current price over-extension from moving average using standard deviation calculations
🎨 Visualization
Semi-Circular Arc Display: Curved gauge spanning from 0 (left) to 100 (right) with smooth progression and two-row thickness for visibility
Color-Coded Zones: Green zone (0-40) for low/oversold conditions, yellow zone (40-70) for neutral readings, red zone (70-100) for high/overbought conditions
Needle Indicator: Downward-pointing triangle (▼) positioned precisely at current metric value along the gauge arc
Scale Markers: Vertical line markers at 0, 25, 50, 75, and 100 positions with corresponding numerical labels below
Title Display: Merged cell showing “𓄀 PhenLabs” branding plus currently selected metric name in monospace font
Large Value Display: Current metric value shown with two decimal precision in large text directly below title
Table Structure: Professional table with customizable background color, text color, and transparency for minimal chart obstruction
📖 Usage Guidelines
Metric Selection
Select Metric: Default: RSI | Options: RSI, Stochastic, Volume %, ATR Percentile, Momentum, MFI (Money Flow), CCI (Commodity Channel), Williams %R, Volatility Rank, Trend Strength, Choppiness Index, Volume Trend, Price Distance | Choose the technical indicator you want to display on the gauge based on your current analytical needs
RSI Settings
RSI Length: Default: 14 | Range: 1+ | Controls the lookback period for RSI calculation, shorter periods increase sensitivity to recent price changes
Stochastic Settings
Stochastic Length: Default: 14 | Range: 1+ | Lookback period for stochastic calculation comparing close to high-low range
Stochastic Smooth: Default: 3 | Range: 1+ | Smoothing period applied to raw stochastic value to reduce noise and false signals
Volume Settings
Volume MA Length: Default: 20 | Range: 1+ | Moving average period used to calculate average volume for comparison with current volume
Volume Trend Length: Default: 20 | Range: 5+ | Period for calculating cumulative directional volume flow trend
ATR and Volatility Settings
ATR Length: Default: 14 | Range: 1+ | Period for Average True Range calculation used in ATR Percentile metric
ATR Percentile Lookback: Default: 100 | Range: 20+ | Historical range used to determine current ATR position as percentile
Volatility Rank Lookback (Days): Default: 252 | Range: 50+ | Extended lookback period for Volatility Rank metric using close-to-close volatility
Momentum and Trend Settings
Momentum Length: Default: 10 | Range: 1+ | Lookback period for rate of change calculation in Momentum metric
Trend Strength Length: Default: 20 | Range: 5+ | Period for directional movement calculations in ADX-style Trend Strength metric
Advanced Metric Settings
MFI Length: Default: 14 | Range: 1+ | Lookback period for Money Flow Index calculation combining price and volume
CCI Length: Default: 20 | Range: 1+ | Period for Commodity Channel Index statistical deviation calculation
Williams %R Length: Default: 14 | Range: 1+ | Lookback period for Williams %R high-low range analysis
Choppiness Index Length: Default: 14 | Range: 5+ | Period for calculating market choppiness versus trending behavior
Price Distance MA Length: Default: 50 | Range: 10+ | Moving average period used for Price Distance standard deviation calculation
Visual Customization
Position: Default: Top Right | Options: Top Left, Top Right, Bottom Left, Bottom Right, Middle Right | Controls gauge placement on chart for optimal workspace organization
Size: Default: Normal | Options: Small, Normal, Large | Adjusts overall gauge dimensions and text size for different monitor resolutions and preferences
Low Zone Color (0-40): Default: Green (#00FF00) | Customize color for low/oversold zone of gauge arc
Medium Zone Color (40-70): Default: Yellow (#FFFF00) | Customize color for neutral/medium zone of gauge arc
High Zone Color (70-100): Default: Red (#FF0000) | Customize color for high/overbought zone of gauge arc
Background Color: Default: Semi-transparent dark gray | Customize gauge background for contrast and chart integration
Text Color: Default: White (#FFFFFF) | Customize all text elements including title, value, and scale labels
✅ Best Use Cases
Quick visual assessment of market conditions when you need instant feedback on whether an asset is in extreme territory across multiple analytical dimensions
Workspace organization for traders who monitor multiple indicators but want to reduce chart clutter and visual complexity
Metric comparison by switching between different indicators while maintaining consistent visual interpretation through the 0-100 normalization
Overbought/oversold identification using RSI, Stochastic, Williams %R, or MFI depending on whether you prefer price-only or volume-weighted analysis
Volume analysis through Volume %, Volume Trend, or MFI to confirm price movements with corresponding volume characteristics
Volatility monitoring using ATR Percentile or Volatility Rank to identify expansion/contraction cycles and adjust position sizing
Trend vs range identification by comparing Trend Strength (high values = trending) against Choppiness Index (high values = ranging)
Statistical over-extension detection using CCI or Price Distance to identify when price has deviated significantly from normal behavior
Multi-timeframe analysis by duplicating the gauge on different timeframe charts to compare metric readings across time horizons
Educational purposes for new traders learning to interpret technical indicators through consistent visual representation
⚠️ Limitations
The gauge displays only one metric at a time, requiring manual switching to compare different indicators rather than simultaneous multi-metric viewing
The 0-100 normalization, while providing consistency, may obscure the raw values and specific nuances of each underlying indicator
Table-based visualization cannot be exported or saved as an image separately from the full chart screenshot
Optimal parameter settings vary by asset type, timeframe, and market conditions, requiring user experimentation for best results
💡 What Makes This Unique
Unified Multi-Metric Interface: The only gauge-style indicator offering 13 distinct metrics through a single interface, eliminating the need for multiple oscillator panels
Non-Overlapping Analytics: Each metric provides genuinely unique insights—MFI combines volume with price, CCI measures statistical deviation, Volatility Rank uses extended lookback, Trend Strength quantifies directional movement, and Choppiness Index measures ranging behavior
Universal Normalization System: All metrics standardized to 0-100 scale using indicator-appropriate algorithms that preserve statistical meaning while enabling consistent visual interpretation
Professional Visual Design: Semi-circular gauge with 21 arc segments, precision needle positioning, color-coded zones, and clean table implementation that maintains clarity across all chart configurations
Extensive Customization: Independent parameter controls for each metric, five position options, three size presets, and full color customization for seamless workspace integration
🔬 How It Works
1. Metric Calculation Phase:
All 13 metrics are calculated simultaneously on every bar using their respective algorithms with user-defined parameters
Each metric applies its own specific calculation method—RSI uses average gains vs losses, Stochastic compares close to high-low range, MFI incorporates typical price and volume, CCI measures deviation from statistical mean, ATR calculates true range, directional indicators measure up/down movement, and statistical metrics analyze price relationships
2. Normalization Process:
Each calculated metric is converted to a standardized 0-100 scale using indicator-appropriate transformations
Some metrics are naturally 0-100 (RSI, Stochastic, MFI, Williams %R), while others require scaling—CCI transforms from ±200 range, Momentum centers around 50, Volume ratio caps at 2x for 100, ATR and Volatility Rank calculate percentile positions, and Price Distance scales by standard deviations
3. Gauge Rendering:
The selected metric’s normalized value determines the needle position across 21 arc segments spanning 0-100
Each arc segment receives its color based on position—segments 0-8 are green zone, segments 9-14 are yellow zone, segments 15-20 are red zone
The needle indicator (▼) appears in row 5 at the column corresponding to the current metric value, providing precise visual feedback
4. Table Construction:
The gauge uses TradingView’s table system with merged cells for title and value display, ensuring consistent positioning regardless of chart configuration
Rows are allocated as follows: Row 0 merged for title, Row 1 merged for large value display, Row 2 for spacing, Rows 3-4 for the semi-circular arc with curved shaping, Row 5 for needle indicator, Row 6 for scale markers, Row 7 for numerical labels at 0/25/50/75/100
All visual elements update on every bar when barstate.islast is true, ensuring real-time accuracy without performance impact
💡 Note:
This indicator is designed for visual analysis and market condition assessment, not as a standalone trading system. For best results, combine gauge readings with price action analysis, support and resistance levels, and broader market context. Parameter optimization is recommended based on your specific trading timeframe and asset class. The gauge works on all timeframes but may require different parameter settings for intraday versus daily/weekly analysis. Consider using multiple instances of the gauge set to different metrics for comprehensive market analysis without switching between settings.
India VIX Based Nifty/BankNifty Range Calculator (Auto Fetch)VIX-Based Expected Daily Range (Auto Volatility Forecast)
Created by: Harshiv Symposium
📖 Purpose
This indicator automatically fetches the India VIX value and calculates the expected daily price range for major Indian indices such as Nifty and BankNifty.
It helps traders understand how much the market is likely to move today based on current volatility conditions.
Designed for educational and analytical awareness, not for signals or profit-making systems.
⚙️ Core Logic
Expected Daily Move (Range) = (India VIX × Current Index Price) ÷ Multiplier
- Multiplier for Nifty: 1000
- Multiplier for BankNifty: 700
This calculation projects the 1-standard-deviation (≈ 68% probability) and 2-standard-deviation (≈ 95% probability) movement zones for the day.
📊 Example
If India VIX = 15 and Nifty = 25,000:
Expected Move ≈ (15 × 25,000) ÷ 1000 = 375 points
Hence,
- 68% Range: 24,625 – 25,375
- 95% Range: 24,250 – 25,750
This gives traders a realistic idea of daily volatility boundaries.
🧭 Key Features
✅ Auto-Fetch India VIX
No need for manual input — automatically pulls live data from NSE:INDIAVIX.
✅ Dynamic Range Visualization
Plots upper/lower boundaries for 1σ and 2σ probability zones with shaded expected-move area.
✅ Dashboard Panel
Displays:
- Current VIX
- Expected Move (in points and %)
- Upper and Lower Ranges
✅ Smart Alerts
Alerts when price crosses upper or lower volatility range — potential breakout signal.
🎯 How It Helps
Intraday Traders:
Know the likely daily movement (e.g., ±220 pts on Nifty) and plan realistic targets or stops.
Options Traders:
Quickly assess whether it’s a seller-friendly (low VIX, small range) or buyer-friendly (high VIX, large range) session.
Risk Managers:
Use volatility context for stop-loss width and position sizing.
Breakout Traders:
If price breaks beyond the 2σ range → indicates potential volatility expansion.
💡 Interpretation Guide
Condition Market Behavior Strategy Insight
VIX ↓ ( < 14 ) Calm / Range-bound Option Selling Edge
VIX ↑ ( > 20 ) Volatile Sessions Option Buying Edge
Price within Range Stable Market Mean Reversion Setups
Price breaks Range Volatility Expansion Breakout Trades
⚠️ Disclaimer
This indicator is for educational and awareness purposes only.
It does not generate buy/sell signals or guarantee returns.
Always apply your own analysis and risk management.
Adaptive Support Resistance LineBuy until price remains above the green support line. Sell until price remains below the red resistance line. The signal is adaptive to volatility and trend to minimize trades. Relevant for securities from different asset classes across different holding periods (few ticks to few months). Inspired by Geometric Brownian Motion.
Tongo_ATR+Fixed Fibonacci levels labeling error
This all-in-one tool combines ATR analysis with classic and Fibonacci pivot levels, offering a clear visual structure for trend and volatility assessment.
The script plots ATR-based support and resistance zones, recommended stop-loss levels for both long and short strategies, and pivot levels across multiple timeframes.
Key features:
• 🔹 Adjustable ATR multiplier (range 1–4)
• 🔹 Switchable pivot type — Classic or/and Fibonacci
• 🔹 Customizable lookback period and visual layout
• 🔹 Works seamlessly across all timeframes
• 🔹 Complements other technical indicators
Volume Spike (Multi-Timeframe)Volume Spike (Multi-Timeframe)
Overview
Volume Spike (Multi-Timeframe) evaluates traded volume against its moving average on a selected timeframe so traders can identify when activity departs from recent norms.
What it does
Calculates volume on the chart timeframe or any alternate timeframe you select in the inputs.
Builds a configurable simple moving average to establish a rolling volume benchmark.
Applies distinct colors to spike and baseline volume columns to highlight deviations.
Plots the related moving-average line for reference.
Registers an alert condition when volume closes above its moving-average baseline.
How to use it
Choose the desired Volume Timeframe (leave blank to inherit the chart’s period).
Tune the Volume MA Length to balance responsiveness and noise.
Adjust the spike, base, and MA colors to align with existing chart styling.
Enable the alert condition when automated notification of spikes is needed.
Implementation notes
Timeframe selection is applied consistently to both the raw volume series and its moving average.
Color inputs allow visual adjustments without modifying code.
Alert messaging specifies that the event is a volume spike relative to the selected timeframe baseline.
Disclaimer
This indicator is designed as a technical analysis tool and should be used in conjunction with other forms of analysis and proper risk management.
Past performance does not guarantee future results, and traders should thoroughly test any strategy before implementing it with real capital.
The Vishnu ZoneInitiate Trades in the Vishnu Zone. Once the Om Vishnu Symbol appears, the chart will be likely to show some movement in either direction. This is for those who are looking for movement and not consolidation.
Kyle交易系统核心信号EA | Kyle Core Signal EA System📘 概述 | Overview
中文:
Kyle交易系统核心信号EA是一款为现代交易者打造的多功能趋势识别与自动风控系统。
它集成了 Heikin Ashi 趋势检测 + ATR 波动通道 + EMA 趋势过滤,能在价格反转早期精准捕捉多空信号,并自动绘制止损与三重止盈结构。
English:
Kyle Core Signal EA System is an all-in-one trading assistant designed for modern traders who need trend precision, risk automation, and multi-target exits.
It combines Heikin Ashi, ATR Volatility Channels, and EMA Direction Filters to deliver clean Buy/Sell signals with instant Stop Loss and 3 Take-Profit levels.
⚙️ 核心逻辑 | Core Logic
中文:
1️⃣ 趋势引擎: 通过 Heikin Ashi + ATR 计算动态通道,捕捉真实趋势反转。
2️⃣ EMA过滤: 避免虚假信号,仅在趋势方向一致时触发。
3️⃣ 风控系统: 每次信号生成后自动计算:
入场价(Entry)
止损价(Stop Loss)
三个止盈目标(TP1 / TP2 / TP3)
4️⃣ EA警报模块: 自动生成标准格式警报,可直接对接 EA / MT4 / MT5 / API 执行。
English:
1️⃣ Trend Engine: Heikin Ashi + ATR-based channel captures true reversals.
2️⃣ EMA Filter: Filters out false signals and confirms directional consistency.
3️⃣ Risk Management: Automatically calculates Entry, Stop Loss, and three layered profit targets (TP1 / TP2 / TP3).
4️⃣ EA Alert Module: Pre-formatted alerts ready for EA / MT4 / MT5 / API execution.
📊 主要功能 | Key Features
中文:
✅ 自动趋势识别(Heikin Ashi + ATR)
✅ EMA方向过滤,去除假突破
✅ 自动绘制进场、止损、止盈价位
✅ 三重止盈结构(TP1 / TP2 / TP3)
✅ 自定义ATR倍数(止损与目标)
✅ 支持警报联动EA执行
✅ 全图可视化交易结构
English:
✅ Auto Trend Recognition (Heikin Ashi + ATR)
✅ EMA Direction Filter (Noise Reduction)
✅ Entry/Stop/Target visualization
✅ Triple Take-Profit structure (TP1 / TP2 / TP3)
✅ Customizable ATR Multipliers
✅ EA-compatible alert format
✅ Full chart visualization and real-time updates
🔔 警报输出格式 | Alert Format
中文:
多头信号(LONG):
LONG|symbol=XAUUSD|zhisun=1980.5|jinchang=1985.0|price1=1987.5|price2=1990.0|price3=1993.5
空头信号(SHORT):
SHORT|symbol=XAUUSD|zhisun=1990.5|jinchang=1985.0|price1=1982.5|price2=1979.5|price3=1976.0
English:
Long Signal:
LONG|symbol=XAUUSD|zhisun=1980.5|jinchang=1985.0|price1=1987.5|price2=1990.0|price3=1993.5
Short Signal:
SHORT|symbol=XAUUSD|zhisun=1990.5|jinchang=1985.0|price1=1982.5|price2=1979.5|price3=1976.0
These messages can be directly parsed by any EA, bot, or API-based trade executor.
💡 使用建议 | Recommended Usage
中文:
🔥 推荐品种:黄金 (XAUUSD)、原油 (USOIL)、外汇 (EURUSD/GBPUSD)、加密货币 (BTC/ETH)
⏱ 推荐周期:2分钟 / 5分钟/15分钟 / 1小时
🎯 止损策略:建议 1.5 × ATR
📊 止盈策略:分批止盈(TP1 → TP3)
💡 可搭配 Supertrend、RSI、成交量指标作为辅助过滤。
English:
🔥 Best for: Gold (XAUUSD), Oil (USOIL), Forex (EURUSD/GBPUSD), Crypto (BTC/ETH)
⏱ Suggested Timeframes: 2m/5m / 15m / 1h
🎯 Stop Loss: ~1.5× ATR (default)
📊 Take Profit: Gradual scaling out (TP1 → TP3)
💡 Combine with Supertrend, RSI, or Volume for confirmation.
🧭 系统优势 | Advantages
优势 (中文) Advantages (English)
🎯 精准趋势识别 Accurate trend reversal detection
🔍 有效过滤虚假信号 EMA directional confirmation
🧮 自动风控绘制 Auto Stop/Target plotting
⚡ EA联动警报 EA-ready Alert Message Format
💎 多市场兼容 Works with Gold, Forex, Crypto
🖥️ 清晰可视化结构 Clean & structured chart layout
👤 作者介绍 | About the Author
中文:
作者 Kyle(TG: Kylexauusd)是一名专注于黄金与外汇系统交易的策略设计师。
本系统融合了量化逻辑与实盘验证,是多年趋势捕捉经验的成果。
English:
Developed by Kyle (TG: Kylexauusd) —
A professional system trader specialized in Gold & Forex strategies.
This system represents years of experience in automated and structured trading.
⚠️ 风险提示 | Disclaimer
中文:
本脚本仅供学习与策略研究,不构成任何投资建议。
实盘交易请务必做好风险控制与仓位管理。
English:
This script is for educational and research purposes only.
It does not constitute financial advice.
Trading involves risk — please manage your capital responsibly.
✨ Kyle交易系统核心信号EA | Kyle Core Signal EA System
Trade Smarter. Trade Structured.
一张图看趋势、看风控、看方向。 OANDA:XAUUSD TVC:DXY BINANCE:ETHUSDT.P BINANCE:BTCUSDT.P
Lucas' Money GlitchHere's a description you can use to publish your indicator to TradingView:
Title: Triple SuperTrend + RSI + Fib BB + Volume Oscillator
Short Description:
Advanced multi-indicator system combining three SuperTrends, RSI, Fibonacci Bollinger Bands, DEMA filter, and Volume Oscillator for precise trade entry and exit signals.
Full Description:
Overview
This comprehensive trading indicator combines multiple proven technical analysis tools to identify high-probability trade setups with built-in risk management through automated take profit levels.
Key Features
📊 Triple SuperTrend System
Uses three SuperTrend indicators with different ATR periods (10, 11, 12) and multipliers (1.0, 2.0, 3.0)
Requires all three SuperTrends to align before generating signals
Reduces false signals and confirms trend strength
📈 Volume Oscillator Filter
Calculates volume momentum using short and long-term moving averages
Requires volume oscillator to be above 20% threshold for trade entries
Ensures trades only occur during periods of strong volume activity
Displayed as a clean histogram in separate pane (green = bullish, red = bearish)
🎯 RSI Confirmation
7-period RSI must be above 50 for buy signals
RSI must be below 50 for sell signals
Prevents counter-trend entries
🌊 200 DEMA Trend Filter
Double Exponential Moving Average acts as major trend filter
Optional: Only buy above DEMA, only sell below DEMA
Can be toggled on/off based on trading style
📐 Fibonacci Bollinger Bands
Uses 2.618 Fibonacci multiplier (Golden Ratio)
200-period basis
Price touching bands triggers exit signals
Helps identify overextended moves
Entry Signals
BUY Signal (Green Triangle):
All three SuperTrends turn bullish simultaneously
RSI > 50
Price above 200 DEMA (if filter enabled)
Volume Oscillator > 20%
SELL Signal (Red Triangle):
All three SuperTrends turn bearish simultaneously
RSI < 50
Price below 200 DEMA (if filter enabled)
Volume Oscillator > 20%
Exit Signals
Automatic Exits Occur When:
Any of the three SuperTrends changes direction
Price touches Fibonacci Bollinger Band (upper or lower)
Take Profit target is reached (1.5x the distance from entry to ST1)
Exit Labels:
🟠 "TP" = Take Profit hit
🟡 "X" = SuperTrend change or BB touch
Visual Elements
Orange Line: Dynamic take profit level based on SuperTrend distance
Green/Red Lines: Three SuperTrend levels (varying opacity)
Purple Bands: Fibonacci Bollinger Bands with shaded area
Blue Line: 200 DEMA
Background Tint: Green when all bullish, red when all bearish
Volume Histogram: Separate pane showing volume oscillator
Dashboard Display
Real-time information table showing:
Current position status (Long/Short/Flat)
RSI value
Volume Oscillator percentage
Overall trend direction
Alert Conditions
Set up custom alerts for:
Buy signals
Sell signals
Take profit hits
Exit signals
Customizable Parameters
SuperTrend Settings:
Individual ATR periods and multipliers for each SuperTrend
Default: ST1(10,1.0), ST2(11,2.0), ST3(12,3.0)
Volume Oscillator:
Short length (default: 5)
Long length (default: 10)
Threshold percentage (default: 20%)
Toggle filter on/off
Other Filters:
RSI length (default: 7)
DEMA length (default: 200)
Fib BB length and multiplier
Take profit multiplier (default: 1.5x)
Best Use Cases
Trend following strategies
Swing trading
Day trading on higher timeframes (15min+)
Works on all markets: Stocks, Forex, Crypto, Futures
Notes
This is an indicator, not an automated strategy
Signals are for informational purposes only
Always practice proper risk management
Test on historical data before live trading
Works best in trending markets
ParallaxMind™️ MACD-V: Volatility Normalized Momentum Candles🚀 Award-Winning Momentum Indicator that Outperforms the Standard MACD in All Market Conditions
📈 ParallaxMind™️ MACD-V: Volatility Normalized Momentum Colored Bars with Alerts
The MACD-V (Volatility Normalized MACD) was first developed by trader Alex Spiroglou in 2015, published in a 2022 research paper, and awarded the Charles H. Dow Award for outstanding research in technical analysis.
Unlike the standard MACD, which often suffers from noisy false signals and inconsistent readings, the MACD-V introduces volatility normalization. This innovation creates a hybrid momentum tool that solves the five core limitations of the classic MACD — making signals stable across time, universally comparable across markets, and structured within a clear momentum framework.
🔑 Key Features & Benefits
Time-Stable & Cross-Market Comparable: A reading of +100 or -100 has the same meaning across decades and across assets — stocks, forex, commodities, and crypto.
Objective Momentum Framework: Levels at +150, +50, -50, and -150 create universal benchmarks to identify rallying, declining, ranging, and extreme conditions.
Alerting Capability: Built-in alerts notify you the moment momentum shifts — including crossovers, zero-line breaks, and entries into overbought/oversold zones. This ensures you never miss critical setups without constantly watching charts.
Momentum Stage Labels: Clear, automatic labels appear on your chart to define the current state of the market — Rallying, Retracing, Ranging, Declining, Rebounding, or Risk Zones. These labels cut through noise and provide instant clarity about market conditions.
With these features, the MACD-V transforms momentum analysis from subjective art into objective science, delivering cleaner entries, smarter exits, and greater confidence in any market.
ParallaxMind™️ MACD-V: Volatility Normalized Momentum w/Alerts🚀 Award-Winning Momentum Indicator that Outperforms the Standard MACD in All Market Conditions
📈 ParallaxMind™️ MACD-V: Volatility Normalized Momentum with Alerts
The MACD-V (Volatility Normalized MACD) was first developed by trader Alex Spiroglou in 2015, published in a 2022 research paper, and awarded the Charles H. Dow Award for outstanding research in technical analysis.
Unlike the standard MACD, which often suffers from noisy false signals and inconsistent readings, the MACD-V introduces volatility normalization. This innovation creates a hybrid momentum tool that solves the five core limitations of the classic MACD — making signals stable across time, universally comparable across markets, and structured within a clear momentum framework.
🔑 Key Features & Benefits
Time-Stable & Cross-Market Comparable: A reading of +100 or -100 has the same meaning across decades and across assets — stocks, forex, commodities, and crypto.
Objective Momentum Framework: Levels at +150, +50, -50, and -150 create universal benchmarks to identify rallying, declining, ranging, and extreme conditions.
Alerting Capability: Built-in alerts notify you the moment momentum shifts — including crossovers, zero-line breaks, and entries into overbought/oversold zones. This ensures you never miss critical setups without constantly watching charts.
Momentum Stage Labels: Clear, automatic labels appear on your chart to define the current state of the market — Rallying, Retracing, Ranging, Declining, Rebounding, or Risk Zones. These labels cut through noise and provide instant clarity about market conditions.
With these features, the MACD-V transforms momentum analysis from subjective art into objective science, delivering cleaner entries, smarter exits, and greater confidence in any market.
Bollinger Band ToolkitBollinger Band Toolkit
An advanced, adaptive Bollinger Band system for traders who want more context, precision, and edge.
This indicator expands on the classic Bollinger Bands by combining statistical and volatility-based methods with modern divergence and squeeze detection tools. It helps identify volatility regimes, potential breakouts, and early momentum shifts — all within one clean overlay.
🔹 Core Features
1. Adaptive Bollinger Bands (σ + ATR)
Classic 20-period bands enhanced with an ATR-based volatility adjustment, making them more responsive to true market movement rather than just price variance.
Reduces “overreacting” during chop and avoids bands collapsing too tightly during trends.
2. %B & RSI Divergence Detection
🟢 Green dots: Positive %B divergence — price makes a lower low, but %B doesn’t confirm (bullish).
🔴 Red dots: Negative %B divergence — price makes a higher high, but %B doesn’t confirm (bearish).
✚ Red/green crosses: RSI divergence confirmation — momentum fails to confirm the price’s new extreme.
These signals highlight potential reversal or slowdown zones that are often invisible to the naked eye.
3. Bollinger Band Squeeze (with Volume Filter)
Yellow squares (■) show periods when Bollinger Bands are at their narrowest relative to recent history.
Volume confirmation ensures the squeeze only triggers when both volatility and participation contract.
Often marks the “calm before the storm” — breakout potential zones.
4. Multi-Timeframe Breakout Markers
Optionally displays breakouts from higher or lower timeframes using different colors/symbols.
Lets you see when a higher timeframe band break aligns with your current chart — a strong trend continuation signal.
5. Dual- and Triple-Band Visualization (±1σ, ±2σ, ±3σ)
Optional inner (±1σ) and outer (±3σ) bands provide a layered volatility map:
Price holding between ±1σ → stable range / mean-reverting behavior
Price riding near ±2σ → trending phase, sustained momentum
Price touching or exceeding ±3σ → volatility expansion or exhaustion zone
This triple-band layout visually distinguishes normal movement from statistical extremes, helping you read when the market is balanced, expanding, or approaching its limits.
⚙️ Inputs & Customization
Choose band type (SMA/EMA/SMMA/WMA/VWMA)
Adjust deviation multiplier (σ) and ATR multiplier
Toggle individual features (divergence dots, squeeze markers, inner bands, etc.)
Multi-timeframe and colour controls for advanced users
🧠 How to Use
Watch for squeeze markers followed by a breakout bar beyond ±2σ → volatility expansion signal.
Combine divergence dots with RSI or price structure to anticipate slowdowns or reversals.
Confirm direction using multi-timeframe breakouts and volume expansion.
💬 Why It Works
This toolkit transforms qualitative chart reading (tight bands, hidden divergence) into quantitative, testable conditions — giving you objective insights that can be backtested, coded, or simply trusted in live setups.
Institutional AI-Enhanced Market StructureInstitutional AI-Enhanced Market Structure Indicator
COMPREHENSIVE DESCRIPTION
Overview and Purpose
This indicator combines institutional trading concepts (Smart Money Concepts) with a proprietary AI-inspired probability scoring system to identify high-probability trading opportunities. Unlike standard trend-following or support/resistance indicators, this tool integrates multiple institutional order flow concepts and quantifies their confluence through a dynamic scoring algorithm that adapts to market conditions.
The indicator is closed-source because it contains a unique multi-factor probability calculation engine and adaptive parameter optimization system that took extensive development and backtesting to create. The specific weighting, thresholds, and interaction between components represent proprietary intellectual property.
What Makes This Original
1. AI-Inspired Adaptive Probability Scoring System
The core innovation is a dynamic scoring algorithm that evaluates trade setups based on 6 confluence factors:
Market Structure Quality (20 points): Validates Break of Structure (BOS) or Change of Character (CHoCH) using pivot-based swing analysis
Order Flow Strength (15 points): Measures institutional volume participation relative to 20 and 50-period moving averages with standard deviation filtering
Liquidity Engineering (15 points): Detects liquidity sweeps at equal highs/lows (EQL) where retail stop losses cluster
Imbalance Presence (10 points): Identifies unfilled Fair Value Gaps (3-candle imbalances) as institutional entry zones
Market Regime Alignment (10 points): Confirms directional bias through multi-factor regime classification
Volatility Environment (5 points): Penalizes signals during high-volatility "chop" periods
Each factor is weighted based on backtested importance, and the total score (50-100%) must exceed a user-defined threshold before displaying signals. This is NOT a simple indicator mashup—the scoring system dynamically evaluates how these concepts work together in real-time.
2. Dynamic Market Regime Detection
Most indicators use static parameters. This indicator continuously classifies the market into one of four regimes using four calculations:
Trend Strength: EMA(21) vs EMA(50) divergence relative to price
Volatility Ratio: Current price standard deviation vs 50-period average
Volume Regime: Current volume vs 50-period SMA
Average Daily Range: 20-bar high-low range normalized to price
Based on these inputs, the algorithm classifies markets as:
BULL_TREND: Strong upward momentum with above-average volume
BEAR_TREND: Strong downward momentum with above-average volume
RANGING: Low trend strength with contained volatility
VOLATILE: Elevated volatility ratio above 1.5x average
The regime detection then adaptively modifies:
ATR multipliers for stop placement (2.5x in volatile, 1.2x in ranging, 1.8x in trending)
Signal probability requirements (higher in volatile conditions)
Order block decay rates
Fair value gap sensitivity
3. Institutional Order Flow Integration
The indicator detects and tracks institutional footprints through three proprietary methods:
Order Blocks: Unlike simple supply/demand zones, this uses a multi-condition filter:
Volume spike > 2.0 standard deviations above 20-period average
Large candle body > 0.8x ATR
Confirmation of Break of Structure in the same direction
Touch tracking and "tested" status when price revisits
Automatic decay after user-defined bars (prevents chart clutter)
Fair Value Gaps (Imbalances): 3-candle inefficiency detection where:
Bullish FVG: low > high AND close > high (gap between candle 0 and 2)
Bearish FVG: high < low AND close < low
Real-time fill percentage tracking as price revisits the gap
Assumes institutions will defend or fill these imbalances
Liquidity Zones: Detects equal highs/lows where retail stops cluster:
Identifies swing points within user-defined percentage threshold (default 0.3%)
Tracks "sweep" events when price spikes through then reverses (wick through level, close back inside)
Differentiates swept vs unswept liquidity for entry timing
4. Volume-Weighted Dynamic Levels
Instead of simple moving averages or static pivots, support/resistance are calculated using volume-weighted price:
Support = Σ(low × volume ) / Σ(volume ) for i=0 to 19
Resistance = Σ(high × volume ) / Σ(volume ) for i=0 to 19
This gives more weight to price levels with higher institutional participation, creating more reliable stop-loss placement when "Adaptive Stop Loss" is enabled.
5. Multi-Timeframe Confluence
The indicator queries daily timeframe data for higher-timeframe confirmation:
Daily EMA trend direction (21 vs 50)
Daily volume regime (above/below 20-period average)
Daily market regime classification
Signals only trigger when current timeframe setup aligns with daily timeframe bias, filtering out counter-trend noise.
How It Works - Technical Methodology
Market Structure Detection (Smart Money Concepts)
Uses ta.pivothigh() and ta.pivotlow() with user-defined strength (default 5 bars each side)
Stores last 50 swing highs and lows in arrays for historical reference
Break of Structure (BOS): Price closes beyond the most recent swing high (bullish) or swing low (bearish)
Change of Character (CHoCH): Price breaks counter-trend structure (low breaks above previous swing low = potential reversal)
Signal Generation Logic
A valid LONG signal requires ALL of the following:
Setup: Bullish BOS or CHoCH confirmed
Confirmation: Bullish liquidity sweep OR unfilled bullish FVG present
HTF Alignment: Daily timeframe in uptrend with above-average volume
Probability Score: AI scoring system returns ≥65% (user adjustable 50-95%)
Risk:Reward: Calculated stop (ATR-based or adaptive) allows minimum 2:1 R:R (user adjustable)
SHORT signals use inverse logic (bearish structure, bearish sweeps/FVGs, daily downtrend).
Adaptive Risk Management
Stop loss calculation adapts based on:
Current market regime (wider stops in volatile markets)
Volume-weighted support/resistance levels when "Adaptive" enabled
Minimum risk threshold (0.2% of price) to avoid over-tight stops
Take profit targets automatically calculate based on user-defined risk:reward ratio (default 2:1).
How To Use This Indicator
Initial Setup
Market Structure Group:
Start with default Swing Strength (5) for 1H-4H timeframes
Increase to 10-15 for daily timeframes
Decrease to 3 for scalping on 5-15min timeframes
AI Features Group:
Set "Signal Probability Threshold" to 65% for balanced approach
Increase to 75-80% for fewer but higher-quality signals
Lower to 60% in strong trending markets for more entries
Risk Management:
Enable "Adaptive Stop Loss" for dynamic support/resistance-based stops
Set "Minimum Risk:Reward" to 2.0 or higher (institutional standard)
Adjust ATR Length (14) based on timeframe (shorter for intraday)
Reading The Signals
Visual Elements:
Small triangles: Swing highs (red) and lows (green) - market structure pivots
Circles: Break of Structure - lime (bullish) or red (bearish)
Diamonds: Change of Character - cyan (bullish reversal) or orange (bearish reversal)
Boxes: Order blocks (green=bullish, red=bearish, yellow border=tested)
Transparent boxes: Fair Value Gaps (blue=bullish, purple=bearish)
Dashed/solid lines: Liquidity zones (purple=unswept, yellow=swept)
Large arrows: Trade signals with probability % (🔼 LONG / 🔽 SHORT)
Red/Green lines: Stop loss and take profit levels
Statistics Dashboard (top right by default):
Market Regime: Current classification (BULL_TREND, BEAR_TREND, RANGING, VOLATILE)
Volatility Ratio: Current vs average volatility (>1.5 = avoid trading)
Volume Regime: Current vs average volume (>1.2 = strong institutional participation)
Active Order Blocks: Number of untested institutional zones
Unfilled FVGs: Number of imbalances awaiting price return
Liquidity Zones: Unswept equal highs/lows (potential reversal areas)
HTF Alignment: Daily timeframe bias (confirm direction)
Last Signal Prob: Confidence score of most recent signal
Trading Strategy
For LONG Entries:
Wait for bullish BOS or CHoCH marker (circle/diamond below price)
Confirm market regime is BULL_TREND or RANGING (not VOLATILE)
Look for bullish liquidity sweep (yellow line below price) or unfilled bullish FVG (blue box)
When all align, watch for 🔼 LONG signal with probability ≥65%
Enter on signal candle close
Stop loss = red line, Take profit = green line
Monitor FVG fills and order block tests for possible early exit
For SHORT Entries:
Same logic in reverse (bearish structure, BEAR_TREND regime, bearish sweeps/FVGs, 🔽 SHORT signals)
Advanced Usage:
Order Block Confluence: Highest probability entries occur when price retraces to tested order block (yellow border) + FVG overlap
Liquidity Sweep Reversals: Best entries often follow immediate sweep (yellow line) then signal in opposite direction
Regime Filtering: Avoid trading during VOLATILE regime or when volatility ratio >1.5
HTF Confirmation: Only take signals when HTF Alignment matches direction (BULLISH for longs, BEARISH for shorts)
Customization:
Every visual element has individual toggle and color controls in settings:
Hide swing points if chart too cluttered
Disable BOS/CHoCH markers if only using order blocks
Turn off FVGs if focusing on liquidity sweeps
Customize colors to match your chart theme
Reposition dashboard to any corner
Why This Requires Closed-Source Protection
This indicator represents months of development integrating:
Proprietary probability weighting system - The specific point allocation (20/15/15/10/10/5) and interaction logic between factors is based on extensive backtesting across multiple markets and timeframes
Adaptive parameter optimization algorithms - How the indicator modifies ATR multipliers, decay rates, and thresholds based on regime detection uses proprietary mathematical relationships
Volume-weighted level calculations - The specific lookback periods and weighting formulas for dynamic support/resistance are optimized through statistical analysis
Multi-factor regime classification - The exact thresholds for trend strength (0.02), volatility ratio (1.3/1.5), and volume regime (1.0/1.2) are calibrated values
While the underlying concepts (SMC, order blocks, FVGs) are known, the integration methodology, scoring system, and adaptive algorithms are original intellectual property. An open-source version would allow immediate copying of years of development work, defeating the purpose of creating a professional-grade tool.
The detailed description above provides traders with complete transparency on WHAT the indicator does and HOW to use it effectively, without revealing the exact mathematical relationships and thresholds that make it effective.
Disclaimer
This indicator is an analytical tool for identifying potential trading opportunities based on institutional order flow concepts. It does not guarantee profits and should be used alongside proper risk management, fundamental analysis, and personal trading rules. Past performance does not indicate future results. Always use stop losses and never risk more than you can afford to lose.
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