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.
Indicadores e estratégias
Multi-Period CCI Oscillator -> PROFABIGHI_CAPITAL🌟 Overview
The Multi-Period CCI Oscillator → PROFABIGHI_CAPITAL blends multiple timeframes of the Commodity Channel Index into a weighted, smoothed composite for comprehensive momentum analysis. It helps traders detect overbought/oversold extremes, trend shifts, and consensus across fast-to-slow periods, reducing noise while highlighting directional biases.
📊 CCI Periods
– Fast CCI Length : Short-term period for capturing quick momentum swings.
– Medium CCI Length : Intermediate period for balanced trend insights.
– Slow CCI Length : Longer period for confirming sustained directions.
– Ultra Slow CCI Length : Extended period for overarching market regimes.
⚖️ Weights
– Fast/Medium/Slow/Ultra Slow Weights : Adjustable contributions to the composite, emphasizing preferred timeframes for customized sensitivity.
🛤️ Smoothing & Display
– Smoothing Length : EMA period to refine the overall composite line.
– Show Individual CCIs : Toggle to overlay separate CCI lines for component scrutiny.
📏 Levels
– Overbought/Oversold Levels : Thresholds signaling extreme momentum exhaustion.
– Neutral Upper/Lower : Boundaries defining transition zones between bull/bear biases.
🎨 Colors
– Bullish/Bearish/Neutral/Overbought/Oversold Colors : Custom tints for lines, zones, and signals to match trading themes.
📈 Signal Generation
– Composite Momentum : Weighted average of all CCIs, smoothed for clear trend velocity.
– Crossover Triggers : Bullish on breaks above oversold; bearish below overbought for reversal entries.
– Momentum Shifts : Positive crosses of zero or neutral upper for upside acceleration; negative for downside.
– Consensus Alignment : All CCIs positive for strong bullish; all negative for bearish conviction.
– Dominant Period : Identifies the strongest timeframe driving the signal for timeframe-specific focus.
– Strength Measure : Absolute composite value gauges overall momentum intensity.
📉 Visualization
– Composite Line : Thick, zone-tinted plot shifting colors by level for instant bias reads.
– Individual Overlays : Faint lines for enabled CCIs when toggled, revealing timeframe divergences.
– Reference Lines : Dashed extremes, dotted neutrals, solid zero for quick threshold checks.
– Extreme Zones : Subtle fills beyond overbought/oversold for visual warning.
– Signal Markers : Tiny triangles at crossovers for buy/sell highlights.
– Consensus Background : Faint bullish/bearish shades when periods align.
– Info Table : Top-right panel with composite value/signal, individual readings, trend, status, consensus, and dominant period.
🔔 Alerts
– Crossover Notifications : For oversold buys or overbought sells.
– Momentum Warnings : On zero or neutral shifts.
– Consensus Flags : When all periods agree on direction.
✅ Key Takeaways
– Multi-timeframe weighting creates a holistic momentum view beyond single-period noise.
– Consensus and dominance add layers for high-conviction setups.
– Custom levels and visuals adapt to any style or timeframe.
– Smoothed composite sharpens reversals while table tracks component harmony.
Inverse Fisher Transform Multi-Indicator -> PROFABIGHI_CAPITAL🌟 Overview
The Inverse Fisher Transform Multi-Indicator → PROFABIGHI_CAPITAL applies the Inverse Fisher Transform to multiple oscillators like RSI, Stochastic, CCI, Williams %R, MACD, and MFI, creating a weighted composite signal for enhanced momentum detection. It helps traders identify overbought/oversold extremes, consensus alignments, and divergences through a smoothed, probabilistic view of market strength.
👁️ Indicator Selection
– Enable RSI IFT : Toggle to incorporate RSI-transformed signals into the composite.
– Enable Stochastic IFT : Toggle to include Stochastic %K-transformed signals.
– Enable CCI IFT : Toggle to add CCI-transformed signals for cycle analysis.
– Enable Williams %R IFT : Toggle to blend Williams %R-transformed signals for momentum extremes.
– Enable MACD IFT : Toggle to integrate MACD-transformed signals for trend convergence.
– Enable MFI IFT : Toggle to factor in MFI-transformed signals for volume-weighted flow.
📊 Oscillator Settings
– RSI Length & IFT Length : Periods for base RSI computation and its IFT smoothing.
– Stochastic %K Length, Smoothing & IFT Length : Periods for Stochastic %K, its smoothing, and IFT application.
– CCI Length & IFT Length : Periods for CCI base and its IFT refinement.
– Williams %R Length & IFT Length : Periods for Williams %R base and IFT smoothing.
– MACD Fast/Slow Length & IFT Length : EMA periods for MACD and its IFT smoothing.
– MFI Length & IFT Length : Periods for MFI base and IFT application.
⚖️ Weights
– RSI/Stochastic/CCI/Williams %R/MACD/MFI Weights : Adjustable contributions to the composite, normalized for balanced influence.
👁️ Display Settings
– Multi-IFT Smoothing : Period to smooth the overall composite line for cleaner trends.
– Show Individual IFTs : Toggle to overlay separate transformed lines for component review.
– Show Zero Line : Toggle the central reference line for positive/negative separation.
📏 Levels
– Overbought/Oversold Levels : Thresholds for extreme momentum zones.
– Neutral Upper/Lower : Boundaries defining the consolidation range.
🎨 Colors
– Overbought/Oversold/Neutral/Bullish/Bearish Colors : Custom hues for zones, signals, and backgrounds.
🔧 Inverse Fisher Transform
The core function normalizes an oscillator's values over a lookback, smooths them, clamps to avoid extremes, then applies the mathematical transform to output a sigmoid-like signal between -1 and 1, amplifying turning points for sharper reversals.
📈 Composite Calculation
– Base Indicators : Computes raw values from selected oscillators using price, volume, and range data.
– IFT Application : Transforms each enabled oscillator individually for bounded, noise-reduced outputs.
– Weighted Blend : Averages transformed values by user weights, then smooths the result for a unified momentum gauge.
📡 Signal Analysis
– Trend & Momentum : Tracks changes in the composite for directional bias and acceleration.
– Crossover Signals : Triggers buys on oversold breaks and sells on overbought drops.
– Zero Crosses : Flags bullish shifts above zero and bearish below for equilibrium changes.
– Momentum Cues : Confirms strength in neutral zones with positive/negative velocity.
– Extreme Alerts : Highlights deep oversold/overbought with turning momentum.
– Consensus Checks : Scans for aligned bullish/bearish readings across all active components.
– Divergence Scans : Detects price-IFT mismatches over lookback periods for reversal hints.
📉 Visualization
– Composite Line : Thick, color-shifting plot for the main Multi-IFT, tinting by zone.
– Individual Overlays : Faint lines for enabled IFTs when toggled, aiding comparison.
– Reference Lines : Dashed overbought/oversold, dotted neutrals, solid zero for quick reads.
– Zone Fills : Subtle shading in extreme areas for visual emphasis.
– Signal Markers : Tiny triangles at crossovers for buy/sell points.
– Consensus Background : Faint bullish/bearish tints when components align.
– Info Table : Top-right panel listing Multi-IFT value/signal, individual readings, consensus, and dominant component.
🔔 Alerts
– Crossover Notifications : For oversold buys or overbought sells.
– Zero Cross Warnings : On equilibrium shifts.
– Momentum Triggers : For neutral zone accelerations.
– Extreme Flags : On deep reversals with velocity.
– Consensus Alerts : When all components agree on direction.
– Divergence Notices : For hidden bullish/bearish setups.
✅ Key Takeaways
– Blends multiple IFT-transformed oscillators for robust, noise-filtered momentum consensus.
– Customizable weights and toggles allow tailored focus on preferred signals.
– Sharpens reversals via Fisher math while spotting divergences for early edges.
– Visual table and zones simplify multi-indicator harmony in any timeframe.
Simple Hidden Markov Model -> PROFABIGHI_CAPITAL🌟 Overview
The Simple Hidden Markov Model → PROFABIGHI_CAPITAL indicator employs a streamlined Markov chain to infer hidden market regimes—bullish, bearish, neutral, or high volatility—drawing from key technical features for probabilistic state estimation. It aids traders in spotting momentum shifts and risk levels through smoothed probabilities and filtered signals for informed decision-making.
⚙️ Model Parameters
– Lookback Period : Adjustable window for volatility assessments and feature derivations to reflect recent dynamics.
– Volatility Threshold : Custom cutoff for spotting elevated price swings to trigger cautionary regimes.
– Momentum Period : Length for evaluating price change intensity against prior closes.
– Volume MA Period : Smoothing span for volume to identify relative activity surges.
– State Sensitivity : Confidence level required to validate regime changes and generate alerts.
📊 Feature Engineering
– Price & Return Metrics : Computes logarithmic returns and standard deviations for underlying volatility.
– Momentum & Volume Ratios : Measures price shifts over periods and volume spikes for trend and flow insights.
– Technical Overlays : Integrates RSI for extremes, MACD for divergence, and Bollinger Band positioning for range context.
– Normalized Volatility : Scales average true range by price to objectively detect swing intensity.
🎯 State Probability Calculations
– Bullish Regime : Accumulates scores from oversold conditions, positive momentum, and low-range extremes for buy potential.
– Bearish Regime : Builds from overbought signals, negative divergence, and high-range squeezes for sell bias.
– Neutral Regime : Rewards mid-range indicators, subdued divergence, and balanced positioning for consolidation.
– High Volatility Regime : Flags via threshold breaches, volatility spikes, and volume anomalies for heightened risk.
🔄 State Transition Probabilities
– Chain Smoothing : Weights fresh scores with historical states for gradual evolution in regime likelihoods.
– Dominant Selection : Picks the leading probability while preserving transition memory for persistence tracking.
🛡️ State Filtering
– Consistency Check : Demands repeated bars in a state to confirm and curb erratic flips.
– Sensitivity Gate : Enforces minimum strength for shifts to ensure reliable progression.
📈 Trading Signals
– Long Cues : Emerge on bullish regime entry with sufficient confidence for upward plays.
– Short Cues : Trigger on bearish transitions for downside targeting.
– Exit Prompts : Advise closures in neutral or volatile phases to sidestep ambiguity.
🛡️ Risk Management
– Strength Scaling : Ties position exposure to probability conviction, from aggressive in strong states to conservative in mild ones.
– Volatility Safeguard : Amplifies caution in high-swing regimes to temper sizing or pause activity.
📊 Visualization
– Regime Backgrounds : Subtle tints—green for bullish, red for bearish, yellow for neutral, purple for volatility—to denote active states.
– Probability Traces : Colored lines mapping bullish, bearish, neutral, and volatility chances against a central reference.
– State Dashboard : Compact top-right table displaying current regime, peak probability, sizing guidance, and breakdowns with dynamic hues.
🔔 Alert Conditions
– Entry Notifications : Announce bullish or bearish shifts with strength metrics for prompt positioning.
– Exit Warnings : Signal neutral or volatility onset to facilitate timely unwinds.
✅ Key Takeaways
– Blends features into probabilistic regimes for proactive market reads.
– Filtering and thresholds sharpen signals amid noise.
– Visual probabilities and table streamline regime monitoring.
– Probability-driven sizing aligns risk with conviction levels.
༒LIQUIDITY༒ 🧠 Indicator Description: ༒LIQUIDITY༒
The ༒LIQUIDITY༒ indicator visualizes a dynamic liquidity and liquidation level heatmap based on changes in Open Interest (OI) from Binance futures markets.
It highlights precise areas where clusters of leveraged LONG and SHORT positions are likely to be liquidated, offering traders a clear view of liquidity zones.
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⚙️ Key Features:
📉 Liquidity Heatmap: Displays potential liquidation levels derived from Open Interest data.
⚡ Three customizable leverage levels to detect high and low liquidation ranges.
🧩 Intrabar resolution control for multi-timeframe analysis (1m, 5m, 15m, etc.).
🎚️ Signal filtering (optional): Focus on significant Open Interest spikes only.
🎨 Progressive color gradient: Colors change according to contract size, creating a clear heatmap of risk clusters.
🔔 Built-in alerts when LONG or SHORT clusters get swept by price action.
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🧭 How to Read It:
Green/Yellow zones: Indicate areas with a high concentration of LONG liquidations, potential downside liquidity targets.
Blue/Purple zones: Show SHORT liquidation clusters, often acting as upside liquidity targets.
The more intense the color, the greater the contract volume at that price level.
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💡 Usage Tips:
Best combined with Smart Money Concepts (SMC) tools, Order Blocks, or Fair Value Gaps (FVG).
Recommended for timeframes between 5 minutes and 1 hour for optimal clarity and performance.
Adjust the scale and dispersion factor to fine-tune the map’s precision and visual clarity.
RSI with AVG MA'S -> PROFABIGHI_CAPITAL🌟 Overview
The RSI with AVG MAs → PROFABIGHI_CAPITAL indicator enhances traditional RSI analysis by layering moving averages across multiple timeframes, providing smoothed momentum signals and divergence detection for spotting overbought/oversold conditions and potential reversals. It allows traders to focus on averaged RSI values or individual components for clearer entry cues in trending or ranging markets.
⚙️ RSI & MA Settings
– RSI Period : Adjustable lookback for calculating relative strength across selected timeframes.
– MA1 Period & Type : Length and style for the first smoothing layer on RSI, with options from simple to advanced adaptive averages.
– MA2 Period & Type : Length and style for the second smoothing layer, enabling dual-filtered RSI views for reduced noise.
⏰ Timeframe Settings
– Timeframe 1, 2, 3 : Select higher timeframes to aggregate RSI and MA data, creating a multi-resolution momentum overview.
📏 Level Settings
– Long Line : Customizable threshold for bullish momentum signals based on averaged RSI crossovers.
– Short Line : Customizable threshold for bearish momentum signals, aiding quick reversal identification.
🔍 Divergence Settings
– Pivot Lookback : Bars to scan for highs/lows in price and RSI for divergence patterns.
– Label Offset : Positioning adjustment for visual divergence markers.
– Divergence Pivot Detection Length : Sensitivity control for left-side pivot confirmation to balance signals.
– Divergence Pivot Confirmation Length : Right-side delay for fewer false positives in pattern validation.
– Plot Bullish/Bearish Divergences : Toggles for displaying upward (bullish) or downward (bearish) divergence alerts.
👁️ Display Options
– Display Option : Choose to show all lines, specific MAs, raw RSI, or the total average for customized chart focus.
📊 Multi-Timeframe Calculations
The indicator computes RSI on each selected timeframe, then applies chosen moving averages to smooth values, averaging them for a consensus signal that filters single-timeframe noise. Divergences are scanned by comparing price pivots against averaged RSI extremes, highlighting mismatches for reversal potential.
📈 Signal Generation
– Momentum Crossovers : Bullish cues when averages rise above the long line; bearish when dropping below the short line.
– Overbought/Oversold Alerts : Warnings for averages crossing extreme levels like 70 or 80 for caution, and 50 for directional shifts.
– Divergence Triggers : Bullish when price hits lower lows but RSI forms higher lows; bearish on price higher highs with RSI lower highs.
🔔 Alert Conditions
– MA & Total Average Alerts : Notifications for entries into danger zones (above 70/80) or health/sell zones (below 70/50).
– RSI Pressure Alerts : Signals for overbought pressure above 70 or selling momentum below 50.
– Divergence Alerts : Specific messages for bullish or bearish patterns, including price and RSI value details.
📉 Visualization
– Averaged Lines : Color-coded plots for individual timeframes, MAs, RSI, or totals, with options to isolate views.
– Horizontal Levels : Dotted lines at standard extremes (80/70/50/35/25) and solid custom lines for long/short thresholds.
– Divergence Markers : Circle plots at pivot points, with labeled boxes detailing price/RSI comparisons for quick scans.
– Flexible Display : Toggle between full clutter or streamlined averages to suit analysis style.
✅ Key Takeaways
– Multi-timeframe RSI smoothing uncovers reliable momentum without single-frame whipsaws.
– Dual MAs and averages provide layered confirmation for crossovers and extremes.
– Built-in divergences add reversal edge, with alerts for hands-free monitoring.
– Customizable views and levels adapt to any timeframe or trading approach.
Uni Combined Oscillator (LOG + SQRT + STD) -> PROFABIGHI_CAPITAL🌟 Overview
The Universal Combined Oscillator → PROFABIGHI_CAPITAL blends three advanced transformation methods—logarithmic for percentage-based momentum, square root for volatility-tempered signals, and standard deviation for statistical deviation scoring—to deliver a unified view of market momentum, extremes, and regime shifts. Traders can toggle individual oscillators or rely on the averaged signal for spotting overbought/oversold conditions, divergences, and trend biases with customizable normalization and smoothing.
⚙️ General Settings
– Lookback Length : Adjustable period for momentum calculations and normalization across all oscillators.
– Smoothing Length : Period to apply averaging for reducing signal noise.
– Smoothing Type : Selection of moving average styles like simple, exponential, weighted, or running for signal refinement.
– Z-Score Length : Period for computing statistical deviations to flag extremes.
– Show Z-Score : Toggle to overlay Z-score lines for overbought/oversold statistical insights.
– Normalization : Choice of scaling methods like range-based, deviation-based, or ranking for consistent comparisons.
– Source : Data input, such as closing prices, for all oscillator computations.
📐 SQRT Oscillator Settings
– SQRT Method : Transformation style for price shifts, volatility measures, range data, or blended components.
– Outlier Threshold : Level to detect and cap extreme values in square root signals for stability.
📊 STD Oscillator Settings
– Standard Score Length : Period for deviation-based scoring in the standard oscillator.
– Standard Score Method : Base input like prices, returns, volume, ranges, or a mix for scoring.
– Window Type : Calculation window as fixed rolling or growing expanding for context.
– Regime Threshold : Level to categorize market states as bullish, bearish, or neutral.
👁️ Display Options
– Show Average Oscillator : Enable the blended average line for overall signal clarity.
– Show LOG Oscillator : Activate logarithmic view for momentum on percentage scales.
– Show SQRT Oscillator : Turn on square root view for smoothed volatility insights.
– Show STD Oscillator : Enable deviation scoring for statistical market reads.
– Show Components : Reveal sub-plots within oscillators for deeper breakdown.
– Only Z-Score Mode : Restrict view to Z-score overlays for focused statistical analysis.
📊 Oscillator Components & Methods
The indicator processes signals through layered transformations:
LOG Oscillator : Applies logs to price changes, rate of change, and velocity for capturing proportional momentum.
SQRT Oscillator : Uses square roots on shifts, deviations, and ranges to dampen non-linear effects.
STD Oscillator : Scores deviations from means using price or volume metrics for outlier detection.
Normalization Techniques : Scales outputs to uniform ranges via min-max, standard deviations, or percentiles.
Volatility Adjustment : Incorporates average true range to adapt signals to market swings.
Z-Score Integration : Measures extremes statistically across all views for deviation alerts.
📈 Advanced Analysis Features
LOG Momentum System:
Change & Rate Detection : Tracks logarithmic accelerations in price action.
Velocity Blending : Averages momentum elements for smoother impulse reads.
Volatility Correction : Divides by range measures to balance in choppy conditions.
SQRT Transformation System:
Safe Root Handling : Manages negative inputs for reliable non-linear scaling.
Range & Deviation Metrics : Roots highs/lows and spreads for tempered volatility.
Outlier Safeguards : Caps extremes to avoid signal distortion.
Trend Bias Layer : Adjusts for directional lean using simple averages.
STD Scoring System:
Window Flexibility : Rolls or expands deviations for tailored historical views.
Fast/Slow Blends : Weights short and long scores for adaptive smoothing.
Regime Labeling : Classifies states by threshold crosses for bias confirmation.
Divergence Scanning : Compares price and score trends for reversal hints.
📏 Signal & Normalization Control
– Smoothing Application : Layers averages to filter noise across components.
– Scaling Choices : Aligns oscillators for seamless blending and Z-score use.
– Volatility Normalization : Scales by range for condition-aware strength.
– Average Blending : Equals parts from all for consensus signal.
– Ranking Position : Places current value in historical context for relativity.
📋 Analysis Framework
Signal Generation:
Overbought Cues : Lines crossing upper bounds or positive Z-scores for sell pressure.
Oversold Cues : Dips below lower bounds or negative Z-scores for buy opportunities.
Regime Changes : Shifts in scoring to flag bullish or bearish dominance.
Divergence Flags : Mismatches between price and oscillator for potential turns.
Z-Score Management:
Extreme Bounds : Positive or negative deviations for high-conviction extremes.
Capping Mechanisms : Limits outliers in root views for steady readings.
Meta Deviations : Layered scores for broader normalized insights.
Rank Validation : Historical placement to gauge signal potency.
Risk & Filter Integration:
Range Filters : Adjusts sensitivity to swings for balanced alerts.
Equal Weighting : Consensus from components for reliable averages.
Contextual Scaling : Ties to lookback for market-relative views.
Threshold Guards : Caps for uniform analysis without spikes.
🎨 Visual Features
– Oscillator Lines : Thick blues for mains, thins for subs and Z-overlays in varied hues.
– Z-Score Traces : Fine lines tracking deviations on selected plots.
– Background Shades : Faint reds for overbought, greens for oversold, blues/grays for regimes.
– Reference Levels : Dashed zero and dotted deviation lines, plus sigma bounds.
– Info Table : Top-right panel with live values, statuses, regimes, and params in color-coded rows.
– Component Traces : Optional thins revealing inner metrics on active oscillators.
🔍 Advanced Features
– Multi-Transformation Mix : Fuses log, root, and deviation for layered perspectives.
– Scaling Variety : From range to rank for custom oscillator harmony.
– State & Mismatch Logic : Boolean tags for regimes and turn signals.
– Live Recalcs : Bar-by-bar updates for Z and outlier checks.
– Array Storage : Holds history for ranks and growing windows.
– Range Adaptation : True range tweaks for varying conditions.
– Average Styles : Diverse smoothers for tuned signal flow.
🔔 Signal Alerts & Monitoring
– Upper Cross Alerts : Triggers on breaches of overbought or positive Z-levels.
– Lower Cross Alerts : Fires on drops below oversold or negative Z-levels.
– State Shifts : Notices entry into bullish, bearish, or neutral phases.
– Mismatch Warnings : Flags price-score drifts for reversal scans.
– Extreme Events : Special notices for root outliers.
By merging logarithmic, square root, and deviation methods with statistical overlays, the Universal Combined Oscillator → PROFABIGHI_CAPITAL equips traders with a versatile momentum dashboard, blending signals for precise extremes, regimes, and divergences in TradingView.
✅ Key Takeaways
– Fuses three oscillators for holistic momentum and volatility reads.
– Z-scores and regimes cut noise with stats-driven filters.
– Table and hues streamline live oversight.
– Toggles and scalers fit any trading approach.
DM Dynamic EMA 9 DM Dynamic EMA 9 colors for strategy decisions:
Entry & Exit Logic
Long (Buy) entries
Enter long when the EMA line turns green (so candles are full-body above EMA 9).
Exit long when:
EMA line turns grey (first full-body close below EMA 9), or
EMA line turns red (confirmed down-trend).
Short (Sell) entries
Enter short when the EMA line turns red (so candles are full-body below EMA 9).
Exit short when:
EMA line turns grey (first full-body close above EMA 9), or
EMA line turns green (confirmed up-trend).
Trading Tip
You can combine this visual cue with another filter (like RSI > 50 for longs, < 50 for shorts) to avoid false transitions.
NQ Manipulation/Distribution Projections + Average RangeThis is not your typical OHLC indicator :)
Overview:
The Manipulation/Distribution Projections (OHLC Stats) indicator is a powerful tool designed to forecast potential price levels for various timeframes. It operates on a simple yet profound principle: price action within a single candle can be broken down into "manipulation" and "distribution" phases. By analyzing over 17 years of historical data for major assets in Python, this script calculates the average (mean) and typical (median) extent of these movements.
These statistical insights are then used to project key levels on your chart based on the current period's opening price, providing a statistically-grounded framework for potential support, resistance, and price targets.
Key Concepts Explained
The indicator's logic is based on how price wicks and bodies form relative to the opening price.
• Manipulation: This refers to the initial move that goes against the candle's eventual direction. For a bullish candle, it's the lower wick (the move from the open down to the low before reversing higher). For a bearish candle, it's the upper wick (the move from the open up to the high before selling off). It represents a "fake out" or a stop hunt.
• Distribution: This is the primary, directional move of the candle from the opening price. For a bullish candle, it's the distance from the open to the high. For a bearish candle, it's the distance from the open to the low. It represents the "real" intended direction of price for that period.
How It Works
This indicator does not calculate these ratios in real-time. Instead, it leverages a comprehensive statistical analysis performed externally in Python on over 17 years of OHLC data. This analysis determined the mean and median ratios for both Manipulation and Distribution movements across different timeframes and, for intraday periods, different times of day.
These pre-computed, static ratios are embedded directly into the script. When a new period begins (e.g., a new day on the Daily timeframe), the indicator:
1. Takes the opening price for that period.
2. Retrieves the corresponding pre-calculated Manipulation and Distribution ratios.
3. Applies these ratios to the opening price to project eight potential price levels:
o + / - Mean Distribution
o + / - Median Distribution
o + / - Mean Manipulation
o + / - Median Manipulation
This approach provides a stable, forward-looking set of levels for the entire duration of the trading period.
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Features
• Statistically-Derived Projections: Plots eight key price levels based on historical tendencies, providing clear potential zones for entries, exits, and stop placement.
• Selectable Timeframe: Choose to view projections for the 1H, 4H, 1D, or 1W periods directly from the settings.
• Dynamic Stats Table: A powerful, on-chart dashboard that provides real-time context. For all four timeframes (1H, 4H, 1D, 1W), it shows:
o Position: Where the current price is relative to the projected zones (e.g., "In +Manip Zone," "Below -Dist").
o Range Completed: The percentage of the historical average range that the current period has already covered.
o Current & Average Range: The current high-to-low range in points vs. the historical average.
• Historical Context: You can display levels for previous periods to see how price has interacted with them in the past.
• Full Customization: Control the color, style, and visibility of every line, label, and fill to match your chart's theme.
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How to Use
This indicator is versatile and can be integrated into various trading strategies.
• Identifying Targets & Reversal Zones: The Distribution levels (especially the zone between the median and mean) can serve as logical take-profit targets, as they represent a historical point of extension. Conversely, Manipulation levels can indicate areas where price might form a wick and reverse.
• Gauging Volatility: Use the Stats Table's "Range Completed" column to assess market conditions. If the 1D range is only 30% complete by mid-day, there may be room for significant expansion. If it's already at 150%, the market might be overextended and due for consolidation.
• Multi-Timeframe Confluence: Use the Stats Table to quickly check if the price on a lower timeframe (e.g., 1H) is approaching a significant level on a higher timeframe (e.g., 1D), adding more weight to that level.
• Defining Bias: If the price opens and holds above the Manipulation zones, it can signal a strong directional bias for the rest of the period.
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Settings
• Projection Timeframe: The primary timeframe for which to calculate and display the levels.
• Historical Periods to Show: Set to 1 for only the current period, or increase to see how levels from past periods held up.
• Timezone: Set the timezone for accurate hourly calculations (defaults to America/New_York).
• Visuals: Customize the appearance of the projection lines, labels, and the shaded zones between mean and median levels.
• Stats Table: Enable/disable the table and configure its position, size, and colors.
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Disclaimer: This indicator is for informational and educational purposes only. It does not constitute financial advice or a recommendation to buy or sell any asset. All trading involves risk, and past performance is not indicative of future results. Please do your own research and risk management.
Enjoy!
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
8/13/200 EMA Crossover ScreenerHold your Options Longer
Entry (Long):
-Daily Chart
-8 EMA crosses above 200 and 13 EMA
- Price remains above 200 EMA
-Break of Structure
EXIT/STOP:
-Stop under recent swing low
-Exit when prices crosses below 13 EMA
Why:
Keeps you trading with trend, filters noise, avoids fights with the market.
Run stock Screener with filters: Price > 200 EMA, 8 EMA > 13 EMA, 8 EMA > 200 EMA, Volume > 500,000.
Check for Buy Signal.
Visually confirm a recent swing high (a peak from the last 30 days) and verify if the price broke above it with strong volume.
Use Pine Script, modify it to create an alert of the stock that you screened.
Multi-Indicator Divergence Detector ProMulti-Indicator Divergence Detector Pro - High Quality Filter System
Overview
This advanced divergence detection tool identifies high-probability reversal opportunities by simultaneously analyzing 11 technical indicators with an intelligent quality scoring system. Unlike traditional divergence detectors that generate excessive false signals, this indicator filters divergences based on professional trading criteria to focus only on significant trend reversals.
What Makes This Original
Quality Scoring System (10-point scale): Each divergence is evaluated across 7 professional criteria including RSI extreme zones, volume confirmation, price deviation from moving averages, ATR volatility filter, and trend strength analysis
Core Indicator Weighting: Prioritizes divergences from the most reliable indicators (RSI, MACD, OBV) with additional scoring when multiple core indicators align
Customizable Filter Thresholds: Traders can adjust minimum quality scores (recommended 4-6) and individual filter parameters to match their trading style
Multi-Indicator Resonance Detection: Identifies when 3+ indicators simultaneously show divergence, significantly improving signal reliability
Key Features
Detects both regular and hidden divergences across 11 indicators: MACD, MACD Histogram, RSI, Stochastic, CCI, Momentum, OBV, VWmacd, Chaikin Money Flow, MFI, and external indicators
Real-time quality score display on chart labels (⭐ rating system)
Dedicated high-quality divergence alerts for significant signals
Configurable pivot point detection and maximum bar lookback
Clean visual presentation with customizable line styles and colors
Built on Pine Script v6 for optimal performance
How It Works
The indicator scans price action and technical indicators for divergence patterns where price makes a new high/low but the indicator fails to confirm. The quality filter then evaluates each divergence using multiple criteria:
RSI Extreme Zones (+2 points): Divergences in overbought (>70) or oversold (<30) regions are weighted higher
Volume Confirmation (+1 point): Requires volume expansion above 1.5x the 20-period average
Price Deviation (+1 point): Price must be significantly distant from MA50 (default 8%+)
Core Indicator Weight (+2 points): When RSI, MACD, and OBV show alignment
ATR Volatility (+1 point): Price movement exceeds 1.5x ATR threshold
Trend Strength (+1 point): Strong trending conditions increase reversal significance
Multi-Indicator Resonance (+1 point): 4+ indicators showing divergence simultaneously
How to Use
Apply indicator to your chart
Enable "High Quality Divergence Filter" in settings
Set minimum quality score (4 = balanced, 6 = conservative, 3 = aggressive)
Bullish divergences appear below price with upward labels
Bearish divergences appear above price with downward labels
Quality scores display as ⭐ ratings when enabled
Configure alerts for high-quality divergence notifications
Recommended Settings
Conservative Mode: Min score 6, enable all filters, 3+ indicator minimum
Balanced Mode: Min score 4 (default), standard thresholds
Aggressive Mode: Min score 3, 2+ indicator minimum
Best Practices
Use on daily or 4-hour timeframes for most reliable signals
Combine with price action confirmation (candlestick patterns, support/resistance)
Higher quality scores (6+) typically precede stronger reversals
RSI extreme zone divergences are particularly powerful at major turning points
Consider the broader market context and trend
Important Notes
This indicator is designed to identify potential reversals in established trends. It works best when strong trends show signs of exhaustion. Past performance does not guarantee future results. Always use proper risk management and confirm signals with additional analysis.
Title: Multi-Indicator Divergence Detector Pro (Quality Filter)
Category: Oscillators
Tags: divergence, RSI, MACD, OBV, reversal, quality-filter, multi-indicator, trend-reversal
Quarterly Theory True Opens by Mr. ConsistentQuarterly Theory True Opens (MTF)
This indicator plots key institutional price levels known as "True Opens" based on the principles of Quarterly Theory, as taught by Trader Daye. It is designed to identify the start of Q2 manipulation cycles across yearly, monthly, weekly, daily, and intra-day session timeframes.
The levels are drawn as clean horizontal rays and are anchored to the 1-minute timeframe, ensuring they are perfectly accurate and consistent on ANY chart timeframe you view.
🎯 Core Concepts
Each line represents the "True Open" at the start of a new Q2 cycle:
📅 Yearly True Open: The open of the first trading day of April.
🗓️ Monthly True Open: The open of the second Monday of each month.
Weekly True Open: The open of the Monday 6:00 PM EST session.
🏙️ Daily True Open: The open at Midnight EST.
⏰ Session True Opens: The open at the start of the second 90-minute quarter of each session (1:30 AM, 7:30 AM, 1:30 PM, 7:30 PM EST).
✨ Key Features
Multi-Timeframe (MTF) Accuracy: Lines are anchored to the 1-minute open price, ensuring they remain perfectly consistent on any chart timeframe (e.g., the 7:30 AM open is the same on the 5min, 1-hour, and Daily charts).
Clean Horizontal Rays: Plots clean horizontal rays that extend forward, avoiding chart clutter. Old lines are automatically removed as new ones form.
Right-Aligned Labels: Text labels are positioned on the right edge of your screen, so they are always visible and never covered by price action.
Fully Customizable: Toggle the visibility of each True Open line (Yearly, Monthly, etc.) and their labels individually in the settings. You can also customize colors and line width.
New York (EST) Timezone: All calculations are hard-coded to the America/New_York timezone for consistency.
⚙️ How to Use
Use these levels as key points of interest for potential support, resistance, or areas where price may show a significant reaction.
Observe how price interacts with these levels after they are established.
Customize the indicator in the settings (⚙️ icon) to show only the levels relevant to your trading style.
⚠️ Troubleshooting: Lines Not Showing Correctly?
If the indicator lines don't seem to plot at the correct price levels when you first add it to your chart, it's almost always a scaling issue.
Hover over the indicator's name on your chart and click the three dots (...) for "More".
Scroll down to "Pin to Scale".
Select "Pin to Right Scale" (or whichever scale your price is on). The indicator levels must be pinned to the same scale as the price to display accurately.
If it is set to "No Scale," the levels will not reflect their true price values.
This tool was developed based on the public teachings of Trader Daye. All credit for the underlying concepts of Quarterly Theory belongs to him. This indicator is for educational and analytical purposes only.
fmfm300الوصف 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.الوصف 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.الوصف 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.الوصف 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.الوصف 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.الوصف 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.الوصف 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.الوصف 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.الوصف 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.الوصف 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.الوصف 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.
Magic (ZigZag Breakout Target Projector)A ZigZag Breakout with a gap candle + A target Projecter
Om Ahmed Strategy -Unfinfished- -Educational Purposes Only-
ZigZag pivotLength = 6
REQH/L [TakingProphets]OVERVIEW
This indicator identifies and maintains liquidity reference levels derived from swing highs and swing lows, then flags Relative Equal Highs (REQH) and Relative Equal Lows (REQL) when two active levels are within a user-defined distance.
It is intended for educational study of liquidity behavior and market structure. It does not predict price, provide signals, or recommend trades.
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PURPOSE AND SCOPE
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• Provide a consistent, rule-based way to mark possible equal-high/equal-low liquidity pools.
• Help users journal, review, and study how price interacts with those pools.
• Keep charts clear by automatically managing lines/labels and optionally fading traded-through levels.
This is an indicator, not a strategy. No entries, exits, or performance claims are made.
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CONCEPTS AND DEFINITIONS
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• Swing High / Swing Low: local extrema used to seed candidate liquidity levels.
• Buyside Liquidity (BSL): swing highs (potential buy-side stops).
• Sellside Liquidity (SSL): swing lows (potential sell-side stops).
• Relative Equal Highs (REQH): two unswept highs within a small price distance.
• Relative Equal Lows (REQL): two unswept lows within a small price distance.
• Traded-Through: a level is considered taken once price trades past it (high > level for BSL, low < level for SSL).
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HOW IT WORKS (ALGORITHMIC FLOW)
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Swing Detection
• Uses built-in pivot functions with a fixed swingStrength = 1.
• On a confirmed pivot high, a BSL level is created; on a pivot low, an SSL level is created.
• Each level stores: price, bar index, line handle, label handle, and status flags.
REQH / REQL Identification
• A constant REQ_THRESHOLD = 2.0 is used to test proximity between active levels of the same side.
• For BSL (highs): when two highs are within threshold, the higher level is kept and flagged REQH; the other is removed.
• For SSL (lows): when two lows are within threshold, the lower level is kept and flagged REQL; the other is removed.
• When a level is flagged, its line is revealed in side color and its label updates to “REQH” or “REQL”.
Traded-Through Handling
• If price trades through an active level (high > BSL price, or low < SSL price), two behaviors are possible:
– If Keep Traded-Through Levels = OFF: the level is deleted.
– If ON: the level is marked traded, its color is faded (opacity ≈ 75), and the line’s extension is frozen at the trade-through bar.
Line/Label Maintenance
• Lines are created initially invisible (fully transparent). Flagging reveals the line in color.
• Labels can be shown/hidden; placement can be Left (at level start, with left offset) or Right (at current bar, with right offset).
• All active lines extend to the right as bars progress.
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KEY INPUTS
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• Buyside Level Color (default #089981)
• Sellside Level Color (default #E91E63)
• Line Style (Solid / Dashed / Dotted) and Width
• Show Labels (on/off), Label Placement (Left/Right)
• Keep Traded-Through Levels (on/off), Traded Opacity (~75)
• REQ Threshold (fixed in code at 2.0 by default; represents the max distance between two levels to be considered “relative equal”)
Note: In this version, swingStrength is fixed to 1 inside the script. If you want a user control here, I can expose it as an input.
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PRACTICAL USAGE
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• Identify potential equal-high/equal-low zones using objective proximity logic.
• Observe if those zones attract price or are traded through during your session study.
• Journal how often flagged REQH/REQL zones remain intact versus get swept.
• Combine with your own analysis and risk framework; this script is informational only.
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VISUAL BEHAVIOR AND STYLE
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• Flagged levels are plotted in side color (buyside/sellside).
• Right-placement keeps labels aligned near the most recent bar for clarity; Left-placement anchors labels near the origin index.
• When keep-traded-levels is enabled, faded color indicates the level has been traded through, while preserving the historical reference.
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LIMITATIONS AND TECHNICAL NOTES
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• Timeframe and symbol volatility will influence the usefulness of a fixed REQ threshold. For very high-priced or low-priced instruments, consider adjusting the threshold in code to suit your market’s tick/point value.
• Using swingStrength = 1 introduces more sensitivity; users who prefer fewer, stronger pivots may wish to expose this as an input and increase it.
• No look-ahead is used; pivots are confirmed using standard pivot confirmation.
• Arrays and line/label objects are bounded by max_lines_count = 500; extremely long sessions or dense markets may require reducing visual retention.
• The script does not compute performance, signals, or recommendations.
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ORIGINALITY AND VALUE
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• Implements a simple, explicit REQ proximity engine that only reveals and labels lines after they qualify as REQH/REQL, keeping charts clean.
• Provides deterministic deletion or fading behavior once levels are traded through, preserving historical context when desired.
• Uses a clear line/label management model with consistent right-extension and optional label offsets to avoid overlap.
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TERMS AND DISCLAIMER
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This indicator is provided solely for educational and informational purposes.
It does not constitute financial advice, trading signals, or a recommendation to buy or sell any instrument.
Past behavior of price structures does not guarantee future results.
Users are fully responsible for their own decisions and outcomes.
This description is self-contained and does not solicit purchases or external contact.
Mark the New York trading session hours（纽约交易时间段标注）Apply background shading for New York time.
（纽约时间背景着色）
04：00 ~ 09：00
09：00 ~ 09：30
09：30 ~ 12：00
No shading needed after 12 AM as I'll be asleep.
（12点我睡觉了就不着色了。）
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.
Daily LevelsThis indicator allows one to paste price levels from an outside source and draws lines at those levels. A level can be a line (1 price level) or a price range. It can also be identifies as a Major Level or a minor level. Individual notes can be entered at each level by placing the text in brackets (this type "{ }"). Text cannot include parentheses and dashes. Separate each day's levels with a date in brackets. Date format and bracket type bust be like this: . The lines for each level is drawn from 6pm on the prior date to 4:45pm of the date.
trader_yang_001_v1📈 指標簡介
歡迎使用這個指標！
我是 Yang，致力於打造簡單直覺、實用的交易工具，幫助交易者快速上手。
⚙️ 使用前注意事項
1.可以調整【靈敏度】參數：
請依據你的「交易標的」與「時間級別」進行回測與調整，找到最適合你的數值。
2.此指標支援快訊通知，但請注意：
有時快訊可能會在當前 K 棒尚未收盤前觸發。
理論上程式應該要在 K 棒收盤後才確認訊號，但此限制目前無法完全避免。
因此不建議直接連結 API 進行自動交易。
收到快訊時，請等 K 棒收盤並確認訊號後再進場。
💬 回饋與更新
歡迎追蹤我的 Instagram (ID：traderyang)，了解更新、版本改良與交易心得。
你的回饋對我非常重要，我會在下一個版本持續改進此工具。
🧾 版本資訊
公開版本 v1.0
© 2025 Yang — 保留所有權利
📈 About This Indicator
Welcome to this indicator!
I'm Yang, a developer focused on creating simple, intuitive, and effective tools for traders.
⚙️ Before You Start
1.You can adjust the Sensitivity parameter.
Please backtest and fine-tune it according to your trading instrument and timeframe to find the most suitable value for your setup.
2.This indicator supports alert notifications, but please note:
Alerts may occasionally trigger before the current candle fully closes.
Ideally, the script should only confirm signals after the candle close, but this limitation currently cannot be fully avoided.
Therefore, it’s not recommended to link alerts directly to an API for automated trading.
When you receive an alert, wait for the candle to close and verify the signal before taking any position.
💬 Feedback & Updates
Follow me on Instagram (ID：traderyang) for updates, new releases, and trading insights.
Your feedback is always welcome — I’ll continue improving this tool in future versions.
🧾 Version
Public Release v1.0
© 2025 Yang — All rights reserved.
MORE - MTF Open Retest Extensions [Pro]Overview
MORE- MTF Open Retest Extensions highlights what price typically does after a higher-timeframe structure break (taking out the previous candle’s high or low) and before a potential retest of the current open.
It plots percentile extension levels (above/below the broken side) that quantify how far price has historically moved prior to an open retest if a retest occurs, giving traders objective context for stretch vs. common movement around structural breaks.
Key features
• Break-aware logic: MORE activates only after the current timeframe has broken the prior candle’s high/low. No break → no extensions.
• Open-retest probabilities: Displays the empirical likelihood of retesting the current open following a break, with sensitivity to when in the interval the break occurred (early/late breaks can behave differently).
• Pre-retest extension percentiles: Five percentile bands (e.g., 25/50/75/85/95) show how far price typically extends before any open retest on the broken side.
• Multi-timeframe dashboard: Monitor multiple reference timeframes (e.g., 1h → 12h) while viewing any chart timeframe. See which breaks are active and the highest percentile reached this interval.
• Filtering & display controls: Toggle historical zones, choose zones vs. lines (or both).
• Filtering with a threshold: User can enter a threshold for the historical probability so that the open, zones, levels and dashboard only show for timeframes above this user defined input. e.g. input of 70%, zone and levels will only be drawn when the historical data was greater than or equal to this level.
• Show selected timeframe or all untested opens the dashboard is showing as "Active"
• 2 Alert types: Set for a specific timeframe to alert an activate open for retest or set a percentile level to be crossed and alert on cross.
No signals, just context: MORE is a descriptive tool for structure and stretch—use it alongside your own strategy and risk framework.
Methodology (transparency)
• MORE uses embedded statistical datasets constructed from extensive historical price behavior across multiple timeframes.
• Each dataset represents conditional empirical outcomes —specifically, how far price extended beyond a prior candle’s high/low before retesting its open on the same timeframe.
• Percentiles and probabilities are calculated from these internal data arrays, ensuring the indicator runs deterministically on TradingView with no external data connections .
• The proprietary component lies in:
The way volatility and structure are normalized across timeframes;
How conditional breaks and open-retest windows are segmented; and
How percentile extension zones are blended into continuous statistical envelopes.
• These methods and datasets are unique to LevelLogic Indicators and are not replicated from any public or open-source scripts.
• Outputs summarize historical tendencies for educational context only — they are not predictive signals .
How to use
• Pick the reference timeframe (e.g., 1H, 2H, 4H, … 12H).
• Wait for a break of the prior candle’s high/low on that timeframe—MORE then plots the pre-retest extension percentiles on the broken side.
• Use the open-retest probability as context only; combine with your own entry/management rules.
• Optionally toggle historical view to study prior intervals and how far price usually stretched before any open retest.
• Consider alerts on percentile crosses if you want notifications when price enters statistically stretched areas.
Notes
Educational/analytical tool — no signals, no performance or outcome promises.
Historical tendencies change with regime; treat outputs as context, not advice.
Non-standard bars (e.g., Heikin Ashi/Renko) are for display only.
Credits
Developed by LevelLogic Indicators to provide clear, empirical context around breaks and open-retest behavior across multiple timeframes.
Invite-only script
Only users approved by the author can access this script. Request permission per the author’s instructions.
Universal Regime Alpha Thermocline StrategyCurrents settings adapted for BTCUSD Daily timeframe
This description is written to comply with TradingView House Rules and Script Publishing Rules. It is self contained, in English first, free of advertising, and explains originality, method, use, defaults, and limitations. No external links are included. Nothing here is investment advice.
0. Publication mode and rationale
This script is published as Protected . Anyone can add and test it from the Public Library, yet the source code is not visible.
Why Protected
The engine combines three independent lenses into one regime score and then uses an adaptive centering layer and a thermo risk unit that share a common AAR measure. The exact mapping and interactions are the result of original research and extensive validation. Keeping the implementation protected preserves that work and avoids low effort clones that would fragment feedback and confuse users.
Protection supports a single maintained build for users. It reduces accidental misuse of internal functions outside their intended context which might lead to misleading results.
1. What the strategy does in one paragraph
Universal Regime Alpha Thermocline builds a single number between zero and one that answers a practical question for any market and timeframe. How aligned is current price action with a persistent directional regime right now. To answer this the script fuses three views of the tape. Directional entropy of up versus down closes to measure unanimity.
Convexity drift that rewards true geometric compounding and penalizes drag that comes from chop where arithmetic pace is high but growth is poor.
Tail imbalance that counts decisive bursts in one direction relative to typical bar amplitude. The three channels are blended, optionally confirmed by a higher timeframe, and then adaptively centered to remove local bias. Entries fire when the score clears an entry gate. Exits occur when the score mean reverts below an exit gate or when thermo stops remove risk. Position size can scale with the certainty of the signal.
2. Why it is original and useful
It mixes orthogonal evidence instead of leaning on a single family of tools. Many regime filters depend on moving averages or volatility compression. Here we add an information view from entropy, a growth view from geometric drift, and a structural view from tail imbalance.
The drift channel separates growth from speed. Arithmetic pace can look strong in whipsaw, yet geometric growth stays weak. The engine measures both and subtracts drag so that only sequences with compounding quality rise.
Tail counting is anchored to AAR which is the average absolute return of bars in the window. This makes the threshold self scaling and portable across symbols and timeframes without hand tuned constants.
Adaptive centering prevents the score from living above or below neutral for long stretches on assets with strong skew. It recovers neutrality while still allowing persistent regimes to dominate once evidence accumulates.
The same AAR unit used in the signal also sets stop distance and trail distance. Signal and risk speak the same language which makes the method portable and easier to reason about.
3. Plain language overview of the math
Log returns . The base series is r equal to the natural log of close divided by the previous close. Log return allows clean aggregation and makes growth comparisons natural.
Directional entropy . Inside the lookback we compute the proportion p of bars where r is positive. Binary entropy of p is high when the mix of up and down closes is balanced and low when one direction dominates. Intensity is one minus entropy. Directional sign is two times p minus one. The trend channel is zero point five plus one half times sign times intensity. It lives between zero and one and grows stronger as unanimity increases.
Convexity drift with drag . Arithmetic mean of r measures pace. Geometric mean of the price ratio over the window measures compounding. Drag is the positive part of arithmetic minus geometric. Drift raw equals geometric minus drag multiplier times drag. We then map drift through an arctangent normalizer scaled by AAR and a nonlinearity parameter so the result is stable and remains between zero and one.
Tail imbalance . AAR equals the average of the absolute value of r in the window. We count up tails where r is greater than aar_mult times AAR and down tails where r is less than minus aar_mult times AAR. The imbalance is their difference over their total, mapped to zero to one. This detects directional impulse flow.
Fusion and centering . A weighted average of the three channels yields the raw score. If a higher timeframe is requested, the same function is executed on that timeframe with lookahead off and blended with a weight. Finally we subtract a fraction of the rolling mean of the score to recover neutrality. The result is clipped to the zero to one band.
4. Entries, exits, and position sizing
Enter long when score is strictly greater than the entry gate. Enter short when score is strictly less than one minus the entry gate unless direction is restricted in inputs.
Exit a long when score falls below the exit gate. Exit a short when score rises above one minus the exit gate.
Thermo stops are expressed in AAR units. A long uses the maximum of an initial stop sized by the entry price and AAR and a trail stop that references the running high since entry with a separate multiple. Shorts mirror this with the running low. If the trail is disabled the initial stop is active.
Cooldown is a simple bar counter that begins when the position returns to flat. It prevents immediate re entry in churn.
Dynamic position size is optional. When enabled the order percent of equity scales between a floor and a cap as the score rises above the gate for longs or below the symmetric gate for shorts.
5. Inputs quick guide with recommended ranges
Every input has a tooltip in the script. The same guidance appears here for fast reading.
Core window . Shared lookback for entropy, drift, and tails. Start near 80 on daily charts. Try 60 to 120 on intraday and 80 to 200 for swing.
Entry threshold . Typical range 0.55 to 0.65 for trend following. Faster entries 0.50 to 0.55.
Exit threshold . Typical range 0.35 to 0.50. Lower holds longer yet gives back more.
Weight directional entropy . Starting value 0.40. Raise on markets with clean persistence.
Weight convexity drift . Starting value 0.40. Raise when compounding quality is critical.
Weight tail imbalance . Starting value 0.20. Raise on breakout prone markets.
Tail threshold vs AAR . Typical range 1.0 to 1.5 to count decisive bursts.
Drag penalty . Typical range 0.25 to 0.75. Higher punishes chop more.
Nonlinearity scale . Typical range 0.8 to 2.0. Larger compresses extremes.
AAR floor in percent . Typical range 0.0005 to 0.002 for liquid instruments. This stabilizes the math during quiet regimes.
Adaptive centering . Keep on for most symbols. Center strength 0.40 to 0.70.
Confirm timeframe optional . Leave empty to disable. If used, try a multiple between three and five of the chart timeframe with a blend weight near 0.20.
Dynamic position size . Enable if you want size to reflect certainty. Floor and cap define the percent of equity band. A practical band for many accounts is 0.5 to 2.
Cooldown bars after exit . Start at 3 on daily or slightly higher on shorter charts.
Thermo stop multiple . Start between 1.5 and 3.0 on daily. Adjust to your tolerance and symbol behavior.
Thermo trailing stop and Trail multiple . Trail on locks gains earlier. A trail multiple near 1.0 to 2.0 is common. You can keep trail off and let the exit gate handle exits.
Background heat opacity . Cosmetic. Set to taste. Zero disables it.
6. Properties used on the published chart
The example publication uses BTCUSD on the daily timeframe. The following Properties and inputs are used so everyone can reproduce the same results.
Initial capital 100000
Base currency USD
Order size 2 percent of equity coming from our risk management inputs.
Pyramiding 0
Commission 0.05 percent
Slippage 10 ticks in the publication for clarity. Users should introduce slippage in their own research.
Recalculate after order is filled off. On every tick off.
Using bar magnifier on. On bar close on.
Risk inputs on the published chart. Dynamic position size on. Size floor percent 2. Size cap percent 2. Cooldown bars after exit 3. Thermo stop multiple 2.5. Thermo trailing stop off. Trail multiple 1.
7. Visual elements and alerts
The score is painted as a subtle dot rail near the bottom. A background heat map runs from red to green to convey regime strength at a glance. A compact HUD at the top right shows current score, the three component channels, the active AAR, and the remaining cooldown. Four alerts are included. Long Setup and Short Setup on entry gates. Exit Long by Score and Exit Short by Score on exit gates. You can disable trading and use alerts only if you want the score as a risk switch inside a discretionary plan.
8. How to reproduce the example
Open a BTCUSD daily chart with regular candles.
Add the strategy and load the defaults that match the values above.
Set Properties as listed in section 6.(they are set by default) Confirm that bar magnifier is on and process on bar close is on.
Run the Strategy Tester. Confirm that the trade count is reasonable for the sample. If the count is too low, slightly lower the entry threshold or extend history. If the count is excessively high, raise the threshold or add a small cooldown.
9. Practical tuning recipes
Trend following focus . Raise the entry threshold toward 0.60. Raise the trend weight to 0.50 and reduce tail weight to 0.15. Keep drift near 0.35 to retain the growth filter. Consider leaving the trail off and let the exit threshold manage positions.
Breakout focus . Keep entry near 0.55. Raise tail weight to 0.35. Keep aar_mult near 1.3 so only decisive bursts count. A modest cooldown near 5 can reduce immediate false flips after the first burst bar.
Chop defense . Raise drag multiplier to 0.70. Raise exit threshold toward 0.48 to recycle capital earlier. Consider a higher cooldown, for example 8 to 12 on intraday.
Higher timeframe blend . On a daily chart try a weekly confirm with a blend near 0.20. On a five minute chart try a fifteen minute confirm. This moderates transitions.
Sizing discipline . If you want constant position size, set floor equal to cap. If you want certainty scaling, set a band like 0.5 to 2 and monitor drawdown behavior before widening it.
10. Strengths and limitations
Strengths
Self scaling unit through AAR makes the tool portable across markets and timeframes.
Blends evidence that target different failure modes. Unanimity, growth quality, and impulse flow rarely agree by chance which raises confidence when they align.
Adaptive centering reduces structural bias at the score level which helps during regime flips.
Limitations
In very quiet regimes AAR becomes small even with a floor. If your symbol is thin or gap prone, raise the floor a little to keep stops and drift mapping stable.
Adaptive centering can delay early breakout acceptance. If you miss starts, lower center strength or temporarily disable centering while you evaluate.
Tail counting uses a fixed multiple of AAR. If a market alternates between very calm and very violent weeks, a single aar_mult may not capture both extremes. Sweep this parameter in research.
The engine reacts to realized structure. It does not anticipate scheduled news or liquidity shocks. Use event awareness if you trade around releases.
11. Realism and responsible publication
No promises or projections of performance are made. Past results never guarantee future outcomes.
Commission is set to 0.05 percent per round which is realistic for many crypto venues. Adjust to your own broker or exchange.
Slippage is set at 10 in the publication . Introduce slippage in your own tests or use a percent model.
Position size should respect sustainable risk envelopes. Risking more than five to ten percent per trade is rarely viable. The example uses a fixed two percent position size.
Security calls use lookahead off. Standard candles only. Non standard chart types like Heikin Ashi or Renko are not supported for strategies that submit orders.
12. Suggested research workflow
Begin with the balanced defaults. Confirm that the trade count is sensible for your timeframe and symbol. As a rough guide, aim for at least one hundred trades across a wide sample for statistical comfort. If your timeframe cannot produce that count, complement with multiple symbols or run longer history.
Sweep entry and exit thresholds on a small grid and observe stability. Stability across windows matters more than the single best value.
Try one higher timeframe blend with a modest weight. Large weights can drown the signal.
Vary aar_mult and drag_mult together. This tunes the aggression of breakouts versus defense in chop.
Evaluate whether dynamic size improves risk adjusted results for your style. If not, set floor equal to cap for constancy.
Walk forward through disjoint segments and inspect results by regime. Bootstrapping or segmented evaluation can reveal sensitivity to specific periods.
13. How to read the HUD and heat map
The HUD presents a compact view. Score is the current fused value. Trend is the directional entropy channel. Drift is the compounding quality channel. Tail is the burst flow channel. AAR is the current unit that scales stops and the drift map. CD is the cooldown counter. The background heat is a visual aid only. It can be disabled in inputs. Green zones near the upper band show alignment among the channels. Muted colors near the mid band show uncertainty.
14. Frequently asked questions
Can I use this as a pure indicator . Yes. Disable entries by restricting direction to one side you will not trade and use the alerts as a regime switch.
Will it work on intraday charts . Yes. The AAR unit scales with bar size. You will likely reduce the core window and increase cooldown slightly.
Should I enable the adaptive trail . If you wish to lock gains sooner and accept more exits, enable it. If you prefer to let the exit gate do the heavy lifting, keep it off.
Why do I sometimes see a green background without a position . Heat expresses the score. A position also depends on threshold comparisons, direction mode, and cooldown.
Why is Order size set to one hundred percent if dynamic size is on . The script passes an explicit quantity percent on each entry. That explicit quantity overrides the property. The property is kept at one hundred percent to avoid confusion when users later disable dynamic sizing.
Can I combine this with other tools on my chart . You can, yet for publication the chart is kept clean so users and moderators can see the output clearly. In your private workspace feel free to add other context.
15. Concepts glossary
AAR . Average absolute return across the lookback. Serves as a unit for tails, drift scaling, and stops.
Directional entropy . A measure of uncertainty of up versus down closes. Low entropy paired with a directional sign signals unanimity.
Geometric mean growth . Rate that preserves the effect of compounding over many bars.
Drag . The positive difference between arithmetic pace and geometric growth. Larger drag often signals churn that looks active but fails to compound.
Thermo stops . Stops expressed in the same AAR unit as the signal. They adapt with volatility and keep risk and signal on a common scale.
Adaptive centering . A bias correction that recenters the fused score around neutral so the meter does not drift due to persistent skew.
16. Educational notice and risk statement
Markets involve risk. This publication is for education and research. It does not provide financial advice and it is not a recommendation to buy or sell any instrument. Use realistic costs. Validate ideas with out of sample testing and with conservative position sizing. Past performance never guarantees future results.
17. Final notes for readers and moderators
The goal of this strategy is clarity and portability. Clarity comes from a single score that reflects three independent features of the tape. Portability comes from self scaling units that respect structure across assets and timeframes. The publication keeps the chart clean, explains the math plainly, lists defaults and Properties used, and includes warnings where care is required. The code is protected so the implementation remains consistent for the community while the description remains complete enough for users to understand its purpose and for moderators to evaluate originality and usefulness. If you explore variants, keep them self contained, explain exactly what they contribute, publish in English first, and treat others with respect in the comments.
Load the strategy on BTCUSD daily with the defaults listed above and study how the score transitions across regimes. Then adjust one lever at a time. Observe how the trend channel, the drift channel, and the tail channel interact during starts, pauses, and reversals. Use the alerts as a risk switch inside your own process or let the built in entries and exits run if you prefer an automated study. The intent is not to promise outcomes. The intent is to give you a robust meter for regime strength that travels well across markets and helps you structure decisions with more confidence.
Thank you for your time to read all of this
CUBE's V17CUBE’s V15.1 — Sparkles ⚡ + Cubes 🟨 + Smart/LC 🟫 + Golden ✨ (multi-signal scalper & trend helper)
CUBE’s V15.1 is a multi-module toolkit for intraday momentum and quick-scalp decision making. It blends a trend engine, VWAP/EMA50 band logic, CRT + Volume pair detection, weighted divergence, OBV-MACD regime flips, and “Sparkles” presets—then fuses them into readable Cube labels and higher-conviction Golden combos.
What it prints (signal taxonomy)
🟨 Cube ++ Incoming — pre-signal when price enters VWAP/EMA50 “yellow” bands with trend alignment.
🟨 Cube’s Buy ++ / Sell ++ — the “plus-plus” confirmations after CRT context; gated to avoid spam.
🟫 Last Chance → 🟫 Last Chance ++ — RSI + divergence-weighted follow-through (waits for a tiny UT flip).
🟪 Smart Cube — post-Cube, waits for KC(1.2) location + OBV presence + divergence stack (more selective).
✨ Golden (Sparkles + Cube) — objective confluence labels that require Sparkles (preset wins) plus a Cube event inside a short window. Comes in Golden-2 (2+ sparkles in 3 bars) and Golden-1 (tight 0–1 bar proximity).
Each label automatically shows “(Quick Scalp)” when price is inside the careful bands, so you know when to downshift risk.
The engines (under the hood)
Trend: Pivot-Point SuperTrend (PPST 2/10/3) drives bullish/bearish context (invertible).
Bands: 5-minute VWAP + EMA50 zones with symbol-aware tolerances (majors/ETFs/crypto/megacaps tuned).
CRT + Volume Spike Pair: detects recent hammer/shooter + volume conditions and uses them to gate higher tiers.
Weighted Divergence: RSI / Stoch (weighted) / CCI / MOM / OBV (weighted) / CMF / MFI (and more) with CRT-recency gates to keep it relevant.
UT micro-flips: tiny ATR trail crosses used to “arm” Last Chance ++ entries.
OBV-MACD regime: structural flips for the Super7 and Smart Cube filters.
Super7 Sparkles: five presets (4/8/15/24/40 bars) that score 9 modules; you can show compact ✨ icons or 9/9 text.
Quick start (60 seconds)
Add to a 1–5m chart of your instrument.
Leave defaults on; optionally toggle “Sparkle Settings” (the presets are already on).
Watch for:
✨ Golden Buy/Sell → higher-quality scalp setups.
🟨 Cube’s Buy/Sell ++ → momentum continuation outside the yellow bands.
🟪 Smart Cube → selective continuation after a Cube with KC/OBV/div confluence.
Use the built-in alerts (see list below) to automate.
Inputs & customization highlights
Invert Trend Logic — flips bull/bear interpretation (useful in range regimes).
Reference TF label anchoring — place labels using a reference timeframe; optional “(tf)” tag.
Careful (Quick-Scalp) palettes — swap label colors when inside bands; hide/show quick-scalp labels per mode.
Duplicate filters — suppress Cube repeats within a window.
Session tools — optional 6:00 PM 5m “reset” box (purple) and 9:30 AM 1m NY Open box (yellow).
Backgrounds — optional ST(10,1) 0.5–0.7 ATR ribbons for context.
Presets — five Sparkle presets with per-side alternation and wipe logic.
Alerts (names as they appear in TradingView)
⬜ Cube’s Buy / Sell (or 🟨 Incoming if trend is inverted)
🟨 CUBE’S BUY ++ / CUBE’S SELL ++ (or “Cube’s … ++” if inverted)
🟫 Buy Last Chance / 🟫 Incoming (Sell Last Chance)
🟫 Cube’s Last Chance Buy ++ / Cube’s Last Chance Sell
🟪 Smart Cube’s Buy / Smart Cube’s Sell
🔔 ALL Cube Alerts (one catch-all)
✨ G✨lden Buy/Sell (Sparkles+Cube) and G✨lden-1/2 variants
Tip: Set close-bar alerts for most signals; if you want early heads-up, allow “once per bar” but expect more noise.
Reading the labels
“(Quick Scalp)” suffix = price inside the VWAP/EMA50 careful bands; tighten targets/size.
Some labels include indicator names + a weighted count (e.g., “Hist RSI MOM 3”) to hint at divergence depth.
Star ⭐ near a label means a CRT+VOL pair was detected within the recent window.
Golden text shows the most recent cube subtype (“Cube ++”, “Smart Cube”, etc.) that satisfied the window rule.
Recommended markets & timeframes
Built-in tuning for: NQ/ES/RTY/YM, GC/CL, XAU/XAG, FX majors, BTC/ETH/SOL, SPY/QQQ/IWM/DIA, and mega-caps (AAPL, MSFT, NVDA, etc.).
Best experience on 1m–5m for intraday. Works on higher TFs but is designed around the 5-minute VWAP/EMA50 backbone.
Best practices
Confluence over single prints: Use ✨ Golden or 🟪 Smart Cube + trend + structure.
Location matters: Prefer signals near session boxes, prior day H/L, and liquidity pools.
Risk first: Size down in (Quick Scalp) zones and during lunch hours/illiquid sessions.
Avoid double-counting: The script already suppresses blatant duplicates—don’t force extra alerts.
Repainting & transparency
Core signals evaluate on confirmed bars; major request.security calls use lookahead_off.
The 1m open/6pm boxes use alignment tricks for placement; they don’t feed signal logic.
As with any multi-TF logic, real-time bars can update intra-bar—use “on close” alerts for strict confirmation.
Disclaimer
This script is for educational purposes. It’s not financial advice and does not guarantee results. Markets carry risk—always test on replay/paper first, know your instrument’s tick/fee structure, and use hard stops.
