Trend Navigator - Bulls Eye - Options Trade# GN-CE-PE State Engine
## Overview
GN-CE-PE State Engine is a market participation and synchronization tool designed to help traders assess directional conviction across multiple related instruments.
The indicator monitors the relationship between:
* Gift Nifty
* At-The-Money Call Options
* At-The-Money Put Options
and transforms their combined behavior into a set of actionable market states.
Rather than analyzing a single chart in isolation, the engine focuses on whether bullish or bearish participation is developing in a coordinated manner across the underlying market and its options.
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## Market States
### Bull Trend
Indicates broad bullish participation and directional alignment across the monitored instruments.
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### Bear Trend
Indicates broad bearish participation and directional alignment across the monitored instruments.
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### Reset
Represents a pause, pullback, or temporary loss of momentum within an existing directional move.
This state can help traders identify periods where the market is rebalancing before a potential continuation.
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### CE Ready
Highlights conditions where bullish participation is strengthening and directional alignment is improving.
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### PE Ready
Highlights conditions where bearish participation is strengthening and directional alignment is improving.
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## Dashboard
The built-in dashboard provides a real-time summary of:
* Market bias
* Participation strength
* Momentum state
* Directional alignment
* Confidence score
* Current market condition
This allows traders to quickly assess market structure without switching between multiple charts.
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## Confidence Score
The confidence score reflects the degree of alignment between the monitored instruments.
Higher scores suggest stronger participation and greater directional agreement, while lower scores often indicate mixed conditions or transitional phases.
The score is intended as a contextual aid and should not be used as a standalone trading signal.
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## Alerts
The indicator includes alert conditions for:
* CE Ready
* PE Ready
allowing traders to monitor potential opportunities without continuously watching the chart.
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## Recommended Usage
GN-CE-PE State Engine is designed to complement the **Trend Navigator - BullsEye** indicator.
Suggested workflow:
### Step 1
Use **Trend Navigator - BullsEye** to determine the prevailing market structure and directional bias.
### Step 2
Use **GN-CE-PE State Engine** to evaluate whether participation across the underlying market and options is supporting that directional view.
### Step 3
Focus on opportunities where both indicators are aligned.
This combination helps traders distinguish between isolated price movements and moves that are supported by broader market participation.
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## Notes
* Designed primarily for intraday market analysis.
* Option symbols should be updated to match the active trading series.
* Intended as an analytical and decision-support tool.
* Not financial advice.
## Disclaimer
This indicator is intended for educational and analytical purposes only. It is designed to assist traders in evaluating market participation, directional alignment, and market structure across the monitored instruments.
The indicator does not predict future price movements and should not be considered a recommendation to buy, sell, or hold any financial instrument. All trading decisions should be made using independent analysis, proper risk management, and personal judgment.
Past market behavior does not guarantee future results. Users are solely responsible for their trading decisions and any resulting gains or losses. インジケーター
Order Pressure Cloud [JOAT]Order Pressure Cloud is an open-source Pine Script v6 overlay that estimates directional pressure from close location value, candle body bias, and volume participation. It then projects that pressure around an ALMA/EMA blended basis as a volatility-adjusted cloud.
The script is designed for pressure context. It does not read real order book data. Instead, it creates a transparent price-and-volume proxy that can show whether bars are closing toward highs or lows, whether volume is participating, and whether price is holding above or below the adaptive basis.
Core Concepts
1. Close Location Value
The close location value measures where the candle closes inside its high-low range. A close near the high produces positive pressure, while a close near the low produces negative pressure.
barRange = math.max(high - low, syminfo.mintick)
clv = ((close - low) - (high - close)) / barRange
2. Volume-Weighted Pressure
The script smooths CLV multiplied by volume and divides it by smoothed volume. This produces a normalized pressure ratio.
pressureNumerator = ta.ema(clv * volume, pressureLengthInput)
pressureDenominator = ta.ema(volume, pressureLengthInput)
pressureRatio = safeRatio(pressureNumerator, pressureDenominator)
3. Body Bias Component
Body direction is also included. The body component is weighted by a capped volume pulse so unusually large bars do not dominate the reading indefinitely.
4. Nonlinear Strength
The composite pressure is compressed with a nonlinear transform. This keeps extreme values readable and easier to display as a cloud strength score.
5. ALMA/EMA Basis Cloud
The basis blends ALMA and EMA. ATR, pressure strength, and volume pulse expand or contract the cloud width.
Features
CLV pressure proxy: Measures where price closes inside each candle range
Volume participation: Weights pressure by volume while normalizing by smoothed volume
Body pressure component: Adds candle body direction to the pressure model
Nonlinear strength scale: Converts pressure into a bounded -100 to +100 value
Adaptive cloud: Cloud width adjusts with ATR, pressure strength, and volume pulse
Basis blend: ALMA and EMA create a smoother central reference
Pressure zones: Confirmed pressure shifts and holds create clean boxes with pressure percentage and volume pulse data
Confirmed buy/sell labels: Compact labels mark pressure shifts and pressure-cloud holds after bar close
Strength gauge: Top-right dashboard shows pressure, volume, basis side, and cloud scale
Alerts: Pressure shifts, cloud holds, confirmed buy, and confirmed sell conditions
Input Parameters
Source: Price source for the basis
Pressure Length: Smoothing length for pressure calculations
Basis Length: Length for ALMA and EMA basis
ALMA Offset / ALMA Sigma: ALMA shape controls
ALMA Share: Blend weight between ALMA and EMA
ATR Length: Volatility length for cloud width
Cloud Multiplier: Base cloud distance
Signal Level: Strength threshold for pressure shifts
Paint Bars: Enables pressure candle tint
Strength Gauge: Shows dashboard
Pressure Zones: Toggles pressure data boxes
Buy/Sell Signals: Toggles compact confirmed labels
Zone Width: Bars each pressure box extends
Zone History: Maximum pressure boxes retained
Palette: Selects color pair
How to Use This Indicator
Step 1: Read the Gauge
The pressure row shows whether the current pressure score is above, below, or near neutral.
Step 2: Watch Basis Holds
A cloud hold means price interacted with the inner cloud while pressure remained directional.
Step 3: Compare Pressure With Price Location
Pressure is more meaningful when price is on the same side of the basis as the pressure reading.
Indicator Limitations
This is a price-and-volume proxy, not direct order book data
Volume availability differs between markets and symbols
Low-volume symbols can produce unstable pressure readings
Pressure shifts are reactive and can reverse during choppy conditions
Originality Statement
Order Pressure Cloud is original in how it combines CLV, body bias, volume pulse, nonlinear strength compression, and an adaptive ALMA/EMA cloud. It is built as original Pine v6 code from public market data fields.
Disclaimer
This script is provided for educational and informational use only. It is not financial advice or a recommendation to buy or sell any financial instrument. Trading involves substantial risk of loss. Pressure proxies can be inaccurate, especially where volume data is incomplete or irregular. Always use independent analysis and proper risk management.
-Made with passion by jackofalltrades インジケーター
AI Trend Detector | Adaptive Signals [NeuraLib Machine Learning]🔷 AI Trend Detector | Adaptive Signals
AI Trend Detector is a NeuraLib-powered Machine Learning indicator. It trains a compact supervised neural model on confirmed historical movement, then uses the current market state to estimate Bear , Neutral , and Bull pressure.
The model output is converted into a clean visual system:
Trend Oscillator : A 0-100 pressure gauge. Lower values suggest bullish pressure or oversold conditions. Higher values suggest bearish pressure or overbought conditions.
Adaptive MA Cloud : A main-chart adaptive moving average with an AI-biased cloud that expands as model pressure moves away from neutral.
Confirmed Triangles : Optional chart markers for overbought and oversold interactions, with modes for zone entry, zone exit, or confirmed rotation inside a zone.
Dashboard : A compact readout showing the current state, signal value and confidence.
Triangle Alerts : Alert conditions tied to the same confirmed marker logic shown on the chart.
Directional Confidence : An optional 0-100 line showing the stronger directional model probability, calculated from the larger of Bull or Bear pressure. It does not include Neutral probability, so it reflects directional conviction rather than overall model certainty.
This is not a fixed crossover system. The signals are the visual layer of a model-driven trend pressure engine.
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🔷 How The Model Learns
Each bar contributes a compact feature row based on price movement, adaptive MA context, and distance from the adaptive baseline. NeuraLib stores these rows in a rolling dataset, normalizes the inputs, and trains the model on recent time-series windows.
The model is trained as a 3-class classifier:
Bear
Neutral
Bull
Historical training examples use future-resolved movement to create their target class, but only after that movement has already occurred. This is the supervised learning setup: the model learns from completed historical outcomes, then applies its learned weights to the current live feature window.
The exposed settings allow users to experiment with model size, learning rate, training frequency, smoothing, trend horizon, and signal behavior.
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🔷 Model Architecture
The model uses a compact temporal classification architecture:
Flattened state window : Recent feature rows are combined into one temporal input.
Temporal convolution stack : Conv1D-style layers extract short-term structure from the recent market sequence.
Global average pooling : The temporal output is compressed into a compact state representation.
Dense classifier head : One or two dense layers process the pooled state.
Three output logits : The model produces Bear, Neutral, and Bull logits, which are converted into display probabilities.
This keeps the model small enough for Pine Script while still giving it a true sequence-learning structure rather than a simple crossover or rule-based signal engine.
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🔷 Reading The Signals
The oscillator is intentionally inverted for intuitive market reading:
Low values : Oversold or bullish pressure.
Mid values : Balanced or neutral pressure.
High values : Overbought or bearish pressure.
Triangles can be configured through the Triangle trigger setting:
Crossing into : Prints when the oscillator crosses into an overbought or oversold zone.
Going out of : Prints when the oscillator exits an overbought or oversold zone.
Rotation inside zone : Prints when the signal forms a confirmed turn while still inside the zone.
In rotation mode, Rotation confirmation controls how many bars must pass without breaking the candidate peak or trough before the marker is accepted. Rotation triangles print on the confirmation bar, not on the older pivot bar.
The adaptive MA cloud is visual only. The model is not trained on the shifted cloud edge. The cloud simply applies model pressure around the adaptive MA baseline.
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⚠️ Repainting And Signal Timing
The training and signal system is designed around confirmed bars:
Training rows are pushed on confirmed bars.
Triangle signals are gated with barstate.isconfirmed .
Rotation markers print on the confirmation bar.
No negative plot offsets are used to move markers into the past.
The smoothing path uses current and past values only.
Because this model does not train on the full price history, but instead learns from the most recent N bars, repainting may occur when the script is reloaded at a later date. This happens because the model may begin training from a different market environment.
To help preserve the original model state, adjust the Historical Train Window setting to account for any new bars that have been added since the original run.
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⚠️ Limitations
Machine Learning inside Pine Script is powerful, but it is still bounded by TradingView's execution model.
The model is compact by design.
Training history is bounded for performance.
Changing hyperparameters rebuilds the model.
Signals depend on the chosen horizon, threshold, smoothing, and triangle mode.
The model estimates directional pressure. It does not know your entries, exits, risk, fees, or position sizing.
This indicator is best treated as a model-based market pressure tool, not as a complete trading system by itself.
This indicator is powered by the NeuraLib Deep Learning Runtime
Disclaimer: This indicator is an analytical and educational tool. It does not guarantee future results, signal accuracy, or financial gain. Past behavior does not ensure future behavior. Use it as one component in a broader trading process, under your own responsibility. Conceptual architecture and quantitative development by Alien_Algorithms.
インジケーター
Shift Structure Cloud [JOAT]Shift Structure Cloud is an open-source Pine Script v6 overlay that converts confirmed swing structure into a clean adaptive trend cloud. It tracks pivot highs and pivot lows, separates continuation breaks from character shifts, and uses the active structure range to build a dynamic average and multi-layer cloud around price.
The problem it solves is structural context. Many trend tools react only to moving averages or oscillator thresholds. This script anchors its visual state to confirmed market structure first, then uses an adaptive cloud to show whether price is trading above, below, or inside the current structural center. The result is a chart layer that can help separate continuation from transition without relying on future bars.
Core Concepts
1. Confirmed Pivot Structure
The script uses ta.pivothigh() and ta.pivotlow() to confirm swing highs and lows. A pivot is only accepted after the configured right-side confirmation window closes, which means the level is delayed by design but does not depend on unconfirmed future plotting.
pivotHigh = ta.pivothigh(high, pivotLeft, pivotRight)
pivotLow = ta.pivotlow(low, pivotLeft, pivotRight)
if not na(pivotHigh)
structureHigh := pivotHigh
2. BOS and CHoCH Logic
The current structure high and low become break reference levels. A bullish break occurs when price closes above the prior structure high. A bearish break occurs when price closes below the prior structure low. If the break happens against the previous side, it is classified as CHoCH; otherwise it is a continuation BOS.
bullBreakRaw = barstate.isconfirmed and not na(priorHigh) and close > priorHigh and priorClose <= priorHigh
bearBreakRaw = barstate.isconfirmed and not na(priorLow) and close < priorLow and priorClose >= priorLow
bullChoCh = bullBreak and trendSide == -1
bearChoCh = bearBreak and trendSide == 1
3. Adaptive Structure Average
Instead of plotting only fixed swing levels, the script calculates the midpoint between the active structure high and low. The midpoint is then smoothed with an adaptive alpha. When price moves far from the structural center, the average becomes more responsive; when price is balanced, it becomes slower.
structureMid = (activeHigh + activeLow) * 0.5
structureDrift = f_clamp(math.abs(close - structureMid) / legSize, 0.0, 1.0)
adaptAlpha = slowAlpha + (fastAlpha - slowAlpha) * structureDrift
structureAverage := structureAverage + adaptAlpha * (structureMid - structureAverage )
4. Multi-Layer Cloud
The cloud is built from ATR-adjusted bands around the adaptive structure average. Inner, middle, and outer layers give a visual read of compression, transition, and extended distance from structure.
5. Strength-Based Candle Coloring
When enabled, candles are repainted with a gradient based on distance from the structure average. The candle color is informational only; it does not change the underlying chart data.
Features
Confirmed BOS and CHoCH detection: Structural events are gated with barstate.isconfirmed
Adaptive structure average: A dynamic centerline based on active swing range and price drift
Layered trend cloud: Inner, middle, and outer ATR bands visualize distance from structure
Structure high and low levels: Current confirmed swing levels can be shown as reference lines
Gradient candle mode: Optional candle coloring by structural distance
Compact dashboard: Shows side, last shift, strength, bars since shift, and active range
Palette presets: Aqua Rose, Neon Desk, Mint Pulse, and VWAP Field
Alert conditions: Separate alerts for bullish BOS, bearish BOS, bullish CHoCH, and bearish CHoCH
Input Parameters
Visual System:
Palette Preset: Selects the bull and bear color pair
Color Candles: Enables structural candle coloring
Dashboard: Shows or hides the top-right dashboard
Pivot Dots: Shows confirmed pivot dots
Structure Engine:
Pivot Left / Pivot Right: Controls swing confirmation sensitivity
Fast Adapt Length: Fast smoothing response for the adaptive average
Slow Adapt Length: Slow smoothing response for balanced conditions
Cloud ATR Length: ATR length used for cloud width
Cloud Width: Multiplier applied to the cloud distance
BOS and CHoCH Marks: Shows structural event markers
Structure Levels: Shows active swing high and low reference lines
How to Use This Indicator
Step 1: Read the Cloud Side
If price is above the adaptive structure average and the cloud is colored bullish, the current structural state favors upside continuation. If price is below and the cloud is bearish, the state favors downside continuation.
Step 2: Watch CHoCH Events
CHoCH labels mark breaks against the previous structural side. They are useful as transition warnings, not automatic entries.
Step 3: Use the Structure Levels
The active high and low lines show where the next confirmed break could occur. These are the levels the script uses for BOS and CHoCH classification.
Step 4: Combine with Your Own Trigger
This script is designed as a structure and context layer. Use it with your own entry model, risk plan, and market selection process.
Indicator Limitations
Pivot levels confirm after the right-side pivot window closes, so they are intentionally delayed
A fast reversal can occur before a new pivot is confirmed
Cloud distance is ATR-based, so very low volatility markets can compress the visual bands
The script classifies structure; it does not predict future price movement
Originality Statement
Shift Structure Cloud combines confirmed BOS/CHoCH logic, an adaptive structure midpoint, ATR cloud geometry, and strength-colored candles in one original Pine v6 implementation. The script is not a pasted source clone. It rebuilds structure analysis from public Pine mechanics and adds a distinct visual model around the current swing range.
Disclaimer
This script is provided for educational and informational use only. It is not financial advice or a recommendation to buy or sell any financial instrument. Trading involves substantial risk of loss. Signals and structure readings are based on historical chart data and can be wrong in live market conditions. Always use independent analysis and proper risk management.
-Made with passion by jackofalltrades
インジケーター
Fusion EMA Trend Trade PlannerFusion EMA Trend Trade Planner
Back to basics.
This tool was built for traders who want a cleaner way to read trend direction, avoid messy chop, and plan risk before entering a trade.
Instead of filling the chart with separate tools for trend, confirmation, filtering, and risk levels, this script combines those steps into one simple workflow.
The goal is not to predict the future.
The goal is to answer four basic questions:
• Is the market trending?
• Is the trend clean or messy?
• Does the broader context support the move?
• Where would entry, stop loss, and take profit levels sit?
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🔹 Core Idea
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Fusion EMA Trend Trade Planner is built around a simple trend-following process:
1. Find clean EMA structure.
2. Check the 21-period Basis Cloud.
3. Use optional filters if extra confirmation is wanted.
4. Plot a simple risk/reward trade plan.
5. Watch for trend deterioration.
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🔹 Fusion EMA Structure
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The main trend engine uses four exponential moving averages.
A bullish trend is shown when the EMAs are stacked cleanly:
Fast EMA > Medium EMA > Slow EMA > Anchor EMA
A bearish trend is shown when the EMAs are stacked the opposite way:
Fast EMA < Medium EMA < Slow EMA < Anchor EMA
This is different from a basic two-line crossover.
A single moving average can show direction, but a stacked EMA structure can show both direction and trend quality.
When the EMAs are separated and aligned, the trend structure is cleaner.
When the EMAs compress or cross, the market may be losing structure.
When the structure is mixed, candles can turn grey. This is a visual warning that the trend is no longer clean.
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🔹 Fusion Ribbon
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The ribbon shows the relationship between the four EMAs.
When the ribbon is clean and expanded, trend structure is stronger.
When the ribbon compresses or turns grey, the market may be entering chop, transition, or weak trend conditions.
This makes it easier for newer traders to visually separate:
• Clean trend
• Weak trend
• Choppy market
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🔹 21-Period Basis Cloud
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The Basis Cloud is built around a smoothed 21-period basis average.
The number 21 was chosen because it is a Fibonacci number commonly used by trend traders as an intermediate market rhythm.
The cloud also uses a shorter reference average to create a layered visual zone around the basis.
The Basis Cloud is not designed as a simple crossover signal.
Its job is to act as a directional context layer.
In simple terms:
• Green cloud = basis direction is rising
• Red cloud = basis direction is falling
The Fusion EMA Structure and Basis Cloud are calculated separately.
This means traders can compare two different views of the market:
• EMA trend structure
• 21-period basis direction
When both agree, the setup has cleaner directional context.
When they disagree, conditions may be weaker or less clear.
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🔹 Higher Timeframe Filter
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An optional higher timeframe Fusion EMA can be used for extra context.
This helps traders avoid taking setups that go directly against broader trend structure.
For example:
• Current chart is bullish
• Higher timeframe is also bullish
• Setup has better alignment
This does not guarantee success, but it helps keep trades in line with the bigger picture.
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🔹 Optional Quality Filter
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The script includes an optional Quality Filter for traders who prefer additional confirmation.
By default, the indicator focuses on Fusion EMA Structure, Basis Cloud direction, and Trade Planning.
For traders who want a more selective approach, the Quality Filter can be enabled to evaluate:
• EMA ribbon expansion
• Price position relative to the Basis Cloud
• Higher timeframe agreement
• ADX trend strength
The filter is not intended to predict win rates or assign confidence scores.
Its purpose is simply to reduce participation during weaker trend conditions.
Many traders may prefer to leave the filter disabled and use Fusion EMA Structure and Basis Cloud alignment alone.
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🔹 Trade Planner
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When a valid setup appears, the script can draw a full trade plan:
• Entry
• Stop Loss
• TP1
• TP2
• TP3
Stop loss can be calculated using:
• ATR-based stop
• Percentage-based stop
Take-profit levels are based on adjustable risk/reward values.
This helps traders see the risk before entering instead of chasing candles blindly.
The Trade Planner is a visual planning tool only. It does not place trades automatically.
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🔹 Grey Exit Marker
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If a trade is active and the EMA structure turns grey, the script can print a small X marker.
This means the original clean trend structure has weakened.
It does not mean price must reverse.
It simply means the condition that created the trade setup is no longer clean.
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🔹 Suggested Workflow
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For a bullish setup:
1. Wait for green candle structure.
2. Check that the ribbon is clean.
3. Check that price is above the Basis Cloud.
4. Use the optional Quality Filter if you want extra confirmation.
5. Use the Trade Planner to review entry, stop loss, and targets.
6. Watch for grey candles or exit markers.
For a bearish setup:
1. Wait for red candle structure.
2. Check that the ribbon is clean.
3. Check that price is below the Basis Cloud.
4. Use the optional Quality Filter if you want extra confirmation.
5. Use the Trade Planner to review entry, stop loss, and targets.
6. Watch for grey candles or exit markers.
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🔹 Originality
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This script was designed as a complete trend-following workflow, not as a random collection of indicators.
The goal of this script was not to merge unrelated indicators into a single chart.
Each component was selected to perform a specific role within the workflow:
• Fusion EMA Structure identifies trend alignment.
• Fusion Ribbon visualizes trend quality.
• 21-Period Basis Cloud provides directional context.
• Optional Quality Filter helps reduce participation during weaker conditions.
• Trade Planner converts trend conditions into predefined risk levels.
• Grey Exit Marker highlights trend deterioration.
Together, these components form a single trend-analysis and trade-planning process rather than functioning as separate standalone indicators.
The purpose is to move from trend reading to trade planning in one clean process.
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🔹 Important Notes
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This indicator does not:
• Predict future price movement
• Guarantee profitable trades
• Estimate win probability
• Replace risk management
• Call every top or bottom
It is designed to help traders identify cleaner trend conditions and plan trades more consistently.
Simple idea:
Find the trend.
Check the structure.
Plan the risk.
Do not chase messy candles. インジケーター
インジケーター
Adaptive Trend Expansion Bands [BigBeluga]Adaptive Trend Expansion Bands is an advanced, volatility-scaled mathematical modeling terminal engineered for TradingView. It operates as a dynamic trend-following corridor system that maps asset extension, mean-reversion horizons, and structural exhaustion thresholds across four distinct mathematical volatility tiers.
Rather than relying on static channels or fixed-percentage envelopes, this system uses an adaptive algorithmic architecture. It combines a selectable baseline smoothing core (such as an EMA or HMA) with standard Average True Range (ATR) step multipliers. This approach maps predictable, gradient-shaded risk corridors that expand and contract in perfect synchronization with real-time market volatility.
🔵 SYSTEM ARCHITECTURE & EXECUTING CORE ENGINES
1. Smooth Multi-Engine Core Baseline
Selectable Mathematical Foundations: The central anchor line runs your preferred moving average smoothing type ( SMA, EMA, WMA, or HMA ). This allows you to tailor the script to act as a responsive high-velocity scalp line or an institutional trend tracking system.
Volatility Expansion Envelopes: Spawns four upper and four lower risk bands symmetrically off the baseline. Driven by the asset's raw ATR Length , these bands act as a multi-layered support and resistance map, defining exactly where price action transitions from normal distribution into extreme variance.
2. Asymmetric Structural Trend Inversion Locking
Zone 3 Structural Threshold Flipped Tracking: The script utilizes a structural state machine that changes color parameters only when a candle successfully forces a crossover above the upper Zone 3 band ( Bullish Lock ) or a crossunder below the lower Zone 3 band ( Bearish Lock ).
Clean Workspace Overwrites: Once a trend direction is verified, the engine overwrites your primary layout candle bars with clear, customized hex-theme presets ( Bullish/Bearish Base Colors ) to maintain absolute structural awareness.
Dynamic Zone-Tier Mapping Labels: When a structural trend shift occurs, the system prints crisp zone indicators ( +1 to +4 or -1 to -4 ) directly in the background spaces to immediately define the volatility tiers.
3. High-Variance Exhaustion Spotting (Zone 4 Hits)
Counter-Trend Spike Identifiers: The terminal flags moments when an active trend experiences a sudden, high-velocity counter-trend surge into deep premium or discount territory ( Zone 4 Extreme Target Layers ).
Localized Inversion Candlestick Highlights: The exact candle that spikes into a Zone 4 level is instantly recolored with a high-visibility contrast override ( Zone 4 Hit Candle Color ). This provides immediate visual warning of exhaustion before any pullback begins.
Anti-Overlap Cooldown Guardrails: Built-in index buffer logic ( Zone 4 Label Bar Gap ) prevents the system from cluttering your workspace with consecutive text labels during high-velocity runs.
4. Automatic Order-Tracking Boxes & Escape Latches
Historical Low/High Sizing Brackets: The moment a Zone 4 anomaly is logged, the graphical engine automatically anchors a structural box tracking the recent 3-bar high/low territory.
Dynamic Trailing Tracker Dashed Lines: Extends crisp upper and lower horizontal tracker boundaries from the exhaustion point. These dashed lines track the consolidation range and remain active until the market breaches either boundary, triggering a directional arrow glyph ( ▲ or ▼ ) to mark the breakout.
🔵 SYSTEMATIC EXECUTION STRATEGIES & RISK INTERPRETATION
Counter-Trend Overextension Inversions: When an asset is structurally trading in a downtrend but experiences an aggressive squeeze that spikes into the upper Zone 4 envelope, it triggers a Zone 4 exhaustion print. This alerts you that buyers have pushed deep into an illiquid mathematical ceiling. Look for short-side setups as price targets a mean-reversion move back down toward the primary baseline.
Zone Range Breakdown Continuations: Monitor the horizontal dashed tracking lines spawned by a Zone 4 hit. If price action consolidates inside these boundaries and then prints a strong close outside the high/low bracket, look to trade the breakout in that direction, using the opposite dashed line as a hard risk invalidation level.
Trend Health Assessment via Gradient Fills: Use the layered background fills to gauge trend strength. Healthy, sustainable trends typically ride smoothly along the Zone 1 and Zone 2 channels. When price aggressively pierces into Zone 3 or Zone 4, it signals a climax state, warning you to tighten trailing protective lines or take profits before a mean-reversion event.
🔵 INTERFACE CONFIGURATION AND PARAMETERS
Core Mathematical Tuning: Easily adjust baseline types, lookback periods, and baseline multipliers to optimize the indicator for any asset class, volatility cycle, or chart time frame.
Exhaustion Label Cleanliness Filters: Customize the bar index gap parameters to keep your layout workspace clean and legible during highly volatile market conditions.
Visual Theme Customization Modifiers: Fully adjust color properties for bullish states, bearish states, and exhaustion candle overrides to blend seamlessly into your dark or light charting interface.
Transform your charting layout from flat geometric indicators into a highly responsive, volatility-scaled risk map with the Adaptive Trend Expansion Bands terminal. インジケーター
Order Flow Asymmetry [JOAT]Order Flow Asymmetry
Introduction
Order Flow Asymmetry is an open-source synthetic institutional order flow indicator that tracks four independent measures of directional institutional activity — Volume-Weighted Momentum, Liquidity Vacuum detection, Microstructure Imbalance scoring, and a dynamic Information Ratio Band system — and classifies the current market into one of four regime states based on trend direction and volatility level. Smart money signals are generated only when regime, VWM direction, imbalance score, and the absence of a liquidity vacuum all align simultaneously.
The core thesis is that institutional participants leave statistical footprints in price and volume data that can be approximated without access to full order book data. When a large participant is absorbing supply, the result is: above-average volume, below-average price movement, high close-to-range ratio biased toward the institutional direction, and a cumulative imbalance in the bid-side proxy. Order Flow Asymmetry tracks these proxies simultaneously rather than relying on any single measure.
Core Concepts
1. Volume-Weighted Momentum (VWM)
VWM weights each bar's price change by its volume — large-volume bars contribute more to the running total than small-volume bars. The cumulative result is then normalized relative to the 20-bar average volume, producing a -50 to +50 reading:
float vwm = ta.cum(ta.change(close) * volume) / ta.ema(volume, 20)
float vwmNorm = (vwm - ta.lowest(vwm,100)) / math.max(ta.highest(vwm,100) - ta.lowest(vwm,100), 1e-9) * 100 - 50
A crossover of zero in either direction is the primary momentum signal.
2. Liquidity Vacuum Detection
A liquidity vacuum occurs when volume collapses below two standard deviations of its 50-bar mean while price moves more than one ATR in the same bar. This pattern indicates a move through a region with no counterparty liquidity — a potential institutional trap. Vacuum bars are marked with three-layer glow boxes and treated as signal inhibitors.
3. Microstructure Imbalance Score
A bar-level bid/ask proxy is computed from close position within the high-low range. Bars closing in the upper half of their range contribute positive imbalance; bars closing in the lower half contribute negative. A 93% decay factor is applied each bar, producing a running imbalance score that emphasizes recent activity while retaining historical context.
4. Four-State Regime Classification
The regime is determined by two binary conditions: ADX above threshold (trending vs. ranging) and ATR ratio above threshold (high vs. low volatility). This produces four states: Trend Bull, Trend Bear, Range High-Vol, Range Low-Vol. Each state receives a distinct background tint. Smart money signals require a Trend state — signals in Range states are suppressed.
5. Information Ratio Bands
Standard deviation bands are computed from the MIDAS VWAP. The band width multiplier is dynamically set by the rolling Sharpe ratio estimate of recent returns — periods with higher risk-adjusted returns produce narrower bands, while periods with lower Sharpe ratios produce wider bands.
float sharpe = ta.ema(ret20, 20) / math.max(ta.stdev(ret20, 20), 1e-8)
float kFactor = math.max(0.5, math.min(3.0, math.abs(sharpe) * 2))
Features
Volume-Weighted Momentum: Cumulative volume-weighted price change normalized to -50/+50 range
Institutional VWAP center line: Thick reference line showing the cumulative volume-weighted average price anchor — the central institutional value reference
VWM gradient fill zones: Bull zone fills between VWAP and upper VWM level in bull theme color; bear zone fills between VWAP and lower VWM level in bear theme color — intensity reflects VWM magnitude
IR Band gradient fill: Subtle gradient fill between upper and lower Information Ratio bands shows the full Sharpe-adjusted deviation range
Regime transition markers: Every regime change draws a vertical dotted line plus a direction label (▲ TrendBull / ▼ TrendBear / ◆ RngHVol / ◇ RngLVol) — institutional regime context at a glance
Absorption / Distribution labels: "Absorption" label when cumulative microstructure imbalance score exceeds extreme threshold; "Distribution" label when it falls below. Identifies potential institutional accumulation/distribution zones
Smart money signal markers: "▲ SMART LONG" / "▼ SMART SHORT" labels with embedded VWM and Imbalance values, plus a vertical dotted line through each signal bar for visual alignment
Liquidity vacuum detection: Volume collapse + ATR-relative move identifies institutional trap zones with 3-layer glow visualization and "Vacuum" text label
Microstructure imbalance score: Decaying cumulative bid/ask proxy normalized by ATR, displayed in dashboard
Four-state regime classification: Trend Bull / Trend Bear / Range High-Vol / Range Low-Vol from ADX and ATR ratio — distinct background tints for each state
Information Ratio Bands: VWAP deviation bands with width dynamically set by rolling Sharpe estimate
Gradient candle coloring by VWM: Bar colors reflect normalized VWM intensity using color.from_gradient() when VWM exceeds threshold in trend direction
Three-layer glow candles (optional): Institutional-style neon glow candle effect
12-row institutional dashboard: Regime, VWM, vacuum state, imbalance score, Sharpe k-factor, IR band levels, signal, win rate, and performance stats
Four color themes: Phantom, Neon, Classic, Solar
Non-repainting: All signals gated by barstate.isconfirmed; all inputs are historical only
Input Parameters
Volume-Weighted Momentum:
Volume Average Length (default: 20)
VWM Cross Threshold (default: 5.0)
Liquidity Vacuum:
Volume Mean Length, Sigma Below Mean, Vacuum Zone Width, Glow Strength
Microstructure Imbalance:
Imbalance Decay Factor (default: 0.93)
Imbalance Signal Gate (default: 15.0)
Regime Classification:
ADX Trend Threshold (default: 25)
ATR Ratio High-Vol Threshold (default: 1.2)
Information Ratio Bands:
Show IR Bands toggle
Sharpe Window (default: 20)
Signal:
Cooldown Bars, TP ATR Multiple, SL ATR Multiple, Show Trade Block, Block Width
How to Use This Indicator
Step 1: Identify the Regime
Check the dashboard Regime row. Smart money signals only fire in Trend Bull or Trend Bear states. During Range states, no signals are generated regardless of VWM direction.
Step 2: Watch for VWM Zero Cross
The VWM crossing zero in the direction of the trend regime is the primary trigger. Ensure no vacuum is active on the signal bar — vacuum bars inhibit signals because they represent suspect moves without genuine counterparty support.
Step 3: Check Imbalance Score
The imbalance score reflects cumulative directional bias in bid/ask proxy. A score above the gate threshold in the trend direction adds confidence. A score contradicting the trend direction is a warning.
Step 4: Use IR Bands as Dynamic Reference
The Information Ratio bands widen in low-Sharpe environments (price distributing far from VWAP) and narrow in high-Sharpe environments (price efficiently priced near VWAP). These bands serve as dynamic reference levels rather than fixed targets.
Indicator Limitations
VWM uses tick volume as a proxy for institutional participation. On forex spot and some crypto venues, tick volume may not accurately represent actual participation
The microstructure imbalance score uses bar close position as a bid/ask proxy. This is an approximation — actual bid-ask data is not available in standard TradingView data
Regime classification uses ADX and ATR ratio, both of which lag price. A trend beginning explosively will be classified as ranging for several bars until indicators respond
The Information Ratio Band width is driven by a 20-bar Sharpe estimate, which is an extremely short window for a reliable Sharpe computation. It should be interpreted as a dynamic band-width scaler rather than a statistically significant Sharpe ratio
Smart money signals are rare by design — the four-condition gate produces low-frequency output
Originality Statement
The combination of Volume-Weighted Momentum, Liquidity Vacuum detection as a signal inhibitor, a decaying Microstructure Imbalance score, and Information Ratio Bands with Sharpe-driven width — all gated by a four-state regime classification — is an original analytical architecture not replicated in existing open-source Pine Script v6 publications
Treating liquidity vacuums as signal inhibitors rather than signals themselves — suppressing momentum signals that occur immediately after a volume-collapse move — is a novel application of vacuum detection logic
Dynamic VWAP deviation band width driven by a rolling Sharpe ratio estimate rather than a fixed multiplier provides adaptive band boundaries that reflect the current efficiency of price relative to VWAP
Disclaimer
This indicator is provided for educational and informational purposes only. It is not financial advice. Trading involves substantial risk of loss. Synthetic order flow measures are approximations that use publicly available price and volume data as proxies for actual institutional activity. Past signal performance does not predict future results. The author accepts no responsibility for trading losses resulting from use of this indicator.
Made with passion by jackofalltrades
インジケーター
Sweep Runover Trend CandleEnglish Version
Title: Sweep Runover System
Description:
The Ultimate Sweep Runover System is a complete, all-in-one trading toolkit designed to detect liquidity sweeps, confirm structural shifts, and manage your risk automatically. Whether you are trading forex, crypto, or indices, this indicator visually guides you through the entire lifecycle of a trade from setup to take profit.
Key Features:
Liquidity Sweep Detection: Automatically plots structural highs/lows and marks liquidity sweeps with customizable lines and labels (default 'X').
Trend Confirmation (Hollow Candles): Filters out fake-outs by waiting for a candle close beyond the setup. Once confirmed, the trend changes dynamically, painting beautiful neon hollow candles (Green for Bullish, Red for Bearish).
Advanced Stop Loss & R:R Targets: Automatically calculates your Stop Loss based on either the Recent Swing or the Trigger Candle. It instantly plots customizable Risk-to-Reward (R:R) Target lines (T1, T2) directly on the chart with exact price labels.
MTF Dashboard: A sleek, customizable table that tracks the real-time trend status across your current timeframe and up to 4 higher timeframes simultaneously.
Session Killzones: Optional time filters allow you to only hunt for setups during specific high-volume trading sessions (e.g., London or NY Open).
Pro Alert System: Fully integrated with custom JSON Webhook alerts, making it plug-and-play ready for auto-trading bots (3Commas, PineConnector, etc.).
Beautiful Custom UI: Every visual element—from neon colors and line styles to label distances and historical line cleanup—can be easily customized in a highly organized settings menu.
How to Use:
Wait for the indicator to mark a sweep (X). If price confirms the runover, the candles will change color, and your SL/TP lines will appear. Manage the trade using the automatically plotted R:R targets and keep an eye on the MTF Dashboard for higher timeframe confluence!
Tamil Version (தமிழ்)
தலைப்பு: Sweep Runover System
விளக்கம்:
Ultimate Sweep Runover System என்பது மார்க்கெட்டில் நடக்கும் லிக்விடிட்டி ஸ்வீப்களை (Liquidity Sweeps) கண்டறிந்து, ட்ரெண்ட் (Trend) மாறுவதை உறுதிசெய்து, உங்கள் ரிஸ்க்கை (Risk) ஆட்டோமேட்டிக்காக நிர்வகிக்க உருவாக்கப்பட்ட ஒரு முழுமையான இண்டிகேட்டர் ஆகும். ஃபாரெக்ஸ், கிரிப்டோ அல்லது ஸ்டாக்ஸ் என எதில் ட்ரேட் செய்தாலும், என்ட்ரி முதல் டேக் ப்ராஃபிட் (Take Profit) வரை இந்த சிஸ்டம் உங்களை சரியாக வழிநடத்தும்.
முக்கிய அம்சங்கள்:
Liquidity Sweep Detection: மார்க்கெட் ஸ்ட்ரக்சரை அனலைஸ் செய்து, லிக்விடிட்டி ஸ்வீப்களை எளிதாகக் கண்டறிந்து குறியீடுகள் (X) மூலம் காட்டுகிறது.
Trend Confirmation (Hollow Candles): ஃபேக்-அவுட்களை (Fake-outs) தவிர்ப்பதற்காக, கேண்டில் க்ளோஸ் (Candle Close) ஆகும் வரை காத்திருந்து ட்ரெண்டை உறுதி செய்கிறது. ட்ரெண்ட் மாறியதும், அழகான நியான் ஹாலோ கேண்டில்களாக (Bullish-க்கு பச்சை, Bearish-க்கு சிவப்பு) நிறம் மாறும்.
Advanced Stop Loss & R:R Targets: உங்களின் ஸ்டாப் லாஸை Recent Swing அல்லது Trigger Candle அடிப்படையில் இதுவே கணக்கிட்டுக்கொள்ளும். மேலும், உங்களுடைய Risk-to-Reward (R:R) அடிப்படையில் டார்கெட் லைன்களை (T1, T2) சரியான விலையுடன் சார்ட்டிலேயே வரைந்து காட்டும்.
MTF Dashboard: நீங்கள் பார்த்துக்கொண்டிருக்கும் டைம்ஃபிரேம் மட்டுமின்றி, கூடுதலாக 4 பெரிய டைம்ஃபிரேம்களின் (Higher Timeframes) ட்ரெண்ட் நிலையை ஒரே டேஷ்போர்டில் உடனுக்குடன் தெரிந்துகொள்ளலாம்.
Session Killzones: மார்க்கெட்டில் வால்யூம் அதிகமாக இருக்கும் நேரங்களில் (எ.கா. London / NY Session) மட்டுமே ட்ரேட் செய்ய, பிரத்யேக டைம் ஃபில்டர்கள் (Time filters) கொடுக்கப்பட்டுள்ளன.
Pro Alert System: ஆட்டோ-ட்ரேடிங் பாட்களை (Auto-trading bots) பயன்படுத்துபவர்களுக்காகவே Custom JSON Webhook அலர்ட் வசதி கொடுக்கப்பட்டுள்ளது.
Beautiful Custom UI: நிறங்கள், லைன் ஸ்டைல்கள், மற்றும் டேஷ்போர்டு டிசைன் என அனைத்தையும் செட்டிங்ஸில் உங்களுக்கு ஏற்றவாறு எளிதாக மாற்றியமைத்துக் கொள்ளலாம்.
எப்படி பயன்படுத்துவது?
இண்டிகேட்டர் ஸ்வீப்பை (X) மார்க் செய்யும் வரை காத்திருங்கள். ட்ரெண்ட் பிரேக்-அவுட் ஆனதும் கேண்டில்களின் நிறம் மாறும், கூடவே உங்களின் SL மற்றும் டார்கெட் லைன்கள் சார்ட்டில் தோன்றும். ஆட்டோமேட்டிக்காக வரையப்படும் R:R டார்கெட்டுகளைப் பயன்படுத்தி ட்ரேடை வெற்றிகரமாக முடியுங்கள். MTF டேஷ்போர்டை கவனித்து மார்க்கெட்டின் பெரிய ட்ரெண்டோடு இணைந்து பயணியுங்கள்! インジケーター
Double ATR Reversal// ════════════════════════════════════════════════════════════════════════════
// DOUBLE ATR REVERSAL — Chandelier-style trailing stop + ATR expansion scanner
// ────────────────────────────────────────────────────────────────────────────
// METHOD
// 1. Trailing stop. A ratcheting stop is computed from the rolling extreme
// (highest src_h or lowest src_l over N bars) offset by a multiple of
// Wilder's ATR. The long stop only ratchets up; the short stop only
// ratchets down. When price crosses the opposite side's stop, the
// trend "flips." This is the same construction as the standard
// Chandelier Exit; the "Double ATR" naming refers to the default
// multiplier of 2.0 (faster reversals than the conventional 3.0).
//
// 2. Reversal events. A bull reversal fires on the bar where the trend
// flips from -1 to +1; a bear reversal on +1 to -1. These are
// point-in-time events, distinct from the persistent trend state.
//
// 3. Volatility expansion overlay. Current ATR is compared to a rolling
// SMA of ATR over `expand_len` bars. A separate signal fires when
// current ATR exceeds expand_mult × baseline. This catches news /
// volatility events that are independent of trend direction and is
// the primary addition over a plain trailing-stop indicator.
//
// SOURCE TOGGLE
// `use_close` selects whether the rolling extremes use closing prices
// (smoother, fewer whipsaws) or wicks (more sensitive to spikes). This
// meaningfully changes signal frequency on noisy instruments and is
// exposed as an input rather than hard-coded.
//
// OUTPUTS
// • Trailing stop line, color-coded by trend state
// • Optional bar coloring by trend
// • Bullish / bearish reversal triangles + optional price-annotated labels
// • Yellow background flash + diamond marker on ATR expansion bars
// • Info table: trend, ATR (absolute and as % of price), trail stop,
// multiplier, and expansion state
// • Four alertconditions: bull reversal, bear reversal, any reversal,
// and volatility expansion — suitable for cross-symbol scanning via
// TradingView alert lists
//
// NOT A STRATEGY: orders, slippage, and returns are not modeled.
// ════════════════════════════════════════════════════════════════════════════
インジケーター
No-Repaint Entry Score Multi-Factor Confluence [LunqFX]No-Repaint Entry Score — Multi-Factor Confluence
Most indicators tell you a signal exists. This one tells you how strong
it is, why it fired, and how long it has been holding — on every bar,
across every market.
One number: 0–100. Five factors. Zero repainting.
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
█ HOW TO USE IT — 4 STEPS
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
STEP 1 — CHECK HTF TREND
Look at the SIGNAL section of the panel.
HTF Trend shows ▲ BULL or ▼ BEAR based on a confirmed higher
timeframe EMA. Only take setups in this direction.
Counter-trend setups are automatically penalised by the score.
STEP 2 — WAIT FOR THE ENTRY WINDOW
When score reaches your Signal Threshold (default 75), the panel
shows "✓ ENTRY WINDOW" and a green Entry Zone box appears on the chart.
Do not enter below this threshold — conditions are not aligned.
STEP 3 — CHECK THE CAUTION ROW
The panel always shows your weakest component.
Caution: Momentum ↓ → wait for a strong candle close
Caution: Session ↓ → wait for market session to open
Caution: Structure ↓ → you may be entering against the trend
Fix the caution before entering.
STEP 4 — LOOK FOR PRIME AND PERSISTENCE
PRIME label (score ≥80) = all 5 factors aligned. Best entries.
◆ SUSTAINED (3+ bars) → candles turn cyan. High conviction.
◆◆ ELITE (6+ bars) → candles turn gold. Exceptional setup.
The longer the streak holds, the stronger the setup.
STOP LOSS — place below/above the Entry Zone outer band (±0.55 ATR).
TAKE PROFIT — next confirmed swing level or session high/low.
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
█ SCORE TIERS
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
◆◆ ELITE PRIME ≥80, held 6+ bars — exceptional, rare
◆ SUSTAINED ≥80, held 3+ bars — high conviction
PRIME ≥80, first bar — valid entry signal
GOOD 65–79 — quality setup, consider entry
MODERATE 40–64 — mixed signals, wait
WEAK <40 — avoid, confluence collapsed
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
█ READING THE DASHBOARD PANEL
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
ENTRY SCORE — composite score 0–100. Header color shifts with tier:
green (PRIME) → cyan (SUSTAINED) → gold (ELITE) → red (WEAK)
Progress bar — 8-block visual bar. Updates every tick.
Score ▲▼— — arrow shows if score is building (▲) or fading (▼).
Useful for timing: enter when score is rising, not when it peaks.
Tier row — current tier label. Upgrades automatically to
◆ SUSTAINED PRIME or ◆◆ ELITE PRIME when streak activates.
COMPONENTS — individual 0–100 scores:
Structure = HTF EMA alignment × candle direction
Proximity = distance from nearest swing pivot level
Session = trading session quality by hour
Momentum = candle body strength (body ÷ total range)
Volatility = ATR vs 50-bar average (filters dead and spiking markets)
HTF Trend — higher timeframe direction. Confirmed bar only, no drift.
Caution — your weakest component. One actionable reason to wait.
Entry — ENTRY WINDOW or WAIT based on your Signal Threshold setting.
Persistence — consecutive PRIME bar counter.
— = no active streak 3 bars = SUSTAINED 6 bars = ELITE
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
█ RECOMMENDED TIMEFRAMES AND MARKETS
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Best timeframes: 1H · 4H · Daily
Works on: 5M · 15M · 30M (more signals, lower quality per signal)
Avoid: below 5M
Forex (EURUSD GBPUSD USDJPY) → NY or London session mode
Gold (XAUUSD) → NY session, 1H or 4H
Crypto (BTCUSD ETHUSD) → Crypto 24/7 mode
Indices (SPX NAS DAX) → NY session
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
█ WEIGHT PRESETS FOR DIFFERENT TRADING STYLES
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Weights are fully adjustable. Presets to get you started:
Trend Following (default)
Structure 30 / Proximity 25 / Session 20 / Momentum 15 / Volatility 10
Scalping (5M–15M)
Structure 20 / Proximity 15 / Session 30 / Momentum 25 / Volatility 10
Swing Trading (Daily–Weekly)
Structure 35 / Proximity 30 / Session 5 / Momentum 20 / Volatility 10
Mean Reversion (range markets)
Structure 15 / Proximity 40 / Session 20 / Momentum 15 / Volatility 10
Crypto 24/7
Structure 30 / Proximity 30 / Session 5 / Momentum 20 / Volatility 15
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█ ALERTS — 6 CONDITIONS
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1. Prime Setup Detected — score enters ≥80
2. Good Setup Forming — score enters 65–79 from below
3. Setup Degraded — score drops from quality zone
4. Weak Setup Warning — score collapses below 40
5. Sustained PRIME (3 bars)— streak hits 3 consecutive PRIME bars
6. Elite PRIME (6 bars) — streak hits 6 consecutive PRIME bars
Set alerts to "Once per bar close" in TradingView settings.
All alerts fire on confirmed closed bars only — no false triggers.
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█ HOW THE SCORE IS CALCULATED
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Score = weighted average of 5 components, normalised to 100%.
Weights are user-configurable and auto-normalised — they do not
need to sum to exactly 100.
1. STRUCTURE (default 30%)
Compares candle direction to HTF EMA(20) direction.
Fully bi-directional: bearish candle in bearish HTF = same score
as bullish candle in bullish HTF.
Aligned: score = 65 + (body ratio × 35), max 100
Misaligned: score = 5 + (body ratio × 25), max 30
2. PROXIMITY (default 25%)
Measures distance from the nearest confirmed pivot high or low
using ta.pivothigh/pivotlow (5-bar lookback) in ATR units.
Score = 100 − (ATR distance × 18), clamped 0–100.
At the level = 97–100. Far from structure = 0–20.
3. SESSION (default 20%)
Hour-by-hour quality score based on New York time.
NY mode: 08:00–11:00 = 100 · 03:00–05:00 = 88 ·
11:00–13:00 = 72 · 13:00–16:00 = 60 ·
dead zones = 25
London and Tokyo modes follow their respective peak hours.
Crypto 24/7 = flat 75 (no session bias).
4. MOMENTUM (default 15%)
Candle body divided by total candle range.
Full-body candle = 100. Doji = 0.
Filters indecisive wick-heavy candles.
5. VOLATILITY (default 10%)
ATR(14) divided by its 50-bar SMA.
Sweet spot 0.7–1.6 = score 100.
Too quiet (< 0.7): score scales down.
Too explosive (> 1.6): score drops sharply.
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█ NO-REPAINT — HOW IT IS ACHIEVED
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Three sources of repaint addressed:
HTF EMA: request.security(..., ta.ema(close,20) , lookahead_on)
The reads the EMA of the PREVIOUS confirmed HTF bar.
Locked until the next HTF candle closes. No live-bar drift.
Labels: all signals fire only on barstate.isconfirmed.
Never drawn on an open bar.
Pivots: 5-bar right lookback on confirmed bars only.
Verify: TradingView Replay mode — bar-by-bar playback matches
published chart exactly on any historical period.
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█ SETTINGS REFERENCE
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Higher Timeframe — blank = auto.
Auto logic: 1–5M→30M · 6–15M→1H · 16–60M→4H ·
61–240M→Daily · Daily→Weekly · Weekly→Monthly
Signal Threshold — Entry Window fires above this score. Default 75.
PRIME tier is always fixed at ≥80 regardless of this setting.
Trading Session — NY · London · Tokyo · Crypto 24/7
Component Weights — all five individually adjustable.
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█ RISK DISCLAIMER
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This indicator is a decision-support tool, not a trading strategy.
No backtested win rate or profit factor is implied or claimed.
Past signals do not guarantee future performance.
Always use a defined stop loss and proper position sizing.
Trading involves risk of loss. Use at your own discretion. インジケーター
Market State Forecast Projection EngineThis indicator is a **forecast projection tool**. It looks at the current market environment, searches history for the most similar environments, then plots what usually happened afterward. It is not trying to predict the future with certainty. It is saying: “When the market looked like this before, what tended to happen next?”
The engine defines the current market environment using three things:
* **Trend**, based on moving averages.
* **Momentum**, based on RSI.
* **Volatility**, based on ATR.
Then it finds the closest historical matches, studies their future paths, and draws a forecast line with optional upper and lower bands.
---
## What You See on the Chart
### Forecast Midline
The main forecast line shows the **average path** of the selected historical matches.
In simple terms:
* If similar past situations usually moved higher, the line slopes up.
* If similar past situations usually moved lower, the line slopes down.
* If similar past situations were mixed, the line may be flat or choppy.
### Upper Band
The upper band shows the stronger side of historical outcomes.
It means:
* Some similar historical setups moved better than the average.
* The upper band gives you a visual idea of the upside range from those past examples.
* It is not a guaranteed target.
### Lower Band
The lower band shows the weaker side of historical outcomes.
It means:
* Some similar historical setups moved worse than the average.
* The lower band gives you a visual idea of downside risk from those past examples.
* It is not a guaranteed support level.
### Band Width
The space between the bands matters.
* Tight bands mean historical outcomes were more consistent.
* Wide bands mean historical outcomes were scattered and less reliable.
* A forecast with wide bands should be treated with more caution.
---
## Main Inputs
### Non-Repaint Mode
**Default: On**
This controls whether the forecast uses the live candle or the last completed candle.
Use **Non-Repaint Mode On** when:
* You want more stable signals.
* You want the forecast to update only after the candle closes.
* You care about cleaner historical testing.
Use **Non-Repaint Mode Off** when:
* You want the forecast to react during the current live candle.
* You accept that the forecast may change before the candle closes.
For most use cases, leave this **On**.
---
## Model Group
### Forecast Horizon
This controls how far into the future the indicator projects.
Example:
* On a daily chart, `20` means 20 trading days.
* On a 1-hour chart, `20` means 20 hours.
* On a 5-minute chart, `20` means 20 five-minute candles.
Use a lower value when:
* You are trading short-term moves.
* You want a tighter forecast window.
* You do not want the projection stretched too far.
Use a higher value when:
* You are looking for swing-trade context.
* You want to see the broader projected path.
* You are using higher timeframes.
A practical range is usually:
* `10–20` for shorter-term analysis.
* `20–50` for swing-style analysis.
---
### Search Depth
This controls how much history the engine searches.
Example:
* `1000` means the engine searches roughly 1,000 prior bars.
* `2000` means it searches more history.
* `500` means it searches less history.
Use a higher Search Depth when:
* You want a larger historical sample.
* You are on a short timeframe with lots of bars.
* You want more possible market-state comparisons.
Use a lower Search Depth when:
* You want the model to focus on more recent market behavior.
* You are on a slower chart like daily or weekly.
* You want less influence from older market regimes.
The tradeoff is simple:
* More history gives more examples.
* Less history may be more relevant to the current market regime.
---
### Pattern Matches
This controls how many of the closest historical matches are used.
This is one of the most important inputs.
If set to `30`, the engine finds the **30 closest historical market states** and builds the forecast from those.
Use fewer matches when:
* You want stricter, more specific comparisons.
* You want only the closest historical examples.
* You are okay with a forecast that may be more reactive.
Use more matches when:
* You want a smoother forecast.
* You want less noise from individual examples.
* You want a broader historical sample.
General interpretation:
* `10–20` = stricter, more selective.
* `25–40` = balanced.
* `50+` = broader, smoother, but less specific.
---
### Weight Closer Matches
This controls whether the best matches receive more influence.
When turned **On**:
* The closest historical matches matter more.
* Weaker matches still count, but less heavily.
* The forecast becomes more focused on the most similar examples.
When turned **Off**:
* Every selected match is treated equally.
* The forecast becomes more democratic.
* A very close match and a weaker match have the same influence.
For most users, leave this **On**.
---
## Advanced Model Inputs
### Forecast Model
This chooses how the engine defines the market environment.
All models use:
* EMA trend.
* RSI momentum.
* ATR volatility.
The difference is how each model emphasizes those ingredients.
---
### Conservative
Use **Conservative** when you want a slower, smoother model.
It is designed to:
* React less aggressively.
* Favor more stable market environments.
* Put more importance on trend and volatility.
* Reduce noisy forecast changes.
Best for:
* Daily charts.
* Swing trading.
* Slower-moving stocks or ETFs.
* Users who want fewer false shifts.
---
### Balanced
Use **Balanced** as the general-purpose default.
It is designed to:
* Give trend, momentum, and volatility a normal balance.
* Work across many markets.
* Avoid being too slow or too fast.
Best for:
* Most users.
* Most chart timeframes.
* General market forecasting.
* Starting point before testing other models.
---
### Aggressive
Use **Aggressive** when you want a faster model.
It is designed to:
* React more quickly to changing momentum.
* Give more influence to short-term market shifts.
* Be more sensitive to fresh moves.
Best for:
* Intraday trading.
* Fast-moving markets.
* Crypto.
* Momentum names.
* Traders who want earlier, more responsive shifts.
The downside is that it may be noisier.
---
### Trend Following
Use **Trend Following** when you want the model to emphasize persistent directional moves.
It is designed to:
* Care more about trend structure.
* Care less about short-term momentum noise.
* Favor markets that continue moving in the same direction.
Best for:
* Strong trending stocks.
* Indexes.
* Breakout environments.
* Higher-timeframe directional trading.
This model is less ideal in sideways or choppy markets.
---
### Mean Reversion
Use **Mean Reversion** when you want the model to focus on stretched conditions.
It is designed to:
* Emphasize momentum extremes.
* Look for environments where price may snap back or reverse.
* Care less about long-term trend persistence.
Best for:
* Range-bound markets.
* Overbought/oversold setups.
* Countertrend analysis.
* Shorter-term reversal ideas.
This model may fight strong trends, so use it carefully in momentum-heavy markets.
---
## Historical Lookback Inputs
### Lookback Bars
This lets you move the forecast backward in time.
Example:
* `0` means current forecast.
* `50` means show what the forecast would have looked like 50 bars ago.
* `250` means show what the forecast would have looked like 250 bars ago.
Use this for:
* Visual backtesting.
* Studying old setups.
* Checking whether the forecast was useful historically.
* Comparing forecast paths against what actually happened.
This is one of the most valuable testing features.
---
### Lock to Candle
This lets you anchor the forecast to a specific candle time instead of a simple bar offset.
Use it when:
* You want to test a specific time of day.
* You trade a regular session open.
* You want repeatable historical anchors.
Example:
* You can lock to the 13:30 UTC candle, which often corresponds to the U.S. stock market open during daylight saving time.
When this is off, the indicator uses **Lookback Bars** instead.
---
### Days Back
This works with **Lock to Candle**.
It tells the indicator how many matching anchor candles to go back.
Example:
* `0` = most recent matching candle.
* `1` = one matching session back.
* `2` = two matching sessions back.
Use this when:
* You want to test the most recent open.
* You want to test yesterday’s open.
* You want to step through past sessions one by one.
---
### Hour UTC
This is the UTC hour used for candle locking.
Use it with **Minute UTC** to identify the exact candle you want.
Example:
* `13` means 13:00 UTC.
* Combined with `30`, it means 13:30 UTC.
This is useful because TradingView symbols and sessions can vary, but UTC gives a consistent anchor.
---
### Minute UTC
This is the UTC minute used for candle locking.
Example:
* Hour UTC = `13`
* Minute UTC = `30`
Together, that means:
* Lock to the 13:30 UTC candle.
Use this for precise historical testing.
---
### Auto Previous Session
This controls what happens if today’s target candle has not printed yet.
When turned **On**:
* The indicator automatically uses the most recent previous matching candle.
* This keeps the forecast visible even before today’s target time exists.
When turned **Off**:
* If today’s target candle has not printed, the lock may show no match and fall back.
For most users, leave this **On**.
---
## Bias Logic Inputs
### Bias Threshold %
This controls how strong the bull or bear probability must be before the indicator labels the forecast bullish or bearish.
Example:
* If Bias Threshold is `60`, Bull Probability must be at least 60% before a bullish label can appear.
* If Bear Probability is at least 60%, a bearish label can appear.
Use a lower threshold when:
* You want more frequent bias labels.
* You are okay with weaker directional evidence.
Use a higher threshold when:
* You want stricter signals.
* You only want stronger historical agreement.
Practical range:
* `60%` = balanced.
* `70%+` = more conservative.
* `50–55%` = loose and more signal-heavy.
---
### Minimum Bull/Bear Edge %
This controls how large the gap must be between Bull Probability and Bear Probability.
Example:
* Bull Probability = 65%
* Bear Probability = 35%
* Edge = 30 percentage points
If the minimum edge is `15`, this would qualify.
But:
* Bull Probability = 58%
* Bear Probability = 42%
* Edge = 16 percentage points
This may still fail if Bull Probability is below the Bias Threshold.
This input prevents weak differences from being labeled as strong directional bias.
Use a higher edge when:
* You want cleaner bias labels.
* You want the model to avoid borderline calls.
Use a lower edge when:
* You want more frequent directional bias.
* You accept more uncertainty.
---
## Display Inputs
### Show Forecast Midline
This turns the main forecast line on or off.
Turn it **On** when:
* You want to see the projected average path.
Turn it **Off** when:
* You only want the info box probabilities.
* You want a cleaner chart.
---
### Show Confidence Bands
This turns the upper and lower forecast bands on or off.
Turn it **On** when:
* You want to see the historical range of outcomes.
* You care about uncertainty.
* You want to know whether the forecast is tight or messy.
Turn it **Off** when:
* You only want the central forecast.
* The chart feels too cluttered.
---
### Band Width Multiplier
This controls how wide the bands are.
Higher values make the bands wider.
Lower values make the bands tighter.
Use lower values when:
* You want a cleaner, tighter visual range.
* You want bands closer to the average forecast.
Use higher values when:
* You want to see a broader range of historical outcomes.
* You want a more conservative uncertainty envelope.
Default `1.0` is a good starting point.
---
## Forecast Midline Style Inputs
### Forecast Midline Color
Controls the color of the main projection line.
The default aqua color makes it visually distinct from price candles.
### Forecast Midline Width
Controls how thick the midline is.
Use a thicker line when:
* You want the forecast to stand out.
* You are using a busy chart.
Use a thinner line when:
* You want a cleaner chart.
* You use many overlays.
### Forecast Midline Type
Controls whether the line is:
* Solid.
* Dashed.
* Dotted.
Solid is usually best for the main forecast line.
---
## Upper Band Style Inputs
### Upper Band Color
Controls the color of the upper forecast band.
The default green tone suggests upside range.
### Upper Band Width
Controls how thick the upper band is.
A thin dashed line usually works best because it should be secondary to the midline.
### Upper Band Type
Controls whether the upper band is solid, dashed, or dotted.
Dashed is usually best because it visually communicates “range” rather than “target.”
---
## Lower Band Style Inputs
### Lower Band Color
Controls the color of the lower forecast band.
The default red tone suggests downside range.
### Lower Band Width
Controls how thick the lower band is.
A thin line keeps it useful without dominating the chart.
### Lower Band Type
Controls whether the lower band is solid, dashed, or dotted.
Dashed is usually best for the same reason as the upper band.
---
## Info Box Inputs
### Show Info Box
This turns the dashboard on or off.
Turn it **On** when:
* You want the probabilities and diagnostics visible.
* You are actively evaluating the forecast.
Turn it **Off** when:
* You only want the chart projection.
* You want a cleaner visual layout.
---
### Info Box Position
Controls where the dashboard appears.
Options:
* Top Left.
* Top Right.
* Bottom Left.
* Bottom Right.
Use the position that interferes least with price action on your chart.
---
### Text Size
Controls the dashboard text size.
Use:
* **Tiny** for compact charts.
* **Small** for normal use.
* **Normal** if you want easier reading.
* **Large** for presentations or large monitors.
---
### Background
Controls the info box background color.
A darker background usually works best on most TradingView chart themes.
### Border
Controls the info box border color.
This helps separate the dashboard from the chart.
### Header Text
Controls the title/header text color.
### Header Background
Controls the top header row background.
This gives the dashboard its polished look.
---
## Info Box Metrics
### Bull Prob %
This shows the weighted percentage of selected historical matches that ended bullish.
Simple meaning:
> Of the similar historical market states, how many tended to move up?
A high number means bullish outcomes dominated the selected historical matches.
---
### Bear Prob %
This shows the weighted percentage of selected historical matches that ended bearish.
Simple meaning:
> Of the similar historical market states, how many tended to move down?
A high number means bearish outcomes dominated the selected historical matches.
---
### Direction Bias
This shows the final label after applying the bias rules.
Possible outputs:
* Bullish.
* Bearish.
* None.
* Weak Data.
* No Matches.
A bullish or bearish label only appears when the probability and edge requirements are met.
---
### Bull/Bear/Flat
This shows how many selected matches ended:
* Bullish.
* Bearish.
* Flat.
Example:
* `18 / 9 / 3`
This means:
* 18 bullish historical outcomes.
* 9 bearish historical outcomes.
* 3 flat historical outcomes.
This gives you a quick look at the underlying distribution.
---
### Match Count
This shows how many historical matches were actually used.
If Pattern Matches is set to `30`, Match Count should usually show `30`.
If it shows less, there may not have been enough valid historical data.
---
### Fit Quality
This tells you how closely the selected historical matches resemble the current market state.
High Fit Quality means:
* The current market environment closely resembles the selected historical examples.
Low Fit Quality means:
* The engine found matches, but they were not very close.
Important:
* Fit Quality is not win rate.
* Fit Quality is not probability.
* Fit Quality is not accuracy.
* It only measures how good the historical comparisons are.
Best interpretation:
* High Fit Quality + strong Bull/Bear Probability = more compelling.
* High Fit Quality + split probabilities = similar markets existed, but outcomes were mixed.
* Low Fit Quality = be cautious.
---
### Model
This shows which Forecast Model is active.
Examples:
* Balanced.
* Conservative.
* Aggressive.
* Trend Following.
* Mean Reversion.
This is useful for screenshots and reviewing past setups.
---
### Anchor
This tells you where the forecast is anchored.
Examples:
* `0 bars · NR` means current forecast using Non-Repaint Mode.
* `50 bars · NR` means historical forecast from 50 bars ago.
* `Locked` means it is anchored to a specific UTC candle.
This helps you know whether you are looking at a current forecast or a historical replay.
---
### Search Depth
This shows the actual number of bars being searched.
It may be lower than your input if the chart does not have enough loaded history.
---
## Best Practical Way to Use It
A clean workflow would be:
* Start with **Balanced** model.
* Keep **Non-Repaint Mode On**.
* Use **Pattern Matches around 30**.
* Use **Search Depth around 1000**.
* Watch **Fit Quality**.
* Watch **Bull/Bear Probability**.
* Treat the forecast line as a scenario path, not a guaranteed prediction.
* Use **Lookback Bars** to test whether the forecast was historically useful.
* Avoid trusting any forecast where the bands are very wide and probabilities are split.
The strongest setup is usually when:
* Fit Quality is high.
* Bull or Bear Probability is clearly dominant.
* The forecast bands are not extremely wide.
* The projection agrees with price structure.
インジケーター
Wedge Polaris [JOAT]Wedge Polaris
Wedge Polaris is a multi-pattern auto-detector. It identifies five distinct converging-channel pattern families from zigzag pivots — Ascending Triangle, Descending Triangle, Symmetric Wedge, Rising Wedge, Falling Wedge — and on confirmed breakout projects a three-target ladder (Fibonacci times ATR times historical-duration blend). Pattern statistics, breakout probabilities, target hit / miss tracking, completed-pattern history, and a right-side bias gauge are all surfaced on the chart.
What makes it different
Most wedge / triangle indicators detect a single pattern type. This script classifies five families using slope analysis of the top and bottom channels.
Collinearity tolerance is adaptive. It scales with ATR percentile so the script is strict in low-volatility regimes (clean pivots) and forgiving in high-volatility regimes (noisier pivots) without being retuned.
Breakout probability is computed from the standard-normal CDF on the z-scored duration of the current pattern against a rolling history of completed patterns. Class-conditional bull / bear probabilities are blended with net-volume polarity inside the pattern.
A strong-break filter requires the breakout candle's body Z-score to exceed three AND its 25th or 75th body percentile to be on the correct side of the boundary. This distinguishes decisive expansion from noise probes.
A completed-pattern history strip tracks the last ten patterns with their outcomes (Target 1 hit, Stop hit, expired) so you can see the recent quality of the detector on the current instrument.
How it works
Zigzag pivots are tracked via standard ta.pivothigh and ta.pivotlow with parallel arrays.
Collinearity is tested between the two outer pivots and a middle pivot. Tolerance widens in high-volatility environments.
Two collinear lines (one for highs, one for lows) form a channel. Convergence, alignment, and inside-the-channel tests confirm a valid pattern.
Slope analysis classifies the pattern family.
On breakout confirmation, target lines are projected. T1 equals entry plus or minus 0.5 times width. T2 equals entry plus or minus 1.0 times width. T3 equals entry plus or minus (1.618 times width plus atr-z times ATR). SL is symmetric at width times the user SL multiplier.
Each completed pattern's duration and direction is appended to a 200-entry history buffer, which feeds the probability statistics.
Reading the chart
Pattern channels: two lines plus a linefill between them. Line style differentiates pattern type (solid for triangles, dashed for wedges, dotted for channels).
Completed-pattern ghost outlines fade for a user-configurable number of bars after the pattern ends.
A pattern stats label at the channel midpoint reads, for example: WEDGE 23 bars P(bull) 64% P(break) 78% ATR x.xx.
A three-target ladder on confirmed breakout: entry / SL / T1 / T2 / T3 horizontal lines plus price-only right-edge labels (no arrows, no shout text). Linefills shade the risk and reward zones.
Volume confluence: if breakout-bar volume exceeds 1.5 times the 20-bar SMA, target labels append VOL+.
A right-side bias gauge: 21-segment vertical band with a pointer.
Optional right-side breakout-probability gauge (separate from bias gauge).
A completed-pattern history strip above past pattern midpoints.
A strong-break flash: bgcolor pulse on the strong-break bar.
Signals
Pattern formed
Bullish / bearish breakout
Strong bullish / strong bearish breakout
Target 1 / Target 2 / Target 3 hit
Stop loss hit
All gated on barstate.isconfirmed or barstate.ishistory. No future references.
Inputs
Zigzag : zigzag length.
Collinearity : base tolerance (as a fraction of price).
Breakout : SL width multiplier, target line extension bars.
Visual : bullish / bearish colors, bias gauge, breakout probability gauge, pattern stats label, target ladder.
On-chart : completed-pattern history, ghost outlines extension bars, line-style differentiation.
Dashboard : position, size.
How traders use this
Pattern plus volume : a confirmed breakout with the VOL+ tag and a high P(bull) reading is a higher-probability continuation entry.
Mean-reversion fades : when a wedge's third or later touch happens at the convergence apex with low P(break), the pattern often fails to break. Fade trades inside the channel are possible.
R-multiple management : once target 1 prints, common practice is to move stops to breakeven and let the remainder run for T2 / T3. The target ladder makes this straightforward.
Pattern history : the strip lets you assess whether the detector is performing well on the current instrument and timeframe before sizing up new signals.
Limitations
Pivot detection inherits the right-bar delay of ta.pivothigh and ta.pivotlow. Patterns are confirmed only after the pivot-right-window passes.
Collinearity tolerance is a heuristic. Extremely volatile or extremely clean charts may need tuning of the base tolerance.
The class-conditional probability statistics need a minimum sample (five completed patterns) before they are meaningful.
Pattern recognition is fundamentally interpretive. Even confirmed patterns fail.
Compatibility
Pine Script v6 open-source indicator. Imports TradingView/ta/12 for ta.atr2 (series-period ATR used in duration-adaptive target projection). Any symbol, any timeframe. No request.security calls.
Defaults
7-bar zigzag, 0.5 percent base collinearity tolerance, mint / red colors, top-right medium dashboard. For very fast charts shorten the zigzag length. For slow charts lengthen it and tighten the collinearity tolerance.
インジケーター
OMSF Learning SpaceWelcome to the Omsf Learning Space.
This is not a commercial "holy grail" indicator, nor is it a rigid, corporate course. This is my personal sandbox and educational archive where I dissect market structure, breakout mechanics, and reversal setups.
THE CORE PHILOSOPHY:
Everything in this space is built upon my Omsf (Objective Market Structure Framework). Whether you are a beginner trying to understand how charts breathe, or an advanced trader looking for mechanical rules – this space is designed to give you a clear, visual reality check.
WHAT TO EXPECT:
This script is dynamic and will change organically over time. As I publish new trading ideas, research notes, or structural concepts, this indicator will adapt. Old parts might get swapped out, new experiments will be added, or it might evolve into a v2.0 down the road. There is no fixed schedule. It updates when it updates.
CURRENT VERSION (Launch):
Right now, we are looking at the foundational mechanics: Classic, rigid Pivots alongside the dynamic volatility adjustment of the Omsf.
- Toggle "Exercise 1" to stress-test both engines in the configuration sandbox.
- Toggle "Outlook" to see how classic Pivots perform when taken literally as a trend filter.
Enjoy the sandbox, play with the parameters, and use the Bar Replay. See you in the ideas section!
— arni インジケーター
Takhtupuria Pro master V2..7Takhtupuria Pro V2
The Takhtupuria Pro V2 is an advanced, all-in-one trading indicator designed for precision scalping and trend-following. By integrating Golden Ratio logic, EMA crossovers, and Fibonacci levels, this tool provides a comprehensive system for modern traders.
Key Features:
Golden Ratio Signals: Integrated logic to identify potential "Golden Ratio" setups for both standard and reversed market trends.
Scalping Precision: Features a high-speed 5 EMA + 200 EMA trigger system, optimized for rapid scalping execution.
Fibonacci Integration: Automatic plotting of key Fibonacci levels (Top, Mid, Bottom) to identify support and resistance zones instantly.
Advanced Filters: Includes customizable distance (%) and candle-count settings to ensure high-probability entry points.
Visual Signals: Automated Buy/Sell arrows with configurable visual alerts for real-time decision-making.
How to Use:
Inputs: Adjust your "Distance %" and "Candle Count" to calibrate the sensitivity of the scalping system to your specific asset.
Fibonacci: Set your preferred Fibonacci Timeframe (e.g., 15 minutes) to align with your overall strategy.
Style: Fully customize the colors for EMA lines, Fib levels, and signal arrows to match your chart's unique layout.
Designed by Takhtupuria for traders who require a multi-layered analytical approach in a single, powerful tool. インジケーター
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Smart Trend Flow Pro [MarkitTick]💡 Navigating modern market structures requires a robust mechanism capable of filtering out transient noise while capturing the dominant directional vectors. The Smart Trend Flow pro is an advanced analytical framework designed to dynamically track market momentum and volatility, transforming complex price action into a highly readable, visual heatmap. By synthesizing trend identification with continuous volatility scaling, this tool aims to provide clarity in both ranging environments and high-expansion phases, allowing for more structured and disciplined market analysis.
✨ Originality and Utility
● A Paradigm Shift in Trend Visualization
Traditional channel-based indicators often suffer from severe lag or become entirely unreadable during periods of intense market contraction. The utility of this script lies in its adaptive ability to map structural boundaries and instantly correlate them with localized market energy. By discarding static thresholds in favor of a dynamic, self-adjusting baseline, the tool presents a unified view of both direction and conviction.
● Beyond Binary Signals
Standard indicators frequently rely on binary conditions—such as a simple moving average crossover—which ignore the underlying volatility context. This script pioneers a synthesized approach where the strength of a trend is continuously evaluated against its own historical variance. This allows users to visually differentiate between a low-conviction drift and a highly energized breakout, providing a much richer context for potential trade management and risk assessment.
🔬 Methodology and Concepts
● Dynamic Boundary Engine
At the core of the script is a reactive boundary detection mechanism. Rather than projecting fixed bands, the engine establishes fluid upper and lower parameters based on recent localized extremes. These boundaries can be structurally smoothed using various adaptive algorithms, effectively tuning the sensitivity of the channel to match the specific rhythm of the asset being analyzed.
● Volatility Normalization Process
To accurately gauge market energy, the framework continuously measures the distance between the established boundaries. This raw measurement is then subjected to a rigorous statistical normalization process. By evaluating current fluctuations against a rolling historical baseline, the engine maps the resulting variance onto a bounded curvilinear scale. This abstract transformation isolates the pure kinetic energy of the market, stripping away absolute price dependencies to provide a standardized metric of volatility expansion and contraction.
● Integrated State Tracking
The logical engine monitors the interaction between the closing prices and the smoothed boundary parameters. A structural shift is recognized only when price definitively breaches and sustains its position relative to these dynamic thresholds. This state-tracking ensures that the primary directional bias is maintained until a statistically significant reversal occurs, minimizing false positives during minor retracements.
🎨 Visual Guide
● Color-Coded Heatmap Candles
The primary visual feature is the complete transformation of the standard candlestick chart into a continuous heatmap. The colors directly correspond to the synchronized output of the trend direction and the normalized volatility metric.
Bullish Gradients: When the market establishes an upward bias, the candles transition through a cool-to-hot spectrum. Deep, cold colors represent low-volatility accumulation phases, while bright, hot neon colors signify intense, high-volatility bullish expansion.
Bearish Gradients: Conversely, downward structural shifts are mapped using a separate color spectrum. Dark, muted tones indicate slow, grinding bearish action, whereas vivid, hot colors highlight rapid, high-volatility sell-offs.
Neutral States: When the price resides within the core boundary parameters, demonstrating no clear directional dominance, the candles default to a flat, neutral gray to reduce visual noise.
● Signal Markers
Buy Labels: Distinct markers appear precisely below the price action when the engine confirms a definitive upward structural breach.
Sell Labels: Clear markers are printed above the price action upon the confirmation of a downward structural breach.
📖 How to Use
● Interpreting the Heatmap
The most effective way to utilize this tool is to read the candle colors as a topographical map of market energy. A transition from a neutral state into a cold bullish or bearish color suggests the early formation of a trend. As the colors heat up and transition toward their neon extremes, it confirms that the directional move is being supported by expanding volatility, which often characterizes the most robust phase of a trend.
● Managing Trend Exhaustion
Traders can monitor the intensity of the heatmap to gauge potential momentum decay. If a strong trend has been characterized by hot, neon colors, a gradual cooling off—where the colors revert to darker, colder shades—may indicate that the localized volatility is subsiding, suggesting potential consolidation or a pending structural shift.
● Confirming Breakouts
The printed Buy and Sell labels serve as structural confirmation points. These markers are best utilized not in isolation, but in confluence with the heatmap. A signal label accompanied by an immediate transition into a high-volatility color spectrum carries significantly more analytical weight than a signal that remains mired in a cold or neutral visual state.
⚙️ Inputs and Settings
● Channel Settings
Channel Length: Determines the primary lookback window for establishing the core upper and lower boundaries. Increasing this value creates a wider, slower-moving channel, while decreasing it makes the system highly sensitive to recent price action.
Channel MA Type: Allows the user to apply different smoothing algorithms to the boundaries. Options range from the standard baseline to advanced weighting methods, providing precise control over signal reactivity.
● Analytics Settings
Squeeze/Z-Score Length: Defines the historical window used to evaluate the relative volatility. A longer length provides a smoother, more macro-level volatility assessment, while a shorter length makes the heatmap highly reactive to sudden micro-expansions.
● Candle Heatmap Settings
Bullish/Bearish Color Controls: Fully customizable inputs allowing the user to define the exact hex values for the cold and hot extremes of both the bullish and bearish spectrums.
Neutral Market Base: The default color applied when the market is bound within the channel without a confirmed directional state.
● Signal Settings
Label Colors: Configurable color selections for the printed Buy and Sell confirmation markers.
🔍 Deconstruction of the Underlying Scientific and Academic Framework
● Topological Price Mapping
At a fundamental level, the script treats financial time-series data not as discrete data points, but as a continuous topological surface. By evaluating the highest and lowest ranges over a specified temporal window, it effectively creates a rolling bounding box that encapsulates the probable distribution of future price vectors. The application of sophisticated moving average algorithms to these boundaries acts as a low-pass filter, mathematically attenuating high-frequency noise and exposing the true underlying macroeconomic drift.
● Non-Linear Variance Scaling
The most complex aspect of the engine is its approach to variance. Standard deviation on its own is an unbounded metric, making it difficult to utilize in a standardized visual format. The script solves this by isolating the width of the bounding box and comparing it against its own moving average and standard deviation. This transforms the raw width into a standardized probabilistic metric.
● The Sigmoidal Activation Function
To achieve the seamless visual gradient, this standardized variance must be mapped onto a finite plane. The engine employs a logistic function—specifically, a sigmoidal activation curve—to compress the unbounded variance data strictly between a 0 and 100 scale. This non-linear mapping ensures that the visual heatmap remains highly sensitive to subtle shifts around the mean, while gracefully asymptotically compressing extreme, outlier volatility spikes, thereby maintaining absolute visual coherence regardless of the asset's inherent behavior.
⚠️ Disclaimer
All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. I expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion. インジケーター
Thorp Kelly Risk Engine [JOAT]Thorp Kelly Risk Engine
Introduction
Thorp Kelly Risk Engine is a risk-quality study that tracks virtual outcomes, Kelly estimates, Bayesian shrinkage, drawdown pressure, survival score, and deployment state.
This open-source indicator is designed as a context tool, not a standalone trading system. It focuses on explaining the current market state with restrained visuals and confirmed-bar logic where signals are used.
Core Concepts
1. Virtual Outcome Tracker
Trend setups create virtual reward/risk outcomes measured in ATR units.
2. Kelly Estimate
Win rate and payoff ratio produce full and fractional Kelly-style estimates.
3. Bayesian Shrinkage
A prior win rate reduces overconfidence when sample size is small.
4. Survival and Desk Score
Drawdown, volatility, signal density, convexity, and uncertainty combine into risk state.
kelly = (payoff * winRate - lossRate) / payoff
Features
Virtual outcome sampling
Fractional and Bayesian Kelly estimates
Drawdown throttle and volatility brake
Ruin-adjusted Kelly
Prime, defense, and lockdown states
Input Parameters
Trend, RSI, and ATR lengths
Reward and risk ATR
Kelly fraction and max allocation
Minimum sample and drawdown brake
Display toggles and HUD position
How to Use This Script
Use TKR as risk context. Prime states suggest healthier virtual samples; defensive and lockdown states warn that model risk is elevated.
Limitations
The script uses historical OHLCV data and cannot know future prices.
Signals and states can be late during fast reversals because confirmed-bar logic is used to reduce repainting.
Model outputs should be interpreted with market context, risk controls, and independent analysis.
No visual state should be treated as a certain trade outcome.
Originality Statement
TKR is original in combining Kelly math, Bayesian shrinkage, drawdown throttling, survival scoring, and uncertainty cones.
Disclaimer
This indicator is provided for educational and informational purposes only. It is not financial advice, investment advice, or a recommendation to buy or sell any financial instrument. All calculations are derived from historical market data and may produce inaccurate readings in some market conditions. No indicator can predict future market behavior. Use proper risk management and independent judgment.
-Made with passion by jackofalltrades
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Structural Inefficiency Radar [JOAT]Structural Inefficiency Radar
Introduction
Structural Inefficiency Radar measures regression fair value, residual z-score, path asymmetry, volatility clustering, and repair/extension force.
This open-source indicator is designed as a context tool, not a standalone trading system. It focuses on explaining the current market state with restrained visuals and confirmed-bar logic where signals are used.
Core Concepts
1. Regression Fair Value
A linear regression spine represents statistical fair value.
2. Residual Z-Score
Distance from fair value is normalized by residual standard deviation.
3. Path Asymmetry
Upward and downward path movement are compared to detect directional distortion.
4. Repair and Extension Force
Deviation, slope, asymmetry, and clustering determine whether price is extending or repairing.
z = (close - fairValue) / residualDeviation
Features
Fair-value spine
Inner and outer inefficiency bands
Residual z-score
Repair and extension scoring
E+ and E- labels plus repair markers
Input Parameters
Regression and residual windows
Deviation gate
Repair quality gate
Cooldown
Bands, candles, and HUD toggles
How to Use This Script
Use the spine and bands to frame structural stretch. Extension labels indicate directional inefficiency; gold markers indicate fair-value repair.
Limitations
The script uses historical OHLCV data and cannot know future prices.
Signals and states can be late during fast reversals because confirmed-bar logic is used to reduce repainting.
Model outputs should be interpreted with market context, risk controls, and independent analysis.
No visual state should be treated as a certain trade outcome.
Originality Statement
SIR is original in combining regression residuals, path asymmetry, clustering, repair force, and extension force.
Disclaimer
This indicator is provided for educational and informational purposes only. It is not financial advice, investment advice, or a recommendation to buy or sell any financial instrument. All calculations are derived from historical market data and may produce inaccurate readings in some market conditions. No indicator can predict future market behavior. Use proper risk management and independent judgment.
-Made with passion by jackofalltrades
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Probabilistic Regime Tensor [JOAT]Probabilistic Regime Tensor
Introduction
Probabilistic Regime Tensor classifies market state into Trend, Mean Reversion, or Shock using logistic transforms of statistical inputs.
This open-source indicator is designed as a context tool, not a standalone trading system. It focuses on explaining the current market state with restrained visuals and confirmed-bar logic where signals are used.
Core Concepts
1. Trend Probability
Regression slope, variance ratio, and normalized return behavior feed the trend model.
2. Mean-Reversion Probability
Contracting variance ratio, weak slope, and autocorrelation behavior feed the reversion model.
3. Shock Probability
Volatility rank and fast/slow return divergence feed the shock model.
4. Probability Entropy
The three probabilities are normalized and entropy shows whether the classifier is decisive or uncertain.
pTrend = logistic(trendInput) / probabilitySum
Features
Three-state probability model
Trend, mean, and shock probabilities
Dominant confidence and entropy
Sparse regime labels
Movable quant HUD
Input Parameters
Statistical and fast windows
Dominant probability gate
Cooldown
Candle and HUD toggles
HUD position selector
How to Use This Script
Use PRT to decide which style of analysis is more appropriate: continuation, mean reversion, or volatility caution.
Limitations
The script uses historical OHLCV data and cannot know future prices.
Signals and states can be late during fast reversals because confirmed-bar logic is used to reduce repainting.
Model outputs should be interpreted with market context, risk controls, and independent analysis.
No visual state should be treated as a certain trade outcome.
Originality Statement
PRT is original in using normalized logistic probabilities and entropy to classify market regime.
Disclaimer
This indicator is provided for educational and informational purposes only. It is not financial advice, investment advice, or a recommendation to buy or sell any financial instrument. All calculations are derived from historical market data and may produce inaccurate readings in some market conditions. No indicator can predict future market behavior. Use proper risk management and independent judgment.
-Made with passion by jackofalltrades
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Trend Volatility RegimeThe Trend Volatility Regime is an all-in-one trend-following model that identifies changes in the market regime by combining moving-average crossover signals with volatility-adaptive trailing stops. It features an integrated backtesting engine that provides institutional-grade insights into historical strategy performance, along with a built-in alert system that notifies investors in real time when regime changes occur. The model integrates seamlessly into the price chart and presents backtest results in a clear, color-coded table benchmarked against buy-and-hold.
At its core, the model combines two complementary trend detection components to determine the prevailing market regime. The first component identifies the underlying structural trend using a volatility-adjusted moving-average crossover based on the spread between fast and slow moving averages. The second component identifies trend reversals using an adaptive trailing stop based on changes in price and volatility. Bullish and bearish regimes occur when both crossover and volatility signals are directionally aligned, while conflicting signals result in neutral regimes.
Bullish Crossover Signal = (Fast MA – Slow MA) > (ATR × Trend Margin)
Bearish Crossover Signal = (Fast MA – Slow MA) < –(ATR × Trend Margin)
Bullish Volatility Signal = Price > (Highest Price – (Volatility × Stop Factor))
Bearish Volatility Signal = Price < (Lowest Price + (Volatility × Stop Factor))
By default, the model applies an asymmetric regime design in which conflicting signals default to a bullish regime unless half-equity positions are enabled in the menu. This asymmetric design reflects the tendency of risk assets to deteriorate gradually while recovering more abruptly. The moving-average component captures the slower deterioration typically observed during market tops, while the trailing stop component responds more dynamically to faster reversals typically observed at market bottoms. This helps reduce overreaction to corrections during uptrends while still allowing for faster re-entry following sharp recoveries. To evaluate the performance of different parameter configurations, the model includes a built-in table with the following metrics:
CAGR = Compounded Annual Growth Rate.
Excess = CAGR in excess of buy-and-hold.
Sharpe = CAGR per unit of standard deviation.
Sortino = CAGR per unit of downside deviation.
Calmar = CAGR relative to maximum drawdown.
Max DD = Largest peak-to-trough decline in value.
Alpha (α) = Excess annualized risk-adjusted returns.
Win Rate = Ratio of profitable trades to total trades.
Profit Factor = Total gross profit per unit of losses.
Expectancy = Average expected return per trade.
Turnover = Average annualized change in exposure.
This indicator is designed with flexibility in mind, enabling users to specify the start date of the backtesting period, the preferred trend type, volatility type, and regime visualization. Supported regime visualizations include line, candle, and shaded background. Supported moving-average types include the Exponential Moving Average (EMA), Simple Moving Average (SMA), Wilder’s Moving Average (RMA), and Weighted Moving Average (WMA). Supported volatility types include the Average True Range (ATR), Standard Deviation (SD), and Mean Absolute Deviation (MAD). Supported price sources include Close, HL2, HLC3, and OHLC4. The table follows an intuitive color-coded logic that allows for quick performance comparison against buy-and-hold (B&H):
CAGR = Green indicates above 0%, while red indicates below 0%.
Excess = Green indicates above 0%, while red indicates below 0%.
Sharpe = Green indicates better than B&H, while red indicates worse.
Sortino = Green indicates better than B&H, while red indicates worse.
Calmar = Green indicates better than B&H, while red indicates worse.
Max DD = Green indicates better than B&H, while red indicates worse.
Alpha (α) = Green indicates above 0%, while red indicates below 0%.
Win Rate = Green indicates above 50%, while red indicates below 50%.
Profit Factor = Green indicates above 2, while red indicates below 1.
Expectancy = Green indicates above 0%, while red indicates below 0%.
In summary, the Trend Volatility Regime is a comprehensive trend-following tool designed to help investors stay on the right side of the market by identifying key changes in the market regime. By combining volatility-adjusted moving-average crossover signals with adaptive volatility-based trailing stops, the model seeks to maximise participation during uptrends while reducing exposure during sustained downtrends. While the model provides valuable historical insights, users should remain mindful that past results may not necessarily persist under future market conditions. インジケーター
