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
Indicator
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
Indicator
Markowitz Frontier Compass [JOAT]Markowitz Frontier Compass
Introduction
Markowitz Frontier Compass compares the chart symbol against a peer basket using inverse-volatility weights, correlation drag, diversification benefit, factor scores, and active risk budget.
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. Inverse-Volatility Basket
Each peer receives an inverse-volatility weight to form a portfolio-context benchmark.
2. Correlation Drag
Average pairwise correlation reduces diversification value when assets move together.
3. Factor Composite
Quality, momentum, low-volatility, and carry-style behavior are combined.
4. Risk Budget
Institutional grade, entropy, concentration, and factor state become active or defensive budget context.
frontierScore = efficiency + diversification - correlationDrag - concentration
Features
Peer basket context
Inverse-volatility weighting
Correlation drag and diversification benefit
Factor composite and allocation entropy
Risk-on, defense, and factor-prime states
Input Parameters
Peer symbols
Return window and smoothing
Risk-free annual percent
Correlation stress and concentration gates
Display toggles and HUD position
How to Use This Script
Use MFC as cross-asset context. Risk-on or factor-prime states suggest constructive basket behavior; defense states warn of stress.
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
MFC is original in combining portfolio theory, factor scoring, entropy, and risk-budget logic in one open-source study.
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
Indicator
Indicator
Kinetic Inertia Field [JOAT]Kinetic Inertia Field
Introduction
Kinetic Inertia Field models price like a noisy particle using velocity, acceleration, jerk, kinetic energy, potential displacement, and equilibrium deviation.
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. Velocity and Acceleration
Log returns are normalized by volatility to create velocity, then differentiated into acceleration and jerk.
2. Kinetic Energy
Inverse volatility acts as a mass proxy and squared velocity creates energy context.
3. Equilibrium Displacement
A regression/VWAP blend creates a fair path and ATR-normalized displacement.
4. Inertia Field
Energy, acceleration, and displacement combine into inertial up, inertial down, or elastic state.
kineticEnergy = 0.5 * mass * velocity * velocity
Features
Velocity, acceleration, and jerk model
Kinetic and potential energy scoring
Regression/VWAP equilibrium
Energy rails and impulse trace
K+ and K- labels plus snapback markers
Input Parameters
Velocity smoothing
Volatility memory
Equilibrium horizon
Energy and inertia gates
Cooldown and display toggles
How to Use This Script
Use K+ and K- as confirmed high-energy state changes. Gold markers show elastic snapback conditions.
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
KIF is original in applying kinetic energy, potential displacement, and inertia scoring to price-state analysis.
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
Indicator
Hurst Fractal Regime Atlas [JOAT]Hurst Fractal Regime Atlas
Introduction
Hurst Fractal Regime Atlas estimates persistence and mean-reversion regimes using Hurst approximation, fractal dimension, variance ratio, phase coherence, and tension.
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. Hurst Approximation
Rescaled-range behavior estimates whether price is persistent, random-like, or mean-reverting.
2. Fractal Dimension
The Hurst estimate is converted into a roughness measure using dimension logic.
3. Multi-Horizon Coherence
Micro, meso, and macro Hurst readings are compared for agreement.
4. Adaptive Rails
ATR, volatility cluster, and Hurst distance expand or contract the fractal field.
fractalDimension = 2.0 - hurstBlend
Features
Hurst and fractal dimension estimates
Persistence, reversion, and mixed regimes
Coherence and tension scoring
Adaptive fractal rails
Breakout, mean, fade, and unstable events
Input Parameters
Fractal and short horizon windows
ATR length
Persistence and mean-reversion gates
Cooldown
Rails, candles, and HUD toggles
How to Use This Script
Use the HUD regime first. Persistence supports continuation interpretation; reversion supports fading extremes; high tension warns of disagreement.
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
HFA is original in combining Hurst approximation, variance ratio, coherence, tension, and adaptive rails.
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 Indicator
Gatev Relative Value Arbiter [JOAT]Gatev Relative Value Arbiter
Introduction
Gatev Relative Value Arbiter studies relative value between the chart symbol and a selected peer using beta spread, z-score, stationarity, Kalman residuals, and OU speed.
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. Rolling Beta Spread
The chart log price is modeled against the peer log price with rolling beta and alpha.
2. Spread Z-Score
Residual spread is normalized to identify cheap and rich dislocations.
3. Kalman Residual
A recursive residual estimate adapts to changing pair behavior.
4. Stationarity and OU Speed
Correlation, beta drift, skew, kurtosis, and OU-style speed grade pair quality.
spread = logChart - (alpha + beta * logPeer)
Features
Peer relative-value model
Rolling beta and spread z-score
Kalman residual z-score
Stationarity and cointegration energy proxies
Cheap, rich, prime, broken, and fair-value states
Input Parameters
Peer symbol
Rolling beta and z-score lengths
Entry and exit z thresholds
Minimum correlation
Cooldown and display toggles
How to Use This Script
Choose a logically related peer. Cheap and rich states are most meaningful when pair validity and stationarity remain acceptable.
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
GRA is original in combining rolling beta arbitrage logic, Kalman residuals, OU speed, and stationarity grading.
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
Indicator
Entropic Liquidity Manifold [JOAT]Entropic Liquidity Manifold
Introduction
Entropic Liquidity Manifold builds an adaptive POC-style liquidity mean using volume density, auction entropy, displacement, and release scoring.
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. Adaptive Manifold
The equilibrium updates faster when density and entropy rise.
2. Volume Density
Volume divided by bar range estimates participation concentration.
3. Auction Entropy
Close location identifies whether the auction is balanced or directional.
4. Absorption vs Release
High density with balance supports absorption, while displacement with direction supports release.
manifold := manifold + adaptiveAlpha * (hlc3 - manifold)
Features
Adaptive liquidity mean
Upper and lower shelves
Entropy trace
Absorption node markers
L+ and L- release labels
Input Parameters
Density and entropy memory
Release and absorption gates
Cooldown
Manifold, candle, and HUD toggles
HUD position selector
How to Use This Script
Use the manifold as an adaptive auction reference. Absorption nodes mark balance; L+ and L- mark confirmed directional release.
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
ELM is original in combining adaptive equilibrium, density, entropy, displacement, and release scoring.
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
Indicator
Black Merton Volatility Engine [JOAT]Black Merton Volatility Engine
Introduction
Black Merton Volatility Engine blends multiple realized-volatility estimators with expected-move rails, cone rank, jump pressure, and tail-state classification.
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. Composite Realized Volatility
Close-to-close, Parkinson, Garman-Klass, Rogers-Satchell, and Yang-Zhang-style estimates contribute to the volatility state.
2. Volatility Cone
Current volatility is ranked against a historical cone to identify squeeze and shock conditions.
3. Expected Move Rails
Annualized volatility is converted into a multi-day expected move around price.
4. Tail and Jump Pressure
Large returns, rail breaches, and volatility divergence contribute to tail and jump states.
expectedMove = close * realizedVol * math.sqrt(days / 252)
Features
Composite realized volatility
Expected-move rails
Squeeze and shock regimes
Gamma pin, tail shock, clean expansion, and jump labels
Movable quant HUD
Input Parameters
Fast, base, and slow vol windows
Vol cone window
Expected move days
Squeeze and shock percentiles
Cooldown and display toggles
How to Use This Script
Use the rails as volatility context. Squeeze, shock, tail, and jump states describe volatility conditions, not a certain direction.
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
BMV is original in blending several volatility estimators, cone ranking, jump pressure, and expected-move visualization.
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
Indicator
Veyra Delta Lens [JOAT]Veyra Delta Lens
Introduction
Veyra Delta Lens estimates delta pressure from OHLCV data and converts it into auction pressure, CVD z-score, participation entropy, absorption, and pressure-shift events.
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. Signed Volume Pressure
Candle close location and body impact estimate directional volume pressure.
2. CVD Normalization
Cumulative pressure is normalized so current pressure can be compared with recent history.
3. Participation Entropy
Volume concentration and close location distinguish balanced absorption from directional release.
4. Pressure Envelope
An auction mean and delta rails display pressure on the price chart.
delta = signedVolume * 0.65 + impactVolume * 0.35
Features
Estimated signed volume pressure
CVD z-score and impulse scoring
Absorption and divergence context
Auction mean and pressure rails
Sparse VX+ and VX- labels
Input Parameters
Delta smoothing and impulse memory
CVD normalization window
Participation entropy window
Event score and cooldown
Rails, trace, and candle toggles
How to Use This Script
Use VX+ and VX- labels as confirmed pressure shifts. Gold circles show absorption or divergence conditions aligned with the current regime.
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
Veyra is original in combining estimated delta, CVD normalization, entropy, auction rails, absorption, and divergence in one restrained overlay.
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
Indicator
Orion Regression Field [JOAT]Orion Regression Field
Introduction
Orion Regression Field builds a weighted regression valuation field with standard error bands, curvature options, compression detection, and reprice signals.
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. Weighted Regression
Recent bars can receive more influence while still preserving a full model window.
2. Standard Error Bands
Inner and outer bands show statistical distance from the modeled path.
3. Curvature and Confidence
Optional curvature and R2-style confidence control when the field is considered reliable.
4. Pinch and Reprice
Compression and outer-band reactions create filtered reprice events.
mid = weightedRegression(close, len); band = standardError * multiplier
Features
Weighted regression midline
Inner and outer SEE bands
Optional curvature
Pinch shading and projection field
Filtered reprice labels
Input Parameters
Regression window and projection bars
Curvature toggle and weight floor
Minimum R2 confidence
Inner and outer band multipliers
Pinch ratio and cooldown
How to Use This Script
Use the field as statistical fair-value context. Outer band interaction means stretch, not automatic reversal.
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
Orion is original in combining weighted regression, curvature, standard error fields, compression context, and filtered reprice logic.
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
Indicator
Nexus Kinetic Reactor [JOAT]Nexus Kinetic Reactor
Introduction
Nexus Kinetic Reactor estimates price as a noisy state process. It tracks state, velocity, uncertainty, confidence, and optional projection cones.
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. Recursive State Estimate
A smoothing lambda updates the estimated price state bar by bar.
2. Velocity Regime
Changes in the state estimate create velocity and acceleration-style context.
3. Uncertainty Bands
Noise windows and sigma bands show how uncertain the current estimate is.
4. Confidence Gate
Signals require tracking confidence and expectancy thresholds before labels appear.
state := state + lambdaAdjustment * (price - state)
Features
Recursive price-state estimator
Velocity and acceleration regime logic
Uncertainty bands
Projection cone
Blocked signal markers and dashboard
Input Parameters
Smoothing lambda and noise window
ATR length and velocity threshold
Minimum confidence and expectancy
Band sigma and projection bars
Cone, candle, and panel toggles
How to Use This Script
Use the state estimate and uncertainty bands as kinetic context. Labels only appear when the model clears confidence and expectancy gates.
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
Nexus is original in combining state estimation, velocity gating, uncertainty bands, expectancy filtering, and projection visualization.
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
Indicator
Helios Pullback Framework [JOAT]Helios Pullback Framework
Introduction
Helios Pullback Framework evaluates pullback quality using ALMA trend stack, regression trajectory, pullback depth, wick recovery, liquidity capture, compression, and HTF bias.
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. ALMA Trend Stack
Fast and slow ALMA lines define execution and institutional spines.
2. Regression Trajectory
A regression envelope provides dynamic path context rather than static zones.
3. Pullback Quality
Pullback depth, wick recovery, phase impulse, and stretch are scored.
4. Liquidity Capture
Confirmed sweeps of recent highs or lows contribute only when aligned with bias.
score = bias + pullDepth + wickRecovery + sweep + compression + htf
Features
ALMA trend stack
Regression trajectory envelope
Pullback depth and wick recovery scoring
Liquidity capture markers
Sparse P+ and P- labels
Input Parameters
ALMA lengths
Volatility and trajectory length
HTF and optional session gate
Signal score, cooldown, and max stretch
Display toggles
How to Use This Script
Use P+ and P- labels as pullback-quality events inside an existing bias. Gold circles mark liquidity capture without full confirmation.
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
Helios is original in replacing supply/demand boxes with a cleaner model that scores pullback elasticity, trajectory, and liquidity capture.
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
Indicator
Echelon Trend Filter [JOAT]Echelon Trend Filter
Introduction
Echelon Trend Filter is a recursive digital trend filter that creates a clean trend spine, optional step-state transitions, EMA context, and pivot zones.
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. Recursive Filter
The source is smoothed recursively to reduce minor bar noise.
2. Step-State Transitions
Optional step mode holds the trend state until a meaningful transition occurs.
3. EMA Context
A long EMA gives broader context for the filtered state.
4. Pivot Context Zones
Recent pivots create reference zones around prior turning areas.
state = step > step ? 1 : step < step ? -1 : state
Features
Digital trend spine
Optional step-state behavior
EMA cloud context
Pivot context zones
Confirmed transition alerts
Input Parameters
Filter length and source
Step mode toggle
Institutional EMA length
Pivot length and zone width
Cloud, candle, and panel toggles
How to Use This Script
Use the spine as trend context. Long and short transition labels mark confirmed state changes, while the EMA cloud helps judge broader alignment.
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
Echelon is original in combining recursive smoothing, held state transitions, EMA context, and pivot zones into a minimal trend overlay.
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
Indicator
Concordance Execution Model [JOAT]Concordance Execution Model
Introduction
Concordance Execution Model is a strategy framework that integrates regime detection, trend bias, structure direction, pressure, relative volume, regression confidence, and ATR risk management.
This open-source strategy is a research framework, not a performance claim. It demonstrates how rule-based confluence, realistic costs, risk controls, and confirmed-bar execution can be organized in Pine Script v6.
Core Concepts
1. Regime Filter
ALMA, EMA, structure, and regression confidence determine whether long or short entries are allowed.
2. Multi-Factor Entry Gate
Entries require confirmed structure or pullback context plus pressure, RVOL, and cooldown alignment.
3. ATR Risk Model
Stops, targets, trailing stops, structure invalidation, and time stops manage exits.
4. Confirmed-Bar Execution
Entry conditions are evaluated with confirmed bars to reduce repainting behavior.
longEntry = confirmed and regimeBull and pressureBull and rvolOk and cooled
Features
Regime, structure, pressure, and regression filters
ATR stop and target exits
Optional trailing stop
Structure invalidation and time stop exits
Dashboard and candle regime colors
Input Parameters
Structure pivot length and HTF bias
ALMA and regression confidence settings
Delta pressure, RVOL, and cooldown
ATR stop, target, trailing, and time stop
Panel and candle display toggles
Strategy Properties
Initial capital: 100000
Position sizing: 10 percent of equity
Pyramiding: 0
Commission: 0.02 percent
Slippage: 2 ticks
Stops and targets: ATR-based, with optional trailing stop
How to Use This Script
Use this as a transparent research framework. Test on multiple markets and review trade samples rather than relying on a single backtest.
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
Concordance is original in combining several independent model families into a realistic, non-pyramiding execution framework with explicit risk exits.
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
Strategy
Caelum Bias Ribbon [JOAT]Caelum Bias Ribbon
Introduction
Caelum Bias Ribbon is a multi-timeframe ALMA consensus ribbon. It evaluates whether 15m, 1H, 4H, 1D, and 1W horizons are aligned, mixed, or overheated.
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. ALMA Deviation States
Each timeframe creates an ALMA center and deviation threshold to classify bullish, bearish, or neutral state.
2. Consensus Voting
The script counts aligned timeframes to identify broad directional agreement.
3. Overheat Tracking
Directional runs are counted so stretched multi-timeframe conditions can be marked without predicting reversal.
4. Ribbon Visualization
Colored ALMA ribbons and fills show agreement without heavy labels.
consensus = bullCount >= gate ? 1 : bearCount >= gate ? -1 : 0
Features
Five-timeframe ALMA ribbon
Consensus and mixed-state detection
Overheat markers
Consensus candle coloring
Compact dashboard
Input Parameters
Deviation factor
ALMA length, offset, and sigma
Deviation length
Overheat run threshold
Display toggles
How to Use This Script
Use Caelum as a directional filter. Strong agreement supports trend-following context; mixed readings warn that timeframes are not aligned.
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
Caelum is original in combining ALMA deviation states, multi-horizon voting, run-length overheat logic, and a clean ribbon display.
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
Indicator
Aurelian Structure Engine [JOAT]Aurelian Structure Engine
Introduction
Aurelian Structure Engine is a market structure and execution-context model that combines confirmed pivots, break events, HTF bias, anchored value, relative volume, and pressure scoring. It is built to separate meaningful structural breaks from ordinary candle noise.
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. Confirmed Swing Structure
Swing highs and lows are confirmed with pivot logic before the script evaluates breaks. ATR buffering helps prevent small wick violations from becoming structure events.
2. Bid and Offer Block Geometry
Recent opposing candles can become bid or offer blocks only when their vertical placement makes structural sense. Invalidated or overlapping blocks are removed.
3. Anchored Value Context
An EMA and yearly anchored VWAP stack define whether price is operating above or below value.
4. Tiered Quality Score
Pressure, RVOL, HTF bias, structure, and proximity are converted into B, A, and A+ style states.
bullScore = structure + pressure + rvol + htfBias + valueContext
Features
Confirmed BOS and CHoCH-style structure tracking
Bid and offer blocks with invalidation logic
EMA/VWAP value spine and structure bands
Volume pressure and RVOL scoring
A/B/A+ state labels and compact dashboard
Input Parameters
Swing pivot length and ATR buffer
Block search and extension controls
HTF bias timeframe
Pressure, RVOL, cooldown, and A+ score gates
Display toggles for bands, blocks, candles, and panel
How to Use This Script
Read the structure side first, then check whether pressure, RVOL, and HTF bias confirm the break. A+ labels require stronger agreement than A or B labels.
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
Aurelian is original in combining guarded bid/offer block geometry, confirmed structure, anchored value, and multi-factor signal quality into one restrained overlay.
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
Indicator
Indicator
Vesper Candle Index [JOAT]Vesper Candle Index
Introduction
Vesper Candle Index is an open-source candlestick classification engine. Instead of marking every common candle pattern equally, it scores candle patterns using body quality, wick structure, trend location, volatility, and nearby structure context.
The indicator is designed to reduce pattern noise by ranking candle events and displaying only those that meet a configurable quality threshold.
Core Concepts
1. Candle Pattern Library
The script evaluates multiple candlestick states, including engulfing candles, hammers, stars, harami, inside breaks, marubozu, tweezers, rail patterns, and reclaim/reject conditions.
2. Quality Scoring
Each candidate pattern receives a score based on candle body, wick placement, trend context, volatility, and structure alignment.
3. Structure Context
Confirmed pivot levels are used to detect CHoCH-style breaks and candle reactions near recent structure.
4. Trade Projection Labels
When a candle state qualifies, the script can display compact educational entry, stop, TP1, and TP2 information.
5. Dashboard
The dashboard shows the current candle state, quality bucket, trend, structure, and recent signal context.
Features
Ranked candle states: Patterns are scored rather than treated equally
Structure-aware candles: Uses pivots and CHoCH context
Volatility-adjusted logic: ATR helps normalize wick and body requirements
Cooldown control: Reduces repeated pattern labels
Compact dashboard: Summarizes the highest-ranked current candle state
Confirmed patterns: Pattern events use confirmed bars
Input Parameters
Pattern sensitivity controls the quality threshold
Pivot length controls structure confirmation
ATR settings control wick/body normalization
Rail projection settings control optional visual projection length
How to Use This Indicator
Step 1: Focus on high-quality states
Use the quality score to separate strong candle states from weaker pattern appearances.
Step 2: Check structure alignment
Candle events near relevant structure are often more meaningful than isolated patterns.
Step 3: Avoid treating patterns as certainty
Candlestick patterns describe current bar behavior. They do not predict continuation or reversal.
Indicator Limitations
Candle patterns can fail in strong trend or news conditions
Pivot-based structure is delayed by the selected pivot length
The script classifies candles; it does not forecast future direction
Originality Statement
Vesper Candle Index adds scoring, structure context, volatility normalization, cooldown behavior, and a dashboard to candlestick analysis. Its value is in ranking candle quality rather than simply labeling every pattern.
Disclaimer
This indicator is provided for educational and informational purposes only. It is not financial advice. Candlestick patterns can be misleading when used alone.
-Made with passion by jackofalltrades
Indicator
Tessera Execution Vault [JOAT]Tessera Execution Vault
Introduction
Tessera Execution Vault is an open-source confluence and execution-context indicator. It combines trend, volatility, pressure, VWAP location, structure sweeps, rejection behavior, and a compact transition model into a single score-based framework.
The script is intended to organize market context and display educational trade projections when confluence is high. It should not be treated as a certain signal system.
Core Concepts
1. Confluence Scoring
Long and short scores are built from independent evidence such as trend, VWAP, momentum, volume, pressure, CVD proxy, sweep events, and transition persistence.
2. Auction Pressure
The script estimates bid/offer pressure from candle structure and volume. It then plots a pressure trace near VWAP.
3. Sweep Memory Zones
When liquidity sweeps, expansion breaks, or auction reclaim conditions occur, the script stores short-lived memory zones.
4. VWAP Deviation Field
VWAP bands show where price is trading relative to the current auction center.
5. Educational Projection
When a setup qualifies, the script can draw entry, stop, and target levels based on ATR.
Features
Score-based long and short context: Multiple independent factors contribute to each side
VWAP auction bands: Upper and lower deviation fields
Pressure and score traces: Visualizes pressure and confluence around VWAP
Sweep memory zones: Labels discount, premium, liquidity reclaim, and liquidity reject areas
Confirmed-bar signals: Optional closed-bar signal gating
Dashboard: Displays bias, scores, ATR, volume, pressure, CVD proxy, and auction state
Input Parameters
Operating Preset changes sensitivity for scalping, intraday, swing, low-noise, or showcase modes
Core lengths control EMA, RSI, volume baseline, and sweep window
Risk settings control ATR stop and target projections
Auction settings control pressure and VWAP deviation calculations
How to Use This Indicator
Step 1: Read the dashboard bias
The bias and score rows show which side currently has stronger confluence.
Step 2: Watch memory zones
Memory zones highlight recent sweep or auction-location events that may remain relevant.
Step 3: Treat projections as educational
ATR projections show a possible risk framework. They are not recommendations.
Indicator Limitations
Pressure and CVD are candle-derived approximations
Confluence does not ensure continuation
ATR projections can be too wide or narrow during sudden volatility changes
Originality Statement
Tessera Execution Vault combines confluence scoring, VWAP auction context, pressure traces, transition persistence, and labelled memory zones in one open-source script. Its purpose is to explain why one side has more contextual evidence than the other.
Disclaimer
This indicator is provided for educational and informational purposes only. It is not financial advice or a recommendation to trade. Always use independent analysis and proper risk management.
-Made with passion by jackofalltrades
Indicator
Sidereal Session Lattice [JOAT]Sidereal Session Lattice
Introduction
Sidereal Session Lattice is an open-source intraday session-orbit indicator. It maps session phase, VWAP drift, volatility harmonics, entropy, and anomaly pressure into adaptive orbit bands and compact phase cells.
The indicator is designed to answer a session-context question: is price moving with the current session phase, stretching beyond its orbit, or compressing into balance?
Core Concepts
1. Session Phase
Each active session is counted bar by bar. The bar count is converted into a normalized phase value from 0 to 1.
2. Harmonic Orbit
The phase value is transformed with sine waves to create an intraday harmonic component. This does not predict price; it creates a reference curve for studying session rhythm.
3. VWAP Drift
The script tracks the distance between price and session VWAP, then normalizes the drift by ATR.
4. Entropy and Anomaly Rank
The script compares recent up/down candle energy and return magnitude to estimate balance and anomaly pressure.
5. Phase Cells
Compact cells mark upper-orbit events, lower-orbit events, and balance compression.
Features
Session phase model: Tracks where the market is inside the active session cycle
VWAP drift: Measures price displacement from session VWAP
Harmonic orbit bands: Adaptive bands based on phase, volatility, and drift
Entropy score: Measures up/down energy balance
Anomaly rank: Highlights unusual movement relative to recent behavior
Phase cells: Compact boxes show session-orbit events
Dashboard: Shows phase, lattice score, drift, entropy, anomaly, and current state
Input Parameters
Primary session defines the active session window
Cycle bars controls the phase cycle length
Drift smoothing controls VWAP drift smoothing
Entropy memory controls bid/ask balance memory
Anomaly memory controls return-rank comparison
How to Use This Indicator
Step 1: Read the phase state
The dashboard names the current session phase, such as open drive, balance, or close risk.
Step 2: Watch orbit events
Upper and lower orbit cells mark when price stretches beyond the adaptive session orbit.
Step 3: Use entropy for balance context
High entropy with low anomaly often indicates balanced conditions.
Indicator Limitations
The harmonic orbit is a reference model, not a forecast
Session behavior varies by symbol and exchange hours
Entropy and anomaly values are derived from chart bars and may change with timeframe
Originality Statement
Sidereal Session Lattice combines session phase, VWAP drift, harmonic references, entropy, and anomaly ranking. It is not a standard session high/low tool; it provides a structured way to study intraday rhythm and displacement.
Disclaimer
This indicator is provided for educational and informational purposes only. It is not financial advice. Session models can fail in news, gaps, and unusual liquidity conditions.
-Made with passion by jackofalltrades
Indicator
Fractal Exhaustion Band [QuantAlgo]🟢 Overview
The Fractal Exhaustion Band is a trend-following indicator that replaces the fixed ATR multiplier common to most adaptive bands with the Fractal Dimension Index, scaling the buffer width in real time based on how efficiently price is consuming its recent range. Additionally, an extremum tracker accumulates swing highs and lows since the last confirmed flip to form an outer Band Edge, giving traders a structured range to position within the trend, identify exhaustion near its boundaries, and treat extensions beyond the edge as potential deviation signals ahead of a directional flip across any instrument or timeframe.
🟢 How It Works
The core methodology is built around three sequential stages: a fractal dimension calculation that quantifies the structural quality of recent price movement, a dynamic buffer derived from that measurement, and a ratcheting trend line that advances only when market conditions justify it.
First, the Fractal Dimension Index (FDI) is calculated by comparing the total path length price has travelled over the lookback window against the straight-line distance between its highest and lowest point. A value near 1 indicates clean, efficient trending. A value near 2 indicates erratic, space-filling movement. The ratio is log-normalised by the window size to keep it comparable across different FDI Period settings:
fdi = high_ - low_ > 0 ? (math.log(len) - math.log(high_ - low_)) / math.log(power) : 0
Next, the FDI is fed directly into the buffer calculation as a scaling factor on top of the Band Width Multiplier and a 10-period ATR. This means the buffer is never fixed; it inflates when price behaviour is erratic and compresses when price is trending with conviction:
dynamic_mult = sensitivity * (1 + fdi)
buffer = atr * dynamic_mult
The trend line then ratchets in the direction of the current trend, but only on bars where the FDI is below 1.5. This gate prevents the line from being dragged by price during high-fractal-dimension conditions, even if price has not yet breached the buffer threshold. A trend flip is only registered when price closes beyond the buffer on the opposite side:
if fdi < 1.5
trend_line := math.max(trend_line, close - buffer)
Finally, an extremum tracker accumulates the running high or low since the last confirmed flip, forming the outer Band Edge. A midline is derived as the average between this extremum and the trend line, creating a three-layer structure that encodes both the structural anchor of recent price extremes and the adaptive trend line beneath it:
ex := trend_dir != trend_dir ? (trend_dir == 1 ? high : low)
: trend_dir == 1 ? math.max(nz(ex , high), high)
: math.min(nz(ex , low), low)
mid = math.avg(ex, trend_line)
🟢 Signal Interpretation
▶ Bullish Trend (Band Rising with Bullish Colour): When price moves upward with sufficient efficiency to produce a low FDI reading and close above the trend line's buffer threshold, the trend direction flips to bullish and the entire band shifts to the bullish colour. From that point, the Fractal Line ratchets upward on each bar where the FDI remains below 1.5, while the extremum tracker accumulates successive highs to form the outer Band Edge above. The flat segments visible in the band reflect bars where the FDI gate suppressed movement, while upward steps reflect bars where trending conditions were confirmed.
Within the bullish band, the Fractal Line and Band Edge define a structured trading range. Price oscillating between the two represents normal trend continuation behaviour, and pullbacks toward the Fractal Line can be treated as higher-probability long entries with the trend, using the Fractal Line itself as the logical invalidation level. The Band Mid serves as a directional gauge within that range; price holding above it reflects stronger momentum, while price drifting below it signals weakening conviction worth monitoring. When price pushes into the Band Edge zone and begins interacting with the accumulated swing highs, treat that as an exhaustion area rather than a continuation signal. Longs initiated near the Band Edge carry elevated risk of a short-term mean reversion back toward the Fractal Line. If price then extends meaningfully beyond the Band Edge, treat the extension as a deviation from the established structure. A deviation of this kind, particularly when accompanied by a rising FDI indicating deteriorating trend quality, is a preparatory signal to begin tightening long exposure and watching for the Fractal Line to be breached on the downside, which would confirm the bias flip to bearish.
▶ Bearish Trend (Band Declining with Bearish Colour): When price moves downward with sufficient efficiency to produce a low FDI reading and close below the trend line's buffer threshold, the trend direction flips to bearish and the band shifts to the bearish colour. The Fractal Line ratchets lower on each bar where the FDI gate permits, while the extremum tracker accumulates successive lows to form the outer Band Edge below. As with the bullish state, the filter holds its last value on bars where fractal dimension is elevated, and the direction state remains unchanged on those bars.
Within the bearish band, the same structural logic applies in reverse. Price oscillating between the Fractal Line above and the Band Edge below represents normal bearish continuation, and bounces toward the Fractal Line can be treated as higher-probability short entries with the trend, using the Fractal Line as the invalidation level. The Band Mid again acts as a momentum gauge; price holding below it indicates sustained selling pressure, while recovery above it suggests the downtrend is losing conviction. When price pushes into the Band Edge zone and interacts with the accumulated swing lows, treat that region as exhaustion rather than confirmation of further downside. Shorts initiated near the Band Edge carry elevated mean-reversion risk back toward the Fractal Line. If price extends beyond the Band Edge to the downside, treat that extension as a structural deviation. A deviation paired with a rising FDI is a signal to begin reducing short exposure and watching for an upward breach of the Fractal Line, which would confirm the directional flip back to bullish.
🟢 Features
▶ Preconfigured Presets: Three parameter sets cover a range of trading styles and timeframes. "Default" delivers balanced noise filtering suited to swing trading on 4-hour and daily charts. "Fast Response" tightens the buffer and shortens the fractal measurement window for intraday and scalping use on 1-minute to 1-hour charts, producing earlier trend flips in response to smaller directional moves. "Smooth Trend" widens the buffer and extends the measurement window for position trading on daily and weekly charts, requiring a more sustained and efficient directional move before a trend flip is registered.
▶ Built-in Alerts: Three alert conditions support automated monitoring of trend transitions. Bullish Trend fires on the first bar where trend direction flips from bearish to bullish. Bearish Trend fires on the first bar where trend direction flips from bullish to bearish. Any Signal Change triggers on either transition for traders who want a single unified alert regardless of direction. All alerts include the exchange, ticker, and timeframe in the message for immediate context.
▶ Visual Customisation: Six colour presets (Classic, Aqua, Cosmic, Cyber, Neon, and Custom) provide coordinated bullish and bearish colour pairings suited to different chart themes and personal preferences. Selecting Custom exposes independent colour pickers for full manual control over both states. The three-layer band fill uses graduated transparency across the outer edge, midline, and trend line zones to clearly distinguish structural from adaptive components at a glance. Optional bar colouring tints price candles with the active trend colour using a configurable transparency level, and optional background colouring extends the trend state tint across the full chart pane at a separately configurable transparency.
Indicator
Parallax Regime Corridor [JOAT]Parallax Regime Corridor
Introduction
Parallax Regime Corridor is an open-source regime and corridor engine that blends trend efficiency, volatility state, structure change, and transition quality. It visualizes the active regime as a dynamic corridor and marks confirmed regime shifts or CHoCH-style structure changes.
Core Concepts
1. Adaptive Corridor
The corridor is built from an adaptive mean and ATR-based width. The band expands when volatility increases and contracts in quieter conditions.
2. Regime Candidate
Price location, trend slope, and directional evidence determine whether the candidate regime is bullish, bearish, or neutral.
3. Structure Change
Confirmed swing highs and lows are used to detect delayed bullish and bearish changes of character.
4. Transition Quality
The indicator scores whether volatility, trend, and structure agree before highlighting a shift.
5. Dashboard Context
The dashboard summarizes current regime, quality, volatility, structure, and recent shift state.
Features
Dynamic regime corridor: Adaptive mean and ATR width
Bullish, bearish, and neutral regimes: Clear state output
Confirmed CHoCH events: Uses pivot-confirmed structure references
Transition quality score: Combines regime and structure conditions
Candlestick coloring: Candles can reflect the active state
Top-right dashboard: Compact summary of state and quality
Input Parameters
Basis length controls the adaptive mean
ATR length and multiplier control corridor width
Pivot length controls structure sensitivity
Minimum score controls shift selectivity
How to Use This Indicator
Step 1: Read the corridor color
The corridor color identifies whether the script sees bullish, bearish, or neutral control.
Step 2: Watch shift events
Shift events show where the regime candidate changed on a confirmed bar.
Step 3: Treat CHoCH as delayed structure context
CHoCH events rely on pivot confirmation and should be interpreted as confirmed historical structure, not instant prediction.
Indicator Limitations
Pivot-based structure is delayed by the pivot length
Regime transitions can occur late during fast reversals
The corridor is a context layer, not a standalone trading system
Originality Statement
Parallax Regime Corridor combines adaptive corridor visualization, structure-change logic, volatility context, and transition scoring. It is designed to show how regime context evolves rather than simply plot a trendline.
Disclaimer
This indicator is provided for educational and informational purposes only. It is not financial advice. Regime classifications can be wrong or late in unusual market conditions.
-Made with passion by jackofalltrades
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