Get started

Indicators

Helios Volatility Forecast [JOAT]Helios Volatility Forecast Helios Volatility Forecast is a Yang-Zhang volatility estimator with regime classification, a volatility cone (historical percentile bands), an HMA-smoothed forecast line, and a position-size suggestion. Volatility is classified into four regimes (LOW / NORMAL / ELEVATED / EXTREME) by percentile rank against its own history. Cross-pane elements paint a soft regime tint and a position-multiplier suggestion onto the price chart. What makes it different Most volatility indicators use a simple close-to-close standard deviation, which discards intraday range information and ignores overnight gaps. The Yang-Zhang estimator combines four components — overnight close-to-open variance, intraday open-to-close variance, and a Rogers-Satchell range term — into a single estimator that is more accurate than close-to-close for instruments that gap. A 4-band volatility cone (5th, 25th, 50th, 75th, 95th percentile of the past 100 bars) is plotted around the current volatility, with gradient fills bracketing tails and the interquartile range. A 4-regime classifier (LOW / NORMAL / ELEVATED / EXTREME by percentile thresholds at 25, 65, 90) drives a cross-pane tint on the price chart and a numeric position-size multiplier suggestion. The suggestion scales inversely with realized vol — wider sizes in low-vol regimes, halved sizes in extreme-vol regimes. An HMA forecast line projects the smoothed vol trajectory ahead. Forecast-crossing-realized alerts fire when expansion or contraction is imminent. How it works Yang-Zhang formula combines overnight return, intraday return, and Rogers-Satchell range term, weighted by k = 0.34 / (1.34 + (len + 1) / (len - 1)). Percentile rank of sigma_yz over a 100-bar history equals vol_pct. Regime classification: LOW below 25, NORMAL 25 to 65, ELEVATED 65 to 90, EXTREME above 90. HMA of sigma_yz equals the forecast. Forecast direction equals the sign of (forecast minus current). Position-size multiplier equals clamp(1.5 minus vol_pct / 100, 0.3, 1.5). Vol-of-vol (stdev of recent realized vol) feeds a regime stickiness indicator. Reading the chart In-pane : regime-tinted volatility line (vivid mint for LOW, neutral white for NORMAL, amber for ELEVATED, vivid red for EXTREME), HMA forecast line with direction-color flow, five vol-cone percentile lines. Cross-pane : soft regime tint background on the price chart, plus a Size x0.50 EXTREME vol label updating each bar. A vol-of-vol panel as a sub-strip at the top of the pane. Five right-edge cone percentile labels (p5 / p25 / p50 / p75 / p95). A current-vol percentile rank label. Regime change timeline labels on the price chart at each regime transition. Cross-pane vol-cone touch markers when vol crosses p95 (breakout) or p5 (contraction). A regime stickiness indicator (how long the regime has been in its current state). Forward expected-range lines on the price chart (close plus or minus forecast times ATR scalar). Signals Regime up / down (any percentile-bucket transition) Extreme vol entry Low vol entry Vol breakout (sigma crosses above p95 of its own history) Vol contract (sigma crosses below p5) Vol Z-shock up / down (when vol z-score exceeds plus or minus 2) Forecast cross up / down (forecast vs realized) All gated on barstate.isconfirmed or barstate.ishistory. No future references. No lookahead_on. Inputs Volatility : Yang-Zhang window, regime percentile lookback, forecast HMA length. Visual : bullish (low vol) color, bearish (extreme vol) color, elevated (amber) color, cone toggle, forecast toggle, cross-pane candles toggle, regime pulse toggle. Dashboard : position, size. How traders use this Position sizing : scale entries inversely with the regime. Full size in LOW, default in NORMAL, half in ELEVATED, third in EXTREME. The multiplier label provides the suggested factor. Volatility breakouts : vol crossing above p95 historically precedes large directional moves. Tighten trailing stops or reduce holding time. Volatility contraction : vol crossing below p5 historically precedes range / chop. Reduce directional bias. Consider mean-reversion strategies. Regime-aware stops : in ELEVATED or EXTREME regimes, ATR-based stops should be wider. In LOW regimes, tighter. The pos-mult label codifies this implicitly. Limitations Yang-Zhang assumes log-normal returns and lognormality breaks down during fat-tail events (it under-estimates vol in true crash regimes). Percentile classification needs sufficient history. The default 100-bar lookback can be lengthened for stable instruments. The position-size multiplier is a heuristic, not a portfolio-management recommendation. Combine with your own risk-management framework. The HMA forecast lags slightly behind real-time changes. Treat as smoothed trend, not pinpoint prediction. Compatibility Pine Script v6 open-source indicator (pane plus cross-pane). Any symbol, any timeframe. Cross-pane elements use force_overlay=true. No request.security calls. Defaults 20-bar Yang-Zhang window, 100-bar regime lookback, 5-bar HMA forecast, mint / red / amber palette, top-right medium dashboard. Credits Yang-Zhang estimator from D. Yang and Q. Zhang, Drift-Independent Volatility Estimation Based on High, Low, Open, and Close Prices , Journal of Business (2000).
Pine Script® indicator
by officialjackofalltrades
Crucible Range Compression [JOAT]Crucible Range Compression Crucible Range Compression detects volatility-compression episodes by blending three independent contraction proxies — Bollinger Band Width percentile, ATR percentile, and body-range Z-score — into a single intensity score. While compressed, the script tracks Cumulative Volume Delta inside the compression window to predict breakout direction. On confirmed compression exit it projects a chamber-width target line. A history strip records each completed compression with its outcome. What makes it different Single-metric volatility-contraction indicators (BBW or ATR alone) can be misled by price-level changes. The composite intensity uses three normalized metrics, each over a percentile lookback, so contraction across multiple lenses is required for a true compression read. The compression chamber is drawn as a dynamic box (top and bottom bounds expanding while the compression remains active) with three nested concentric rings that visually tighten as intensity increases. A clear visual countdown to breakout. Inside the chamber, CVD slope predicts breakout direction before the breakout occurs. A direction-bias gauge surfaces this prediction in a 21-segment vertical scale. Two forward projection lines appear AFTER compression exits but BEFORE the breakout candle confirms — bull target at chamber-high plus width, bear target at chamber-low minus width. Once the direction confirms, only the active target survives. A false-breakout signal fires when price breaks in the opposite direction of CVD's bias. A high-value warning that a fast reversal is likely. How it works Bollinger Band Width equals (upper minus lower) divided by basis. Convert to percentile rank over a 100-bar lookback. ATR(14) percentile rank over the same lookback. Body range equals the absolute distance between close and open. Body Z equals (body minus sma(body, 20)) divided by stdev(body, 20). Map to a 0-1 score where small bodies equal 1. Intensity equals 0.40 times (1 minus BBW%) plus 0.40 times (1 minus ATR%) plus 0.20 times body score. Range 0 to 1 where 1 equals maximum compression. Compression active when intensity exceeds the user threshold (default 0.7). Chamber bounds are the running max / min of high / low while active. CVD inside the chamber: delta equals plus volume on up bars, minus volume on down bars, zero otherwise, summed since chamber start. Slope equals total delta divided by bars in chamber. On exit (intensity drops below threshold), if close above chamber high and CVD bias above 0, bull breakout. If close below chamber low and CVD bias below 0, bear breakout. If price breaks one way but CVD predicted the other, false-breakout signal. Target on confirmed direction equals breakout close plus or minus chamber width. Reading the chart Outer compression chamber box, transparency-modulated by intensity, anchored at compression start. Three nested concentric rings inside the chamber, smaller and smaller, tinted by direction bias. Iridescent candle recolor scales transparency with intensity (faded while compressed, vivid on expansion). Forward projection lines (bull target and bear target) appear at compression exit and disappear when one direction confirms. A confirmed target line plus price label persists until hit or expired. bgcolor pulses: 3-bar fade on compression entry, 2-bar fade on confirmed breakout (bull / bear). Chamber exit pulse: border alpha cycles for 3 bars when compression exits. A right-edge intensity gauge label with intensity %, state, bias, bars in. A right-side 21-segment direction-bias gauge mirroring CVD slope. Pre-compression bgcolor highlight when intensity is approaching the threshold. An intensity history mini-strip on the right edge showing the last 10 intensity values as colored line segments. A compression history strip (last 10 completed compressions with outcomes). A daily compression counter. Signals Compression entry (intensity crosses above threshold) Compression exit (intensity drops below threshold, breakout pending) Bull breakout confirmed Bear breakout confirmed False breakout (direction mismatch with CVD bias) All gated on barstate.isconfirmed or barstate.ishistory. No future references. Inputs Compression : BB length, BB stdev multiplier, percentile lookback, activation threshold, chamber initial length, target line extension bars. Visual : bullish, bearish, neutral colors. Chamber, nested rings, candles, target line, pulses, gauge toggles. On-chart : compression history, intensity strip, pre-compression highlight, bias gauge, projection lines, target hit/miss labels, false-breakout revert line, state block, cycle counter, exit pulse. Dashboard : position, size. How traders use this Breakout entries : wait for the confirmed bull / bear breakout signal AND the CVD-bias gauge to be aligned. False-breakout signals when these disagree are reasons to pass or fade. Range trading : while compression is active (chamber visible), reactions to chamber high / low are intra-range scalp setups. Target management : once the breakout fires and the target line appears, common practice is to scale out at chamber-mid first, then chamber-target. The chamber width is the implied move. Compression history : see how previous compressions resolved on the current instrument. A series of Win entries means the setup has been productive recently. Limitations Compression detection requires warm-up history (100 bars for the percentile calculations). On very young charts the script is inert. CVD bias inside a chamber is a probability, not a guarantee. False breakouts happen when liquidity sweeps stops on the predicted side first. For instruments with very thin volume data, the CVD direction signal is less reliable. The chamber width is a measured-move proxy. Actual move size can exceed or fall short. Compatibility Pine Script v6 open-source indicator (overlay). Any symbol, any timeframe (more bars equals more reliable percentile context). No request.security calls. Defaults 20-bar BB, 2.0 BB stdev, 100-bar percentile lookback, 0.7 activation threshold, 20-bar initial chamber length, 40-bar target extension, mint / red / gray palette, top-right medium dashboard.
Pine Script® indicator
by officialjackofalltrades
Aurora Compass [JOAT]Aurora Compass Aurora Compass is a higher-timeframe volume-profile overlay with smart-money-weighted bin coloring, Point of Control (POC) tracking, Value Area High / Value Area Low boundaries, top-three High Volume Node (HVN) full-chart-width zones, low-volume node markers, liquidity-sweep detection with persistent price labels, an inter-interval POC drift trail, profile imbalance and HVN-rotation alerts, and a right-side 21-segment bias compass. What makes it different Traditional volume profile shows raw volume distribution. Aurora Compass weights each candle's contribution by a normalized Negative Volume Index delta, emphasising bars where institutions tend to transact (NVI-up days). The result highlights levels of smart-money concentration, not just raw turnover. Full-chart-width HVN zone boxes (not just thin borders) make the top three nodes obvious across the entire visible price history. Value Area High and Value Area Low are computed and drawn. The price boundaries that bracket 70% of profile volume. These are first-class horizontal levels with right-edge labels. An inter-interval POC drift trail draws a line from each interval's POC midpoint to the next, colored by direction. You can read multi-day POC migration at a glance. Liquidity sweeps are detected when price wicks beyond an HVN and the candle body closes back through. The script prints a persistent price label, not just a marker. How it works Higher-timeframe rollover is detected via ta.change(htfTf). No request.security is used. The profile is constructed from local bars within the interval. The price range within the active interval is binned into res slices. For each bin, the script accumulates total volume and smart-money-weighted signed volume. POC is the bin midpoint with the maximum total volume. Value Area is computed by expanding outward from POC until cumulative volume reaches 70%. Top three bins by volume become HVNs. Bottom three become LVNs, where breakouts tend to accelerate through low-resistance areas. Sweep markers fire when a wick pierces an HVN boundary and the body closes the other side. POC drift in ATR units is tracked across interval boundaries. Imbalance is the absolute net signed volume divided by total volume. Reading the chart Heatmap boxes for each bin, transparency-modulated by relative volume share. Smart-money weighting tints them mint or red according to net flow direction. POC dashed horizontal line extends across the visible chart with a right-edge price label that includes the inter-interval drift in ATR units. VAH and VAL dashed lines with right-edge labels. Three HVN full-width zones with right-edge price and volume labels. Three LVN border-only highlights (visually distinct from filled HVN). HTF interval boundary dotted vertical lines (capped to last 20 intervals). Per-interval sentiment timeline labels above each historical interval's high. Liquidity sweep labels at sweep wicks (for example SWEEP 4520.50). Inter-interval POC drift trail (capped to last 10 segments). Right-side 30-segment vertical bias gauge with horizontal sight-line and pointer label. Signals Bullish / bearish liquidity sweep Bullish / bearish POC drift HVN touch HVN rotation (top-3 ordering changed between intervals) Profile imbalance bull / bear (net signed volume crosses the threshold) VAH / VAL touch and Value Area reclaim (up / down breakouts) All gated on barstate.isconfirmed or barstate.ishistory. No future references. Inputs HTF Profile : higher timeframe selector, profile resolution, intensity scale, show heatmap, show POC, show HVN. Cross-Interval : HTF interval markers, sentiment timeline, POC trail, LVN bands, sweep labels, gauge, sentiment label, Value Area, HVN zones, imbalance threshold. Sweep : detection toggle. Visual : bullish / bearish colors, intensity scale. Dashboard : position, size. How traders use this HVN reactions : the top-three HVN zones are the levels most likely to attract price retests. Look for rejections or breakouts at these levels. LVN acceleration : when price enters a low-volume bin, expected travel speed is faster. These are thin-air zones useful for measured-move targets. Sweep then reclaim : a bull sweep where price wicks below an HVN and closes above is a classic stop-hunt-then-reverse pattern. POC drift : a series of mint trail segments showing upward POC migration across multiple HTF intervals is a structural up-trend signal independent of price action on the LTF. Value Area : trading within Value Area is range / rotation behavior. Trading outside is trend / discovery behavior. Limitations The profile is built from local LTF bars within an HTF interval. Resolution and quality scale with how many LTF bars fit in the HTF window. Daily HTF with 1-minute LTF gives the richest profile. Smart-money weighting via NVI is a proxy. It is not a substitute for true tick-level order-flow data. HVN / LVN selection is recomputed each bar and may shift as new volume arrives within an interval. Once the interval closes the profile is locked. For very illiquid instruments the profile is sparse and the levels are less informative. Compatibility Pine Script v6 open-source indicator. Any symbol with volume data. HTF must be strictly higher than the chart timeframe. No external request.security calls. Non-repainting: signals fire on confirmed bars. Defaults Daily HTF, 30 bins, mint / red palette, top-right medium dashboard. For higher resolution increase the bin count. For noisier instruments raise the imbalance threshold.
Pine Script® indicator
by officialjackofalltrades
2
Volatility Cluster Pressure [JOAT]Volatility Cluster Pressure Introduction Volatility Cluster Pressure tracks EWMA variance, realized volatility, vol-of-vol, jump intensity, compression, expansion, and unstable cluster states. 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. EWMA Variance A recursive lambda model emphasizes recent returns while retaining volatility memory. 2. Volatility Rank EWMA volatility is ranked within a historical window. 3. Jump Intensity Absolute return deviations identify abnormal movement relative to recent behavior. 4. Pressure Rails Volatility and instability expand adaptive pressure rails around price. ewmaVar := lambda * ewmaVar + (1 - lambda) * logRet * logRet Features EWMA/GARCH-style variance pressure Volatility rank and vol-of-vol Jump z-score Compression, expansion, and unstable states Adaptive pressure rails and HUD Input Parameters Cluster window and EWMA lambda Cluster pressure and compression gates Cooldown Rails, candles, and HUD toggles HUD position selector How to Use This Script Use VCP to understand volatility conditions before interpreting signals. Compression, expansion, and unstable states describe risk environment. 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 VCP is original in combining recursive variance, vol rank, jump pressure, instability, 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
Pine Script® indicator
by officialjackofalltrades
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
Pine Script® indicator
by officialjackofalltrades
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
Pine Script® indicator
by officialjackofalltrades
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
Pine Script® indicator
by officialjackofalltrades
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
Pine Script® indicator
by officialjackofalltrades
Projected Crossover TrendProjected Crossover Trend is a directional trend-following indicator built around projected moving average crossover momentum and Market Direction Indicator (MDI) calculations. Instead of waiting for a traditional moving average crossover, this indicator attempts to measure projected crossover momentum before the crossover fully develops. This helps identify directional shifts earlier while smoothing market noise through the MDI calculation. Bullish Regime: • MDI is positive • Price is above the slow-length reference close Bearish Regime: • MDI is negative • Price is below the slow-length reference close
Pine Script® indicator
by SchizoQuant
4
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
Pine Script® indicator
by officialjackofalltrades
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
Pine Script® indicator
by officialjackofalltrades
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
Pine Script® indicator
by officialjackofalltrades
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
Pine Script® indicator
by officialjackofalltrades
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
Pine Script® indicator
by officialjackofalltrades
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
Pine Script® indicator
by officialjackofalltrades
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
Pine Script® indicator
by officialjackofalltrades
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
Pine Script® indicator
by officialjackofalltrades
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
Pine Script® indicator
by officialjackofalltrades
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
Pine Script® indicator
by officialjackofalltrades
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
Pine Script® strategy
by officialjackofalltrades
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
Pine Script® indicator
by officialjackofalltrades
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
Pine Script® indicator
by officialjackofalltrades