Order Flow Asymmetry [JOAT]Order Flow Asymmetry
Introduction
Order Flow Asymmetry is an open-source synthetic institutional order flow indicator that tracks four independent measures of directional institutional activity — Volume-Weighted Momentum, Liquidity Vacuum detection, Microstructure Imbalance scoring, and a dynamic Information Ratio Band system — and classifies the current market into one of four regime states based on trend direction and volatility level. Smart money signals are generated only when regime, VWM direction, imbalance score, and the absence of a liquidity vacuum all align simultaneously.
The core thesis is that institutional participants leave statistical footprints in price and volume data that can be approximated without access to full order book data. When a large participant is absorbing supply, the result is: above-average volume, below-average price movement, high close-to-range ratio biased toward the institutional direction, and a cumulative imbalance in the bid-side proxy. Order Flow Asymmetry tracks these proxies simultaneously rather than relying on any single measure.
Core Concepts
1. Volume-Weighted Momentum (VWM)
VWM weights each bar's price change by its volume — large-volume bars contribute more to the running total than small-volume bars. The cumulative result is then normalized relative to the 20-bar average volume, producing a -50 to +50 reading:
float vwm = ta.cum(ta.change(close) * volume) / ta.ema(volume, 20)
float vwmNorm = (vwm - ta.lowest(vwm,100)) / math.max(ta.highest(vwm,100) - ta.lowest(vwm,100), 1e-9) * 100 - 50
A crossover of zero in either direction is the primary momentum signal.
2. Liquidity Vacuum Detection
A liquidity vacuum occurs when volume collapses below two standard deviations of its 50-bar mean while price moves more than one ATR in the same bar. This pattern indicates a move through a region with no counterparty liquidity — a potential institutional trap. Vacuum bars are marked with three-layer glow boxes and treated as signal inhibitors.
3. Microstructure Imbalance Score
A bar-level bid/ask proxy is computed from close position within the high-low range. Bars closing in the upper half of their range contribute positive imbalance; bars closing in the lower half contribute negative. A 93% decay factor is applied each bar, producing a running imbalance score that emphasizes recent activity while retaining historical context.
4. Four-State Regime Classification
The regime is determined by two binary conditions: ADX above threshold (trending vs. ranging) and ATR ratio above threshold (high vs. low volatility). This produces four states: Trend Bull, Trend Bear, Range High-Vol, Range Low-Vol. Each state receives a distinct background tint. Smart money signals require a Trend state — signals in Range states are suppressed.
5. Information Ratio Bands
Standard deviation bands are computed from the MIDAS VWAP. The band width multiplier is dynamically set by the rolling Sharpe ratio estimate of recent returns — periods with higher risk-adjusted returns produce narrower bands, while periods with lower Sharpe ratios produce wider bands.
float sharpe = ta.ema(ret20, 20) / math.max(ta.stdev(ret20, 20), 1e-8)
float kFactor = math.max(0.5, math.min(3.0, math.abs(sharpe) * 2))
Features
Volume-Weighted Momentum: Cumulative volume-weighted price change normalized to -50/+50 range
Institutional VWAP center line: Thick reference line showing the cumulative volume-weighted average price anchor — the central institutional value reference
VWM gradient fill zones: Bull zone fills between VWAP and upper VWM level in bull theme color; bear zone fills between VWAP and lower VWM level in bear theme color — intensity reflects VWM magnitude
IR Band gradient fill: Subtle gradient fill between upper and lower Information Ratio bands shows the full Sharpe-adjusted deviation range
Regime transition markers: Every regime change draws a vertical dotted line plus a direction label (▲ TrendBull / ▼ TrendBear / ◆ RngHVol / ◇ RngLVol) — institutional regime context at a glance
Absorption / Distribution labels: "Absorption" label when cumulative microstructure imbalance score exceeds extreme threshold; "Distribution" label when it falls below. Identifies potential institutional accumulation/distribution zones
Smart money signal markers: "▲ SMART LONG" / "▼ SMART SHORT" labels with embedded VWM and Imbalance values, plus a vertical dotted line through each signal bar for visual alignment
Liquidity vacuum detection: Volume collapse + ATR-relative move identifies institutional trap zones with 3-layer glow visualization and "Vacuum" text label
Microstructure imbalance score: Decaying cumulative bid/ask proxy normalized by ATR, displayed in dashboard
Four-state regime classification: Trend Bull / Trend Bear / Range High-Vol / Range Low-Vol from ADX and ATR ratio — distinct background tints for each state
Information Ratio Bands: VWAP deviation bands with width dynamically set by rolling Sharpe estimate
Gradient candle coloring by VWM: Bar colors reflect normalized VWM intensity using color.from_gradient() when VWM exceeds threshold in trend direction
Three-layer glow candles (optional): Institutional-style neon glow candle effect
12-row institutional dashboard: Regime, VWM, vacuum state, imbalance score, Sharpe k-factor, IR band levels, signal, win rate, and performance stats
Four color themes: Phantom, Neon, Classic, Solar
Non-repainting: All signals gated by barstate.isconfirmed; all inputs are historical only
Input Parameters
Volume-Weighted Momentum:
Volume Average Length (default: 20)
VWM Cross Threshold (default: 5.0)
Liquidity Vacuum:
Volume Mean Length, Sigma Below Mean, Vacuum Zone Width, Glow Strength
Microstructure Imbalance:
Imbalance Decay Factor (default: 0.93)
Imbalance Signal Gate (default: 15.0)
Regime Classification:
ADX Trend Threshold (default: 25)
ATR Ratio High-Vol Threshold (default: 1.2)
Information Ratio Bands:
Show IR Bands toggle
Sharpe Window (default: 20)
Signal:
Cooldown Bars, TP ATR Multiple, SL ATR Multiple, Show Trade Block, Block Width
How to Use This Indicator
Step 1: Identify the Regime
Check the dashboard Regime row. Smart money signals only fire in Trend Bull or Trend Bear states. During Range states, no signals are generated regardless of VWM direction.
Step 2: Watch for VWM Zero Cross
The VWM crossing zero in the direction of the trend regime is the primary trigger. Ensure no vacuum is active on the signal bar — vacuum bars inhibit signals because they represent suspect moves without genuine counterparty support.
Step 3: Check Imbalance Score
The imbalance score reflects cumulative directional bias in bid/ask proxy. A score above the gate threshold in the trend direction adds confidence. A score contradicting the trend direction is a warning.
Step 4: Use IR Bands as Dynamic Reference
The Information Ratio bands widen in low-Sharpe environments (price distributing far from VWAP) and narrow in high-Sharpe environments (price efficiently priced near VWAP). These bands serve as dynamic reference levels rather than fixed targets.
Indicator Limitations
VWM uses tick volume as a proxy for institutional participation. On forex spot and some crypto venues, tick volume may not accurately represent actual participation
The microstructure imbalance score uses bar close position as a bid/ask proxy. This is an approximation — actual bid-ask data is not available in standard PulseWire data
Regime classification uses ADX and ATR ratio, both of which lag price. A trend beginning explosively will be classified as ranging for several bars until indicators respond
The Information Ratio Band width is driven by a 20-bar Sharpe estimate, which is an extremely short window for a reliable Sharpe computation. It should be interpreted as a dynamic band-width scaler rather than a statistically significant Sharpe ratio
Smart money signals are rare by design — the four-condition gate produces low-frequency output
Originality Statement
The combination of Volume-Weighted Momentum, Liquidity Vacuum detection as a signal inhibitor, a decaying Microstructure Imbalance score, and Information Ratio Bands with Sharpe-driven width — all gated by a four-state regime classification — is an original analytical architecture not replicated in existing open-source Pine Script v6 publications
Treating liquidity vacuums as signal inhibitors rather than signals themselves — suppressing momentum signals that occur immediately after a volume-collapse move — is a novel application of vacuum detection logic
Dynamic VWAP deviation band width driven by a rolling Sharpe ratio estimate rather than a fixed multiplier provides adaptive band boundaries that reflect the current efficiency of price relative to VWAP
Disclaimer
This indicator is provided for educational and informational purposes only. It is not financial advice. Trading involves substantial risk of loss. Synthetic order flow measures are approximations that use publicly available price and volume data as proxies for actual institutional activity. Past signal performance does not predict future results. The author accepts no responsibility for trading losses resulting from use of this indicator.
Made with passion by jackofalltrades
Indicator
Entropic Regime Field [JOAT]Entropic Regime Field is an open-source market state classifier that uses three quantitative measures — Fractal Efficiency Ratio, a synthetic Hurst Exponent approximation, and a Garman-Klass volatility estimator — to classify each bar into one of three entropy states: LOW (predictable, directional structure present), TRANSITION (regime shift underway), and HIGH (chaotic, low-predictability environment). Directional signals from an Adaptive Momentum Oscillator are filtered to fire only during LOW entropy states, where momentum signals have historically more reliable edge than during random or chaotic market behavior.
The foundational premise is that markets alternate between periods of organized directional behavior and periods of disorganized random movement. Trading momentum signals indiscriminately across both environments degrades overall performance because the same signal that has edge in a trending market produces random outcomes in a chaotic one. By measuring the structural organization of price movement directly — rather than relying on ADX alone, which is a lagging momentum derivative — Entropic Regime Field attempts to identify when the market's behavior is organized enough for directional signals to have context.
Core Concepts
1. Fractal Efficiency Ratio (FER)
The FER measures how efficiently price has moved over a lookback period — the ratio of the net directional distance to the total path length of individual bar-to-bar changes. A value near 1.0 indicates straight-line directional movement; a value near 0.0 indicates constant reversals:
float ferNet = math.abs(close - close )
float ferPath = math.sum(math.abs(ta.change(close)), ferLen)
float ferVal = ferPath > 0.0 ? ferNet / ferPath : 0.0
2. Synthetic Hurst Exponent
The Hurst Exponent characterizes the memory of a time series. Values above 0.5 indicate persistence (trending), values near 0.5 indicate randomness, and values below 0.5 indicate anti-persistence (mean-reversion). A simplified Hurst estimate is computed using the variance ratio method:
float var1 = ta.variance(ta.change(close, 1), hurstWindow)
float var5 = ta.variance(ta.change(close, 5) / 5, hurstWindow)
float hurstEst= 0.5 * math.log(var1 / var5) / math.log(5) + 0.5
3. Garman-Klass Volatility Estimator
Standard ATR uses only the prior close and current high/low. The Garman-Klass estimator uses all four OHLC prices, producing a more statistically efficient estimate of true volatility:
gkBar = 0.5 * math.pow(math.log(high / math.max(low, syminfo.mintick)), 2.0)
- (2.0 * math.log(2.0) - 1.0) * math.pow(math.log(close / math.max(open, syminfo.mintick)), 2.0)
The GK estimate is averaged over a configurable period and normalized to a 0-100 percentile rank over the trailing 100 bars.
4. Three-Factor Entropy Classification
LOW entropy requires FER above a threshold AND ADX above a minimum AND Hurst estimate above 0.52. HIGH entropy is triggered when FER falls below a lower threshold OR ADX falls below a minimum. TRANSITION is the state between the two.
5. Adaptive Momentum Oscillator (AMO)
The AMO blends three momentum inputs with fixed weights: RSI(14) centered at 50 (40%), Stochastic(14) centered at 50 (35%), and Williams Percent Range(14) centered at -50 (25%). Directional signals fire only in LOW entropy when AMO crosses zero and KAMA confirms via crossover/under.
Features
Fractal Efficiency Ratio: Net directional move divided by total path length, configurable lookback
Synthetic Hurst Exponent: Variance ratio approximation identifying persistent vs. anti-persistent price behavior
Garman-Klass volatility: OHLC-based volatility estimator normalized to percentile rank over 100 bars
Three entropy states: LOW, TRANSITION, HIGH — each with distinct visual treatment
10-line entropy ribbon: EMA lines colored by entropy state for visual history of regime transitions
Adaptive Momentum Oscillator: RSI + Stochastic + WPR composite with fixed optimal weights
Entropy-gated signals: AMO + KAMA confirmation signals fire only in LOW entropy state
Regime background tint: Background tinted by entropy state, cleared after 10 bars
Trade block on signal: ATR-based TP and stop rendered as boxes on signal bars
12-row institutional dashboard: FER, Hurst estimate, GK volatility percentile, ADX, AMO, entropy state, signal, win rate, bars in current state
Non-repainting: All signals gated by barstate.isconfirmed; no future data referenced
Four color themes: Phantom, Neon, Classic, Solar
Input Parameters
Fractal Efficiency:
FER Lookback (default: 14)
LOW Entropy FER Minimum (default: 0.60)
HIGH Entropy FER Maximum (default: 0.35)
Hurst Exponent:
Hurst Window (default: 20)
LOW Entropy Hurst Minimum (default: 0.52)
Garman-Klass Volatility:
GK Averaging Length (default: 14)
ADX Gate:
Min ADX for LOW Entropy (default: 22)
Signal:
AMO Cross Threshold, KAMA Period, Cooldown Bars
TP ATR Multiple, SL ATR Multiple
How to Use This Indicator
Step 1: Read the Entropy State
Check the dashboard. LOW entropy means the market is behaving in an organized, directional way — this is when momentum signals carry more weight. HIGH entropy means the market is chaotic — avoid directional signals.
Step 2: Watch FER and Hurst Together
FER and Hurst are independent measures of market organization. When both agree (high FER AND Hurst > 0.52 simultaneously), the LOW entropy classification is more reliable.
Step 3: Enter on AMO + KAMA Confirmation
Signals fire only when the AMO crosses zero in the signal direction AND price crosses the KAMA level simultaneously. Both conditions must occur on the same confirmed bar in a LOW entropy environment.
Indicator Limitations
The Hurst approximation via variance ratio is a simplified estimate. It should be treated as a directional indicator of persistence, not a precise statistical measure
The FER computation on every bar may affect chart loading performance for very long lookback periods on large datasets
LOW entropy classifications can persist during slow grinding trends that produce high FER but low volatility. These environments may produce signals with narrower ATR-based targets
The GK estimator can return unreliable values when open equals close (as occurs on some synthetic instruments or during gaps)
This indicator classifies entropy state. It does not predict how long the state will persist or when it will change
Originality Statement
The combination of Fractal Efficiency Ratio, synthetic Hurst Exponent via variance ratio, and Garman-Klass volatility estimator as a three-factor entropy classification system gating AMO momentum signals is not replicated in any existing open-source Pine Script v6 publication as of this writing
The Garman-Klass estimator as a volatility input provides a more statistically efficient OHLC-based volatility measure that captures intraday range information not available in ATR
Gating a composite three-input momentum oscillator by an entropy state derived from completely different mathematical principles (efficiency, persistence, and OHLC volatility) rather than using a single lagging derivative like ADX as the sole filter is an original analytical architecture
Disclaimer
This indicator is provided for educational and informational purposes only. It is not financial advice. Trading involves substantial risk of loss. Entropy classifications are approximations based on historical price data and do not guarantee future market behavior will repeat. The Hurst approximation used is a simplified estimate, not a statistically rigorous computation. Past win rates do not predict future performance. The author accepts no responsibility for trading losses resulting from use of this indicator.
Made with passion by jackofalltrades
Indicator
Trade Execution Desk [JOAT]Trade Execution Desk is an open-source trade planning and session management tool designed for futures and structured discretionary traders who operate under daily loss limits, risk tier constraints, and session performance targets. It combines position sizing from account parameters, automatic pivot-based stop detection, three take-profit levels with risk-reward boxes, a 10-trade manual session log, and session status tracking into a single indicator.
The problem this addresses is the gap between an indicator that shows signals and a tool that translates those signals into an actual trade plan. Trade Execution Desk does not generate signals — it helps the trader structure the trade after a signal has been identified, ensuring that position size, stop placement, and profit targets are consistent with the account's defined risk parameters before the order is placed.
Core Concepts
1. Risk-Based Position Sizing
Position size is computed from the daily loss limit, maximum risk percentage, risk tier multiplier, and the calculated stop distance in ticks:
tierMult = tier == "FULL" ? 1.0 : tier == "HALF" ? 0.5 : 0.25
riskAmount = (dailyLossLimit * maxRiskPct / 100.0) * tierMult
contractsAllowed = math.floor(riskAmount / (stopDistTicks * tickValue))
This produces a contracts-allowed figure that respects the current risk tier and the actual stop distance on the current setup.
2. Three Risk Tiers
The FULL tier allows the full calculated position size. The HALF tier reduces it by 50%. The QUARTER tier reduces by 75%. Tier selection reflects the trader's confidence level or account drawdown state.
3. Auto Pivot Stop Detection
When auto stop is enabled, the indicator detects the most recent confirmed pivot high (for short trades) or pivot low (for long trades) and places the stop price at that level plus a configurable tick buffer. This anchors the stop to the nearest structural level automatically.
4. Trade Block Visualization
Entry, stop, and three TP levels are plotted as horizontal lines with right-edge labels. The risk zone (entry to stop) is shown as a translucent red box; the reward zone (entry to TP1) as translucent green. All objects extend rightward in real time.
5. Session Management
Four session-end conditions are tracked: daily target reached, maximum trade count reached, maximum loss count reached, and account rule violation. When any condition triggers, a session lockout overlay is displayed on the chart as a visual reminder that session trading is complete.
6. Manual Trade Log
Ten trade entries can be logged manually with tier type and result. Results are converted to the selected unit (points, ticks, dollars, or percent of account). Sequential processing chains each entry's outcome into running totals for session P&L, trade count, loss count, and violation flag. A promotion threshold tracks whether the session meets the criteria to advance to the next risk tier.
Features
Risk-based position sizing: Contracts calculated from loss limit, risk percent, tier multiplier, and actual stop distance
Three risk tiers: FULL / HALF / QUARTER with independent position size scaling
Auto pivot stop detection: Nearest confirmed pivot placed as stop with configurable tick buffer
Three TP levels with gradient boxes: TP1, TP2, TP3 as horizontal lines with translucent colored boxes
Session status tracking: Target, max trades, max losses, and violation triggers with visual lockout overlay
Ten-entry manual trade log: Each entry processed with tier, result, and unit conversion
Promotion threshold: Tracks whether session performance meets the criteria to advance risk tier
Unit conversion: All results displayable in Points, Ticks, Dollar, or Percent
Session lockout overlay: Full-chart colored overlay when session ends, with reason displayed
17-row institutional dashboard: Account params, tier state, stop/entry/TP levels, session status, trade log summary, promotion progress
Non-repainting: All pivot detections use confirmed pivot functions with symmetric lookback
Input Parameters
Risk Parameters:
Account Size ($), Daily Loss Limit ($), Max Risk % Per Trade
Tick Value ($), Ticks Per Point
Daily Target ($), Max Trades Per Session, Max Losses Per Session
Risk Tier and Carryover:
Current Risk Tier: FULL / HALF / QUARTER
Carryover Deficit ($), Quarter Violation Active toggle, Quarter Extra Deficit ($)
Trade Planning:
Trade Direction: Long / Short
Enable Auto-Pivot Stop toggle, Pivot Left/Right Bars, Stop Buffer (Ticks)
Manual Stop Price (0 = use auto)
RR Levels:
Show TP1, TP2, TP3 toggles with RR multiples and colors
Risk Zone and Reward Zone toggles
Result Unit: Points / Ticks / Dollar / Percent
Trade Log:
10 trade entries: Tier selector + Result value per entry
How to Use This Indicator
Step 1: Configure Account Parameters
Set your account size, daily loss limit, tick value, and ticks per point to match your trading instrument. Set the daily target and maximum trades/losses for your session rules.
Step 2: Select Risk Tier
Choose FULL, HALF, or QUARTER based on your current account standing or confidence level. The contracts-allowed figure in the dashboard updates automatically.
Step 3: Read the Entry/Stop/TP Levels
After identifying a trade direction, the auto-pivot stop places your stop at the nearest confirmed structural level. TP1, TP2, and TP3 are calculated automatically based on the stop distance and your configured RR multiples.
Step 4: Log Trades Manually
After each trade, enter the tier and result in the trade log section. The dashboard updates session P&L, win rate, and promotion progress in real time.
Step 5: Respect the Session Lockout
When the session lockout overlay appears, the reason is displayed prominently on the chart. The lockout is a visual reminder only — it does not interact with your broker.
Indicator Limitations
Position sizing uses tick value and ticks-per-point inputs specific to the traded instrument. These must be configured correctly for the output to be meaningful
The session lockout overlay is a visual reminder only. It does not block order placement
The manual trade log requires manual input after each trade. It does not auto-detect executions
Promotion threshold calculation uses simple arithmetic from input values and may not account for all possible rule variations across different prop firm structures
This indicator is a planning and logging tool. It does not generate entry or exit signals
Originality Statement
The combination of risk-tier-aware position sizing, session-end condition tracking with visual chart lockout, a 10-entry chained trade log with unit conversion, and a promotion threshold tracker in a single open-source overlay indicator is not replicated in existing Pine Script v6 publications
The sequential chaining of manual trade log entries through a processing function that propagates trade count, loss count, running P&L, and violation flag forward through ten entries provides structured session accounting within a chart indicator
Disclaimer
This indicator is provided for educational and informational purposes only. It is not financial advice. Position sizing outputs are mathematical calculations based on user-provided inputs and do not account for all real-world trade execution factors. Always verify position sizes and risk parameters independently before placing orders. The author accepts no responsibility for trading losses resulting from use of this indicator.
Made with passion by jackofalltrades
Indicator
Volume Drift Profile [JOAT]Volume Drift Profile
Introduction
Volume Drift Profile is an open-source trend detection indicator that derives directional bias from rolling pivot averages rather than fixed moving averages, and visualizes volume directly on the drift lines themselves as a histogram. The volume histogram coloring adapts to three modes — delta (buy-sell pressure gradient), trend (directional mono-color), and spike-highlighted — making the volume context immediately readable without a separate volume panel.
Most trend indicators separate the price trend line from the volume analysis. The trend line tells you the direction; you look at a separate volume bar panel to interpret whether that direction is supported. Volume Drift Profile overlaps both by rendering volume bars along the drift lines themselves, so the relationship between trend level and volume support is visually immediate.
Core Concepts
1. Pivot Drift Line Calculation
The upper drift line is the rolling average of the most recent N confirmed pivot highs. The lower drift line is the rolling average of the most recent N confirmed pivot lows. This produces smoothed, structurally-anchored reference levels that adapt as new pivots confirm, rather than a fixed-period moving average that treats all bars equally.
if not na(ph)
phArr.push(ph)
if phArr.size() > avgCount : phArr.shift()
upperDrift := phArr.avg()
Trend flips when price crosses above the upper drift (bull) or below the lower drift (bear).
2. Volume Normalization
Volume is normalized by its 200-bar standard deviation, capped at 4. This z-score-like measure produces a 0-4 scale where 4 represents an extreme volume spike. The step height of each volume bar on the drift line is proportional to this normalized value, so spike bars visually dominate the histogram.
3. Three Volume Coloring Modes
Delta mode computes a buy ratio from (close - low) / (high - low) and maps it through color.from_gradient() between the bear and bull theme colors. Bars with higher closes relative to their range appear in bull color; lower closes in bear color. Volume intensity is further modulated by the normalized volume level.
Trend mode uses a single directional color with intensity modulated by normalized volume.
Spike mode uses trend color normally but switches to a dedicated spike color for bars where normalized volume reaches the extreme level.
4. Absorption Detection
An absorption bar is identified when volume exceeds twice the 20-bar average (high institutional participation) while the body-to-range ratio is below 30% (price closes near where it opened). This pattern suggests large volume without directional price movement — potential institutional accumulation or distribution.
5. Volume-Weighted Momentum
A running Volume-Weighted Momentum reading tracks cumulative signed volume weighted by price change, normalized to a readable scale. This reading reflects directional institutional bias — rising VWM during an uptrend suggests genuine buying pressure supports the move.
Features
Pivot drift lines: Upper and lower drift from rolling average of last N confirmed pivot highs and lows
Volume histogram on drift lines: Volume bars rendered along the active drift line, sized by normalized volume
Three volume coloring modes: Delta (buy-sell gradient), Trend (directional mono), Spikes (trend + spike highlights)
Gradient fill between drift and price: Translucent fill between the active drift line and current price
Candle volume coloring: Optional bar coloring by volume intensity and trend direction simultaneously
Spike detection and highlighting: Bars with extreme normalized volume shown in dedicated spike color
Absorption detection: High-volume, small-body bars marked as potential institutional absorption events
Volume-Weighted Momentum display: VWM reading normalized and displayed in dashboard
Trend flip labels: Clean text labels at trend reversal points with direction indicator
Non-repainting: Pivot detection uses standard confirmed pivot functions with symmetric lookback
Dashboard: 8-row table with trend direction, volume mode, volume intensity, absorption state, spike state, bars in trend, and VWM
Input Parameters
Drift Structure:
Pivot Lookback: Bars required on each side for pivot confirmation (default: 8)
Pivot Avg Count: Number of pivots to average for drift line (default: 3)
Volume:
Volume Color Mode: Delta / Trend / Spikes
Histogram Height: Scale of volume bars on drift line (default: 0.3)
Show Volume Histogram toggle
Color Price Bars toggle
Show Drift Fill toggle
Spike Color
Absorption:
Show Absorption Dots toggle
Absorption Volume Multiple (default: 2.0)
Max Body Ratio for absorption detection (default: 0.3)
How to Use This Indicator
Step 1: Read the Drift Line Direction
The active drift line (lower drift in uptrend, upper drift in downtrend) is the primary trend reference. When price is above the lower drift, the trend is bullish. When price crosses the upper drift downward, the trend flips bearish.
Step 2: Interpret Volume Histogram Color
In Delta mode, teal/bull-colored bars represent buying pressure dominating that bar; bear-colored bars represent selling pressure. When large volume bars appear in the trend direction, it confirms the drift.
Step 3: Monitor Absorption Events
Absorption dots mark bars where institutional participants may be accumulating. Large absorption bars at drift line levels are particularly significant — they suggest the drift level is actively defended.
Step 4: Use VWM as Direction Confirmer
Rising VWM during an uptrend means volume-weighted momentum supports price movement. Flat or declining VWM during an uptrend flags weak participation — a potential warning of trend exhaustion.
Indicator Limitations
Drift lines require at least N confirmed pivots to begin rendering. In early bars of a new chart, the lines will be absent
The volume histogram renders along the drift line. In periods of very high drift line slope, the histogram may visually overlap the price range
Absorption detection uses volume relative to a 20-bar average. In low-liquidity environments, the threshold may trigger on routine trading activity
The pivot lookback introduces a lag between when a pivot forms and when the drift line updates
Originality Statement
Rendering a volume histogram directly along pivot drift lines — rather than in a separate panel — as a real-time visualization that integrates trend level and volume support in a single overlay is an original approach
Three independently selectable volume coloring modes driven by a normalized volume z-score, combined with buy-ratio gradient coloring in delta mode, is not replicated in existing open-source pivot drift indicator publications
Disclaimer
This indicator is provided for educational and informational purposes only. It is not financial advice. Trading involves substantial risk of loss. The author accepts no responsibility for trading losses resulting from use of this indicator.
Made with passion by jackofalltrades
Indicator
Delta Barometer [JOAT]Delta Barometer
Introduction
Delta Barometer is an open-source dual-engine institutional pressure indicator that generates directional signals from two independent momentum measurement systems — an ATR trailing stop with Trend Strength Score, and a cumulative delta volume crossover with Pressure Score — and allows the user to configure how the two engines interact via four hybrid modes.
The core insight is that trend-following signals and momentum signals often disagree during transition periods and agree during high-probability setups. By building both engines independently, assigning each a score that reflects the quality of its reading, and providing modes that require either one engine, either engine, or both engines simultaneously, the indicator lets traders choose the selectivity level appropriate to their strategy. Requiring confluence produces fewer but higher-quality signals; allowing either engine to fire produces more signals with less selectivity.
Core Concepts
1. Engine A: ATR Trailing Stop with Trend Strength Score
A regime-adaptive ATR trailing stop is computed with different multipliers for low, medium, and high volatility environments. The ATR ratio determines the regime. The trail ratchets in one direction only and produces a signal on flip.
A Trend Strength Score (TSS) between 0 and 100 qualifies each trail flip: RSI slope magnitude contributes 40%, volume rate relative to its average contributes 35%, and ATR expansion relative to a shorter ATR period contributes 25%.
float tssScore = (rsiSlopeComp * 0.40 + volRatioComp * 0.35 + atrExpandComp * 0.25) * 100
2. Engine B: Cumulative Delta Volume with Pressure Score
Signed volume (positive when close is above open, negative otherwise) is accumulated into a running cumulative delta. A moving average of the cumulative delta is computed. A crossover of delta above its moving average is a potential bullish signal; a crossunder is bearish.
A Pressure Score between 0 and 100 qualifies each delta crossover: the magnitude of the delta ratio contributes 40%, volume rate relative to average contributes 35%, and candle body size relative to candle range contributes 25%.
3. Four Hybrid Modes
Both Engines: A signal requires both Engine A and Engine B to produce a raw signal simultaneously. Highest selectivity.
Priority A: Engine A signals take precedence; Engine B fills gaps where A is not firing.
Priority B: Engine B signals take precedence; Engine A fills gaps where B is not firing.
Either Engine: A signal fires when either engine produces a raw signal. Highest frequency.
4. Regime Arming
Each engine can be restricted to fire only in compatible volatility regimes — preventing the trailing engine from generating whipsaw signals during volatility compression.
5. Five-State Pressure Candle Coloring
Bar colors reflect the combined pressure state across both engines on a five-level scale: strong bull, moderate bull, neutral, moderate bear, strong bear.
Features
Engine A — ATR trail with TSS: Regime-adaptive trailing stop with Trend Strength Score qualifying each flip signal
Engine B — Delta volume with Pressure Score: Cumulative signed volume crossover with composite Pressure Score qualification
Four hybrid modes: Both Engines, Priority A, Priority B, Either Engine — configurable selectivity
Regime arming: Each engine independently armed for specific volatility regimes
Five-state pressure candle coloring: Strong bull / moderate bull / neutral / moderate bear / strong bear reflected in bar colors
Gradient trail fill: Gradient between trailing stop and close; color inverts with trail direction
Trade block on signal: Entry, stop (correctly positioned above entry for shorts, below for longs), and TP level rendered as colored boxes on confirmed signals. Stop line is bold dashed red with high-contrast label background. Entry always sits visually between the stop and take-profit zones
9-column horizontal dashboard: Mode, regime, TSS, pressure score, trail direction, delta, engine ID, signal state, status — shown in a horizontal table layout at chart bottom
Non-repainting: All signals confirmed on barstate.isconfirmed
Four color themes: Phantom, Neon, Classic, Solar
Backtest tracker: Win rate and expected value tracked per engine type
Input Parameters
Engine A — ATR Trail:
ATR Length, Low/Med/High Regime Multipliers
Regime ATR Lookback, Low/High Vol Thresholds
TSS Lookback and Min TSS Score to fire
Engine B — Delta Volume:
Delta MA Length, Min Pressure Score
RSI Overbought/Oversold gates
Hybrid Mode:
Hybrid Mode: Both Engines / Priority A / Priority B / Either Engine
Engine A and B arming: All / Low Only / Med + High / High Only
Signal:
Cooldown Bars, TP ATR Multiple, SL % from Entry
How to Use This Indicator
Step 1: Select the Hybrid Mode
Start with Either Engine for maximum signal frequency. Switch to Both Engines when you want only the highest-conviction setups. Priority modes are useful when you trust one engine more than the other for a particular asset.
Step 2: Read the 9-Column Dashboard
The horizontal dashboard shows the current state of both engines simultaneously. The ENGINE column shows which engine fired (A, B, or A+B for confluence). The TSS and PRESSURE columns show the raw quality scores of each engine.
Step 3: Verify Trade Block Direction
For LONG signals: the red risk box appears below entry (stop is below) and the green reward box appears above entry (TP is above). For SHORT signals: the red risk box appears above entry (stop is above) and the green reward box appears below entry (TP is below). Entry is always the dividing line between the two zones.
Step 4: Use Regime Arming for Market Fit
If the asset tends to trend strongly, arm Engine A for all regimes. If it is more volatile-momentum driven, arm Engine B for all regimes. Use Med + High arming for Engine A to avoid choppy low-volatility whipsaws.
Indicator Limitations
The TSS score components all lag price by varying amounts. Signals in fast-moving markets may arrive after the optimal entry point
Cumulative delta volume as used here is a proxy. It approximates institutional bias without access to true bid-ask tick data
Both Engines mode will produce very few signals on most assets. Adjust to Priority or Either modes if signal frequency is too low
Regime classification uses ATR ratio, which is a lagging measure. A volatility spike that changes the regime will affect engine arming only after ATR responds
Originality Statement
The dual-engine architecture with four configurable interaction modes — each engine carrying its own qualification score — and per-engine regime arming is an original design not replicated in existing open-source Pine Script v6 publications
The Trend Strength Score weighting RSI slope, volume rate, and ATR expansion as qualification for ATR trail flip signals, combined with a separate Pressure Score for delta crossovers, provides independent signal quality assessment that single-engine indicators do not offer
Disclaimer
This indicator is provided for educational and informational purposes only. It is not financial advice. Trading involves substantial risk of loss. Past signal statistics do not predict future performance. The author accepts no responsibility for trading losses resulting from use of this indicator.
Made with passion by jackofalltrades
Indicator
Structure Fracture Map [JOAT]Structure Fracture Map is an open-source market structure and imbalance zone indicator that combines Fair Value Gap detection with a dynamic quality scoring system, a dual strength bar visualization inside each zone, and a real-time Break of Structure and Change of Character engine. It provides a single-indicator view of where price has left imbalances, how significant those imbalances are, and where structural shifts have occurred.
The problem with most FVG indicators is static treatment — a gap is detected and displayed with no differentiation between a high-quality gap formed on a strong impulse with above-average volume and a weak gap formed on a low-volume, narrow-range bar. Structure Fracture Map scores every FVG at formation and continuously updates that score based on mitigation progress, age, and trend alignment, ranking all active zones so that only the most institutionally relevant ones remain visible.
Core Concepts
1. Fair Value Gap Detection
A bullish FVG exists when the current bar's low is above the high of the bar two positions prior — a three-bar pattern where the middle bar's range creates a gap that price has not filled. A bearish FVG is the inverse. Detection is confirmed only on completed bars to prevent repainting.
2. Four-Component Strength Score
Each FVG receives an initial strength score from four components: gap size relative to ATR(14) scaled to 40 points, volume relative to 20-bar average scaled to 30 points, trend EMA alignment scaled to 20 points, and candle body-to-range ratio scaled to 10 points. The score is recalculated every bar, with a small age penalty and a mitigation penalty applied as price partially fills the gap:
float totalStrength = (gapScore * 40) + (volScore * 30) + (trendScore * 20) + (candleScore * 10)
fvg.qualityScore := totalStrength - fvg.mitigation * 50 - fvg.age * 0.1
3. Dual Strength Bars
Inside each FVG box, two small bars are rendered — one showing bearish pressure score and one showing bullish pressure score as a proportion of the box width. The relative lengths reflect which directional force is currently dominating at that imbalance zone.
4. Mitigation Tracking
Mitigation is computed as the ratio of how far price has penetrated into the zone to the total zone height. A fully mitigated FVG is removed from the display. Partially mitigated FVGs remain visible with their score updated downward, reflecting reduced structural significance.
5. Break of Structure and Change of Character
Pivot highs and lows track the most recent confirmed structural levels. A Break of Structure (BOS) occurs when price closes through the last confirmed pivot in the current structural direction — confirming continuation. A Change of Character (CHoCH) occurs when price closes through the last confirmed pivot against the current direction — signaling a potential structural shift. Both events are labeled with a horizontal line at the break level.
Features
FVG detection with quality scoring: Bullish and bearish fair value gaps detected and scored by gap size, volume, trend alignment, and candle quality
Dynamic score updates: Quality scores recalculated each bar with age decay and mitigation penalty
Top-N zone ranking: Only the highest-scoring active zones displayed; lower-quality zones removed as better ones form
Dual strength bars: Bearish and bullish strength bars inside each zone show directional pressure balance
Mitigation tracking: Zones removed automatically when fully mitigated; partial mitigation reflected in updated score
BOS and CHoCH detection: Structural break events labeled with horizontal level lines and text identifiers
HH / HL / LH / LL pivot labels: Confirmed swing pivot types labeled on chart for structural context
Swing level extension lines: Dotted lines at current unbroken swing levels extending to right edge of chart
Four color themes: Phantom, Neon, Classic, Solar
Non-repainting: All detection gated by barstate.isconfirmed
Alert conditions: New top-ranked FVG, BOS bull, BOS bear, CHoCH bull, CHoCH bear, FVG touched
Dashed FVG borders: Each Fair Value Gap box has a dashed colored border matching its directional bias — teal for bullish, pink for bearish
Clean pivot arrow labels: HH, HL, LH, LL events rendered as minimal text arrows (▲ HH etc.) with no background box, positioned above/below bars without obstructing price action
Short BOS/CHoCH event lines: Break of Structure and Change of Character events marked with compact 6-bar horizontal lines and right-anchored labels — no full-width horizontal clutter
Resistance/Support swing extensions: Nearest unbroken swing high labeled "Res" and swing low labeled "Sup" at right edge, updated each bar
Structural bias background: Subtle bull/bear background tint driven by current HH/HL or LH/LL structural sequence
Trend EMA reference line: 50-period EMA plotted in elite theme color as a trend context reference
Input Parameters
FVG Zones:
Show Top Zones: Maximum number of ranked zones displayed (default: 10)
Max Stored FVGs: Maximum FVGs tracked in memory (default: 50)
Volume MA Length: Volume average for scoring (default: 20)
Trend EMA Length: Trend alignment reference (default: 50)
Show Strength Bars toggle
Bull/Bear FVG colors
Market Structure:
Swing Lookback: Bars required on each side for pivot confirmation (default: 10)
Show Structure Labels toggle
Show BOS Events toggle
Show CHoCH Events toggle
Show Swing Level Lines toggle
How to Use This Indicator
Step 1: Read Zone Rankings
Zones with higher quality scores represent structurally more significant imbalances. Focus on fresh (un-mitigated) zones with strong scores for potential reaction areas.
Step 2: Monitor Dual Strength Bars
A bullish FVG whose bearish strength bar is growing indicates that selling pressure is building within the zone. When the bearish bar exceeds the bullish bar, the zone may be losing its bullish character.
Step 3: Use BOS and CHoCH for Context
A BOS confirms continuation. A CHoCH is a warning that the current structural bias may be reversing. CHoCH events near high-quality FVG zones are particularly significant structural signals.
Step 4: Watch Swing Level Extensions
The dotted right-edge lines show the nearest unbroken swing high and low — the next levels where a BOS or CHoCH could occur. These levels frame the most immediate structural breakpoints.
Indicator Limitations
Pivot confirmation requires a lookback offset. BOS and CHoCH events are labeled after confirmation, not on the bar that caused them
FVG quality scores include volume as a factor. On instruments where volume is less meaningful, the score may rank gaps differently than expected
Age penalty causes long-standing FVGs to lose score over time even if they remain structurally valid
This indicator identifies existing imbalances and structural events. It does not predict where price will go next
Originality Statement
A dynamic per-bar quality score for FVGs that decays with age and mitigation, combined with a top-N ranking system that actively removes lower-quality zones when better ones form, is not replicated in existing open-source Pine Script v6 FVG publications
Dual strength bars rendered inside each FVG box — showing the current bull-versus-bear directional pressure balance within that specific imbalance zone — is an original visualization concept
Combining FVG quality ranking, mitigation tracking, BOS/CHoCH structural event detection, and pivot type labeling in a unified indicator with a single clean overlay is an original integration
Disclaimer
This indicator is provided for educational and informational purposes only. It is not financial advice. Trading involves substantial risk of loss. Fair Value Gaps and structural events are based on historical price data and do not predict future price direction. The author accepts no responsibility for trading losses resulting from use of this indicator.
Made with passion by jackofalltrades
Indicator
Kinetic Ribbon Trail [JOAT]Kinetic Ribbon Trail
Introduction
Kinetic Ribbon Trail is an open-source trend-following indicator built on two structural layers: a 20-line Hull Moving Average gradient ribbon that quantifies the spread and conviction of near-term versus long-term momentum, and a Fibonacci-anchored adaptive trailing stop that adjusts its sensitivity based on the current swing structure and volatility ratio. The two layers interact — the ribbon provides visual context for momentum strength while the trail provides the dynamic level that determines directional bias.
The unique analytical contribution is the ribbon normalization. Most HMA ribbon indicators simply plot multiple lines and fill between them. Kinetic Ribbon Trail computes the signed spread between the fastest and slowest ribbon line, normalizes it by the 200-bar exponential average of that spread, clamps it to a -1 to +1 range, and uses the result to drive a continuous color gradient between the bear and bull theme colors. This means the ribbon's color intensity directly reflects how unusual the current momentum spread is relative to its historical average — not just whether the ribbon is bullish or bearish.
Core Concepts
1. 20-Line HMA Ribbon with rFactor Normalization
Twenty Hull Moving Average lines are computed from a base period, incrementing by a configurable step. The spread between the fastest and slowest line is the primary signal variable:
rSpread = rh01 - rh20
rAvgSpread = ta.ema(math.abs(rSpread), 200)
rFactor = math.max(-1, math.min(1, rSpread / (rAvgSpread * 1.5 + 1e-9)))
rCol = color.from_gradient(rFactor, -1, 1, colorBEAR, colorBULL)
When the fastest line is far above the slowest relative to its recent average, rFactor approaches +1 and the ribbon glows in full bull theme color. The gradient reflects spread magnitude — a bullish spread twice as wide as normal appears more saturated than one just barely positive.
2. Fibonacci Adaptive Trailing Stop
The trailing stop anchors to swing structure rather than to fixed ATR multiples. Confirmed swing highs and lows define a Fibonacci range. Three trail levels are computed from this range at the 0.382, 0.5, and 0.618 Fibonacci retracement. One is selected based on the trail mode: Aggressive, Balanced, or Conservative. A volatility adjustment scales the selected level by the inverse of the current volatility ratio.
The trail ratchets: for longs, it can only move up. For shorts, it can only move down. A flip occurs when price closes through the trail level with body ratio and penetration confirmation.
3. Four-State Regime Detection
A four-state regime classification determines which visual treatments are active: Trend Bull, Trend Bear, Range High-Vol, Range Low-Vol. The classification uses ADX relative to a threshold and the ATR-to-SMA(ATR) ratio. When a regime transition occurs, the chart background is tinted for 10 bars in the corresponding theme color before clearing.
4. Six-Factor Confidence Score
Each signal is assigned a confidence grade (D through A+) based on six weighted factors: swing structure alignment (20%), regime alignment (20%), ADX strength (15%), volume participation (15%), volatility favorability (15%), and SMA50 proximity to trail level (15%). Signals below a user-set minimum grade are suppressed.
Features
20-line HMA gradient ribbon: rFactor-normalized color gradient reflecting momentum spread intensity vs. its 200-bar historical average
19 ribbon fill layers: Adjacent HMA lines filled with gradient opacity layers for depth visualization
Fibonacci adaptive trailing stop: Trail anchored to swing structure at 0.382 / 0.5 / 0.618 Fibonacci levels with volatility adjustment
Trail ratchet with flip confirmation: Trail advances in one direction only; flips require body ratio and penetration confirmation
Gradient trail fill: Fill between trail and close — top color opaque, bottom color transparent
Four-state regime detection: Trend Bull, Trend Bear, Range High-Vol, Range Low-Vol with background tint on transition
Six-factor confidence scoring: A+ / A / B / C / D grading system applied to each signal
Confidence filter: Signals below the minimum confidence grade are suppressed
Trade block on trail flip: Entry, stop, TP1/TP2/TP3 rendered as gradient boxes on confirmed flip signals
Backtest tracker: Win rate and expected value
Four color themes: Phantom, Neon, Classic, Solar
Non-repainting: All signals gated by barstate.isconfirmed
Institutional dashboard: 13-row table with regime, trail level, confidence grade, signal, TP/SL levels, and performance stats
Input Parameters
Ribbon:
Base Length: Fastest HMA period (default: 10)
Step: Increment between each ribbon line (default: 14)
Fibonacci Trail:
Trail Mode: Aggressive (0.618) / Balanced (0.5) / Conservative (0.382) / Auto (regime-adaptive)
Pivot Lookback: Bars required to confirm a swing pivot
Confidence:
Enable Confidence Filter toggle
Min Signal Grade: D / C / B / A / A+
Trade Levels:
Show Trade Block toggle
Risk Preset: Conservative / Balanced / Aggressive / Scalping
Extend Bars: How far lines project right
How to Use This Indicator
Step 1: Read the Ribbon Color
A deeply saturated bull color means the ribbon spread is unusually wide — momentum is strong. A muted or transitional color means the spread is near its historical average — momentum is uncertain.
Step 2: Watch for Trail Flips
A signal fires when the Fibonacci trail flips direction and confidence meets the minimum grade. The trade block appears immediately with entry, stop, and three TP levels.
Step 3: Use Regime Context
The four-state regime in the dashboard tells you whether you are in a trending or ranging environment. High-confidence signals in trending regimes carry more structural weight than the same grade in a ranging regime.
Indicator Limitations
Swing detection uses ta.pivothigh() and ta.pivotlow() with a lookback offset. The Fibonacci levels are computed from swings confirmed bars after they occurred
In markets with very shallow swing structures, the Fibonacci range can be small relative to ATR, causing the trail to cluster near the current price and produce excessive flips
The 20-line ribbon increases visual complexity. Reducing the base length and step can make the ribbon more compact on busy charts
The confidence score uses volume as one factor. On timeframes or instruments where volume is not meaningful, this factor should carry less weight
Regime detection uses ADX, which lags price. A trend that begins explosively may be classified as ranging for several bars before ADX responds
Originality Statement
The rFactor normalization — dividing ribbon spread by a 200-bar EMA of absolute ribbon spread, clamped to -1/+1, driving a continuous color.from_gradient() — is an original approach to HMA ribbon coloring that reflects relative momentum intensity rather than absolute direction
Anchoring a trailing stop to Fibonacci retracements of the current confirmed swing structure, with volatility-ratio adjustment and body/penetration confirmation on flips, is distinct from standard ATR-multiplier trailing stops
The six-factor confidence scoring system applied per signal, producing an A+ to D grade that gates signal output, provides per-trade quality assessment within the indicator itself
Disclaimer
This indicator is provided for educational and informational purposes only. It is not financial advice. Trading involves substantial risk of loss. Past confidence grades and win rates do not predict future performance. The author accepts no responsibility for trading losses resulting from use of this indicator.
Made with passion by jackofalltrades
Indicator
Cascade Liquidity Zones [JOAT]Cascade Liquidity Zones
Introduction
Cascade Liquidity Zones is an open-source institutional stop-hunt and liquidity zone detector built around the mechanics of how large participants move price through retail stop clusters before reversing. It identifies demand and supply zones from pivot-impulse structures, scores them by quality, confirms sweep events with multiple filters, and marks potential failure entry patterns — all within a single indicator that requires no additional tools to interpret.
The foundational premise is that price routinely sweeps beyond visible structural levels to trigger stop orders placed by retail participants, before institutional participants absorb the liquidity generated and reverse price. Identifying these events in advance, tracking the zones where they are likely to occur, and confirming them with volume and wick rejection filters produces a framework for anticipating institutional reactions at structural extremes.
Core Concepts
1. Pivot-Impulse Zone Creation
Demand zones are formed from confirmed pivot lows and supply zones from confirmed pivot highs. Each pivot creates a zone spanning a configurable ATR multiple, representing the area of institutional activity around that structural level. Zones are scored using a three-component Impulse Quality Score:
f_score(idx) =>
bodyR = math.abs(close -open ) / math.max(high -low , syminfo.mintick)
volR = volume / ta.sma(volume, 20)
atrR = (high -low ) / ta.atr(14)
(bodyR*40.0) + (math.min(volR,4.0)/4.0*35.0) + (math.min(atrR,3.0)/3.0*25.0)
This scores the impulse candle by three factors: directional body conviction (40%), volume participation relative to average (35%), and range size relative to ATR (25%).
2. Four-Layer Glow Zone Visualization
Each zone is drawn as four concentric boxes expanding outward from the core zone level, with decreasing opacity on each outer layer. This creates a visual glow effect that communicates zone location and zone type at a glance. Demand zones use the bull theme color; supply zones use the bear theme color.
3. Sweep Confirmation Engine
A demand zone sweep is confirmed when all of the following conditions pass simultaneously on a confirmed bar: minimum wick penetration percentage, close back inside or above the zone, volume exceeds average by a configurable multiple, wick rejection percentage exceeds minimum threshold, cooldown period elapsed, and optional pattern filters pass.
4. Failure Entry Engine
An alternative entry mode detects price failure patterns at pivot levels. A bullish failure occurs when price wicks below the most recent confirmed pivot low and closes back above it on the same bar, with the wick exceeding a minimum ATR size and a minimum rejection percentage. This targets trapped short-sellers at pivot extremes.
5. Zone Flip Mechanics
When price closes fully through a demand zone, that zone flips to a supply zone — its color changes from bull to bear theme color and it becomes eligible for short-side sweeps. This reflects the structural concept that broken support becomes resistance.
6. Liquidity Value and Hold Percentage
Each zone tracks cumulative volume × price product from its origin bar, displayed as a liquidity value label ($K, $M, $B). Zones also track how many times price has touched and rejected from them without breaking through, expressed as a hold percentage.
Features
Pivot-impulse zone creation: Demand and supply zones built from confirmed structural pivot points, scored by impulse quality
Three-component impulse quality score: Body conviction, volume participation, and ATR-relative range scored at zone creation
Four-layer glow boxes: Each zone drawn as four concentric boxes with decreasing opacity for a depth visualization effect
Multi-filter sweep confirmation: Wick penetration %, close direction, volume multiple, wick rejection %, cooldown, and optional pattern filters
Failure entry engine: Detects pivot-wick failure patterns as an alternative signal type with independent settings
Zone flip: Broken demand zones automatically flip to supply and vice versa
Liquidity value labels: Volume × price accumulated at each zone's origin bar, displayed in human-readable scale
Hold percentage: Ratio of zone tests that did not break through; used to prioritize zone strength
Trade block on sweep: Entry, stop, and two TP levels rendered as boxes and lines when a sweep confirms
Zone clustering: Overlapping zones within a minimum ATR separation are deduplicated, keeping the higher-quality zone
Backtest tracker: Win rate and expected value tracked across all sweep signals
Non-repainting: All sweep confirmations gated by barstate.isconfirmed
Institutional dashboard: 18-row table with zone statistics, sweep and failure counts, win rate, and expected value
Input Parameters
Zone Detection:
Pivot Lookback: Bars required on each side to confirm a pivot (default: 10)
Max Active Zones Per Side: Maximum simultaneous demand or supply zones (default: 8)
Zone ATR Width: Zone height as ATR multiple (default: 0.4)
Min Zone Separation: Minimum distance between zones in ATR units (default: 1.5)
Sweep Confirmation:
Min Wick Penetration %: Minimum wick extension through zone boundary
Volume Confirmation toggle and minimum volume multiple
Wick Rejection Filter toggle and minimum rejection %
Cooldown Bars Between Sweeps
Failure Entry:
Enable Failure Entry Mode toggle
Pivot lookback, wick ATR minimum, wick rejection minimum, volume confirmation, cooldown
Trade Block:
Show Trade Block toggle
RR Ratio for TP placement
SL Mode: Zone boundary or Wick extreme
SL Buffer in ATR units
How to Use This Indicator
Step 1: Identify Active Zones
Fresh zones (not yet swept) are displayed in full color. Prioritize fresh zones with high hold percentages and large liquidity values for upcoming sweep setups.
Step 2: Wait for Sweep Confirmation
A sweep is confirmed when the bar closes after the wick penetration. The trade block appears automatically with entry at the close of the confirmation bar, stop behind the zone boundary plus buffer, TP1 at 1:1 R, and TP2 at the configured RR ratio.
Step 3: Distinguish Sweeps from Failures
Standard sweeps require price to touch inside the zone boundary. Failure entries detect pivot-level failures at a higher structural level. Enable only one mode at a time to avoid conflicting signals.
Indicator Limitations
Pivot confirmation requires bars after the pivot candle. Zones are plotted with an inherent offset corresponding to the lookback length
All sweep confirmations require a bar close. Price that sweeps and reverses within the same bar without confirming on close will not generate a signal
Volume-based filters are less reliable on assets where volume data is unreported or synthetic
Zone flip mechanics assume that a broken level becomes resistance. This structural assumption does not hold in all market conditions
Originality Statement
The combination of a three-component impulse quality score at zone creation, four-layer glow box visualization, multi-condition sweep confirmation, zone flip mechanics, and a failure entry engine in a single indicator is not replicated in existing open-source Pine Script v6 publications
The liquidity value metric (volume × price at pivot origin) as a zone ranking input alongside hold percentage provides an institutional sizing dimension that simple pivot-based zone indicators do not include
The dual-mode architecture (sweep engine + failure entry engine) with independent settings for each, selectable via a single mode toggle, allows the same structural framework to address two different entry philosophies within one indicator
Disclaimer
This indicator is provided for educational and informational purposes only. It is not financial advice. Trading involves substantial risk of loss. Liquidity sweep patterns identified by this indicator represent historical structural events, not predictions of future price behavior. The author accepts no responsibility for trading losses resulting from use of this indicator.
Made with passion by jackofalltrades
Indicator
MIDAS Fibonacci Cloud [JOAT]MIDAS Fibonacci Cloud
Introduction
MIDAS Fibonacci Cloud is an open-source VWAP-based analytical tool that combines a MIDAS-anchored volume-weighted average price with six Fibonacci-scaled standard deviation bands, a Z-score probability engine, and a synthetic order flow score to produce an integrated picture of institutional value, statistical deviation, and directional pressure on a single overlay.
The problem this solves is band relevance. Standard VWAP deviations use fixed multipliers (1×, 2×, 3× standard deviation) that carry no structural meaning in market terms. Replacing those multipliers with Fibonacci ratios (0.236, 0.382, 0.5, 0.618, 1.0, 1.618) means the band levels correspond to proportional retracement relationships that institutional participants commonly reference. The 1.618 band in particular acts as an extreme extension zone where reversion probability, quantified by the built-in Z-score engine, typically exceeds 99.7%.
Core Concepts
1. MIDAS VWAP with Configurable Anchoring
The VWAP calculation uses the MIDAS method — cumulative volume-weighted price that resets at a user-selected anchor point rather than running as a continuous session VWAP. The anchor can be set automatically (based on the current timeframe), manually to a specific higher timeframe, or to a precise date. This allows the VWAP to be anchored to any significant market event.
The variance term used for standard deviation is computed directly from the volume-weighted sum of squared prices, producing a statistically correct VWAP standard deviation:
float midasVwap = sumVolPrice / sumVol
float variance = (sumVolSq / sumVol) - math.pow(midasVwap, 2)
float stdDev = math.sqrt(math.max(0, variance))
2. Fibonacci Deviation Bands
Six band pairs are computed above and below the VWAP anchor using the standard deviation scaled by a global sensitivity multiplier and each Fibonacci ratio. Upper bands are colored in the bull theme color with decreasing opacity from band 1 to band 6; lower bands in the bear theme color with the same gradient. A gradient fill connects the outer zone (fib4–fib6) to visually highlight the extreme deviation region.
3. Z-Score and Bell Curve Probability
Each bar's Z-score is computed as the signed distance from the VWAP in units of standard deviation. The dashboard converts this to a mean-reversion probability using standard normal distribution thresholds: within 1σ = 68.2%, within 2σ = 95.4%, within 3σ = 99.7%, beyond 3σ = 99.9%.
4. Synthetic Order Flow Score
A bar-level order flow score is computed from three components: candle body-to-range ratio (directional conviction), volume relative to the 20-bar average (institutional participation), and wick rejection percentage (price acceptance or rejection). These are weighted 40/35/25 and scored 0 to 100. VWAP crossover signals are gated by this score — crossovers with low order flow scores are filtered as noise.
5. Gradient Fill Zones
The two outer Fibonacci bands (fib4 and fib6) are connected with a gradient fill that creates a visual glow effect identifying the extreme deviation zones — the regions where price is statistically most likely to be overextended.
Features
MIDAS VWAP with three anchor modes: Auto (timeframe-adaptive), Timeframe (manual higher TF), Date (specific date anchor)
Six Fibonacci deviation band pairs: Levels at 0.236, 0.382, 0.500, 0.618, 1.000, 1.618 × standard deviation × global sensitivity
Gradient fill on extreme zones: Color-to-transparent gradient between fib4 and fib6 identifies overextension zones
Z-score and reversion probability: Computed every bar with bell curve probability output (68.2% / 95.4% / 99.7% / 99.9%)
Synthetic order flow gate: Body ratio, volume participation, and wick rejection combined into a 0-100 score that gates VWAP cross signals
Candle coloring by Z-score: Bar colors intensity-coded by distance from VWAP — neutral near center, saturated at extremes
Band labels at right edge: Each band level labeled with its Fibonacci ratio and price value, updated each bar
Anchor reset marker: Vertical marker in elite theme color at each VWAP reset point
Four color themes: Phantom, Neon, Classic, Solar
Non-repainting: VWAP and bands computed cumulatively from anchor; no future data referenced
Institutional dashboard: 8-row table showing VWAP price, distance %, Z-score, reversion probability, order flow score, and market state
Input Parameters
Anchor Settings:
Anchor Method: Auto / Timeframe / Date
Manual Timeframe: Timeframe to anchor to when method is Timeframe
Manual Date: Specific timestamp when method is Date
Fibonacci Multipliers:
Global Sensitivity: Scales all band widths proportionally (default: 1.2)
Fib Level 1 through 6: Individual Fibonacci ratios (defaults: 0.236, 0.382, 0.500, 0.618, 1.000, 1.618)
Visual Styles:
Color Theme: Phantom / Neon / Classic / Solar
Highlight Candles: Toggle candle coloring by Z-score
Show Band Labels: Toggle right-edge price labels on each band
Table Position and Size
How to Use This Indicator
Step 1: Choose Your Anchor
For intraday scalping, use Auto or Daily anchor. For swing trading, use Weekly or Monthly. For event-driven analysis, use Date and anchor to a specific earnings release, FOMC announcement, or major swing point.
Step 2: Read Band Levels as Statistical Reference
The 0.5 band is one half standard deviation from VWAP — a mild deviation typical of normal trending behavior. The 1.618 band is the extreme extension zone. Price at the 1.618 band has a statistical reversion probability above 99.7%, but this does not mean reversion is imminent or guaranteed.
Step 3: Check the Reversion Probability
Read the Reversion Prob row in the dashboard. As Z-score rises above 2, reversion probability exceeds 95.4%. This quantifies how unusual the current deviation is relative to the full history from the anchor point.
Step 4: Confirm with Order Flow Score
The Order Flow score reflects whether the current bar has institutional characteristics. A high score (above 60) during a VWAP cross suggests genuine participation. A low score (below 30) during a cross suggests a potentially false signal.
Indicator Limitations
The VWAP standard deviation widens significantly with the anchor period. Bands anchored to a six-month period will be very wide; bands anchored to one day will be tight. The global sensitivity parameter must be adjusted accordingly
The Z-score probabilities assume normally distributed returns, which markets do not produce. Fat tails mean extreme Z-scores occur more frequently than the percentages suggest
The synthetic order flow score uses tick volume as a proxy for actual order flow. On assets with low tick frequency, this approximation is less reliable
VWAP-based analysis is most relevant for liquid instruments
This indicator does not generate entry or exit signals. It provides statistical deviation context
Originality Statement
Replacing standard deviation band multipliers with Fibonacci ratios (0.236 through 1.618), scaled by a volume-weighted standard deviation from a MIDAS anchor, is not replicated in existing open-source Pine Script v6 VWAP publications
The combination of Z-score computation, bell curve probability quantification, and a synthetic order flow score as a gate for VWAP cross signals within a single indicator is an original integration
The candle coloring gradient driven by Z-score intensity provides real-time deviation awareness directly on price bars without requiring a separate oscillator panel
Disclaimer
This indicator is provided for educational and informational purposes only. It is not financial advice. Trading involves substantial risk of loss. Statistical deviation probabilities are based on a normal distribution assumption that financial markets do not satisfy. Past VWAP behavior does not predict future price action. The author accepts no responsibility for trading losses resulting from use of this indicator.
Made with passion by jackofalltrades
Indicator
Prismatic Depth [JOAT]Introduction
Prismatic Depth is an open-source multi-pillar institutional signal filter that scores bullish and bearish market pressure across nine independent analytical dimensions simultaneously. Rather than generating a signal from any single indicator, Prismatic Depth requires a weighted composite score above a configurable threshold, a minimum directional lead between bull and bear scores, and alignment of up to five optional confirmation gates — all at the same time.
The problem this solves is signal noise. Most indicators produce signals from a single input: a moving average crossover, an RSI threshold, a volume spike. Each of these fires constantly in all market conditions, including conditions where it has no historical edge. Prismatic Depth measures nine separate market properties and only produces a signal when a statistically unusual number of them agree simultaneously. The result is a lower-frequency, higher-context signal that reflects a broader institutional consensus rather than a single technical event.
Core Concepts
1. The Nine-Pillar Scoring Architecture
Each pillar measures a distinct market property independently. Pillar weights are user-configurable and sum to produce a maximum possible score of 100. The nine pillars are:
Structure: Detects higher-high / higher-low and lower-high / lower-low sequences using confirmed pivot highs and lows. A bullish structural sequence adds the Structure weight to the bull score.
Volume: Measures the slope of On-Balance Volume using linear regression over 20 bars. A rising OBV slope contributes to the bull score; falling contributes to bear.
Momentum: Blends three momentum inputs — Kaufman Adaptive Moving Average position, RSI relative to 50, and Williams Percent Range relative to midpoint. Each sub-component is weighted equally at one-third.
Liquidity: Detects swing-low sweeps — bars where price wicks below the last confirmed swing low and closes back above it. These represent stop-hunt events followed by institutional absorption.
Volatility: Evaluates whether the ATR-to-SMA(ATR) ratio falls within a productive range (0.8 to 1.6). Markets outside this range are either too compressed for trend signals or too expanded for reliable entries.
Session: Measures the current bar's position relative to the daily session midpoint. Bars in the lower half of the daily range carry a bullish session score; bars in the upper half carry a bearish score.
Higher Timeframe: Compares current close to a 50-period EMA on a user-selected higher timeframe via request.security() with lookahead disabled.
Delta Pressure: Tracks cumulative signed volume and detects when its moving average crossing direction aligns with price movement. A Pressure Score blending the volume delta ratio, volume rate, and bar body ratio is computed.
Fractal Efficiency: Computes the Fractal Efficiency Ratio — the ratio of the net directional price move to the total path length of individual bar changes. An FER above 0.60 in conjunction with ADX above 20 passes the efficiency gate.
// Fractal Efficiency Ratio
float ferNet = math.abs(close - close )
float ferPath = math.sum(math.abs(ta.change(close)), ferLen)
float ferVal = ferPath > 0.0 ? ferNet / ferPath : 0.0
2. Weighted Score Gating
The final bull and bear scores are compared against a minimum threshold (default: 70 of 100) and a minimum directional lead (default: bull must exceed bear by at least 20 points). Both conditions must hold simultaneously before a signal is considered.
bool longSignal = bull >= threshold and (bull - bear) >= scoreGap
and inSession and noiseGate and vwmaGate and stGate and ribbonGate
3. Optional Confirmation Gates
Five binary gates can be independently enabled or disabled: VWMA(200) price relationship, Supertrend direction, 8-line HMA ribbon direction, ADX minimum threshold (noise filter), and session time filter. Each gate is AND-logic — all enabled gates must pass before a signal fires.
4. Kaufman Adaptive Moving Average
The momentum pillar uses KAMA rather than a standard moving average. KAMA adjusts its smoothing constant based on the Efficiency Ratio of recent price movement, reacting quickly during trending phases and becoming nearly flat during choppy periods.
5. 8-Line HMA Gradient Ribbon
Visual context is provided by an 8-line Hull Moving Average ribbon (using every other increment for performance while retaining the full gradient effect). A normalization factor (ribbon spread divided by its 200-bar EMA, clamped to -1 to +1) drives a color gradient from the bear theme color to the bull theme color. The gradient reflects conviction intensity, not just direction.
6. Trade Block Visualization
When a signal fires, entry, stop, and up to four take-profit levels are plotted as horizontal lines and labeled at the right edge of the chart. Risk and reward zones are shown as translucent boxes. All drawn objects are updated every bar to extend rightward until closed.
Features
Nine-pillar weighted confluence scoring: Structure, Volume, Momentum, Liquidity, Volatility, Session, HTF Trend, Delta Pressure, and Fractal Efficiency each scored independently and summed
Configurable pillar weights: Each pillar's contribution to the total score is independently adjustable
Five optional binary gates: VWMA, Supertrend, HMA Ribbon, ADX noise filter, and session filter independently toggled
Threshold and directional lead gating: Score must exceed minimum AND directional lead must exceed gap before any signal fires
Extreme signal tier: Separate threshold for extreme confluence readings with distinct visual treatment
8-line HMA gradient ribbon: rFactor-normalized color gradient reflecting momentum spread intensity vs. its 200-bar historical average, with gradient fills between all adjacent ribbon lines
Gradient glow bar coloring: Glow color mode uses barcolor() to highlight signal bars in the bull or bear theme color; when disabled, falls back to RSI-intensity gradient bar coloring
Regime background tint: Subtle chart background tint on regime transitions, clearing after 10 bars
Four TP levels with live boxes and lines: TP1–TP4 plotted as gradient green lines and translucent boxes extending right in real time
Four stop modes: Supertrend, ATR cap, fixed percentage, pivot-based
Built-in backtest tracker: Win rate, expected value in R, and trade count
Four color themes: Phantom (cyan/magenta), Neon (teal/pink), Classic (green/red), Solar (orange/blue)
Institutional dashboard: 14-row table showing all nine pillar scores, signal state, and performance metrics
Non-repainting: All signals gated by barstate.isconfirmed; HTF request.security() uses lookahead=barmerge.lookahead_off
Input Parameters
Scoring Engine:
Min Score to Signal: Minimum composite score required (default: 70)
Extreme Score: Score for extreme tier (default: 90)
Min Directional Lead: Bull-bear gap required (default: 20)
Pillar Weights:
Individual weight sliders for each of the nine pillars (defaults sum toward 100)
Trend Gates:
VWMA Gate toggle and length (default: 200)
Supertrend Gate toggle, ATR length, multiplier
Ribbon Gate toggle, base length, step
ADX Noise Gate toggle and minimum ADX value
Signal Control:
Cooldown bars between signals (default: 5)
Session filter toggle and session string
Trade Levels:
Show Trade Block toggle
Stop mode: Supertrend / ATR Cap / Fixed % / Pivot
RR multiples for TP1, TP2, TP3, TP4 (defaults: 0.5, 1.0, 1.5, 2.0)
How to Use This Indicator
Step 1: Select a Theme and Configure Gate Sensitivity
Choose a color theme that suits your chart. Start with all five gates enabled and default weights. Observe signal frequency across several recent weeks of history.
Step 2: Interpret the Dashboard Score Rows
Each pillar row in the dashboard shows its current directional score in the stronger direction. A row colored in the bull theme means that pillar is contributing to bullish confluence. The Signal row shows the final output.
Step 3: Use Signals as Context, Not Directives
A signal fires when an unusual number of market dimensions agree. It does not predict how far price will move or guarantee a profitable outcome.
Step 4: Set Stop Mode Before Live Use
The Supertrend stop mode trails the stop with the Supertrend level. ATR Cap limits maximum stop distance. Fixed % uses a fixed percentage of price. Pivot uses the last confirmed structural pivot.
Step 5: Review Backtest Statistics Skeptically
The win rate and expected value displayed are calculated from signal history on the current chart only. They reflect past performance on historical data. Optimizing weights to maximize these numbers on a single chart produces overfitted results that will not generalize.
Indicator Limitations
Pivot-based pillars (Structure, Liquidity) confirm with a lookback offset — the structural event is labeled bars after it occurred. This is non-repainting behavior inherent to pivot detection
The Fractal Efficiency gate may delay signals following sharp, fast moves where path length temporarily normalizes
High pillar weights placed on a single pillar can effectively reduce this to a single-factor indicator. Weight distribution should be reasonably balanced
The session pillar score assumes intraday context. On daily and higher timeframes, it contributes a neutral fixed value
The backtest tracker embedded in this indicator does not account for slippage, commission, or partial fills. It is not a substitute for a properly configured strategy backtest
Enabling all gates simultaneously will produce very few signals. Tune gate selection to the market and timeframe being analyzed
Originality Statement
Prismatic Depth is original in its nine-pillar architecture and the specific combination of inputs it assembles. This publication is warranted because:
The Fractal Efficiency Ratio as a scoring pillar and gate condition — measuring the directional efficiency of price movement over a lookback, distinct from ADX — is not present in existing open-source Pine Script v6 publications as of this writing
Weighted pillar scoring where the user controls the relative contribution of each dimension, combined with both a score threshold and a directional lead gap as dual gatekeeping conditions, produces a more selective output than threshold-only systems
The Delta Pressure pillar — computing a composite of volume delta ratio, volume rate versus average, and candle body compression — is an original implementation distinct from standard OBV or CMF approaches
The combination of nine independently scored dimensions with five independently toggled binary confirmation gates in a single configurable framework, with a built-in per-signal performance tracker, is not replicated in existing open-source publications
Disclaimer
This indicator is provided for educational and informational purposes only. It does not constitute financial advice or a recommendation to buy or sell any financial instrument. Trading involves substantial risk of loss. Confluence readings are based on historical price data and do not guarantee any future market outcome. Past win rate statistics shown by the built-in tracker do not predict future performance. Always apply proper risk management. The author accepts no responsibility for trading losses resulting from the use of this indicator.
Made with passion by jackofalltrades
Indicator
Big Trades Indicator By Revan BlezinskyBig Trades Indicator v2 is a custom volume-based indicator designed to help traders identify unusual trading activity, large volume spikes, directional pressure, and potential liquidity clusters directly on the price chart.
The indicator compares current volume against the average volume and marks significant volume events with visual bubbles. The bigger the volume anomaly, the larger and more visible the bubble becomes.
Green bubbles represent estimated buy-side pressure, while red bubbles represent estimated sell-side pressure. Direction is estimated using candle behavior such as Close vs Open, Close vs Midpoint, or Close vs Previous Close.
This script also includes a momentum marker system. When multiple big trades appear in the same direction, the indicator displays a momentum marker to show repeated buying or selling pressure.
Another key feature is Liquidity Cluster Detection. When several large volume events happen within a narrow price range, the indicator highlights the area as a possible liquidity zone. These zones may act as potential support, resistance, accumulation, distribution, or breakout confirmation areas.
Key Features:
- Volume spike detection
- Extreme volume detection
- Buy and sell pressure estimation
- Optional ATR-based dynamic threshold
- Momentum marker for repeated directional pressure
- Liquidity cluster detection
- Smooth bubble opacity scaling
- Real-time information table
- Object management to reduce chart clutter
How to Read:
- Green bubble = estimated buy pressure
- Red bubble = estimated sell pressure
- Bigger bubble = stronger volume anomaly
- Cluster zone = multiple big trades around the same price area
- BUY MOM / SELL MOM = repeated big trades in the same direction
Recommended Usage:
This indicator is best used as a confirmation tool together with support and resistance, market structure, breakout analysis, price action, volume profile, and risk management.
Example:
A large green bubble near support may suggest aggressive buying or accumulation.
A large red bubble near resistance may suggest selling pressure or distribution.
A cluster near a breakout area may suggest strong market participation.
Important:
This indicator does not provide guaranteed buy or sell signals. Buy and sell pressure are estimated from candle behavior and volume, not from real order flow or exchange-level bid/ask data.
Large volume can indicate either continuation or exhaustion depending on market context. Always combine this indicator with proper analysis and risk management.
Suggested Settings for Stocks:
Volume MA Length: 20
Spike Threshold: 2.0
Extreme Threshold: 4.0
Dynamic Threshold: Off
Cluster Lookback: 30
Cluster Price Range: 0.3% - 0.5%
Suggested Settings for Crypto, Gold, or High Volatility Markets:
Volume MA Length: 20
Spike Threshold: 2.5
Extreme Threshold: 5.0
Dynamic Threshold: On
Cluster Lookback: 30 - 50
Cluster Price Range: 0.5% - 1.0%
Disclaimer:
This script is for educational and analytical purposes only. It is not financial advice. Always do your own research and use proper risk management before making any trading decision. Indicator
Wedge Polaris [JOAT]Wedge Polaris
Wedge Polaris is a multi-pattern auto-detector. It identifies five distinct converging-channel pattern families from zigzag pivots — Ascending Triangle, Descending Triangle, Symmetric Wedge, Rising Wedge, Falling Wedge — and on confirmed breakout projects a three-target ladder (Fibonacci times ATR times historical-duration blend). Pattern statistics, breakout probabilities, target hit / miss tracking, completed-pattern history, and a right-side bias gauge are all surfaced on the chart.
What makes it different
Most wedge / triangle indicators detect a single pattern type. This script classifies five families using slope analysis of the top and bottom channels.
Collinearity tolerance is adaptive. It scales with ATR percentile so the script is strict in low-volatility regimes (clean pivots) and forgiving in high-volatility regimes (noisier pivots) without being retuned.
Breakout probability is computed from the standard-normal CDF on the z-scored duration of the current pattern against a rolling history of completed patterns. Class-conditional bull / bear probabilities are blended with net-volume polarity inside the pattern.
A strong-break filter requires the breakout candle's body Z-score to exceed three AND its 25th or 75th body percentile to be on the correct side of the boundary. This distinguishes decisive expansion from noise probes.
A completed-pattern history strip tracks the last ten patterns with their outcomes (Target 1 hit, Stop hit, expired) so you can see the recent quality of the detector on the current instrument.
How it works
Zigzag pivots are tracked via standard ta.pivothigh and ta.pivotlow with parallel arrays.
Collinearity is tested between the two outer pivots and a middle pivot. Tolerance widens in high-volatility environments.
Two collinear lines (one for highs, one for lows) form a channel. Convergence, alignment, and inside-the-channel tests confirm a valid pattern.
Slope analysis classifies the pattern family.
On breakout confirmation, target lines are projected. T1 equals entry plus or minus 0.5 times width. T2 equals entry plus or minus 1.0 times width. T3 equals entry plus or minus (1.618 times width plus atr-z times ATR). SL is symmetric at width times the user SL multiplier.
Each completed pattern's duration and direction is appended to a 200-entry history buffer, which feeds the probability statistics.
Reading the chart
Pattern channels: two lines plus a linefill between them. Line style differentiates pattern type (solid for triangles, dashed for wedges, dotted for channels).
Completed-pattern ghost outlines fade for a user-configurable number of bars after the pattern ends.
A pattern stats label at the channel midpoint reads, for example: WEDGE 23 bars P(bull) 64% P(break) 78% ATR x.xx.
A three-target ladder on confirmed breakout: entry / SL / T1 / T2 / T3 horizontal lines plus price-only right-edge labels (no arrows, no shout text). Linefills shade the risk and reward zones.
Volume confluence: if breakout-bar volume exceeds 1.5 times the 20-bar SMA, target labels append VOL+.
A right-side bias gauge: 21-segment vertical band with a pointer.
Optional right-side breakout-probability gauge (separate from bias gauge).
A completed-pattern history strip above past pattern midpoints.
A strong-break flash: bgcolor pulse on the strong-break bar.
Signals
Pattern formed
Bullish / bearish breakout
Strong bullish / strong bearish breakout
Target 1 / Target 2 / Target 3 hit
Stop loss hit
All gated on barstate.isconfirmed or barstate.ishistory. No future references.
Inputs
Zigzag : zigzag length.
Collinearity : base tolerance (as a fraction of price).
Breakout : SL width multiplier, target line extension bars.
Visual : bullish / bearish colors, bias gauge, breakout probability gauge, pattern stats label, target ladder.
On-chart : completed-pattern history, ghost outlines extension bars, line-style differentiation.
Dashboard : position, size.
How traders use this
Pattern plus volume : a confirmed breakout with the VOL+ tag and a high P(bull) reading is a higher-probability continuation entry.
Mean-reversion fades : when a wedge's third or later touch happens at the convergence apex with low P(break), the pattern often fails to break. Fade trades inside the channel are possible.
R-multiple management : once target 1 prints, common practice is to move stops to breakeven and let the remainder run for T2 / T3. The target ladder makes this straightforward.
Pattern history : the strip lets you assess whether the detector is performing well on the current instrument and timeframe before sizing up new signals.
Limitations
Pivot detection inherits the right-bar delay of ta.pivothigh and ta.pivotlow. Patterns are confirmed only after the pivot-right-window passes.
Collinearity tolerance is a heuristic. Extremely volatile or extremely clean charts may need tuning of the base tolerance.
The class-conditional probability statistics need a minimum sample (five completed patterns) before they are meaningful.
Pattern recognition is fundamentally interpretive. Even confirmed patterns fail.
Compatibility
Pine Script v6 open-source indicator. Imports PulseWire/ta/12 for ta.atr2 (series-period ATR used in duration-adaptive target projection). Any symbol, any timeframe. No request.security calls.
Defaults
7-bar zigzag, 0.5 percent base collinearity tolerance, mint / red colors, top-right medium dashboard. For very fast charts shorten the zigzag length. For slow charts lengthen it and tighten the collinearity tolerance.
Indicator
Tidal Divergence [JOAT]Tidal Divergence
Tidal Divergence is a composite divergence detector that lives in a sub-pane and projects high-conviction divergence visuals onto the price chart. The composite blends three volume-based oscillators — Money Flow Index, percentile-ranked Cumulative Volume Delta, and z-scored OBV rate-of-change — into a single normalized stream. Both regular and hidden divergences are detected. Persistent zones are drawn at divergence pivots, and zone mitigation is tracked with body / wick / rejection modes.
What makes it different
Single-oscillator divergence indicators give a single perspective. Tidal Divergence's composite triangulates three independent volume-derived oscillators so a divergence in the composite is supported by three volume readings instead of one.
Hidden divergences (continuation pattern: price higher low plus oscillator lower low for bull) are detected separately from regular divergences (reversal pattern), with distinct line styles on the price chart.
Each detected divergence creates a persistent demand or supply zone with optional FVG-confluence gating, dynamic alpha-by-age (zones fade as they age), and explicit mitigation logic (body / wick / two-close rejection variants).
A composite percentile envelope (5th to 95th percentile of the last 200 bars) is drawn behind the oscillator so absolute readings are easy to interpret in context.
How it works
MFI(14), daily-reset CVD then ta.percentrank(cvd, 100), OBV ROC z-score over a 20-bar mean / stdev. Three legs, each normalized to roughly the same scale.
Composite equals 0.40 times the normalized MFI plus 0.35 times the normalized CVD percentile plus 0.25 times the clamped OBV ROC z. Hull-smoothed and scaled to centi-percent.
Pivots are detected on the composite stream. A regular bull divergence requires a price lower low paired with a composite higher low within a 5-to-60-bar window. Hidden bull requires a price higher low plus composite lower low. Bear variants invert the conditions.
At each divergence pivot, two horizontal lines are drawn (edge equals lowest wick / highest wick. base equals lowest body / highest body), with a linefill between them, on the price chart via force_overlay=true.
Zone mitigation: body mode (close beyond edge) or wick mode (high/low beyond edge), optionally with two-close rejection requirement.
Optional FVG confluence requires a recent 3-bar Fair Value Gap before firing the divergence-final alert.
Reading the chart
In-pane : composite line tinted by direction with a smoothed signal line, gradient ribbon between them, breath-modulated zero midline, plus and minus 70 overbought / oversold thresholds, and the percentile envelope as an atmospheric backdrop.
In-pane divergence markers : regular divergences as solid connector plots, hidden divergences as broken (dashed-equivalent) connectors.
Cross-pane : price-to-price divergence connector lines on the price chart (regular solid, hidden dashed). Each line has a small REG BULL DIV 4520.50 or HID BEAR DIV label at the current pivot.
Cross-pane zone fills with age-graded transparency.
Zone edge price labels follow the right edge of each active zone.
Mitigation flash labels print at the bar where a zone is broken.
A cross-pane composite tint paints a soft mint / red background when the composite is clearly above or below plus or minus 30.
Signals
Regular bullish / bearish divergence
Hidden bullish / bearish divergence (continuation)
Bull / bear zone touch
Bull / bear zone mitigated
Bull / bear stack (three or more active zones plus a fresh regular divergence)
Bull / bear streak (composite above / below zero for N consecutive bars)
All gated on barstate.isconfirmed or barstate.ishistory. No future references. No lookahead_on.
Inputs
MFI : MFI length.
Divergence : pivot lookback left / right, detect hidden divergences toggle.
Zones : zone extreme length, max zone age, mitigation mode, allow-rejection toggle.
FVG Confluence : require FVG, FVG lookback bars.
Visual : bullish / bearish colors.
Cross-pane Visuals : divergence lines, divergence labels, zone edge labels, composite tint.
Dashboard : position, size.
How traders use this
Reversal entries : a regular bull divergence with the composite leaving an oversold extreme is a high-quality long setup, especially when accompanied by an FVG below the divergence price.
Continuation entries : a hidden bull divergence during a clearly trending bull regime is a structurally supported add-on entry on a pullback.
Zone trades : after a divergence prints, treat its zone as an active demand or supply level. Reactions to the zone (touch with rejection candles) are tradable. Mitigation invalidates the level.
Composite filter : only trade with the composite in agreement (composite above 0 for longs). The cross-pane tint helps you stay aligned without checking the pane.
Limitations
Divergence detection inherently lags the actual extreme by the right-pivot window.
Composite values are smoothed and need warm-up bars before they stabilize.
Cumulative Volume Delta is a tick-volume proxy, not true level-2 order flow.
A divergence is a probability, not a guarantee. Many divergences fail before completing their implied reversal.
Compatibility
Pine Script v6 open-source indicator (pane plus cross-pane). Any symbol with volume data. Cross-pane elements use force_overlay=true. No request.security calls.
Defaults
14-bar MFI, 14-left / 5-right pivot, body mitigation, FVG confluence off by default, mint / red palette, top-right medium dashboard. Enable FVG confluence to filter for higher-quality setups.
Indicator
Sentinel Cascade [JOAT]Sentinel Cascade
Sentinel Cascade is a three-stage adaptive Supertrend overlay. Where a classic Supertrend uses one fixed-ATR band, this script chains three Supertrend stages on top of each other and modulates each stage's width with a different regime signal. Bands tighten when the market is trending cleanly and widen when volatility expands or behavior turns mean-reverting.
What makes it different
A standard Supertrend gives one binary direction state. Sentinel Cascade gives three nested direction states that act like a confluence stack. Alignment of all three is the highest-conviction read.
The ATR feeding the Supertrend is smoothed through a Kaufman Efficiency Ratio. Trend-efficient periods get a faster ATR response. Choppy periods get a slower response.
Stage 2's width scales with a volume Z-score. High-volume bars widen the band so transient noise is less likely to flip the stage.
Stage 3's width scales with a lightweight two-point Hurst estimator (R/S over short and long windows). Trending Hurst above 0.5 widens. Mean-reverting Hurst below 0.5 tightens.
A Sentinel pulse fires only when Stage 3 flips AND Stage 2 confirms the new direction within three bars. A coincidence filter for higher-quality regime shifts.
How it works
Compute a basis price as the midpoint of the recent highest high and lowest low.
Compute a KAMA-smoothed ATR from the basis.
Build Stage 1 as a Supertrend on the basis using the KAMA-ATR and the Stage 1 factor.
Build Stage 2 as a Supertrend on Stage 1's output, with its factor multiplied by a clamped volume-Z modulator.
Build Stage 3 as a Supertrend on Stage 2's output, with its factor multiplied by a clamped Hurst modulator.
Track the Sentinel pulse, the ATR-percentile regime (squeeze / normal / expansion), and a running count of intraday Stage 3 flips.
Reading the chart
Three stacked trend lines. Stage 1 thickest, Stage 3 thinnest. Colors flip between bull and bear on direction changes.
A gradient ribbon between Stage 1 (or Stage 2 by user choice) and Stage 3 brightens when the stack is spread, fades when it converges.
An optional iridescent candle recolor scales tint with distance from Stage 3.
A horizontal sight-line projects Stage 3's current level back into history so past respect or rejection at that level is visible.
Persistent flip markers record each Stage 3 flip and retroactively append an OK or FAIL tag after a user-defined persistence window.
A right-edge state block summarizes alignment of all three stages plus the ATR squeeze and expansion read.
Signals
Stage 3 bull / bear shift (any flip)
Cascade alignment (all three stages agree)
Stage 2 retest / bounce inside an active trend
ATR squeeze and expansion entry (percentile-based)
All signals are gated on barstate.isconfirmed or barstate.ishistory. No future-bar referencing. No lookahead_on.
Inputs
Cascade : range basis length, ATR period, KAMA efficiency length, Stage 1 / 2 / 3 factors.
Regime : volume-Z lookback, Hurst short / long windows.
Visual : bullish color, bearish color, toggles for ribbon, sentinel pulse, iridescent candles, bounce markers, ribbon anchor.
On-chart : stage value labels, flip timeline labels, squeeze background tint, Stage 3 cloud, sight-line, state block, daily flip counter.
Dashboard : position, size, watermark row.
How traders use this
Trend continuation : take in the direction of Stage 3 when price retests Stage 2 from the trending side.
High-conviction entries : wait for cascade alignment (all three stages agree) before sizing up.
Mean-reversion fades : when Hurst is clearly below 0.5 and a Stage 3 flip prints near recent extremes, the new trend is statistically less likely to persist.
Volatility context : ATR percentile regime tells you whether the move is happening in a compressed, normal, or extended volatility environment. Sizing should account for that.
Limitations
The two-point Hurst estimator is a fast approximation, not the full rescaled-range statistic. It is monotonically meaningful but is not a precise persistence coefficient.
Like every Supertrend variant, this is a trend-following construct. It is best on instruments with clear directional regimes and worst in extended choppy ranges.
Pivots and percentile-based regime classifications need warm-up bars before their values stabilize.
Past behavior is not a guarantee of future behavior. No indicator can remove market uncertainty.
Compatibility
Pine Script v6, single-file open-source indicator. Works on any symbol and any timeframe. Uses no request.security calls. Non-repainting beyond the normal Supertrend right-bar reactivity inherent to band ratchet logic.
Defaults
Mint bullish color, red bearish color, top-right medium dashboard, all on-chart visualizations on. Open the inputs panel to tune for your instrument or to declutter for screenshots.
Indicator
Quantum Flux Bands [JOAT]Quantum Flux Bands
Quantum Flux Bands is an institutional-style regime detector. It stationarizes the price series via Fixed-Window Fractional Differentiation (FFD), runs a classical CUSUM change-point test on the stationarized stream, and draws a baseline that snaps to a new price level on every confirmed regime shift. Around the baseline, three percentile envelopes (50%, 68%, 90%) are drawn and modulated by a windowed Shannon entropy estimator so the bands narrow in low-noise regimes and widen in high-noise regimes.
What makes it different
Most regime filters hard-code a differentiation order (typically the first difference). FFD takes a real-valued differentiation order d between 0 and 1, retaining long-memory while making the series statistically stationary. This script chooses d adaptively from a rolling Hurst estimate so it responds to the market's persistence regime instead of being a fixed magic number.
The CUSUM trigger is fed by FFD-stationarized values, not raw returns. This reduces baseline whipsaws in trending markets that violate stationarity assumptions of classical CUSUM.
The bands are entropy-weighted. When the local windowed Shannon entropy is high (low signal-to-noise) the bands expand. When entropy is low (clean regime) they contract. The bands lock at the moment of a confirmed regime shift so they describe the regime under which the baseline was established.
How it works
A two-point Hurst estimator (rescaled-range over short and long windows) drives an adaptive differentiation order d in the range 0.30 to 0.90.
FFD weights are recomputed only when d drifts by more than 0.05 from its cached value. Caching keeps per-bar work near zero.
FFD weights are applied to a sliding window of close prices to produce a stationarized series.
Classical CUSUM tracks cumulative positive and negative deviations of the stationarized series from a running baseline reference, with user-configurable drift and threshold parameters.
When CUSUM exceeds the threshold, the baseline snaps to the current close and the trend state is set to bull or bear.
Inner, mid, and outer envelopes are drawn from percentile_linear_interpolation of the absolute distance between close and baseline, multiplied by an entropy modulator.
A bull probability is computed from the Abramowitz and Stegun standard-normal CDF on the signed band-distance and surfaced as a numeric label.
Reading the chart
Baseline line tinted purple in bull regimes, cyan in bear regimes, muted in neutral.
Six percentile band lines (upper and lower inner, mid, outer) with three pairs of atmospheric gradient fills calibrated so candles remain readable through every layer.
Optional iridescent candle recolor scales tint by signed regime score.
A probability label at the right edge of the chart shows the live bull probability.
Seven right-edge price labels, one per envelope level plus baseline, each sit at their own price.
Regime-shift timeline labels record every confirmed regime change with its baseline price and bull probability at the time of the shift.
A 21-segment vertical strength gauge at the right edge maps the continuous regime strength score onto a bull / bear / neutral scale, with a dashed sight-line drawing the gauge level back into the chart.
A short forward probability cone: two dashed segments at outer band levels with opacity scaled by class probability.
Signals
Bull / bear regime entry (CUSUM trigger with direction)
Outer band touch
Outer band rejection (wick pierces the outer band but the body closes back inside)
Baseline reclaim (close re-crosses the baseline)
All gated on barstate.isconfirmed or barstate.ishistory. No future references. No lookahead_on.
Inputs
Fractional Differentiation : FFD window length.
CUSUM : volatility period, drift parameter, threshold parameter.
Regime : Hurst short / long lookbacks, entropy window / bins / z-score length.
Bands : percentile lookback.
Visual : bullish, bearish, quantum purple, quantum cyan colors. Band visibility toggles. Iridescent candles. Regime pulse. Probability label.
Labels : right-edge level labels, regime timeline (offset off candle wicks by ATR), baseline reclaim markers (direction-sensitive Y offset, configurable minimum-bar spacing), band touch and rejection labels (configurable minimum-bar spacing per type), strength gauge, sight-line needle, probability cone, FFD memory label, entropy state strip.
Dashboard : position, size.
How traders use this
Mean-reversion fades from outer-band touches inside a stable regime (Hurst mean-reverting, low entropy z) are statistically supported setups.
Regime-shift entries : when the baseline snaps and the trend turns, the first inner-band retest is a higher-quality continuation entry than chasing the breakout bar.
Probability filter : use the bull probability label as a confidence multiplier for other systems. Below 30% or above 70% are the actionable zones.
Entropy context : high entropy z (band-multiplier expanded) is a low conviction, wider stops warning. Low entropy z (bands tight) is a high conviction, tighter stops green light.
Limitations
Fractional differentiation is a smoothing and filtering tool. It cannot create information that is not already in the price series.
CUSUM, like any change-point detector, lags real-time tops and bottoms. It is calibrated to balance whipsaw against responsiveness.
The two-point Hurst estimator is a fast approximation. For long-horizon classification it agrees with the full R/S statistic. For very short windows it is noisier.
Past regime persistence does not guarantee future regime persistence.
Compatibility
Pine Script v6 open-source indicator. Any symbol, any timeframe (longer timeframes give the FFD window more meaningful history). No external request.security calls. Non-repainting: regime shifts are committed on confirmed bars and baseline values are not retroactively rewritten.
Defaults
Mint and red bullish / bearish defaults. Purple and cyan quantum accents. Top-right medium dashboard. All on-chart visualizations on. Increase the FFD window for very high timeframes (daily and above) and decrease the percentile lookback for fast intraday charts.
Credits
Fractional differentiation methodology popularized by López de Prado, Advances in Financial Machine Learning (2018).
CUSUM change-point test as published by E. S. Page, Biometrika (1954).
Standard-normal CDF approximation per Abramowitz and Stegun (1964).
Indicator
Indicator
Position Architect [JOAT]Position Architect
Position Architect is an auto-triggered trade-plan visualizer. It consumes a signal source (any plot of another indicator, or a fallback SMA-cross), arms a trade with ATR-scaled stop loss and three risk-reward-scaled targets, and tracks the trade live with breakeven slide, R-multiple lines, MFE / MAE tracking, multi-currency PnL, position sizing, required margin, Kelly sizing suggestion, and a trade-history strip.
What makes it different
Most trade-planner indicators are manual: the user clicks entry, stop, and target. Position Architect is auto-triggered via input.source, so it plans trades from external signal feeds (other JOAT indicators or any compatible script).
Four trigger modes: Manual toggle, Source-above-SMA, Source-cross-above-SMA, Source-cross-below-SMA. These cover bias, breakout, and counter-trend logics.
A three-target ladder (not just one or two) with intermediate R-multiple lines (0.5R, 1R, 1.5R, 2R, 2.5R, 3R) drawn between entry and Target 3 so you see partial-take levels at a glance.
Live R-multiple, MFE, MAE displayed next to the trade in real time. After the trade closes, those values are baked into a persistent history label.
Kelly sizing suggestion based on an assumed win rate and the current risk-reward, capped at 25% to avoid pathological recommendations.
How it works
The signal source is the user-selected input.source. The trigger rule (one of four modes) determines when a long or short is armed.
On arm: entry equals the current close. SL equals low minus ATR(14) times slMult for longs (or symmetric for shorts). Three targets at entry plus or minus risk times tp1Mult / tp2Mult / tp3Mult.
Lifecycle gates on bar_index greater than tradeBar so the arm bar itself cannot also register hits (preventing spurious instant fills).
Each subsequent bar: check for TP1, TP2, TP3 hits in order, plus stop-loss. TP3 takes precedence over SL on same-bar pierces. If TP1 hits and breakeven is enabled, the stop slides to entry.
Position sizing: pos_size equals (capital times riskPct / 100) divided by (sl_pct / 100). Required margin equals pos_size divided by leverage.
Kelly suggestion: f-star equals winRate minus (1 minus winRate) divided by RR, clamped to 25% max.
Reading the chart
Five horizontal price lines: entry (blue), SL (red), TP1 / TP2 / TP3 (green shades), each width 3 to 5.
Five price-only labels at the right edge with R-multiples and percentages.
Two linefills: a translucent red risk zone between entry and SL, a translucent green reward zone between entry and TP3.
bgcolor tint while a trade is open.
A 1-bar bgcolor pulse on TP / SL / breakeven events.
A live R+0.8 MFE+1.5 MAE-0.3 label updating each bar near current price.
Bars-in-trade counter near the entry.
Trade-history strip above past entries with W/L outcomes and R-multiples.
R-multiple intermediate lines with right-edge labels.
A daily trade count plus win-rate summary.
A comprehensive dashboard with capital, risk, leverage, R:R, Kelly, position size, required margin, direction, entry, current price, live PnL, status (OPEN / WIN / LOSS), bars in trade.
Signals
Trade activated long / short
Target 1 / 2 / 3 hit
Stop loss hit
Breakeven slid
All gated on barstate.isconfirmed or barstate.ishistory. No future references.
Inputs
Signal : signal source, trigger mode, signal SMA length, manual long / short toggles.
Targets : SL ATR multiplier, TP1 / TP2 / TP3 risk multipliers, breakeven toggle, line extension bars.
Capital : capital amount, risk percent, leverage, currency code.
Kelly : assumed win rate.
Visual : bullish / bearish colors, entry line color, SL line color, TP line color, R-multiple lines toggle, history strip toggle.
Dashboard : position, size.
How traders use this
Discretionary planning : switch to Manual mode and toggle manualLong / manualShort to drop a complete plan at the current price, with ATR-aware stops and risk-aware sizing.
Signal integration : connect Position Architect's signal source to another JOAT indicator's plot output (for example the composite of Iridescent Helix or the Stage-3 line of Sentinel Cascade) and let it auto-arm trades.
Risk audit : the dashboard's R:R, position size, required margin, and Kelly suggestion are an instant pre-trade audit. You can compare across instruments.
Performance review : the trade-history strip lets you scroll back through recent trades on the chart and see R-multiples without needing a separate journal.
Limitations
Kelly sizing assumes a stable win-rate-and-R distribution. Real performance varies. The suggestion is a calibration reference, not a recommendation.
Position sizing is in price units. For futures or forex contracts the user must convert to contract count manually.
The signal source must be a series compatible with input.source. If the connected indicator does not expose a useful plot, the trigger logic falls back to close.
Trade lifecycle assumes one open position at a time. No pyramiding inside this script.
Compatibility
Pine Script v6 open-source indicator (overlay). Any symbol, any timeframe. ASCII currency codes (no Unicode glyphs) for cross-platform display. No request.security calls.
Defaults
SL ATR multiplier 1.5, targets at 1R / 2R / 3.5R, breakeven on after TP1, mint / red palette, ten-thousand-dollar capital with one percent risk and one times leverage, top-right medium dashboard.
Indicator
Polaris VWAP Mesh [JOAT]Polaris VWAP Mesh
Polaris VWAP Mesh tracks four anchored VWAPs simultaneously — Session, Swing-High pivot, Swing-Low pivot, and Previous-Day-Open — and detects pairwise confluence whenever two or more of them are within an ATR-scaled proximity of each other. Each VWAP carries a plus-or-minus 1-sigma deviation band. Confluence zones become full-chart-width persistent bands. A multi-anchor bias score counts how many VWAPs price is currently above.
What makes it different
Most VWAP scripts plot a single anchor (session or daily). Polaris simultaneously runs four independent anchored-VWAP engines and surfaces their interactions as confluence zones.
Confluence detection uses an ATR-scaled proximity threshold rather than a fixed percentage, so it adapts to the instrument's volatility automatically.
A multi-anchor bias counter aggregates the four VWAPs into a single 0-to-4 score. Full-chart-width tints apply when three or more VWAPs are above (or below) the close.
Swing-anchored VWAPs reset at confirmed pivot points and start fresh from the moment of pivot confirmation (forward-only, non-repainting). The Previous-Day-Open VWAP is anchored to the open of the prior daily bar so it captures yesterday's reference.
A pairwise distance matrix is displayed in plain text at the right edge — six pair distances, with the two tightest pairs highlighted.
How it works
An anchored VWAP function maintains three cumulators per anchor — price-times-volume, volume, and price-squared-times-volume — to deliver both the VWAP and its rolling standard deviation since the anchor.
Anchor reset conditions: Session start of the user-defined session window. Swing-High on confirmed ta.pivothigh. Swing-Low on confirmed ta.pivotlow. Previous-Day-Open on ta.change(time("D")), capturing the open of the new day, then locking after a day passes.
Pairwise distance check: for each of the six possible pairs, if the absolute distance between VWAPs is less than proximityThreshATR times ATR(14), an active confluence is flagged. The mid-price between the two VWAPs becomes the confluence level.
Multi-anchor bias counts how many of the four VWAPs the close is above.
Reading the chart
Four VWAP lines, each in its own color (session blue, swing-high red, swing-low mint, prev-day-open purple, all user-configurable).
Plus-or-minus 1-sigma deviation band shading per VWAP.
Full-chart-width confluence zones (persistent bordered boxes) at each active confluence level, with right-edge labels naming the contributing pair.
Anchor reset markers: small vertical lines per anchor at the bar of reset (capped at 20 per anchor type).
A multi-anchor bull / bear bgcolor tint (very faint) when three or more VWAPs are on one side of the close.
Iridescent candle recolor by bull-count.
Right-edge VWAP labels with plus-or-minus sigma deviation tags.
Pairwise distance matrix label cluster.
Anchor-age label cluster.
Bias-flip timeline labels and VWAP-cross event labels.
Signals
Bull / bear VWAP cross (any anchor)
Session VWAP bull / bear cross (dedicated alerts)
Previous-Day-Open VWAP bull / bear cross (dedicated alerts)
Confluence touch (price entered an active confluence zone)
Multi-anchor bull / bear bias activation
All gated on barstate.isconfirmed or barstate.ishistory. No future references.
Inputs
Anchors : session window string, swing pivot length.
Bands : standard deviation multiplier, band shading toggle.
Confluence : proximity threshold in ATR units, confluence zones toggle.
Visuals : bullish / bearish colors, per-anchor color overrides, per-anchor visibility toggles, candles, labels.
Dashboard : position, size.
How traders use this
Confluence trading : confluence zones are price magnets. Reactions to them (touches with rejections) are tradable. Clean breaks through with volume can be trend signals.
Multi-anchor bias : when three or four of the four VWAPs are on the same side of price, the trend is well supported across multiple anchors. Counter-trend trades in this regime are lower probability.
VWAP rotation : the previous-day-open VWAP is a frequently respected institutional reference. Crosses of it often coincide with bias shifts.
Plus-or-minus 1-sigma bands : extensions to plus-or-minus 1 sigma from a fast-moving anchor often coincide with short-term mean-reversion zones.
Limitations
Swing-anchored VWAPs begin tracking only after pivot confirmation, so they lack history before that pivot was confirmed. This is by design (non-repainting), not a bug.
The session VWAP requires the user to set a session window matching the instrument's primary trading window.
The pairwise confluence test is O(1) per bar (six pairs). Confluence zones extend across the chart and use persistent box objects. They are capped at six active zones (the maximum number of pair combinations).
Confluence is a price-coincidence test, not a flow-direction test. Use other tools to gauge directional bias once confluence is identified.
Compatibility
Pine Script v6 open-source indicator (overlay). Any symbol with volume data. Designed for sessions in America/New_York by default. Change the session window for other markets. No request.security calls.
Defaults
0930-1600 EST session window, 10-bar pivot length, 0.5x ATR proximity threshold, mint / red brand colors plus blue / red / mint / purple anchor accents, top-right medium dashboard.
Indicator
Iridescent Helix [JOAT]Iridescent Helix
Iridescent Helix is a composite momentum oscillator that lives in a sub-pane and projects cross-pane visuals onto the price chart. The composite blends three orthogonal momentum legs into a single normalized score in the range -100 to +100. Above the math, it adds a layered iridescent ribbon, a breath-opacity histogram, gradient overbought / oversold zones, cross-pane iridescent candle recoloring, and an in-pane pivot divergence engine.
What makes it different
The composite blends three independent momentum lenses: a volume-weighted-median price distance, a Connors-style triple RSI, and a clamped volume Z-score. Smoothed with a Hull Moving Average to reduce phase lag while preserving sensitivity.
The visual stack uses seven plot layers per direction, hue-rotated through the bull or bear accent gradient, each layer at a different transparency and linewidth, producing a depth effect that single-color ribbons cannot match.
A breath-opacity histogram fades columns when momentum is decelerating and brightens them when momentum is accelerating, giving an at-a-glance read of momentum derivative.
An in-pane pivot divergence engine detects regular and hidden divergences and projects both as in-pane markers and as price-to-price connector lines on the price chart.
How it works
Volume-weighted median over a rolling window. Sort close prices ascending, accumulate volumes in that order. The price at which cumulative volume crosses half of total volume is the weighted median.
Composite equals 0.50 times the normalized distance from the volume-weighted median, plus 0.35 times the normalized Connors RSI, plus 0.15 times the clamped volume Z.
Hull-smoothed and scaled to centi-percent, clamped to the range -100 to +100. EMA(21) signal line drawn alongside.
Pivot divergence detection compares price pivots against composite pivots, gated to a 5-to-60-bar window between successive pivots.
Right-edge labels in the pane (composite, signal, volume Z) and on the price chart (cross-pane regime status).
Reading the chart
In-pane : seven-layer iridescent ribbon, breath-opacity histogram, volume-modulated zero line, overbought / oversold guide lines with gradient fills when the composite breaches them, composite-to-signal ribbon fill.
Cross-pane : iridescent candle recolor on price, divergence connector lines between price pivots, subtle reversal dots at extreme reversal closes, soft regime tint background when the composite is clearly above or below zero.
Right-edge label cluster : the pane shows current composite (with percentile rank), signal line, and volume Z. The price chart shows a single IRH summary label with composite value, percentile, and regime tag.
A right-edge state block lists current regime, zone (overbought, oversold, neutral), and bars since the last zero cross.
Signals
Bull / bear zero cross (composite re-crosses zero)
Overbought / oversold reversal (composite crosses back from an extreme)
Volume surge (volume Z above two)
Momentum acceleration / deceleration above a user-tunable threshold
Regular and hidden divergence detection (bull / bear pairs)
All gated on barstate.isconfirmed or barstate.ishistory. No future references. No lookahead_on.
Inputs
Composite : VW median length, volume Z length, overbought / oversold levels, divergence lookback, percentile envelope length.
Visual : bullish / bearish / accent / magenta colors, toggles for ribbon, histogram, iridescent candles, cross-pane reversal dots, divergence dots, percentile envelope, cross-pane regime tint.
Labels : pane right-edge cluster, pane state block, cross-pane IRH label, divergence lines, divergence labels, OB/OS event labels, zero-cross events, acceleration events.
Dashboard : position, size.
Alerts : acceleration magnitude threshold.
How traders use this
Trend continuation : open positions in the direction of the composite when it crosses zero from the appropriate side and the volume Z confirms.
Reversion plays : take fades when the composite reaches an extreme zone and momentum begins decelerating (histogram fades), particularly when supported by a regular divergence connector on the price chart.
Hidden divergence : in a clear trend, a hidden divergence is a continuation signal and can be used to add to existing positions on a pullback.
Cross-system confirmation : feed the composite into other JOAT scripts (for example Position Architect) as a signal source by connecting plots in the chart UI.
Limitations
The composite is a normalized smoothed reading, not a leading indicator. It quantifies present momentum strength and direction rather than predicting future direction.
Connors RSI and volume Z need warm-up bars before they stabilize.
Pivot divergence detection inherits the right-bar delay of pivot identification (the pivot is only confirmed several bars after the actual extreme).
HMA smoothing introduces a few bars of warm-up where the composite is unavailable.
Compatibility
Pine Script v6 open-source indicator (pane). Any symbol, any timeframe. Cross-pane elements use force_overlay=true. No request.security calls. Non-repainting (divergence pivots are confirmed-bar gated).
Defaults
Mint and red defaults, plus cyan (bull accent) and magenta (bear accent) hue-rotation targets. Top-right medium dashboard. All visualizations on. For fast intraday work, shorten the VW median length and the divergence lookback.
Indicator
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).
Indicator
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.
Indicator
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.
Indicator
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
Indicator
