Nocturne Auction Atlas [JOAT]Nocturne Auction Atlas
Introduction
Nocturne Auction Atlas is an open-source auction-mapping indicator that studies session VWAP, developing volume distribution, value areas, imbalance shelves, estimated CVD, divergence, and auction quality. It is designed to show where price is accepting value, rejecting value, or interacting with unfinished auction references.
Core Concepts
1. Session Auction Framework
The script resets during a new session and tracks session high, low, VWAP, and developing volume distribution.
2. Developing Volume Profile
Price is divided into rows. Each row accumulates estimated volume to identify the point of control, value area high, and value area low.
3. Estimated CVD
CVD is estimated from candle body position, close location, and volume. This is not exchange-level bid/ask data, but it provides a consistent pressure proxy.
4. Divergence Detection
Pivot-confirmed price swings are compared against estimated CVD swings to identify bullish or bearish divergence.
5. Imbalance Shelves
Rows with strong buy or sell imbalance are marked as auction shelves. These shelves can help identify areas where pressure was concentrated.
Features
Session VWAP and bands: Tracks intraday auction center and deviations
Developing profile: Builds POC and value area from recent session data
Imbalance shelves: Highlights rows with strong bid or ask imbalance
Estimated CVD: Uses candle-derived volume pressure
Divergence logic: Pivot-confirmed CVD divergence events
Naked POC memory: Tracks unfinished prior auction references
Dashboard: Shows auction state, quality, delta, POC, value area, and shelf state
Input Parameters
Session Bars Used controls how many bars feed the profile
Profile Rows controls profile granularity
Value Area controls the percentage of volume included in value
Quality Gate controls signal sensitivity
Shelf Gate controls imbalance shelf detection
How to Use This Indicator
Step 1: Read auction location
Use VWAP, POC, VAH, and VAL to understand whether price is trading near value or outside value.
Step 2: Watch shelves
Imbalance shelves identify price rows where estimated pressure was concentrated.
Step 3: Interpret divergences carefully
Divergence requires confirmed pivots and is naturally delayed. It is context, not a prediction.
Indicator Limitations
Profile calculations are approximations based on chart bars
CVD is estimated from candles and volume, not true bid/ask transactions
Pivot divergence confirms after pivot bars have passed
High row counts and long sessions can increase script workload
Originality Statement
Nocturne Auction Atlas combines session VWAP, developing profile rows, imbalance shelves, estimated CVD, divergence, and unfinished auction references into one chart framework. The components are designed to explain auction state rather than simply plot volume levels.
Disclaimer
This indicator is provided for educational and informational purposes only. It is not financial advice. Auction references can fail, and volume approximations can differ from real order-flow data.
-Made with passion by jackofalltrades
Indicator
Kairo Pressure Reversal [JOAT]Kairo Pressure Reversal
Introduction
Kairo Pressure Reversal is an open-source pressure-tensor study that maps how candle structure, volume, volatility stress, entropy, and pressure curvature interact. It is not a conventional POC or value-area script. Its purpose is to identify pressure shocks, curvature reversions, and compression states as market-context events.
Core Concepts
1. Pressure Atom
Each candle is converted into a signed pressure value using close location, body direction, wick balance, and volume.
pressureAtom = (signedRange * 0.42 + bodyImpulse * 0.42 + wickBalance * 0.16) * volume
2. Pressure Tensor
The pressure atom is normalized by recent absolute pressure and smoothed. This produces the main pressure tensor used throughout the indicator.
3. Curvature and Jerk
The script calculates pressure velocity, curvature, and jerk. These values show how quickly pressure is changing rather than simply whether pressure is positive or negative.
4. Entropy
Bid and ask energy are converted into an entropy score. Higher entropy means pressure is more balanced. Lower entropy means one side is more dominant.
5. Stress Bands
ATR and pressure stress expand or contract the tensor bands. Events occur when price and pressure move into stressed areas with sufficient curvature.
Features
Pressure tensor: Normalized pressure model derived from candle structure and volume
Curvature analysis: Tracks pressure velocity, curvature, and jerk
Entropy score: Measures bid/ask balance
Volatility stress rank: Uses ATR and range ranking to identify stressed conditions
Shock cells: Compact boxes mark bid shocks, ask shocks, and reversion events
Tensor bands: Adaptive bands visualize pressure expansion and stress
Dashboard: Shows tensor, stress, entropy, curvature, jerk, and current event state
Input Parameters
Tensor memory controls pressure normalization
Entropy memory controls bid/ask energy balance
Stress rank memory controls volatility ranking
Shock gate controls event sensitivity
Reversion gate controls curvature reversion sensitivity
How to Use This Indicator
Step 1: Read the tensor direction
Positive tensor values indicate bid-side pressure; negative values indicate ask-side pressure.
Step 2: Watch stress and entropy
High stress with low entropy suggests one-sided pressure. High entropy suggests balance or compression.
Step 3: Treat cells as context
Shock and reversion cells mark pressure events. They are not standalone trade recommendations.
Indicator Limitations
Volume-based pressure is an approximation from chart candles, not true order flow
Curvature events can occur during volatility spikes that do not continue
The indicator provides context, not certain reversal points
Originality Statement
Kairo Pressure Reversal is original in its combined use of candle-derived pressure, entropy, curvature, jerk, volatility stress, and compact event cells. It focuses on pressure behavior rather than standard oscillator thresholds.
Disclaimer
This indicator is provided for educational and informational purposes only. It is not financial advice. Pressure events can fail or persist longer than expected. Always use independent analysis and proper risk management.
-Made with passion by jackofalltrades
Indicator
Caldera Meridian Strategy [JOAT]Caldera Meridian Strategy
Introduction
Caldera Meridian Strategy is an open-source Pine Script v6 strategy that combines trend regime, pressure, structure, auction location, and transition probability into a single rules-based execution model. The strategy is designed to be transparent: each decision component is calculated directly inside the script, and entries are processed on confirmed bars.
This strategy is not intended to prove future profitability. It is a research framework for studying how multiple market-context filters interact with ATR-based risk and staged exits.
Core Concepts
1. Regime Filter
The strategy uses fast, mid, and slow EMAs to classify bullish, bearish, or neutral trend conditions. A confirmed higher-timeframe EMA can also be used as a directional filter.
trendBull = fast > mid and mid > slow and close > mid
trendBear = fast < mid and mid < slow and close < mid
2. Transition Probability
A simple rolling transition model estimates whether the current regime has recently persisted. This is used as a filter rather than a prediction.
3. Pressure and Auction Location
The strategy estimates bid/ask pressure from candle body position, range, and volume. It also tracks VWAP-style weighted price and value deviation bands to avoid entries in poor auction locations.
4. Structure Confirmation
Confirmed pivots are used to detect delayed structure breaks, sweeps, and displacement events. Pivot confirmation is non-repainting but naturally delayed.
5. ATR-Based Risk Management
Entries use ATR or structure-based stops. Exits are staged across TP1, TP2, and TP3 using configurable R multiples.
Features
Rules-based long and short logic: Combines trend, pressure, structure, auction, and probability filters
Confirmed-bar execution: Entry and risk-off logic uses closed-bar conditions
ATR and structure stops: Stops use volatility and recent structure references
Three staged exits: TP1, TP2, and TP3 use configurable R multiples and quantity percentages
Realistic default costs: Commission is set to 0.05% and slippage to 1 tick in the strategy declaration
Dashboard: Shows position state, scores, regime, continuation, pressure, auction, and risk-off status
Default Strategy Properties
Initial capital: 100,000
Commission: 0.05 percent
Slippage: 1 tick
Pyramiding: 0
Orders processed on close
How to Use This Strategy
Step 1: Use a clean chart
For publication and testing, use a standard chart type and avoid adding unrelated scripts to the chart.
Step 2: Review the dashboard
The dashboard explains why the strategy is flat, long, short, or in a risk-off state.
Step 3: Evaluate across markets
Do not judge a strategy from a small sample. Test across multiple symbols, timeframes, and market regimes.
Strategy Limitations
Backtest results do not imply future results
Pivot-based structure is confirmed only after the pivot length has passed
Costs and slippage may differ from live trading conditions
The model can underperform in choppy markets where filters repeatedly conflict
The strategy is a research framework and not a complete trading plan
Originality Statement
Caldera Meridian Strategy integrates multiple independent modules rather than relying on a single crossover or oscillator. Its usefulness comes from studying how regime, structure, pressure, auction location, and transition persistence interact before a trade is allowed.
Disclaimer
This strategy is provided for educational and informational purposes only. It is not financial advice. Trading involves risk of loss. Backtests are historical simulations and do not predict future performance. Always use proper risk management.
-Made with passion by jackofalltrades
Strategy
Vanta Delta Cartography [JOAT]Vanta Delta Cartography
Introduction
Vanta Delta Cartography is an open-source liquidity and auction-mapping indicator. It combines session VWAP bands, a developing volume profile, POC/value-area/VWMP references, estimated CVD impulse, pivot-confirmed divergence, absorption scoring, naked POC memory, and compact execution plans.
The goal is to show where the active session is accepting value, where pressure is imbalanced, and where a confirmed bid-side or ask-side plan appears.
Core Concepts
1. Manual Session VWAP
The script calculates session VWAP from cumulative price-volume and volume during the configured active session. Weighted deviation bands create inner and outer auction zones around VWAP.
2. Developing Volume Profile
The active range is divided into rows. The script estimates total volume, buy pressure, and sell pressure inside each row, then derives POC, value area high, value area low, VWMP, and imbalance shelves.
3. Estimated CVD Impulse
CVD is estimated from candle-derived delta. Fast and slow CVD lines create impulse context, while pivot-confirmed divergence identifies disagreement between price and participation.
4. Naked POC Memory
Prior session POC levels can be stored until price revisits them. This gives the chart a memory of unfinished auction references.
5. Auction Quality Gate
Long and short plans require location, delta, quality score, and a supporting event such as POC reclaim, value-area reaction, divergence, or shelf pressure.
Features
Session VWAP with deviation bands: Shows the active auction mean and volatility envelope.
Developing profile: Tracks POC, VAH, VAL, VWMP, and row pressure.
Right-side heatmap: Displays volume and pressure intensity by price row.
Imbalance shelves: Highlights areas where buy or sell pressure dominates.
Estimated CVD impulse: Measures participation direction from candle and volume data.
Pivot-confirmed divergence: Marks bullish or bearish CVD disagreement.
Naked POC memory: Stores prior POC references until revisited.
Execution plans: Draws compact entry, stop, TP1, and TP2 zones for confirmed absorption states.
Candle coloring: Bars can reflect liquidity pressure.
Dashboard and alerts: Includes auction state, POC, value area, VWAP, CVD impulse, divergence, naked POC, and session state.
Input Parameters
Core and Bands: Active Session, Session Bars Used, Profile Rows, Value Area, Show VWAP Bands, Inner Sigma, Outer Sigma.
Signals and Risk: Signal Zones, Pivot Left, Pivot Right, Delta Impulse Threshold, Auction Quality Gate, Signal Projection Bars, Signal Cooldown Bars, ATR Stop, ATR Target.
Visuals: Right Profile Heatmap, POC / VA / VWMP Lines, Naked POC Line, Session Auction Frame, Right Imbalance Shelves, Liquidity Candle Color, Dashboard.
How to Use This Indicator
Step 1: Read the session auction
Use VWAP, value area, and POC to determine whether price is accepting above control, below control, or rotating around value.
Step 2: Check pressure shelves
Imbalance shelves show where estimated participation is concentrated. These areas can act as reaction context.
Step 3: Watch CVD impulse and divergence
Strong CVD impulse supports continuation. Divergence warns that price and participation are not confirming each other.
Indicator Limitations
CVD and pressure are estimated from candles and volume, not true exchange delta.
Volume profile rows are approximations based on chart data and selected lookback.
Session behavior depends on the selected session template.
Divergence uses pivot confirmation and can appear after the pivot candle.
Originality Statement
Vanta Delta Cartography is original in its combined session VWAP, developing profile, pressure heatmap, estimated CVD impulse, pivot divergence, naked POC memory, imbalance shelves, and confirmed execution-plan logic. Each layer supports the same auction question: where is value, where is pressure, and where has participation failed or accepted?
Disclaimer
This script is provided for educational and informational purposes only. It is not financial advice or a recommendation to buy or sell. Auction and delta estimates can be inaccurate, especially on symbols with limited volume data. Use independent analysis and risk management.
Made with passion by jackofalltrades
Indicator
Markov Regime Oscillator PRO🟦 Markov Regime Oscillator PRO is a quantitative regime-classification and forward-probability forecasting engine rendered as a centred oscillator panel. Every bar is classified into one of three regimes — Bull, Bear, Sideways — using a drift-adjusted, volatility-normalised k·σ·√N threshold. The regime sequence feeds two parallel semi-Markov transition matrices (Young / Mature) with exponentially-decayed counts, producing live N-bar forward probabilities and 95 % Bayesian credible intervals on the next-bar probability vector.
The indicator integrates nine analytical layers — drift-adjusted classification, adaptive k·σ·√N threshold, EWMA-decayed transition matrix, semi-Markov duration conditioning, N-bar forecast cone via matrix iteration, Bayesian credible intervals, stationary distribution, velocity precursor with optional momentum filter, and multi-timeframe confluence — each rendered on a single oscillator panel through reference levels, a regime ribbon, gradient fill, three-layer neon glow signals, and an in-panel forecast polyline. A 30-row PRO status dashboard rendered on the main price chart (not the oscillator panel) reports every readout in real time.
Built with mathematical honesty. Every +1 forward probability carries a 95 % Dirichlet-posterior credible interval, the EWMA half-life is user-set so the model can adapt as market character evolves (2020 ≠ 2024), the semi-Markov split splits the chain on regime age so mature trends are not treated like young ones, and the documentation is explicit about what the model can and cannot predict.
🟦 HOW THE CORE ENGINE WORKS
Regime Classification
Each bar, the engine measures the rolling N-bar log return — optionally adjusted for the long-term drift of the asset:
logRet_raw = log(close / close )
meanDrift = SMA(log(close / close ), driftWin)
logRet = logRet_raw − N × meanDrift (when Drift Adjustment is ON)
The bar is labelled by comparing this return against the configured boundary:
- `logRet > +threshold` → BULL
- `logRet < −threshold` → BEAR
- otherwise → SIDEWAYS
The classification runs every bar with no look-ahead. When the optional Momentum Filter is enabled, the Bull / Bear labels additionally require the oscillator velocity to agree with the direction — killing late entries on exhausted moves.
Adaptive Threshold (k · σ · √N)
Traditional Markov regime indicators use a fixed percentage cut — e.g. "±5 % over 20 bars". This collapses on real markets: the same 5 % is trivial in a 2017 mania and never reached in 2023 chop. The fix is to scale the boundary with realised volatility:
threshold_adaptive = k × σ × √N
where σ is the per-bar log-return standard deviation over a configurable window (default 100 bars). Under a random walk, k = 1.0 cuts at the 16th / 84th percentiles; k = 2.0 at the 2.5th / 97.5th percentiles. The default k = 1.5 reproduces classic ±1.5-sigma thresholds.
Fixed-percentage mode is still available for users who want to lock the threshold deliberately.
Drift Adjustment (Alpha-Adjusted Classification)
Strong-trending markets (long BTC bull runs, persistently uptrending equity indices) carry a non-zero baseline drift. Without adjustment, the rolling log return systematically exceeds zero in such markets — producing excessive Bull-regime flips that reflect baseline drift rather than incremental kinetic energy.
The fix is to subtract the long-term mean drift before threshold comparison:
logRet_excess = log(close / close ) − N × mean(log returns, driftWin)
Log returns become EXCESS returns over the asset's own long-run drift — what quant desks call "alpha-adjusted" classification. The default 250-bar drift window approximates one trading year on the daily timeframe.
Oscillator Value
The classified log return is normalised by the active threshold and scaled to ±100 = boundary, clipped at ±300:
oscVal = clip( logRet / threshold × 100, ±300 )
The oscillator value is the central panel signal. Reference levels at ±100 (solid) mark the official regime boundaries, ±70 (dashed) mark the pending early-warning zone, and 0 (dashed) is the neutral midline.
Regime Confidence
Once classified, the move's strength is normalised relative to the active boundary:
confidence = |logRet| / threshold
| Confidence | Tier | Visual |
|---|---|---|
| < 1.0× | weak | ▱▱▱ |
| 1.0× – 2.0× | moderate | ▰▱▱ |
| 2.0× – 3.0× | strong | ▰▰▱ |
| ≥ 3.0× | stretched | ▰▰▰ |
The confidence value feeds the High Confidence alert (≥ 2.5× trigger) and is reported in the Status dashboard.
🟦 EWMA DECAY ON TRANSITION COUNTS
The Ancient-History Problem
A classic Markov chain counts every historical transition with equal weight — a Bull→Bear flip from five years ago contributes the same as one from yesterday. This breaks when market character changes: the 2020 COVID crash regime dynamics are not the same as 2024 retail mania, but a vanilla counter weighs them identically.
The Refinement (EWMA / RiskMetrics-style decay)
Markov Regime Oscillator PRO applies exponential decay to the transition counts every confirmed bar BEFORE incrementing for the new transition:
decayFactor = 0.5 ^ (1 / halfLife)
counts = counts × decayFactor (all 9 cells, every bar)
counts = counts + 1.0 (new transition)
After `halfLife` bars, an old count weighs HALF its original. This is the same math RiskMetrics uses for EWMA volatility — adapted here to regime transition memory.
| Half-life | Behaviour |
|---|---|
| 50 – 200 | highly reactive — adapts fast, probabilities noisy |
| 300 – 700 | balanced (default 500) |
| 1000+ | stable — slow adaptation, smooth probabilities |
The decay is applied to all three matrices in lockstep (full, young, mature) so the semi-Markov split below stays internally consistent.
🟦 SEMI-MARKOV DURATION CONDITIONING
The Memoryless Problem
A standard Markov chain says: "Given I'm in Bull, the probability of staying Bull tomorrow is X — regardless of whether Bull started yesterday or 200 bars ago." This is the memoryless property, and on real markets it's wrong. A 200-bar-old Bull regime carries different mean-reversion risk than a 5-bar-old one.
The Refinement
Markov Regime Oscillator PRO additionally builds two CONDITIONAL transition matrices:
- `P_young` — transitions counted when the source regime's age was below the Age Median input
- `P_mature` — transitions counted when the source regime's age was at or above the Age Median
Both matrices are constructed in parallel with the unconditional matrix, using the same per-bar bucketing logic, the same EWMA decay, and the same Dirichlet smoothing.
The active forecast then uses the matrix matching the CURRENT regime's tier — Young or Mature. A 5-bar-old Bull is statistically more likely to continue than a 50-bar-old one; semi-Markov captures this empirically without leaking into the unconditional chain.
The active matrix tier is reported live in the Status dashboard's "Matrix" cell.
🟦 N-BAR FORECAST CONE
Matrix Iteration
The 3×3 transition matrix P encodes one-bar-ahead probabilities. To project further out, the state vector is iterated through P:
s_0 = = unit vector on current regime
s_{k+1} = s_k · P (matrix multiplication)
For each step k = 1 … forecastSteps, the iteration produces the probability of each regime at that future bar.
Expected Oscillator Value
At each forecast step, the expected oscillator value is computed as:
E = 100 · ( P(Bull | k) − P(Bear | k) )
This number is +100 when the model expects pure Bull, −100 when pure Bear, and ~0 when Side.
In-Panel Polyline
The cone is rendered as a colored polyline extending PAST the last confirmed bar into the future, drawn via `line.new()` so segments are pixel-stable on any chart zoom. Each segment is colored by the dominant regime at that step (Bull / Bear / Side).
Honest Limitation
The cone is reliable up to ~5 bars; beyond that the iteration converges toward the stationary distribution and the forecast loses information. The default Forecast Horizon is 5 bars — covers the meaningful window without illusion.
The forecast is matrix-implied, not a momentum extrapolation. If the oscillator is currently at +250 (strong Bull) but the matrix says P(Bull → Side) is high, the cone will regress to the matrix-implied expected value — showing a visual "cliff" at step 1. This is mathematically honest, not a bug.
The dashboard's "HORIZON +N" cell reports the dominant regime at the terminal forecast step plus its probability — for a single-glance read of where the chain expects to be at horizon end.
🟦 BAYESIAN CREDIBLE INTERVALS
Why Ranges, Not Point Estimates
A forecast like "P(Bull) +1 = 75 %" carries hidden uncertainty. With only 30 historical Bull-source transitions, the true probability could plausibly be anywhere between 55 % and 90 %. With 2000 historical Bull-source transitions, the same 75 % is tightly bracketed at, say, 73 – 77 %.
Reporting a single number hides the difference. Hedge-fund and academic forecasts always carry uncertainty bands; this oscillator does the same.
The Derivation (Dirichlet Posterior, Gaussian Approximation)
The transition matrix posterior is Dirichlet(α + counts) with Laplace (α = 1) prior. Each marginal is Beta with parameters (α_i, Σα − α_i). The Gaussian approximation to that Beta gives:
mean = α_i / Σα
var = α_i · (Σα − α_i) / ( Σα² · (Σα + 1) )
95 % CI ≈ mean ± 1.96 · √var
The CI is computed for the +1 row (the most actionable forecast) and clipped to .
Reading the Dashboard
P(Bull) +1 75 %
| CI Width | Interpretation |
|---|---|
| Narrow (e.g. 73 – 77) | large sample, robust estimate, trust the call |
| Wide (e.g. 50 – 95) | small sample, fragile estimate, don't bet the desk |
This is the difference between a quantitative estimate and an indicator guess.
🟦 STATIONARY DISTRIBUTION π
Power-iterating the matrix to convergence yields the stationary distribution — the long-run probability of being in each regime, independent of the current state. With 50 iterations on a well-behaved stochastic matrix, the distribution is essentially converged.
π(Side) + π(Bull) + π(Bear) = 1.0
The dashboard's "STATIONARY π" section reports each component. Reading π reveals the asset's structural bias regardless of the current regime — e.g., π(Bull) = 55 % on BTC daily tells you the market spends a majority of its time in Bull regimes over the long run, which is fundamentally different from a sideways-grinding instrument with π(Side) = 60 %.
The stationary distribution also serves as the asymptote of the forecast cone: as k → ∞, the cone collapses to π.
🟦 VELOCITY PRECURSOR & MOMENTUM FILTER
Velocity Definition
The oscillator velocity is the N-bar rate-of-change of the oscillator value:
velocity = oscVal − oscVal
velocityThr = VELOCITY_BASE · √(velocityWin / 5)
The threshold auto-scales with the window so the accel / decel / flat labels stay meaningful at any setting.
Early-Warning Cue
Velocity flips direction BEFORE the official ±100 boundary is crossed — it is a leading indicator of regime change. The Status dashboard's "Velocity" cell displays:
- ↑ accelerating (velocity > +threshold) — colored bull
- ↓ decelerating (velocity < −threshold) — colored bear
- ═ flat — neutral
This partially mitigates the inherent lookback lag of threshold-based regime detection.
Optional Momentum Filter
When the Momentum Filter is enabled, regime classification additionally requires velocity sign agreement:
Bull → logRet > +threshold AND velocity > 0
Bear → logRet < −threshold AND velocity < 0
This kills late-entry signals where price has extended past the threshold but momentum is already exhausted — a classic source of false signals at trend tops/bottoms. Reduces signal count, raises signal quality. Recommended for swing trading, optional for scalping.
🟦 PENDING-REGIME EARLY WARNING
Because the regime is classified from `log(close / close )`, the official regime label inherently lags. This is structural, not a bug, but can be partially mitigated.
Inside Sideways, when the log return reaches 70 % of either boundary, the dashboard fires an early-warning cue:
distance_fraction = max(|logRet| / threshold, ...)
isPending = (regime == SIDE) AND (distance_fraction ≥ 0.70)
The Status panel's "Pending" cell displays the direction the return is leaning toward and the current fraction:
⚠ ▲ BULL 87 %
Color matches the leaning regime. The Pending Regime alert (default OFF, opt-in) fires on the first bar a pending state is entered.
This is not a regime change signal — it's a "watch this" cue, triggered roughly 30 % before the official threshold is crossed. Used alongside the official regime change, it gives the user advance notice without compromising the threshold's strictness.
🟦 SELECTABLE SIGNAL SMOOTHING
A second smoothed signal line overlays the main oscillator. Crossovers between the main and signal lines mark momentum-of-regime shifts — these often precede actual regime changes by 1-3 bars.
Four smoothing algorithms are available:
| Method | Character |
|---|---|
| EMA (default) | Exponential — classic lag/smoothness |
| HMA | Hull — near-zero lag for short windows |
| ALMA | Arnaud Legoux (0.85, 6.0) — Gaussian-weighted, smoothest |
| SMA | Simple — most stable, most lag |
The Signal Cross alert can be optionally filtered by HTF alignment — when enabled, the alert fires only when LTF and HTF regimes match. Filter is auto-bypassed when HTF Confluence is globally OFF (silent-kill protection).
🟦 MULTI-TIMEFRAME CONFLUENCE
The same regime logic runs on a user-configured higher timeframe via `request.security` with `lookahead = barmerge.lookahead_off` and `gaps = barmerge.gaps_off` (anti-repaint mandatory). The result is reported in the Status dashboard's HTF block:
| State | Display | Color |
|---|---|---|
| HTF regime matches LTF regime | ✓ ALIGNED | bull |
| HTF regime differs from LTF | ⚠ DIVERGENT | bear |
| Insufficient HTF data | — | foreground |
Divergent regimes are common at trend turns — the LTF flips before the HTF catches up. Aligned regimes carry higher conviction. A separate alert ("MTF Confluence") fires on regime entries only when the HTF agrees.
Recommended pairings:
| Chart | HTF |
|---|---|
| 15m | 1H |
| 1H | D |
| 4H | W |
| D | W |
| W | M |
Use at least 3× your chart timeframe — anything closer and the two regimes track each other with no information gain.
🟦 OSCILLATOR PANEL VISUAL LAYER
Main Oscillator Line
The oscillator value plotted as a continuous line with five color tiers reflecting regime strength:
| Range | Color |
|---|---|
| ≥ +100 | full Bull |
| +70 to +100 | dim Bull (pending up) |
| −70 to +70 | neutral Side |
| −100 to −70 | dim Bear (pending down) |
| ≤ −100 | full Bear |
Line width is configurable 1 – 5 pixels.
Signal Line
A smoothed overlay of the main oscillator, faded foreground color, single-pixel width. Drives the Signal Cross alert and the dashboard Signal cell.
Reference Levels
Three horizontal levels per panel side:
- ±100 — official regime boundaries (solid plot line)
- ±70 — pending early-warning zones (dashed `line.new`)
- 0 — neutral midline (dashed `line.new`)
The dashed lines use `line.new()` rather than `plot.style_circles` so they remain pixel-stable at any chart zoom — they will NOT rescale or fragment.
Regime Ribbon
The oscillator panel background is tinted to the current regime color at 20 % opacity. Provides instant regime context at a glance — Bull / Bear / Side periods are visually separated even when zoomed out on long history. Toggleable.
Gradient Fill
The area between the oscillator line and zero is filled in the regime color, with intensity scaling adaptively by distance from zero — stronger color = higher conviction. Empty at zero.
Three-Layer Neon Glow Signals
On every confirmed regime transition (after the Min Hold filter passes), the indicator drops a three-layer halo on the oscillator line:
| Layer | Size | Transparency | Purpose |
|---|---|---|---|
| Outer | size.large | 80 % | Soft halo |
| Middle | size.normal | 50 % | Mid-glow |
| Core | size.small | 0 % | Bright center |
Bull entries (▲ triangle up), Bear entries (▼ triangle down), and Side entries (◆ diamond). The Min Hold input (default 4 bars) requires a new regime to persist before its flip is drawn — kills label spam in choppy zones without affecting the underlying transition counts.
Forecast Cone Polyline
On the last confirmed bar, a colored polyline extends into the future for N bars, plotting the expected oscillator value at each step. Color reflects the dominant regime at that step. Drawn with `line.new()` so segments are pixel-stable; recomputed on every chart refresh.
🟦 PRO STATUS DASHBOARD
A single dashboard rendered on the MAIN PRICE CHART (not the oscillator panel) via `force_overlay = true`. This keeps the oscillator panel uncluttered so the oscillator line, signal line, gradient fill, and forecast cone get the full pane height.
The dashboard is structured in seven sections, all theme-aware:
| Section | Cells |
|---|---|
| REGIME | Regime, Age + tier, Confidence, Pending, Velocity |
| FORECAST +1 | P(Bull), P(Bear), P(Side) — each with 95 % CI |
| HORIZON +N | Dominant regime at terminal forecast step + probability |
| STATIONARY π | π(Bull), π(Bear), π(Side) — long-run equilibrium |
| OSCILLATOR | Value, Signal direction, Threshold, Drift basis points |
| HTF | Regime + Aligned / Divergent status |
| DATA | Mode, Decay half-life, Matrix tier, Sample N |
Position is configurable across 9 chart corners. Text size: Tiny / Small / Normal / Large. Default Tiny so the full 30-row layout fits on any chart without scrolling. Background and text colors flip between Dark and Light display modes.
🟦 COLOR THEMES
Ten cohesive palettes tuned to the Apex design system, each defining three regime axes (Bull, Bear, Sideways):
| Theme | Character | Bull | Bear | Sideways |
|---|---|---|---|---|
| Focus (default) | Modern | Cyan | Deep orange | Cool blue-grey |
| Prism | Classic | Forest green | Crimson | Slate grey |
| Solar | Warm | Amber | Indigo red | Lavender grey |
| Frost | Cool | Sky blue | Soft lavender | Pale steel |
| Laser | Neon | Lime green | Hot crimson | Charcoal grey |
| Aurora | Bright | Gold | Scarlet | Warm beige |
| Plasma | Electric | Aqua | Magenta | Slate teal |
| Bloom | Soft | Mint | Hot pink | Blue-grey |
| Eclipse | Deep | Navy | Dark crimson | Steel grey |
| Carbon | Minimal | Near-white | Mid-grey | Dark grey |
One theme selection drives every visual component: oscillator line, signal line, reference levels, ribbon, fill, glow signals, forecast cone, and all dashboard cells.
Dark / Light Display Mode
Dashboard chrome (background, foreground, borders, section dividers) flips between dark-on-bright and bright-on-dark. The regime axis colors remain consistent across modes — only the panel chrome changes.
🟦 ALERT SYSTEM
Seven alert conditions, each independently togglable:
| Alert | Condition |
|---|---|
| Bull Regime Entry | Regime flipped to BULL (after Min Hold confirmation) |
| Bear Regime Entry | Regime flipped to BEAR (after Min Hold confirmation) |
| Sideways Regime Entry | Regime flipped to SIDEWAYS (default OFF) |
| High Confidence | confidence ≥ 2.5× threshold, first bar of crossing |
| Pending Regime | Inside Sideways, log return ≥ 70 % of either boundary (default OFF) |
| MTF Confluence | Bull / Bear entry + HTF agrees |
| Signal Cross | Main oscillator crosses signal line (default OFF) |
All alerts fire on confirmed bar close. Entry alerts respect the Min Hold filter — a new regime must persist Min Hold bars before its entry alert fires, matching the on-chart glow markers.
The Signal Cross alert can be optionally filtered by HTF alignment (Multi-Timeframe → Filter Signal Cross by HTF). The filter is automatically bypassed when HTF Confluence is globally OFF, so enabling the filter without HTF doesn't silently kill the alert.
🟦 SETTINGS REFERENCE
Theme
- Theme — One of 10 Apex palettes. Default: Focus
- Display Mode — Dark / Light. Default: Dark
Regime Logic
- Threshold Mode — Adaptive (k·σ·√N) / Fixed (%). Default: Adaptive
- Lookback Window — Bars for the rolling log return. Default: 20
- Adaptive k — Sigma multiplier. Default: 1.5
- Fixed Bull Threshold — Used only in Fixed mode. Default: 5.0 %
- Fixed Bear Threshold — Used only in Fixed mode. Default: 5.0 %
- Volatility Window — Bars for the per-bar stdev. Default: 100
- Min Hold — Bars a new regime must persist for entry alerts and glow markers. Default: 4
- Drift-Adjusted Log Returns — Toggle the drift adjustment. Default: ON
- Drift Window — Bars for the long-term mean drift estimate. Default: 250
- Require Momentum Agreement — Velocity sign filter on regime classification. Default: OFF
Bayesian Math
- EWMA Transition Counts (Decay) — Toggle exponential decay. Default: ON
- Decay Half-Life — Bars after which an old count weighs half. Default: 500
- Semi-Markov Duration Conditioning — Toggle the Young / Mature split. Default: ON
- Age Median — Boundary between Young and Mature regimes. Default: 10
- Bayesian Credible Intervals (95 %) — Toggle CI display in the dashboard. Default: ON
Forecast
- Forecast Cone Horizon — Number of bars projected by matrix iteration. Default: 5
- Show Forecast Cone — Toggle the in-panel cone polyline. Default: ON
Oscillator
- Show Signal Line — Toggle the smoothed signal overlay. Default: ON
- Signal Smoothing Method — EMA / HMA / ALMA / SMA. Default: EMA
- Signal Smoothing Length — Window length. Default: 5
- Velocity Window — Bars for the rate-of-change measurement. Default: 5
- Oscillator Line Width — Pixels. Default: 2
Display
- Show Regime Ribbon — Toggle the panel background tint. Default: ON
- Show Gradient Fill — Toggle the oscillator-vs-zero fill. Default: ON
- Show Reference Levels — Toggle the ±100 / ±70 / 0 horizontal lines. Default: ON
- Show Regime Change Glow — Toggle the three-layer halo markers. Default: ON
Multi-Timeframe
- Enable HTF Confluence — Toggle. Default: ON
- HTF Resolution — Higher timeframe. Default: D
- Filter Signal Cross by HTF Alignment — Conditional filter on cross alert. Default: OFF
Dashboard
- Show Status Dashboard — Toggle. Default: ON
- Position — Nine chart corners. Default: Top Right
- Size — Tiny / Small / Normal / Large. Default: Tiny
Alerts
- Bull / Bear / Sideways Regime Entry — Independent toggles
- High Confidence (≥ 2.5×) — Default: ON
- Pending Regime — Default: OFF
- MTF Confluence — Default: ON
- Signal Cross — Default: OFF
🟦 COMPATIBILITY
Works on all asset classes and all timeframes in PulseWire Pine Script v6.
- Crypto: Spot, futures, perpetual contracts
- Forex: All pairs
- Equities: Stocks, ETFs, indices
- Commodities: Metals, energy, agriculture
- Timeframes: 1m through Monthly
The adaptive threshold normalises by per-bar realised volatility, and the drift adjustment normalises by the asset's long-run mean drift — together making the regime classification volatility-and-drift-agnostic across assets without manual recalibration. The same default settings work on BTCUSDT daily, SPY weekly, and EURUSD 4H — only the HTF resolution input should be adjusted to match the chart timeframe.
🟦 TECHNICAL NOTES
- Pine Script v6
- `max_labels_count = 500`, `max_lines_count = 500`, `max_bars_back = 5000`
- No repainting — all regime classifications are computed on confirmed bar close. The HTF request uses `lookahead = barmerge.lookahead_off` and `gaps = barmerge.gaps_off`
- Transition counting uses `barstate.isconfirmed` to avoid double-counting the live bar
- Regime change debouncing uses `ta.barssince` to avoid runtime-indexed history reads (which can trip "cannot determine max_bars_back" in Pine v6)
- Heavy computation (P matrix construction, N-step iteration, Bayesian CI math, stationary distribution power iteration, dashboard rendering) is gated on `barstate.islast` to run once per chart render
- Matrix multiplication is implemented as unrolled single-line expressions over a flat 9-cell array for portability and speed
- EWMA decay multiplies all 9 cells of all 3 matrices (counts, countsYoung, countsMature) once per confirmed bar — O(27) per bar overhead
- Dirichlet smoothing prevents NaN propagation when a regime has not appeared in visible history — empty rows fall back to uniform 1/3
- Duration buckets classify by the SOURCE regime's age at the moment of transition (`regAge `), so the bucketing reflects the regime that was about to transition rather than the destination
- `ta.crossover` / `ta.crossunder` are computed at global scope every bar to satisfy Pine's stateful-series rule (the gated cross events read from the cached values)
- Dashboard is rendered with `force_overlay = true` on the main price chart — keeps the oscillator panel free of UI clutter
- Reference-level dashed lines use `line.new()` with `style = line.style_dashed` and `extend = extend.both` for pixel-stable rendering at any zoom
🟦 LIMITATIONS — READ THIS
This indicator is statistically honest about what it can and cannot do. Four known limitations:
1. The Markov assumption is partially violated. Markets are not memoryless. The semi-Markov Young / Mature split mitigates this but does not eliminate it. EWMA decay further mitigates by down-weighting ancient transitions, but a truly path-dependent process (one where the SEQUENCE of recent regimes matters, not just the last one) is not captured.
2. Forward probabilities are not predictions. They are conditional probabilities under the chain assumption with the credible intervals quantifying the SAMPLING uncertainty around them. A "Bull 58 % at +5 bars" reading does not mean "58 % chance the next 5 bars are bullish" — it means "given a long-run sample of similar starting states and the active EWMA-decayed transition matrix, 58 % were in Bull at +5 bars". Use the cone as ONE input alongside other analysis.
3. The regime label lags by N bars. This is structural — the rolling log return necessarily looks back. The Pending early warning and the optional Momentum Filter partially mitigate this but cannot eliminate the lag. Treat the official regime change as a confirmation, not a leading signal.
4. Forecast cone reliability decays with horizon. By +5 bars the cone is at the edge of usefulness; by +20 bars it collapses toward the stationary distribution and carries no additional information beyond π. The default horizon is 5 bars for this reason. Do not over-interpret the right side of the cone.
🟦 DISCLAIMER
This indicator is provided for educational and informational purposes only. It does not constitute financial advice. Past performance does not guarantee future results. The forward probabilities are conditional estimates derived from historical transition counts under a (semi-)Markov model assumption — they are NOT guarantees about future market behaviour. Always conduct your own analysis and apply proper risk management. Indicator
Swing Volume Structure [JOAT] Swing Volume Structure
Introduction
Swing Volume Structure is an open-source market structure indicator focused on confirmed pivots, volume-backed breakouts, sweeps, retests, and compression. It is designed to keep structure analysis clean by confirming pivots with right-side bars and confirming actionable states on bar close.
The script helps traders distinguish ordinary swing movement from structure breaks that occur with volume expansion or sweep behavior.
Core Concepts
1. Confirmed Pivot Structure
Pivot highs and lows are confirmed using configurable left and right bars. Once confirmed, pivots are classified into structural context such as higher high, higher low, lower high, or lower low.
2. Volume Confirmation
Breakout states are scored using volume relative to a moving average. Expansion volume strengthens breakout quality, while quiet volume can mark compression.
3. Sweep and Reclaim Behavior
The script detects when price probes beyond a prior swing and then reclaims or rejects the level. This helps separate liquidity sweeps from clean breakouts.
4. Retest Logic
After a structural break, retest behavior can support continuation when price returns to the broken area and holds.
5. Entry and Exit Rails
Confirmed breakout or sweep states can draw entry, stop, TP1, and TP2 references using ATR and structure.
Features
Confirmed HH/HL/LH/LL structure: Pivots are classified after confirmation.
Volume-backed breakouts: Break quality is strengthened by relative volume expansion.
Sweep reclaim/reject states: Identifies failed breaks beyond prior swing levels.
Inside compression detection: Detects quiet, compressed conditions.
Supply/demand zones: Optional zones around important swing areas.
Entry/exit rails: Optional risk references for accepted states.
Candle tinting: Bars can reflect current structure state.
HUD: Shows state, bias, pivot class, volume, nearest support/resistance, score, and bar counts.
Alerts: Long breakout, short breakout, bullish sweep, bearish sweep, inside compression, and volume expansion.
Input Parameters
Structure: Pivot Left, Pivot Right, ATR Length, Zone ATR Thickness, Zone Extension Bars.
Volume and Signals: Volume Average Length, Expansion Multiplier, Quiet Compression Threshold, Minimum Breakout Score, State Cooldown Bars.
Risk and Visuals: Stop ATR Buffer, TP1 R, TP2 R, Rail Projection Bars, Tint Candles by State, Connect Confirmed Swings, Show Supply/Demand Zones, Pivot Labels, Active Support/Resistance, Structure HUD.
How to Use This Indicator
Step 1: Read structure bias
Use the HUD and swing context to identify whether structure is improving, deteriorating, or balanced.
Step 2: Separate breakouts from sweeps
A breakout shows acceptance beyond structure. A sweep shows a probe and rejection or reclaim. These are different conditions.
Step 3: Check volume
Volume expansion can increase the importance of a break. Quiet volume can identify compression or lower-conviction movement.
Indicator Limitations
Pivots confirm only after the configured right bars complete.
Volume confirmation depends on the quality of the symbol's volume feed.
Supply/demand zones are approximations around swing areas, not exact order book data.
Breakout and sweep states can fail during high-volatility reversals.
Originality Statement
Swing Volume Structure is original in how it combines confirmed pivot classification, volume expansion scoring, sweep/reclaim logic, retests, compression states, optional zones, candle states, and ATR risk rails into a single structure tool.
Disclaimer
This script is provided for educational and informational purposes only. It is not financial advice or a trade recommendation. Structure signals are based on historical candles and can fail. Use proper risk management.
Made with passion by jackofalltrades
Indicator
Session Probability Grid [JOAT]Session Probability Grid
Introduction
Session Probability Grid is an open-source session auction map. It builds percent-based ladder levels from the active session open, tracks historical hit behavior for those levels, and displays probability-style context for expansion, exhaustion, and unusual session movement.
The problem it solves is session framing. Traders often know the open is important, but they may not know whether a move is normal for the current symbol and timeframe. This script records session outcomes and converts them into visible ladder probabilities.
Core Concepts
1. Session Open Ladder
The script creates six upside and six downside levels from the session open using configurable percentage steps. These levels frame how far price has moved away from the open.
2. Historical Hit Memory
At the end of each session, the script updates arrays storing hit counts, sample counts, and continuation distance. This creates a rolling sample of how often each ladder has been reached.
3. Opening Range Context
The first configurable number of bars defines the opening range. The session box and opening range box help distinguish early balance from later expansion.
4. Expansion and Exhaustion States
Expansion states identify movement through areas with supportive historical behavior. Exhaustion states mark stretched locations where continuation may be less reliable.
5. Session VWAP Gradient
The optional session VWAP gradient adds a live auction mean reference so ladder movement can be compared against the developing session control line.
Features
Open-relative ladder: Six upside and six downside levels based on configurable percent steps.
Statistical memory: Tracks hit count, sample count, and continuation distance from completed sessions.
Probability cards: Right-side cards show ladder behavior without crowding price.
Expansion and exhaustion states: Highlights meaningful session movement conditions.
Session and opening range boxes: Frames current auction development.
Session VWAP gradient: Adds a developing mean reference.
Candle coloring: Bars can be colored by session state.
Dashboard: Shows session state, nearest ladder, hit probability, expected continuation, and range condition.
Alerts: Upside expansion, downside expansion, upper exhaustion, and lower exhaustion.
Input Parameters
Core Session: Active Session, Opening Range Bars, Stat Sample Cap, Session Range Box, Opening Range Box.
Ladder: Open-Relative Ladders and Step 1 through Step 6.
Signals and Visuals: Auction State Zones, State Projection Bars, Continuation Probability Gate, Right Probability Cards, Session Candle Color, Session VWAP Gradient, Dashboard.
How to Use This Indicator
Step 1: Start from the session open
The ladder levels are built from the open, so they frame the current session relative to its starting price.
Step 2: Compare price to the ladder
As price approaches a ladder level, check the probability card and dashboard for historical hit and continuation context.
Step 3: Distinguish expansion from exhaustion
Expansion and exhaustion states help separate normal auction development from stretched movement.
Indicator Limitations
Probabilities are based on the chart's available historical sessions and are not universal statistics.
Session boundaries depend on the selected exchange/session setting.
The script needs enough completed sessions to build useful samples.
Probability context does not predict future price.
Originality Statement
Session Probability Grid is original in its combination of open-relative ladders, rolling hit memory, continuation-distance storage, session VWAP context, opening range framing, and expansion/exhaustion visualization. It is not just a static percent-level tool; it updates its context from completed session behavior.
Disclaimer
This script is for educational and informational purposes only. It is not financial advice and does not recommend trades. Historical session behavior may not repeat. Use independent analysis and risk management.
Made with passion by jackofalltrades
Indicator
Pressure Reversal Engine [JOAT]Pressure Reversal Engine
Introduction
Pressure Reversal Engine is an open-source pressure and absorption indicator. It estimates buy and sell participation from candle location, body behavior, direction, and volume, then looks for cases where aggressive participation fails to produce continuation.
The script is designed for traders who want to identify absorption, pressure mismatch, reclaim/reject behavior, and stacked imbalance areas without relying on true bid/ask data.
Core Concepts
1. Estimated Buy/Sell Pressure
The pressure model uses close position within the candle, candle body, direction, and volume. This creates a deterministic approximation that works on symbols where true bid/ask volume is not available.
2. Absorption Detection
Absorption is identified when strong estimated pressure fails to move price in the expected direction. Demand absorption and supply absorption are tracked separately.
3. Pressure Profile
A rolling profile divides the recent price range into rows and estimates where buy and sell pressure accumulated. The profile highlights skew, POC, value area, and imbalance zones.
4. Reclaim and Reject Logic
Swing references help identify whether price reclaimed a prior level or rejected from it. These events can combine with pressure mismatch to create long or short setup states.
5. Stacked Pressure Clusters
Consecutive bars with strong pressure and volume expansion create cluster boxes. These show areas where participation repeatedly appeared.
Features
Buy/sell pressure estimation: Uses candle anatomy and volume to approximate directional participation.
Absorption states: Detects when demand or supply fails to follow through.
Rolling pressure profile: Displays POC, value area, and pressure skew.
Stacked pressure boxes: Highlights repeated pressure bursts over several bars.
EMA regime filter: Optional trend filter for long and short setups.
Entry and exit state zones: Shows confirmed pressure reversal and risk-off states.
ATR stop/target rails: Uses volatility-adjusted projections for setup review.
Pressure candle coloring: Bars can reflect active pressure state.
Dashboard: Shows pressure state, profile skew, POC, value area, absorption, regime, volume, and stack status.
Alerts: Long setup, short setup, long exit, short exit, demand absorption, and supply absorption.
Input Parameters
Core: Pressure Profile Lookback, Profile Rows, Pressure Gate, Value Area.
Signals: Entry / Exit State Zones, EMA Regime Filter, Fast EMA, Slow EMA, Swing Left, Swing Right, Projection Bars, Signal Cooldown Bars, Stored Trade Plans.
Cluster, Risk, and Visuals: Stacked Pressure Boxes, Minimum Stack Bars, Stack Volume Boost, ATR Stop, Target 1 ATR, Target 2 ATR, Right Pressure Profile, Pressure Candle Color, Dashboard, Profile Right Offset.
How to Use This Indicator
Step 1: Read the pressure state
Use the dashboard to see whether bid pressure, ask pressure, absorption, or idle conditions dominate.
Step 2: Watch for failed participation
The strongest reversal information appears when pressure is high but price fails to continue in that pressure direction.
Step 3: Use value area and POC as context
Reversals near the pressure POC or value area edge can have different meaning than signals in empty areas.
Indicator Limitations
Pressure is estimated from candle and volume data; it is not true exchange order flow.
Rolling profiles are approximations and depend on lookback and row settings.
Signals can be delayed by confirmed-bar logic.
Markets with poor volume data can reduce profile usefulness.
Originality Statement
Pressure Reversal Engine is original in the way it combines candle-derived pressure, rolling pressure profile rows, absorption logic, reclaim/reject behavior, stacked pressure clusters, and ATR risk projections into one open-source Pine Script v6 tool.
Disclaimer
This script is provided for educational and informational purposes only. It is not financial advice or a recommendation to trade. Estimated pressure can be wrong, and all signals can fail. Use proper risk management.
Made with passion by jackofalltrades
Indicator
Helix Regime Corridor [JOAT]Helix Regime Corridor
Introduction
Helix Regime Corridor is an open-source regime and entry-state indicator built around adaptive ATR bands, structural CHoCH events, regression context, transition memory, and risk rails. It is designed to show when price is moving under bullish control, bearish control, or a less decisive transition state.
The script solves the problem of treating every trend flip the same. It requires directional control, structure, volatility, and confluence scoring before marking a confirmed shift.
Core Concepts
1. Adaptive Regime Corridor
The central trend average and surrounding ATR bands adapt to current market volatility. The corridor shows whether price is operating above, below, or inside the active control area.
2. Confirmed Holds
The script can require price to hold beyond the corridor for a configurable number of bars. This helps reduce single-candle fakeouts.
3. CHoCH-Assisted Structure
Pivot highs and lows identify structural change. Bullish or bearish CHoCH events can support a new regime shift when price breaks prior structure.
4. Regression Context
An optional regression field provides broader directional context and helps identify whether the active shift is aligned with the recent linear price path.
5. Transition Memory
The script tracks transition behavior over a configurable memory window. This adds a probability-style context layer without claiming certainty.
Features
Adaptive ATR corridor: Volatility-adjusted bands frame bullish and bearish control.
Regime shift detection: Identifies confirmed changes into bullish or bearish control.
CHoCH structure: Optional structure-assisted entries using pivot confirmation.
Confluence scoring: Signals require score alignment rather than a single moving-average cross.
Risk rails: Entry, stop, TP1, TP2, and TP3 references can be drawn for confirmed shifts.
Candle tinting: Bars can be colored by current state.
Optional regression channel: Adds broader context when desired.
HUD: Shows regime, score, transition, ADX/ATR, regression, structure, and bias.
Alerts: Long shift, short shift, bull regime, bear regime, bullish CHoCH, and bearish CHoCH.
Input Parameters
Core: Operating Preset, Adaptive Average Length, ATR Length, ATR Band Multiplier, Confirmed Hold Bars.
Structure and Signals: Pivot Left, Pivot Right, Regression Context Length, Transition Memory, Directional Strength Length, Minimum Shift Score, Allow CHoCH-Assisted Entries, Signal Cooldown Bars.
Risk and Visuals: Structure Stop Lookback, Stop ATR Buffer, TP1 R, TP2 R, TP3 R, Rail Projection Bars, Adaptive Bands, Trend Cloud, Regression Channel, Candle Tint, Pivot Marks, HUD.
How to Use This Indicator
Step 1: Read the regime
Use the corridor and dashboard to identify whether price is under bullish control, bearish control, or a weaker transitional state.
Step 2: Wait for score confirmation
Long and short shifts are only marked when the configured confluence score is reached.
Step 3: Compare structure
CHoCH events help explain whether a shift is supported by structural change or only by band behavior.
Indicator Limitations
Pivot structure confirms after the required right-side bars complete.
Adaptive bands can lag sharp reversals because they are volatility-based.
Transition memory summarizes recent behavior; it does not forecast future price.
Risk rails do not account for spread, slippage, or order execution.
Originality Statement
Helix Regime Corridor is original in its combination of adaptive ATR control bands, hold confirmation, CHoCH structure, regression context, transition memory, confluence scoring, and risk rails. The components are combined to classify regime and produce cleaner shift states rather than simply plotting a trend band.
Disclaimer
This script is for educational and informational use only. It is not financial advice and does not recommend any trade. Trend and regime models can fail in ranges, news events, and abnormal volatility. Always manage risk independently.
Made with passion by jackofalltrades
Indicator
Candle Architect Signals [JOAT]Candle Architect Signals
Introduction
Candle Architect Signals is an open-source candlestick ranking engine. Instead of labeling every possible candle pattern, it evaluates candle anatomy through trend, regression, momentum, volume, wick rejection, and structure context, then displays only the highest-quality accepted state.
The goal is to reduce pattern noise. Many candlestick tools show too many labels because they treat a pattern in isolation. Candle Architect Signals requires contextual agreement before a candle becomes actionable.
Core Concepts
1. Candle Anatomy
The script reads body size, wick size, close location, range, and relative volatility. This creates a consistent foundation for evaluating rejection, continuation, and exhaustion candles.
2. Pattern Library With Context Filters
Classic candle ideas are combined with custom filters. The script does not accept a pattern just because its shape appears; it also checks trend, structure, regression location, momentum, and volume behavior.
3. Ranking Instead of Spam
When multiple candidate patterns appear, the engine selects the best-scoring candidate. This keeps the chart from filling with overlapping candle names.
4. Structure and CHoCH Context
Pivot highs and lows help identify structural shifts. Bullish and bearish CHoCH events can increase the relevance of candle signals that appear near changing structure.
5. Risk Rails
Accepted signals can draw entry, stop, TP1, TP2, and TP3 references based on structure and ATR buffering.
Features
Ranked candlestick engine: Selects the strongest candle state instead of labeling every pattern.
Trend filter: Uses fast and slow EMAs to determine directional backdrop.
Regression context: Optional regression field helps identify stretched or mean-reverting locations.
Momentum and volume filters: RSI and volume participation influence the score.
Structure weighting: Pivot and CHoCH context can increase or reduce signal quality.
Accepted candle tinting: Confirmed candles can be colored by bullish or bearish state.
Signal zones and rails: Optional zones plus entry/stop/target references.
Dashboard: Shows context, best candle class, score, RSI/volume state, and cooldown.
Alerts: Long candle, short candle, bullish CHoCH, and bearish CHoCH.
Input Parameters
Core Context: Fast EMA, Slow EMA, Regression Context Length, RSI Length, ATR Length.
Structure and Signals: Pivot Left, Pivot Right, Structure Score Weight, Minimum Accepted Score, Signal Cooldown Bars.
Risk and Display: Stop ATR Buffer, TP1 R, TP2 R, TP3 R, Rail Projection Bars, Signal Labels, Signal Zones, Entry/Exit Rails, EMA Cloud, Regression Field, Structure Levels, HUD.
How to Use This Indicator
Step 1: Focus on accepted signals
The script intentionally hides weaker pattern candidates. Treat displayed candle states as filtered candidates that passed the configured score gate.
Step 2: Read the score and context
Higher scores indicate stronger alignment between candle shape, trend, volume, momentum, and structure.
Step 3: Use rails as planning references
When rails are enabled, the stop and targets provide a consistent risk framework. They should be reviewed against market structure and liquidity conditions.
Indicator Limitations
Candle patterns are descriptive, not predictive.
Pivot-based structure confirms after the right-side bars complete.
Volume filters can be less reliable on symbols with incomplete or synthetic volume.
Risk rails are reference levels and do not manage trades.
Originality Statement
Candle Architect Signals is original in how it combines candle anatomy, ranked pattern selection, EMA trend context, regression location, volume, momentum, CHoCH structure, and ATR risk rails into one selective open-source script. The originality is in the scoring and filtering process, not in claiming that candle patterns alone are new.
Disclaimer
This script is provided for educational and informational purposes only. It is not financial advice or a recommendation to trade. Candlestick patterns can fail, especially during high volatility, news events, and low-liquidity periods. Use proper risk management.
Made with passion by jackofalltrades
Indicator
Auric Reference Crucible [JOAT]Auric Reference Crucible
Introduction
Auric Reference Crucible is an open-source reference-price state engine. It tracks daily open, weekly open, monthly open, and previous close, then classifies how price behaves around each anchor.
The indicator is built for traders who use opening prices and prior closes as decision levels but want a structured way to separate untouched levels, tests, reclaims, rejections, and active control.
Core Concepts
1. Multi-Timeframe Reference Anchors
Daily, weekly, and monthly opens are tracked as higher-timeframe anchors. Previous close is tracked separately. Each reference can be enabled or disabled.
2. Anchor State Classification
Each reference is classified by interaction state: untouched, touched, tested, reclaimed, rejected, or active control. This creates a state machine instead of a static horizontal-line tool.
3. ATR Touch and Reaction Bands
ATR defines touch distance and reaction band thickness so levels adapt to each symbol's current volatility.
4. Control Score
The script scores anchors using state, distance, pressure, and reaction behavior. The strongest anchor becomes the active control reference.
5. Reclaim and Reject Execution Zones
When the active reference and confirmation logic agree, the script can draw compact long or short execution rails with entry, stop, TP1, and TP2.
Features
Daily, weekly, monthly, and previous close references: Core anchors used for session and swing context.
Reference state machine: Tracks touch, test, reclaim, and reject behavior.
Dominant control anchor: Scores references so the most relevant level is emphasized.
ATR reaction bands: Volatility-adjusted zones around active references.
Confirmed state changes: Optional confirmed-bar logic reduces intrabar repaint risk.
Execution rails: Optional long/short plans with stop and target references.
Fade untouched anchors: Keeps inactive references less visually dominant.
Dashboard: Shows anchor state, bias, and control information.
Alerts: Anchor touch, reclaim, reject, long crucible, and short crucible.
Input Parameters
References: Show Daily Open, Show Weekly Open, Show Monthly Open, Show Previous Close.
Signals: Touch Zone ATR, Reaction Band ATR, Reclaim Confirmation Bars, Wick Rejection Multiple, Confirmed-Bar State Changes.
Execution and Visuals: Trend Filter EMA, Pressure Window, Minimum Control Score, Stop ATR, TP1 R, TP2 R, Execution Cooldown Bars, Stored Setup Zones, Reaction Bands, Dashboard, Execution Rails, Signal Zones, Reference Price Tags.
How to Use This Indicator
Step 1: Identify the active reference
Start with the dashboard. It shows which anchor is currently most relevant and whether price is treating that anchor as bullish, bearish, or neutral.
Step 2: Watch reclaim and reject states
A reclaim means price moved back through a reference with confirmation. A reject means price tested the area and failed to hold through it.
Step 3: Use execution rails after confirmation
When a long or short crucible appears, use the plotted entry, stop, and target references as a structured review plan.
Indicator Limitations
Higher-timeframe opens update according to exchange/session boundaries.
Reference levels are context zones, not automatic entries.
ATR bands widen during volatility expansion and narrow during quiet periods.
Confirmed-bar mode means some state changes appear after the bar closes.
Originality Statement
Auric Reference Crucible is original in its reference-state approach. It does not simply plot opens and closes; it classifies anchor behavior, scores active control, adapts reaction zones with ATR, and optionally converts confirmed reclaim/reject behavior into structured execution rails.
Disclaimer
This script is provided for educational and informational purposes only. It is not financial advice and should not be treated as a recommendation to buy or sell. Reference prices can fail, especially during news, gaps, and thin liquidity. Use proper risk management.
Made with passion by jackofalltrades
Indicator
Apex Execution Ledger [JOAT]Apex Execution Ledger
Introduction
Apex Execution Ledger is an open-source confluence and execution-planning indicator. It scores trend, volatility, VWAP location, pressure, CVD behavior, wick rejection, structure sweeps, and a compact transition model before drawing a confirmed long or short plan.
The script is designed to wait until several independent conditions agree. It then displays entry, stop, TP1, and TP2 reference zones using ATR-based risk. Signals are close-confirmed by default so the plotted setup is based on completed bar information.
Core Concepts
1. Multi-Factor Setup Scoring
Long and short scores are built from EMA trend, VWAP side, ATR activity, DMI direction, RSI/momentum, volume expansion, pressure delta, CVD alignment, auction premium/discount, wick rejection, structure sweeps, and expansion break behavior. No single condition controls the signal by itself.
2. Auction and Pressure Context
The script estimates buy and sell pressure from candle anatomy and volume, then compares that pressure to VWAP and ATR deviation bands. This helps identify discount reclaims and premium rejects.
3. Structure Sweep Memory
Sweep zones are created when price probes beyond recent structure and rejects. These zones remain on the chart as recent liquidity-memory references.
4. Close-Confirmed Execution Plans
Confirmed long and short states draw entry, stop, TP1, and TP2 levels from the confirmed bar and current ATR.
Features
Long and short confluence scores: Directional quality is scored from trend, pressure, volatility, structure, and location.
Confirmed-bar signals: Signals can require completed bars for non-repainting references.
ATR trade projection: Entry, stop, TP1, and TP2 adapt to current volatility.
VWAP deviation field: Frames auction premium and discount areas.
Sweep memory zones: Shows recent bullish and bearish liquidity events.
Candle coloring: Bars can be tinted by active directional pressure and score state.
Operating presets: Scalping, Intraday, Swing, Low-Noise, and Visual Showcase.
Dashboard: Summarizes active side, long score, short score, pressure, volatility, and transition state.
Alerts: Long setup, short setup, sweep memory, discount reclaim, premium reject, and pressure expansion.
Input Parameters
Core: Operating Preset, Fast EMA, Slow EMA, RSI Length, Volume Baseline, Structure Sweep Window.
Risk and Signals: ATR Length, Minimum ATR %, Stop ATR Multiple, Target 1 ATR Multiple, Target 2 ATR Multiple, Setup Score Threshold, Signal Cooldown Bars, Require Trend Agreement, Require Volume Expansion, Confirmed-Bar Signals.
Visuals: Color Candles, Show Trend Cloud, Show VWAP Deviation Field, Show Sweep Memory Zones, Show Trade Projection, Show Dashboard, Glow Transparency.
How to Use This Indicator
Step 1: Read the active score state
Compare long score versus short score in the dashboard. A setup matters most when one side clears the threshold and separates from the other side.
Step 2: Check location
Evaluate whether the setup is near VWAP, discount, premium, or a recent sweep memory zone.
Step 3: Use the execution box as a plan
The plotted entry, stop, TP1, and TP2 levels are reference zones for review and risk planning, not automatic trade instructions.
Indicator Limitations
Pressure and CVD are estimated from candle and volume behavior; they are not exchange-level bid/ask delta.
Confirmed mode waits for the candle close before displaying a signal.
ATR projections do not account for spread, slippage, or liquidity.
Low-volume or synthetic symbols may produce weaker pressure readings.
Originality Statement
Apex Execution Ledger is original in its combination of weighted execution scoring, auction-location logic, sweep memory, pressure delta, CVD alignment, transition context, and ATR projection inside one open-source Pine Script v6 study. The components work together so trend defines permission, pressure evaluates participation, sweep memory adds location, and ATR structures risk.
Disclaimer
This script is provided for educational and informational purposes only. It is not financial advice and does not recommend buying or selling any instrument. Markets involve risk, and historical calculations can fail in future conditions. Always use independent judgment and proper risk management.
Made with passion by jackofalltrades
Indicator
Vesper Structure Ledger [JOAT]Vesper Structure Ledger
Introduction
Vesper Structure Ledger is an open-source market structure indicator built around KAMA trend context, pivot-based BOS and CHoCH events, liquidity sweeps, equal high/low probes, premium/discount zones, demand/supply boxes, right-side structural rails, managed signal boxes, and a top-right dashboard.
The script is intended to make structure easier to read without relying on arrows or cluttered labels. It distinguishes continuation structure from potential character shifts, then adds trend, impulse, volume, and higher-timeframe context before qualifying stronger events.
Core Concepts
1. KAMA Trend Core
The KAMA engine uses an efficiency ratio to adapt smoothing. When price moves efficiently, the trend line responds faster. In noisy conditions, it slows down and reduces whipsaw sensitivity.
2. Pivot Structure Memory
Confirmed pivot highs and lows are stored as structural references. These levels become the next possible break points for BOS or CHoCH events.
// Conceptual summary
// pivot high and pivot low become current structure rails
// confirmed closes through those rails create BOS or CHoCH events
3. BOS vs CHoCH
A Break of Structure confirms continuation in the current structural direction. A Change of Character marks a break against that direction and can signal a potential shift. Vesper also tracks BOS counts before allowing some character changes to carry more weight.
4. Sweeps and Equal Levels
Liquidity sweeps occur when price probes beyond a swing level and closes back through it. Equal high and equal low probes mark nearby repeated liquidity levels.
5. Demand/Supply and Managed Structure Map
Confirmed qualified signals can create demand or supply zones and a managed visual box with entry, invalidation, and target levels. These levels are for context and planning only.
Features
Adaptive KAMA trend line: Efficiency-ratio smoothing for trend context
BOS and CHoCH logic: Separates continuation breaks from possible character shifts
BOS-count gating: Adds context before stronger reversal interpretation
Liquidity sweeps: Detects confirmed wick-and-reclaim events around swing levels
Equal high/low probes: Marks repeated nearby liquidity levels
Premium/discount fill: Shows position inside the recent structure range
Demand and supply boxes: Projects reaction zones from qualified structure
Right-side rails: Labels KAMA, swing high, swing low, and equilibrium
Managed signal box: Displays entry, invalidation, and target levels
Top-right dashboard: Shows trend, KAMA, slope, structure, BOS count, sweep, equal level, context, impulse, targets, and state
Input Parameters
Trend Core:
KAMA Length
Fast Period
Slow Period
Source
Structure Core:
Pivot Left and Pivot Right
Structure Objects
Show BOS
Show CHoCH
Show Target Lines
Liquidity Core:
Show Liquidity Sweeps
Sweep Lookback
Sweep Buffer ATR
Show Equal Levels
How to Use This Indicator
Step 1: Read trend context
Use KAMA and the dashboard trend row to understand whether price is above or below the adaptive trend.
Step 2: Watch BOS and CHoCH
BOS events suggest continuation. CHoCH events warn that character may be changing.
Step 3: Mark liquidity
Sweeps and equal-level probes identify areas where price has tested or reclaimed liquidity.
Step 4: Use zones as references
Demand/supply boxes and right-side rails help frame current structure. They are not automatic entries.
Indicator Limitations
Pivot-based structure confirms after the right-side pivot window completes
CHoCH events can fail in strong continuation markets
Sweeps require confirmed closes and may appear after the wick forms
Zone boxes are contextual references, not assurances of support or resistance
Originality Statement
Vesper Structure Ledger combines adaptive KAMA trend state, pivot structure, BOS/CHoCH classification, BOS-count context, sweep logic, equal-level probes, premium/discount mapping, projected demand/supply boxes, and managed structure rails in one open-source Pine v6 tool. The purpose is to create a cohesive structure ledger, not a collection of unrelated labels.
Disclaimer
This script is for educational and informational use only. It is not financial advice and does not predict future market behavior. Always use independent analysis and risk management.
-Made with passion by jackofalltrades
Indicator
Obsidian Trend Relay [JOAT]Obsidian Trend Relay
Introduction
Obsidian Trend Relay is an open-source multi-timeframe trend and risk-ladder indicator. It combines zero-lag EMA logic, SuperTrend, an EMA ribbon, three higher-timeframe confirmation votes, prediction threshold rails, proximity warnings, candle coloring, risk ladder boxes, right-side price labels, and a top-right dashboard.
The script is built for users who want a directional trend context layer with structured visual planning. It does not claim to forecast price. Instead, it shows when local trend, ribbon structure, SuperTrend, and higher-timeframe votes align or conflict.
Core Concepts
1. Zero-Lag EMA Core
The zero-lag component reduces the smoothing delay of a standard EMA by comparing the first EMA against a second smoothing pass. This creates a responsive trend anchor used for reclaim and rejection logic.
// Conceptual summary
// zlema = 2 * ema(source, length) - ema(ema(source, length), length)
2. SuperTrend and EMA Ribbon
SuperTrend provides an ATR-based directional rail. The EMA ribbon checks whether fast, mid, slow, and base averages are stacked in directional order. Both must be read together with the zero-lag line.
3. Multi-Timeframe Relay Votes
Three higher-timeframe checks compare zero-lag and EMA structure using request.security() with lookahead off. The dashboard displays each vote and the total confluence score.
4. Prediction and Proximity Rails
The prediction engine creates upper/lower threshold rails around the trend anchor. Proximity warnings identify when price is near a key transition rail and may be close to a directional decision point.
5. Risk Ladder
When a relay signal appears, the script can draw a reward box, risk box, warning zone, entry, stop, and T1/T2/T3 rails. These are visual planning tools only.
Features
Zero-lag trend anchor: Responsive baseline for reclaim and rejection context
SuperTrend filter: ATR-based directional rail
EMA ribbon: Visual trend stack using multiple moving averages
Three HTF votes: Higher-timeframe confluence with lookahead off
Prediction rails: Upper/lower threshold bands around the zero-lag engine
Proximity warning: Highlights price near key trend rails
Risk ladder boxes: Draws risk, warning, reward, entry, stop, and T1/T2/T3 levels
Gradient candle tinting: Colors candles from confluence and trend state
Top-right dashboard: Shows local trend, ribbon, HTF votes, prediction, proximity, and ladder state
Confirmed-bar logic: Relay and ladder events use confirmed bars
Input Parameters
Trend Engine:
Source
Zero Lag Length
SuperTrend ATR Length
SuperTrend Factor
Ribbon Fast, Mid, Slow, and Base lengths
MTF and Risk:
Higher Timeframe 1, 2, and 3
Minimum Confluence Votes
Stop ATR Mult
Target ATR Mult
Show Risk Ladder
How to Use This Indicator
Step 1: Check confluence
Use the dashboard to see whether the local trend and higher timeframes agree.
Step 2: Read the ribbon
A clean stacked ribbon provides stronger trend context than a mixed ribbon.
Step 3: Watch proximity rails
Proximity warnings indicate price is near a transition threshold.
Step 4: Treat the ladder as a visual plan
The risk ladder maps possible risk and reward levels, but it does not execute trades or ensure outcomes.
Indicator Limitations
Higher-timeframe values can update during an unfinished higher-timeframe candle
Trend tools can lag during sharp reversals
Risk ladder levels are visual only
Sideways markets may generate mixed confluence readings
Originality Statement
Obsidian Trend Relay combines zero-lag trend anchoring, SuperTrend, EMA ribbon stacking, three higher-timeframe votes, prediction thresholds, proximity warnings, and managed risk ladders into one open-source Pine v6 trend relay. Its purpose is to organize trend alignment and risk visualization in one coherent chart layer.
Disclaimer
This script is for educational and informational use only. It is not financial advice or a promise of future results. Always use independent judgment and risk management.
-Made with passion by jackofalltrades
Indicator
Helios Institutional Synthesis Strategy [JOAT]Helios Institutional Synthesis Strategy
Introduction
Helios Institutional Synthesis Strategy is an open-source Pine v6 strategy that integrates regime detection, trend bias, VWAP location, premium/discount context, liquidity sweeps, volatility gating, structured ATR stops, target levels, trailing exits, time exits, and visual trade-zone boxes.
The strategy is designed as a realistic testing framework, not a performance promise. It uses confirmed-bar triggers, process-on-close order handling, commission, slippage, risk sizing, and daily risk guard logic. The default settings were made active enough to generate more samples across timeframes while still keeping basic risk controls in place.
Core Concepts
1. Regime and Trend Bias
An adaptive baseline, EMA momentum, DMI/ADX, and volatility score determine whether the market is bullish, bearish, or ranging. Long setups require bullish context, and short setups require bearish context unless other confluence factors compensate.
2. VWAP and Premium/Discount Context
The strategy compares price to session VWAP and to a rolling premium/discount range. This helps distinguish continuation entries from recovery or rejection setups.
3. Liquidity and Retest Triggers
Confirmed sweeps, daily level reclaims/rejections, VWAP bounces, baseline crosses, and channel reclaim/rejection logic can contribute to entries. This creates more than one path into a trade while still requiring a confluence score.
4. Volatility and Risk Gates
The strategy filters by volatility score, ATR percent of price, daily equity guard, and minimum planned R. These controls are included to avoid unbounded entries in abnormal conditions.
5. Structured Exits
Stops use ATR and recent key levels. Targets use ATR multiples. A trailing stop can tighten the exit as price moves, and a max-hold rule can close trades that remain open too long.
Default Strategy Properties
Initial capital: 100000
Commission: 0.01 percent
Slippage: 1 tick
Pyramiding: 0
Orders processed on close: true
calc_on_every_tick: false
Default risk per trade: 1.0 percent
Default minimum confluence score: 4 out of 8
Default cooldown: 4 bars
Default ATR stop multiple: 1.8
Default ATR target multiple: 2.8
Default trailing ATR multiple: 1.35
Default daily equity guard: 3 percent
Features
8-point confluence model: Combines regime, VWAP, premium/discount, momentum, volatility, sweeps, squeeze release, and HTF bias
Confirmed-bar entries: Long and short triggers use barstate.isconfirmed
HTF confirmation: Uses request.security() with lookahead off and previous higher-timeframe values
Risk-based sizing: Calculates quantity from equity, stop distance, and risk percentage
ATR stop and target: Structured stop/target logic with optional trailing behavior
Daily guard: Blocks new trades after a configured intraday equity drawdown threshold
Max-hold exit: Closes positions that exceed the configured bar count
Trade-zone boxes: Shows reward/risk boxes on the chart
Right-side risk rails: Labels active entry, stop, target, and R:R
Dashboard: Shows regime, position, confluence, risk gate, setup, volatility, VWAP sigma, liquidity, HTF bias, PD state, session, day guard, hold bars, stops, and key levels
Input Parameters
Core Engine:
Adaptive Baseline Length
Efficiency Lookback
ATR Length
ADX / DMI Length
Institutional Anchor Length
Confirmation Timeframe
Filters:
Enable Longs and Enable Shorts
Restrict to Session
Min Confluence Score
Cooldown Bars
Volatility score bounds
Risk Controls:
Risk percent per trade
ATR stop, target, and trailing multiples
Minimum planned R multiple
Max ATR percent of price
Daily equity guard percent
Max hold bars
How to Use This Strategy
Step 1: Start with a private draft
Before publishing results, test the strategy privately and verify the chart, settings, and description.
Step 2: Use realistic costs
The script defaults to 0.01 percent commission and 1 tick slippage. Adjust them to match the market being tested.
Step 3: Check sample size
Use enough historical data to evaluate whether the strategy has a meaningful number of trades. Avoid drawing conclusions from a small sample.
Step 4: Review the dashboard
The dashboard shows whether a blocked trade is caused by risk, volatility, session, confluence, or daily guard logic.
Strategy Limitations
Backtests are hypothetical and do not ensure future results
Performance can vary significantly by symbol, session, timeframe, and cost settings
The strategy may trade frequently on lower timeframes; costs and slippage matter
HTF confirmation uses non-lookahead requests, but higher-timeframe context can still evolve while a higher-timeframe bar is unfinished
Risk controls reduce some bad conditions but cannot remove market risk
Originality Statement
Helios Institutional Synthesis Strategy combines adaptive regime detection, VWAP sigma location, premium/discount context, liquidity sweep triggers, squeeze state, higher-timeframe confirmation, risk-based sizing, ATR exits, daily guard logic, time exits, and visual trade-zone mapping in one open-source Pine v6 strategy. Its purpose is to test a multi-factor decision process with transparent components rather than present a black-box signal system.
Disclaimer
This strategy is for educational and informational use only. It is not financial advice, and backtested results do not ensure future performance. Trading involves substantial risk of loss. Always test with realistic commissions, slippage, and position sizing before making any decision.
-Made with passion by jackofalltrades
Strategy
Helios Volatility Atlas [JOAT]Helios Volatility Atlas
Introduction
Helios Volatility Atlas is an open-source regime and volatility mapping indicator. It combines an adaptive baseline, DMI/ADX trend strength, volatility scoring, VWAP sigma bands, premium/discount structure, squeeze detection, retest zones, right-side level rails, and a top-right dashboard.
The problem Helios addresses is market context. A trend signal means something different in compression than it does during expansion. A retest means something different near discount than it does at an outer volatility channel. Helios brings those layers into one chart so users can interpret price action with regime, volatility, and location in view.
Core Concepts
1. Adaptive Baseline
The baseline blends an EMA-style trend component with an efficiency-ratio adaptive component. When price moves efficiently, the adaptive side reacts more. During choppy movement, the baseline becomes slower and more stable.
2. Volatility Score
ATR is compared against its own moving average and standard deviation. The result is normalized into a 0-100 volatility score so the dashboard can distinguish low, moderate, and high volatility states.
3. Institutional Channels
Helios draws a channel around a mean using ATR-based distances. Inner channels describe normal volatility, while outer pockets mark more extended price areas where reversion or continuation context may matter.
4. Squeeze and Expansion State
The squeeze model compares a Bollinger-style width against a Keltner-style width. When compression releases, the chart highlights a transition from low-energy conditions into expansion.
5. Retest Zones and Rails
Confirmed retests can create projected zones. Right-side rails label important live references such as baseline, VWAP, channels, premium/discount levels, and previous day levels.
Features
Adaptive baseline: Blends trend-following and efficiency-aware smoothing
Volatility score: Converts ATR expansion/compression into a dashboard value
Trend cloud: Fills the space between baseline and VWAP
VWAP sigma bands: Shows price stretch around VWAP
Premium/discount map: Uses a rolling anchor range with equilibrium, discount, and premium levels
Squeeze detection: Highlights compression and release states
Retest zones: Projects confirmed bullish and bearish retest areas
Right-side rails: Labels baseline, VWAP, channels, premium/discount, and day levels
Theme presets: Includes Helios, Consensus Aqua, Sentinel Neon, and Cobalt Risk color families
Top-right dashboard: Shows regime, bias, volatility, squeeze, channel, VWAP sigma, price state, and key levels
Input Parameters
Core Engine:
Adaptive Baseline Length
Efficiency Lookback
ATR Length
ADX / DMI Length
Volatility Window
Volatility System:
Channel Memory
Base Channel ATR Multiple
Outer Channel ATR Multiple
Squeeze Length
Squeeze BB and KC multipliers
Display:
Show Trend Cloud
Show VWAP Sigma Bands
Show Retest Zones
Show Right-Side Level Rails
Theme Preset
Dashboard Text Size
How to Use This Indicator
Step 1: Read the regime
The dashboard classifies the current state as bullish, bearish, expansion, or range.
Step 2: Check volatility
Use the volatility score and squeeze row to decide whether the market is compressed or expanding.
Step 3: Compare price to VWAP and channels
VWAP sigma and ATR channels show whether price is near value, stretched, or reverting from an outer area.
Step 4: Use retest zones as context
Retest zones mark recent confirmed reactions. They are contextual levels, not automatic entries.
Indicator Limitations
Adaptive baselines can lag during sudden reversals
Squeeze release does not define direction by itself
Retest zones can fail in strong momentum conditions
Higher volatility symbols may require adjusted ATR/channel settings
Originality Statement
Helios Volatility Atlas combines adaptive trend state, DMI/ADX confirmation, ATR volatility scoring, VWAP sigma distance, squeeze detection, premium/discount location, projected retest zones, and right-edge rails into a single open-source Pine v6 regime atlas. The components are designed to work as one context engine, not as a loose mashup.
Disclaimer
This script is for educational and informational use only. It is not financial advice and does not predict future price direction. Use independent analysis and risk management.
-Made with passion by jackofalltrades
Indicator
Cobalt Session Ledger [JOAT]Cobalt Session Ledger
Introduction
Cobalt Session Ledger is an open-source intraday context indicator focused on session VWAP, synthetic volume delta, liquidity sweeps, absorption, and managed visual trade mapping. It is designed to help users read whether current price action is extending, reverting, sweeping liquidity, or building pressure around the active session's value area.
The script uses a modern dark chart style with cyan, teal, red, amber, and violet accents. It includes VWAP sigma bands, session CVD, sweep and absorption markers, candle coloring, reward/risk boxes, right-side entry/stop/target labels, and a top-right dashboard.
Core Concepts
1. Session VWAP and Sigma Bands
The session engine accumulates price-volume data during the configured session and computes VWAP. It also derives deviation bands around VWAP so price can be evaluated in sigma terms rather than raw distance.
// Conceptual summary
// VWAP = cumulative price * volume / cumulative volume
// sigma bands = VWAP +/- session deviation multiples
2. Synthetic Delta and Session CVD
Because PulseWire symbols often lack true bid/ask delta, the script estimates directional pressure from candle body position, close position, range, and volume. That value is accumulated into a session CVD line and smoothed for dashboard and signal context.
3. Liquidity Sweep Detection
Confirmed sweeps occur when price probes beyond a recent swing high or low and closes back through it with directional rejection. These events are shown with clean square/circle markers rather than arrows.
4. Absorption and Wick Skew
Absorption combines volume expansion, compact candle range, and close location. Wick skew helps describe whether rejection is occurring from the upper or lower side of the candle.
5. Managed Ledger Map
When a confirmed ledger signal appears, the indicator can draw a reward zone, risk zone, entry line, stop line, and T1/T2/T3 targets at the right edge. These are visual planning aids, not executed orders.
Features
Session VWAP engine: Uses the configured session and timezone
VWAP sigma rails: Displays inner and outer VWAP deviation shells
Session CVD: Tracks synthetic volume pressure during the session
Liquidity sweeps: Detects confirmed reclaim/rejection events around recent pivots
Absorption markers: Highlights volume compression and close-location absorption
Confidence scoring: Combines VWAP, delta, structure, absorption, volume, and session context
Managed trade map: Draws entry, stop, T1, T2, T3, reward box, and risk box
Candle tinting: Colors bars based on confidence and directional pressure
Top-right dashboard: Shows VWAP, CVD, delta, liquidity, confidence, sigma, entry, targets, and session range
Confirmed-bar signals: Ledger signals are gated with barstate.isconfirmed
Input Parameters
Session:
Session Window
Session Timezone
Liquidity and Absorption:
Liquidity Pivot Length
Volume Spike Multiplier
Absorption Range Ceiling
Bull/Bear Absorption Close Bias
Trade Map:
Show Managed Trade Map
Show Right-Side Price Labels
Trade Box Projection Bars
Target 1, 2, and 3 R multiples
Signal Cooldown Bars
How to Use This Indicator
Step 1: Start with VWAP
Read whether price is above, below, or stretched from session VWAP.
Step 2: Confirm pressure
Use the CVD and delta rows to determine whether volume pressure supports the price location.
Step 3: Watch sweeps and absorption
Sweep and absorption events can mark potential exhaustion or reclaim zones.
Step 4: Treat trade boxes as planning overlays
The ledger box gives a structured visual reference for risk and reward. It does not ensure that the market will reach any level.
Indicator Limitations
Synthetic delta is an estimate, not true exchange bid/ask delta
Signals are session-context tools, not automatic trade instructions
Quiet symbols and low-volume sessions can reduce signal quality
The managed trade map is visual only
Originality Statement
Cobalt Session Ledger combines session VWAP sigma analysis, synthetic CVD, sweep/reclaim logic, absorption detection, wick skew, confidence scoring, candle tinting, and managed visual trade mapping into a single open-source Pine v6 session tool. The components work together to classify session pressure and price location rather than act as unrelated overlays.
Disclaimer
This script is for educational and informational use only. It is not financial advice or a recommendation to buy or sell any instrument. Trading involves risk, and historical context does not ensure future behavior.
-Made with passion by jackofalltrades
Indicator
Aurelian Consensus Bands [JOAT]Aurelian Consensus Bands
Introduction
Aurelian Consensus Bands is an open-source price consensus map built around a log-volume profile, dynamic consensus bands, VWAP context, and confirmed-bar signal logic. It is designed to answer a specific question: where is price trading relative to the market's recent volume-weighted agreement zone, and is that move supported by session pressure?
The script plots VPOC, consensus area, boundary bands, session VWAP deviation shells, a dynamic volume node, right-side price rails, managed signal boxes, candle coloring, and a compact top-right dashboard. Its goal is not to predict the future. It provides a structured chart layer for reading acceptance, rejection, and directional pressure around consensus levels.
Core Concepts
1. Log-Volume Consensus Profile
The script builds a rolling profile on a logarithmic price canvas. Recent bars contribute volume across high-low rows, with recency weighting applied before the profile is converted into levels. This reduces sensitivity to one-off spikes while preserving important volume clusters.
// Conceptual summary
// volume is distributed across log-price rows
// rows are then analyzed for VPOC, mean, and stdev bands
2. VPOC, CA, and Boundary Band
The engine extracts a volume point of control, consensus area high/low, and wider boundary bands. The midpoint of the consensus area and the VPOC can be blended into the active anchor. Price displacement from that anchor is normalized so the indicator can classify whether price is inside, above, or below the agreement zone.
3. Dual-Anchor Coherence
Aurelian compares the VPOC view and consensus-area midpoint view. Signals are only stronger when both views agree. If the two anchors conflict, the coherence score falls and the dashboard shows weaker context.
4. VWAP and Session Pressure
The script adds session VWAP, VWAP deviation shells, synthetic delta pressure, and a dynamic volume node. Qualified signals require more than a simple cross; they also consider whether VWAP and pressure agree with the band event.
5. Right-Side Price Rails and Signal Box
The current VPOC, anchor, consensus levels, VWAP, and dynamic node are projected to the right edge with price labels. Qualified signals can also create a managed visual box with entry, stop, T1, and T2 levels based on ATR and planned R multiples.
Features
Rolling log-volume profile: Builds VPOC, consensus area, and boundary bands from recent price-volume structure
Dual-anchor coherence filter: Compares VPOC and consensus midpoint before qualifying signals
VWAP deviation shells: Adds session VWAP context and upper/lower deviation bands
Dynamic volume node: Tracks a lighter-weight volume anchor for current conditions
Candle color blending: Colors bars using consensus direction and institutional context strength
Qualified signal markers: Uses clean dots/squares rather than arrows or retail-style markers
Managed signal box: Projects entry, stop, T1, and T2 for visual planning only
Right-side rails: Labels VPOC, anchor, CA high/low, VWAP, and node prices at the chart edge
Top-right dashboard: Shows mode, bias, coherence, score, VWAP state, delta, node, quality, and state
Confirmed-bar logic: Main signal events are gated on confirmed bars
Input Parameters
Profile Core:
Profile Rows controls profile resolution
Profile Lookback controls how much recent history is used
Recency Weight Span controls how quickly old bars lose influence
Profile Smooth controls smoothing on extracted levels
Context and Rails:
Show Session VWAP and VWAP Deviation Shells
Show Dynamic Volume Node
Show Right-Side Price Rails
Show Managed Signal Box
Signal Stop ATR Mult and Target R settings
How to Use This Indicator
Step 1: Read the anchor
Use the VPOC and consensus anchor to understand where the market's recent agreement zone sits.
Step 2: Check coherence
Higher coherence means the VPOC and consensus midpoint agree. Lower coherence suggests mixed structure.
Step 3: Watch VWAP and node context
Signals carry more context when price, VWAP, delta, and the dynamic node point in the same direction.
Step 4: Use right-side rails
The rails provide forward reference levels for continuation, rejection, or mean reversion planning.
Indicator Limitations
The profile depends on the selected lookback and row resolution
Signals are contextual, not standalone trade recommendations
Very low volume symbols may produce less reliable profile and delta readings
Confirmed-bar logic means signals appear after the bar closes, not before
Originality Statement
Aurelian combines a rolling log-volume consensus profile, dual-anchor coherence, session VWAP deviation context, synthetic pressure, dynamic node tracking, right-edge rails, and managed visual signal boxes in one open-source Pine v6 tool. The purpose is not to merge unrelated indicators, but to create a single acceptance/rejection framework around volume agreement and session context.
Disclaimer
This script is for educational and informational use only. It is not financial advice and does not ensure any trading outcome. Market behavior is uncertain, and all signals should be evaluated with risk management and independent judgment.
-Made with passion by jackofalltrades
Indicator
Volume Participation Curve [JOAT]Volume Participation Curve
Introduction
VPC Volume Participation Curve is an open-source volume seasonality indicator that compares current volume against historical participation for the same time bucket. It helps answer a simple but important question: is current activity meaningful compared with what usually happens at this time?
Instead of treating all volume bars equally, VPC builds recurring buckets by minute, hour, day, or month, then compares live volume against the expected bucket value. It also tracks session pace so traders can see whether the session is leading or lagging expected participation.
Core Concepts
1. Time-Bucketed Expected Volume
The indicator builds historical volume samples by time bucket. Auto mode chooses practical buckets based on the chart timeframe.
2. Median or Mean Summary
Expected volume can be calculated by median or mean. Median is the default because it is more robust against abnormal spikes.
3. Participation Ratio
The main curve is current smoothed volume divided by expected volume. A value above 1.0 means current activity is above expectation.
4. Session Pace
Session cumulative volume is compared with cumulative expected volume to determine whether the whole session is leading or lagging.
5. Regime Bands
Expansion and compression thresholds are shown as clean bands around the 1.0 baseline.
Features
Expected volume engine: Learns recurring volume behavior from historical buckets
Participation curve: Displays current volume relative to expected activity
Session pace curve: Shows whether cumulative session activity is ahead or behind
Expansion and compression bands: Identifies above-expected or below-expected participation
Dark-mode fills: Uses restrained green/red/neutral blends
Top-right dashboard: Shows bucket, participation, pace, surprise, growth, state, and sample count
Confirmed alerts: Includes expansion, compression, pace lead, and pace lag alerts
Input Parameters
Seasonality:
Historical Samples per Bucket
Bucket Mode: Auto, Minute, Hour, Day, or Month
Expected Value: Median or Mean
Curve:
Volume Smoothing
Session Pace Window
Visual:
Show Regime Bands
Show Pace Curve
Color Background
How to Use
Step 1: Read the participation curve relative to the 1.0 baseline.
Step 2: Treat readings above 1.2 as expansion context and readings below 0.8 as compression context.
Step 3: Confirm whether session pace agrees with the current bar's participation.
Step 4: Use the output as a participation filter for breakout, continuation, or reversal tools.
Limitations
New symbols or sparse histories may need time to build useful bucket samples
Unusual news or event-driven sessions can distort expected-volume comparisons
Volume reporting differs by asset class and exchange
This indicator does not predict direction; it measures participation context
Originality Statement
VPC is an original JOAT volume model combining time-bucketed expected volume, session pace, expansion/compression bands, and confirmed alerts in a Pine Script v6 pane indicator.
Disclaimer
This script is for educational and informational purposes only. It is not financial advice and does not guarantee future results. Trading involves risk, and users should apply their own risk management.
Made with passion by jackofalltrades
Indicator
Trend Energy Divergence [JOAT]Trend Energy Divergence
Introduction
TED Trend Energy Divergence is an open-source oscillator that measures trend energy from EMA spread, linear-regression slope, projected support/resistance pressure, confirmed structure, and pivot divergence.
The indicator is built for trend-quality context. It shows whether the current move has internal energy, whether structure agrees with that energy, and whether confirmed divergence is appearing against it.
Core Concepts
1. Normalized EMA Spread
Fast and slow EMA spread is normalized by ATR so the oscillator adapts across symbols and timeframes.
2. Slope Pressure
Linear-regression slope contributes directional pressure to the energy model.
3. Projected Support and Resistance
Confirmed pivots build simple projected support and resistance references. Closing beyond those projections adds break pressure.
4. Confirmed Divergence
Pivot highs and lows are compared with oscillator values at the pivot offset to identify bullish or bearish divergence.
5. Energy Signal Line
Trend energy is smoothed and compared with a signal line to show positive or negative shifts.
Features
ATR-normalized energy: Adapts the oscillator to volatility
EMA and slope model: Blends trend spread and regression pressure
Structure-aware pressure: Adds support/resistance break pressure
Confirmed divergence: Uses confirmed pivots and offset oscillator values
Regime dashboard: Shows trend, expansion, or balance context
Projected levels: Displays pane-level support and resistance projections
Alerts: Includes bull shift, bear shift, and divergence confirmations
Input Parameters
Trend Engine:
Fast EMA
Slow EMA
Signal Smoothing
Energy Smoothing
ATR Length
Slope Length
Structure:
Pivot Left and Pivot Right
Structure Lookback
ADX/DMI Trend Threshold
How to Use
Step 1: Read the oscillator relative to the zero line and signal line.
Step 2: Treat upper/lower confirmation bands as higher-conviction energy zones.
Step 3: Watch divergence states as early warnings that the current move may be losing quality.
Step 4: Use the dashboard to confirm whether the environment is Trend, Expansion, or Balance.
Limitations
Divergence confirms after pivots confirm, so it is intentionally delayed
Oscillators can remain extended during strong trends
Projected support/resistance is model-based, not a guaranteed reaction point
The indicator is not a complete trade management system
Originality Statement
TED is an original JOAT oscillator combining ATR-normalized trend spread, slope, projected structure pressure, and confirmed divergence into one Pine Script v6 energy model.
Disclaimer
This script is for educational and informational purposes only. It is not financial advice and does not guarantee future results. Trading involves risk, and users should apply their own risk management.
Made with passion by jackofalltrades
Indicator
Structure Delivery Radar [JOAT]Structure Delivery Radar
Introduction
SDR Structure Delivery Radar is an open-source market structure overlay that classifies short-term, intermediate-term, and long-term delivery using confirmed pivots, break events, sweep events, session position, and ATR compression.
The indicator is designed as a structural context layer. It does not try to predict every candle. Instead, it tracks whether price is delivering through meaningful structure levels and whether multiple structure tiers are aligned.
Core Concepts
1. Three-Tier Structure
The script tracks ST, IT, and LT swing highs and lows from confirmed pivots. Each tier keeps its own bias state.
2. Confirmed Breaks
A bullish break requires a confirmed close above the tracked swing high. A bearish break requires a confirmed close below the tracked swing low.
3. Sweep Detection
The script recognizes when price trades beyond a swing level but closes back through it, marking potential liquidity behavior without using future bars.
4. Delivery Score
The dashboard score blends structure alignment, break activity, sweep activity, session location, and ATR compression into a 0-100 reading.
5. Clean Structure Cloud
The visual output uses transparent clouds and dashboard states rather than cluttered arrows or excessive labels.
Features
ST/IT/LT structure tracking: Three independent confirmed-pivot layers
Break and sweep logic: Official events require confirmed bars
Delivery score: Quantifies structure alignment and current delivery state
Session cloud: Adds session range context
Structure cloud: Shades the active upper/lower structure region
Top-right dashboard: Shows tier bias, events, ranges, compression, ATR, and signal state
Alerts: Includes bullish and bearish delivery confirmations
Input Parameters
Structure:
ST Pivot Length
IT Pivot Length
LT Pivot Length
ATR Length
Session and Visuals:
Use Session Window
Show Session Cloud
Show Structure Cloud
Show Bias Tint
Cloud and background transparency
How to Use
Step 1: Check whether the dashboard shows BULL, BEAR, or NEUT for the dominant structure state.
Step 2: Read the delivery score. Higher scores indicate stronger alignment across the internal model.
Step 3: Treat sweep events as context for failed breaks or liquidity reactions.
Step 4: Use the structure cloud as a map of active structural boundaries.
Limitations
Pivot-based structure confirms after the pivot length has passed
The score is a context reading, not a guarantee of trade outcome
Compressed markets can delay structure continuation
The script should be combined with risk management and execution rules
Originality Statement
SDR is an original JOAT implementation combining multi-tier confirmed structure, sweep recognition, session context, ATR compression, and a delivery score into one Pine Script v6 overlay.
Disclaimer
This script is for educational and informational purposes only. It is not financial advice and does not guarantee future results. Trading involves risk, and users should apply their own risk management.
Made with passion by jackofalltrades
Indicator
Session Liquidity Atlas [JOAT]Session Liquidity Atlas
Introduction
SLA Session Liquidity Atlas is an open-source session context indicator built to map the active trading session, opening range, prior-session liquidity, confirmed sweeps, and confirmed opening-range breaks in one clean overlay.
The problem it solves is session context. A breakout above the opening range means something different when the prior-session high was just swept, when the session range is compressed, or when price is still trapped inside the opening band. SLA organizes those reference points into a readable liquidity atlas with a top-right dashboard and restrained dark-mode chart shading.
Core Concepts
1. Active Session Range
The indicator tracks the selected session's open, high, low, close, bar count, and live range. The session band updates during the active window and freezes naturally when the session ends.
2. Opening Range
The opening range is built from the first configurable number of session minutes. Confirmed closes above or below the opening range define bullish or bearish break events.
3. Prior-Session Liquidity
Prior-session high and low are projected forward as liquidity reference levels. A sweep is confirmed only when price trades through a prior level but closes back inside it on a confirmed bar.
4. Confirmed Bias State
Bias updates from opening-range breaks and mature sweep states. All official events use confirmed bars, avoiding realtime-only signals being mistaken for final signals.
5. Visual System
The overlay uses transparent session bands, opening-range shading, prior-session reference lines, and a compact dashboard. No arrows or retail-style marker clutter are used.
Features
Session range band: Tracks live high and low of the selected session
Opening range band: Displays the early-session decision range
Prior-session liquidity levels: Projects prior high and low as reference lines
Confirmed sweep detection: Detects high/low sweeps only after bar close
Confirmed opening-range breaks: Break events require closed-bar confirmation
Bias tinting: Background gently reflects current bullish, bearish, or neutral state
Top-right dashboard: Shows session status, bias, sweep state, breakout state, range, OR/session ratio, and body balance
Alert conditions: Includes confirmed alerts for sweeps and opening-range breaks
Input Parameters
Session:
Primary Session: Session window used by the atlas
Opening Range Minutes: Number of minutes used to build the opening range
Sweep Hold Bars: Bars required before a sweep state matures into bias context
Visual:
Show Session Band
Show Opening Range Band
Show Prior Session Liquidity
Tint Background On Bias
Line Width and transparency controls
How to Use
Step 1: Read the dashboard bias and session status.
Step 2: Watch whether price is inside or outside the opening range.
Step 3: Treat prior-session high and low as liquidity reference levels, not guaranteed reversal points.
Step 4: Use confirmed sweeps and confirmed opening-range breaks as context for another entry model or discretionary plan.
Limitations
Opening-range logic depends on the selected session and chart timeframe
A sweep can fail and continue beyond the prior level
The indicator is a context layer, not a complete trading system
Signals confirm only after the bar closes, so they intentionally appear after the event candle is complete
Originality Statement
SLA is an original JOAT implementation combining session range logic, prior-session liquidity sweeps, opening-range breaks, and a compact state dashboard into one transformed Pine Script v6 overlay. It is not a copy of any source script.
Disclaimer
This script is for educational and informational purposes only. It is not financial advice and does not guarantee future results. Trading involves risk, and users should apply their own risk management.
Made with passion by jackofalltrades
Indicator
Apex Volatility Flow [Pineify]Apex Volatility Flow ATR Chandelier Oscillator
Apex Volatility Flow converts ATR-based Chandelier behavior into a normalized 0-100 oscillator. It tracks flow above or below 50, and marks ATR contraction when volatility falls below a longer baseline.
Key Features
Chandelier-style direction logic using extremes and ATR distance.
Bullish/bearish oscillator coloring around the 50-line bias filter.
Squeeze dots and alerts for compression and flow crosses.
How It Works
The script begins with Average True Range . A long reference uses recent highs minus ATR times the multiplier, while a short reference uses recent lows plus ATR times the multiplier. The anchors blend close-based and wick extremes to reduce one-bar distortion.
A close above the short reference is bullish; a close below the long reference is bearish.
The active level is tracked, then its range resets when direction changes.
The active level is normalized, smoothed with an SMA, and compared with 50.
A squeeze appears when ATR is below 80% of a longer ATR baseline.
How the Components Work Together
The Chandelier logic supplies trend context, while the oscillator scale helps compare charts. Squeeze dots stay separate because compression can break either way; read them with flow crosses, 50-line retests, and price structure.
Trading Ideas and Insights
Bullish continuation may be worth studying when flow holds above 50 and compression releases.
Bearish crosses below 50 can whipsaw in strong uptrends; follow-through matters.
During extended squeezes, confirm direction with structure, volume, or higher-timeframe trend.
Unique Aspects
It turns Chandelier-style stops into a compact oscillator instead of a price overlay.
Normalization resets on direction changes, avoiding stale values from the prior move.
How to Use
Add the indicator to a liquid market and timeframe.
Use 50 as the main bullish/bearish flow reference.
Treat squeeze dots as compression context, not standalone entries.
Use the built-in alert conditions for crosses or squeeze events.
Customization
Volatility Length (default: 22) - Controls ATR and anchors. Higher values smooth but react later.
ATR Multiplier (default: 3.0) - Sets stop distance. Higher values reduce flips but delay regime changes.
Oscillator Smoothing (default: 4) - Smooths the output. Higher values reduce noise but add lag.
Colors - Adjust bullish, bearish, and squeeze marker colors.
Conclusion
Apex Volatility Flow is for traders who want ATR and Chandelier-style context in one oscillator pane. It can help organize flow bias and compression, but should be combined with structure and risk management. It uses no higher-timeframe security calls; live-bar values may still change before close.
Indicator
