Scam or Slam - Day Trading Rauf Strategy**Scam or Slam - Day Trading Rauf Strategy**
This strategy is part of the Scam or Slam testing series, where publicly shared trading models are converted into mechanical PulseWire strategies and stress-tested through backtesting.
This script is based on the Day Trading Rauf time-based range sweep model.
The core idea is simple:
1. Build the London time-based range from 01:12 to 02:12 New York time.
2. Build the New York time-based range from 08:12 to 09:12 New York time.
3. Wait for price to sweep one side of the range.
4. Look for a reversal confirmation.
5. Enter back toward the opposite side of the range.
Default entry confirmation uses the 3-candle reversal model:
* After a range low sweep, wait for 3 consecutive bearish candles.
* Enter long when price closes back above that 3-candle sequence.
* After a range high sweep, wait for 3 consecutive bullish candles.
* Enter short when price closes back below that 3-candle sequence.
The strategy includes:
* London and New York range toggles
* 3 Candle Reversal, CHoCH, IFVG, and Any Confirmation entry modes
* Sweep extreme stop loss logic
* Opposite side of range take profit logic
* Fixed R:R and fixed point target options
* Backtest synced entry markers
* Manual entry, stop loss, and take profit lines
* Forced close time
* One-trade-per-range logic
* Margin-call prevention for cleaner futures backtesting
This is designed for research and educational backtesting only. It is not financial advice and does not guarantee profitability. Always test the strategy across different market conditions, instruments, sessions, and data samples before using any trading model live.
Strategy
[ A L P H A X ] PRISM - Adaptive Dual-Kernel Flow EngineAlphaX PRISM — Adaptive Dual-Kernel Flow Engine: Nadaraya-Watson Kernel Regression, Residual Band System, Pivot Divergence Detection, Z-Score Fade & 4-Setup Regime-Gated Confluence Engine
AlphaX PRISM is a professional-grade adaptive trend and mean-reversion system built on a mathematically distinct foundation from every other indicator in the AlphaX suite. Where VECTOR uses an Efficiency Ratio and Choppiness Index to classify regimes and a KAMA line as the trend reference, PRISM applies non-parametric kernel regression — specifically a Nadaraya-Watson weighted estimate — to compute a statistically optimal smooth estimate of the price process itself. The result is not a moving average in the traditional sense. It is a regression estimate that weights each historical price observation by its distance from the present using a configurable kernel function, producing a slow kernel (primary trend estimate) and a fast kernel (momentum layer) whose spread creates a real-time directional bias measure fundamentally different from EMA crossover systems. Residual bands built from the standard deviation of price minus the kernel estimate — not from the kernel itself — provide statistically grounded dynamic envelopes that scale with actual price noise rather than arbitrary ATR multiples. Four regime-gated setup types — Trend Flow Break, Kernel Pullback, Z-Score Fade, and Pivot Divergence Reversal — fire through a 7-layer confluence engine that checks both kernel-specific signals and macro filter alignment simultaneously. Designed for traders who want institutional-grade statistical price modeling applied to practical signal generation across crypto, forex, gold, and indices on any timeframe.
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🔬 The Kernel Engine — Nadaraya-Watson Regression
The foundational difference between PRISM and every other AlphaX indicator is the core price estimate. All other systems use variants of exponential or adaptive moving averages — weighted sums of past prices with exponentially decaying weights. PRISM uses a Nadaraya-Watson kernel estimator — a non-parametric regression technique that estimates the true underlying price process at any point as a kernel-weighted average of all observations in the lookback window.
What kernel regression actually does:
Standard moving averages assign weights by time elapsed — more recent bars get more weight, older bars get less, following an exponential decay curve. The NW estimator assigns weights by position — how many bars ago a price occurred relative to the current bar — using a smooth, symmetric kernel function. This produces an estimate that minimizes the squared distance between the estimate and all observed prices, weighted by position.
Why this produces a superior trend estimate: A kernel regression estimate adapts its response to the local density of price observations rather than following a fixed mathematical formula. In fast-moving price environments with large bar movements, the kernel naturally places more emphasis on nearby bars. In slow, thin environments, older observations carry more proportional weight. The result is an estimate that is simultaneously smoother than an EMA of the same effective period and more structurally faithful to the underlying price movement.
Three kernel types available:
Gaussian (default):
Uses the normal distribution probability density function as the weight function. Weights decay as a bell curve — bars near the center of the lookback carry the most weight, tailing off smoothly toward zero at the edges. The Gaussian kernel produces the smoothest estimate and is optimal for normally distributed price noise. It never fully zeroes out any observation in the window.
Epanechnikov:
A parabolic weight function — (1 - (i/h)²) — that reaches exactly zero at the bandwidth boundary. More computationally efficient than Gaussian and optimal in a mean-squared-error sense under certain assumptions. Produces a slightly sharper response to local price movements than Gaussian.
Tricube:
The weight function used in LOESS regression — (1 - |i/h|³)³. A smooth, zero-bounded kernel that falls off more steeply than Gaussian near the boundary, producing an estimate that is highly responsive to recent prices while cleanly ignoring anything beyond the bandwidth boundary.
The kernel type is selectable from settings. For most instruments and timeframes, Gaussian is recommended for its smoothness. Epanechnikov or Tricube may be preferable when faster response to recent price action is desired.
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⚙ Adaptive Bandwidth — Scaling With Volatility
The bandwidth parameter h controls the effective "window width" of the kernel — how many observations contribute meaningfully to each estimate. Larger h = smoother, slower response. Smaller h = more reactive, noisier.
The fixed bandwidth problem: A bandwidth calibrated for a low-volatility environment is too reactive during high-volatility periods, producing noisy, whipsawing estimates. A bandwidth calibrated for high-volatility is too slow during quiet periods, lagging price movements significantly.
PRISM's adaptive bandwidth solution:
When Adaptive Bandwidth is enabled (default: on), the effective bandwidth is scaled by the current ATR's percentile rank relative to its own history over the configured lookback (default: 100 bars). The scaling formula produces:
Low ATR percentile (quiet market) — bandwidth scales down toward the Adaptive Min Scale (default: 0.80). The kernel becomes more responsive, tracking the slower price movement more closely
High ATR percentile (volatile market) — bandwidth scales up toward the Adaptive Max Scale (default: 1.25). The kernel becomes smoother, filtering out the larger noise inherent in high-volatility conditions
Bandwidth shift alert: When the effective bandwidth changes by 12% or more from the previous bar, a bandwidth shift event is detected and flagged on the dashboard. This indicates a significant volatility regime transition — the adaptive system is meaningfully adjusting its estimate parameters, which is itself information about the market's current character.
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⚡ Dual-Kernel Architecture — Slow and Fast Estimates
PRISM runs two kernel estimates simultaneously, each with a different effective bandwidth:
Slow Kernel (Primary Estimate):
The primary trend estimate computed at the full adaptive bandwidth. This is the principal signal line — the statistically optimal estimate of the underlying price trend. The residual bands are built relative to the slow kernel. The pullback setup watches price return to the slow kernel. The slow kernel is plotted as a purple line in Bands and Line visual modes.
Fast Kernel (Momentum Layer):
A second kernel estimate computed at a fraction of the slow kernel's bandwidth (default: 0.55× the slow bandwidth). This produces a more reactive estimate that leads the slow kernel during momentum shifts. The fast kernel's proximity to or divergence from the slow kernel creates the Kernel Spread — the primary directional bias indicator in PRISM.
Kernel Spread:
`Kernel Spread = Fast Kernel − Slow Kernel`
When positive and growing (spreadBull): the fast kernel is above the slow kernel and the gap is widening — upward momentum is accelerating.
When negative and falling (spreadBear): the fast kernel is below and the gap is widening downward — bearish momentum is accelerating.
When near zero: the two estimates have converged — no directional momentum bias is present.
The spread is displayed on the dashboard with a + or - sign and colored by its directional state. It is a prerequisite for Setups A and B — trend-following entries only fire when the spread confirms the signal direction.
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📊 Residual Bands — Statistically Grounded Envelopes
The residual bands in PRISM are fundamentally different from standard Bollinger Bands or ATR bands. They are built from the residuals — the differences between actual price and the slow kernel estimate — not from the price series itself.
Residual = Close − Slow Kernel
The standard deviation of these residuals over the band lookback period (default: 24 bars) gives sigma — the statistically appropriate measure of how much price typically deviates from the kernel estimate. The bands are then:
Upper Band = Slow Kernel + (Band Multiplier × σ)
Lower Band = Slow Kernel − (Band Multiplier × σ)
Why residual-based bands are superior: Bollinger Bands are built from the standard deviation of price itself — which includes both the trend component and the noise component. In a strongly trending market, most of the "deviation" in Bollinger Bands is actually trend — the bands widen dramatically and the upper/lower band crossings lose their mean-reversion significance. PRISM's residual bands remove the trend component first and only measure the standard deviation of the remaining noise. This means the bands genuinely represent deviation from the estimated price trend, not deviation from a lagging average.
Z-Score:
The current residual divided by sigma: `Z-Score = Residual / σ`. A Z-Score of +1.35 means price is currently 1.35 standard deviations above the kernel estimate — more than one standard deviation above expected. This is the metric that gates Setup C (Z-Score Fade) — a configurable minimum Z-Score is required before a mean-reversion fade signal can fire.
σ Width:
The current sigma value is displayed on the dashboard — a real-time measure of the current price noise level relative to the kernel estimate. Rising sigma indicates price is deviating increasingly from the kernel trend, falling sigma indicates price is tightening around the kernel.
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📈 Regime Classification — Two-Metric System
PRISM uses two independent measurements to determine the current regime, augmented by the kernel spread itself.
Efficiency Ratio (ER):
Identical to the VECTOR implementation — net directional price change divided by total path traveled over the lookback period. High ER = efficient directional movement = trending. Low ER = inefficient oscillation = choppy or ranging.
Choppiness Index (CI):
The logarithmic measure of how efficiently the period's ATR sum is packed into the high-low range. Above the configured threshold (default: 61.0) = stand aside (CHOP regime), blocking all signals.
Kernel Spread as regime filter:
For PRISM's Trend regime classification, the kernel spread must also exceed a minimum threshold (0.15× sigma) to distinguish genuine momentum bias from flat spread near zero. This prevents Trend regime classification when the two kernels have converged — a state that typically precedes a direction change rather than a trend continuation.
Four regimes:
CHOP (0) — CI above threshold. All signals blocked. Dashboard: ⛔ CHOP
TREND BULL (1) — not chop, ER above trend minimum, kernel spread positive and above minimum. Dashboard: ▲ TREND BULL
TREND BEAR (2) — not chop, ER above minimum, kernel spread negative and below minimum. Dashboard: ▼ TREND BEAR
BALANCE (3) — not chop, ER or spread conditions for trend not met. Dashboard: ◆ BALANCE
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🔀 Pivot Divergence Detection — Price vs Kernel
PRISM implements a pivot-based divergence system that is significantly more robust than the slope comparison divergence used in most oscillator-based indicators.
The pivot divergence method:
Standard divergence detection compares current price slope to current oscillator slope — a noisy, easily-fooled method that produces many false signals. PRISM instead identifies confirmed price pivots (using a configurable pivot length, default: 5 bars) and compares the price level at each new pivot to the slow kernel value at the same pivot bar.
Bullish pivot divergence:
Price forms a new pivot low lower than the previous pivot low — a genuine lower low in price
The slow kernel at the current pivot low bar is higher than it was at the previous pivot low — the kernel estimate is making a higher low while price makes a lower low
Price is currently near or below the lower residual band (within 1σ) — confirming the divergence is occurring at a structurally meaningful oversold level
Bearish pivot divergence:
Price forms a new pivot high higher than the previous pivot high — a genuine higher high in price
The slow kernel at the current pivot high bar is lower than at the previous pivot high — kernel making a lower high while price makes a higher high
Price is near or above the upper residual band
Why kernel-based divergence is more reliable than oscillator divergence: The slow kernel is a statistically optimal estimate of the price trend. When price makes a new extreme but the kernel's trend estimate does not confirm that extreme — actually reversing direction relative to the prior swing — it indicates that the underlying price process, stripped of noise, is already diverging from the price surface. This is a stronger divergence signal than any oscillator comparison because the kernel literally measures the same thing as price, just without noise.
Divergence cooldown: A minimum cooldown between consecutive divergence detections (default: 8 bars) prevents the same divergence condition from generating multiple signals during a prolonged extreme.
Divergence markers: Semi-transparent diamond shapes appear below (bull) or above (bear) bars where divergence is detected but a full entry signal has not fired. These allow you to track divergence conditions developing on the chart even before the complete signal conditions are met.
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🏷 Four Regime-Gated Setup Types
PRISM implements four distinct entry setups, each gated to the appropriate regime state and designed to exploit a different market condition detected by the kernel system.
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Setup A — Flow Break (Trend regime only)
A trend-following breakout entry that fires when price crosses through the residual band with kernel momentum confirmation.
Long conditions:
Regime is Trend Bull (regime == 1)
Price closes above the upper residual band — a statistically significant positive deviation from the kernel trend
Kernel spread is positive and accelerating (spreadBull) — fast kernel is above slow and the gap is widening, confirming the momentum behind the break
A qualifying bull rejection candle (close > open, lower wick above 52% of range) is present
The rationale: A close above the upper residual band in a Trend Bull regime means price has moved more than one standard deviation above the kernel trend estimate with directional kernel momentum behind it. This is not a mean-reversion setup — in a trending regime, upper band closes are continuation signals, not exhaustion signals. The kernel spread confirmation ensures the break has genuine momentum backing rather than being a noise spike into the band.
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Setup B — Kernel Pullback (Trend regime only)
The primary pullback entry — price retracing to the slow kernel with momentum still intact.
Long conditions:
Regime is Trend Bull
Price touches the slow kernel from above — the low of the bar reaches within 0.25× ATR of the kernel line
Price closes above the kernel — confirming the touch was a rejection, not a breakdown through the kernel
Kernel spread is still positive and accelerating — the underlying momentum has not reversed despite the pullback
A qualifying bull rejection candle confirms
The rationale: In a trend regime, the slow kernel is the trend's statistical backbone — the optimal estimate of where the underlying price process is. A pullback to the kernel during a trend is the equivalent of pulling back to the trend's center — the lowest-risk continuation entry with the widest statistical support. The spread confirmation ensures the trend's momentum is intact at the time of the touch.
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Setup C — Z-Score Fade (Balance regime only)
A statistically informed mean-reversion entry using the residual Z-Score to identify genuine band extremes.
Short fade conditions:
Regime is Balance (regime == 3)
Z-Score is above the configured minimum (default: 1.35) — price is more than 1.35 standard deviations above the kernel estimate, a statistically elevated extension
A qualifying bear rejection candle confirms the rejection at the extreme
Why the Z-Score threshold is the key gate: Any band touch could trigger a naive fade signal. The Z-Score requirement ensures only genuine statistical extremes are faded — points where price has deviated far enough from the kernel estimate that mean-reversion is statistically probable. The 1.35σ threshold balances frequency and quality — above this level, approximately 82% of normal distribution probability mass is below the current price, making continuation significantly less likely than reversion.
Balance-only gating: In a Trend regime, upper band touches in a bull trend are continuation signals, not exhaustion (as Setup A exploits). Setup C is therefore hard-gated to Balance regime only — mean-reversion entries are only valid when the market is genuinely ranging, not when a trend is carrying price to the band.
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Setup D — Divergence Reversal (Balance or opposing Trend regime)
The highest-conviction reversal entry, combining the pivot divergence signal with a band extreme and rejection candle.
Long conditions:
A qualifying bullish pivot divergence has been detected (price lower low, kernel higher low, near lower band)
A qualifying bull rejection candle confirms on the divergence bar
Regime is Balance OR Trend Bear (regime == 3 or regime == 2) — the setup is intended for counter-trend reversals, not trend continuation
Why divergence setups fire in opposing trend or balance regimes: A bullish divergence at the lower band during a Trend Bear regime is a potential trend exhaustion and reversal signal. In Balance, it is a standard oscillation reversal. Both contexts are appropriate for a divergence-based entry. A bullish divergence during Trend Bull would be anomalous — if the kernel is making higher lows while price makes lower lows in a bull trend, the trend is likely still intact and the divergence is noise rather than reversal signal.
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🧠 The 7-Layer Confluence Engine
Every signal across all four setup types is scored through the same 7-layer system. The default minimum is 5 of 7.
Layer 1 — Regime and Kernel Spread Direction (1 point):
Awards 1 point when either the regime confirms the signal direction (Trend Bull for longs, Trend Bear for shorts) or the kernel spread is directionally aligned. This layer is satisfied by either condition, making it achievable even in Balance regime when the spread is directional.
Layer 2 — Z-Score and Spread Positioning (1 point):
Awards 1 point when the residual Z-Score is positive (price above kernel) for longs, or negative for shorts; or when the kernel spread is directionally positive or negative respectively. Confirms the price is on the structurally correct side of the kernel estimate.
Layer 3 — HTF Bias (1 point):
Higher timeframe EMA alignment agrees with the signal direction. The macro institutional flow confirmation layer.
Layer 4 — Volume Expansion (1 point):
Current bar volume exceeds the volume moving average by the configured minimum multiplier (default: 1.05×). Confirms genuine participation on the signal bar.
Layer 5 — Rejection Candle (1 point):
A qualifying bull or bear rejection candle — bullish close with lower wick exceeding 52% of range, or bearish close with upper wick exceeding 52%. The candle quality confirmation that price genuinely rejected at the relevant level.
Layer 6 — Non-Chop Regime (1 point):
Market is not in Chop regime. Also enforced as a hard gate — no signal fires in Chop regardless of score.
Layer 7 — Setup Type Active (1 point):
Any of the four enabled setup types has fired on the current bar. Both a scoring layer and a hard prerequisite — at least one setup type must qualify for a signal to exist.
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📊 Live Dashboard
The 16-row real-time dashboard displays the complete internal state across four sections.
KERNEL
Regime — current regime: ⛔ CHOP, ▲ TREND BULL, ▼ TREND BEAR, or ◆ BALANCE
Kernel Type — the active kernel function: Gaussian, Epanechnikov, or Tricube
Bandwidth h — the current effective slow kernel bandwidth with "adap" suffix when adaptive scaling is active. Orange when a bandwidth shift event has been detected
Flow Spread — the current Fast Kernel minus Slow Kernel spread value with + or - sign. Yellow-green when spreadBull, red when spreadBear
BANDS
Z-Score — the current residual Z-Score. Orange when above the fade minimum threshold, indicating a statistically stretched condition
σ Width — the current sigma value in price terms — the standard deviation of residuals, displayed as a price distance
Divergence — ▲ BULL DIV or ▼ BEAR DIV when a pivot divergence is currently active, — otherwise
FILTERS
HTF Bias — ▲ BULL, ▼ BEAR, or — FLAT
Chop Index — live Choppiness Index value. Orange when in the stand-aside zone
CONFLUENCE
Bull Score — live 0–7 score. Background highlights yellow-green when threshold met and not in chop
Bear Score — live 0–7 score. Background highlights red when threshold met and not in chop
Live confluence label: During non-chop regimes, a small B x/7 · S x/7 label appears near the slow kernel line on the current bar, updating in real time.
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📈 Chart Visual System — Three Visual Modes
PRISM provides three visual modes selectable from settings, allowing you to optimize the chart display for your preferred analysis style.
Bands Mode (default):
Shows both the slow kernel line and the upper/lower residual bands as a channel around the kernel. The band fill creates a purple-tinted envelope. Setup A and C reference levels are immediately visible. Best for band-aware trading and Z-Score fade entries.
Line Mode:
Shows only the slow kernel line without bands. Clean, minimal display for traders who prefer to use the kernel line purely as a trend reference and support/resistance level for pullback entries.
Flow Mode:
Shows both the fast and slow kernel lines simultaneously without the residual bands. The spread between the two lines is directly visible on the chart — the gap between cyan (fast) and purple (slow) is the visual representation of the Flow Spread. Best for traders who want to monitor momentum through the kernel spread rather than band positioning.
Additional visuals:
Slow Kernel Line (purple) — the primary trend estimate, primary reference for Setup B pullbacks
Fast Kernel Line (cyan, Flow Mode only) — the momentum layer, its position relative to the slow kernel shows the current spread
Upper/Lower Residual Bands — statistically computed envelopes around the kernel. Setup A crossovers and Setup C fade levels
Band Fill (purple tint) — semi-transparent fill between bands when enabled
▲ Triangle (below bar) — long signal. All conditions confirmed
▼ Triangle (above bar) — short signal
◆ Diamond (semi-transparent, below/above) — divergence detected but full signal not yet confirmed. Pre-signal awareness
SL Guide (red dotted circles) — stop loss below the lower band or bar low minimum, plus ATR buffer
TP Guide (yellow-green dotted circles) — dynamic R-multiple target
Bar coloring (optional, off by default) — bars colored by kernel bias direction when enabled
Live confluence label — B x/7 · S x/7 near the slow kernel on the current bar
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🚀 How to Trade with AlphaX PRISM — Step by Step
Step 1 — Check Regime and Kernel State
Dashboard Regime row is the first check. ⛔ CHOP means no trades. ▲ TREND BULL or ▼ TREND BEAR means Setup A and B are available. ◆ BALANCE means Setup C and D are available
Check Flow Spread — is it confirming the regime direction? In Trend Bull, the spread should be positive and yellow-green. A Trend Bull regime with a flat or negative spread is a weakening trend that may be transitioning to Balance
Note the Z-Score — is it near or beyond the fade threshold? A Z-Score above +1.35 in Balance regime means Setup C short fade conditions are approaching. Below -1.35 means Setup C long fade is approaching
Check Divergence row — if it shows ▲ BULL DIV or ▼ BEAR DIV, a reversal setup is potentially developing. Watch for the rejection candle confirmation
Step 2 — Identify the Active Setup Type
Trend Bull: watch for price to reach the slow kernel line from above (Setup B) or close above the upper band with spread confirmation (Setup A)
Balance: watch Z-Score. When it reaches ±1.35 and the rejection candle fires, Setup C is the play
Any regime where divergence is active: Setup D — the rejection candle at the band extreme is the trigger
Step 3 — Enter on the PRISM Signal
A ▲ triangle confirms the full confluence stack is met. The SL guide is below the lower band and bar low minimum — the structural invalidation level
The TP guide is at the R-multiple target. For Setup A trend breaks, consider extending the target toward previous swing highs if the trend is strongly established
For Setup D divergence entries, the target is typically the kernel line itself (the mean) — the Z-Score fading back toward zero is the natural first target
Step 4 — Manage with Kernel State
During a Trend regime trade, watch the Flow Spread on the dashboard. When the spread begins narrowing (converging toward zero), trend momentum is fading — begin preparing to exit
A bandwidth shift (Bandwidth h shows orange) during a trade means volatility is changing significantly. Reassess the trade's context — the kernel is recalibrating
If regime transitions to Chop during an open trade, close immediately — the market character no longer supports the setup's thesis
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⚠ Identifying Low-Quality Conditions — When Not to Trade
Stand aside when:
Regime shows ⛔ CHOP — the Choppiness Index has crossed the stand-aside threshold. All signals are blocked. This is the most important dashboard reading in PRISM
Bandwidth h shows orange (bandwidth shift) — the adaptive bandwidth is shifting significantly, indicating a volatility regime transition. The kernel is recalibrating and its estimates may be temporarily less reliable
Flow Spread is near zero in either direction — when the fast and slow kernels have converged, there is no directional momentum bias. Setup A and B require a spreading kernel; a flat spread means the market has no directional commitment at the kernel level
Z-Score is between -1.0 and +1.0 in Balance regime — price is near the kernel estimate, well within one standard deviation. Setup C fade signals require statistical stretch beyond 1.35σ — entering fades too close to the kernel means the edge from Z-Score mean reversion is absent
Divergence markers appear but no rejection candle forms for multiple bars — a divergence without a confirming candle is a warning, not a signal. Do not enter on the divergence alone; wait for the full Setup D conditions including the rejection candle and minimum confluence score
Regime alternates rapidly between Trend Bull and Balance or Balance and Chop — unstable regime cycling indicates a transitional market where neither trending nor ranging playbooks have sustained applicability. Reduce size or wait for a clear, sustained regime
The ideal PRISM setup:
Trend regime sustained for 10+ bars with consistent spread direction
Flow Spread positive and growing (Trend Bull) — the momentum is actively building
HTF Bias aligned with regime direction
Price retracing cleanly to the slow kernel (Setup B) — touch within 0.25× ATR with a qualifying rejection pin bar
Volume above average, confirming institutional participation at the kernel level
Confluence score at 6/7 or 7/7
Z-Score near zero at the pullback bar — confirming the pullback reached the statistical center, not an overextended entry
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⚡ Key Features
🔬 Nadaraya-Watson kernel regression — non-parametric weighted estimate of the underlying price process using Gaussian, Epanechnikov, or Tricube kernel functions
⚙ Adaptive bandwidth scaling — effective bandwidth scales by ATR percentile rank, tightening in quiet markets and widening in volatile conditions
⚡ Dual-kernel architecture — slow kernel (primary trend estimate) and fast kernel (momentum layer) whose spread creates a real-time directional bias measure
📊 Residual-based bands — bands computed from the standard deviation of price-minus-kernel residuals, not from price itself. Statistically superior to ATR or price-deviation bands
📉 Z-Score display — live residual Z-Score showing how many standard deviations price has deviated from the kernel estimate, gating the mean-reversion fade setup
🔀 Pivot-based divergence detection — price pivot extremes compared to kernel estimate at same bar, more robust than oscillator slope divergence
◆ Divergence pre-signal markers — semi-transparent diamonds show developing divergence conditions before the full signal fires
🏷 Four regime-gated setup types — Setup A (Flow Break, trend only), Setup B (Kernel Pullback, trend only), Setup C (Z-Score Fade, balance only), Setup D (Divergence Reversal, balance or opposing trend)
📡 Bandwidth shift detection — alerts when adaptive bandwidth changes by 12%+ in a single bar, signaling a volatility regime transition
🎨 Three visual modes — Bands (channel display), Line (clean kernel only), Flow (dual-kernel spread visualization)
📊 Optional bar coloring — bars colored by kernel bias direction, off by default for chart cleanliness
🧠 7-layer confluence engine — Regime/Spread, Z-Score/Positioning, HTF Bias, Volume, Rejection Candle, Non-Chop, and Setup Type scored every bar
📊 16-row live dashboard — Regime, Kernel Type, Bandwidth h, Flow Spread, Z-Score, σ Width, Divergence, HTF Bias, Chop Index, and Confluence scores updated in real time
🔔 6 alert conditions — long/short entry, chop warning, bull/bear divergence, bandwidth shift
⚙ Fully configurable — kernel type, lookback window, base bandwidth, adaptive scaling range, output EMA smoothing, fast kernel bandwidth multiplier, residual band multiplier and lookback, Z-Score fade minimum, ER and CI regime thresholds, divergence pivot length and cooldown, all four setup enables, HTF timeframe and EMAs, volume filter, session, SL/TP parameters, visual mode, and all colors are independently adjustable
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⚙ Settings Reference
Kernel Engine
Kernel Type — Gaussian / Epanechnikov / Tricube. The weight function applied in the NW estimate
Lookback Window — the number of historical bars included in the kernel estimate (default: 40)
Base Bandwidth (h) — the base bandwidth parameter controlling effective kernel width (default: 6.0)
Adaptive Bandwidth (ATR percentile) — when on, scales h by ATR percentile rank (default: on)
ATR Length — lookback for the ATR calculation used in adaptive scaling (default: 14)
ATR Percentile Lookback — history window for ATR percentile rank (default: 100)
Adaptive Min Scale — minimum bandwidth multiplier in quiet markets (default: 0.80)
Adaptive Max Scale — maximum bandwidth multiplier in volatile markets (default: 1.25)
Output EMA Smooth — post-kernel EMA smoothing applied to both kernel outputs (default: 2)
Fast Kernel h Mult — bandwidth multiplier for the fast kernel relative to the slow (default: 0.55)
Residual Bands
Band Multiplier (σ) — number of residual standard deviations for the band boundaries (default: 1.0)
Residual σ Lookback — bars used to compute the residual standard deviation (default: 24)
Z-Score Min for Range Fade — minimum absolute Z-Score required for Setup C to fire (default: 1.35)
Regime & Divergence
Efficiency Ratio Length — ER lookback (default: 10)
ER Min (Trend) — minimum ER for trend classification (default: 0.32)
Choppiness Length — CI lookback (default: 14)
Chop — Stand Aside Above — CI threshold (default: 61.0)
Enable Pivot Divergence — toggle the divergence detection system
Divergence Pivot Length — bars on each side for pivot confirmation (default: 5)
Divergence Cooldown (bars) — minimum bars between divergence detections (default: 8)
Entries & Confluence
Setup A · Flow Break (trend) — toggle the trend band crossover setup
Setup B · Kernel Pullback — toggle the kernel touch pullback setup
Setup C · Z-Score Fade (balance) — toggle the balance mean-reversion setup
Setup D · Divergence Reversal — toggle the pivot divergence entry
Min Confluence Layers (of 7) — minimum score to fire a signal (default: 5)
Show Entry Signals — toggle signal triangles
Show Confluence Label — toggle the live B/S score label near the kernel line
Signal Cooldown (bars) — minimum bars between consecutive signals (default: 6)
Filters
HTF Trend Filter / HTF Timeframe / HTF Fast / HTF Slow EMA — higher timeframe bias parameters (defaults: on / 60-minute / 21 / 55)
Volume Confirm / Min Volume vs Avg / Volume Avg Length — volume expansion gate (defaults: on / 1.05 / 20)
Session Filter / Active Session — trading hours restriction (default: off)
Exit Guidance
Show SL / TP Guides — toggle stop and target circles
SL Distance (xATR) — ATR buffer beyond the lower band and bar low minimum (default: 1.0)
TP Reward (R) — take profit as risk × R multiple (default: 2.5)
Display
Visual Mode — Bands / Line / Flow. Selects which kernel components are rendered
Fill Residual Bands — toggle the purple band fill between upper and lower bands
Color Bars by Bias — toggle optional bar coloring by kernel spread direction (default: off)
Show Dashboard — toggle the full dashboard
Dashboard Position — Top Left / Top Right / Bottom Left / Bottom Right
Colors
Bull / Bull Bright — yellow-green family for bullish signals and indicators
Bear / Bear Bright — red family for bearish signals
Chop / Caution — orange for chop regime and bandwidth shift warnings
Kernel Line — purple for the slow kernel line and neutral band elements
Fast Kernel — cyan for the fast kernel line in Flow mode
SL Guide / TP Guide — stop and target circle colors
Dash Text / Dash BG / Dash Header / Dash Section / Dash Frame — full dashboard color control
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🔔 Alert Conditions (6 total)
Entry Alerts
PRISM Long — all conditions confirmed. Long signal fired across any of the four setup types
PRISM Short — all conditions confirmed. Short signal fired
State Alerts
PRISM Chop Warning — market has entered the Chop regime. All signals blocked — stand aside
PRISM Bull Divergence — bullish pivot divergence confirmed at the lower band. Setup D long conditions developing — watch for rejection candle
PRISM Bear Divergence — bearish pivot divergence confirmed at the upper band
PRISM Bandwidth Shift — adaptive bandwidth shifted 12%+ in one bar. Volatility regime transition in progress
All alert messages are formatted as const strings for clean webhook and notification platform integration.
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🎯 Recommended Settings by Instrument & Timeframe
The default configuration is optimized for XAUUSD, major forex pairs, and crypto on M5–H1 :
Gaussian kernel — smoothest estimate, optimal for the normally-distributed noise of gold and forex price action
Lookback at 40 — sufficient history for a meaningful kernel estimate on intraday timeframes without excessive lag
Base bandwidth at 6.0 with adaptive scaling — allows the kernel to breathe with gold's characteristic alternation between tight ranges and explosive moves
Band Multiplier at 1.0σ — one standard deviation bands are sensitive to genuine residual extremes without requiring extreme extension
Z-Score minimum at 1.35 — approximately 82nd percentile of normal distribution — a meaningful but not excessive statistical stretch requirement
For other instruments or timeframes, adjust:
M1–M3 scalping — reduce Lookback to 25–30, reduce Base Bandwidth to 4.0–5.0, reduce Output EMA Smooth to 1, reduce Cooldown to 3, reduce TP to 2.0R
H4–Daily swing trading — increase Lookback to 60–80, increase Base Bandwidth to 8.0–12.0, increase ATR Percentile Lookback to 200, increase TP to 3.5–5.0R
Crypto (BTC, ETH) — increase Adaptive Max Scale to 1.40–1.50 for the wider volatility swings, consider Epanechnikov kernel for faster response to crypto's sharper price movements
Indices (NAS100, US30) — increase Z-Score minimum to 1.5–1.8 (indices can sustain higher Z-scores in trends before reverting), use session filter for cash market hours
More signals — lower Min Confluence to 4, reduce Z-Score minimum to 1.1, increase Base Bandwidth to produce wider bands that are touched more frequently
Fewer, highest-quality signals — raise Min Confluence to 6–7, increase Z-Score minimum to 1.6, reduce Fast Kernel multiplier to 0.45 for a slower fast kernel that only diverges from slow in strong trends
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👥 Who This Is For
🔬 Mathematically sophisticated traders — PRISM exposes the full statistical machinery of non-parametric kernel regression to traders who want more than a moving average but something grounded in rigorous statistical theory
📊 Band-based traders who struggle with Bollinger Bands — residual-based bands solve the core Bollinger Band problem: bands that widen dramatically in trends due to trend variance rather than noise variance. PRISM's bands measure only the noise
🎯 Divergence traders — the pivot-based kernel divergence system is the most robust divergence implementation in the AlphaX suite, comparing structural price pivots to the kernel's trend estimate rather than oscillator slopes
🧭 Regime-aware traders — like VECTOR, PRISM classifies the current market regime and selects the appropriate playbook automatically. Four distinct setup types cover trending, balanced, and reversal conditions
📈 Adaptive system traders — the adaptive bandwidth scaling means PRISM truly adapts to the current volatility environment without manual recalibration
🥇 Gold and forex intraday traders — the Gaussian kernel with adaptive scaling is particularly well-suited to gold's volatility patterns, and the default settings are calibrated for XAUUSD intraday conditions
🔀 Traders who use mean-reversion and trend-following simultaneously — PRISM's four setups cover both directions: momentum breaks and pullbacks in trends, fades and divergence reversals in balance. One indicator, complete market coverage across regimes
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📝 Notes
All signals are confirmed on bar close — the indicator is non-repainting by design. Kernel estimates, regime classification, divergence detection, and confluence scoring all finalize on confirmed bars
The kernel regression calculation requires all bars within the lookback window to produce its estimate. On charts with fewer bars than the Lookback Window setting, the kernel estimate may be imprecise during the warm-up period. Allow the chart to accumulate at least the full lookback period (default: 40 bars) before treating signals as reliable
Adaptive bandwidth scaling uses ATR percentile rank, which itself requires the ATR Percentile Lookback period to calibrate. On fresh chart loads, the adaptive scale may not reflect the full historical context until sufficient bars have accumulated
The divergence system compares to the most recently confirmed pivot high or low. On timeframes where pivots form infrequently (H4+), the prior pivot reference may be many bars old and the divergence comparison less temporally relevant. Reduce the divergence pivot length on higher timeframes for more frequent reference points
The bandwidth shift alert fires when the bandwidth changes by 12%+ between consecutive bars. On very fast timeframes with high ATR volatility, this threshold may be crossed frequently — increase the threshold or disable the bandwidth shift alert if this becomes excessive noise
Maximum 500 labels and 500 lines are rendered. The divergence markers and confluence labels count toward these limits
The indicator does not track open positions or P&L and does not connect to any broker or account
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⚠ Disclaimer
This indicator is a technical analysis and visualization tool intended for educational and informational purposes only. It does not constitute financial advice or a recommendation to buy or sell any financial instrument. All signals are generated from historical and real-time price data using mathematical calculations — their accuracy or profitability is not guaranteed. Past performance of any signal type does not guarantee future results. Always conduct your own analysis, use proper risk management, and consult a licensed financial advisor before making any trading decisions. The author accepts no responsibility for any losses incurred from the use of this indicator.
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Built for traders who believe that the best price estimate is not an average of the past — it is a statistically optimal reconstruction of the price process itself. Indicator
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Kalman Quantum Drift [JOAT]KALMAN QUANTUM DRIFT
A trend-and-envelope engine built on the cleanest pair of state-space tools in quantitative finance: a Kalman filter for the centreline (Bayesian, adaptive, mathematically optimal under linear-Gaussian assumptions) and a GARCH(1,1) conditional-variance model for the envelope (the institutional standard for time-varying volatility). The script reads price as a noisy observation of an unobservable true state; the Kalman filter estimates that state recursively; GARCH estimates the noise's volatility; the envelope = mid ± k · σ_GARCH. A signal engine layered on top detects Collapse events (>3σ excursions) and Tunnel events (gap-throughs of the envelope) — the quantum analogues of state collapse and quantum tunnelling.
The Kalman filter, properly
A single-state recursive Bayesian filter. At each bar:
Predict : prior estimate = previous estimate. Prior variance = previous variance + Q.
Update : Kalman gain = prior variance / (prior variance + R). New estimate = prior + gain × (observation − prior). New variance = (1 − gain) × prior variance.
The two tuning knobs are:
Q (process noise) — how much the script trusts new observations. Higher Q = faster, noisier mid-line.
R (measurement noise) — how much the script trusts the model. Higher R = slower, smoother mid-line.
This is the Bayesian-optimal smoother for linear-Gaussian state-space data. Real markets are not perfectly linear-Gaussian, but the Kalman estimate is robust enough to be the cleanest mid-line you can build without going into heavy non-linear filtering.
GARCH(1,1) envelope
The envelope around the Kalman mid is not ATR or stdev — it is GARCH(1,1) :
σ²_t = ω + α · ε²_{t−1} + β · σ²_{t−1}
ω is the long-run variance baseline, α is the reaction to last shock squared (ARCH term), β is the persistence of past variance (GARCH term). For stationarity, α + β < 1 (the script's α/β defaults respect that). Optional log returns (default ON) and a warm-up window seed the variance from realised returns.
The envelope is mid ± k · σ_GARCH , rendered as a gradient (configurable number of nested fills, each at progressive transparency from edge to core).
Three-signal engine
Collapse — fires when price travels more than collapse threshold (default 3.0) σ-units from the Kalman mid. The "state collapse" event — price has decisively departed the filter's expected band. Bull or bear depending on direction.
Tunnel — fires when a bar gaps through the entire envelope from one side to the other. The "quantum tunnel" event — a discontinuous jump that bypasses the band gradient.
Buy / Sell crosses — fire when price crosses the Kalman mid from one side. Optional Collapse confirmation gate (default ON) — Buy / Sell only fires when a Collapse occurred within the configurable lookback window. This dramatically improves signal quality.
A configurable signal cooldown (default 5 bars) prevents stacking.
Visual system
Kalman mid-line — coloured by its own slope (bull / bear), configurable width.
Gradient envelope — nested fills (configurable steps, default 6) using the same base hue with progressive transparency from edge to core. Strict two-hue discipline (bull cyan / bear pink only).
Price bar colouring by mid slope (toggleable).
Background tint on extremes — subtle bgcolor when price is at envelope edge (toggleable, default 92 transparency).
Event glyphs — C (Collapse) and T (Tunnel) markers at the event bar. Configurable size.
A locked Quantum palette (cyan bull / pink bear / muted cyan mid on a deep violet-black) gives the chart a distinctive quant-physics identity.
Dashboard
Monospaced table positionable to any of nine corners. Surfaces:
Current Kalman mid value with slope direction.
σ_GARCH value and the envelope half-width.
Distance of price from mid in σ-units.
Last Collapse / Tunnel / Buy / Sell event with bar age.
Q / R settings in use.
GARCH ω / α / β confirmation.
Alerts
Six alert conditions, each independently controllable:
Collapse Up / Down (>kσ excursion)
Tunnel Up / Down (envelope gap-through)
Slope Flip (Kalman mid changes direction)
Sigma Spike (σ_GARCH exceeds its own recent baseline)
How to read it
Three reads, in order of conviction:
Buy/Sell after a Collapse (the script's intended signal) — the cleanest trend-entry the engine produces. A Collapse means price decisively departed expected range; the subsequent mid-line cross confirms the new direction with the strongest possible context. This is the highest-conviction read.
Tunnel — an exceptional, rare event. When a single bar jumps the entire envelope, the market has experienced a discontinuity (news, large block, exchange dislocation). Often produces the day's largest moves; almost always followed by elevated volatility.
σ Spike alert without a directional event — a regime warning. Volatility just expanded without a directional commitment yet. The next signal that fires is statistically more likely to be meaningful than the one before the spike.
Suggested settings
Defaults (Q = 0.02, R = 1.5, GARCH ω=2e-6 / α=0.10 / β=0.85, k = 2.5, gradient steps 6) are tuned for 15m–1H on liquid markets. For lower timeframes drop k to 2.0. For HTF raise R to 3.0 (more model trust on smoother data). The GARCH α/β defaults are the institutional standard; α + β remains under 1 for stationarity.
Originality
Kalman filtering and GARCH(1,1) are textbook quantitative-finance methods — both decades-old, both well-documented. The implementation here — the single-state recursive Kalman with exposed Q/R, the GARCH(1,1) variance recursion with warm-up window, the gradient-envelope render using strict two-hue alpha-only variation, the three-signal engine (Collapse / Tunnel / Cross), the optional Collapse-confirmed Buy/Sell gating, the event glyph markers, and the background tint on extremes — is JOAT-original. No third-party code reused. The pairing of Kalman + GARCH + quantum-inspired signal naming is the original presentation.
Limitations
The Kalman filter assumes linear-Gaussian state dynamics — real markets violate this, especially around news and gaps. The Q / R tuning is exposed precisely because no single setting is universally correct; tune to your instrument's noise profile. GARCH's α/β must sum to less than 1 for stationarity — the defaults respect this; if you push them too aggressively the variance can explode. Collapse and Tunnel events are confirmed on bar close (non-repainting).
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-made with passion by jackofalltrades
Indicator
ATR Multi Time Frame DisplayAn updated version to the simple ATR display. This updated version now give you an option to toggle on the 1 min ATR no matter what time frame you swap to. This also has an option to choose between RMA, SMA, EMA, or WMA. The smoothing method averages those True Range values over your chosen length, like 14 candles.
RMA
This is PulseWire’s default ATR style and the classic Wilder ATR. It reacts smoothly without being too jumpy. If you’re unsure, start here. Good for general trading, stops, and position sizing.
SMA
Simple average. Every candle in the lookback has equal weight. It can feel a bit clunky because old high-volatility candles stay in the average until they suddenly drop off. Useful if you want a very plain “last 14 bars average range” reading.
EMA
More weight on recent candles, so it reacts faster when volatility expands or contracts. Good if you scalp, trade breakouts, or want stops/targets to adjust quickly. Downside: it can get jumpier.
WMA
Also weights recent candles more, often even more directly than EMA over the lookback. It can be responsive and clean, but may be too sensitive for some traders.
RMA is the best default because it’s the standard ATR most traders expect. If you find it lags too much on the 1-minute ATR, try EMA next. Indicator
Advanced Liquidity Sweep [HexaTrades]Advanced Liquidity Sweep is a Smart Money Concepts (SMC) indicator designed to automatically identify liquidity pools, equal highs and lows, liquidity sweeps, and potential reversal areas. Rather than simply detecting wick breaks, it evaluates each sweep using multiple confirmation factors and assigns a strength score, helping traders distinguish between minor stop hunts and higher-quality liquidity events.
The indicator is designed for cryptocurrencies, stocks, forex, futures, commodities, and indices across all timeframes.
What is Liquidity?
Financial markets constantly search for liquidity before making significant moves.
Retail traders often place:
• Stop losses below swing lows
• Stop losses above swing highs
• Breakout orders above resistance
• Breakdown orders below support
These orders accumulate into liquidity pools. Large market participants frequently move prices into these areas to fill large positions before reversing or continuing the trend.
This indicator automatically identifies those liquidity pools and highlights when they are swept.
How it works :
- Map the liquidity.: Confirmed pivot highs become BSL lines, pivot lows become SSL lines. You choose Major and/or Minor swing sizes.
- Cluster equal highs/lows. Several highs (or lows) at nearly the same price form an EQH / EQL cluster, a bigger, juicier liquidity pool that scores higher.
- Detect the sweep (on closed candles only).
• Bearish: price trades above a BSL level but closes back below it.
• Bullish: price trades below an SSL level but closes back above it.
- Score it 0–100. Six factors rate how convincing the rejection was (see below). At/above your Strong threshold, it’s tagged STRONG.
- Draw a sweep zone. Optionally turn each sweep into a supply/demand zone you can watch for re-entry, with optional auto-expiry.
- Filter the noise. Optional Trend, Higher-Timeframe and Filter presets keep only the cleaner grabs.
Features
🔶 Major & Minor Swing Detection
The indicator detects both major and minor swing highs and lows.
Major swings represent stronger institutional liquidity and usually produce higher-quality reactions.
Minor swings identify shorter-term liquidity that is commonly targeted during intraday trading.
Users can monitor:
• Major swings only
• Minor swings only
• Both simultaneously
🔶Buy-Side Liquidity (BSL)
Buy-side liquidity forms above previous swing highs.
These areas usually contain:
• Short stop losses
• Breakout buy orders
• Momentum entries
When price trades above these highs before quickly closing back below, the indicator identifies a bearish liquidity sweep.
🔶 Sell-Side Liquidity (SSL)
Sell-side liquidity forms below previous swing lows.
These areas usually contain:
• Long stop losses
• Panic selling
• Breakdown entries
When price trades below these lows before closing back above, the indicator identifies a bullish liquidity sweep.
🔶 Equal Highs & Equal Lows
Equal highs and equal lows are some of the strongest liquidity pools because many traders place stops at nearly identical price levels.
The indicator automatically detects these structures using:
• ATR-based tolerance
• Percentage-based tolerance
Equal liquidity levels are highlighted separately and tracked independently from normal swing liquidity.
🔶 Zone Colors
Here are the zone and line colors used in this indicator and what each one means:
🔴 Red: Buy-Side Liquidity (BSL)
- Represents swing highs where buy-side liquidity is concentrated.
- Commonly contains short stop-loss orders and breakout buy orders.
- These are active, unswept liquidity levels and potential targets for a bearish liquidity sweep.
🟢 Green: Sell-Side Liquidity (SSL)
- Represents swing lows where sell-side liquidity is concentrated.
- Commonly contains long stop-loss orders and breakdown sell orders.
- These are active, unswept liquidity levels and potential targets for a bullish liquidity sweep.
🟠 Orange: Equal Highs / Equal Lows (EQH / EQL)
- Marks two or more highs or lows formed at nearly the same price.
- These levels are displayed using dashed lines and often contain larger clusters of resting liquidity.
- Sweeps of Equal Highs and Equal Lows typically produce stronger, higher-probability trading opportunities.
⚪ Gray: Swept (Inactive) Liquidity
- Indicates liquidity that has already been swept by price.
- Once a level has been taken, it changes to gray and becomes inactive.
- This helps distinguish spent liquidity from active levels that may still attract future price movement.
Sweep Signal Colors
🟩 Bullish Liquidity Sweep
-Appears when Sell-Side Liquidity (SSL) or an Equal Low (EQL) is swept.
-Price trades below the liquidity level but closes back above it, confirming a bullish liquidity sweep.
🟪 Bearish Liquidity Sweep
- Appears when Buy-Side Liquidity (BSL) or an Equal High (EQH ) is swept.
- Price trades above the liquidity level but closes back below it, confirming a bearish liquidity sweep.
🔶 Liquidity Sweep Detection
A liquidity sweep occurs when price temporarily breaks a liquidity level but fails to hold beyond it.
For a valid sweep:
Bearish Sweep
• Price trades above Buy-Side Liquidity
• The candle closes back below the level
Bullish Sweep
• Price trades below Sell-Side Liquidity
• The candle closes back above the level
Because the signal is generated only after the candle closes, the indicator does not repaint.
🔶Sweep Strength Score
Every sweep receives a strength score from 0 to 100.
The score combines multiple factors including:
• Wick rejection
• Candle body strength
• Penetration distance beyond liquidity
• Volume confirmation
• Distance from the EMA
• Equal High / Equal Low cluster strength
Higher scores generally indicate stronger liquidity events.
Strength tiers are classified as: Weak, Medium, Strong, and Elite
Users can also define a minimum score to filter out lower-quality sweeps.
🔶 Score Presets
Three scoring profiles are available:
Conservative: Places greater emphasis on clean rejection candles and body structure.
Balanced: Provides an even weighting across all scoring components and is suitable for most trading styles.
Aggressive: Places greater importance on volume and equal liquidity clusters, making it more responsive to institutional activity.
🔶 Trend & Higher Timeframe Filters
The indicator includes optional trend confirmation filters to help improve signal quality.
The Trend Filter uses the EMA 50 and EMA 200 to evaluate the current market direction and offers two modes:
Continuation : Displays only sweeps that align with the prevailing trend.
Reversal : Displays only sweeps that occur against the prevailing trend, helping identify potential market reversals.
For additional confirmation, the Higher Timeframe (HTF) Bias Filter compares price with a higher timeframe EMA. When enabled, sweeps are generated only if they align with the broader market trend, helping reduce false signals and improving overall trade selection.
🔶 Liquidity & Sweep Zones
The indicator provides two complementary ways to visualize liquidity on the chart.
Liquidity Zones highlight swing highs and lows as either horizontal lines, price zones, or both, making it easier to identify areas where liquidity is likely to accumulate. Users can choose between Lines Only, Zones Only, or Both to match their preferred chart style.
When a liquidity sweep occurs, the indicator automatically creates a Sweep Zone around the rejection candle. These zones can be extended into the future, automatically removed after a user-defined period, or kept indefinitely. Sweep zones often serve as potential support or resistance areas, making them useful for identifying future reaction zones, retests, and trade opportunities.
⭐️ Bullish Liquidity Sweep
Price sweeps below the Sell-Side Liquidity (SSL), triggering stop-loss orders before quickly reversing and closing back above the liquidity level. The Sweep Zone acts as a potential support area, while the strength score helps evaluate the quality of the setup. Traders may look for long opportunities on the confirmation or retest, targeting the next Buy-Side Liquidity (BSL).
Example:
⭐️Bearish Liquidity Sweep
Price sweeps above Buy-Side Liquidity (BSL), triggering breakout orders and stop-losses before reversing and closing back below the liquidity level. The Sweep Zone acts as a potential resistance area, while the strength score helps evaluate the quality of the setup. Traders may look for short opportunities on the rejection or retest, targeting the next Sell-Side Liquidity (SSL
example chart:
Alerts
Built-in alert conditions include:
• Bullish Liquidity Sweep
• Bearish Liquidity Sweep
• Equal High Sweep
• Equal Low Sweep
• Strong Bullish Sweep
• Strong Bearish Sweep
• Next-Candle Confirmed Sweep
• Any Liquidity Sweep
These alerts allow traders to automate notifications without monitoring charts continuously.
How to Use
The Advanced Liquidity Sweep indicator helps identify where liquidity exists, when it has been swept, and how strong the resulting market reaction is. For the best results, combine it with market structure, support and resistance, and proper risk management.
Bullish Setup:
- Wait for price to sweep a Sell-Side Liquidity (SSL) level.
- The candle should close back above the liquidity level, confirming a bullish sweep.
- Prefer Medium, Strong, or Elite sweep scores for higher-quality setups.
- Use the Trend Filter or Higher Timeframe Bias Filter for additional confirmation.
- Watch for a retest of the Sweep Zone before considering a long entry.
-Place the stop-loss below the sweep low and target nearby resistance or Buy-Side Liquidity.
Bearish Setup:
- Wait for price to sweep a Buy-Side Liquidity (BSL) level.
- The candle should close back below the liquidity level, confirming a bearish sweep.
- Focus on higher-strength sweep scores for better probability.
- Confirm the setup using the Trend or Higher Timeframe filters.
- Look for rejection from the Sweep Zone before entering a short position.
- Place the stop-loss above the sweep high and target nearby support or Sell-Side Liquidity.
Advanced Liquidity Sweep is designed to help traders understand where liquidity exists, identify when it has been taken, and evaluate the quality of each sweep using multiple confirmation factors. Rather than relying on simple wick breaks, it combines liquidity analysis, market structure, trend confirmation, and strength scoring to provide greater context for trading decisions. As with any technical tool, it should be used alongside sound risk management and additional market analysis for the best results.
We would love to hear your suggestions. If you have ideas for new features, indicators, analytics, or improvements, please share your feedback. Your input helps guide future updates and improve the indicator for all traders.
This indicator is for educational and analytical purposes only. It should not be considered financial advice. Always use proper risk management and make trading decisions based on your own analysis
Indicator
Indicator
Market Regime & Trend Filter🚀 MARKET REGIME & TREND FILTER PRO
The Market Regime & Trend Filter Pro (MRTF), engineered by gunebak4n, is an institutional-grade multi-dimensional trend classification and market structure isolation framework. It is designed to visually map macro price regimes, isolate structural expansions, and filter out low-liquidity market noise without a single pixel of signal repainting.
MRTF operates on the core principle that directional price movement cannot be evaluated in a vacuum. True, sustainable trends are defined by the mathematical convergence of statistical linear regression velocity and validated swing market structures (Higher Highs / Lower Lows). By unifying an asset-agnostic, normalized slope calculation with a lag-free swing matrix, MRTF projects multi-state market environments directly onto the user's chart.
Unlike traditional moving averages or standard trend-following tools that suffer from severe lag or generate devastating false signals during prolonged sideways consolidations, MRTF dynamically shifts across five distinct market regimes—instantly distinguishing a high-conviction breakout from a dangerous, low-velocity trap.
💡 CORE DESIGN PRINCIPLES
🧭 Normalized Statistical Velocity Engine
Standard linear regression slopes fail when comparing different assets or volatile timeframes because their raw values depend entirely on the asset's nominal price. MRTF solves this by processing the raw slope (Beta Coefficient) through a dynamic ATR (Average True Range) normalization matrix. This transforms ordinary regression into a universal, percentage-based momentum tracker that remains stable across Bitcoin, Apple, or Gold.
🧬 Non-Repainting Multi-Layer Validation
The framework continuously evaluates two distinct algorithmic layers:
Statistical Trend Component: A localized rolling covariance engine that measures the geometric slope of the price index over a user-defined lookback window.
Structural Swing Component: A strict, non-repainting pivot tracking system that marks qualified market structures based on strict historical confirmations.
The structural intersection of these layers determines the definitive macro market regime.
💡 KEY FEATURES
📊 Five-State Market Regime Matrix
Instead of a binary "bull or bear" output, MRTF classifies the market into 5 actionable phases to optimize strategy execution:
Strong Bullish: Market structure is breaking higher (HH/HL) and the normalized channel slope is expanding aggressively upward.
Weak Bullish: Structural trend is upward but momentum is flattening, OR macro momentum is extremely bullish despite temporary structural breaks.
Ranging / Choppy: The absolute trend slope is compressed inside the dead-zone threshold. Capital preservation mode.
Weak Bearish: Structural trend is downward but selling momentum is stalling, OR macro momentum is sharply negative despite minor upward structural retracements.
Strong Bearish: Market structure is breaking lower (LH/LL) and the normalized channel slope is accelerating aggressively downward.
🧪 Advanced Chart-Scale Alignment (Log/Linear)
A critical feature engineered into MRTF is its manual Price Scale Mode switch. Because Pine Script cannot natively detect whether a user's visual chart layout is set to Logarithmic or Linear, MRTF provides an input enum to match your chart. This prevents the mathematical distortion of regression slopes on long-term logarithmic charts, ensuring accurate momentum readings.
🛡️ Non-Repainting Historical Swing Mapping
The indicator utilizes advanced pivot logic to identify valid structural peaks and troughs. By utilizing a fixed right-bar confirmation offset, the system completely eliminates the risk of signal repainting. Shapes are placed historically precisely where the structural pivot occurred, offering an uncorrupted look back at structural market transitions.
🔬 MATHEMATICAL ARCHITECTURE
If Scale Mode is Logarithmic:
Y_val = ln(Close)
If Scale Mode is Linear:
Y_val = Close
• Mean_X = SMA(bar_index, Length)
• Mean_Y = SMA(Y_val, Length)
• Mean_XY = SMA(bar_index * Y_val, Length)
• Cov_XY = Mean_XY - (Mean_X * Mean_Y)
• Variance_X = Variance(bar_index, Length)
• Raw_Slope = Cov_XY / Variance_X
• ATR_Val = ATR(Length)
If Scale Mode is Logarithmic:
Normalized_Slope = Raw_Slope * 100
If Scale Mode is Linear:
Normalized_Slope = (Raw_Slope / ATR_Val) * 100
🛠️ USAGE FRAMEWORK
1. Candlestick Regime Coloring
Monitor the color shifts of the live candlesticks to instantly identify the dominant institutional phase:
Bright Lime Candles: Strong Bullish Expansion. (Ideal for riding strong macro trend extensions).
Muted Green Candles: Weak Bullish Phase / Potential Exhaustion or Minor Retracement.
Gray Candles: Ranging / Choppy Environment. Tighten stop-losses, avoid breakout chasing, and look for mean-reversion setups.
Muted Maroon Candles: Weak Bearish Phase / Defensive Posture.
Bright Red Candles: Strong Bearish Expansion. (Ideal for capital preservation or short-side exposure).
2. Analytical Control Dashboard
The real-time HUD (Heads-Up Display) in the corner of your chart provides a synchronized summary of market health:
Scale Mode: Confirms whether your mathematical engine is aligned with your visual chart scale.
Norm Slope: Displays the exact normalized statistical momentum score. Values crossing outside your threshold indicate volatility expansions.
Market Structure: Shows the structural orientation based on valid pivot series (Bullish, Bearish, or Undetermined).
3. Structural Pivot Turning Points
The small red and lime triangles plotted on the chart mark confirmed structural swing points. Because they are fully non-repainting, they represent concrete psychological levels where institutional order flow shifted, making them excellent levels for placing structural stop-losses or identifying major support/resistance zones.
⚙️ SYSTEM CHARACTERISTICS
Zero Repainting: All background calculations, candlestick color shifts, and swing markers are mathematically locked upon bar close.
Fully Parameterized Controls: Seamlessly adjust regression lengths, swing confirmations, and slope thresholds to adapt the script to Scalping, Day Trading, or Macro Swing Trading.
Asset-Agnostic Engine: Works flawlessly across Equities, Forex, Crypto, Indices, and Commodities by converting absolute price tracking into standardized volatility metrics.
Custom Visual Themes: Every single regime color and dashboard location parameter can be customized within the user settings panel to fit clean dark or light chart aesthetics.
📌 CREDIT
The Market Regime & Trend Filter Pro (MRTF) is officially engineered and published by gunebak4n on PulseWire.
This script is built for professional traders who prioritize statistical clarity and structural confirmation over erratic, lagging indicators or noise-heavy lagging moving averages.
⚠️ DISCLAIMER
MRTF is a probabilistic statistical mapping model designed for data visualization. It does not issue absolute trading recommendations, financial advice, or automated profit guarantees. Always backtest your parameters and manage your risk exposure strictly according to your personal trading plan. Indicator
Heisenberg Uncertainty Bands [JOAT]HEISENBERG UNCERTAINTY BANDS
A novel band-and-state engine inspired by the Heisenberg uncertainty principle: the recognition that for a market, just as for a quantum particle, you cannot simultaneously be certain about both position (where price is) and momentum (how fast it is moving). Heisenberg Uncertainty Bands measures both uncertainties, tracks their empirical floor, classifies the current market into one of three quantum-inspired states — pure position |x⟩, pure momentum |p⟩, or mixed |ψ⟩ — and projects bands around price accordingly.
The principle, translated
In quantum mechanics, Δx · Δp ≥ ℏ/2 — the product of the position uncertainty and the momentum uncertainty cannot fall below a constant called Planck's reduced. For markets the analogue is:
Δx — the rolling standard deviation of price over a configurable window. The uncertainty in where price is sitting.
Δp — the rolling standard deviation of returns (log or arithmetic, configurable) over a separate window. The uncertainty in how fast price is moving.
ℏ̂ (hbar-hat) — the EMA-smoothed long-run product Δx · Δp. The script's empirical estimate of the market-specific lower bound.
Just like in physics, when the market is certain about position (price has been stable), it becomes uncertain about momentum (next direction is unknown) — and vice versa. The script measures both, computes the product, compares it to the empirical floor, and uses the ratio Δx/Δp as the state classifier.
Three quantum states
Pure Position State |x⟩ — Δx/Δp below the position threshold (default 0.40). Price is constrained to a tight band; the next directional move is uncertain. Yellow palette.
Pure Momentum State |p⟩ — Δp/Δx below the momentum threshold (default 0.40). Direction is committed; the range is widening. Magenta palette.
Mixed State |ψ⟩ — neither pure state condition holds. Violet palette.
The state badge on the right of the chart shows the bra-ket glyph (Unicode |x⟩ / |p⟩ / |ψ⟩ by default; can fall back to plain POS / MOM / MIX if your font lacks the brackets). A state cooldown (default 3 bars) debounces flicker.
Band projection
Two band families are projected around the live mid price:
Position bands — mid ± k × Δx. Solid by default. The classic "how wide is price ranging right now" envelope.
Momentum bands — mid ± k × (Δp scaled to the price axis). Dashed by default (configurable: Dashed / Dotted / Solid). Projected so their visual range matches the position bands.
When the two families are far apart in width, the state is decisive (|x⟩ if position is much tighter, |p⟩ if momentum is much tighter). When they are similar, the state is mixed.
Optional uncertainty-score candle tint
A toggleable layer recolours each candle based on how far the current Δx · Δp product deviates from the empirical floor ℏ̂. When the product is at the floor, the market is at its quantum-mechanical minimum — the most decisive setup; further from the floor means the market is "spending uncertainty" on both axes simultaneously.
Visual system
Position bands (solid, gradient fill optional).
Momentum bands (dashed / dotted / solid).
Mid line (style configurable).
State badge (right-side floating, configurable offset and size).
Background tint by state (configurable transparency, institutional default).
Optional candle re-tint by uncertainty score.
A locked Plasma palette (yellow position / magenta momentum / violet mixed on a deep-void ground) gives the chart a distinctive physics-inspired identity.
Dashboard
Monospaced table, positionable to any of nine corners, optional compact-no-header mode. Surfaces:
Current Δx and Δp values.
Δx · Δp product and its ratio to the ℏ̂ floor.
Δx / Δp ratio (drives the state).
Current state (|x⟩ / |p⟩ / |ψ⟩) with bar age.
Last state change with bars-ago.
Return mode (Log / Arithmetic) in use.
Alerts
Three alert conditions:
Pure Position State entry
Pure Momentum State entry
Mixed State return
How to read it
Two reads, in order of conviction:
Pure Momentum State |p⟩ entry is the script's directional commitment signal. Momentum has decisively exceeded position uncertainty — the move is real. Trend-following tools and breakout entries become high-conviction.
Pure Position State |x⟩ is the coil. Range has clamped down, direction is undecided. Reversion tools become high-conviction inside the band; the next state transition (back to |ψ⟩ or jumping to |p⟩) often produces a decisive breakout.
When Δx · Δp is close to ℏ̂ (the empirical floor) the market is at its most efficient — there is no slack in either axis to spare. These bars often coincide with the cleanest reversals and breakouts; the candle-tint layer is there specifically to highlight them.
Suggested settings
Defaults (position window 20, momentum window 20, hbar smoothing 100, k = 2.0, state threshold 0.40) are tuned for 15m–4H on liquid markets. For lower timeframes drop both windows to 10–14. For HTF (4H+) raise both to 30–50. Log returns are the theoretically-correct mode and the recommended default; switch to Arithmetic only if your instrument has trivially small price scale.
Originality
The implementation — the Δx / Δp dual-uncertainty pipeline, the EMA-smoothed empirical ℏ̂ floor, the three-state quantum-inspired classifier with bra-ket labelling, the dual-band projection with auto-scale, the uncertainty-score candle tint, the cooldown-debounced state machine, and the plasma palette — is JOAT-original. No third-party code reused. The Heisenberg principle is fundamental physics; the financial-market analogue and its implementation here are original work.
Limitations
The Heisenberg analogy is structural, not literal — markets do not obey the quantum-mechanical commutator relation; the script uses the concept of an inviolable joint-uncertainty floor as a market-regime classifier. The empirical floor ℏ̂ is estimated by EMA over a long window (default 100 bars) — on instruments with very short history the floor is approximate. State classification can flicker across the threshold; the cooldown is there to suppress this and is tunable.
—
-made with passion by jackofalltrades
Indicator
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Indicator
Solana Day Trader 1.08.1
SOLANA DAY TRADER 1.08.1 Final Version
Multi-timeframe capitulation entry system for SOL perpetual futures
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WHAT IT DOES
Solana Day Trader identifies high-probability long entries during washout conditions — the sharp, wick-heavy drops where weak hands are flushed out before a mean-reversion recovery. It monitors the 15m, 30m, and 1h timeframes simultaneously and grades each potential entry from BASE through SCALE to FULL based on how much confirming evidence lines up.
The result is a live multi-timeframe dashboard that shows exactly where each timeframe stands — gate status, entry tier, confluence score, regime quality, liquidity levels, and active exit signals — all in one panel.
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HOW IT WORKS
The system runs three filters in sequence. All three must pass for a FULL-tier entry; failing the third downgrades to SCALE or BASE.
1 — CAPITULATION GATES (must both pass)
The Williams VIX Fix (WVF Filtered) fires when the current low relative to recent highs reaches an extreme — the volatility-squeeze signature of a washout wick. A Fair Value Gap (FVG) must also be present: a 3-bar price imbalance that confirms institutional order flow was present at the move. Together these two gates filter out ordinary pullbacks and focus attention on structural lows.
2 — CONFLUENCE SCORE (determines BASE vs SCALE)
Once the gates pass, four factors add to a score: EMA 9>21 alignment, a VIDYA adaptive moving average in bull posture, OBV slope pointing upward (contrarian — rising buy-side pressure into the low), and a signed-volume DELTA measure. The score floor for BASE is 1; SCALE requires 2 or higher. Each weight is adjustable, and any factor can be zeroed out to simplify the model.
3 — REGIME GATE (SCALE → FULL escalation)
FULL tier requires the market to be in a ranging, low-momentum state: ADX below the configured threshold (default 25). High-ADX trending markets favor momentum strategies; low-ADX ranging markets are where mean-reversion setups have the clearest edge. Optionally, a BTC bull requirement can be added as an additional gate for FULL.
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THE DASHBOARD
The panel (default: middle-right, toggleable) displays a 3-column layout — one column per timeframe (15m / 30m / 1h) — with the active chart timeframe highlighted.
Row by row:
TIER — BASE / SCALE / FULL (or blank if no signal)
SIGNAL — current trade status (GET IN / IN TRADE / EXIT FULL / RE-ENTRY / etc.)
WVF — armed (✓) or not
FVG — armed (✓) or not
TQI gate — gating status when TQI gate is enabled
TQI — Trend Quality Index value (0–1), used for the optional gate and char-flip exit
Score — current confluence score
ADX < — ADX value vs. the FULL-tier threshold
REGIME — GREEN / YELLOW / RED composite regime
HTF / EMA — higher-timeframe EMA bias
ATF / BTC — adaptive trend fit classification + BTC lead direction
VWAP / OBV — swing VWAP position + OBV state
LEVELS — structural stop and ATR-based stop levels
Liq ↑ — nearest auto-detected sell-side liquidity above (resistance pool)
Liq ↓ — nearest auto-detected buy-side liquidity below (support pool)
OBSERVABLES — MBI, CVI, BBAWE, Bull Pressure composite line
Sweep — per-TF liquidity sweep detection
GATES — WVF / FVG gate arm state
GREEN regime = trending higher with measured momentum, favorable for recovery.
YELLOW regime = intermediate / mixed — entries here carry more risk.
RED regime = downtrend or high-volatility chop — approach with caution.
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EXIT SIGNALS
Four exit conditions are available (each independently toggleable):
• BB Break — closes below the Bollinger lower band; thesis invalidated
• WVF Top — volatility-spike exhaustion reading; momentum likely stalling
• CVI Top — CVI exhaustion signal at extended levels
• Char-Flip (default OFF) — TQI collapse: trend quality deteriorates sharply after entry
The dashboard SIGNAL row tracks trade state and flags when any exit fires. A re-entry signal also activates after a full exit if the entry conditions re-arm within the configured watch window.
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MANUAL TRADE PROJECTION
When you enter a trade, toggle "I am currently in a trade" ON and type your entry price into "My entry price." The indicator draws TP and SL lines on the chart so you can see your risk/reward at a glance. Toggle OFF when you exit.
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ALERTS
Three alert conditions are available — one per tier — so you can be notified on BASE, SCALE, and/or FULL fires independently. Configure in the Alert Filtering settings group.
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RECOMMENDED SETUP
Chart: SOL/USDT or SOLUSDT perpetual, any supported exchange.
Timeframe: 15m is the primary display TF. The indicator reads 15m, 30m, and 1h internally regardless of which TF the chart is set to, but the dashboard highlights whichever matches your chart.
Defaults: WVF gate ON, FVG gate ON, ADX threshold 25, all three timeframes enabled. These are sensible starting points — the system is designed to be used as-is.
The most conservative approach is to trade FULL-tier signals only during GREEN regime. BASE and SCALE signals in YELLOW regime are valid setups but carry wider outcome distributions.
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SETTINGS GROUPS
Display — panel location/size, chart overlays (BB bands, WVF markers, EMA/SMA lines), trade projection toggle and entry price.
Entry Engine — timing windows (core arm, active trade, exit escalation, cooldown, re-entry).
Gate Stack — toggle WVF, FVG, TQI gates and the BB anti-signal individually.
Tier Escalators — ADX threshold for FULL tier.
Exit Signals — toggle each exit condition independently.
Cores — toggle EMA and VIDYA cores.
Confluence Score — individual weights for EMA, VIDYA, OBV, DELTA; score floor for BASE and SCALE/FULL.
Regime Escalator — BTC — optional BTC bull requirement for FULL-tier entries.
Alert Filtering — enable/disable alerts per tier.
Regime Context — HTF bias timeframe, EMA lengths, ADX length, ATF settings, BTC symbol.
Timeframes — enable/disable 15m, 30m, 1h independently; per-TF entry offset bars.
GATE — WVF Filtered — WVF period, Bollinger parameters, range lookback, arm window.
GATE — FVG — minimum gap height as % of price.
GATE — TQI — Trend Quality Index lengths and thresholds (informational unless TQI gate is enabled).
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ATTRIBUTION
Williams VIX Fix methodology originally by LazyBear.
VIDYA adaptive moving average component from BigBeluga's Volumatic VIDYA.
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This indicator is built for SOL perpetual futures. It is a decision-support tool, not a signal service. All entries and exits are your own decision. Past entry conditions do not guarantee future results.
Indicator
TW - Dual FlowZone MA Clouds## Dual FlowZone MA Clouds
Dual FlowZone MA Clouds is a trend visualization indicator designed to help traders quickly identify market direction, trend strength, and potential transitions before they become obvious.
Unlike traditional moving average indicators that simply plot one or two averages, Dual FlowZone MA Clouds uses two independent FlowZones to provide both short-term momentum and longer-term trend context in a single, easy-to-read visualization.
FlowZone A is designed to help identify momentum, pullbacks, and trend continuation, while FlowZone B provides higher timeframe directional bias and market context. When both FlowZones align, traders can quickly recognize strong trending conditions. When they diverge, the market may be transitioning or losing participation.
### Flow Status Table
The optional Flow Status table provides an instant summary of current market conditions without requiring traders to interpret multiple moving averages.
The table displays:
* **Primary Flow** – Current direction of FlowZone A (Bullish, Bearish, Neutral, or Weakening)
* **Secondary Flow** – Current direction of FlowZone B
* **Alignment** – Indicates whether both FlowZones are aligned or providing mixed signals
This allows traders to assess overall trend bias with a quick glance before analyzing price action.
### ORB-Style Visual Design
The Flow Status table uses the same visual style as the Traders Workshop ORB Sessions indicator, providing a consistent interface across the indicator suite.
### Chart Labels
When a FlowZone crossover occurs, optional chart labels identify the signal directly on the chart, making it easy to review historical trend changes without searching through moving average crosses.
The indicator also supports optional Flow Dots and subtle background bias to provide additional visual confirmation while keeping the chart clean and uncluttered.
### Features
• Two fully independent Moving Average FlowZones
• Supports SMA, EMA, WMA, RMA, VWMA and HMA
• Configurable MA lengths, colors and line widths
• Dynamic bullish, bearish and transition cloud coloring
• Optional Flow Status dashboard
• Optional crossover markers
• Optional Flow Dots
• Optional background trend bias
• Individual alerts for crossovers, trend changes and FlowZone alignment
Dual FlowZone MA Clouds is designed to complement price action—not replace it. Use it alongside market structure, volume, VWAP, auction concepts, and support/resistance to better understand trend quality and directional bias.
---
**Part of the Traders Workshop indicator collection**
**Real Trading. Real Testing. Real Results.**
Indicator
Pure CVD MACD (Momentum of Delta)Overview
Traditional MACD indicators are fantastic at measuring the momentum of price, but they are entirely blind to the actual order flow driving that price. The Pure CVD MACD shifts the focus from the result (price action) to the cause (market aggression).
Instead of asking "Are there more buyers or sellers?", this indicator asks "Is the buying or selling pressure accelerating or decelerating?"
Built using Pine Script Version 6 and the new ta.requestVolumeDelta function, this script calculates a classic MACD (Moving Average Convergence Divergence) entirely on the raw Cumulative Volume Delta (CVD), completely independent of price. This provides an institutional-grade look at the momentum of order flow.
How It Works
The script calculates a continuous Cumulative Volume Delta line by scanning lower timeframe data to find the exact net difference between buying and selling volume. It then applies standard MACD logic to that CVD line:
MACD Line (Blue): The difference between a Fast EMA and Slow EMA of the volume delta.
Signal Line (Orange): An EMA of the MACD Line itself.
Histogram: The visual difference between the MACD Line and the Signal Line, color-coded to show momentum shifts.
Key Order Flow Concepts to Trade
Momentum Shifts (Zero-Line Crossovers): When the histogram crosses above the zero line (Blue crosses over Orange), the volume delta is gaining bullish momentum. Even if the macro trend is down, this shows aggressive buyers are stepping in and accelerating their pace. A cross below zero signals accelerating bearish pressure.
Exhaustion (Histogram Fades): Watch for the color fades (Teal to Dark Teal, or Red to Dark Red). If you are watching a massive sell-off and the histogram prints a "Dark Red" bar, the selling pressure is decelerating. Sellers are running out of ammunition, often signaling an impending reversal.
Hidden Divergence: Compare the Pure CVD MACD to the price chart. If the price is grinding upward to make a Higher High, but the CVD MACD is crossing bearishly below its Signal Line, the breakout is running on fumes and a trap is likely being set.
Settings Breakdown
Anchor & Lower Timeframe: Defines the starting point for the cumulative delta and the timeframe used to calculate the intra-bar buying/selling volume. By default, it automatically selects the best lower timeframe.
Fast / Slow EMA Lengths (Default 12, 26): The lookback periods used to track the short-term vs. long-term trend of the volume delta.
Signal EMA Length (Default 9): The trigger line used to spot early momentum shifts in the delta.
Best Practices
Because this indicator measures the momentum of order flow rather than absolute volume, it pairs exceptionally well with structural price analysis or liquidity zones. When price taps a major support level and the Pure CVD MACD prints a bullish divergence or a histogram fade, you have highly confluent evidence that the level will hold. Indicator
Strategy
Adaptive SuperTrend -, Regime Filter & Buy/Sell Signals [LunqFX]Adaptive SuperTrend is a self-tuning trend indicator for PulseWire that fixes the biggest flaw of the classic SuperTrend: a fixed multiplier that whipsaws in choppy markets and lags in fast ones. This version makes the SuperTrend multiplier adaptive — it automatically widens in high volatility and tightens in low volatility — and layers a regime filter and a momentum filter on top to deliver clean, non-repainting Buy/Sell signals with an automatic take-profit / stop-loss ladder and live performance stats. It works on forex, crypto, stocks, indices, futures, gold (XAUUSD) and Bitcoin (BTCUSD), on any timeframe, for scalping, day trading and swing trading. Built in Pine Script v6. Keywords: adaptive supertrend, supertrend, trend, trend following, buy sell signals, regime filter, ATR trailing stop, volatility, momentum, take profit, stop loss, risk reward, trend reversal, no repaint, scalping, day trading, swing trading.
◆ WHY ADAPTIVE
A normal SuperTrend uses one fixed multiplier for every market and every condition, so it gets shaken out in volatile phases and reacts too slowly in calm ones. Adaptive SuperTrend ranks current volatility against its own recent history (0–100%) and maps that onto a multiplier range — wide when the market is wild, tight when it is calm — with zero manual tuning. The same settings behave sensibly on EURUSD, BTCUSD and the S&P 500.
◆ WHAT IT DOES
Adaptive trend line + fill — a volatility-adjusted trailing stop that flips turquoise (up) / magenta (down).
Filtered Buy/Sell signals — a trend flip only fires as a signal when two filters agree.
Auto TP/SL ladder — on every signal it draws the stop (on the trend line) and TP1 / TP2 / TP3 at 1R / 2R / 3R, so you get a complete trade plan instantly.
Conviction Score 0–100 — one number summarising how strong the current setup is.
Live win-rate stats — the script tracks its own past signals on the fly.
Neon trend candles + a clean live dashboard.
◆ HOW IT WORKS (the concepts)
Adaptive multiplier: ATR is ranked by percentile over a lookback window; the percentile sets the SuperTrend multiplier between your min and max.
SuperTrend core: the standard trailing-stop formula, flipping direction when price closes beyond the band.
Regime filter (Kaufman Efficiency Ratio): directional travel divided by total path = how trending vs choppy the market is. Signals are blocked in low-efficiency (range) conditions to cut false signals.
Momentum check: a flip is only taken when price is on the matching side of its momentum EMA.
Conviction Score: a weighted blend of trend efficiency, momentum agreement and trend-line slope (0–100).
Live stats: each signal is tracked sequentially — a “win” = price reaches TP1 (1R) before the stop — with no lookahead.
◆ HOW TO USE IT
Take BUY / SELL labels in the direction of the new trend; the SL and TP1/2/3 ladder give you the exact plan and risk/reward.
Favour signals with a high Conviction Score and a TRENDING regime; stand aside when the dashboard shows RANGE.
Manage the trade to TP1/TP2/TP3 or trail with the adaptive line.
Tune Min/Max multiplier for tighter or looser stops and Efficiency threshold for how strict the range filter is.
Combine with your own support/resistance, structure or higher-timeframe bias for confluence.
◆ SETTINGS
Adaptive Trend: ATR length, min/max multiplier, volatility window.
Regime Filter: on/off, efficiency length, trend threshold.
Momentum Check: on/off, momentum EMA.
Visuals: trend fill, glow, neon candles, Buy/Sell labels.
Trade Levels & Stats: auto TP/SL ladder, live signal stats.
Panel: show/hide, position, background, accent.
◆ ALERTS
Buy signal · Sell signal · Trend flip up · Trend flip down.
◆ ORIGINALITY
The SuperTrend trailing-stop formula is a standard, public technique, implemented here from scratch. The adaptive volatility-percentile multiplier, the regime filter integration, the Conviction Score, the R-based TP/SL ladder and the live win-rate engine are my own original work. No third-party or copied code is used.
◆ LIMITATIONS
This is a trend/volatility tool, not a complete system — always confirm with price action and risk management.
Like all trend-following tools, it can chop in tight ranges; the regime filter reduces but cannot eliminate this.
The fixed-R stop in the ladder is a planning aid (constant 1R), separate from the trailing adaptive line — they are different stops by design.
The live win-rate is the indicator’s own TP1-vs-stop estimate; if a single bar tags both the stop and TP1 it is counted as a win, so treat the stat as indicative, not exact.
Past performance and live stats do not guarantee future results.
◆ NON-REPAINTING
Trend, regime, signals and stats are computed from confirmed bar data with no security() lookahead. A signal printed on a closed bar stays. As with any live tool, the forming bar updates in real time and settles on close.
Adaptive SuperTrend is an educational analysis tool, not financial advice. Always do your own research and manage risk. © LunqFX. Indicator
Indicator
Indicator
[ A L P H A X ] MERIDIAN - Session Intelligence EngineAlphaX MERIDIAN — Session Intelligence Engine: Multi-Session Range Tracking, Prior Session Break & Retest, Opening Range Breakout, Meridian Bounce & 7-Layer Confluence Scoring
AlphaX MERIDIAN is a professional-grade session-based trading system built around the foundational truth that institutional price delivery is not random across the clock — it is organized by session. The Asian session defines the overnight range. London breaks it. New York confirms the direction or reverses it. Every major intraday move originates from one of three specific events: a break and retest of the prior session's high or low, a breakout of the opening range, or a pullback to the session's meridian equilibrium level. MERIDIAN detects all three in real time across all three global trading sessions, scores every potential entry through a 7-layer confluence engine, and fires signals only when session bias, VWAP positioning, HTF alignment, volume, and setup quality all confirm simultaneously. The result is a system that puts every trade in its correct session context — not just where price is, but which session it is in , what the prior session established , and where the institutional session bias currently sits . Designed for active traders across forex, gold, indices, and crypto on M1 through H1 timeframes.
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🌐 The Session Framework — Why Sessions Define Institutional Flow
Every liquid market is driven by three geographically separated groups of institutional participants operating in overlapping but distinct time windows: Asian banks and sovereign funds, European institutional desks and London market makers, and American institutional desks and New York banks. Each group has a characteristic trading behavior that shapes price during their active window.
Asian Session — The Range Builder:
During Asian hours, liquidity is thinner and price tends to consolidate or range within a defined high-low channel. The Asian session range represents the overnight consolidation — the zone where price equilibrates before the European open. The extremes of the Asian range are the first liquidity pools that London will target.
London Session — The Trend Initiator:
London is the world's most liquid trading session. European institutional desks frequently break the Asian range in the first hours of the London open — hunting the liquidity sitting above and below the overnight extremes before establishing the day's primary directional trend. The London opening range (the first N minutes of the session) frequently establishes the high or low of the day.
New York Session — The Confirmer or Reverser:
New York either confirms the London trend with continuation, or reverses the late-London move in the early New York hours. The London/NY overlap (typically 13:00–17:00 UTC) is the highest-volume period of the day and frequently produces the largest directional moves.
MERIDIAN is built around this three-session cycle. The prior session's high, low, and meridian are the key reference levels. The opening range of London or NY is the breakout reference. The session VWAP and meridian divide the current session into institutional premium (above) and discount (below). Every signal is evaluated in the context of which session it occurred in and what the prior session established.
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⏱ Session Tracking Engine
MERIDIAN runs a fully independent session tracking system for all three global sessions simultaneously, configurable to any timezone.
Session detection:
Each session is defined by a configurable start and end hour in the selected timezone (default: UTC). The session engine detects the active session on every bar and correctly handles overnight sessions (sessions that span midnight). When no configured session is active, the system enters an OFF state and session-based calculations pause.
Session-by-session OHLC tracking:
From the first bar of each session, MERIDIAN tracks the rolling high, low, and open of the session in real time. Every new bar within the session extends these values — the session high and low expand with price, and the session meridian recalculates continuously as the range develops.
Session transition logic:
When a session changes, the completed session's high, low, and meridian are stored as the prior session reference. These prior session values persist until the next completed session overwrites them — giving you continuous access to the most recently completed session's key levels at all times.
Session VWAP (Volume Weighted Average Price):
A true session-anchored VWAP is computed from the first bar of each session — cumulative volume-weighted price divided by cumulative volume since the session open. This produces the purest possible VWAP calculation anchored to the correct institutional reference point: the session's opening bar.
Session Meridian (Equilibrium):
The midpoint of the current session's high-low range — (session high + session low) / 2. This level is the MERIDIAN line, plotted as a purple dotted line on the chart. It represents the current session's equilibrium — above is institutional premium, below is institutional discount, relative to where the session has traded.
Current session box:
The full range of the active session is visualized as a lightly tinted box extending from the session start bar to the current bar. Asian session boxes are gray, London boxes yellow-green tinted, and New York boxes red-tinted — providing immediate visual session identification across the chart.
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📍 Prior Session Levels — The Institutional Reference Grid
The most important reference levels in intraday trading are the extremes established by the prior session. These are not arbitrary horizontal lines — they represent the boundaries of the range where an entire session's worth of institutional activity occurred. Breaking these levels is how one session's institutional participants establish control over the next session's price delivery.
Prior Session High (red dashed):
The highest price reached during the most recently completed session. This is the sell-side resistance level — the level above which bears were unable to sustain prices in the prior session. A close above this level in the current session is a significant break of prior institutional resistance.
Prior Session Low (yellow-green dashed):
The lowest price of the prior session. This is the buy-side support level — where buyers successfully defended price in the prior session. A close below this level represents a break of prior institutional support.
Prior Session Meridian (purple dotted):
The midpoint of the prior session's range. This level frequently acts as a magnet — price is drawn to the prior session's 50% level on pullbacks, retracements, and continuation moves. It represents the most-traded price zone of the prior session in range-position terms.
All three prior session levels are plotted as forward-extending lines covering the relevant history window. The prior session name (ASIAN / LONDON / NEW YORK) is displayed on the dashboard so you always know which session's levels you are referencing.
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📦 Opening Range — The First N Minutes
The Opening Range (ORB) is one of the most consistently respected intraday reference structures across all liquid markets. It represents the range established in the first configurable number of minutes of the London or New York session (default: 30 minutes). Once the opening range is set, breakouts above and below its boundaries frequently produce the day's strongest directional moves.
How the opening range is built:
From the first bar of each London or New York session, MERIDIAN accumulates the highest high and lowest low across all bars that fall within the opening range time window. Once a bar falls outside the ORB time window, the range is locked — the ORB high and ORB low are fixed for the remainder of the session.
ORB visualization:
The completed opening range is rendered as an orange-tinted box on the chart, spanning from the first ORB bar to the last ORB bar. This box remains on the chart as a reference level for the session.
Dashboard ORB status:
The dashboard displays the ORB status as FORMING (while the range is still building) or SET (once locked), along with the exact ORB high and low prices. This gives you advance notice before the ORB is complete — you can watch it forming in real time and prepare for the Setup B breakout signal.
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📊 Session Bias — VWAP and Meridian Positioning
MERIDIAN defines the current session's directional bias through two independent price positioning checks that together create a clear institutional bias reading.
VWAP bias:
Price above the session VWAP indicates institutional net-buying for the session — the volume-weighted average of all transactions favors the bull side. Price below indicates net-selling. The VWAP bias is updated on every bar as new volume flows in.
Meridian bias:
Price above the session meridian (the session range midpoint) means price is in the upper, premium half of the session range. Price below is in the discount half.
Combined session bias:
sessBull — price is both above VWAP and above the session meridian. Both the volume-weighted and range-position measures confirm bullish institutional bias
sessBear — price is both below VWAP and below the session meridian. Both measures confirm bearish institutional bias
This combined bias is the most important single dashboard reading in MERIDIAN. A bullish session bias means the institutional context favors long entries. A bearish session bias favors shorts. Entries against the combined session bias carry the highest failure rate of any MERIDIAN setup.
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🏷 Three Setup Types — A, B, and C
MERIDIAN fires signals through three distinct setup configurations, each representing a different institutional entry scenario anchored to session-based reference levels. All three can be enabled simultaneously.
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Setup A — Prior Session Break & Retest
The most institutionally significant setup type. Fires when:
The current session's price closes above the prior session high (long) or below the prior session low (short) — the structural break of the prior session's boundary
Within 30 bars of the break, price pulls back to within ATR tolerance of the broken level
A qualifying rejection candle forms at the retest — confirming the broken level has flipped from resistance to support (long) or support to resistance (short)
Why prior session break and retest is the highest-quality setup: When London breaks the Asian high and then retests it, the break has been confirmed as a genuine institutional breakout rather than a wick spike. The retest at the prior session level provides the optimal entry price — buying exactly at the prior resistance that has now become support, with the stop below the level and the continuation target above. This is the institutional "break, retest, continue" sequence that produces the cleanest risk/reward in session-based trading.
Break detection markers: Small semi-transparent circles appear above (prior high break) or below (prior low break) the bar that closes through the prior session boundary — alerting you that a pending retest setup is now active. The system tracks the pending retest for up to 30 bars. If no qualifying retest occurs within that window, the pending state expires.
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Setup B — Opening Range Breakout
The high-momentum setup type. Fires when:
The opening range has been fully set (ORB locked after the opening range period has elapsed)
Price closes above the ORB high (long) or below the ORB low (short) — the first close-based break of the opening range boundary
The close is on the correct side of the prior bar's close relative to the ORB level — confirming the break is not a wick through and back
A qualifying bull or bear rejection candle (minimum 50% wick ratio) confirms the breakout bar's directional commitment
Why the ORB breakout is a high-conviction institutional signal: The opening range represents the indecision of the first N minutes of a session — the market testing price levels before committing to a direction. The first body close beyond the ORB boundary is the signal that the indecision has resolved and institutional order flow has committed to a direction. The rejection candle requirement ensures the break was not passive drift but a genuine directional conviction bar.
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Setup C — Meridian Bounce
The continuation and trend-following setup type. Fires when:
The session bias is fully established (sessBull for long, sessBear for short)
Price pulls back to within ATR tolerance of the session meridian (the session range midpoint)
A qualifying rejection candle forms — confirming the meridian held and price is rejecting back in the bias direction
Why the meridian bounce is a reliable continuation entry: In a trending session where price is above VWAP and above the session midpoint (sessBull), the meridian represents the natural pullback target — the highest-volume price zone within the session's lower half. Institutional buyers who missed the initial move use meridian pullbacks to add to positions. The rejection at the meridian in a sessBull environment is the continuation entry that offers the tightest stop (just below the meridian) with the continuation toward the session high as the target.
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🧠 The 7-Layer Confluence Engine
Every potential entry across all three setup types is scored through the same 7-layer confluence engine. The minimum default is 5 of 7.
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Layer 1 — Session Bias (Combined)
Awards 1 point when the combined session bias (sessBull for long, sessBear for short) agrees with the signal direction. This requires both VWAP positioning and meridian positioning to be aligned — the strongest single session-level directional indicator available.
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Layer 2 — VWAP Positioning
Awards 1 point when price is on the correct side of the session VWAP — above for longs, below for shorts. The VWAP layer is available independently from the combined session bias layer. On bars where price is above VWAP but below the meridian (or vice versa), the session bias may not score but the VWAP layer still contributes.
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Layer 3 — HTF Bias
Awards 1 point when the higher timeframe EMA structure (default: 60-minute, 21/55 EMA pair) agrees with the signal direction. Ensures the session-level setup is aligned with the macro institutional flow. A session setup against the HTF trend carries the highest failure rate of any setup type.
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Layer 4 — Trading Session Enabled
Awards 1 point when the current session is one of the configured tradeable sessions (London and NY on by default, Asian off by default). This layer enforces session selectivity — preventing signals from firing during sessions you have chosen not to trade. If the Asian session is disabled for trading, Asian session signals are blocked at this layer regardless of how strong the other confluences are.
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Layer 5 — Volume Expansion
Awards 1 point when the current bar's volume exceeds the volume moving average by the configured minimum multiplier (default: 1.1×). Confirms that the rejection candle or breakout bar has genuine institutional participation behind it — not a low-volume drift through a reference level.
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Layer 6 — Rejection Candle Quality
Awards 1 point when a qualifying bull or bear rejection candle is present. Bull rejection requires a bullish close with the close-to-low distance exceeding 50% of the bar range. Bear rejection requires a bearish close with the high-to-close distance exceeding 50%. This layer ensures the reference level produced a visible, decisive price rejection — not a passive touch.
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Layer 7 — Setup Type Trigger
Awards 1 point when any of the three enabled setup types fires on the current bar — a prior session retest (Setup A), an ORB breakout (Setup B), or a meridian bounce (Setup C). This layer is both a confluence score contributor and a hard prerequisite — no signal can fire without at least one setup type triggering.
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🕯 Rejection Candle Confirmation
All three setup types require a qualifying rejection candle for a signal to fire. Two candle types qualify:
Bull rejection: A bullish close (close above open) where the distance from close to bar low exceeds 50% of the total bar range. The bar closed in its upper half — buyers dominated and rejected the level being tested.
Bear rejection: A bearish close where the distance from bar high to close exceeds 50% of the total range. The bar closed in its lower half — sellers dominated the rejection.
The same 50% wick threshold applies across all three setup types, ensuring every MERIDIAN signal has a consistent, minimum candle quality standard regardless of which session event triggered it.
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🎯 Session-Anchored Stop Loss Placement
MERIDIAN places the stop loss at the most conservative of several session-based reference levels, plus an ATR buffer.
For bull signals: The stop is placed at the minimum of the current bar's low, the prior session high (the retested level), the ORB low (if applicable), and the session meridian — whichever is lowest — minus the configured ATR buffer (default: 1.0× ATR). This ensures the stop is beyond the level that would structurally invalidate the signal.
For bear signals: The stop is at the maximum of the current bar's high, the prior session low, the ORB high, and the session meridian, plus the ATR buffer.
Dynamic TP target: The take profit is computed as `risk × R multiple` (default: 2.5R) from the entry close — adapting to the actual stop distance rather than using a fixed ATR projection. On entries where the session reference stop is very close to entry, this naturally produces a tighter target; on wider stops, the target scales accordingly.
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📊 Live Dashboard
The 16-row real-time dashboard displays the complete internal state across five sections.
SESSION
Active — the currently active session: ASIAN, LONDON, NEW YORK, or OFF
VWAP Bias — ▲ ABOVE or ▼ BELOW, showing whether price is above or below the session VWAP. Color-coded yellow-green and red
Meridian — the exact price of the current session's equilibrium midpoint (session high + low / 2), color-coded purple
PRIOR SESSION
Prior Sess — which session completed most recently: ASIAN, LONDON, or NEW YORK
Prior Hi / Lo — the exact high and low of the prior session displayed as a price pair. These are the Setup A reference levels
OPENING RANGE
ORB Status — FORMING (still within the ORB time window) or SET (locked, breakout mode active). Orange when SET
ORB Hi / Lo — the exact opening range high and low prices once the range is locked
FILTERS
HTF Bias — higher timeframe EMA alignment: ▲ BULL, ▼ BEAR, or — FLAT
CONFLUENCE
Bull Score — live 0–7 score. Background highlights yellow-green when threshold is met
Bear Score — live 0–7 score. Background highlights red when threshold is met
Live confluence label: During active sessions, a small label near the session box displays B x/7 · S x/7 in real time, updated every bar — identical to ANCHOR, PIVOT, and the other systems in the AlphaX suite.
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📈 Chart Visual System
Current Session Box — a lightly tinted box covering the full range of the active session from its first bar to the current bar. Gray for Asian, yellow-green tinted for London, red tinted for New York
Session VWAP (cyan) — the volume-weighted average price anchored to the session start, plotted as a solid cyan line. The most important intraday reference for institutional fair value
Session Meridian (purple dots) — the session range midpoint (50% of the current session's high-low range), continuously updated
Prior Session High (red dashed) — the completed prior session's high. Setup A reference level for long setups
Prior Session Low (yellow-green dashed) — the prior session's low. Setup A reference level for short setups
Prior Session Meridian (purple dotted) — the midpoint of the prior session's range
Opening Range Box (orange tinted) — the locked ORB from the session start to the end of the opening range period. Setup B reference box
● Break markers (semi-transparent circles) — appear above the bar (prior high break) or below (prior low break) at the moment of the structural break, signaling a pending retest opportunity
▲ Triangle (below bar, yellow-green) — long signal. All conditions confirmed across any of the three setup types
▼ Triangle (above bar, red) — short signal
Live confluence label — B x/7 · S x/7 near the current session range on the last bar
SL Guide (red dotted circles) — session-anchored stop loss reference level
TP Guide (yellow-green dotted circles) — dynamically computed reward target
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🚀 How to Trade with AlphaX MERIDIAN — Step by Step
Step 1 — Begin Each Session with a Reference Review
At the start of each London or NY session, check the dashboard for Prior Hi / Lo — these are your key Setup A reference levels for the session
Note the ORB Status — during the first 30 minutes of London or NY, watch the ORB forming. The ORB Hi / Lo will be your Setup B breakout reference once SET
Check HTF Bias — does the higher timeframe trend favor longs or shorts? This is the filter that determines which direction's signals you prioritize
Step 2 — Monitor Session Bias Development
As the session opens and develops, watch the VWAP Bias and Meridian rows on the dashboard. When both show ▲ ABOVE, the session bias is fully bullish — prioritize long setups. Both ▼ BELOW = prioritize shorts
Watch the live B/S score label near the session box. When the bull or bear score approaches the threshold, a signal may be imminent
Step 3 — Enter on the MERIDIAN Signal
A ▲ triangle below the bar confirms one of the three setup types has fired with sufficient confluence
Read the signal context: did price just retest the prior session high? Break the ORB? Bounce from the session meridian? The setup type determines which level your stop references
The SL and TP guides appear as dotted circles. The SL is the session-anchored structural stop. The TP is the R-multiple target
Setup A retests are the highest-quality entries — the prior session level has been validated as the new support/resistance. Setup B ORB breaks are highest-momentum. Setup C meridian bounces are best in strongly trending sessions
Step 4 — Manage Within the Session Context
Watch the session VWAP as the trade develops — price returning to VWAP during a long trade is a warning sign that session bias may be weakening
If the session meridian switches sides (price moves from above to below the session midpoint), the session bias has flipped. Consider tightening the stop or taking partial profit
Session transitions are exits: if London closes while you are in a trade, the session reference levels will update to New York levels on the NY open. Reassess the position in the context of the new session
Step 5 — End of Session Reset
At session end, the current session's high, low, and meridian become the prior session reference for the next session
The ORB resets for the new session's opening
Review the completed session's range and meridian before the next session opens — these become your Setup A reference levels going forward
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⚠ Identifying Low-Quality Conditions — When Not to Trade
Stand aside when:
Session shows OFF — no active session is being tracked. All signals are blocked and session reference levels may be stale
Session bias is split — VWAP and Meridian disagree — price above VWAP but below the session meridian (or vice versa) means the session has no clear institutional direction. The combined session bias layer will not score, reducing confluence quality
HTF Bias opposes the session bias — a bullish session bias against a bearish HTF means the current session is moving counter to the macro trend. These setups carry significantly higher reversal risk
ORB Status shows FORMING — the opening range has not been locked. No Setup B signals can fire. Do not anticipate the ORB breakout before the range is set
Prior Hi / Lo shows — on the dashboard — no completed prior session data is available. Setup A setups cannot fire. This occurs at the start of the first session after the chart loads
Confluence score is at minimum threshold exactly — when the score is at exactly the minimum and one or two filters are failing, the setup is borderline. Reduce position size or wait for a higher-quality signal
Multiple setup types firing simultaneously in the same direction — this is usually a positive signal, but verify the session context. If the ORB breakout, prior session retest, and meridian bounce are all triggering at the same time in the same bar, one of them is likely being triggered by coincidental price overlap rather than genuine session mechanics
The ideal MERIDIAN setup:
London or NY session active with tradeSessOk confirmed
HTF Bias and Session Bias both aligned in the same direction
Prior session high or low recently broken (Setup A pending) OR ORB locked and ready for Setup B
Price returning to the reference level with VWAP and Meridian both on the correct side
Strong rejection candle with volume above average
Confluence score at 6/7 or 7/7
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⚡ Key Features
🌐 Three-session tracking engine — Asian, London, and New York sessions tracked simultaneously with configurable start/end hours and timezone support
📊 Session-anchored VWAP — true cumulative VWAP computed from the first bar of each session, providing the most accurate institutional fair value reference per session
📍 Prior session levels — high, low, and meridian of the most recently completed session maintained and displayed as dashed reference lines
📦 Opening Range Box — first N minutes of London/NY captured as an orange ORB box with live FORMING / SET status. Breakout reference for Setup B
⚖ Session Meridian (Equilibrium) — the session range midpoint plotted as a purple dotted line, the equilibrium level for Setup C bounces and the combined session bias divider
🏷 Three setup types — Setup A (Prior Session Break & Retest), Setup B (Opening Range Breakout), Setup C (Meridian Bounce) — all configurable independently
🔮 Pending retest tracking — 30-bar retest window after every prior session break, with break circle markers at the moment of the structural break
🧠 7-layer confluence engine — Session Bias, VWAP Position, HTF Bias, Trading Session Gate, Volume Expansion, Rejection Candle, and Setup Type Trigger scored independently every bar
📊 Live confluence label near the session box — B x/7 · S x/7 updating in real time on the current bar
🎯 Session-anchored stop loss — stop placed at the most conservative of multiple session reference levels, not a fixed ATR distance
💹 Dynamic R-multiple TP target — computed as risk × R multiple, adapting to the actual stop distance
📡 HTF EMA bias filter — dual-condition higher timeframe alignment (EMA crossover + price confirmation)
⏱ Session trading filter — independently enable or disable signal firing for each of the three sessions
🎨 Session-coded color system — session box tints differentiate Asian (gray), London (yellow-green), and New York (red) at a glance
📊 16-row live dashboard — Session, Prior Session, Opening Range, Filters, and Confluence sections updated in real time
🔔 6 alert conditions — long/short entry, prior high/low break, ORB long/short breakout
⚙ Fully configurable — all session hours, timezone, ORB duration, setup type enables, confluence minimum, HTF timeframe and EMAs, volume filter, session trading gates, SL buffer, R-multiple target, and all colors are independently adjustable
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⚙ Settings Reference
Session Engine
Session Timezone — UTC / America/New_York / Europe/London / Asia/Tokyo. Set to your preferred reference timezone
Track Asian Session — toggle Asian session tracking on or off
Asian Start / End (hour) — hour boundaries for the Asian session in the selected timezone (defaults: 0 / 8)
Track London Session — toggle London session tracking
London Start / End (hour) — hour boundaries for London (defaults: 8 / 13)
Track NY Session — toggle New York session tracking
NY Start / End (hour) — hour boundaries for NY (defaults: 13 / 21)
Opening Range (mins) — the number of minutes from the session open used to build the ORB (default: 30)
Entries & Confluence
Setup A · Prior Session Break & Retest — toggle the break-and-retest setup type
Setup B · Opening Range Breakout — toggle the ORB breakout setup type
Setup C · Meridian Bounce — toggle the session equilibrium bounce setup type
Retest Tolerance (xATR) — maximum ATR distance from the reference level that still qualifies as a retest (default: 0.35)
Min Confluence Layers (of 7) — minimum score to fire a signal (default: 5)
Show Entry Signals — toggle signal triangles
Show Confluence Label — toggle the live B/S score label near the session box
Signal Cooldown (bars) — minimum bars between consecutive signals (default: 6)
Filters
HTF Trend Filter — toggle the higher timeframe EMA alignment requirement
HTF Timeframe — the higher timeframe for EMA data (default: 60-minute)
HTF Fast / Slow EMA — EMA periods on the HTF (defaults: 21 / 55)
Volume Confirm — when on, entry volume must exceed the average by the minimum multiplier
Min Volume vs Avg — minimum volume ratio (default: 1.1)
Volume Avg Length — SMA length for volume baseline (default: 20)
Trade London Session — when on, signals can fire during London hours
Trade NY Session — when on, signals can fire during NY hours
Trade Asian Session — when on, signals can fire during Asian hours (default: off — Asian sessions typically produce lower-quality setups)
Exit Guidance
ATR Length — ATR calculation lookback (default: 14)
Show SL / TP Guides — toggle stop and target dotted circle plots
SL Distance (xATR) — ATR buffer added beyond the session-anchored stop reference (default: 1.0)
TP Reward (R) — take profit as a multiple of the actual risk from entry to stop (default: 2.5)
Display
Show Current Session Box — toggle the session range box
Show Prior Session H/L — toggle prior session high, low, and meridian dashed lines
Show Session VWAP — toggle the session VWAP line
Show Opening Range Box — toggle the ORB orange box
Show Dashboard — toggle the full dashboard panel
Dashboard Position — Top Left / Top Right / Bottom Left / Bottom Right
Colors
Bull / Bull Bright — yellow-green family for all bullish signals and London session elements
Bear / Bear Bright — red family for all bearish signals and NY session elements
Opening Range — orange for ORB box and status indicators
Meridian / EQ — purple for session meridian, prior session meridian, and equilibrium elements
Session VWAP — cyan for the session VWAP line
SL Guide / TP Guide — stop and target circle colors
Dash Text / Dash BG / Dash Header / Dash Section / Dash Frame — full dashboard color control
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🔔 Alert Conditions (6 total)
Entry Alerts
Meridian Long — all conditions confirmed. Long signal fired
Meridian Short — all conditions confirmed. Short signal fired
Structure Alerts
Meridian Break Prior High — price has closed above the prior session high. Setup A long retest window is now active — watch for the retest
Meridian Break Prior Low — price has closed below the prior session low. Setup A short retest window is now active
Opening Range Alerts
Meridian ORB Long — opening range broken to the upside with all setup and confluence conditions confirmed
Meridian ORB Short — opening range broken to the downside with all conditions confirmed
All alert messages are formatted as const strings for clean webhook and notification platform integration.
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🎯 Recommended Settings by Instrument & Timeframe
The default configuration is optimized for XAUUSD, major forex pairs, and indices on M5–M15 in UTC timezone:
Session hours in UTC — gold and forex are most active during London (08:00–13:00) and NY (13:00–21:00) hours. Asian session trading is disabled by default for clean intraday setups
ORB at 30 minutes — the classic institutional opening range. The first 30 minutes of London and NY frequently establish the session's directional commitment
Retest tolerance at 0.35× ATR — sensitive enough to catch genuine retests on M5–M15 without requiring price to tick exactly at the level
TP Reward at 2.5R — session-based setups on gold and forex typically produce moves sufficient to achieve 2.5R when the session bias is correctly identified
For other instruments or timeframes, adjust:
M1–M3 scalping — reduce Cooldown to 3, reduce SL Buffer to 0.5, reduce TP Reward to 1.5–2.0, use tighter Retest Tolerance at 0.2
H1 intraday swing — increase ORB to 60 minutes (capturing the first full H1 candle), increase Retest Tolerance to 0.5, increase TP Reward to 3.5–4.0, set HTF to H4 or Daily
Crypto (BTC, ETH) — use UTC timezone, enable all three sessions (crypto trades 24/7), reduce retest tolerance to 0.25 for the narrower wicks typical of crypto support/resistance retests
Indices (NAS100, US30) — focus exclusively on NY session (13:30–20:00 UTC for US equity cash session), disable London trading for equity index instruments, tighten ORB to 15 minutes (the US equity opening range is frequently set in the first 15 minutes)
More signals — lower Min Confluence to 4, enable Asian trading, disable volume filter
Highest-quality only — raise Min Confluence to 6–7, enable only Setup A and B (disable meridian bounce), require London and NY only
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👥 Who This Is For
⏱ Session traders and market structure players — MERIDIAN is the definitive session intelligence system. Every reference level, every bias indicator, and every signal type is anchored to the session clock
🥇 Gold (XAUUSD) and forex intraday traders — the three-session framework is most powerful on instruments where London and New York session transitions drive the most significant intraday moves. Default settings are calibrated for gold and major forex pairs
📊 Opening range traders — the ORB system provides a complete, rules-based opening range breakout framework with confluence scoring, volume confirmation, and rejection candle quality filtering
🎯 Break-and-retest traders — Setup A is the quantitative implementation of the prior session break and retest — the most reliable institutional intraday pattern across all liquid markets
🧠 Traders who use VWAP as a primary reference — the session-anchored VWAP and the VWAP-based bias scoring system make MERIDIAN the ideal companion for any VWAP-centric trading approach
📈 Traders who want session context on every trade — every signal label, every dashboard row, and every reference level in MERIDIAN tells you exactly where you are in the session cycle and what the institutional context is
⚠ Traders who struggle with time-of-day discipline — the session trading gates (enable/disable individual sessions) enforce time-of-day discipline automatically. If you do not trade the Asian session, disable it and no Asian signals will ever appear
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📝 Notes
All signals are confirmed on bar close — the indicator is non-repainting by design. Session state, VWAP, meridian, ORB values, and confluence scoring all finalize on confirmed bars only
The session boxes and prior session lines are redrawn on the last bar only for chart performance. On very fast timeframes with long chart history, this redraw happens on every new bar's render — this is normal behavior for last-bar-only visual updates
The VWAP is a true session-anchored VWAP — it resets at each session's first bar and accumulates correctly through the entire session. It is not a daily VWAP or a rolling VWAP
The prior session data updates at session transitions. On the very first session after the chart loads, no prior session data may be available — the Prior Hi / Lo dashboard rows will show — until the first session completes
The 30-bar retest window for Setup A (prior session break and retest) starts from the bar of the break. If no retest occurs within 30 bars, the pending retest state expires. On slower timeframes (H1), 30 bars may cover many hours — consider reducing the window or accepting that H1 retests sometimes take longer to develop
Maximum 500 labels, 500 lines, and 50 boxes are rendered. With three sessions each potentially drawing boxes and lines, the limit is practically sufficient for standard chart history. On very long chart histories on very fast timeframes, the oldest visual elements may be removed by PulseWire's rendering limits
The session timezone setting must match the timezone in which you want session boundaries defined. UTC is the default and recommended for instruments that trade globally. For US equity index traders, America/New_York may be more intuitive
The indicator does not connect to any broker or account — the dashboard and signals are purely analytical
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⚠ Disclaimer
This indicator is a technical analysis and visualization tool intended for educational and informational purposes only. It does not constitute financial advice or a recommendation to buy or sell any financial instrument. All signals are generated from historical and real-time price data using mathematical calculations — their accuracy or profitability is not guaranteed. Past performance of any signal type does not guarantee future results. Always conduct your own analysis, use proper risk management, and consult a licensed financial advisor before making any trading decisions. The author accepts no responsibility for any losses incurred from the use of this indicator.
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Built for traders who understand that the market tells a different story in every session — and who want a system that reads each chapter in real time. Indicator
NLMS Volatility Trail [BackQuant]NLMS Volatility Trail
Overview
NLMS Volatility Trail is an adaptive trend-following overlay that combines a machine-learning style adaptive filter with a volatility-based trailing structure. It is built around the Normalized Least Mean Squares (NLMS) algorithm, then converts that adaptive estimate into an ATR-based trailing line designed to follow directional regimes while filtering out minor noise.
The indicator has two core layers:
An NLMS adaptive filter , which learns a dynamic price estimate from prior bars.
An ATR volatility trail , which converts that learned estimate into a step-like directional trailing structure.
The goal is to produce a trend line that is more adaptive than a traditional moving average and more structured than a raw adaptive filter. The NLMS engine learns the underlying price path, while the ATR trail adds volatility-aware confirmation so trend shifts only occur when the adaptive estimate moves meaningfully.
Core idea
Most trend filters use fixed smoothing rules. An EMA, SMA, WMA, or HMA always applies the same mathematical weighting scheme regardless of whether the market is trending, ranging, expanding, or compressing.
NLMS is different. It continuously updates its internal weights based on prediction error.
This means the filter is not just averaging price. It is constantly asking:
How well did the previous weighting structure predict the current bar?
How large was the error?
How should the weights adjust to reduce future error?
The second layer then takes that adaptive estimate and applies an ATR-based trailing mechanism around it. This creates a volatility-adjusted trend trail that reacts to confirmed shifts while ignoring smaller movements that do not exceed the range structure.
What NLMS is
NLMS stands for Normalized Least Mean Squares . It is an adaptive filtering algorithm from digital signal processing. It is closely related to the original LMS algorithm developed by Bernard Widrow and Ted Hoff, which became one of the foundational online learning methods used in adaptive systems.
Adaptive filters have historically been used in:
Noise cancellation
Echo cancellation
Telecommunications
Radar and sonar processing
Signal prediction
Control systems
The basic purpose is to estimate or predict a signal while continuously adapting to changing conditions.
In trading terms, this indicator uses NLMS to build a learned estimate of price from prior bars.
How the NLMS filter works
The filter uses a set of historical inputs called taps .
If taps = 72, the model uses the previous 72 bars:
source
source
source
...
source
Each tap has a learned weight.
The prediction is calculated as:
prediction = w1 × source + w2 × source + ... + wM × source
The filter then compares the prediction to the actual current source:
error = source - prediction
That error drives the weight update.
If the prediction was poor, the weights adjust more.
If the prediction was accurate, the weights adjust less.
This creates an adaptive estimate that evolves with market behavior.
Why it is normalized
The normal LMS algorithm updates weights based on the raw input and prediction error. The issue is that if the input signal becomes large or volatile, updates can become unstable.
NLMS solves this by dividing the update by the input power:
power = sum(source ²)
The update becomes:
w = w + (μ / (ε + power)) × error × input
This normalization makes the learning process more stable across different volatility environments.
When the input power is high:
Updates are scaled down.
The filter avoids overreacting.
When the input power is low:
Updates are allowed to remain meaningful.
This is why NLMS is better suited to markets than a basic adaptive filter. Markets constantly shift between quiet and volatile regimes.
Weight initialization
The script initializes all weights equally:
weight = 1 / M
This means the filter starts with an SMA-like prior. Before learning begins, every historical bar contributes equally.
Over time, the filter adapts away from that equal-weight baseline and learns its own weighting structure.
Inputs that control the NLMS engine
Filter Taps (M)
Controls how many historical bars the model learns from.
Higher taps:
More memory
Smoother adaptive estimate
Slower response to regime change
Lower taps:
Less memory
Faster reaction
More noise sensitivity
Step Size (μ)
Controls the learning rate.
Lower μ:
Slower learning
Smoother output
More stable
Higher μ:
Faster learning
More responsive
Can become noisy if too aggressive
This is one of the most important settings. It controls how quickly the model changes its internal weights.
Regularization (ε)
Prevents instability when input power is very low.
It acts as a stabilizer in the denominator:
ε + power
Higher values make updates more conservative.
Lower values allow stronger adaptation but can become less stable in quiet conditions.
From adaptive filter to volatility trail
The raw NLMS output is not plotted directly as the main trend line. Instead, it is passed into a volatility trailing structure.
The script builds an ATR band around the NLMS estimate:
Upper band = NLMS output + ATR × factor
Lower band = NLMS output - ATR × factor
Then it creates a trailing value that only updates when the NLMS band structure forces it to move.
This creates a trail that behaves similarly to a volatility stop, but the center is not price or hl2. It is the learned NLMS estimate .
ATR volatility trail logic
The trail starts from the NLMS output, then carries forward its previous value:
nlmsAtr := previous nlmsAtr
Then:
If lower band rises above the trail, the trail moves up.
If upper band falls below the trail, the trail moves down.
This creates a directional trailing structure:
In bullish regimes, the trail ratchets upward.
In bearish regimes, the trail ratchets downward.
It filters out small movements because price must move enough relative to ATR and the adaptive estimate to change the trail direction.
Why combine NLMS with ATR
NLMS alone gives an adaptive estimate, but it can still wiggle as the model learns.
ATR alone gives volatility structure, but it is usually tied to raw price and fixed smoothing.
Combining them gives:
Adaptive intelligence from NLMS.
Volatility confirmation from ATR.
Cleaner trend state transitions.
Less dependence on fixed moving-average assumptions.
The NLMS model learns the underlying price behavior, while ATR decides whether movement is large enough to matter.
Trend direction
Trend flips are detected from the trail itself:
Bullish when nlmsAtr crosses above its previous value.
Bearish when nlmsAtr crosses below its previous value.
This means signals are generated when the volatility trail changes direction, not when price simply crosses the line.
That is important because:
The trail must structurally move.
The signal is tied to confirmed trail direction.
Noise around the line does not automatically create a flip.
Visual design
The indicator includes several visual layers.
Main trail line
The central plotted line is the NLMS ATR trail. It changes color based on the current trend state:
Green for bullish trail direction.
Red for bearish trail direction.
Gray before a trend state is established.
Gradient fill
The script fills the space between price and the trail:
If price is above the trail, bullish fill is shown.
If price is below the trail, bearish fill is shown.
The fill is stronger near the trail and fades toward price, making the trail feel like the active structural reference.
Trail glow
A soft glow is drawn around the trail using a small ATR offset:
glow = ATR(14) × 0.06
This highlights the trail visually without cluttering the chart.
Trend candles
Candles are colored by trend state:
Bullish trend = bullish candles.
Bearish trend = bearish candles.
This allows the script to function as a complete regime overlay.
How to interpret the indicator
Bullish state
A bullish state occurs when the NLMS volatility trail turns upward.
This suggests:
The adaptive filter is shifting higher.
The ATR trail has confirmed upward structure.
Trend pressure has turned bullish.
Bearish state
A bearish state occurs when the NLMS volatility trail turns downward.
This suggests:
The adaptive estimate is shifting lower.
The volatility trail has confirmed downside structure.
Trend pressure has turned bearish.
Price above the trail
Generally indicates bullish structure.
Price below the trail
Generally indicates bearish structure.
But the most important signal is the direction of the trail itself, not every price touch.
How to use it in practice
1) Trend following
Use the trail direction as the primary bias:
Favor longs when the trail is bullish.
Favor shorts when the trail is bearish.
2) Dynamic support/resistance
The trail can act like a dynamic structural level:
In uptrends, pullbacks toward the trail can act as support.
In downtrends, rallies toward the trail can act as resistance.
3) Trade management
The trail can be used as:
A trailing stop guide.
A regime invalidation level.
A trend continuation reference.
4) Regime filtering
Because the line adapts using NLMS and only flips when the volatility trail turns, it can be used to filter other entries:
Take only long setups during bullish trail regimes.
Take only short setups during bearish trail regimes.
Avoid countertrend trades when the trail is strongly directional.
Difference from normal Supertrend or ATR trails
A normal ATR trail is usually built directly from price or hl2.
This indicator is different because the trail is built around an adaptive learned estimate.
That means:
The centerline is not raw price.
It is not a fixed moving average.
It is a continuously learned NLMS estimate.
So the trail has a different character:
More adaptive than a standard moving average trail.
More stable than a raw price-based ATR stop.
More responsive to changing market structure than fixed filters.
Difference from the NLMS Adaptive Trend Filter
The NLMS Adaptive Trend Filter plots the learned estimate directly and reads trend from its slope.
NLMS Volatility Trail goes one step further:
It uses the learned estimate as the base.
Then wraps it with ATR structure.
Then turns that into a trailing regime line.
So this version is more structure-oriented and better suited for trailing trend behavior.
Parameter tuning
Taps
Use higher taps for smoother trend structure.
Use lower taps for faster adaptation.
Step Size
Use lower step size for stability.
Use higher step size for responsiveness.
Regularization
Use higher regularization when the filter feels unstable.
Use lower regularization when the filter is too sluggish.
ATR Period
Controls volatility estimate:
Shorter = more reactive trail.
Longer = smoother trail.
ATR Factor
Controls band width:
Higher factor = wider trail, fewer flips.
Lower factor = tighter trail, more flips.
Strengths
Combines adaptive filtering with volatility trailing logic.
Learns from market structure instead of using fixed weights.
Uses ATR to reduce noise and confirm meaningful movement.
Good for trend following and trailing stop frameworks.
Visually clean with gradient fill and candle coloring.
Limitations
Still reactive, not predictive.
Can lag during violent reversals.
High learning rates may create noise.
Low ATR factors may cause whipsaws.
Requires tuning for timeframe and asset volatility.
Summary
NLMS Volatility Trail combines an adaptive NLMS predictor with an ATR-based trailing structure. The NLMS layer continuously learns a dynamic estimate of price from historical bars, while the ATR trail converts that estimate into a cleaner directional regime line. This makes the indicator more adaptive than a traditional moving average and more structured than a raw adaptive filter. It is best used as a trend-following overlay, dynamic support/resistance guide, and volatility-aware trailing framework.
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