Liquidity Propulsion Signals | ProjectSyndicateLiquidity Propulsion Signals catches the moment a liquidity grab fails — and instead of chasing the breakout, it fades it. Markets coil, then hunt the resting liquidity parked above swing highs and below swing lows. When price spears one of those pools and then snaps back inside the range, it traps the breakout crowd and loads a "spring." The engine measures the energy stored in that failed grab as a 0–100 Propulsion Charge, and fires contrarian — in the direction the trapped crowd is now forced to unwind. Every setup gets a structural invalidation level beyond the failed grab, fixed R-based targets, a 0–100 charge with a 1–5 star rank, and is tracked live on a full statistics dashboard — including honest stop-outs — so you can see exactly how the logic behaves on the symbol and timeframe you trade.
🧠 Liquidity-Spring Core — the core idea, expressed as a lifecycle: COIL ▸ GRAB ▸ LOAD ▸ IGNITE ▸ TARGET. Resting-liquidity pools are mapped from confirmed swing pivots — the highs and lows where stops cluster. A grab begins when price pierces one of those pools: a low driven below sell-side liquidity, or a high pushed above buy-side liquidity. If price then reclaims the pool — closes back inside the range within the reclaim window — the grab has failed, and that failure loads a spring on the opposite side. The spring later ignites into a signal when price pushes through the bar that armed it. Pools come from confirmed pivots and every transition is evaluated on the bar's close, so the pools and the signal do not repaint.
🔋 Charge Anatomy — a failed grab is not just true or false; it is scored for how much energy it carries. The Propulsion Charge fuses six breakout-native ingredients into a single 0–100 read: grab depth (how far price penetrated the pool, in ATR), reclaim velocity (how fast it snapped back within the window), rejection wick (the share of the bar spent rejecting the level), volume surge (the spike over a rolling baseline), coil compression (how tightly the market was wound before the grab — a loaded spring versus a loose one), and reclaim displacement (how decisively close pushed back past the level). Each component is independently weighted, so you can dial the engine toward depth, speed, volume, or compression as your edge demands.
🎯 Structural Invalidation + R-Based Targets — a loaded spring is invalidated before it fires if price falls back beyond the grab extreme, so weak grabs quietly disarm instead of trading. Once a discharge fires, the trade model builds a universal ATR-based zone height: the stop sits a fixed ATR distance from entry, so every signal draws the same SL/TP geometry — no super-wide or super-narrow zones to distort your risk. TP1, TP2, and TP3 are set at clean R multiples, defaulting to a balanced 1R / 2R / 3R and fully adjustable to your reward profile. Every signal plots its complete Entry / SL / TP1 / TP2 / TP3 line set, labeled level prices, and filled TP / SL zone boxes, with a result label on exit.
🧲 Opposing-Liquidity Magnet — because a discharge is fundamentally drawn toward the next pool of unswept liquidity, the engine can project the nearest opposing pool as a dotted magnet line: the obvious, structural target the move is being pulled toward. It is a context read for where the propulsion wants to go, sitting alongside your fixed R targets rather than replacing them.
🎚️ Conviction Controls — a compact set of dials sets how serious a failed grab must be before it counts: the Arm Threshold (the minimum charge that loads a spring at all), a Strong Tier cutoff, an optional Only Fire Strong-Tier Springs filter, the minimum grab depth, the reclaim window, and the ignition window that keeps an armed spring from waiting forever. Tighten them for fewer, cleaner discharges; loosen them for more activity. Combined with the six component weights, this is your main control over conviction versus frequency.
🧭 Ignition Gating & Single-Ticket Discipline — an armed spring is not a trade until it ignites: price must close through the ignition level set at load time. If the grab extreme is broken back the other way, the spring disarms; if the ignition window elapses with no trigger, it discharges unused and resets. Only one ticket is active at a time, so a single chaotic session can't stack overlapping trades, and resolution is SL-first pessimistic with honest partial-TP accounting — if a stop is hit after TP1 or TP2, that partial result is booked rather than rounded up.
⭐ 0–100 Charge with Star Tiers — every discharge is labeled with its numeric charge, a 1–5 star rank, and a tier ladder running FLAT → WEAK → PRIMED → STRONG → ELITE. Treat the charge as a cleanliness and confluence read for ranking and thinning setups — it describes how textbook a failed grab is, not a guaranteed outcome. The Arm Threshold and Only-Strong gate restrict what is displayed and alerted, while the dashboard keeps tracking every tier in the background.
📊 Live Statistics Dashboard — a non-intrusive panel tracks, in real time on your chart: the current bias (long spring / short spring / active / idle) and status (waiting → grab forming → spring loaded → discharging), a live charge meter with separate long- and short-spring readings, the magnet distance up and down in ATR, the last discharge with its star score, total signals, win rate, closed trades, profit factor, average R per trade, best-performing direction, long vs short win rate, current and max win/loss streaks, and a TP1 / TP2 / TP3 / SL outcome breakdown. Every filled trade that reaches an outcome is counted — winners and stop-outs alike — so the numbers are computed live from the real signals on your current symbol and timeframe, not a figure printed in a description.
🎨 Clean Themed Visuals — five coherent palettes (Midnight default, plus Emerald, Ice Blue, Gold Black, and Aqua Violet) shade the liquidity-pool lines, the ⚡ charge labels, the per-trade SL / TP ladder and zone boxes, and the dashboard to one look, so direction and quality read at a glance. Liquidity pools are drawn as color-keyed dotted levels; each discharge prints a ⚡ label with its charge, star tier, and direction arrow. The active ticket extends live to the right and then snaps cleanly back to its exit bar on close, so labels never float away — and a max-drawn-trades cap keeps only the most recent tickets on the chart while the statistics stay cumulative over the full history.
🔔 Detailed Alerts — fires on a long or short spring loaded (a qualifying failed grab), on long / short discharge (ignition), on any discharge, and on TP3 and SL events, formatted for manual or automated use. The strength gate can restrict alerts to higher-conviction springs.
🔧 Fully Customizable — every component is exposed: the pivot length that defines which pools count, the ATR length, the coil window and its looseness reference; the reclaim window, minimum grab depth, depth and volume energy references, volume baseline, and ignition window; the arm and strong thresholds, the only-strong filter, and all six charge weights; the universal risk distance and the three R targets; the opposing-liquidity magnet, level-shelf length, and max historical trades; the dashboard position, size, meter, and per-target breakdown; all five themes; and every pool, label, line, box, and star toggle.
🎯 Why this is different — most "liquidity" tools simply draw lines at old highs and lows and tell you a sweep happened. This one treats the failed sweep as the event, scores how much spring energy that failure stored across depth, velocity, wick, volume, compression, and displacement, and fires contrarian — fading the trapped breakout the way price actually tends to unwind — then anchors invalidation to the grab itself, projects the opposing pool the move is drawn toward, and layers an objective 0–100 ranking and a live, honest statistics panel that counts stop-outs in full. You tune and judge it on real, current data from your own chart instead of a marketing number.
🚀 Where to use it — the engine is symbol-agnostic and built on universal behavior: stop-runs and failed breakouts happen in every liquid market, so it can be applied to FX majors and crosses, metals, indices, and crypto, on intraday timeframes. Pivot length and the ATR-based stop adapt to each instrument's volatility automatically. Because it is a contrarian, mean-reversion engine, it shines in ranging and liquidity-hunting conditions and demands more care in strong one-way trends — let the dashboard tell you whether the logic suits the pair and timeframe before you commit.
🎯 How to trade it
Apply it to a liquid symbol on an intraday timeframe and let the dashboard populate. Read the live win rate, profit factor, and average R for your symbol and timeframe first — if the logic doesn't suit that market, you'll see it.
Wait for a ⚡ LONG / ⚡ SHORT discharge label — it marks a confirmed close through the ignition level after a failed grab, with the charge, star tier, and full Entry / SL / TP1 / TP2 / TP3 already plotted.
Use the opposing-liquidity magnet as a logical target read: it shows the unswept pool the discharge is being pulled toward.
Manage the trade with the plotted levels — the universal ATR stop defines your risk and TP1/2/3 sit at your chosen R multiples. Bank or trail however suits your style.
Use the Arm Threshold, Only-Strong gate, and the six charge weights to set your tempo — stricter for fewer, cleaner discharges; looser for more activity — and lean on the star tier to focus on the most textbook failed grabs.
⚠️ Important — this is a decision-support tool, not a standalone buy/sell system, and it makes no performance guarantees. Default settings were chosen on historical data and behavior will vary by symbol, timeframe, session, and configuration; the dashboard's statistics are historical and descriptive, not a forecast. The trade model resolves stop-first and books partial-target exits honestly, so some trades close for a fraction of a target rather than a full win or loss — these are counted in full, which is honest but means win rate alone is misleading; always weigh it together with average R and profit factor, and resize the R targets to your own risk profile. Signals confirm on the closed bar, so always wait for the labeled discharge on a closed candle. Because the system is contrarian by design, a sufficiently strong trend can run straight through a stop — combine it with your own analysis and risk management, and test it on your market before trading it live. Indicator
Dynamic Trend Bands & Anchored VWAP Signals [BigBeluga]Dynamic Trend Bands & Anchored VWAP Signals is an institutional-grade market structure toolkit built for PulseWire. It blends smooth mathematical trend mapping with real-time volume calculations to identify key market turning points and trade breakout momentum.
Instead of displaying standard lag-heavy moving averages, this system locks onto real-time volatility boundaries and anchors Volume Weighted Average Price (VWAP) paths to major swing pivots. It tells you exactly who controls the market—buyers or sellers—and tracks the net volume driving every single expansion phase.
🔵 MAIN ENGINE & MARKET CALCULATION MECHANICS
1. Dynamic Volatility Envelope Framework
Smoothed Base Filter: The indicator runs a double-smoothed exponential moving average engine ( Baseline Length ) to find the true structural baseline of the asset.
ATR Volatility Channels: It projects dynamic outer bands based on market volatility over a set period ( ATR Volatility Length ). The width adjusts automatically using your preference ( ATR Band Multiplier ) to trap standard price fluctuations and highlight true volatility expansion zones.
Trend Flip Architecture: A definitive close above the upper band switches the system to a Bullish Regime, while a close below the lower band forces a Bearish Regime.
2. Pivot-Anchored VWAP Matrix
Structural Anchor Selection: The engine scans your chart using your lookback criteria ( Pivot Point Detection Length ) to pinpoint major structural market highs and lows.
Live VWAP Projections: The moment a trend flip occurs and a pivot is confirmed, the script constructs a dynamic, non-repainting polyline tracking the Volume Weighted Average Price (VWAP) directly from that structural anchor point.
Delta Volume Accumulation Engine: As price moves along the anchored line, a real-time looping counter sums up the true buy and sell volume to calculate Delta Volume (buying volume minus selling volume).
// Pivot-Anchored VWAP Delta Volume Accumulation Loop Snippet
for i = 0 to bar_index - highIndex - 1
cp1.push(chart.point.from_index(bar_index - i, vwap1 ))
loopDeltaVolHigh := loopDeltaVolHigh + (close > open ? volume : -volume )
poly1 := polyline.new(cp1, line_color = bullColor, line_style = line.style_dotted, line_width = 2)
🔵 WHY IT IS USEFUL
Exposes Institutional Commitments: Standard indicators show where price has been. This engine anchors to major structural pivots and factors in volume data to show you exactly where big institutional players are positioning their capital.
Provides Instant Market Context: The floating real-time dashboard reveals the macro trend status and the exact volume backing the latest market cycle at a glance, allowing you to instantly align your bias with the dominant force.
Quantifies Breakout Authenticity: When price breaches the anchored VWAP baseline, the indicator immediately calculates the net Delta Volume. This tells you if a breakout is backed by aggressive institutional participation or if it is just a low-volume trap.
🔵 HOW TO USE THE SYSTEM
Trading Bullish Breakouts: During an active uptrend, watch for price to pull back toward the lower volatility support bands or consolidation zones. Look for price to break sharply back up through the anchored VWAP baseline line. When a green breakout triangle ( ▲ ) appears, check the Delta Volume text label to verify aggressive buying pressure before entering.
Trading Bearish Breakdowns: When the macro regime shifts to bearish, monitor rallies into the upper resistance bands. Wait for price to cross down through the bearish anchored VWAP baseline. A purple breakdown triangle ( ▼ ) signals a high-probability short opportunity backed by aggressive selling volume.
Managing Risk and Invalidations: Use the outer volatility bands as dynamic structural backstops. For long positions, place your defensive stop loss just below the lower dotted line boundary; for short positions, manage risk right above the upper dotted line boundary.
Master institutional volume cycles and track true structural momentum using the Dynamic Trend Bands & Anchored VWAP Signals workspace. Indicator
Strong LO ORB | ProjectSyndicateStrong LO ORB — London Opening Range Breakout catches the moment the London session resolves its opening range — and instead of treating every push past a line as a trade, it waits for a genuine close beyond the range, tags the direction, and ranks the breakout 0–10 with a star score. The first block of the London session builds a range; price then has to actually close outside it, in agreement with momentum and the higher-timeframe trend, before a signal arms. Every setup gets a structural stop beyond the range that just broke and fixed R-based targets, and is tracked live on a full statistics dashboard — including end-of-session time-stops — so you can see exactly how the logic behaves on the pair and timeframe you trade.
🧠 Opening-Range Core — the core idea. At the start of the London session the engine records the high and low of a configurable opening window, 08:00–09:00 by default. That band is the opening range: the session's first agreed value area. A signal fires on the release — the bar that closes beyond the range high for a long or the range low for a short inside the trade window — and the direction is set by that break. Sessions are evaluated in Europe/London wall-clock time, so the BST/GMT shift is handled automatically and the range always anchors to the real London open regardless of your data feed's server time. Signals are evaluated on the bar's close and are fixed once that bar closes — the range and the break do not repaint.
📈 Range Mapping & ADR Context — while the opening window is live, the engine continuously tracks the developing high, low, and width of the range, then freezes it the moment the window ends. The finished range is measured in pips and expressed as a percentage of the pair's Average Daily Range, a non-repainting daily read, so you instantly see whether the session is coiling tightly or has already burned its move. A clean, proportionate range is a loaded session; an over-wide one is a day that has already spent itself — and the engine treats them differently in both the gate and the score.
🎯 Structural Stop + R-Based Targets — the stop is anchored to the range that just broke: below the range low for a long, above the range high for a short, each with an ATR buffer, or against the range midline or a pure ATR distance if you prefer — then capped and floored by ATR so it can never balloon into a wide stop or collapse into a meaningless one. TP1, TP2, and TP3 are set at clean R multiples and default to a balanced 1R / 2R / 3R, fully adjustable to whatever reward-to-risk you trade. Every signal plots its complete Entry / SL / TP1 / TP2 / TP3 line set, labeled levels, and filled TP / SL zone boxes, with a result label on exit. Optional measured-move guides project the range width ×1 and ×2 beyond each edge for a classic ORB target read.
🎚️ Conviction Controls — a small set of dials sets how serious a breakout must be before it counts: the 0–10 Minimum Strength gate, an optional Only Strong filter, a Range-vs-ADR window that skips days whose range is too tight or too wide, an optional break-buffer that demands the candle close a set ATR fraction past the edge rather than just nicking it, and Max Breakouts / Day. Tighten them for fewer, higher-quality fires; loosen them for more activity. This is your main dial for conviction versus frequency.
🧭 HTF Trend Alignment + Session Gating — an optional higher-timeframe EMA filter blocks counter-trend fires, keeping you on the dominant side: longs only above it, shorts only below. The higher-timeframe value is read without lookahead. Entries are confined to a configurable trade window after the range forms, and a per-day cap spaces out tickets so one volatile session can't stack trades. Anything still open at the close of the trade window is flattened by an end-of-session time-stop — and that exit is booked and counted honestly, never quietly dropped.
⭐ 0–10 Setup-Quality Score — every release is scored and labeled with 1–5 stars and a tier FORMING → WEAK → MODERATE → STRONG → VERY STRONG → ELITE across breakout-native factors: expansion-candle body strength, candle range vs ATR, momentum alignment over short and medium lookbacks, volume confirmation, clean penetration beyond the range edge, RSI agreement, higher-timeframe EMA alignment, intraday bias of close versus the session open, a first-break-of-the-day premium, and a range-vs-ADR coil check. Treat the score as a confluence / cleanliness read for ranking and thinning setups — it describes how textbook a breakout is, not a guaranteed outcome. The Minimum Strength / Only Strong gate restricts what is displayed and alerted, while the dashboard keeps tracking every tier in the background.
📊 Live Statistics Dashboard — a non-intrusive Bloomberg-amber panel tracks, in real time on your chart: the current session state of waiting / forming OR / range set / armed / trade active, the live opening-range size and its ADR percentage, the pair's ADR, current status and the active trade, the last signal with its star score, total signals, win rate, closed trades, profit factor, average R per trade, best-performing direction, long vs short win rate, current and max win/loss streaks, and a TP1 / TP2 / TP3 / SL / EOD outcome breakdown. Every filled trade that reaches an outcome is counted — winners, stop-outs, and time-stops alike — so the numbers are computed live from the real signals on your current symbol and timeframe rather than a figure printed in a description.
🎨 Clean Themed Visuals — a Bloomberg Amber institutional palette, with Ice Blue, Emerald, and Mono alternates, shades the opening-range box, the ORH / ORL / midline levels, the per-trade SL / TP ladder, and the dashboard to one coherent look, so quality and direction read at a glance. The range box is drawn over the window where it formed and projected forward with pip-labeled edges; long and short trades are color-keyed; an optional faint tint marks the active opening window. A projection-length and max-drawn-trades control keep the chart clean — the right-edge zones never stretch into oversized towers, and only the most recent N tickets stay drawn while the statistics remain cumulative over the whole history.
🔔 Detailed Alerts — fires on long / short opening-range breakouts, plus TP3, partial-TP, SL, and end-of-session exit events, formatted for manual or automated use. The minimum-strength setting can restrict alerts to higher-conviction setups.
🔧 Fully Customizable — every component is exposed: the session timezone, opening-range window, and trade window; the ATR length and 0–10 strength gate with Only-Strong filter; the ADR lookback and min/max range-vs-ADR band; the break-buffer and max-breakouts-per-day; the stop basis of range opposite / midline / ATR with buffer and risk cap/floor; the three R targets; projection length, OR-days kept, and max drawn trades; the HTF alignment filter and timeframe; the pip definition for non-standard feeds; all four themes; and every label, dashboard, zone, and measured-move toggle.
🎯 Why this is different — most ORB tools just draw two lines at a fixed clock time and leave everything after that to you. This one anchors the range to the real London open in exchange time with automatic DST, sizes the break against the pair's own ADR so a tight coil and a blown-out day aren't treated alike, demands momentum, volume, penetration, and trend confirmation before it fires, anchors the stop to the range that actually broke, then layers an objective 0–10 ranking and a live, honest statistics panel — one that counts stop-outs and end-of-session exits in full — so you are tuning and judging the system on real, current data instead of a marketing figure.
🚀 Where to use it — built and validated for Forex, with particular strength on London-driven pairs: GBP, EUR, and USD majors and crosses such as GBPUSD, GBPJPY, GBPCAD, GBPNZD, and EURUSD, on intraday timeframes around M5 / M10 / M15. It is pip-aware for both 5-digit and 3-digit JPY pairs, and the ATR-based stop and ADR sizing adapt to each pair's volatility automatically. The session windows can be re-pointed for the New York or Asian open if you want to run the same engine on a different session.
🎯 How to trade it
Apply it to a liquid pair on an intraday timeframe and let the dashboard populate. Read the live win rate, profit factor, and average R for your symbol and timeframe before committing — if the logic doesn't suit that pair, you'll see it.
Keep the HTF Trend Alignment filter on so you only take breakouts in the direction of the larger trend, and keep the Range-vs-ADR gate on to skip dead or already-spent sessions.
Wait for a LO ORB LONG / LO ORB SHORT label — it marks a confirmed close beyond the opening range, with the star score and Entry, SL, and TP1/2/3 already plotted.
Manage the trade with the plotted levels: the structural SL defines your risk, TP1/2/3 sit at your chosen R multiples, and any position still open at the trade-window close is flattened by the time-stop. Bank or trail however suits your style.
Use Minimum Strength, the break-buffer, and Max Breakouts / Day to set your tempo — stricter for fewer, cleaner releases; looser for more activity — and use the star score and Only-Strong gate to focus on the cleanest setups.
⚠️ Important — this is a decision-support tool, not a standalone buy/sell system, and it makes no performance guarantees. Default settings were chosen on historical data and behavior will vary by pair, timeframe, session, and configuration; the dashboard's statistics are historical and descriptive, not a forecast. The trade model includes an end-of-session time-stop, so some trades close at the session boundary at a fraction of a target rather than a full win or loss — these are counted in full, which is honest but means win rate alone is misleading; always weigh it together with average R and profit factor, and resize the R targets to your own risk profile. Signals confirm on the closed bar, so always wait for the labeled release on a closed candle. Always combine it with your own analysis and risk management, and test it on your market before trading it live. Indicator
[ 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
Strong Supertrend Engine | ProjectSyndicateStrong Supertrend Engine maps the session around a Supertrend trend-stop and power-ranks the with-trend zones where price is most likely to continue, not reverse. Every session it reads one decision from the prior completed session's daily Supertrend — is the session open above the Supertrend a green, buy-only regime or below it a red, sell-only regime — and then projects an ATR-scaled ladder of reaction zones around the session open. On top of the zones it draws the session's best continuation setups as zone-to-zone arrows: in a green regime it points up from a pullback zone to a target zone; in a red regime it points down from a rally zone to a target below. The whole tool runs on one idea: trade dips with the trend, not against it — buy dips into support while the Supertrend is green, sell rips into resistance while it is red, and favor the stronger-graded zones.
This is the inverse of a fade tool. Across a broad multi-instrument study FX majors and crosses, gold and an index, fading stretched levels back to balance behaved like a coin flip, while with-trend pullback entries were the side that carried a modest, repeatable edge. Strong Supertrend Engine is built around that side.
🟢🔴 Summary how to trade this more details below, read entire guide. Best trade setups with this system is to buy dips, arrows highlight best entry zones / prices when price is trading above green ST zones. Likewise, sell rips, arrows highlight best entry zones on sell side / when price is trading below red ST zones. Detailed overview below. Run on lower TFs for best entries, i.e.
M5 M10 M15 M30.
🟢🔴 The Supertrend Regime the master switch — The session open versus the daily Supertrend sets the only bias that matters. Open above the Supertrend ⇒ the core stop band renders green and the engine shows BUY-ONLY setups buy the dips. Open below ⇒ the band renders red and the engine shows SELL-ONLY setups sell the rips. A close back through the Supertrend flips the regime and recolors everything. You never fight the band: green means look for longs, red means look for shorts.
🧲 The Session Basis auction center — Each session's zone ladder is anchored to the session open by default Prior HL2, OHLC4 or Close optional. Price spends the day auctioning around this basis, so the inner zones sit exactly where price actually trades and the outer zones mark a genuine stretch. The basis is also the natural first reference a with-trend pullback works back through.
📊 ATR-Scaled Zone Ladder — Five escalating tiers are projected above and below the basis at calibrated ATR offsets 0.12, 0.25, 0.40, 0.55, 0.75 × ATR by default, drawn as clean equal-height shaded bands. The spacing is deliberately pulled in to where price genuinely travels intraday a typical session covers roughly half an ATR from the open, so the inner tiers get tagged often and the outer tiers mark the real extremes. A global width multiplier and per-tier offsets let you reshape the geometry for any instrument or timeframe.
ES
🟩 The Core Supertrend Stop Band — The actual daily Supertrend value is drawn as a bold band — green support in an uptrend, red resistance in a downtrend. It is the trend's hard line: the trade thesis holds while price stays on the correct side of it, and a close through it is the regime flip and the natural hard stop.
🏷️ 0–10 Strength Grade & In-Zone Labels — Every zone carries a live 0–10 grade inside the band — the tier name with a ▲ / ▼ side marker, stars, the X.X/10 score and a tier word FORMING → WEAK → MODERATE → STRONG → ELITE. The grade blends tier extremity, volatility context, trend regime and with-trend alignment so the with-trend side is favored. Read it as a descriptive conviction ranking for which zone deserves attention — it is not a backtested win-rate.
WTI
🏹 Continuation Setup Arrows the signature feature — For the last N sessions, the engine selects the best 2–4 with-trend setups per session and draws each as a zone-to-zone arrow that spans several zones 3 by default, so each arrow shows a meaningful directional trade, not a one-tier hop. In a green regime arrows run up from a pullback/dip zone, through the open, to a target zone above; in a red regime they run down from a rally/rip zone to a target below. Each arrow is labeled with the entry→target zones, the R multiple of the move, and a star grade. Setups are ranked by regime strength + momentum alignment + clean pullback depth, so the strongest, best-located trades surface first.
📈 Laguerre PPO Momentum Confluence — A daily, non-repainting Laguerre PPO reads whether momentum agrees with the regime. It boosts the score of aligned setups and can be set as a hard filter so only momentum-confirmed setups print. Up-momentum strengthens buy-dip setups in a green regime; down-momentum strengthens sell-rip setups in a red regime.
BTC
⚙️ Uniform ATR Zone Height — Every tier shares one identical ATR-based thickness, centered on its level, for a clean, consistent look on any symbol or timeframe.
🎨 Regime & Strength Shading — Stronger zones render more opaque, weaker ones stay faint, and counter-trend zones are dimmed so the actionable with-trend side pops. Resistance tiers shade red, support tiers green, the core stop green/red by regime, and the arrows green for buys, red for sells. Arrow labels use black text for crisp readability on the colored tags.
🔒 Non-Repainting — Each session's regime, basis, zones, scores and arrows lock in from the completed prior session read with a confirmed offset and never change intraday. Zones span exactly one session and close cleanly at the boundary — no bleed into the next session. The last N sessions are kept default 10 and older ones are removed automatically.
Silver
📋 Live Dashboard — A compact panel reports the current Regime BUY-ONLY / SELL-ONLY, Momentum up / down, the number of setups this session, the Trend, the Supertrend stop price, ATR, the distance from price to the stop in ATR, and the trend age in sessions.
🔔 Native Alerts — Dedicated Buy Continuation Setups and Sell Continuation Setups alerts the moment a new session's setups print, plus zone-touch, strong-zone, extreme-tier, core-stop-tag and Supertrend-flip alerts.
🔧 Fully Customizable — Supertrend ATR length and factor, basis source, the five tier offsets and global width multiplier, zone thickness, the four scoring weights and their lookbacks, the score filter, the Laguerre fast/slow gammas and momentum-filter toggle, arrow count 2–4, arrow span zones, spacing, width, colors and labels, dashboard position/size, transparency and shading — all adjustable.
DAX
🎯 Why this is different — Most band tools draw static envelopes and leave you guessing which edge matters, and most "tops & bottoms" tools quietly ask you to fade strong moves. Strong Supertrend Engine does the opposite: it frames the session as a trend defined by the Supertrend, refuses to show counter-trend trades, and hands you the session's best with-trend continuation setups as labeled arrows from zone to zone. You read the regime green/red, the destination the arrow's target zone, and the conviction the score at a glance.
🚀 Apply to Gold XAUUSD, Silver, Forex, Crypto and Indices on any intraday timeframe.
🎯 How To Trade It — Two Approaches
Everything hinges on the regime: green Supertrend = buy dips only, red Supertrend = sell rips only. Never fade the band. Use the stronger-graded zones and the printed arrows to pick the best-located entry.
◾ 1 BUY DIPS in a Green Supertrend Regime — open above the green ST
This is the engine's core long thesis. The session open is above the green Supertrend, so the regime is BUY-ONLY and buy arrows point up from the dip zones toward higher targets.
▪️ Setup: wait for price to pull back / dip into a support zone below the open — prefer the stronger-graded zones higher score / more stars, ideally one a buy arrow points up out of, with Laguerre momentum up.
▪️ Entry: long on the dip into the zone, in the direction of the green regime the with-trend bounce.
▪️ Stop: below the entry zone — one tier deeper — with the green core Supertrend stop as the hard invalidation. A decisive close below the green ST flips the regime; the long thesis is then wrong, stand aside.
▪️ Targets: step up zone to zone toward the arrow's target each arrow spans ~3 zones — through the open into the upper tiers, banking partials at each tier and trailing with the trend.
⚖️ The cleanest version: price opens above a rising green Supertrend, dips into a STRONG/ELITE support tier, holds, and rotates back up through the open into the upper tiers — exactly the leg the arrow frames. The deeper-but-still-graded dips offer the better risk; the shallow ones trigger most often.
◾ 2 SELL RIPS in a Red Supertrend Regime — open below the red ST
The mirror image. The session open is below the red Supertrend, so the regime is SELL-ONLY and sell arrows point down from the rally zones toward lower targets.
▪️ Setup: wait for price to rally / rip into a resistance zone above the open — prefer the stronger-graded red zones higher score / more stars, ideally one a sell arrow points down out of, with Laguerre momentum down.
▪️ Entry: short on the rip into the zone, in the direction of the red regime.
▪️ Stop: above the entry zone — one tier higher — with the red core Supertrend stop as the hard invalidation. A decisive close above the red ST flips the regime; stand aside.
▪️ Targets: step down zone to zone toward the arrow's target through the open into the lower tiers, banking partials and trailing the move.
Rule of thumb: ⭐ Green Supertrend, open above it → buy dips into the stronger support zones, target the arrow's zones up. ⭐ Red Supertrend, open below it → sell rips into the stronger resistance zones, target the arrow's zones down. ⭐ When price closes through the Supertrend, the regime flips — wait for the new side before taking the next trade.
EURUSD
⚠️ IMPORTANT NOTICE: Strong Supertrend Engine frames a Supertrend-defined trend and ranks the best with-trend continuation setups. The 0–10 score is a descriptive conviction ranking, not a backtested win-rate, and the with-trend edge measured in study was modest — these zones and arrows are decision support, not a standalone trade trigger. Always combine them with your own strategy, price-action confirmation and risk management. Past behavior does not guarantee future results. Indicator
High Volume Pivot Support & Resistance Zones [BigBeluga]High Volume Pivot Support & Resistance Zones is a market-structure indicator built for PulseWire. It helps traders find key support and resistance levels by looking for major pivot points backed by institutional volume.
Instead of drawing simple unweighted lines, this tool tracks the volume of swing highs and lows. When a high-volume pivot is found, the script creates a dynamic zone box on your chart and fits a live Cumulative Volume Delta (CVD) trendline inside it. This lets you monitor real-time buying and selling pressure exactly where the market is most likely to reverse.
🔵 MAIN ENGINE & VOLUME ZONE LOGIC
1. Volume-Validated Pivots
Swing Isolation Fields: The tool uses customizable lookback settings ( Resistance/Support Pivot Length ) to find prominent structural swing highs and lows.
Institutional Volume Filters: Every new swing point is checked against a volume baseline ( Volume MA Length ). A zone is only plotted if the pivot bar's volume beats the baseline multiplier ( Volume Threshold Multiplier ), filtering out weak retail moves.
2. Embedded Zone CVD Lines
Intra-Box Order Flow Tracking: The script counts the volume delta (buying volume minus selling volume based on candle closes) from the exact bar the pivot formed.
Normalized Inside the Box: Using custom polylines, the script scales and plots the rolling CVD trend directly inside the height of the zone box. This lets you see order-flow accumulation without cluttering your screen with bottom dashboard panels.
Live Labels: A small text readout updates on the leading edge of the box, showing the current net CVD volume.
// Normalize and scale running CVD values perfectly inside the zone box coordinates
normalizeDeltaToBox(float currentDelta, float minDelta, float maxDelta, float boxBottom, float boxTop) =>
float rangeDelta = maxDelta - minDelta
float rangeBox = boxTop - boxBottom
rangeDelta == 0 ? boxBottom + rangeBox / 2 : boxBottom + (currentDelta - minDelta) / rangeDelta * rangeBox
🔵 DYNAMIC ZONE FLIPS & SIGNALS
1. Support and Resistance Flips
Automatic Re-Coloring: When a strong candle close breaks entirely through a zone, the script changes its role. Broken resistance boxes switch to your Support Zone Color (yellow), and broken support boxes turn into your Resistance Zone Color (blue).
Border Style Changes: The box outline instantly switches from a solid line to a dashed line the moment a zone is breached, flagging a clear shift in institutional liquidity.
2. Retest and Breakout Plots
Breakout Arrows: The system prints clean triangle up or down arrows ( ▲ or ▼ ) on your chart labeled "Res Breakout" or "Sup Breakdown" the exact bar a zone boundary fails.
Proximity Retest Shapes: It plots tiny circle markers when price pulls back to successfully test a normal support/resistance hold. If price tests a broken zone that has reversed roles, it prints a diamond marker to flag an advanced flipped S/R retest.
// Zone Breakout and Role Inversion Logic snippet
if close > rTop
box.set_bgcolor(lastResBox, color.new(supColor, 90))
box.set_border_color(lastResBox, supLine)
box.set_text_color(lastResBox, supLine)
box.set_border_style(lastResBox, line.style_dotted)
if not resBroken
triggerResBreak := true
resBroken := true
🔵 TRADING STRATEGIES & RISK
CVD Absorption Entries: When price rallies up into a blue resistance box, check the internal dotted CVD line.
If price pushes high into the box but the internal CVD trend slopes down, sellers are absorbing the buy orders. This sets up a high-probability short entry.
Flipped Support Re-Entries: When a bullish breakout triggers a "Res Breakout" arrow, wait for price to pull back to the top border of the broken box. A clean bounce marked by a diamond shape confirms the old resistance has flipped to support, offering a safe continuation trade.
Clear Risk Invalidation floors: You can use the exact borders of the generated boxes to place your stop loss. If you buy a support hold retest, your clear risk invalidation point sits right below the bottom line of that specific support box.
🔵 SETTINGS & CONFIGURATION
Pivot Geometry Controls: Easily fine-tune lookback lengths and volume multipliers to adapt the indicator for volatile crypto assets, indexes, or liquid forex pairs.
Visual Zone Overrides: Adjust background colors, transparency levels, and text label sizing to match your dark or light charting interface seamlessly.
Clean up your layout and trade with volume-weighted precision using the High Volume Pivot Support & Resistance Zones terminal. 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.
Indicator
Balanced Price Range + V-Shape IndicatorBalanced Price Range + V-Shape Indicator
Overview
This is an open-source intraday scalping model built on ICT-derived price-action concepts. It combines Balanced Price Ranges and V-shaped liquidity-driven reversals into a single contextual system. The scalping method is specific: it looks for a sharp reversal (a "V") off a zone of overlapping imbalance (a Balanced Price Range), but only when that zone is confirmed by higher-timeframe imbalance or a recent liquidity sweep — the kind of fast, location-specific entry used on 1–15 minute charts. Rather than printing every BPR or inverted gap (which is unusably noisy live), it cross-filters them so only confirmed locations are highlighted. The source is fully open; everything below describes exactly what the code does.
Building block 1 — Fair Value Gaps and inversions
A Fair Value Gap (FVG) is a three-candle imbalance: a gap between candle 1's extreme and candle 3's extreme left unfilled by candle 2. The script detects each FVG as it forms and stores the displacement (middle) candle's open and close for later momentum checks. When price later closes back through a gap, that gap is latched as inverted (an iFVG) — its expected support/resistance role flips.
Building block 2 — Balanced Price Range
A Balanced Price Range is the price overlap between a fresh FVG and an opposite-direction iFVG. When a new FVG forms and overlaps an opposite inverted gap within a configurable lookback window, the overlapping band is drawn as a BPR. A minimum-size filter (as a percentage of 14-period ATR) discards slivers too thin to matter. BPR zones extend rightward until price closes through them or a max-extension bar limit is reached.
Building block 3 — Liquidity mapping and sweeps
The script independently maps liquidity from four sources, each toggleable: swing-pivot highs/lows, equal highs/lows (two same-side swings within an ATR tolerance), previous-day high/low, and London / NY-AM session highs and lows. For each level it distinguishes a sweep (wick through, close back — liquidity grab) from a clean break (close beyond — level reclaimed), marking sweeps on the chart.
The V-Shape gate — how the pieces work together
A BPR is upgraded to a "V-BPR" and an entry arrow only fires when the location passes a context gate with two independent confirmation paths, either of which validates the setup:
HTF FVG tap (continuation path): Fair Value Gaps are read from a higher timeframe (chart TF × a user multiplier, snapped to the nearest standard resolution). The gate checks whether price recently tapped a still-valid HTF gap of matching direction, and whether the BPR sits inside or within an ATR buffer of it.
Liquidity sweep (reversal path): a correct-side sweep — a low taken for a long, a high taken for a short — within a recent bar window.
Two candle-level filters refine the trigger: a clean-V-tip rule (the inversion candle must be preceded by an opposite-direction candle, enforcing a real reversal at the tip) and a strong-close rule (the inverting candle must reclaim a set percentage of the displacement candle's body, confirming momentum). An optional clear-path filter rejects a setup when un-swept opposite-side liquidity rests within an ATR danger zone in the trade's direction, since that pool is often taken first.
Chart Examples:
Settings reference
Settings: max BPRs shown, iFVG lookback window, min BPR size (% ATR), max zone extension.
Higher-TF FVG: show/hide, timeframe multiplier, max stored, colour.
V-Shape Gate & Entry: master gate toggle, HTF-tap window, zone proximity buffer, sweep-path toggle and window, clean-V-tip, clear-path toggle and danger-zone size, hide-non-V-BPR, entry-marker toggle, strong-close percentage.
Liquidity & Sweeps: toggles for swing / PDH-PDL / session / equal-H-L sources, pivot strength, equal tolerance, session windows (NY time), max levels, sweep marking, colours.
Colors: bull/bear BPR, FVG/iFVG components, liquidity, sweep marks.
How to use it
Apply to 1–15 minute charts. Drawn BPRs show overlapping imbalance; thicker V-BPR zones and ▲/▼ markers show locations that passed the gate. Each entry marker's tooltip audits why it fired (which path confirmed it and the reclaim %). Begin with the gate on to see only confirmed scalps; loosen by disabling individual filters, or enable "Hide BPRs that fail the gate" to declutter. Alerts fire on confirmed long and short V-Shape entries.
Non-repainting
All higher-timeframe and previous-day data is requested with offset historical expressions, so no future data is used on historical bars; entries evaluate only on confirmed bar closes and do not repaint. Indicator
Adaptive Support & Resistance Pro with EMA Momentum Filter## Description
This indicator is an advanced tool designed to identify adaptive Support and Resistance (S/R) zones and combine them with an Exponential Moving Average (EMA) momentum filter. Unlike static S/R lines, this script uses a combination of momentum oscillators and dynamic pivot calculations to find high-probability reversal zones on higher or current timeframes.
The core philosophy of this indicator is to prevent "knife-catching." Instead of firing a signal immediately when a support or resistance level is formed, it waits for the price to confirm a change in momentum by crossing the EMA line in the direction of the trade.
---
## How It Works (Under the Hood)
### 1. Support & Resistance Detection
The script uses a multi-layered filter to detect true pivot points:
* **Legacy RSI & Modified RSI:** It evaluates overbought (>75) and oversold (<25) conditions using a 9-period Relative Strength Index.
* **Chande Momentum Oscillator (CMO) based on HMA:** It applies a 1-period CMO logic over Hull Moving Averages (HMA 5 and HMA 12) to detect immediate shifts in market velocity.
* **Close Pivots:** It uses deviation-free highest/lowest calculations (`ta.highest` and `ta.lowest`) combined with `ta.valuewhen` to fetch precise structural levels.
A **Support Zone** is formed only when the RSI is oversold, the CMO shows an upward momentum shift (>50), and a local low pivot is confirmed.
A **Resistance Zone** is formed when the RSI is overbought, the CMO shows a downward shift (<-50), and a local high pivot is confirmed.
### 2. S/R Timeframe Flexibility
Through the `request.security` function, users can plot these adaptive levels from higher timeframes (HTF) onto their current chart. To prevent **repainting** and back-shifting signals, the script strictly uses `barmerge.lookahead_off`.
### 3. EMA Momentum Trigger (The Confirmation Filter)
To filter out false breakouts and premature entries during heavy trend extensions, an EMA filter is introduced:
* **BUY Signal:** Triggered only when a new Support level has been established AND the price successfully closes above the EMA (`ta.crossover`).
* **SELL Signal:** Triggered only when a new Resistance level has been established AND the price successfully closes below the EMA (`ta.crossunder`).
**Strict Discipline:** The script uses an internal state machine (`waitForBuyBreak` / `waitForSellBreak`) ensuring that **only ONE signal** is fired per newly created S/R level. This completely eliminates the "whipsaw" effect (multiple false signals) when the price is consolidating or chopping around the moving average.
---
## Settings & Customization
* **Line Width / Colors:** Fully customize the visual thickness and color styling of your Support and Resistance zones.
* **S/R Timeframe:** Leave it blank for the current chart timeframe, or select higher timeframes (e.g., 4H or 1D) for macro level analysis.
* **Enable EMA Filter:** Toggle this option ON to use the momentum confirmation logic, or OFF to see signals immediately upon S/R level creation.
* **EMA Length:** Adjust the period of the confirmation line (Default is 50, but can be set to 20 for faster entries or 200 for macro trend-following).
---
## Alerts
The script includes three built-in alert conditions for automation:
1. `New S/R line` - Triggers whenever a new support or resistance level is plotted.
2. `BUY Signal` - Triggers when the EMA crossover confirms the support bounce.
3. `SELL Signal` - Triggers when the EMA crossunder confirms the resistance rejection.
## Disclaimer
This indicator is meant for educational and analytical purposes only. Past performance does not guarantee future results. Always practice proper risk management. Indicator
Volumetric Regression Heatmap [LuxAlgo]The Volumetric Regression Heatmap indicator is a sophisticated market analysis tool that combines dynamic linear regression with volume profile density to visualize fair value and liquidity zones. By projecting volume-weighted heatmaps within a trend-following channel, it allows traders to identify where the bulk of trading activity has occurred relative to the current price trajectory.
🔶 USAGE
The indicator provides a multi-layered view of market structure. The central heatmap shows the "hottest" areas of volume concentration, acting as a magnet for price, while the outer bands represent statistical extremes.
🔹 Mean Reversion Signals
The script includes a built-in signal system designed for sideways or "flat" markets. When the indicator detects a "Contraction" state (determined by the ratio of channel height to standard deviation), it plots small circles at the +2/-2 standard deviation levels.
Green Circles: Potential long opportunities when price crosses below the lower signal band during a flat market.
Red Circles: Potential short opportunities when price crosses above the upper signal band during a flat market.
🔹 Future Projections & Profile
The heatmap extends beyond the current bar, providing a "Future Projection" zone. This allows traders to anticipate where support and resistance levels will be in the coming sessions. To the right of the projection, a Bookmap-style volume profile histogram displays the total volume distribution, helping to identify high-volume nodes (HVN) and low-volume nodes (LVN) at a glance.
🔶 DETAILS
🔹 Dynamic Auto-Adjusting Period
Unlike standard regression channels that use a fixed lookback, this tool features an adaptive engine. It calculates the ratio between short-term and long-term volatility (ATR).
In high-volatility environments, the channel period shrinks to become more reactive.
In low-volatility or ranging environments, the period expands to capture a broader structural view.
🔹 Volumetric Delta Histograms
The script calculates the approximate buying and selling volume for every candle within the lookback period. This data is visualized as histograms extending from the outer bands:
Top Band (Green): Displays buying pressure delta.
Bottom Band (Red): Displays selling pressure delta.
This allows traders to see not just where price is, but the intensity of the volume driving it toward the channel extremes.
🔶 SETTINGS
🔹 Core Settings
Source: The price source used for the regression calculation.
Base Period: The anchor length for the regression fit.
Dynamic Auto-Adjusting Period: Enables/disables the volatility-based adaptive lookback.
🔹 Heatmap Settings
Grid Rows Each Side: Determines the vertical resolution of the heatmap bands.
Gradient Smoothing: Applies a smoothing algorithm to the volume distribution for a cleaner visual gradient.
Colors 1-5: Customizable colors ranging from low-volume areas to high-volume "hot" zones.
🔹 Mean Reversion Signals
Signal Band (SD Multiplier): The standard deviation level required to trigger a signal.
Flat Slope Threshold: Controls how "flat" the channel must be to allow signals to appear, preventing counter-trend signals in strong trending markets.
🔹 Delta Histograms
Histogram Height Scale: Adjusts the vertical magnitude of the delta bars.
Histogram Bar Width: Sets the thickness of the individual delta lines.
🔹 Style & Options
Future Projection Length: How many bars to project the heatmap into the future.
Show Volume Profile Histogram: Toggles the right-sided volume distribution boxes.
🔹 Dashboard
Dashboard: Toggles the on-screen analytics panel.
Position/Size: Adjusts the location and scale of the dashboard UI.
Indicator
Strong Squeeze Signals | ProjectSyndicateStrong Squeeze Signals catches the moment a genuine volatility coil releases — and instead of treating every flat patch as a setup, it waits for a real squeeze to fire, tags the direction from momentum, and ranks the release 0–10 with a star score. A market that has been compressing for a stretch of bars — its Bollinger Band wound tightly inside its Keltner Channel — has to actually expand back out, in the direction of momentum, before a signal arms. Every setup gets a structural stop beyond the coil that just broke and fixed R-based targets, and is tracked live on a full statistics dashboard so you can see how the logic behaves on the exact symbol and timeframe you trade.
🧠 Squeeze-Release Core — the core idea. The engine measures volatility compression directly from two bands. When a Bollinger Band contracts entirely inside a Keltner Channel, the market is coiling: range is shrinking and energy is building. A signal fires on the release — the bar where the band expands back outside the channel — and the direction is set by a linear-regression momentum oscillator that measures how far price sits from a composite centreline. Momentum above zero on the release fires a long; below zero fires a short. The longer and tighter the coil before it lets go, the more it counts. Signals are evaluated on the bar's close and are fixed once that bar closes — the release does not repaint.
📈 Coil Mapping & Tightness — while a squeeze is active, the engine continuously tracks how many bars it has been compressing, the high and low extent of the coil, and how tight it became — the Bollinger half-width as a fraction of the Keltner half-width. A long coil that wound down to a very tight ratio is a loaded spring; both the duration and the tightness feed directly into the strength score. A minimum-coil filter ignores fleeting micro-squeezes, and an optional Strict Fire setting demands a confirmed expansion on the release bar rather than just the end of the coil.
🎯 Structural Stop + R-Based Targets — the stop is placed just beyond the coil that just broke, with an ATR buffer: below the coil's low for a long, above the coil's high for a short — then capped and floored by ATR so it can never balloon into a wide stop or collapse into a meaningless one. TP1, TP2, and TP3 are set at clean R multiples and default to 0.5R / 0.75R / 1.25R — a tighter, hit-rate-leaning profile out of the box, and fully adjustable to whatever reward-to-risk you prefer. Every signal plots its complete Entry / SL / TP1 / TP2 / TP3 line set, labeled price levels, and filled TP / SL zone boxes, with a result label on exit.
🎚️ Coil-Conviction Controls — two inputs set how serious a squeeze must be before its release counts: Minimum Coil Bars To Arm how long the spring must compress and Minimum Strength the 0–10 gate. Tighten them for fewer, higher-quality fires; loosen them for more frequent signals. This is your main dial for conviction versus frequency.
🧭 HTF Trend Alignment Filter — an optional higher-timeframe EMA filter blocks counter-trend fires, keeping you on the dominant side of the market: longs only above it, shorts only below. The higher-timeframe value is read without lookahead. A signal cooldown spaces out entries so a single impulsive expansion doesn't stack multiple tickets.
⭐ 0–10 Setup-Quality Score — every release is scored and labeled with 1–5 stars and a tier FORMING → WEAK → MODERATE → STRONG → VERY STRONG → ELITE across nine squeeze-native factors: coil length stored energy, coil tightness how far the band compressed inside the channel, momentum magnitude at release, momentum acceleration in the fire direction, volume confirmation, expansion-candle body and range, band-width widening on the break, higher-timeframe alignment, and RSI agreement. Treat the score as a confluence / cleanliness read for ranking and thinning setups — it describes how textbook a squeeze release is, not a guaranteed outcome. A Minimum Strength / Only Strong gate lets you display and alert on stronger setups only, while the dashboard keeps tracking every tier in the background.
📊 Live Statistics Dashboard — a non-intrusive panel tracks, in real time on your chart: the current squeeze state coiling / fired / expanded / no squeeze, live coil-bar count, the momentum reading, current status and the active trade, the last signal with its star score, total signals, win rate, closed trades, profit factor, average R per trade, best-performing direction, long vs short win rate, current and max win/loss streaks, and a TP1 / TP2 / TP3 / SL hit breakdown. These are computed live from the signals on your current symbol and timeframe — so you can judge the settings yourself rather than trusting a number printed in a description.
🎨 Clean Themed Visuals — an institutional colour palette shades each zone by direction and score: bullish coils run a teal family that deepens as the score climbs, bearish coils a red-to-magenta-to-purple family, so quality reads at a glance. The compression zone is drawn over the bars where the coil formed and labeled with FIRE plus its star score; the TP and SL zones are harmonized to the same palette. Four lighting themes drive the lines, labels, and dashboard; an optional faint background tint marks active coils, and optional state dots can sit under the chart. A Max Zone Width control caps how far the SL / TP / Entry zones extend to the right, so long trades never stretch into oversized towers across the chart.
🔔 Detailed Alerts — fires on strong long / short squeeze releases, plus squeeze-on new coil forming, squeeze-released, partial-TP, TP3, and SL events, including direction and score, formatted for manual or automated use. The minimum-strength setting can restrict alerts to higher-conviction setups.
🔧 Fully Customizable — every component is exposed: Bollinger and Keltner lengths and multipliers, the true-range toggle, minimum coil bars and Strict Fire confirmation, the 0–10 strength gate and Only-Strong filter, ATR length, the structural-stop buffer with risk cap/floor, the three R targets, level-shelf length and Max Zone Width, the HTF alignment filter, the signal cooldown, plus the full institutional box palette, all four themes, and every label, dashboard, and zone-shading option.
🎯 Why this is different — most squeeze tools just print a histogram or drop a dot when the bands let go and leave everything after that to you. This one classifies the release direction from momentum, requires a real coil rather than a momentary flat spot measuring both how long and how tightly it compressed, demands momentum, acceleration, volume, and expansion confirmation, anchors the stop to the coil that actually broke, then layers an objective 0–10 ranking and a live, on-chart statistics panel on top — so you are tuning and judging the system on real, current data instead of a marketing figure.
🚀 Where to use it — markets that coil and expand: Forex, Gold XAUUSD, indices, and crypto, on intraday and swing timeframes M10/M15/M30/H1 and up. The ATR-based stop and R targets adapt to each asset's volatility automatically.
🎯 How to trade it
Apply it to a market that produces real volatility cycles and let the dashboard populate. Read the live win rate, profit factor, and average R for your symbol and timeframe before committing — if the logic doesn't suit that market, you'll see it.
Keep the HTF Trend Alignment filter on so you only take releases in the direction of the larger trend.
Wait for a STRONG LONG FIRE / STRONG SHORT FIRE label — it marks a confirmed coil release, with the star score and Entry, SL, and TP1/2/3 already plotted.
Manage the trade with the plotted levels: with the default sub-1R targets a common approach is to bank TP1 quickly, then trail or hold the remainder toward TP2/TP3; the structural SL defines your risk on the trade. If you prefer a higher reward-to-risk profile, widen the R targets in the inputs.
Use Minimum Coil Bars and Minimum Strength to set your style — stricter for fewer, cleaner releases; looser for more activity — and use the star score and Only-Strong gate to focus on the cleanest setups.
⚠️ Important — this is a decision-support tool, not a standalone buy/sell system, and it makes no performance guarantees. Default settings were chosen on historical data and behavior will vary by symbol, timeframe, and configuration; the dashboard's statistics are historical and descriptive, not a forecast. Note the default targets are sub-1R 0.5R / 0.75R / 1.25R: tight targets tend to raise the raw hit rate while lowering the reward-to-risk on each trade, so win rate read on its own is misleading — always weigh it together with average R and profit factor, and resize the targets to your own risk profile. Signals confirm on the closed bar, so always wait for the labeled release on a closed candle. Always combine it with your own analysis and risk management, and test it on your market before trading it live. Indicator
BreakoutBreakout is an overlay indicator for identifying pre-breakout trade context using supply/demand zones, higher-timeframe alignment, moving-average structure, and confluence scoring.
This script is for analysis and planning only. It does not place orders or guarantee results.
What it does
Breakout helps visualize potential long and short setups before price breaks out of a key zone. It combines:
- Key magnet supply/demand zones (strongest reaction levels only)
- HTF trade zones auto-anchored by chart timeframe
- Pre-trade setup boxes with entry, stop, and target
- Diamond markers for high-confluence turning points
- Liquidity levels for potential sweep/SFP context
- Optional info panel with bias, levels, and active setup details
How it works
Magnet zones: pivot highs/lows cluster into levels. Levels price revisits gain strength. Only the strongest are drawn.
HTF trade regime: each chart timeframe uses two higher anchor timeframes. Long ideas can be filtered to HTF demand zones; shorts to HTF supply zones. Zones use confirmed HTF swing highs/lows with ATR-based width and reach.
Setup engine: setups form when zone context, trend/MA structure, confidence score, and cooldown align. Stops use risk percent, MA support/resistance, swing levels, and a max distance cap. Targets use a configurable minimum risk/reward.
Diamond signals: require structure (SFP, reversal, or MA setup), zone context, and supporting momentum/trend. Optional volume spike and RSI divergence add confluence. Not every pivot prints a diamond.
Volume and divergence: abnormal volume spikes (relative volume and z-score) can combine with RSI divergence in diamonds and setup scoring.
MTF data uses request.security() with barmerge.lookahead_off to avoid lookahead on higher-timeframe context.
How to use
1. Add Breakout to your chart.
2. Choose your execution timeframe.
3. Keep HTF zone filter on for higher-timeframe alignment.
4. Wait for price at HTF zone plus key magnet zone, then diamond or setup box with confidence at or above Min Confidence.
5. Use entry, stop, and target from the active setup box for planning.
6. Manage risk with your own rules.
Main settings
- Risk: risk per trade, min R/R, max hold bars
- Filters: min confidence, approach distance, cooldown, volume, vol spike and divergence
- HTF zones: trade inside HTF S/D only, auto anchors, zone width and reach
- Display: zones, setups, liquidity, labels, info panel, EMAs, diamond spacing
Alerts
- Breakout Long Setup
- Breakout Short Setup
- Breakout Approaching Demand
- Breakout Approaching Supply
Alerts reflect script conditions at alert time. They are not trade recommendations.
Disclaimer
Educational and informational use only. Not financial advice. Trading involves risk, including loss of capital. Past results do not guarantee future performance. Use at your own discretion. Indicator
Strong SD Magnet | ProjectSyndicateThe Liquidity Magnet System in this script is based on the original Magnet System concept by FeelsStrategy — full credit to the original developer. It has been rebuilt from the ground up here: a stricter, smarter pull engine fused with a session-aware supply/demand framework and a facts-only dashboard with zero fabricated probabilities.
🟥🟩 IMPORTANT INFO: For best results run indicator on M5 TF so it builds HQ SD zones.
🧲 Liquidity Magnet System — the core of this tool. This is not a "point an arrow at the biggest level and slap a fake percentage on it" magnet. A pull only fires from a zone that has earned it: still valid (not broken), strong enough to matter, and already re-tested at least once. Fresh, untested zones never throw a magnet — price has to come back and respect the level first. Every pull is a high-conviction, vertical roadmap drawn inside the session, from a proven source toward where liquidity actually sits next.
🎯 Nearest-Valid-Target Pull Logic — the powerful new part. Supply pulls down to the closest qualifying demand below; demand pulls up to the closest qualifying supply above — never the flashiest far-away level just to look dramatic. The target must clear its own minimum score, must sit within an ATR-bounded reach (no promising a move the market isn't stretched for), and must be one of the levels actually displayed on your chart. No cross-session arrows, no jumping to hidden or invalidated zones. Clean, literal, tradable.
🟥🟩 Session Supply & Demand Engine. Each session builds a fresh batch of zones from confirmed swing pivots, drawn as uniform ATR-sized bands centred on the level — slick and consistent, never lopsided. Insignificant swings below your ATR floor are rejected before they become zones, and overlapping same-side zones merge into one so you get clean structure instead of stacked duplicates. Only the top-N strongest zones per side, per session, are shown across your chosen lookback.
WTI M5
⭐ 0–10 Zone Strength Score. Every zone is graded on a weighted blend of departure impulse, volume at formation, rejection-wick quality, and freshness, with optional time-decay while a level sits idle. Strong zones render sharp and opaque; weak ones fade — the fill itself doubles as a strength bar. This score is what the magnet leans on when choosing valid sources and targets.
♻️ Live Zone Lifecycle — ◆ FRESH → · TESTED → ✗ INVALID. Fresh means untouched since formation (highest interest). Tested means price has wicked in and the level is holding. Invalid means price closed (or wicked — your choice) through it, and the zone fades out, marked broken. The magnet only ever uses fresh-or-holding, valid zones as endpoints.
📊 Facts-Only Dashboard — no fabricated probabilities, anywhere. A non-intrusive top-right panel summarises the session in real numbers only. SUPPLY / DEMAND lists the session's top zones with tag, price range, 0–10 score, and live state. MAGNET PULLS gives one row per active pull: the route (e.g. ▼ S2→D1◆, source → target, ◆ if the target is still fresh), the pull strength, the target price, and the real distance from current price as a signed % and an ATR multiple. FIELD shows net pull bias (summed pull strength each side, Σ▼ vs Σ▲), the nearest target, and live counts.
UK100 M5
🧮 Honest Pull Strength (0–10), never a fake "chance". The headline magnet number is a strength index — a transparent blend of the source zone's strength and the target zone's strength. It is labelled as strength, not probability. You will never see an invented "92% chance it reaches" here; every figure on the panel is a real score, a real price, a real distance, or a real count.
🎚️ Fully Adjustable Magnet Filters. One settings group exposes the entire engine: source minimum score, required number of re-tests, target minimum score, maximum ATR reach, magnets per session, and how many recent sessions to display. Tighten the thresholds for fewer, cleaner pulls; loosen them for more activity. This is your main dial for conviction versus frequency.
🎨 Clean Themed Visuals. Uniform ATR bands, compact in-band zone labels, and a tidy top-right stats panel. Strong levels stand out by opacity, older sessions can fade, and the magnet pulls use their own clear accent colour so they never get lost in the zones.
🔔 Built-In Alerts. Fire on new supply and demand zones, on price approaching supply or demand, and specifically on price approaching a strong zone — formatted for manual or automated use, so you can be notified the moment structure forms or price reaches a level that matters.
BTCUSD M5
🔧 Fully Customizable. Every component is open: session boundary and timezone, swing sensitivity and zone spacing, overlap merging, ATR band height and minimum swing size, the four strength weights and idle decay, the complete magnet filter set, plus all label, colour, theme, and alert options.
🎯 Why this is different. Most magnet and liquidity tools chase the biggest level on the screen and dress it up with a made-up probability. This one fixes the logic first — a pull only from a strong, re-tested, valid zone, aimed at the nearest valid opposite level within reach — then reports it with an honest strength score and a panel of real, current numbers. You judge it on facts, not a marketing figure.
🚀 Where to use it. Trend- and range-rotational markets across Forex, Gold (XAUUSD), indices, and crypto, on intraday and swing timeframes (M10/M15/M30/H1 and up). Because zone height, reach, and distance are all ATR-based, the engine adapts to each asset's volatility automatically.
🧭 How to trade it. Read the dashboard first — it tells you the session's dominant supply/demand levels and whether the field is being pulled up or down. Use the magnet pulls as a directional bias and a target map: a strong re-tested supply pulling down to a fresh demand is a clean roadmap for where price is being drawn. Favour entries from valid zones in the direction of the net pull, treat the magnet's target as the logical objective, and size it against the ATR distance shown. A ◆ fresh target is the highest-quality objective; once it flips to ✗, that roadmap is spent.
⚠️ Important. This is a decision-support tool, not a standalone buy/sell system, and it makes no performance guarantees. Everything it shows is descriptive of current zone strength and real distance — the pull strength is a confluence/cleanliness read, not a forecast, and there are deliberately no fabricated probabilities. Behaviour varies by symbol, timeframe, and configuration. Always combine it with your own analysis and risk management, and test it on your market before trading it live.
NQ M5
Indicator
MACD RSI Signal [XWiseTrade]MACD RSI Signal
The classic MACD settings — 12, 26, 9 — were chosen decades ago for daily stock charts, where they roughly meant "half a month, one month, and a week." Almost everyone then copies those exact numbers onto 5-minute, 15-minute and hourly charts, where they no longer correspond to anything meaningful. This indicator rebuilds the MACD/RSI combination for intraday trading, with periods anchored to how the global trading day is actually structured, and with RSI graded in zones rather than a single overbought/oversold line.
Why simple moving averages, not exponential
Most MACD implementations use exponential moving averages, which deliberately weight recent bars more heavily than older ones. That weighting is a built-in assumption — that the latest price matters more. This indicator uses simple moving averages instead: every bar in the window counts equally. The result is a less manipulated, more faithful read of raw price action, with no human assumption about which bars "should" matter more. For intraday decisions, that neutrality lets the price structure speak for itself rather than through a weighting curve.
Why the periods are 12 / 24 / 8
Read on the 1-hour scale these map to real session structure: 12 ≈ the split between the Euro/US half of the day and the rest; 24 ≈ a full intraday higher-timeframe day; 8 ≈ the length of a single major session (London, New York, Asia). The point isn't that these numbers are magic — it's that the original 12/26/9 only ever made sense as "days," and on intraday charts that meaning is lost. Anchoring to sessions restores a reason for the numbers. You can apply it to higher or lower timeframes, but the 1-hour scale is its reference point.
How the signal is graded
A signal is not a single MACD cross. It requires momentum to be persisting: the MACD histogram must be positive and expanding for a bull case (negative and expanding for a bear case) — momentum actually accelerating, not a one-bar cross that fades.
RSI then grades that momentum, using zones based on familiar ratios (0.214 / 0.382 / 0.618 / 0.786) instead of plain 30/70 — finer resolution for intraday work:
Pass (solid Bull/Bear) — RSI between 0.382 and 0.618 (38.2–61.8): healthy core, room to run.
Warning (small marker) — RSI outside that core but not extreme: momentum persists, but the move is stretched — lower quality.
Veto (no signal) — RSI beyond 0.786 or below 0.214: too extreme, the signal is rejected rather than shown.
How to use it
Add it to a chart — built for intraday, with the 1-hour scale as the reference. Solid Bull/Bear labels are momentum that passed the RSI grade. Faint bull? / bear? markers are persisting momentum that RSI flagged as stretched — treat with caution. No label means the setup was either too weak or vetoed as overextended. The MACD here is built on simple (unweighted) moving averages rather than the usual exponential ones — every period is given equal weight, a more neutral read — and every zone bound is adjustable.
What makes it different
Standard MACD+RSI scripts copy daily-era settings onto every timeframe and use RSI as a single yes/no filter. This one re-anchors the periods to real session structure for intraday use, defines a signal as persisting, expanding momentum rather than a momentary cross, lets RSI grade and veto that momentum across zones instead of a binary line, and uses unweighted moving averages so no single bar is given outsized influence.
Inputs: MACD fast/slow/signal,RSI length, Fibonacci-style zone bounds, cooldown.
These are descriptive signals for discretionary use, not buy/sell recommendations. Indicator
Adaptive Support & Resistance Pro + SignalsOverview
Adaptive Support & Resistance Pro is a dynamic technical analysis tool designed to automatically identify, calculate, and plot key Support and Resistance (S/R) levels on your chart. Unlike traditional pivot-based indicators, this script uses a hybrid approach combining Momentum, Relative Strength, and Volatility filters to pinpoint institutional supply and demand zones.
To ensure professional-grade execution, the script is fully optimized to prevent repainting. It operates strictly in real-time, aligning historical signals with the exact moments these key levels were formed.
How It Works (The Engine)
The indicator calculates its levels based on three core components:
Chande Momentum Oscillator (CMO) via HMA: It analyzes the rate of change between two Hull Moving Averages (HMA) of different periods to detect strong shifts in market momentum.
Relative Strength Index (RSI): A 9-period RSI filters out minor market noise, ensuring that support levels are only tracked in oversold conditions ( NYSE:RSI < 25$) and resistance levels in overbought conditions ( NYSE:RSI > 75$).
Legacy Close Pivots: The script analyzes extreme high/low deviations over a specific lookback period to establish the structural price floor or ceiling.
When all three conditions align, a new Support or Resistance price level is established.
Key Features & Settings
Multi-Timeframe (S/R Timeframe): You can plot S/R levels from higher timeframes (e.g., Daily or 4-Hour) directly onto your lower timeframe execution chart (e.g., 15-minute) for top-down analysis.
Signal Trigger Modes: Under the settings, you can choose how signals are displayed:
On Candle Close: Displays a BUY or SELL label immediately on the candle that confirmed the new level.
After Candle Close: Waits for the confirmation candle to close and prints the signal on the next candle, providing an extra layer of validation.
Strict One Signal Per Level Rule: The script features built-in logic that guarantees only one signal will ever be triggered per new structural level, completely eliminating label clutter and overlapping signals.
How to Use It (Trading Strategy)
Support & BUY Signals: Look for green BUY labels after the market prints a fresh support line. This indicates that momentum has shifted upwards from an oversold structural area.
Resistance & SELL Signals: Look for red SELL labels when price prints a fresh resistance line. This indicates institutional selling pressure in an overbought area.
Breakouts & Re-tests: The drawn lines stay on the chart, allowing you to monitor future re-tests of these adaptive zones.
Disclaimer
Past performance does not guarantee future results. This indicator is meant to be used as a supportive tool alongside your own risk management and trading plan. Indicator
Retest & Break Setup [LuxAlgo]The Retest & Break Setup indicator identifies and tracks price action structures where price breaks a pivot level, retests it multiple times, and subsequently breaks out to confirm the trend.
🔶 USAGE
The indicator identifies "Retest & Break" patterns by monitoring pivot levels (Pivot Highs for bullish setups and Pivot Lows for bearish setups). A setup begins when a pivot is broken by price. The script then tracks whether price returns to "retest" this broken level as support or resistance.
A setup is considered "completed" once the required number of retests is met and price breaks out past the newly formed extreme established during the retest phase. For bullish setups, this means price must close above the highest high reached during the retest period. For bearish setups, price must close below the lowest low reached during the retest period.
A completed bullish setup suggests that price is likely to continue moving higher, while a bearish setup suggests a move lower. The logic behind this is often linked to liquidity; as price retests a level multiple times without breaking back through, liquidity (such as stop-loss orders) builds up just beyond the retest extremes.
When price finally breaches these levels, this concentrated liquidity can act as fuel, accelerating the breakout and confirming the new trend direction.
🔹 Parameters and Setup Sensitivity
The behavior of the indicator is highly dependent on four primary settings:
Length: Determines the significance of the initial pivot. A higher value identifies major swing points, while a lower value identifies minor intraday levels.
Required Consecutive Retests (K): Specifies how many times price must touch the broken level without breaking back through it. Increasing this value requires more confirmation before a setup is considered valid.
Max Bars between Retests (P): Controls the "tightness" of the retest phase. If price takes too long to return for a retest, the setup is invalidated.
Max Bars for Break (N): Defines the window of opportunity for the final breakout. After the required retests are met, price must break the recent extreme (high for bullish, low for bearish) within this many bars.
🔹 Finding Long-Term vs. Short-Term Setups
For users looking for longer-term, more significant setups, it is recommended to increase the Length (e.g., 10-20) and the Max Bars parameters ( N and P ) to allow for the slower price development typical of higher timeframes or major trend shifts.
Conversely, for scalping or fast-moving markets, lower values for Length and P will highlight quick "touch-and-go" patterns.
🔶 DETAILS
The indicator includes a comprehensive dashboard to help users evaluate the historical reliability of the identified structures on the current chart and timeframe.
🔹 Dashboard Metrics
Total: This counts the number of setups that successfully completed the initial break and all required K retests. It represents the "Potential" setups that reached the final stage.
Completion: This tracks how many of the "Total" setups actually achieved a confirmed breakout past the retest extreme within the N bars limit.
Win Rate: This is a predictive performance metric. For every "Completed" setup, the script records the price at the moment of breakout. After N bars have passed since that breakout, it checks if price is still above (bullish) or below (bearish) the breakout level.
🔹 Visualization
The script uses dashed lines to represent the broken pivot level being retested. Solid lines represent the "trigger" level (the extreme of the retest phase). When a setup is completed, a shaded box appears, and a "Break" label is plotted. If "Only Show Complete Setups" is disabled, invalidated setups will remain on the chart in a faded gray color for study.
🔶 SETTINGS
Length: The lookback period used to detect Pivot Highs and Lows.
Max Bars for Break (N): The maximum time allowed for price to break out after the final retest.
Max Bars between Retests (P): The maximum time allowed between the initial break and the first retest, or between subsequent retests.
Required Consecutive Retests (K): The number of successful retests required to validate the zone.
Only Show Complete Setups: When enabled, removes setups from the chart that failed to meet the retest or breakout criteria.
Setup Colors: Customizable colors for bullish, bearish, and invalidated patterns.
Dashboard Settings: Options to toggle the dashboard visibility, change its position on the chart, and adjust its size.
Indicator
Volume-Trend Order Block Engine [BigBeluga]Volume-Trend Order Block Engine is a powerful trading tool for PulseWire. It combines trend direction with volume-weighted Order Blocks (OB) to show you exactly where institutional buyers and sellers are active in real time.
Instead of drawing basic support and resistance lines, this tool filters out market noise using a built-in **Supertrend Engine**. This ensures you only see order blocks that align with the main market trend. It also splits each block based on buy/sell volume, showing you who is in control.
🔵 MAIN FEATURES
1. Supertrend Filter
Trend Direction Filter: Tracks the main market trend and filters out choppy sideways movements using the Volatility SMA Length and Multiplier settings.
Trend Cloud Background: Colors the background ( Show Trend Cloud Fill ) to show you instantly if the market is in an Uptrend or Downtrend.
2. Smart Order Blocks & Volume Split
Trend-Locked Blocks: Finds key swing highs and lows based on your Pivot Strength . In an uptrend, it only looks for buy blocks; in a downtrend, it only looks for sell blocks.
No Overlapping Zones: If a new order block forms over an old one, the tool automatically locks the old zone and starts a clean new one to keep your chart tidy.
Volume Split Line ( Split Price ): Breaks down each order block into buy and sell percentages ( Buy % vs. Sell % ). This shows you the exact strength of the buyers and sellers inside that zone.
3. Retest Alerts & Auto-Clean Engine
Retest Signals: Places a cross marker ( ✚ ) on your chart the moment price enters and tests an active order block.
Volume Thresholds: Filters out weak moves. You can set a minimum volume requirement ( Min Buy % / Min Sell % ) so you only get signals when big institutional money is involved.
Auto-Delete Broken Zones: When enabled ( Delete OB on Complete Break ), the tool instantly deletes broken order blocks once the price completely passes through them. This keeps your chart clean.
🔵 HOW TO TRADE WITH IT
Trend Continuation Entries: When the trend is bullish, wait for the price to pull back into a Bullish OB. If it hits the zone and bounces back up with strong volume, a "Retest" cross will appear, signaling a good entry point.
Precise Entries & Tighter Stops: Use the internal volume split line to find better entries. Entering closer to the bottom of a buy zone allows you to use a much smaller stop loss.
Automatic Risk Invalidation: If you are in a long trade and the price breaks completely below the buy zone, the tool deletes that block. This is your visual sign that the trade setup is no longer valid.
🔵 SETTINGS & CONFIGURATION
Trend & Pivot Settings: Adjust lookbacks and volume filters to fit any market, including Crypto, Forex, or Indices.
Style & Clean-Up: Turn the trend background cloud on/off, customize retest markers, and enable auto-deletion to keep your workspace clear.
Color Themes: Fully customize colors for uptrends, downtrends, text, and signals to match your favorite chart theme.
Upgrade your charts from simple lines to a volume-driven, trend-filtered map with the Volume-Trend Order Block Engine . Indicator
Strong Breakout Signals | ProjectSyndicateStrong Breakout Signals catches high-probability trend breakouts the moment a genuinely tested level gives way — and instead of treating every poke past a line as a breakout, it confirms each one with two independent engines and ranks it 0–10 with a star score. A clustered support/resistance wall that price has touched several times, or a clean break of market structure BOS / CHoCH, has to break with real momentum before a signal arms. Every setup gets a structural stop beyond the broken zone and fixed R-based targets, and is tracked live on a full statistics dashboard so you can see how the logic behaves on the exact symbol and timeframe you trade.
🧠 Dual-Engine Hybrid Breakout Core — the core idea. Two confirmation engines run in parallel. Engine A Clustered-Zone Break only fires when price breaks through a real support/resistance wall built from several pivots stacked at the same level — a level the market has actually respected, not an arbitrary line. Engine B Market-Structure Break tracks the most recent swing high/low and tags the break as BOS break of structure — a continuation or CHoCH change of character — where the break flips the prior direction. When both engines agree on the same bar, the setup earns a confluence bonus. Signals are evaluated on the bar's close and are fixed once that bar closes — historical signals do not repaint the tested-zone pivots confirm after the pivot lookback, an inherent property of pivot detection.
📈 Tested-Zone & Structure Mapping — a pivot engine continuously maps recent swing highs and lows, then groups nearby pivots into banded zones. The more times a level has been tested, and the older the wall, the more significant its break — both feed directly into the strength score. You choose how many touches a level needs to qualify and whether breaks confirm on the candle close stricter or the wick earlier.
🎯 Structural Stop + R-Based Targets — the stop is placed just beyond the broken zone with an ATR buffer the resistance that just broke becomes the new support, or vice-versa, then capped and floored so it can never balloon into a wide stop or collapse into a meaningless one. TP1, TP2, and TP3 are set at clean R multiples TP1 defaults to a full 1R — a real first target, not a clipped one. Every signal plots its complete Entry / SL / TP1 / TP2 / TP3 line set, labeled price levels, and filled green TP / red SL zone boxes, with a result label on exit.
🎚️ Zone-Conviction Controls — two inputs set how established a level must be before its break counts: Minimum Pivot Tests how many touches build the wall and Minimum Strength the 0–10 gate. Tighten them for fewer, higher-quality breakouts; loosen them for more frequent signals. This is your main dial for conviction versus frequency.
🧭 HTF Trend Alignment Filter — an optional higher-timeframe EMA filter blocks counter-trend breakouts, keeping you on the dominant side of the market longs only above it, shorts only below. The higher-timeframe value is read without lookahead. A signal cooldown spaces out entries so a single impulsive move doesn't stack multiple tickets.
⭐ 0–10 Setup-Quality Score — every breakout is scored and labeled with 1–5 stars and a tier FORMING → WEAK → MODERATE → STRONG → VERY STRONG → ELITE across zone quality number of tests, zone age, breakout-candle body, range expansion ATR, volume confirmation, momentum alignment, clean-break distance, RSI agreement, two-engine confluence, and HTF alignment. Treat the score as a confluence / cleanliness read for ranking and thinning setups — it describes how textbook a breakout is, not a guaranteed outcome. A Minimum Strength / Only Strong gate lets you display and alert on stronger setups only, while the dashboard keeps tracking every tier in the background.
📊 Live Statistics Dashboard — a non-intrusive panel tracks, in real time on your chart: current status and the active trade, the last signal with its BOS / CHoCH tag and score, total signals, win rate, closed trades, profit factor, average R per trade, best-performing direction, long vs short win rate, current and max win/loss streaks, and a TP1 / TP2 / TP3 / SL hit breakdown. These are computed live from the signals on your current symbol and timeframe — so you can judge the settings yourself rather than trusting a number printed in a description.
🎨 Clean Themed Visuals — four color themes, a breakout zone whose shading grows more opaque the stronger the score so quality reads at a glance, opaque labels anchored clear of price for unobstructed reading, and a compact level ticket that stays attached to each trade and snaps to the exit bar when it closes. A Max Zone Width control caps how far the SL / TP / Entry zones extend to the right, so long trades never stretch into oversized towers across the chart.
🔔 Detailed Alerts — fires on strong long / short breakouts, plus partial-TP, TP3, and SL events, including direction and score, formatted for manual or automated use. The minimum-strength setting can restrict alerts to higher-conviction setups.
🔧 Fully Customizable — every component is exposed: pivot period and zone-history depth, minimum pivot tests, close-vs-wick break confirmation, the two breakout engines toggle each independently, zone band width, the 0–10 strength gate and Only-Strong filter, ATR length, the structural-stop buffer with risk cap/floor, the three R targets, level-shelf length and Max Zone Width, the HTF alignment filter, the signal cooldown, plus all dashboard, label, theme, and zone-shading options.
🎯 Why this is different — most breakout tools fire the instant price pokes past a line and treat every signal the same, which is exactly how they get chewed up by fakeouts. This one requires a level the market has genuinely tested, or a real break of market structure, classifies it as BOS or CHoCH, demands momentum / range / volume confirmation, anchors the stop to the structure that actually broke, then layers an objective 0–10 ranking and a live, on-chart statistics panel on top — so you are tuning and judging the system on real, current data instead of a marketing figure.
🚀 Where to use it — momentum and trend-developing markets across Forex, Gold XAUUSD, indices, and crypto, on intraday and swing timeframes M10/M15/M30/H1 and up. The ATR-based stop and R targets adapt to each asset's volatility automatically.
🎯 How to trade it
Apply it to a market that produces real breakouts and let the dashboard populate. Read the live win rate, profit factor, and average R for your symbol and timeframe before committing — if the logic doesn't suit that market, you'll see it.
Keep the HTF Trend Alignment filter on so you only take breakouts in the direction of the larger trend.
Wait for a STRONG LONG / STRONG SHORT BREAKOUT label — it marks a confirmed break of a tested zone or structure, with the BOS / CHoCH tag, star score, and Entry, SL, and TP1/2/3 already plotted.
Manage the trade with the plotted levels: a common approach is to take partial profit at TP1 1R, move the stop toward breakeven, and let the rest run to TP2/TP3. The structural SL defines your risk on the trade.
Use Minimum Pivot Tests and Minimum Strength to set your style — stricter for fewer, cleaner breakouts; looser for more activity — and use the star score and Only-Strong gate to focus on the cleanest setups.
⚠️ Important — this is a decision-support tool, not a standalone buy/sell system, and it makes no performance guarantees. Default settings were chosen on historical data and behavior will vary by symbol, timeframe, and configuration; the dashboard's statistics are historical and descriptive, not a forecast. The first target is a genuine 1R and the stop is structural by design no inflated win-rate geometry, which means reward-to-risk and position sizing matter as much as hit rate. Pivot-based zones confirm after the pivot lookback inherent pivot lag, so always wait for the labeled signal on a closed bar. Always combine it with your own analysis and risk management, and test it on your market before trading it live. Indicator
Indicator
Strong Pullback Signals | ProjectSyndicateStrong Pullback Signals identifies high-probability trend-continuation entries by waiting for an established trend, a clean breakout, and then a pullback — and instead of chasing the bounce, it places the entry with a limit order into the pullback at a better price. Every setup is given a structural stop beyond the pullback swing and fixed R-based targets, ranked 0–10 with a star score, and tracked live on a full statistics dashboard so you can see how the logic behaves on the exact symbol and timeframe you trade.
🧠 Limit-Into-Pullback Entry Engine — the core idea. The indicator arms only after a real breakout in the direction of the trend, then works a limit order back into the pullback rather than entering at the close of a confirmation candle. You get filled at a better price on the retracement instead of paying up after the move has already resumed. Signals confirm on closed bars and do not repaint historically.
📈 Triple-EMA Trend Regime — a fast, slow, and pullback EMA define the trend and the retracement zone. A setup can only arm when price, the EMAs, and the EMA slope all agree, so entries are taken with the trend, not against it.
🎯 Structural Stop + R-Based Targets — the stop is placed just beyond the pullback's swing extreme with an ATR buffer, then capped and floored so it can never balloon into a "wide stop" or collapse into a meaningless one. TP1, TP2, and TP3 are set at clean R multiples (TP1 defaults to a full 1R — a real first target, not a clipped one). Every signal plots its complete Entry / SL / TP1 / TP2 / TP3 line set, labeled price levels, and filled green TP / red SL zone boxes, with a result label on exit.
🎚️ Adjustable Entry Depth — one input controls how deep into the pullback the limit sits. Deeper fills mean a better entry price and fewer trades; shallower fills mean more frequent entries. This is your main dial for trading conviction versus frequency.
🧭 HTF Trend Alignment Filter — an optional higher-timeframe EMA filter blocks counter-trend setups, keeping you on the dominant side of the market. RSI-direction and session (time-of-day) screens are also available for further filtering.
⭐ 0–10 Setup-Quality Score — every signal is scored and labeled with 1–5 stars and a tier (FORMING → ELITE) across HTF alignment, trend strength, entry depth, momentum, volume, and session. Treat the score as a confluence / cleanliness read for ranking and thinning setups — it describes how textbook a setup is, not a guaranteed outcome. A "Minimum Stars / Only Strong" gate lets you display and alert on stronger setups only while the dashboard keeps tracking every tier in the background.
📊 Live Statistics Dashboard — a non-intrusive panel tracks, in real time on your chart: current trend and setup status, the active trade, the last signal and its score, win rate, total trades, profit factor, average R per trade, best-performing direction, long vs short win rate, current and max win/loss streaks, and a TP1 / TP2 / TP3 / SL hit breakdown. These are computed live from the signals on your current symbol and timeframe — so you can judge the settings yourself rather than trusting a number printed in a description.
🎨 Clean Themed Visuals — four color themes, opaque labels anchored clear of price for unobstructed reading, and a compact level "ticket" that stays attached to each trade and snaps to the exit bar when it closes.
🔔 Detailed Alerts — fires on strong long / short entries, plus partial-TP, TP3, and SL events, including direction and score, formatted for manual or automated use. A minimum-stars setting can restrict alerts to higher-conviction setups.
🔧 Fully Customizable — every component is exposed: the three EMAs and slope, breakout lookback and body filter, cooldown, entry depth, structural-stop buffer with risk cap/floor, the three R targets, the HTF / RSI / session filters, the six score weights, and all dashboard, label, and theme options.
🎯 Why this is different — most pullback and reversal tools enter by chasing a confirmation candle and treat every signal the same. This one fixes the entry mechanics first (a limit into the pullback for a better fill, with a structural stop and honest R targets), then layers an objective 0–10 ranking and a live, on-chart statistics panel on top — so you are tuning and judging the system on real, current data instead of a marketing figure.
🚀 Where to use it — trend-following markets across Forex, Gold (XAUUSD), indices, and crypto, on intraday and swing timeframes (M10/M15/M30/H1 and up). The ATR-based stop and R targets adapt to each asset's volatility automatically.
🎯 How to trade it
Apply it to a market that actually trends and let the dashboard populate. Read the live win rate, profit factor, and average R for your symbol and timeframe before committing — if the logic doesn't suit that market, you'll see it.
Keep the HTF Trend Alignment filter on so you only take pullbacks in the direction of the larger trend.
Wait for a STRONG LONG / STRONG SHORT label — that marks a filled limit entry into a pullback, with Entry, SL, and TP1/2/3 already plotted.
Manage the trade with the plotted levels: a common approach is to take partial profit at TP1 (1R), move the stop toward breakeven, and let the rest run to TP2/TP3. The structural SL defines your risk on the trade.
Use Entry Depth to set your style — deeper for fewer, higher-quality fills; shallower for more activity — and use the star score and Minimum-Stars gate to focus on the cleaner setups.
⚠️ Important — this is a decision-support tool, not a standalone buy/sell system, and it makes no performance guarantees. Default settings were chosen on historical data and behavior will vary by symbol, timeframe, and configuration; the dashboard's statistics are historical and descriptive, not a forecast. The first target is a genuine 1R and the stop is structural by design (no inflated win-rate geometry), which means reward-to-risk and position sizing matter as much as hit rate. Always combine it with your own analysis and risk management, and test it on your market before trading it live. Indicator
Strong Candlestick Patterns | ProjectSyndicateStrong Candlestick Patterns automatically detects, scores, and highlights 25 classic Japanese candlestick patterns using an objective, non-repainting engine built on the teachings of Steve Nison. It confirms every pattern on the bar close, grades each setup 0–10 for quality, draws it as a clean color-coded zone with a name label and ★ star rating, and surfaces the most recent signal on every timeframe through a non-intrusive multi-timeframe scanner — turning subjective candle-reading into a quantifiable, repeatable process.
🕯️ 25-Pattern Detection — recognizes the full Nison family from raw geometry: Hammer, Hanging Man, Inverted Hammer, Shooting Star, Dragonfly / Gravestone / Long-Legged Doji, Bullish / Bearish Marubozu, Bullish / Bearish Engulfing, Bullish / Bearish Harami, Piercing Line, Dark Cloud Cover, Tweezer Top / Bottom, Bullish / Bearish Windows (gaps), Morning Star, Evening Star, Three White Soldiers, Three Black Crows, and Rising / Falling Three Methods.
🔒 Close-Confirmed, Non-Repainting — patterns are evaluated on confirmed candles only; the live bar waits for its close before committing, so signals, zones, and labels are stable and never redrawn after the fact.
⭐ 0–10 Quality Scoring — every setup is graded by blending five factors Nison stresses: textbook shape fit (40%), candle significance vs ATR (22%), trend-context strength (18%), volume confirmation (12%), and EMA confluence (8%). The result is shown as a ★ star meter with a numeric score and a WEAK / MODERATE / STRONG / ELITE tier, so you can instantly gauge conviction and filter for only the best.
🧭 Trend-Context Gating — reversal patterns fire only counter-trend and continuation patterns only with-trend (toggleable), enforcing the core rule that a pattern is meaningless without the right preceding trend.
🎨 Direction-Matched Zones & Labels — each pattern is boxed as a blue (bullish), orange-red (bearish), or gray (neutral) zone spanning its candles, with a clean name label and rating placed above bearish setups and below bullish ones for instant, clutter-free read.
📡 Multi-Timeframe Scanner Row — a non-repainting top dashboard shows the symbol plus eight fully configurable timeframes (M15 → D1 by default), each displaying the latest pattern and its bars-ago count, with fresh signals highlighted so you can spot multi-timeframe alignment at a glance.
✅ Advanced Quality-Control Filters — strong-only mode (default: ELITE 8+), direction filter, ATR-based minimum candle-size gate, per-pattern shape tolerances (doji body %, shadow multiple, engulfing/tweezer/star ratios), minimum bars between signals, and individual on/off toggles for all twelve pattern groups eliminate noise and over-signaling.
🔔 Comprehensive Alerts — a single rich alert() message (direction, pattern name, 0–10 score, symbol, timeframe, close) for automation, plus three individually selectable named conditions: Bullish Pattern, Bearish Pattern, and Elite Pattern (8+).
🔧 Fully Customizable — control trend EMA and lookback, volume average, zone padding and transparency, bullish/bearish/neutral colors, label and scanner text sizes, scanner position, and the per-timeframe set.
🎯 Why this is unique: Standard candlestick tools simply paint a name on a candle with no context or grading. This is an objective, fully-gated, non-repainting engine that recognizes 25 patterns from raw OHLC geometry, confirms each on the close, validates it against trend context and volume, grades its quality 0–10, and tracks it across eight timeframes — so you act only on the highest-conviction setups instead of every random wick.
🚀 Apply to Gold (XAUUSD), Forex, Crypto, Indices, and equities on any timeframe. The ATR-based, self-scaling logic adapts from M5 scalping to H4/Daily swing trading.
🎯 How to use this? Favor higher-star (STRONG/ELITE) setups that align with the higher-timeframe trend shown in the scanner row. Use the strong-only threshold to keep the chart sparse and focus on quality; loosen the shape tolerances if a pattern fires too rarely on a given asset, or tighten them to reduce noise.
⚠️ IMPORTANT NOTICE: This indicator identifies quality-graded candlestick signals; it should NOT be used as a standalone entry trigger. Always combine it with your own trading strategy, price-action analysis, key support/resistance levels, and sound risk management to confirm setups. Indicator
Strong FU Candle | ProjectSyndicateSTRONG FU CANDLE
Strong FU Candle marks the exact bars where the market sweeps liquidity and snaps back — the classic "follow-up" reversal candle that traps breakout traders and ignites the move the other way. It scans every bar for a liquidity grab beyond the prior candle's wick followed by an engulfing close back through it, grades each setup on candle anatomy, projects a full Entry / Stop / TP1-TP2-TP3 trade plan with live fill tracking, and stores the resulting liquidity zones so you can see — on the same chart — which FU types actually held and which failed.
🎯 0–10 QUALITY SCORE
Each FU candle earns a live grade from five sign-stable anatomy factors on the setup bar itself:body dominance — body-to-range ratio (a real FU closes near its extreme, not in the middle).Opposite wick — penalises any pullback from the close back into the body, since a clean FU has almost no opposite wick.Grab wick — rewards a meaningful sweep wick but punishes the oversized "all wick, no body" candle.Close position — how far into the bar's range the close lands (≥90% of range = full credit).Size & participation — bonus when the candle is normal-sized relative to ATR (not a micro-bar, not a freak spike) and volume is at or above its average.
🏷️ CALIBRATED TIERS — C / B / A / S
The raw 0–10 score maps to four tiers, calibrated on 8 H1 FX pairs (2024–2026) at 1:1 RR: C≈52%, B≈53%, A≈55%, S≈59% win rate (vs 54.6% unfiltered). Raise the minimum tier toward A/S for higher win rate and fewer signals; drop to C for maximum signal flow.
🕯️ FULL vs ATTEMPTED (ATT) FU
Full FU = close fully engulfs the prior candle's wick. Attempted FU = close engulfs the prior candle's body but not its wick — weaker, but often a valid early reversal. ATT can be toggled off entirely.
🧹 FILTERS
EMA filter (bull FUs only above EMA, bear FUs only below — keeps you trading with short-term momentum), rejection filter (drops candles where the opposite-side wick is larger than the body), fractal filter (requires the FU to actually sweep a recent swing high/low), and a configurable point-size system so every threshold — grab size, engulf depth, min/max body, min range — scales correctly across gold, FX, indices and crypto.
🧊 LIVE LIQUIDITY ZONES
Every qualifying FU is drawn as a zone anchored to the bar that created it, sourced from either the grab wick (default) or the full FU candle range, with an optional 50% midline. Zones never drift — they sit on the price action that formed them. A label above each zone shows timeframe, side, tier, score, BIW marker, and the live win rate of that side on this timeframe.
📜 HISTORIC ZONES & WINNER LEVELS
Old zones fade into a historic layer, colour-coded by outcome (green = TP1 hit, red = stopped out). Option to show winners only and clean the chart of losses. For the most recent N winners the indicator can re-draw the original Entry, Stop and TP1/TP2/TP3 lines on the historic zone, so you can visually audit exactly how the playbook performed in past conditions.
📐 PROJECTED TRADE PLAN — ENTRY / SL / TP1-TP2-TP3
Every new FU prints a complete trade plan on the chart: Entry (at 50% body, 50% wick, or FU close — your pick), Stop with adjustable buffer beyond the candle, and TP1 / TP2 / TP3 at user-defined R multiples. Reversal mode treats bullish FU as a BUY; Fade mode flips it.
🎛️ LIVE TRADE PANEL
A side panel tracks the latest setup in real time: direction, exact Entry / SL / TP1 / TP2 / TP3 prices, and a live status line — PENDING → FILLED → TP1 hit → TP2 hit → TP3 HIT, or STOPPED OUT, or NO FILL (missed) if price ran without filling.
📊 STATS DASHBOARD
A separate leaderboard tracks per-side performance on the current timeframe and current tier filter: Win Rate, Probability of Touch (fill rate), Expected Value in R, configured R:R, average bars to win, average bars to loss, and a W / L • n • avg-score line. BUY and SELL columns are tracked independently so you can see if one side is dominating.
🌐 MULTI-TIMEFRAME OVERLAY
Up to three higher timeframes can be overlaid as drawn-only zones (15m / 1H / 4H by default, any TF), so a 5m chart can show 1H FU zones still in play. Higher-TF zones are draw-only and excluded from current-TF stats to keep the dashboard honest.
🔔 NATIVE ALERTS
Dedicated alerts for a BUY setup formed, a SELL setup formed, any bullish/bearish FU on any active TF, price touching an FU zone (entry filled), and price approaching a zone within a user-set tick proximity.
🔧 FULLY ADJUSTABLE
Detection thresholds in points (grab size, engulf depth, min range, min/max body); ATT FU on/off; EMA / rejection / fractal filter toggles and lengths; volume baseline length; minimum tier and minimum numeric score; direction logic (Reversal vs Fade); entry mode and stop buffer; TP1/TP2/TP3 multiples; zone source (grab wick vs full range), max active zones per side, historic cap, transparencies, midline on/off; full colour theme (bull, bear, win, loss, touched border); candle-colour toggle; label size; dashboard position and text size; up to three MTF channels; alert proximity.
🚀 Works on gold (XAUUSD), silver, forex, crypto and indices, on any timeframe.
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HOW TO TRADE IT — TWO APPROACHES
The tier chooses the playbook. High-tier FUs tend to reverse cleanly; low-tier FUs are coin flips that need extra confluence.
TRADE THE FU — reversal (A / S tier, score ≥ 6.5)
Use when a high-tier FU prints — calibrated to win ~55–59% at 1:1 with positive expectancy.
Wait for the FU to close and the trade plan to draw — Entry, SL, TP1/TP2/TP3.
Take the entry at your chosen level (50% body is the default — gives a pullback fill).
Stop just past the FU extreme with the buffer.
Scale at TP1, trail or hold for TP2 / TP3.
The trade panel tells you live whether you are PENDING, FILLED, in profit, or stopped.
FILTER & WAIT — selectivity (C / B tier)
Use C and B tier as context, not standalone signals — at the unfiltered ~54% baseline they need help.
Drop to C/B only when stacked with: a strong S/R level, an HTF FU in the same direction, an EMA reclaim/loss, or a fractal sweep.
Otherwise raise the minimum tier to A or S and accept fewer signals for a higher hit rate.
Use the live dashboard — if BUY WR on this TF is sitting at 45% over a decent n, that's a signal to either flip to Fade mode or sit out longs entirely on this instrument.
Rule of thumb: S/A tier → take the trade as drawn. B/C tier → needs confluence, or skip. Watch the live dashboard — let the actual win rate on this instrument tell you which side is paying.
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⚠️ This tool identifies high-probability liquidity-grab reversal candles and frames a full trade plan around each one. It is NOT a standalone buy/sell signal. Always combine it with your own strategy, price-action analysis and risk management to confirm setups. Past statistical behaviour does not guarantee future results. Indicator
