Structural Layer 2: Execution State EngineThe Structural Layer 2: Execution State Engine is a first-principles market classifier that strips away lagging indicators to analyze the raw relationship between price velocity and volume.
Built from scratch using rolling mathematical Z-scores, this indicator measures real-time market effort versus result. It compares current price spread (velocity) and external exchange volume against their structural baselines, grouping price action into four distinct "Execution States."
By categorizing every bar based on standard deviations from the mean, it visually highlights whether a move is backed by true conviction, being absorbed by larger players, or simply drifting on thin liquidity.
🚦 The 4 Execution States (Color Coded)
This indicator paints your chart’s bars to reveal the underlying market state (optimized for white backgrounds):
🔵 Blue (State A - Breakout Momentum): High Velocity + High Volume. True directional conviction. Price is covering significant distance backed by heavy participation.
🟠 Orange (State B - Institutional Absorption): Low Velocity + High Volume. High effort, low result. Heavy volume is entering the market, but the price isn't moving. This signals potential absorption, accumulation, or distribution by larger participants.
🟣 Purple (State D - Fragile Vacuum): High Velocity + Low Volume. Fast price movement on thin air. These are low-liquidity vacuum moves that are structurally fragile and often prone to mean reversion.
⚪ Light Gray (State C - No-Trade Drift): Low Velocity + Low Volume. The baseline noise. No significant volume and no significant price movement. Generally a chop or no-trade zone.
⚙️ Key Features
External Volume Routing: Fetch volume directly from major exchanges (default: Binance/Coinbase SOLUSD) to bypass localized data gaps and get a truer read on market participation.
Math from First Principles: Relies strictly on raw math (rolling means, variance, and Z-scores) instead of wrapped, smoothed TA functions that introduce lag.
Customizable Lookback: Adjust the structural lookback window (default: 48 hours) to tune the engine to your preferred timeframe and volatility baseline.
How to Use:
Use the bar colors to dictate your execution style. Ride momentum on Blue bars, look for reversals or traps on Orange bars, be cautious of fake-outs on Purple bars, and protect your capital from chop on Gray bars. Indicator
Sheabot Relative Volume and RangeDisplay a combined table showing relative volume and relative range (also known as Daily True Range vs Average True Range) on all timeframes. The table rows change colors based on the relative volume and relative range values. The values and colors can be configured.
These indicators are combined together for a more efficient display in the same location. These indicators also commonly move together. A low relative volume will also likely have a low relative range. A high relative volume may accompany the price breaking out past the average range and a relative range over 100%. The relative range can also help set price targets. If the relative range is less than 100%, then the stock has not yet moved to its average range.
These concepts are used and inspired by the great @ripster47 .
Relative Volume
Table displays current volume, average volume, and relative volume as a percent of current volume / average volume over the timeframe.
When the timeframe is 1D or less, then the current volume is the volume for the day so far, and the average volume is calculated over the past bar length days.
When the timeframe is greater than 1D, then the current volume is the volume for the week/month/year so far, and the average volume is calculated over the past bar length weeks/months/years.
High Percent: Default is 100. Relative volume below this is considered low and the table row is colored grey. Relative volume above this is considered high and the table row is colored yellow.
Unusual Percent. Default is 200. Relative volume above this is considered unusual and the table row is colored green.
Relative Range
Table displays daily true range (DTR), average true range (ATR), and relative range as a percent of DTR / ATR over the timeframe.
When the timeframe is 1D or less, then the daily true range is the difference between the high and low price since open, and the average true range is calculated over the past bar length days.
When the timeframe is greater than 1D, then the daily true range is the difference between the high and low price for the past week/month/year, and the average true range is calculated over the past bar length weeks/months/years.
Normal Percent: Default is 50. Relative range below this is considered low and the table row is colored grey. Relative range above this is considered normal and the table row is colored yellow.
High Percent. Default is 90. Relative range above this is considered high and the table row is colored red.
Indicator
Liquidity Trail Matrix [WillyAlgoTrader]📊 Liquidity Trail Matrix (LTM) is an overlay trend-following system that combines a four-band proportional ATR trailing stack, a 5-factor retest quality score (0–100), a non-repainting higher-timeframe bias filter, a range-distributed volume profile of the current trend segment (POC / Value Area / HVN / LVN), and a full trade engine with wick-anchored stops, three R-multiple targets, break-even automation and honest session statistics — all in one indicator.
The core insight: a single trailing stop line gives you a binary answer — "in trend" or "flipped". But price interacts with the liquidity zone around the trail in layers: shallow pullbacks, deep sweeps, and full reversals all look different. LTM replaces the single line with a graded four-band matrix, scores every pullback-and-reclaim by depth, candle quality, volume, higher-timeframe alignment and trend maturity, and overlays where volume actually accumulated during the current trend leg — so you can see whether a retest is landing on real acceptance (HVN / POC) or falling into a volume vacuum (LVN).
Works on all markets (crypto, forex, stocks, indices, commodities) and all timeframes. On zero-volume symbols the profile automatically switches to a range-weighted proxy.
🧩 WHY THESE COMPONENTS WORK TOGETHER
A trailing stop alone tells you the trend direction but nothing about entry quality — every touch of the line looks the same. A volume profile alone shows you where volume traded but has no concept of trend regime or entry timing. A retest signal alone fires on any bounce, whether it happens in a mature trend with higher-timeframe support or in the dying bars of an exhausted move. Used separately, these tools leave you guessing.
LTM chains them into one pipeline:
ATR band stack → trend flip detection → pullback depth measurement → 5-factor quality scoring → HTF bias confirmation → trade engine (entry / SL / TP / BE) → segment volume profile context → session outcome tracking
The band stack defines the trend and, critically, grades how deep each pullback penetrates (Band 1 = shallow, Band 4 = extreme). That depth becomes the largest single component of the retest score. The score is then adjusted by the reclaim candle's close location, relative volume, trend age, and the higher-timeframe EMA-50 bias — five independent dimensions that a plain trailing stop cannot see. Every confirmed signal is handed to the trade engine, which places a structure-aware stop, three risk-multiple targets and manages break-even. Meanwhile the volume profile is rebuilt from the exact flip bar of the current trend, so POC, Value Area and LVN levels always describe this leg — telling you whether your entry sits on volume acceptance or in a vacuum. Finally, every closed trade feeds the on-chart statistics, so the dashboard shows how this exact configuration has behaved on this exact chart.
Remove any link and the chain breaks: without band depth there is no meaningful score; without the score every bounce is a signal; without the segment-anchored profile the volume context is stale; without the trade engine the signals have no defined risk; without stats you never learn whether the settings fit the instrument.
🔍 WHAT MAKES IT ORIGINAL
1️⃣ Proportional four-band trail geometry — spacing that scales with width.
Most multi-line trails use fixed offsets (base, base+1, base+2 ATR). LTM computes every band as a proportion of the base multiplier:
Band K distance = base × (1 + K_offset × step), giving four multipliers:
— m1 = base
— m2 = base × (1 + step)
— m3 = base × (1 + 2 × step)
— m4 = base × (1 + 3 × step)
With the default Balanced preset (base 4.0, step 0.25) that yields 4.0 / 5.0 / 6.0 / 7.0 ATR. Because spacing is proportional, the geometry of the stack stays visually and behaviorally consistent whether you run tight Scalping bands (2.5 × ATR, step 0.20) or wide Deep Trend bands (6.0 × ATR, step 0.30). Each band ratchets independently (max-lock in uptrends, min-lock in downtrends) and never loosens.
Why this matters: fixed +1/+2/+3 offsets make the stack proportionally "fat" at small base values and "thin" at large ones — proportional spacing keeps pullback depth grading meaningful at any width.
2️⃣ Selectable flip depth — you choose which band defines a reversal.
The trend flips only when price closes beyond a user-chosen band from the previous bar: Fast (Band 2), Balanced (Band 3, default) or Deep (Band 4). Comparing against the previous bar's band value prevents same-bar feedback between the flip and the band update. A warm-up guard (max(3 × ATR length, 60) bars) suppresses all signals until the ATR stack is statistically stable.
Why this matters: flip sensitivity becomes an explicit, single-purpose setting instead of an accidental side effect of band width.
3️⃣ 5-factor retest quality score (0–100) — every signal explains itself.
When price touches any band and then reclaims Band 1 with a directional candle inside the retest window (default 8 bars), LTM computes:
— 📐 Pullback depth (max 25) : Band 2 touch = 25, Band 3 = 18, Band 1 = 15, Band 4 = 10. The maximum touched depth during the pending window is used. Note the deliberate non-linearity: Band 2 scores highest — deep enough to reset liquidity, not deep enough to threaten the trend. Band 4 sweeps score lowest because they often precede full reversals.
— 🕯️ Reclaim candle (max 20) : close location value CLV = (close − low) / (high − low) for longs (mirrored for shorts). CLV > 0.7 → 20 points, > 0.5 → 12, else 5. A reclaim that closes near its extreme shows commitment.
— 📊 Volume (max 20) : current volume vs. the previous bar's 20-period SMA — the spike must not dampen itself by inflating its own average. Volume > 1.2 × baseline → 20, > 1.0 × → 12, else 5. Symbols without volume data receive a neutral 12.
— 🧭 HTF bias (max 20) : aligned with the higher-timeframe EMA-50 direction → 20, no HTF data → 10, against bias → 0.
— ⏳ Trend age (max 15) : 10–150 bars into the trend → 15 (mature, established), under 10 bars → 8 (unproven), over 150 → 5 (aging).
Signals print only when the total meets the Min Retest Score (default 80) and the shared anti-whipsaw cooldown (default 5 bars, deliberately shared across both directions) has elapsed. Every diamond label shows the score, and its tooltip breaks down all five components — no black-box signals.
4️⃣ Non-repainting higher-timeframe bias.
HTF bias compares the higher timeframe's previous closed bar close against its EMA-50, requested with confirmed-bar indexing so the value never changes retroactively. Bias is a soft score component (0/10/20 points), not a hard filter — counter-bias signals can still print if the other four factors are strong enough.
5️⃣ Segment volume profile — range-distributed, anchored to the live trend leg.
The profile is rebuilt on the last bar from the exact flip bar of the current trend (capped by Max Profile Bars, default 500) — no arbitrary lookback padding. Accumulation is range-distributed: each bar's volume is split across every price bin its high–low range overlaps, weighted by overlap fraction:
bin_volume += bar_volume × overlap(bin, bar_range) / (bar_high − bar_low)
This shows where volume actually traded, not where bars happened to close. From the histogram LTM derives:
— 🟡 POC — the highest-volume bin of the segment, drawn with price and volume label. The strongest magnet / defense level of this leg.
— 📦 Value Area (70%) — expanded symmetrically from POC by always adding the larger neighboring bin until 70% of segment volume is enclosed. VAH / VAL edges act as dynamic S/R.
— 📈 HVN — local volume peaks ≥ 0.55 × POC volume (configurable): acceptance shelves where price tends to stall.
— 🕳️ LVN — local troughs ≤ 0.30 × POC volume inside the Value Area (configurable): volume vacuums that price tends to travel through quickly. Each LVN is labeled and feeds a dedicated break alert.
On symbols with no volume feed (forex, some CFDs) the engine substitutes a true-range proxy per bar, so the profile stays structurally meaningful instead of failing.
6️⃣ Trade engine with strict signal-trade parity.
Every confirmed signal (scored retest or trend flip) acts, with unambiguous rules:
— flat → open a position in the signal direction
— opposite position → reverse (close and enter the new direction on the same bar)
— same-direction position → ignored (no pyramiding, no stop tampering)
There are exactly four closure paths: SL hit, break-even stop-out, TP3 touch, or reversal by an opposite signal. Hit detection uses three safety guards: an entry-bar guard (SL/TP are never evaluated on the entry bar itself), a pessimistic same-bar rule (if a bar touches both SL and a TP, the SL wins — statistics never get the benefit of the doubt), and a break-even latency rule (a stop moved to break-even mid-bar cannot trigger on that same bar — the engine checks against the bar-start stop value).
7️⃣ Wick-anchored stop-loss mode.
Two SL modes at entry:
— Wick-Anchored (default) : SL = signal bar's wick extreme ± 0.25 × ATR buffer, with a minimum distance of 0.5 × ATR enforced. The stop hides behind the structure that produced the signal instead of floating at an arbitrary distance.
— ATR : classic fixed SL Multiplier × ATR from entry.
TP1 / TP2 / TP3 are pure risk multiples of the actual SL distance (defaults 1R / 2R / 3R), so the reward structure automatically adapts to how much room the stop needed. Four risk presets (Conservative 2.5 × ATR SL, TP 1/2/4R; Balanced 1.5, TP 1/2/3R; Aggressive 1.0, TP 1.5/2.5/4R; Scalping 0.8, TP 0.8/1.5/2R) plus full Custom control. Optional break-even moves the stop to entry after TP1.
8️⃣ Honest session statistics with a fixed win definition.
A closed trade counts as a win only if TP1 was touched before closure — including break-even stop-outs after TP1 (you banked at least 1R or protected the position). Everything else is a loss, including reversals that never reached TP1. The dashboard shows closed trades, W/L, win rate with a ▰▱ gauge, and a "Form" strip of the last 10 outcomes. Stats are session-scoped and reset on chart reload — this is transparent live tracking of the current settings on the current chart, not a backtest report.
9️⃣ Trend P&L tracker and theme-aware visual system.
An optional floating label follows price in real time and shows the directional % move since the current trend flip (a falling bear trend shows positive %), anchored by a dotted baseline at the trend start price. The label turns red when the trend is under water. The entire visual layer — band transparencies, heatmap fills, dashboard, profile, SL/TP palette — has separate Dark and Light calibrations (Auto-detected from the chart background), because bright hues that look right on dark charts wash out on white ones. TP lines recolor to solid teal with a ✓ when touched; the SL line dims and the entry label annotates "→ SL (BE)" when break-even activates. SL/TP lines persist after the trade closes as a visual record until the next entry replaces them.
⚙️ HOW IT WORKS — CALCULATION FLOW
Step 1 — Band geometry: The preset (or Custom inputs) resolves the base multiplier and proportional step; four multipliers m1–m4 are derived and multiplied by ATR (default length 13).
Step 2 — Ratcheting trail: In an uptrend each band only rises (max-lock); in a downtrend only falls (min-lock). On a flip the whole stack re-seeds on the opposite side of price.
Step 3 — Flip detection: A close beyond the previous bar's value of the chosen flip band (2/3/4) reverses the trend state. Flip labels print on confirmed bars after the warm-up period.
Step 4 — Pullback tracking: Any touch of Band 1–4 against the trend arms a pending retest with its maximum depth, valid for the retest window; pendings decay each bar and are voided on a flip.
Step 5 — Reclaim and scoring: A directional close back beyond Band 1 triggers scoring: depth (25) + candle (20) + volume (20) + HTF bias (20) + trend age (15). Score ≥ threshold and cooldown elapsed → confirmed signal on bar close.
Step 6 — Trade engine: The signal opens or reverses a position; SL is placed (wick-anchored or ATR), TP1–TP3 are projected as risk multiples; break-even, TP recolors and the four closure paths are managed bar by bar with pessimistic resolution.
Step 7 — Segment profile: On the last bar the profile is rebuilt from the flip bar: range-distributed accumulation → POC → 70% Value Area expansion → HVN/LVN detection → drawing.
Step 8 — Reporting: The dashboard updates trend state, signal state, profile levels, live trade card and session statistics; alerts fire on bar close in within-bar chronological order (management → closures → reversal → entries → info).
📖 HOW TO USE
🎯 Quick start:
1. Add the indicator to your chart and pick a Band Width Preset: Scalping for 1–15M, Balanced for most timeframes, Deep Trend for D–W position trading.
2. Set the Higher Timeframe Bias one or two steps above your chart (e.g. 1H while trading 15M).
3. Choose a Risk Preset that matches your style, or leave Balanced.
4. Watch the dashboard: Trend + HTF Bias aligned means you only consider signals in that direction with full conviction; the retest diamonds do the timing.
5. After 15–20 closed trades, read the Stats section and tune Min Retest Score up (fewer, cleaner signals) or down (more signals) for your instrument.
👁️ Reading the chart:
— 🟢 / 🔴 Band stack + heatmap = the liquidity trail zone; the deeper the fill, the closer price is to a trend flip.
— ◆ diamond with a number = confirmed scored retest entry (the number is the 0–100 quality score; hover the tooltip for the full component breakdown).
— ▲ / ▼ FLIP = confirmed trend reversal through the chosen flip band.
— Long ▲ / Short ▼ = trade entry taken by the engine on a flip (printed when there is no retest diamond on the same bar, so every entry is visibly marked).
— ENTRY / SL / TP1–TP3 lines = the live trade card; TP lines turn solid teal with ✓ when touched; a dimmed SL with "→ SL (BE)" on the entry label means the stop sits at break-even.
— 🟡 POC line = highest-volume price of the current trend leg; dashed VAH/VAL = Value Area edges; LVN labels = volume vacuums inside the Value Area.
— ▲ +X.XX% floating label (optional) = real-time directional P&L of the current trend since the flip.
📊 Dashboard fields:
— Trend / Age : direction of the band stack and bars since the last flip.
— HTF Bias : higher-timeframe EMA-50 direction (soft score component).
— Signal : current engine position — LONG, SHORT or Wait.
— Last signal : most recent event, its score, and bars elapsed.
— POC / VA High / VA Low : live segment profile levels.
— Entry / SL / TP1–TP3 / R:R / SL Dist % : the open trade card ("BE @" marks a break-even stop; ✓ marks touched targets); collapses to one row when flat.
— Trades / W-L / Win rate / Form : session statistics; ▰ = win, ▱ = loss, newest on the right.
🔧 Tuning guide:
— Too many weak signals: raise Min Retest Score toward 85–90, or increase Signal Cooldown.
— Too few signals: lower Min Retest Score toward 55–65, or widen the Retest Window to 10.
— Whipsaw flips on a choppy symbol: switch Flip Band to Deep (Band 4) or move to the Deep Trend preset.
— Flips lag too far behind on fast moves: Flip Band → Fast (Band 2) or the Scalping preset.
— Stops feel too tight / too wide: switch SL Mode between Wick-Anchored and ATR, or change the Risk Preset; on volatile symbols prefer Conservative.
— Profile looks coarse on long trends: raise Profile Rows to 50+ and Max Profile Bars toward 800.
— Counter-trend retests keep printing: set an explicit Higher Timeframe Bias — counter-bias signals lose 20 points and rarely clear a high threshold.
⚙️ KEY SETTINGS
⚙️ Trend Engine:
— Band Width Preset (default Balanced): Scalping 2.5 × ATR / step 0.20, Balanced 4.0 / 0.25, Deep Trend 6.0 / 0.30, or Custom.
— Base Multiplier (default 5.0) and Band Spacing (default 0.25): manual geometry, active in Custom preset only.
— ATR Length (default 13): lookback for band-width ATR.
— Source (default close): price series for trailing and flips.
— Flip Band (default Balanced / Band 3): which band a close must breach to flip the trend.
— Higher Timeframe Bias (default empty = chart TF): HTF for EMA-50 bias scoring.
🎯 Signals:
— Min Retest Score (default 80): 0–100 quality threshold for retest diamonds.
— Retest Window (default 8 bars): how long a band touch stays armed for a reclaim.
— Signal Cooldown (default 5 bars): minimum spacing between signals, shared across directions.
📦 Volume Profile:
— Show Segment Volume Profile (on), Profile Rows (30), Profile Width (34 bars), Max Profile Bars (500).
— Show POC (on), Show Value Area 70% (on), Show HVN / LVN Levels (on), Profile Label Size (Small).
🛡️ Risk Management:
— Risk Preset (default Balanced): Conservative / Balanced / Aggressive / Scalping / Custom.
— SL Mode (default Wick-Anchored): structure-aware wick stop vs. fixed ATR distance.
— ATR Length (Risk) (14), SL Multiplier (1.5), TP1 / TP2 / TP3 Multipliers (1.0 / 2.0 / 3.0 × risk) — Custom preset.
— Break-Even After TP1 (on): stop moves to entry once TP1 is touched.
— Show SL/TP Lines / Labels / % Distance and per-line style controls (Entry dotted, SL solid, TP dashed by default).
🎨 Visual:
— Theme (Auto / Dark / Light), Show Trail Bands , Show Band Heatmap Fill , Show Retest Signals , Show Flip Labels , Show Trend P&L Tracker (off by default), label size controls, watermark toggle, Bull / Bear color pickers.
📊 Dashboard:
— Show Dashboard (on), position (5 anchors), font size, and independent toggles for the Market, Profile, Trade and Stats sections.
🔧 Advanced:
— HVN Threshold (default 0.55 × POC volume): minimum relative volume for an acceptance node.
— LVN Threshold (default 0.30 × POC volume): maximum relative volume for a vacuum node.
🔔 ALERTS
— 🟢 LONG ENTRY / 🔴 SHORT ENTRY — ticker, timeframe, price, signal score, SL, TP1–TP3, R:R. Plain text or JSON webhook format ({"action":"buy"...}) for bot integrations.
— 🎯 TP1 / TP2 / TP3 HIT — target touches with prices (optional).
— 🛡️ BREAK-EVEN — stop moved to entry after TP1 (optional).
— 🛑 SL HIT / BE STOP-OUT — stop-loss trigger with direction, entry and stop prices; a distinct BE variant when the stop was at break-even.
— 🔄 REVERSAL — position reversed by an opposite signal, with the closed trade's outcome (after / before TP1).
— ▲ / ▼ TREND FLIP — informational flips that did not open or reverse a trade.
— ⚡ LVN BREAK — a close crossing a Low Volume Node of the live segment profile (price entering a volume vacuum often accelerates).
All alerts fire once per bar close. Alerts are ordered by within-bar chronology: trade management → closures → reversal → new entries → informational.
⚠️ IMPORTANT NOTES
— 🚫 No repainting. All signals, entries and alerts are confirmed on bar close (barstate.isconfirmed). The trend flip compares against the previous bar's band value. The HTF bias uses the higher timeframe's previous closed bar, so its value never changes retroactively. A warm-up guard suppresses signals for the first max(3 × ATR length, 60) bars.
— 📐 The segment volume profile is a live construct. It is redrawn on the last bar for the current trend leg and evolves as the leg grows — this is by design (it describes the present segment), and historical profile states are not preserved.
— 📊 Session statistics reset on chart reload. They are transparent live tracking of the current settings on the current symbol and timeframe — not a backtest, and past performance does not guarantee future results.
— ⚖️ Same-bar ambiguity is resolved pessimistically. If one bar touches both a stop and a target, the stop wins in the statistics. Intrabar sequence cannot be known from OHLC data, so the engine never gives itself the benefit of the doubt.
— 🕳️ Zero-volume symbols use a range-weighted proxy for the profile, and the volume score component defaults to a neutral value — profile shapes on such symbols reflect price dwell time, not traded volume.
— 🛠️ This is an analysis and trade-planning tool, not an automated trading bot. It detects trend state, scores retests, projects stops and targets, and tracks outcomes — trade decisions remain yours.
— 🌐 Works on all markets and timeframes. Indicator
Median Gaussian Trend | NAL1. Overview
Median Gaussian Trend | NAL is an adaptive trend-band indicator built from a median price baseline, Gaussian smoothing, and Gaussian-weighted volatility bands.
The indicator is designed to filter raw price movement into a smoother directional structure. Instead of using a simple moving average or standard deviation channel, it first compresses price through a median calculation, then applies Gaussian smoothing to create a cleaner baseline. Around that baseline, it builds adaptive upper and lower bands using Gaussian-weighted deviation.
The result is a robust, smooth trend regime tool that identifies when price breaks outside its filtered volatility structure.
2. Calculation
The indicator starts by calculating a median of the selected source. This helps reduce noise by focusing on the central value of recent price action instead of reacting directly to every candle.
That median value is then passed through a Gaussian filter. The Gaussian filter gives more structured weighting to the lookback window, producing a smoother baseline while still preserving directional movement.
The indicator then calculates a Gaussian-weighted deviation around the smoothed median baseline. This creates a custom volatility measurement that is more aligned with the filtered baseline rather than raw price alone.
The upper and lower bands are then built around the Gaussian-smoothed median. The script allows separate upper and lower multipliers, which lets the band structure be asymmetric if needed.
upper = median_base + sd_range * sd_mul
lower = median_base - sd_range * sd_mulb
A bullish state triggers when price closes above the upper band. A bearish state triggers when price closes below the lower band. When price remains inside the bands, the previous regime is held.
3. Key Features
Median-based price filtering.
Gaussian-smoothed baseline.
Gaussian-weighted volatility deviation.
Adaptive upper and lower trend bands.
Separate upper and lower band multipliers.
State-based candle coloring, band coloring, glow effect, and directional fills.
4. Use
Median Gaussian Trend is designed to identify when price escapes its smoothed median-volatility structure. A close above the upper band reflects bullish expansion, while a close below the lower band reflects bearish expansion.
The median component helps reduce noisy price behavior, while the Gaussian smoothing and deviation engine create a more refined trend envelope. This makes the indicator useful for reading directional structure without relying on a raw moving average channel.
This indicator is best used as a specialized module within a complete strategy framework. Its role is to isolate a filtered volatility-trend layer of price behavior, where the real value comes from how the signal is integrated into a broader process for regime, timing, and execution.
Indicator
Volatility Halo | NAL1. Overview
Volatility Halo | NAL is an adaptive volatility band indicator built from a Zero-Lag EMA baseline, ATR band structure, and a recursive GARCH-style volatility regime multiplier.
The indicator does not use fixed-width bands. Instead, it starts with ATR-based bands and then adjusts their width using a projected volatility regime model. This allows the bands to respond differently when market volatility is expanding, contracting, or stabilizing.
2. Calculation
The indicator starts by calculating a Zero-Lag EMA baseline from the selected source. This baseline acts as the central trend reference, helping reduce lag compared to a standard EMA while still keeping the structure smooth.
float baseline = f_zlema(src, baseline_len)
float ATR_Value = ta.atr(ATR_Len)
The ATR value is then multiplied by the user-defined ATR multiple. This forms the base volatility distance used for the upper and lower bands.
The more advanced part of the indicator is the recursive GARCH-style regime multiplier. It begins by calculating log returns and converting them into shock variance. A long-run variance estimate is then built from recent shock variance.
GARCH_LogReturn = close > 0.0 and close > 0.0 ? math.log(close / close ) : 0.0
GARCH_ShockVariance = math.pow(GARCH_LogReturn, 2.0)
GARCH_LongRunVariance = ta.ema(GARCH_ShockVariance, GARCH_LongRunLen)
The model recursively updates conditional variance using three components: recent shock variance, long-run variance, and previous conditional variance. When adaptive coefficients are enabled, the script searches for coefficient weights that better fit recent variance behavior.
GARCH_ConditionalVariance :=
GARCH_Gamma * GARCH_LongRunVariance +
GARCH_Alpha * GARCH_ShockVariance +
GARCH_Beta * GARCH_PreviousConditionalVariance
The conditional variance is then projected and converted into a volatility estimate. This volatility is compared against its own regime baseline to create a volatility regime multiplier. The multiplier is clamped between a minimum and maximum value, preventing the bands from becoming too narrow or too wide.
GARCH_Volatility = math.sqrt(math.max(GARCH_ProjectedVariance, 0.0))
GARCH_RegimeMultiplierRaw = GARCH_Volatility / GARCH_RegimeBase
GARCH_RegimeMultiplier = f_clamp(GARCH_RegimeMultiplierSmooth, GARCH_MinMult, GARCH_MaxMult)
The final band width is created by combining ATR with the GARCH regime multiplier. The upper and lower bands are placed around the Zero-Lag EMA baseline.
hybridBandWidth = ATR_Value * ATR_Mult * GARCH_RegimeMultiplier
upperBand = baseline + hybridBandWidth
lowerBand = baseline - hybridBandWidth
A bullish state triggers when price closes above the upper band. A bearish state triggers when price closes below the lower band. When price remains inside the bands, the previous state is held.
3. Key Features
Zero-Lag EMA baseline for reduced-lag trend structure.
ATR-based volatility bands.
Recursive GARCH-style conditional variance model.
Adaptive volatility regime multiplier.
Bands expand or contract based on projected volatility conditions.
State-based candle coloring, band coloring, glow effect, and regime fills.
4. Use
Volatility Halo is designed to identify moments where price begins escaping its volatility-adjusted structure. A close above the upper band reflects bullish expansion, while a close below the lower band reflects bearish expansion.
The adaptive volatility engine allows the bands to shift with the underlying market environment, making the signal more responsive to changes in pressure and regime.
This indicator is best used as a specialized module within a complete strategy framework. Its real strength appears when it is combined with a broader process for reading market behavior, timing, and risk. The full edge comes from how the signal is integrated, not from the signal existing in isolation.
Indicator
Indicator
Technical 4x4 MatrixTechnical 4x4 Matrix:
Can Rethinking Common Sense Bring New Insights?
Description:
Does reviewing existing common sense bring new insights? The "Technical 4x4 Matrix" challenges the traditional way we view technical analysis. Instead of stacking endless line charts or reading boring data tables, this indicator reimagines 16 classic technical indicators (RSI, MACD, Bollinger Bands, etc.) by projecting them onto a unified, 4x4 analog meter interface directly on your chart.
By standardizing completely different mathematical models into a single visual language, we can uncover hidden confluences and macro alignments that isolated indicators often miss.
To make this matrix function, the script performs heavy data normalization and correlation calculations behind the scenes. Here is why these calculations are used and what they actually output:
1. Data Normalization Engine (The Analog Meters)
Why it's used: You cannot simply average an RSI (measured 0 to 100) with a MACD (absolute price differences). To create a unified "Average Flow," every indicator must be converted to a uniform scale.
The Calculation: The script uses a custom normalization formula:
Normalized Value = (Current Value - Min Value) / (Max Value - Min Value)
Actual Output Value: Regardless of the indicator's native scale, the output value for every single meter is strictly constrained between 0.0 (Absolute Cold/Oversold) and 1.0 (Absolute Hot/Overbought). For example, a neutral RSI of 50 outputs exactly 0.5.
2. Master HUD Crosshair (Macro Correlation)
Why it's used: To determine if the current micro price action is actually aligned with the macro trend, rather than just reacting to short-term noise.
The Calculation:
First, it creates a ratio: Macro Ratio = SMA(Close, 250) / SMA(Close, 1)
Next, it calculates the correlation between the closing price and this ratio over 20 periods, scaling it for the HUD's Y-Axis:
Y-Axis Ratio = (Correlation + 1.0) / 2.0
Actual Output Value: The raw correlation ranges from -1.0 to 1.0. After scaling, the final Y-Axis output is a coordinate between 0.0 and 1.0. The X-Axis is the simple average of all active 0.0 to 1.0 normalized indicators. If the crosshair intersects at (0.8, 0.8), it outputs a mathematically backed signal of strong macro and micro bullish alignment.
16 togglable indicators rendered as square analog meters with dynamic needle tracking and LED status lights.
Garbage Collection: Efficient array clearing prevents memory leaks and visual ghosting.
Master Crosshair: A central HUD that tracks the aggregated flow of all 16 indicators (X-axis) against macro-trend correlation (Y-axis).
Indicator
Tomukas Elite SMCTomukas Elite SMC is a premium Smart Money Concepts strategy designed to focus on high-probability institutional setups instead of frequent signals.
The strategy combines three core concepts into a single trading framework:
Liquidity Sweeps
Market Structure Shift (MSS/BOS)
Fair Value Gap (FVG) Retracement
Rather than chasing price, the strategy waits for liquidity to be taken, confirms a genuine shift in market structure, and enters only after price retraces into an imbalance. This approach aims to filter out low-quality trades and improve overall consistency.
Key Features
Non-repainting signals
Higher-timeframe trend confirmation
Liquidity sweep detection
MSS/BOS confirmation using candle closes
Automatic Fair Value Gap detection
Session filter (London & New York)
ATR volatility filter
Built-in risk management
Break-even automation after TP1
Runner management for extended trends
Strategy Tester compatible
The strategy is designed for traders who value patience and precision over constant market participation. By waiting for multiple confirmations to align, it seeks to reduce false entries while maintaining favorable risk-to-reward opportunities.
Best suited for: Gold (XAUUSD), major Forex pairs, and indices on lower timeframes such as 1M, 3M, and 5M.
As with any trading strategy, no setup guarantees profits. Proper risk management, disciplined execution, and thorough testing are essential before using it with live capital. Strategy
Indicator
Eugen Liquidity Compass - Helle Daily Macro Risk SignalsDer Eugen Liquiditäts-Kompass ist ein makrobasierter Liquiditäts- und Risikoindikator für Aktien, ETFs, Indizes, Kryptowährungen und andere Risikoassets.
Der Indikator analysiert zentrale Markt- und Liquiditätstreiber wie US Net Liquidity, DXY, reale US-Renditen, High-Yield-Spreads, NFCI, VIX/MOVE, USDJPY und einen frei wählbaren Benchmark wie SPY, QQQ oder BTC.
Ziel ist es, das übergeordnete Marktregime sichtbar zu machen:
Risk-On
Neutral
Risk-Off
Der Indikator berechnet einen Score von 0 bis 10:
8–10: Stark Risk-On
6–8: Risk-On
4–6: Neutral
2–4: Risk-Off
0–2: Stark Risk-Off
Die US Net Liquidity wird berechnet als:
Fed Balance Sheet - Treasury General Account - Reverse Repo
Der Indikator nutzt mehrere Impulse über 4, 8 und 13 Wochen, um kurzfristige und mittelfristige Liquiditätstrends zu erkennen.
Empfohlenes Timeframe:
Der Indikator ist primär für den Daily Chart entwickelt.
Beste Nutzung: 1D.
Auch möglich: Weekly für strategische Regimeanalyse.
Nicht empfohlen: Intraday-Scalping oder Minutencharts.
Signale:
STRONG LONG: sehr positives Risk-On-Umfeld
LONG: Long-Bias erlaubt
WEAK LONG: Long möglich, aber mit Makro-Gegenwind
EXIT: Risiko reduzieren
HARD EXIT: starkes Stresssignal
CARRY STRESS: mögliches USDJPY/Yen-Carry-Unwinding
Duration Stress:
Duration Stress bedeutet: DXY und reale US-Renditen sind gleichzeitig negativ für Risikoassets. Das ist besonders relevant für QQQ, Software, Halbleiter, Bitcoin, Krypto und hoch bewertete Wachstumsaktien.
Der Indikator ist kein reines Kauf-/Verkaufssystem, sondern ein Makro-Filter. Er sollte mit Chartanalyse, Risikomanagement und eigener Marktanalyse kombiniert werden.
Dieser Indikator dient nur zu Research- und Analysezwecken und stellt keine Anlageberatung, Kaufempfehlung oder Verkaufsempfehlung dar. Märkte können sich schnell verändern, und makroökonomische Daten können verzögert oder revidiert werden.
Dies ist keine Anlageberatung, sondern eine Research-Einschätzung auf Basis der verfügbaren Daten und Annahmen. Indicator
[ A L P H A X ] MAGNET - Liquidity Magnet EngineAlphaX MAGNET — Liquidity Magnet Engine: Hybrid Pool Detection, Sweep State Machine, Delayed Reclaim Entries, Absorption Pins, FVG Confluence & Weighted Scoring System
AlphaX MAGNET is a professional-grade liquidity-based trading system built around a single foundational observation: price is magnetically attracted to liquidity pools. Buy-side liquidity sitting above Equal Highs and sell-side liquidity sitting below Equal Lows are not random price levels — they are concentrations of institutional stop orders and pending market orders that price is consistently drawn toward before major directional moves begin. MAGNET detects these pools with a dual-method engine (pivot cluster analysis combined with Equal High/Equal Low range scanning), tracks every sweep event through a dedicated state machine, and fires precision entries through four distinct setup types — same-bar sweep and reclaim, delayed post-sweep reclaim, absorption pin bar, and FVG-liquidity overlap — scored through a weighted 9-point confluence system that rewards quality setup combinations over arbitrary filter accumulation. Unlike systems that suppress signals through cascading hard blocks, MAGNET is built on the philosophy that quality comes from the combination of setup type and confluence score, not from eliminating signal opportunities through excessive gating. Designed for active traders across crypto, forex, gold, and indices on any timeframe.
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💧 The Liquidity Pool Concept — Why Price Is Magnetic
Retail traders place stop losses at technically logical locations — just below swing lows (buy stops become sell orders when triggered, providing sell-side liquidity or SSL) and just above swing highs (sell stops become buy orders when triggered, providing buy-side liquidity or BSL). These clusters are not secrets. Institutional participants, who need massive liquidity to fill their position sizes, deliberately engineer price moves toward these clusters — hunting the stops to generate the counterparty order flow they need.
This creates a recurring, exploitable pattern:
SSL pools below significant lows are swept — price dips below to trigger sell stops, filling institutional buy orders
The sweep reverses sharply as the institutional position is filled and price moves in the intended direction
BSL pools above significant highs are swept — price spikes above to trigger buy stops, filling institutional sell orders
The spike reverses as the selling position is filled
MAGNET is built to detect these pools before the sweep, identify the sweep the moment it occurs, and provide structured entry signals at the precise points where the institutional reversal is most likely to begin. The word "magnet" captures the system's core thesis: liquidity pools are not just price levels to avoid — they are targets that price is attracted to, and the moment after the sweep is the highest-probability institutional entry available.
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🔍 The Hybrid Pool Detection Engine
MAGNET identifies liquidity pools using two independent methods running simultaneously, then combines their outputs to determine the single most relevant BSL and SSL level at any moment.
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Method 1 — Pivot Cluster Analysis
The first engine detects fractal swing highs and lows using a configurable pivot length (default: 5 bars each side) and tracks clusters of pivots near the same price level. Rather than marking every single pivot as a liquidity level, MAGNET uses a weighted averaging approach:
When a new pivot forms near an existing pivot level (within 1.5× the ATR pool tolerance), the two pivots are merged — the new cluster level is the weighted average of both, and the touch count increments. When a new pivot forms far from the existing cluster, a new level is established.
A pivot cluster only becomes an active liquidity pool when its touch count meets the minimum threshold (default: 2 pivot touches) and its age exceeds the minimum pool age (default: 3 bars). These two conditions ensure the pool represents genuine accumulated stop orders rather than a single swing point that may not yet have attracted meaningful liquidity.
Why pivot clustering matters: A level touched twice or more has drawn retail traders to place stops at it on multiple occasions. Each time price revisits without breaking, more stops accumulate just beyond it. The cluster represents not a single trader's stop but a compounding concentration of stop orders — the largest and most powerful liquidity pools in the market.
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Method 2 — Equal High / Equal Low (EQH/EQL) Range Scanning
The second engine scans the entire lookback window (default: 40 bars) to find the highest high and lowest low in the range, then counts how many bars within that window came within the ATR pool tolerance of those extremes. When the touch count meets the minimum EQ touch threshold (default: 2 touches), the extreme qualifies as a genuine Equal High (BSL pool) or Equal Low (SSL pool).
Why EQH/EQL scanning is powerful: The highest level in a range with multiple near-touches is the quintessential Equal Highs pattern — the most widely recognized institutional liquidity target in smart money trading. Every time price approaches but fails to break through the level, another wave of retail traders places buy stops above it "in case it breaks." The more touches, the denser the liquidity cluster above. The EQL range scan identifies these levels objectively and in real time without requiring manual identification.
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Pool Selection Logic
From both methods, MAGNET selects the single most relevant active BSL and SSL level at any moment. When both methods have identified a valid pool of the same type, the closer one to the current price is selected — the near-term liquidity target takes precedence over a more distant one. The active pools are displayed on the dashboard as exact prices and plotted as dashed lines extending forward on the chart.
Magnet Above / Magnet Below: The active BSL (if above current price) is displayed as MAGNET ABOVE — the level price is currently being drawn toward on the upside. The active SSL (if below price) is MAGNET BELOW — the downside liquidity target. These two levels are also used as the take-profit targets when TP at Opposing Magnet is enabled, with the opposing pool being the natural delivery target after a sweep reversal.
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⚡ The Sweep State Machine — Separating Sweeps from Entries
One of MAGNET's most important architectural decisions is the separation of the sweep detection from the entry signal. Many liquidity-based systems fire entries on the sweep bar itself — which frequently catches false sweeps, wicks that briefly cross the pool but are part of a larger continuation move, and cascade waterfall bars that are not genuine reversals.
MAGNET uses a dedicated sweep state machine that tracks every sweep event independently from the entry logic:
Sweep detection:
An SSL sweep is detected when the current bar's low extends below the active SSL pool by more than the minimum sweep depth (default: 0.10× ATR). A BSL sweep is detected when the high extends above the active BSL by more than the minimum depth. Both are registered in memory with the bar index and the exact pool level that was swept.
Sweep window tracking:
After a sweep is registered, the system tracks how many bars have elapsed since the sweep. The configurable reclaim window (default: 8 bars) defines how long a sweep remains "fresh" for delayed reclaim entry qualification. The dashboard's SWEEP WINDOW row displays the active sweep state in real time — "SSL 2b ago" means an SSL sweep occurred 2 bars ago and the reclaim window is still open.
Cascade block (same-bar only):
A "cascade" bar is a strong, large-body continuation bar in the trend direction — close below open, body above 0.45× ATR, closing below the structure EMA and 50 EMA (bear cascade). When a sweep coincides with a cascade bar on the same bar , the same-bar sweep entry (Setup A) is blocked — entering against a waterfall candle in the same bar is the highest-risk stop-hunt entry scenario. Critically, this block only applies to same-bar entries — the cascade does not prevent the delayed reclaim entries (Setup B) that fire on subsequent bars once the cascade has resolved.
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🏷 Four Setup Types — Quality Through Combination
MAGNET's philosophy explicitly rejects quality-through-suppression. Rather than applying increasingly aggressive filters that block more and more signals, MAGNET provides four distinct setup types of varying quality, grades them A or B, scores them through the weighted confluence engine, and lets the score threshold determine which signals reach the chart. Each setup type captures a different institutional entry scenario.
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Setup A — SSL/BSL Sweep + Same-Bar Reclaim (Grade A, Primary)
The highest-conviction single-bar pattern. Fires when the sweep and the reclaim occur within the same bar — the classic stop-hunt candle.
Long conditions (SSL sweep + reclaim):
Current bar's low extends below the active SSL pool by more than the minimum sweep depth
The bar closes back above the SSL pool — the sweep was rejected within the same candle
A qualifying bull trigger candle is present — close above open, body at least 0.22× ATR, and the close-to-low distance exceeds 50% of total range (strong rejection wick)
The bar is not a cascade/waterfall bar — the same-bar cascade block applies
The institutional sequence: Price spikes below the SSL, triggering retail sell stops and filling institutional buy orders. Buyers immediately overwhelm the sell-stop flow and drive price back above the level within the same bar. This same-bar recovery is the clearest possible sign of genuine institutional absorption — they bought the stop-triggered selling and bid price back up in a single candle.
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Setup B — Delayed SSL/BSL Reclaim (Grade A, Primary)
The most powerful setup type for catching genuine post-sweep reversals. Fires in the 1 to N bars following a sweep event — capturing entries that miss the same-bar candle.
Long conditions (delayed SSL reclaim):
A qualifying SSL sweep occurred within the reclaim window (1 to 8 bars ago — the current bar is not the sweep bar)
The current bar's low is within ATR tolerance of the swept SSL level — price has returned to test the swept level
The current bar closes above the swept level — reclaiming it from below
A qualifying bull trigger candle confirms the reclaim with body and wick requirements
Why delayed reclaim is the highest-quality setup: Many genuine institutional sweep-and-reversal sequences do not complete in a single bar. After the sweep candle, price may consolidate below the swept level for 1–3 bars as retail traders interpret the sweep as a genuine breakdown and add to short positions. This consolidation below the swept level creates the highest-quality delayed reclaim entry — buying precisely as the "trapped shorts" below the swept level begin to be squeezed on the reclaim. Entries here have the swept level as a natural structural reference for the stop, the opposing BSL pool as a natural target, and the maximum available momentum from both the original sweep exhaustion and the trapped short squeeze.
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Setup C — SSL/BSL Absorption Pin (Grade B, Secondary)
A volume-confirmed pin bar at the pool zone — institutional absorption without a full sweep event.
Long conditions (SSL absorption):
Price is at or near the active SSL zone (within ATR pool tolerance)
A pin bar forms — lower wick exceeds 42% of the bar range, body is less than 38% of range, bar closes bullish
Volume is spiking above the configured volume threshold (default: 1.05× average) — confirming institutional activity at the zone
The bar closes above the SSL level — the absorption is from the buy side
The absorption scenario: Not every institutional accumulation at a liquidity pool involves a dramatic sweep. Sometimes institutions absorb all available sell-side liquidity at the SSL boundary without price needing to fully breach the level — the large volume at the pin bar low represents the same buying activity, just without the stop-triggering violation. The combination of the pin bar rejection shape and the volume spike at the zone is the visual and volumetric evidence of this absorption.
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Setup D — FVG + SSL/BSL Magnet Confluence (Grade B, Secondary)
The institutional structure overlap entry — a Fair Value Gap forming directly at the liquidity pool level.
Long conditions (FVG + SSL magnet):
A bullish Fair Value Gap is present on the current bar — the current bar's low is above the high of the bar two bars ago, creating a gap in the price structure
The FVG zone (between the current bar's low and the two-bars-ago high) overlaps with the active SSL pool level within ATR tolerance
A qualifying bull trigger candle confirms
The FVG-liquidity overlap concept: When a bullish FVG coincides with an SSL pool level, two independent institutional frameworks are pointing to the same price zone simultaneously. The FVG represents an imbalance in order flow that price will fill. The SSL pool represents a liquidity concentration that price is magnetically drawn toward. When they overlap at the same level, the zone has double-layer institutional significance — it is both an unfilled order imbalance and a liquidity pool, making it the highest-value structural level available at that moment.
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📊 Weighted Confluence Scoring — Quality Through Combination
MAGNET uses a weighted scoring system where primary setups (A and B — sweep and reclaim) count for 2 points while secondary setups (C and D — absorption and FVG) count for 1 point. The remaining 7 points come from confluence quality layers. The default minimum threshold is 5 points.
Score structure (maximum: 9 points):
Setup Type (2 points for primary, 1 for secondary) — the foundational quality weighting. A sweep or delayed reclaim inherently carries more institutional evidence than an absorption or FVG overlap
Active Pool Valid (1 point) — the SSL (for bull) or BSL (for bear) pool is currently active and qualified. Signals without a valid pool cannot score this point — there is no institutional liquidity reference without a qualified pool
HTF Bias Alignment (1 point) — the higher timeframe EMA structure agrees with the signal direction. Unlike most AlphaX systems where HTF is a hard block, MAGNET treats HTF as a soft confluence layer — counter-HTF trades can still fire if other confluence is sufficient. This reflects the reality that sweep-and-reclaim sequences frequently work counter-HTF precisely because institutions are sweeping retail positions that were trading with the HTF trend
Volume Layer (1 point) — current bar volume meets or exceeds the volume spike threshold. Confirms institutional participation on the signal bar
Structural Bias (1 point) — price is above the Structure EMA or RSI is above 45 for longs (close > structure EMA or RSI > 45); price below EMA or RSI < 55 for shorts. This dual condition accepts both trend-aligned and momentum-recovering entries
RSI Exhaustion (1 point) — RSI below 38 for longs with a recent SSL sweep, or RSI above 62 for shorts with a recent BSL sweep. This bonus point rewards entries where the RSI is genuinely oversold or overbought at the sweep level — the classic exhaustion reversal condition that historically produces the sharpest recoveries
Non-Chop Market (1 point) — Choppiness Index below the configured threshold (default: 65). Also enforced as a hard gate — unlike the HTF, extreme chop does block all signals regardless of score
At Pool Zone (1 point) — the current bar is within the pool tolerance of the active SSL (bull) or BSL (bear) zone. Rewards entries that are precisely positioned at the institutional level
Score examples:
A primary sweep reclaim (2 points) with valid pool, HTF alignment, volume, structural bias, and non-chop market reaches 7/9 — a high-conviction signal. A secondary FVG entry (1 point) with valid pool, volume, structural bias, and non-chop but no HTF alignment reaches 5/9 — the minimum threshold. The scoring naturally produces a gradient of signal quality without hard-blocking any combination.
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🎯 Magnet-Anchored Stop Loss and Target
Stop Loss Placement:
For bull signals, the stop is placed at the minimum of the current bar's low and the swept SSL level (using the stored sweep level from the state machine when a sweep occurred), minus the configured ATR buffer (default: 1.0× ATR). For bear signals, the maximum of the bar's high and the swept BSL level plus the ATR buffer.
This produces stops anchored to the structural invalidation point — the level that proves the institutional thesis wrong. A bull stop below the swept SSL means: if price closes below the sweep level after the reclaim, the sweep thesis has failed and institutions are not actually buying at this level.
Take Profit — Opposing Magnet (default: on):
When TP at Opposing Magnet is enabled, the take profit target is automatically set to the opposing liquidity pool — the BSL pool above price for long entries, the SSL pool below for shorts. This is the single most powerful TP mechanic available for liquidity-based trading: after a sweep of the SSL, the natural delivery target is the opposing BSL pool, because institutions who bought the SSL sweep will deliver price toward the next concentration of liquidity above. The magnet-to-magnet target represents the true institutional delivery destination.
When no opposing magnet is available (pool not yet qualified), the fallback is a configurable R-multiple target (default: 2.5R).
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📊 Live Dashboard
The 17-row real-time dashboard displays the complete internal state across five sections.
LIQUIDITY
BSL (EQH) — the active buy-side liquidity pool price. The current institutional overhead target. Red dashed line on chart with BSL · EQH label
SSL (EQL) — the active sell-side liquidity pool price. The current institutional downside target. Yellow-green dashed line with SSL · EQL label
Magnet Above — the BSL pool when it is above current price — the upside delivery target
Magnet Below — the SSL pool when below current price — the downside delivery target
SWEEP STATE
Sweep Window — live sweep state: "SSL 2b ago" when within the reclaim window, "BSL 3b ago" for BSL sweeps, or — IDLE when no recent sweep is active. This is the critical pre-signal awareness row — when it shows an active sweep state, Setup B entries are monitoring for the reclaim
SETUPS
Long Setup — the currently active long setup type: SWEEP, RECLAIM, ABSORB, FVG, or — when none is active
Short Setup — the currently active short setup type
FILTERS
HTF Bias — ▲ BULL, ▼ BEAR, or — FLAT. Soft confluence layer for scoring
Chop Index — live Choppiness Index value. Orange when above the block threshold — the only hard filter in MAGNET
CONFLUENCE
Bull / Bear — live scores displayed as "x / y" with a ▲ or ▼ arrow when either score meets the minimum threshold
Playbook — the current actionable state: LONG A, SHORT A, LONG B, SHORT B when a signal just fired; WATCH RECLAIM ▲ or ▼ during active sweep windows; WATCH MAGNETS when pools are defined but no active sweep
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📈 Chart Visual System
BSL Pool Line (red dashed) — the active buy-side liquidity level with "BSL · EQH" label extending to the right. Redrawn on the last bar to reflect the current pool state
SSL Pool Line (yellow-green dashed) — the active sell-side liquidity level with "SSL · EQL" label
▲ Large Triangle (below bar, yellow-green) — Grade A long signal. SSL sweep or delayed reclaim with qualifying confluence
▲ Small Triangle (below bar, dim yellow-green) — Grade B long signal. Absorption pin or FVG magnet setup
▼ Large Triangle (above bar, red) — Grade A short signal
▼ Small Triangle (above bar, dim red) — Grade B short signal
● Sweep Circles (optional, orange) — appear above (BSL sweep) or below (SSL sweep) the bar when a sweep event is detected. Off by default — sweeps are tracked internally regardless of marker visibility
SL Guide (red dotted circles) — sweep-anchored stop loss below or above the pool level
TP Guide (yellow-green dotted circles) — opposing magnet target or R-multiple fallback
Live confluence label — B x · S x near the current price on the last bar, updating in real time
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🚀 How to Trade with AlphaX MAGNET — Step by Step
Step 1 — Read the Liquidity Map
Check the dashboard BSL and SSL rows. These are the current institutional targets — price will be drawn toward both levels over time. Note which is closer to current price
Check Magnet Above and Magnet Below. These are your directional delivery destinations. If SSL is below and BSL is above, the market is sandwiched between two magnets — the next major move will likely target one of them
Note the Chop Index. When it is approaching or above the threshold (65), the liquidity pool targets lose reliability — pools become harder to reach when the market is oscillating without direction
Step 2 — Monitor the Sweep Window
The Sweep Window row is the most critical pre-signal dashboard row. "SSL 1b ago" means an SSL sweep just occurred one bar ago and the reclaim window is wide open — Setup B is actively scanning the next bars for a qualifying reclaim candle
WATCH RECLAIM ▲ in the Playbook row is the highest-priority alert state. Prepare your entry parameters immediately — the delayed reclaim may fire on the very next qualifying bar
Watch the chart for the reclaim candle forming at or above the swept SSL level with a bullish rejection body
Step 3 — Enter on the MAGNET Signal
A large ▲ triangle (Grade A) confirms a sweep or delayed reclaim with qualifying confluence. This is the primary MAGNET entry
A small ▲ triangle (Grade B) confirms an absorption or FVG setup. Valid entry with slightly lower setup-type evidence — manage with smaller size if preferred
The SL guide is plotted below the swept level plus ATR buffer. Your structural invalidation
The TP guide points to the opposing BSL magnet when available — the institutional delivery target. When this lines up with the opposing pool, you have a magnet-to-magnet trade with a clear institutional narrative
Step 4 — Manage the Trade
Monitor the Sweep Window — if a new sweep of the opposing pool occurs while you are in a trade, it may be a signal that the delivery is completing or extending
When price approaches the MAGNET ABOVE level (for long trades), consider taking partial profit — the opposing pool is the target but also potential new resistance
If a new valid sweep of your entry SSL occurs in the opposite direction during the trade, this could indicate the SSL was not the final sweep — reassess the position
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⚠ Identifying Low-Quality Conditions — When Not to Trade
Stand aside when:
Chop Index above threshold — this is the only hard filter in MAGNET. All signals are blocked. More importantly, in extreme chop, liquidity pools are being tested repeatedly without producing clean sweeps and reversals — the institutional dynamic is absent
BSL and SSL are very close to each other — when the two magnets are tightly compressed around current price, the market is ranging within a narrow liquidity cluster. Sweeps in this environment frequently continue through multiple levels rather than reversing at the first pool
Sweep Window shows IDLE for an extended period — no sweeps means no primary setup type is available. Only absorption and FVG setups (Grade B) can fire. If you prefer primary setups only, wait for a sweep to register
HTF Bias strongly opposes the signal — while HTF is a soft confluence layer in MAGNET, a strongly opposing HTF reduces the score by 1 point. In these conditions, a Grade B signal at the minimum threshold becomes marginal — consider requiring a higher score for counter-HTF entries
Grade B signals with minimum score (5/9) in a non-trending market — absorption pins and FVG overlaps require more supporting confluence to be reliable in Balance or transitional markets. When Grade B fires at exactly the minimum score without HTF support, reduce size or skip
Multiple consecutive sweeps of the same level without recovery — when price sweeps the SSL three times in succession, each time recovering only partially before sweeping again, the level is being absorbed in stages by a larger institutional seller rather than being swept for a reversal. Do not continue entering on each successive sweep
The ideal MAGNET setup:
Clear, well-aged SSL or BSL pool with multiple touches (3+ pivots or EQ touches)
Clean, decisive sweep below SSL with a single strong bar
1–3 bar consolidation below the swept level (confirming trapped shorts)
Delayed reclaim candle forming at the swept level with bull trigger confirmation
RSI below 38 at the sweep low (exhaustion bonus point)
Volume spike on the reclaim bar
HTF aligned bullish
Opposing BSL pool clearly defined above — the magnet-to-magnet trade
Score at 8–9/9
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⚡ Key Features
💧 Hybrid dual-method pool detection — pivot cluster analysis (weighted average clustering with touch count and age requirements) combined with Equal High/Equal Low range scanning (touch count across lookback window)
🎯 Active pool selection logic — nearest qualified pool to current price is selected as the active target, ensuring the most immediately relevant liquidity level is always the reference
⚡ Dedicated sweep state machine — sweeps are detected and stored independently from entry logic, enabling delayed reclaim entries 1–8 bars after the sweep event with full state persistence
🛡 Cascade block (same-bar only) — waterfall continuation bars are blocked from triggering same-bar sweep entries while preserving all delayed reclaim opportunities
🏷 Four setup types with grade classification — Setup A (same-bar sweep reclaim), Setup B (delayed reclaim), Setup C (absorption pin), Setup D (FVG liquidity overlap), each graded A or B by primary/secondary classification
📊 Weighted confluence scoring — primary setups count 2 points, secondary count 1, with 7 additional quality layers scoring independently. Quality through combination, not suppression
🔴 RSI exhaustion bonus — extra confluence point when RSI is genuinely exhausted at the sweep level, rewarding the highest-quality reversal conditions
📡 HTF bias as soft layer — higher timeframe alignment adds to the score but does not hard-block counter-HTF entries, reflecting the institutional reality that sweep reversals frequently work counter to the prevailing HTF trend
🎯 Opposing magnet TP system — take profit automatically targets the opposing liquidity pool when available, providing an institutionally justified delivery destination rather than an arbitrary ATR multiple
📍 Sweep-anchored SL placement — stop loss anchored to the swept pool level plus buffer, not an arbitrary ATR distance from entry
💹 Live Sweep Window tracking — dashboard shows active sweep state with bars elapsed since sweep, providing pre-signal awareness before the delayed reclaim fires
📊 Live Playbook row — displays WATCH RECLAIM ▲/▼ during active sweep windows, preparing you for the imminent Setup B signal
📊 17-row live dashboard — Liquidity, Sweep State, Setups, Filters, and Confluence sections updated in real time
🔔 4 alert conditions — long/short entries and SSL/BSL sweep events
🎨 Fully cohesive dual-tone color system — yellow-green for SSL/SSL-related bull elements, red for BSL/BSL-related bear elements, orange for sweep markers and alerts
⚙ Fully configurable — pivot length, EQH/EQL lookback, pool tolerance, touch minimums, pool age, sweep depth, reclaim window, signal body minimum, all four setup enables, confluence minimum, HTF timeframe and EMAs, chop threshold, volume filter, session, SL buffer, TP mode and R-multiple, and all colors are independently adjustable
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⚙ Settings Reference
Liquidity Pool Engine
Pivot Length — fractal sensitivity for pivot high/low detection (default: 5 bars each side)
EQH/EQL Scan Lookback — bars used for the Equal High/Equal Low range scan (default: 40)
Pool Tolerance (xATR) — ATR multiple defining the zone width around a pool level (default: 0.14)
Min Pivot Touches — minimum pivot cluster touches for a pivot pool to qualify (default: 2)
Min EQ Touches — minimum near-touches for an EQH/EQL level to qualify (default: 2)
Min Pool Age (bars) — minimum bars since first pivot detection before the pool is active (default: 3)
ATR Length — ATR calculation lookback (default: 14)
Sweep & Reclaim
Min Sweep Depth (xATR) — minimum extension beyond the pool for a sweep to register (default: 0.10)
Reclaim Window (bars after sweep) — how many bars after a sweep a delayed reclaim can fire (default: 8)
Min Signal Body (xATR) — minimum candle body size for all entry triggers (default: 0.22)
Show Sweep Markers — toggle optional orange circle markers at sweep detection bars (default: off)
Entry Setups
A · SSL Sweep + Reclaim / A · BSL Sweep + Reclaim — toggle same-bar sweep entries
B · Delayed SSL Reclaim / B · Delayed BSL Reclaim — toggle delayed reclaim entries
C · SSL Absorption Pin / C · BSL Absorption Pin — toggle absorption pin bar entries
D · FVG + SSL Magnet / D · FVG + BSL Magnet — toggle FVG-liquidity overlap entries
Min Confluence Score — minimum weighted score required for a signal (default: 5)
Show Entry Signals — toggle signal triangles
Show Confluence Label — toggle the live B/S score label near the current price
Signal Cooldown (bars) — minimum bars between consecutive signals (default: 5)
Grade Signals (A / B) — when on, primary setups show as large triangles, secondary as small triangles
Filters
HTF Bias Layer — adds 1 confluence point when HTF agrees (does not hard-block counter-trend)
HTF Timeframe / HTF Fast / Slow EMA — higher timeframe parameters (defaults: 60-minute / 21 / 55)
Block Extreme Chop — when on, Choppiness Index above threshold blocks all signals (the only hard filter)
Choppiness Length / Chop Block Above — CI parameters (defaults: 14 / 65.0)
Volume Layer — adds 1 confluence point when volume exceeds threshold
Volume Spike Threshold / Volume Avg Length — volume parameters (defaults: 1.05 / 20)
Session Filter / Active Session — trading hours restriction (default: off)
Structure EMA — EMA used for the structural bias confluence layer (default: 21)
Exit Guidance
Show SL / TP Guides — toggle stop and target dotted circle plots
SL Beyond Sweep (xATR) — ATR buffer beyond the swept pool level for stop placement (default: 1.0)
TP at Opposing Magnet — when on, TP targets the opposing active liquidity pool (default: on)
TP Reward (R) if no magnet — fallback R-multiple target when no opposing pool is available (default: 2.5)
Display
Show Liquidity Pool Lines — toggle BSL and SSL dashed reference lines
Show Dashboard — toggle the full dashboard
Dashboard Position — Top Left / Top Right / Bottom Left / Bottom Right
Colors
Bull / Bull Bright — yellow-green family for all bullish signals and SSL elements
Bear / Bear Bright — red family for all bearish signals and BSL elements
Sweep / Alert — orange for sweep markers and active alert states
BSL Pool (EQH) / SSL Pool (EQL) — individual pool line colors
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 (4 total)
Entry Alerts
Magnet Long — all conditions confirmed. Long signal fired across any qualifying setup type
Magnet Short — all conditions confirmed. Short signal fired
Sweep Alerts
Magnet SSL Swept — sell-side liquidity pool has been swept. Watch for reclaim within the configured window — Setup B is now monitoring
Magnet BSL Swept — buy-side liquidity pool has been swept. Watch for reclaim — Setup B monitoring active
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–M15 :
Pivot Length at 5 — standard fractal sensitivity for intraday instruments. Captures meaningful swing points without over-sensitivity to micro-noise
EQL Lookback at 40 — approximately 3–4 hours on M5, covering the relevant intraday Equal High/Low structure
Pool Tolerance at 0.14× ATR — tight enough to require genuine proximity to the pool level without missing valid touches due to spread variation
Reclaim Window at 8 bars — on M5 this is 40 minutes, sufficient to capture post-sweep consolidation and delayed reversal entries
HTF at 60-minute as soft layer — adds score for alignment without blocking the counter-HTF sweeps that are often the most powerful entries
For other instruments or timeframes, adjust:
M1–M3 scalping — reduce Pivot Length to 3, reduce Pool Tolerance to 0.10, reduce Reclaim Window to 4–5 bars, reduce Cooldown to 3, increase Min Sweep Depth to 0.15 for tighter scalp sweeps
H1–H4 swing trading — increase EQL Lookback to 80–100, increase Pivot Length to 7–8, increase Reclaim Window to 12–15, increase TP Reward to 3.5–5.0R for wider swing targets
Crypto (BTC, ETH) — increase Pool Tolerance to 0.18–0.22 for the wider tick structure, increase Min Sweep Depth to 0.15–0.20, increase Chop Block to 68–70 for crypto's naturally higher choppiness
Indices (NAS100, US30) — use session filter for cash market hours, increase Pool Tolerance slightly to 0.16, consider reducing EQL Lookback to 25–30 for the shorter-lived Equal High/Low structures in index futures
More primary setups (A and B) — reduce Reclaim Window minimum expectation by ensuring both Setup A and B are enabled, and watch the Sweep Window row actively rather than waiting for signals
Grade A signals only — disable Setup C (absorption) and Setup D (FVG), raise Min Confluence to 6. Only sweep and delayed reclaim entries with strong supporting factors will fire
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👥 Who This Is For
💧 Liquidity sweep traders and stop-hunt entry specialists — MAGNET is the most complete and technically sophisticated liquidity sweep system in the AlphaX suite. Every component — pool detection, sweep state machine, cascade blocking, delayed reclaim, magnet TP — is designed specifically for the institutional stop-hunt-and-reverse pattern
🏦 Smart money concepts and ICT methodology traders — the SSL/BSL, EQH/EQL, and sweep-reclaim framework directly implements the core ICT liquidity concepts with quantitative precision
🥇 Gold (XAUUSD) and forex traders — liquidity sweeps are most consistent and most powerful on institutional instruments where market makers actively hunt stops. Default settings are calibrated for gold intraday
🎯 Traders who want the highest-quality post-sweep entries — the delayed reclaim (Setup B) is the system's most powerful setup type and is specifically designed for traders who have experienced the frustration of missing same-bar sweep reversals only to watch price surge without them
🧠 Systematic traders who want quantified liquidity analysis — the hybrid pool detection, weighted scoring, and sweep state machine replace entirely subjective liquidity level identification with objective, repeatable criteria
📈 Traders who struggle with stop placement on liquidity entries — the sweep-anchored stop placement and opposing magnet TP provide the most structurally appropriate risk parameters available for liquidity-based trading
⚠ Traders who have been stopped out by cascading waterfall bars — the cascade block on same-bar entries and the delayed reclaim system together prevent the most common failure mode of liquidity trading: entering during a genuine continuation move rather than a reversal
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📝 Notes
All signals are confirmed on bar close — the indicator is non-repainting by design. Pool states, sweep state machine, setup conditions, and confluence scoring all finalize on confirmed bars only
The pivot cluster averaging system means that as new pivots near the same level form, the pool level gradually adjusts toward the weighted average. This means the active pool level may shift slightly over time as new evidence accumulates — this is intentional and produces more accurate pool level estimates than using only the first or last pivot
The cascade block applies only to the same-bar sweep entry (Setup A). Delayed reclaim entries (Setup B) are never blocked by cascade conditions — this is by design, as the cascade's resolution in subsequent bars is precisely the entry condition for Setup B
The delayed reclaim window starts from 1 bar after the sweep (barsSinceSslSweep >= 1). Same-bar reclaims are handled exclusively by Setup A. There is no overlap between the two setup types
When useMagnetTp is on and no opposing magnet is currently active (the opposing pool has not qualified or has been swept/invalidated), the system falls back automatically to the R-multiple TP without any gap in functionality
The Choppiness Index is the only hard filter in MAGNET. All other filters (HTF, volume, structural bias) are soft confluence layers that add or do not add to the score. This reflects the intentional philosophy that quality through combination is superior to quality through suppression
Maximum 500 labels and 500 lines are rendered. Pool lines are redrawn on the last bar, so they do not accumulate over history
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 understand that price does not move randomly — it moves with purpose, toward the liquidity that institutions need, and away from it once that liquidity has been consumed. Indicator
Indicator
Indicator
SMT Sniper Entry Engine [trade_w_samet]🎯 SMT Sniper Entry Engine
SMT Sniper Entry Engine is a structured correlated-market divergence and confirmation indicator designed to help traders study liquidity sweeps, SMT divergence, reclaim quality, pair correlation, external-range location, displacement, Fair Value Gap evidence, micro-structure confirmation, and permanent bar-close UP or DOWN signals through one coordinated workflow.
The script is built around one central idea:
An SMT divergence should not automatically become an entry signal.
Instead of treating every difference between two correlated markets as equally meaningful, the engine first identifies a one-market liquidity sweep, then evaluates reclaim behavior, ATR-normalized sweep depth, candle direction, rejection quality, range expansion, pair correlation, external-range location, and divergence separation before the SMT event is accepted.
A qualified SMT event still does not create an immediate final signal.
The accepted SMT event arms a temporary confirmation sequence.
The engine then waits for directional displacement, a confirmed break of the SMT candle, and the additional evidence required by the active Engine Preset before a permanent UP or DOWN label is printed.
The indicator includes:
• Automatic comparison-symbol selection for supported metals, indices, cryptocurrencies, forex majors, and common forex crosses
• Manual comparison-symbol mode
• Same-timeframe comparison-market data
• Closed-bar rolling liquidity references
• Current-bar-close SMT divergence detection
• Either-market sweep acceptance
• Same-bar liquidity reclaim validation
• ATR-normalized sweep-depth measurement
• Chart-candle direction filtering
• Rejection-close filtering
• Minimum range-expansion filtering
• Separate bullish and bearish 0–100 Base Quality Scores
• Log-return pair-correlation analysis
• External-range location filtering
• ATR-normalized divergence-separation analysis
• Separate bullish and bearish 0–100 Sniper Scores
• Standard, Sniper, and Elite Engine Presets
• A temporary eight-bar confirmation window
• Sequential evidence accumulation across separate closed candles
• Directional displacement confirmation
• SMT-candle break confirmation
• Fair Value Gap confirmation
• Micro-structure break confirmation
• ATR-buffered setup invalidation
• Setup expiration
• Directional SMT cooldown
• Final signal cooldown
• One final UP or DOWN signal per completed SMT sequence
• Minimal historical SMT markers
• Dotted historical SMT reference lines
• Blue UP and orange DOWN labels
• Adjustable UP / DOWN label size
• Signal-confirming FVG boxes
• Recent-only chart-object
• A premium bottom-right dashboard
• Static PulseWire alert conditions
• Combined dynamic alert() support
• “Any alert() function call” compatibility
• Data Window diagnostics
• Confirmed-close permanent signals
• No pivot functions
• No future-bar confirmation
• No historical signal backplotting
The purpose of this script is to provide a structured way to study when a correlated-market divergence is supported by sufficient liquidity, correlation, location, reaction, and confirmation evidence.
It is not financial advice.
It is not an automated trading system.
It does not guarantee profitable trades.
It does not execute broker orders.
It does not calculate position size.
It does not include a built-in TP / SL trade-management engine.
It does not provide verified win-rate or profitability statistics.
It does not replace independent analysis, execution planning, or risk management.
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📌 OVERVIEW
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At a high level, SMT Sniper Entry Engine does the following:
• Selects a comparison market automatically or manually.
• Requests the comparison market’s open, high, low, close, and ATR data on the chart timeframe.
• Builds rolling liquidity references from already completed candles.
• Checks whether only one market swept its corresponding liquidity reference.
• Requires the sweeping market to reclaim the reference on the same completed candle.
• Measures sweep depth relative to ATR.
• Evaluates chart-candle direction.
• Evaluates the candle’s closing position.
• Evaluates minimum range expansion relative to ATR.
• Produces separate bullish and bearish 0–100 Base Quality Scores.
• Measures the relationship between chart and comparison-market returns.
• Evaluates whether bullish SMT appears near the lower portion of the external range.
• Evaluates whether bearish SMT appears near the upper portion of the external range.
• Measures how clearly the non-sweeping market held its own liquidity reference.
• Produces separate bullish and bearish 0–100 Sniper Scores.
• Applies Standard, Sniper, or Elite acceptance thresholds.
• Confirms a qualified SMT event only after the current candle closes.
• Arms a temporary sequential confirmation window.
• Accumulates displacement, SMT-candle break, FVG, and structure evidence.
• Invalidates the setup if price closes beyond the SMT extreme by the stored ATR buffer.
• Expires the setup when confirmation does not arrive inside the available window.
• Applies final signal cooldown protection.
• Prints a permanent blue UP or orange DOWN label only after every required condition is confirmed.
• Optionally draws the FVG associated with the final signal.
• Displays current engine state, comparison symbol, correlation, active score, and signal counts in the dashboard.
• Provides separate static alert conditions.
• Provides one combined dynamic final-signal alert workflow.
• Exposes internal diagnostic values through PulseWire’s Data Window.
The indicator does not use machine-learning prediction.
Its scores are not probabilities.
Its signal counts are not wins and losses.
Its labels do not promise future direction.
The script is a rule-based educational framework that explains how a raw correlated-market divergence becomes an accepted, rejected, invalidated, expired, or finally confirmed setup.
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🧠 CORE IDEA
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The core idea behind SMT Sniper Entry Engine is that two markets with a meaningful positive relationship do not always take corresponding liquidity at the same time.
When one market trades beyond a prior liquidity reference while the other market holds its own reference, the difference can create an SMT divergence.
However, the divergence alone contains limited information.
A basic SMT event does not automatically explain:
• whether the sweep was meaningful relative to volatility
• whether the sweeping market reclaimed the reference
• whether the chart candle closed with directional rejection
• whether the candle range expanded enough to matter
• whether the selected markets remain sufficiently correlated
• whether the event occurred near a useful external-range location
• whether the non-sweeping market clearly held its own level
• whether price produced directional displacement afterward
• whether the SMT candle was actually broken
• whether an FVG or micro-structure break confirmed the reaction
• whether the setup remained valid during the confirmation window
• whether another recent final signal is still inside the cooldown period
The engine therefore uses a staged sequence:
comparison-market selection
→ closed-bar liquidity references
→ one-market sweep
→ same-bar reclaim
→ Base Quality Score
→ pair-correlation validation
→ external-range location
→ divergence-separation validation
→ Sniper Score
→ confirmed SMT event
→ temporary setup arming
→ sequential reaction evidence
→ invalidation or expiration control
→ permanent UP or DOWN signal
For bullish conditions, the engine studies prior-low liquidity, bullish rejection, lower external-range location, directional displacement, a close above the SMT candle high, and bullish confirmation evidence.
For bearish conditions, the same process is mirrored around prior highs.
The purpose is not to produce the largest possible number of signals.
The purpose is to make the acceptance process selective, visible, and understandable.
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🧩 WHY THIS SCRIPT IS NOT A SIMPLE BUY/SELL INDICATOR
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SMT Sniper Entry Engine is not designed to be used as a blind signal generator.
A raw correlated-market divergence must move through multiple stages:
One market sweeps liquidity
→ the comparison market does not make the same sweep
→ the sweeping market reclaims its reference
→ sweep depth is evaluated
→ chart-candle direction is checked
→ rejection-close quality is checked
→ range expansion is checked
→ the Base Quality Score is calculated
→ pair correlation is checked
→ external-range location is checked
→ divergence separation is checked
→ the Sniper Score is calculated
→ the SMT event is accepted
→ the confirmation window opens
→ directional displacement is accumulated
→ the SMT candle must be broken
→ FVG and/or micro-structure evidence is accumulated
→ the setup must avoid invalidation
→ the setup must confirm before expiration
→ the final UP or DOWN label appears
Each module serves a different purpose.
The comparison engine defines the external market used for SMT analysis.
The liquidity engine identifies the one-market sweep.
The reclaim engine checks whether the liquidity event closed back inside the reference.
The Base Quality Score evaluates the completed SMT candle.
The Sniper Context Engine evaluates correlation, location, separation, and sweep quality.
The sequential confirmation engine evaluates what price does after the SMT event.
The invalidation and expiration controls remove setups that no longer satisfy the intended sequence.
The dashboard explains the current engine state.
This makes the script a coordinated SMT-confirmation workflow rather than a simple divergence marker.
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⚙️ HOW THE SCRIPT WORKS
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The script operates through connected calculation stages.
First, the engine selects a comparison symbol.
Auto mode uses the built-in symbol matrix.
Manual mode uses the symbol selected by the user.
The comparison market is requested on the same timeframe as the chart.
= request.security(
comparisonSymbol,
timeframe.period,
,
gaps = barmerge.gaps_off,
lookahead = barmerge.lookahead_off,
ignore_invalid_symbol = true)
The request uses lookahead_off.
The engine then calculates rolling chart and comparison-market liquidity references while excluding the current candle.
float chartPriorLow = ta.lowest(low , referenceLookback)
float chartPriorHigh = ta.highest(high , referenceLookback)
float comparisonPriorLow = ta.lowest(comparisonLow , referenceLookback)
float comparisonPriorHigh = ta.highest(comparisonHigh , referenceLookback)
The default reference lookback is 12 bars.
A bullish divergence is possible when one market sweeps a prior low and the other market does not.
A bearish divergence is possible when one market sweeps a prior high and the other market does not.
The sweeping market must reclaim the level on the same completed candle.
The candidate is then evaluated through:
• ATR-normalized sweep depth
• chart-candle direction
• close location
• range expansion
• Base Quality Score
• pair correlation
• external-range location
• divergence separation
• Sniper Score
• directional cooldown
When the SMT event is accepted, the engine stores:
• setup direction
• SMT bar
• SMT extreme
• SMT reaction trigger
• current ATR
• Base Quality Score
• Sniper Score
• sequential evidence states
• first confirmed FVG coordinates
The engine then monitors the next closed candles.
A final signal is accepted only when the active preset’s required evidence is present and the setup has not invalidated or expired.
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🟢 BULLISH SMT LOGIC
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A bullish SMT candidate begins at prior lows.
The engine checks the chart symbol and comparison market together.
A bullish sweep divergence exists when either:
• the chart symbol trades below its prior low while the comparison market does not trade below its corresponding prior low
• the comparison market trades below its prior low while the chart symbol does not trade below its corresponding prior low
The engine accepts a sweep from either market.
The sweeping market must reclaim the prior-low reference when reclaim validation is active.
The completed chart candle must also satisfy the active quality requirements.
The default Sniper profile evaluates:
• sufficient ATR-normalized sweep depth
• bullish chart-candle direction
• a close in the stronger portion of the candle
• minimum candle-range expansion
• minimum Base Quality Score
• minimum positive pair correlation
• location near the lower portion of the external range
• minimum divergence separation
• minimum Sniper Score
• directional SMT cooldown availability
bool bullishSmtEvent =
bullishRawSmtCandidate and
bullishSniperPass and
bullishCooldownPass
When the bullish SMT event is confirmed, the engine stores:
• the SMT low as the bullish invalidation extreme
• the SMT high as the bullish reaction-break trigger
• the current ATR
• the current Base Quality Score
• the current Sniper Score
The confirmation sequence then waits for:
• bullish displacement
• a close above the SMT candle high
• FVG and/or micro-structure evidence according to the active preset
The bullish SMT marker is context.
The final blue UP label is the completed signal.
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🔴 BEARISH SMT LOGIC
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A bearish SMT candidate begins at prior highs.
A bearish sweep divergence exists when either:
• the chart symbol trades above its prior high while the comparison market does not trade above its corresponding prior high
• the comparison market trades above its prior high while the chart symbol does not trade above its corresponding prior high
The sweeping market must reclaim the prior-high reference when reclaim validation is active.
The completed chart candle must also satisfy the active quality requirements.
The default Sniper profile evaluates:
• sufficient ATR-normalized sweep depth
• bearish chart-candle direction
• a close in the weaker portion of the candle
• minimum candle-range expansion
• minimum Base Quality Score
• minimum positive pair correlation
• location near the upper portion of the external range
• minimum divergence separation
• minimum Sniper Score
• directional SMT cooldown availability
When the bearish SMT event is confirmed, the engine stores:
• the SMT high as the bearish invalidation extreme
• the SMT low as the bearish reaction-break trigger
• the current ATR
• the current Base Quality Score
• the current Sniper Score
The confirmation sequence then waits for:
• bearish displacement
• a close below the SMT candle low
• FVG and/or micro-structure evidence according to the active preset
The bearish SMT marker is context.
The final orange DOWN label is the completed signal.
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💎 SMT QUALITY FILTER SYSTEM
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The script calculates separate bullish and bearish Base Quality Scores.
The score evaluates the completed SMT candle and its underlying liquidity event.
Each score is limited to 0–100.
The components are:
Sweep Role — maximum 25 points
The event must contain a valid one-market liquidity sweep.
Only one market should take the corresponding prior high or prior low.
Reclaim — maximum 20 points
The sweeping market must close back inside its prior liquidity reference.
Sweep Depth — maximum 20 points
The distance beyond the reference is measured relative to the corresponding market’s ATR.
Chart Candle Direction — maximum 15 points
Bullish SMT prefers a bullish chart candle.
Bearish SMT prefers a bearish chart candle.
Rejection Close — maximum 10 points
Bullish SMT prefers the chart close toward the high of the candle.
Bearish SMT prefers the chart close toward the low.
Range Expansion — maximum 10 points
The chart candle’s total range is compared with chart ATR.
The total score structure is:
25 + 20 + 20 + 15 + 10 + 10 = 100 points.
Preset-dependent minimum Base Quality Scores are:
• Standard: 60
• Sniper: 75
• Elite: 85
The Base Quality Score is not a win rate.
It is not a probability.
It measures how closely the completed SMT event matches the engine’s liquidity and candle-quality framework.
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📏 VOLATILITY / ATR NORMALIZATION FILTER
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The indicator uses ATR normalization to compare distances across changing volatility conditions.
ATR normalization is applied to:
• chart-side sweep depth
• comparison-side sweep depth
• divergence separation
• displacement body size
• setup invalidation buffer
• chart-candle range expansion
Sweep depth is calculated in relation to the ATR of the market that performed the sweep.
For example:
Chart Sweep Depth = distance beyond chart reference / chart ATR.
Comparison Sweep Depth = distance beyond comparison reference / comparison ATR.
Preset-dependent minimum sweep depth is:
• Standard: 0.04 ATR
• Sniper: 0.10 ATR
• Elite: 0.18 ATR
The chart candle must also meet a minimum range-to-ATR requirement:
• Standard: 0.40 ATR
• Sniper: 0.60 ATR
• Elite: 0.85 ATR
The setup invalidation buffer is based on the ATR stored when the SMT event occurs.
The default buffer is 0.10 ATR beyond the SMT extreme.
ATR normalization helps reduce dependence on raw price units.
It does not make one configuration universal.
Different symbols, sessions, data feeds, and market conditions can still produce different behavior.
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🕯️ DISPLACEMENT QUALITY FILTER
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After an SMT event is accepted, the engine requires directional displacement before a final signal can appear.
A bullish displacement candle requires:
• a confirmed closed candle
• close above open
• body size of at least 0.45 ATR
• body-to-range ratio of at least 0.55
• upper wick no greater than 0.35 of the full candle range
A bearish displacement candle requires:
• a confirmed closed candle
• close below open
• body size of at least 0.45 ATR
• body-to-range ratio of at least 0.55
• lower wick no greater than 0.35 of the full candle range
bool bullishDisplacement =
barstate.isconfirmed and
close > open and
signalCandleBody >= chartAtr * displacementBodyAtr and
signalBodyRatio >= displacementBodyPercent and
bullishOppositeWickRatio <= maximumOppositeWickPercent and
bullishPreviousBreakPass
The bearish process is mirrored.
The previous-bar break option is disabled in the locked default engine.
The more important directional reaction requirement is the SMT-candle break.
Displacement confirms that the market produced a completed directional response after the SMT event.
It does not guarantee continuation.
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📊 REACTION STRENGTH FILTER
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The engine does not require every confirmation component to appear on the same candle.
Instead, reaction evidence can accumulate across separate closed candles inside the temporary confirmation window.
The engine tracks:
• displacement
• SMT-candle break
• Fair Value Gap
• micro-structure break
Bullish SMT-candle break:
• price must close above the stored SMT candle high
Bearish SMT-candle break:
• price must close below the stored SMT candle low
Bullish FVG:
• current low is above the high from two bars earlier
Bearish FVG:
• current high is below the low from two bars earlier
Bullish micro-structure break:
• current close exceeds the highest high from the previous five closed bars
Bearish micro-structure break:
• current close falls below the lowest low from the previous five closed bars
Evidence is persistent while the setup remains active.
For example:
SMT event
→ displacement appears
→ FVG appears later
→ structure break appears on another candle
→ final signal confirms
The active Engine Preset determines which accumulated evidence is required.
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🧼 CONFIRMED SIGNAL FILTER
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Permanent SMT events and final UP / DOWN labels wait for candle close.
The engine uses confirmed-bar checks for:
• raw SMT candidates
• final SMT acceptance
• displacement
• FVG detection
• micro-structure breaks
• setup invalidation
• final UP signals
• final DOWN signals
The comparison-market request uses lookahead_off.
Rolling liquidity references exclude the current candle.
No future candle is used to decide whether the current candle contains an SMT event.
No final signal is plotted back onto the original SMT candle after later evidence becomes available.
The confirmation opportunity is temporary.
The default window is eight bars.
The minimum delay is one bar after the SMT event.
If the active evidence does not complete in time, the setup expires.
Historical output can still change when:
• Engine Preset changes
• comparison symbol changes
• Auto or Manual mode changes
• chart symbol changes
• timeframe changes
• exchange or broker feed changes
• historical data is revised
• the loaded history range changes
Confirmed-close logic prevents unfinished-candle conditions from becoming permanent chart signals.
It does not mean all brokers or data feeds will produce identical historical output.
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🎯 ENTRY MODEL
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SMT Sniper Entry Engine uses a confirmed-signal entry model rather than a built-in broker-order model.
A final directional setup is created only when:
• a qualified SMT event exists
• the confirmation window is open
• the setup has not invalidated
• all preset-required evidence has been accumulated
• final signal cooldown is available
• the current candle is confirmed
The final signal reference is the close of the candle where the UP or DOWN label is printed.
For an UP setup:
• the label appears below the confirmed signal candle
• the signal represents completed bullish SMT confirmation
For a DOWN setup:
• the label appears above the confirmed signal candle
• the signal represents completed bearish SMT confirmation
The script does not automatically calculate:
• an entry line
• a stop-loss level
• take-profit targets
• position size
• account risk
• broker quantity
• trade outcome
The final signal-bar close can be used as an analytical reference.
It is not a guaranteed fill.
Users must define their own execution, invalidation, stop, target, and risk model.
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🔗 COMPARISON MARKET MODEL
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The indicator supports Auto and Manual comparison-symbol modes.
Auto mode recognizes common ticker text and assigns a predefined positively related market.
Built-in mappings include:
Metals
• XAU or GOLD → OANDA:XAGUSD
• XAG or SILVER → OANDA:XAUUSD
Indices
• NAS, US100, USTEC, NDX, or NQ → OANDA:SPX500USD
• SPX, US500, SP500, or ES → OANDA:NAS100USD
• US30, DJI, DOW, or YM → OANDA:SPX500USD
Cryptocurrencies
• BTC → BINANCE:ETHUSDT
• ETH → BINANCE:BTCUSDT
Forex majors
• EURUSD ↔ GBPUSD
• AUDUSD ↔ NZDUSD
• USDCAD ↔ USDCHF
• USDJPY → CADJPY
JPY crosses
• EURJPY ↔ GBPJPY
• AUDJPY ↔ NZDJPY
• CADJPY → USDJPY
• CHFJPY → EURJPY
EUR and GBP crosses
• EURAUD ↔ GBPAUD
• EURNZD ↔ GBPNZD
• EURCAD ↔ GBPCAD
• EURCHF ↔ GBPCHF
• EURGBP → GBPUSD
AUD and NZD crosses
• AUDCAD ↔ NZDCAD
• AUDCHF ↔ NZDCHF
• AUDNZD → NZDUSD
Auto mode is based on ticker-name recognition.
Broker symbols can include prefixes, suffixes, futures contract codes, or synthetic names that are not recognized by the built-in matrix.
When the chart symbol is not recognized, the engine can fall back to the Manual Comparison Symbol value.
The dashboard should therefore be checked before relying on Auto mode.
Manual mode allows the user to select the comparison market directly.
The current engine is designed for positively correlated relationships.
Selecting an inversely related market can make the correlation and SMT logic unsuitable.
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🎯 SNIPER SCORE MODEL
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The engine produces separate bullish and bearish Sniper Scores.
The Sniper Score evaluates broader context around the SMT event.
The maximum score is 100.
The structure is:
Base SMT Quality — maximum 35 points
The 0–100 Base Quality Score contributes 35% of its value.
Pair Correlation — maximum 25 points
Positive effective correlation contributes proportionally.
External-Range Location — maximum 20 points
Bullish SMT receives this component when it occurs below the active maximum bullish range position.
Bearish SMT receives this component when it occurs above the active minimum bearish range position.
Divergence Separation — maximum 10 points
The event receives this component when the non-sweeping market holds its reference by at least the required ATR-normalized distance.
Sweep Depth — maximum 10 points
A valid minimum sweep receives five points.
A sweep at least 1.5 times the minimum depth receives ten points.
Minimum accepted Sniper Scores are:
• Standard: 60
• Sniper: 78
• Elite: 88
Minimum positive pair correlation is:
• Standard: 0.35
• Sniper: 0.55
• Elite: 0.70
External-range requirements are:
Bullish maximum position
• Standard: 0.45
• Sniper: 0.33
• Elite: 0.25
Bearish minimum position
• Standard: 0.55
• Sniper: 0.67
• Elite: 0.75
Minimum divergence separation is:
• Standard: 0.00 ATR
• Sniper: 0.03 ATR
• Elite: 0.08 ATR
The Sniper Score is not a probability.
A score of 88 does not mean an 88% probability of success.
It measures rule-based confluence according to this script’s internal framework.
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📦 ACTIVE SMT / FVG VISUAL SYSTEM
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The script separates SMT context from final signal confirmation.
Historical SMT visuals can include:
• a dotted line from the prior chart-side liquidity reference to the SMT candle
• a minimal bullish or bearish marker near the SMT event
The default historical visual system keeps recent objects only.
The default limits are:
• eight bullish SMT lines
• eight bullish SMT markers
• eight bearish SMT lines
• eight bearish SMT markers
• ten final signal labels
• six signal FVG boxes
Older visual objects can be removed when the corresponding recent-only limit is exceeded.
This is chart-object management.
It does not move a signal to another candle.
Final signal visuals include:
UP
• blue label
• white bold-italic text
• printed below the confirmed signal candle
DOWN
• orange label
• white bold-italic text
• printed above the confirmed signal candle
Signal FVG Box
• appears only when stored FVG evidence exists
• uses the FVG that participated in the active confirmation sequence
• extends 12 bars to the right
• uses a lightly shaded bullish or bearish fill
The FVG box is an analytical confirmation visual.
It is not a guaranteed support, resistance, entry, stop, or target zone.
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🚦 ONE ACTIVE SMT SETUP AT A TIME
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The script maintains one active pending SMT confirmation sequence at a time.
When a qualified bullish SMT event appears:
• the active setup direction becomes bullish
• the bullish SMT extreme and trigger are stored
• the evidence state is reset
When a qualified bearish SMT event appears:
• the active setup direction becomes bearish
• the bearish SMT extreme and trigger are stored
• the evidence state is reset
A newly accepted SMT event can therefore replace the currently stored pending setup state.
The active setup remains in memory until:
• the final UP signal confirms
• the final DOWN signal confirms
• the setup invalidates
• the setup expires
• another accepted SMT event overwrites the pending state
This design prevents multiple overlapping confirmation sequences from creating an unclear chart state.
It does not prevent the user from performing independent analysis on other markets or timeframes.
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⚠️ SEQUENTIAL CONFIRMATION WINDOW HANDLING
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The default confirmation window is eight bars.
The final signal cannot appear on the original SMT candle because the minimum bars after SMT is one.
The engine monitors each completed candle inside the window.
Evidence can be accumulated in different orders.
For example:
SMT
→ displacement
→ SMT-candle break
→ FVG
→ final signal
or:
SMT
→ FVG
→ displacement
→ SMT-candle break
→ structure break
→ final signal
Preset behavior:
Standard
Uses Reactive confirmation.
Requires:
• displacement
• SMT-candle break
Sniper
Uses Confirmed confirmation.
Requires:
• displacement
• SMT-candle break
• FVG or micro-structure break
Elite
Uses Elite confirmation.
Requires:
• displacement
• SMT-candle break
• FVG
• micro-structure break
The engine does not use the historical high-low sequence inside a candle to simulate order execution.
It evaluates whether each closed candle satisfied a defined piece of evidence.
If the setup does not complete inside the window, it expires.
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🏷️ SMT SNIPER LABELS
━━━━━━━━━━━━━━━━━━━━━━
The indicator uses separate context and final-signal labels.
SMT Context Markers
The default SMT marker layout is Minimal.
Bullish SMT uses an upward marker.
Bearish SMT uses a downward marker.
The marker appears on the actual SMT confirmation candle.
Its tooltip can include:
• bullish or bearish SMT direction
• Sniper Score
• Base Quality Score
• effective pair correlation
• active comparison symbol
Final Signal Labels
The final labels display:
𝙐𝙋
or:
𝘿𝙊𝙒𝙉
UP uses a blue background.
DOWN uses an orange background.
The text is white.
Available final-label sizes are:
• Tiny
• Small
• Normal
• Large
• Huge
Normal is the default.
The UP tooltip can include:
• bullish SMT confirmation mode
• final stored Sniper Score
• final stored Base Quality Score
The DOWN tooltip contains the mirrored information.
The SMT marker and final signal label serve different purposes.
The SMT marker identifies the qualified correlated-market divergence.
The UP or DOWN label identifies the completed sequential confirmation.
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📍 SMT DISPLAY MODES
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The indicator operates directly on the main price chart.
The public Display settings provide control over:
Show SMT
Shows or hides historical SMT markers and reference lines.
Show UP / DOWN
Shows or hides final signal labels.
UP / DOWN Label Size
Controls the size of final UP and DOWN labels.
Show Signal FVG
Shows or hides the stored FVG box associated with a final signal.
Show Dashboard
Shows or hides the premium bottom-right dashboard.
The internal visual profile uses:
• Clean layout
• Recent Only historical display
• dotted SMT reference lines
• minimal SMT markers
• normal SMT marker size
• limited historical object counts
• no separate displacement circles by default
Input values are hidden from PulseWire’s status line.
Diagnostic plots remain available in the Data Window without adding visible price-scale clutter.
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🧹 SETUP INVALIDATION
━━━━━━━━━━━━━━━━━━━━━━
Not every accepted SMT event remains eligible.
A bullish setup invalidates when a completed candle closes below:
SMT low − stored SMT ATR × 0.10.
A bearish setup invalidates when a completed candle closes above:
SMT high + stored SMT ATR × 0.10.
The ATR value is stored when the SMT event appears.
This keeps the invalidation buffer linked to the volatility present when the setup was created.
A setup can also fail to produce a final signal because:
• the confirmation window expires
• displacement never appears
• the SMT candle is not broken
• required FVG evidence does not appear
• required structure evidence does not appear
• the final signal cooldown is active
• a newly accepted SMT event replaces the pending state
The directional SMT cooldown is 15 bars.
The final signal cooldown is eight bars.
A rejected, invalidated, or expired pending sequence does not print a final UP or DOWN label.
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📟 DASHBOARD
━━━━━━━━━━━━━━━━━━━━━━
The indicator includes a premium dashboard in the bottom-right corner of the chart.
The header displays:
trade_w_samet • SMT SNIPER
Current State
Possible states include:
• SCANNING MARKET
• BULLISH SMT DETECTED
• BEARISH SMT DETECTED
• BULLISH SETUP BUILDING
• BEARISH SETUP BUILDING
• UP SIGNAL CONFIRMED
• DOWN SIGNAL CONFIRMED
Comparison
Displays the active comparison symbol.
Correlation
Displays the current effective pair correlation.
Engine
Displays:
• STANDARD
• SNIPER
• ELITE
Pair Mode
Displays:
• AUTO
• MANUAL
Signal Score
When a relevant setup is active, the dashboard displays:
current Sniper Score / required Sniper Score.
When no setup is active, it displays:
NO ACTIVE SETUP.
UP / DOWN Counts
Displays the number of final confirmed UP and DOWN signals calculated on the loaded chart history.
Footer
Displays:
• BAR-CLOSE
• NON-REPAINT
• LIVE
The dashboard is not PulseWire Strategy Tester.
It does not display:
• win rate
• profit factor
• expectancy
• drawdown
• net profit
• broker-verified results
UP and DOWN counts are signal counts only.
“LIVE” means the dashboard updates with the latest available script state.
It does not mean the script predicts unfinished intrabar outcomes.
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🚨 ALERT SYSTEM
━━━━━━━━━━━━━━━━━━━━━━
SMT Sniper Entry Engine includes static PulseWire alert conditions for:
• Bullish SMT
• Bearish SMT
• UP
• DOWN
• Any Signal
• Any SMT
Bullish SMT
Triggers when a bullish SMT event passes the complete Base Quality and Sniper acceptance process.
Bearish SMT
Triggers when a bearish SMT event passes the mirrored acceptance process.
UP
Triggers when the bullish sequential confirmation process is complete.
DOWN
Triggers when the bearish sequential confirmation process is complete.
Any Signal
Combines final UP and DOWN conditions.
Any SMT
Combines bullish and bearish SMT conditions.
The script also includes dynamic alert() messages for final UP and DOWN signals.
Dynamic messages can include:
• product name
• direction
• chart ticker
• chart timeframe
• confirmed close price
• active comparison symbol
if enableAlerts
if buySignal
alert(
"SMT Sniper | UP | " +
syminfo.ticker +
" | " +
timeframe.period +
" | Close: " +
str.tostring(close, format.mintick) +
" | Comparison: " +
comparisonSymbol,
alert.freq_once_per_bar_close)
The DOWN dynamic message uses the mirrored format.
Dynamic final-signal alerts use once-per-bar-close frequency.
Alerts are monitoring tools.
They do not place, modify, or close broker orders.
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🔔 HOW TO USE ALERTS
━━━━━━━━━━━━━━━━━━━━━━
For separate static conditions:
1. Add SMT Sniper Entry Engine to the chart.
2. Open PulseWire’s Create Alert window.
3. Select SMT Sniper as the condition.
4. Choose Bullish SMT, Bearish SMT, UP, DOWN, Any Signal, or Any SMT.
5. Select the desired notification method.
6. Use a confirmed-bar frequency where appropriate.
7. Test the alert before relying on it.
For one combined dynamic final-signal alert:
1. Enable Alerts in the indicator settings.
2. Open PulseWire’s Create Alert window.
3. Select SMT Sniper.
4. Select Any alert() function call.
5. Configure the delivery method.
6. Test the UP and DOWN message format.
The combined dynamic alert sends final UP and DOWN events through one PulseWire alert.
Static Any Signal also combines UP and DOWN conditions, but uses the static alertcondition() message.
When indicator settings, code, symbol, or timeframe are materially changed, an already-created PulseWire alert can continue using the script snapshot stored when that alert was created.
Recreate alerts after important configuration changes.
Alert delivery can depend on:
• PulseWire servers
• selected symbol
• selected timeframe
• market-data availability
• realtime feed status
• symbol session
• user alert configuration
• webhook or external-service availability
Creating an alert does not guarantee broker execution.
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🧪 HOW TO USE THE INDICATOR
━━━━━━━━━━━━━━━━━━━━━━
A practical workflow:
1. Add SMT Sniper Entry Engine to a standard candlestick chart.
2. Begin with Engine Preset set to Sniper.
3. Keep Comparison Symbol Mode on Auto for supported symbols.
4. Review the Comparison field in the dashboard.
5. If the automatic market is not appropriate, switch to Manual.
6. Select a positively related comparison market.
7. Keep Show SMT enabled while learning the setup sequence.
8. Observe the historical liquidity reference line.
9. Observe the minimal SMT marker.
10. Treat the SMT marker as context, not as the final signal.
11. Watch the dashboard state.
12. Wait for a blue UP or orange DOWN label.
13. Review the active Sniper Score and required threshold.
14. Review the correlation value.
15. Review the signal FVG box when one is available.
16. Use alerts for monitoring rather than blind execution.
17. Evaluate broader market structure independently.
18. Review session conditions, volatility, spread, and news risk.
19. Define personal entry, invalidation, stop, target, and position-size rules.
20. Test the exact symbol, timeframe, exchange, broker feed, and comparison pair personally used.
The indicator is designed for structured review.
It should not be treated as an automatic decision-maker.
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⚙️ SETTINGS REFERENCE
━━━━━━━━━━━━━━━━━━━━━━
The public settings menu is intentionally simplified.
Advanced thresholds remain locked inside the engine to reduce configuration clutter and preserve consistent preset behavior.
⚙️ Engine
Engine Preset
Selects:
• Standard
• Sniper
• Elite
Standard
Produces more accepted setups.
Uses Balanced Base Quality, Standard Sniper thresholds, and Reactive confirmation.
Sniper
The default profile.
Uses Strict Base Quality, Sniper context thresholds, and Confirmed evidence requirements.
Elite
The most selective profile.
Uses Elite Base Quality, Elite context thresholds, and the strictest sequential evidence requirement.
A stricter preset does not guarantee better trading results.
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🔗 Comparison Market
Comparison Symbol Mode
Auto
Uses the internal ticker-recognition matrix.
Manual
Uses the selected Manual Comparison Symbol.
Manual Comparison Symbol
Selects the external market used by the SMT engine.
This field is active only when Comparison Symbol Mode is Manual.
Use a positively related comparison market.
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🎨 Display
Show SMT
Shows or hides historical SMT reference lines and markers.
Show UP / DOWN
Shows or hides final signal labels.
UP / DOWN Label Size
Selects:
• Tiny
• Small
• Normal
• Large
• Huge
Normal is the default.
Show Signal FVG
Shows or hides the stored FVG box associated with a final signal.
Show Dashboard
Shows or hides the bottom-right premium dashboard.
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🔔 Alerts
Enable Alerts
Enables the script’s static alert conditions and dynamic alert() calls.
For one combined runtime UP / DOWN alert, create the PulseWire alert using:
Any alert() function call.
All public input values use hidden status-line display.
Diagnostic values remain available through PulseWire’s Data Window.
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🧠 WHAT MAKES THIS SCRIPT ORIGINAL
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SMT divergence, liquidity sweeps, correlation, ATR, Fair Value Gaps, and structure breaks are familiar technical-analysis concepts.
These concepts are not unique by themselves.
The originality of SMT Sniper Entry Engine lies in the coordinated process applied to them:
automatic comparison-market selection
→ closed-bar rolling liquidity references
→ one-market liquidity sweep
→ same-bar reclaim
→ ATR-normalized Base Quality Score
→ log-return pair correlation
→ external-range location
→ ATR-normalized divergence separation
→ 0–100 Sniper Score
→ preset-driven SMT acceptance
→ temporary sequential confirmation
→ displacement evidence
→ SMT-candle break
→ FVG and micro-structure evidence
→ ATR-buffered invalidation
→ setup expiration
→ permanent UP or DOWN signal
→ recent-only visual management
→ static and dynamic alerts
→ premium diagnostic dashboard
Distinctive implementation features include:
• accepting a valid sweep from either market
• using rolling closed-bar references instead of pivot confirmation
• separating the SMT event from the final signal
• calculating separate Base Quality and Sniper Scores
• requiring positive pair correlation according to preset
• using preset-specific external-range thresholds
• measuring divergence separation relative to ATR
• accumulating confirmation evidence across separate candles
• storing the SMT candle as the reaction trigger
• storing ATR at the moment the setup is armed
• using different confirmation strictness for Standard, Sniper, and Elite
• limiting historical objects without relocating signals
• providing automatic comparison-market assistance with manual override
• supporting both static and combined dynamic alerts
• exposing detailed diagnostics through the Data Window
The script is not a simple combination of unrelated indicators.
Every module supports the same objective: determining whether a closed-bar SMT divergence has enough liquidity, correlation, location, reaction, and confirmation evidence to become a permanent final signal.
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⚠️ IMPORTANT PRACTICAL NOTES
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Signal frequency depends on:
• Engine Preset
• chart symbol
• comparison symbol
• ticker naming
• timeframe
• session
• volatility
• pair correlation
• liquidity-reference structure
• sweep depth
• chart-candle quality
• external-range location
• divergence separation
• directional cooldown
• post-SMT displacement
• SMT-candle break
• FVG evidence
• micro-structure evidence
• final signal cooldown
• available history
• data provider
Standard can produce more setups.
Elite can produce substantially fewer setups.
Fewer signals do not guarantee better results.
The built-in Auto matrix uses predefined OANDA and BINANCE symbols.
The chart symbol can come from another broker or exchange.
Different feeds can produce:
• different highs and lows
• different candle closes
• different ATR values
• different liquidity sweeps
• different correlation readings
• different final signals
Manual mode can be used when comparison-feed consistency is important.
The current engine expects a positive relationship.
An inversely related comparison market should not be selected.
The dashboard’s UP and DOWN values are signal counts.
They are not wins and losses.
The Signal Score is a confluence score.
It is not historical accuracy.
The SMT marker is not the final signal.
The final UP or DOWN label appears after post-SMT confirmation.
Changing settings recalculates historical conditions.
Changing the comparison market can materially change the script’s output.
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⚠️ LIMITATIONS AND SHORTCOMINGS
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This script has important limitations:
It does not guarantee profitable trades.
It does not predict future price movement.
It does not execute orders.
It does not place broker stops.
It does not place take-profit orders.
It does not calculate position size.
It does not include spread.
It does not include commission.
It does not include slippage.
It does not include latency.
It does not model partial fills.
It does not model financing or swap.
It does not evaluate order-book conditions.
It does not evaluate news risk.
It uses bar-based OHLC data.
It does not reconstruct exact intrabar price sequence.
It assumes a positive comparison relationship.
Its automatic matrix cannot recognize every broker symbol.
Unsupported Auto symbols can use the Manual Comparison fallback.
Correlation can change over time.
A historically correlated pair can temporarily decouple.
A confirmed SMT divergence can fail.
A displacement candle can be followed by reversal.
An FVG can be filled immediately.
A micro-structure break can become a false break.
A high Base Quality Score can still fail.
A high Sniper Score can still fail.
The Signal Score is not a win probability.
The dashboard is not PulseWire Strategy Tester.
Signal counts are not audited account performance.
The script does not provide verified profitability statistics.
The script does not provide broker-verified trade outcomes.
Alert delivery depends on PulseWire and user configuration.
Changing settings changes historical calculations.
Changing symbol, exchange, session, timeframe, or feed can change signals.
Available history can affect rolling calculations.
Permanent final signals wait for candle close.
The final label can therefore appear later than a discretionary intrabar entry.
For these reasons, the indicator should be used as an educational decision-support tool, not as a standalone automated strategy.
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👤 WHO THIS SCRIPT MAY BE USEFUL FOR
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This script may be useful for traders who:
• understand basic SMT divergence
• compare positively related markets
• study liquidity sweeps and reclaims
• want more context than a raw SMT marker
• prefer confirmed-close signals
• want selective preset modes
• use displacement as confirmation
• use Fair Value Gap concepts
• use micro-structure breaks
• want automatic comparison-market assistance
• want a manual comparison override
• want transparent quality scoring
• want a compact public settings menu
• want a premium dashboard
• want separate SMT and final-signal alerts
• want one combined UP / DOWN dynamic alert
• want Data Window diagnostics
It may be less suitable for users who:
• want guaranteed signals
• want every raw SMT divergence displayed
• want a fully automated trading bot
• want built-in TP and SL management
• want verified Strategy Tester performance
• want inverse-correlation SMT analysis
• expect one comparison pair to work on every feed
• require tick-level execution modeling
• want signals before candle close
• expect a score to equal probability
• want the indicator to replace personal judgment
• expect alerts to execute broker orders automatically
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🧭 BEST PRACTICE SUGGESTIONS
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For the default selective profile:
• use standard candlesticks
• begin with Sniper preset
• keep Auto mode only when the dashboard comparison is appropriate
• use Manual mode for broker-specific comparison control
• select positively related markets
• keep Show SMT enabled while learning
• distinguish the SMT marker from the final signal
• wait for the final UP or DOWN label
• review the correlation value
• review the active Signal Score
• review external market structure independently
• consider session liquidity and volatility
• use personal stop placement
• use personal target planning
• use personal position sizing
• test alerts before depending on them
• test the exact symbol and timeframe personally used
For additional frequency:
• use Standard preset
Standard reduces:
• Base Quality requirements
• correlation requirements
• range-location restrictions
• divergence-separation requirements
• Sniper Score threshold
• final confirmation evidence
For additional selectivity:
• use Elite preset
Elite increases:
• minimum sweep depth
• rejection-close requirement
• minimum range expansion
• Base Quality threshold
• correlation threshold
• external-range restriction
• divergence-separation threshold
• Sniper Score threshold
• final evidence requirement
Always:
• wait for the candle to close
• verify the active comparison symbol
• use the SMT marker as context
• use the final signal as confirmation
• review broader structure independently
• review personal risk before any trade
• treat alerts as monitoring tools
• remember that every confirmed setup can fail
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🔓 PUBLICATION NOTE
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SMT Sniper Entry Engine is published as an educational correlated-market divergence and confirmation tool.
The purpose of this description is to explain:
• how the comparison market is selected
• how Auto and Manual modes differ
• which markets are included in the automatic comparison matrix
• how closed-bar liquidity references are calculated
• how a one-market sweep is identified
• how reclaim validation works
• how sweep depth is normalized by ATR
• how chart-candle direction and rejection quality are evaluated
• how the Base Quality Score is constructed
• how pair correlation is calculated and filtered
• how external-range location is evaluated
• how divergence separation is measured
• how the Sniper Score is constructed
• how Standard, Sniper, and Elite differ
• how a qualified SMT event arms the confirmation engine
• how the temporary confirmation window works
• how evidence is accumulated across separate closed candles
• how displacement is detected
• how the SMT-candle break is used
• how Fair Value Gap evidence is detected
• how micro-structure evidence is detected
• how setup invalidation works
• how setup expiration works
• when final UP and DOWN labels appear
• what the SMT markers and dotted reference lines represent
• what the signal FVG box represents
• what the dashboard displays
• what the static alerts contain
• how “Any alert() function call” works
• what diagnostic values are available in the Data Window
• how confirmed-close timing works
• what the engine does not simulate
• why familiar SMT concepts are organized into an original workflow
The script is designed to support structured analysis.
It does not promise profitable results.
It does not remove market risk.
It does not execute trades.
It does not calculate position size.
It does not provide a built-in TP / SL trade-management model.
It should not be used as a blind UP / DOWN system.
Repainting and Timing Disclosure
SMT Sniper Entry Engine is designed around confirmed-bar calculations.
Permanent SMT events and final UP / DOWN labels use barstate.isconfirmed.
The comparison-market request uses:
• barmerge.gaps_off
• barmerge.lookahead_off
Liquidity references use previous closed candles.
The current candle is excluded from the prior-reference calculation.
The script does not use:
• pivot-high functions
• pivot-low functions
• future-bar confirmation
• negative plot offsets
• historical signal backplotting
• later relocation of final signal labels
A final UP or DOWN signal appears on the candle where the complete confirmation sequence becomes valid.
It is not moved backward to the original SMT candle.
Historical drawing cleanup can delete older lines, markers, labels, or boxes when the recent-object limit is exceeded.
Deleting an old drawing is not repainting.
The original signal bar is not changed.
Historical results can still differ when:
• settings are changed
• comparison symbols are changed
• Auto or Manual mode is changed
• chart symbols are changed
• timeframes are changed
• broker or exchange feeds are changed
• historical data is revised
• available chart history is changed
Realtime behavior also depends on when PulseWire receives the final data for the closing candle.
Confirmed-close design reduces unfinished-candle changes.
It does not eliminate market risk, data-feed differences, or alert-delivery limitations.
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🛡️ DISCLAIMER
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SMT Sniper Entry Engine is provided for educational and informational purposes only.
It does not constitute financial, investment, trading, legal, or tax advice.
No indicator can guarantee future results.
Markets are uncertain.
Correlation changes.
Liquidity changes.
Volatility changes.
Market structure changes.
Historical chart behavior does not ensure future performance.
Every user is responsible for their own:
• analysis
• validation
• comparison-market selection
• execution planning
• stop placement
• target planning
• position sizing
• risk management
• alert configuration
• trading decisions
• broker execution
• legal obligations
• tax obligations
The liquidity references, SMT markers, dotted lines, Base Quality Scores, Sniper Scores, correlation values, external-range filters, divergence-separation values, displacement conditions, Fair Value Gap boxes, micro-structure conditions, UP labels, DOWN labels, dashboard states, Data Window values, signal counts, and alerts are visual analysis tools only.
The SMT marker is not a guaranteed reversal.
The UP label is not a guaranteed profitable long trade.
The DOWN label is not a guaranteed profitable short trade.
The Signal Score is not a win probability.
The Base Quality Score is not a probability.
The correlation reading is not a guarantee that two markets will continue moving together.
The automatic comparison symbol is not guaranteed to be suitable for every broker feed.
The FVG box is not a guaranteed support or resistance zone.
The micro-structure break is not a guarantee of continuation.
The final signal-bar close is not a guaranteed fill.
The script does not include spread, commission, slippage, latency, financing, contract specifications, order rejection, partial fills, or broker-specific execution behavior.
Use this script as a structured SMT divergence-review and confirmation framework, not as a promise of profitability or a substitute for independent judgment.
Indicator
Distributional Shift Sentinel Wasserstein Regime MonitorDistributional-Shift Sentinel — Wasserstein Regime Monitor
Detects when the SHAPE of returns changes — not just the average or the variance. It claims a change, never a direction.
What it does
Most regime tools watch a moving average or a volatility band, so they only react to changes in LEVEL or SPREAD. But a market can keep the same mean and variance while its return distribution quietly changes shape — skew flips, tails fatten, the character of the auction turns. Those are the shifts that moment-based tools see late. This sentinel compares the recent return distribution against a reference window using the Wasserstein-1 ("earth-mover") distance — a metric sensitive to the whole shape — and raises a flag when the shape has moved unusually far.
How it works, and why these components together
This is a deliberate synthesis of three parts, each covering the previous one's weakness:
The Wasserstein-1 distance (optimal-transport statistics: Monge; Kantorovich). For one-dimensional data it is simply the average gap between the two windows' matched order-statistics: sort both return windows and average the absolute differences. Unlike KL/JS divergence it registers both the location and the magnitude of the difference, so a fattening tail or a skew flip shows up even when mean and variance are unchanged. Weakness it leaves open: the raw number is meaningless in isolation — "0.4" is not a shift.
A self-calibrated alarm. The distance is normalized by the reference dispersion (comparable across symbols) and ranked against its own recent history; a shift is flagged only when the reading is unusually large for this symbol and timeframe (percentile input). No fixed magic threshold. Weakness it leaves open: readings near the alarm line flicker.
A minimum-dwell announcement filter (the standard anti-chattering design from switched-systems control): SHIFT/STABLE is announced only after surviving a set number of confirmed bars. Cost: that many bars of lag — stated and adjustable.
When a shift fires, the dashboard decomposes it into what moved — location (median), scale (dispersion), shape (skew) — so the flag is informative, not just a light.
How to read it (all visuals)
Shift lane — the thin strip at the pane bottom: amber = distribution shifted, green = stable. Alert colors (change/normal), never direction. The one-glance read.
Dashboard — SHIFT/STABLE headline; shift rank; normalized distance; DRIVER (loc/scale/shape); STABILITY (% of the last 50 bars in the current state); PENDING (a forming state with countdown); windows and alarm settings.
HTF STACK — the raw shift state on three higher timeframes derived as multiples of the chart (defaults 3×, 5×, 15× — a 5m chart reads 15m/25m/75m automatically). ✓ = every timeframe agrees; ⚠ = a higher timeframe has shifted while the chart looks stable — a shape change above your resolution. Note: the deeper slots need many bars of their own timeframe (reference + calibration windows), so they warm up slowly on intraday charts; "—" for a while is correct.
SHIFT tags print on announced changes; a subtle background tint marks shifted spans.
How to use it
Treat a SHIFT as an early warning to widen stops, cut size, or re-evaluate any model or setup that assumed the old regime — not as a buy or sell. It pairs naturally with trend, structure, and fragility tools: they tell you what the regime is; this tells you when the regime's distributional character stopped being what it was. Alerts fire on shift start and shift end.
Non-repaint
Windows, the distance, the alarm, and all state announcements advance only on CONFIRMED bars; the live bar is provisional. Higher-timeframe requests use lookahead-off. No lower-timeframe data is used anywhere, so the script runs identically on every plan and symbol.
Use on any market
Price source, return type, window lengths, and the alarm percentile are all inputs; the metric is scale-relative (normalized by reference dispersion). Defaults suit liquid intraday index futures.
Originality & credits
The synthesis — sorted-sample Wasserstein-1 on a rolling chart window, dispersion normalization, self-calibrated percentile alarm, dwell-filtered state, driver decomposition, and the multi-timeframe stack — is original work for this publication. Concept credits: optimal transport / earth-mover distance — G. Monge, L. Kantorovich; Wasserstein two-sample comparison for change/drift detection — standard optimal-transport statistics literature. Implementation and charting design are the author's own.
Disclaimer
Research and education only. NOT financial advice, NOT a signal service, NOT a guarantee of future results. A detected shift is a descriptive statement about the past distribution on this chart; it does not predict direction or magnitude. Regimes change without warning. Validate independently and manage your own risk. Indicator
Ghost Zones GTI - Adaptive Demand & Supply Zones────────────────────
Adaptive Demand & Supply Zones (ADSZ)
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Automatically plots dynamic demand and supply zones on daily and weekly timeframes. Unlike static support/resistance levels, these zones adapt in real-time to market volatility using ATR (Average True Range) — expanding during volatile markets and contracting during calm periods.
Works universally on any instrument: Stocks, Indices, Crypto, Commodities, and Forex.
🔍 HOW IT WORKS
The indicator computes Effective Volatility from the annualized ATR percentage, then derives statistically-grounded zone levels:
● Strong Zones (Demand & Supply) — placed at ±1σ from the session open. These represent high-probability reversal areas where price is statistically likely to find strong support or resistance.
● Weak Zones — placed closer to the open at ±σ/(2√2). These act as early warning levels — initial reaction zones where price may pause or consolidate before continuing.
● Zone Width — scales proportionally with volatility using the golden ratio (φ = 1.618). Strong zones are wider than weak zones, reflecting higher conviction at extreme levels.
● Weekly Point of Control (WPOC) — a key weekly pivot level anchored to Monday's open.
The Math:
Effective Volatility = ATR Slope × Annualized ATR%
σ (sigma) = Price × EffVol / (100 × √252)
Strong zones: Open ± σ
Weak zones: Open ± σ/(2√2)
Strong width: σ/4
Weak width: σ/(4×φ)
📊 ZONE GUIDE
🟢 Strong Demand (Green) — High-probability buy zone, price stretched to the downside
🟩 Weak Demand (Lime) — Early demand area, potential bounce or consolidation
🟧 Weak Supply (Orange) — Early supply area, potential rejection or consolidation
🔴 Strong Supply (Red) — High-probability sell zone, price stretched to the upside
🟡 WPOC (Gold) — Weekly Point of Control, key weekly pivot
⚙️ SETTINGS
Daily Parameters: • Daily ATR Period (default: 20) — ATR lookback on daily bars (~1 trading month) • Daily ATR Slope (default: 0.69) — Multiplier for zone width. Higher = wider zones • Daily Intercept (default: 0.0) — Keep at 0 for best cross-regime stability
Weekly Parameters: • Weekly ATR Period (default: 5) — ATR lookback on weekly bars (~1 trading month) • Weekly ATR Slope (default: 0.68) — Multiplier for zone width. Higher = wider zones • Weekly Intercept (default: 0.0) — Keep at 0 for best cross-regime stability
💡 HOW TO USE
1. Intraday Trading — Use daily zones as key levels for entries, exits, and stop-loss placement. Strong zones offer the highest probability reversals.
2. Swing Trading — Combine daily and weekly zones. When a daily strong demand aligns with weekly demand, it creates a confluence zone — very high probability entry.
3. Risk Management — Zone boundaries provide natural stop-loss levels. Place stops just beyond the strong zone boundary.
4. Volatility Awareness — Watch how zones expand and contract. Wider zones signal higher expected moves — adjust position sizing accordingly.
5. WPOC — Price above WPOC suggests bullish bias, below suggests bearish.
🔧 TUNING FOR DIFFERENT INSTRUMENTS
Defaults optimized for Indian indices (Nifty 50). For other instruments: • Higher slope (0.72–0.80) → more volatile (small-caps, crypto) • Lower slope (0.60–0.68) → less volatile (large-cap US stocks, bonds)
✅ KEY FEATURES
● Universal — works on any instrument, no external data dependencies
● Adaptive — zones auto-scale with market volatility via ATR
● Dual Timeframe — daily and weekly zones plotted simultaneously
● Statistically Grounded — annualized volatility + golden ratio geometry
● Fully Customizable — all parameters adjustable in settings
● Clean Display — toggle individual components on/off
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Tip: For the cleanest chart, use on 5min or 15min timeframes with daily zones enabled, and use on 1-hr timeframe with weekly zones enabled
──────────────────── Indicator
Strategy
Triple Confluence Navigator [MarkitTick]💡 A highly sophisticated analytical framework designed to identify high-probability market setups by demanding alignment across three distinct dimensions of market data: momentum crossovers, adaptive volatility momentum tracking, and structural price action. Instead of relying on a single lagging variable, this system synthesizes traditional oscillators, advanced digital signal processing (such as Kalman filtering), and structural swing analysis. By integrating automated risk management, multi-take-profit targeting, and a real-time tracking dashboard, it operates as a comprehensive suite for systematic market analysis.
✨ Originality and Utility
● A Multi-Dimensional Consensus Model
Most standard technical tools assess the market through a single lens, such as pure price action or pure momentum. The originality of this system lies in its stringent confluence requirements. It isolates three independent mathematical models and requires all of them to agree within a user-defined chronological window. This significantly filters out market noise and reduces the frequency of false positive signals commonly associated with sideways or choppy conditions.
● Oscillatory Supertrend Application
While a Supertrend is traditionally overlaid on raw price action, this script innovates by calculating an Average True Range (ATR) directly on the Adaptive RSI (ARSI) oscillator. By establishing a Supertrend over momentum rather than price, the tool identifies the structural trend of the underlying momentum itself, offering a preemptive view of market shifts before they fully materialize in physical price movement.
● Dynamic Risk-Bounding
The utility is heavily elevated by its integrated risk management architecture. Rather than relying on static pip/tick stops, the system calculates dynamic risk parameters comparing structural pivot ranges against ATR-capped maximums. This ensures that the generated stop-loss levels are mathematically sound, adapting to prevailing market volatility while adhering to strict structural invalidation points.
🔬 Methodology and Concepts
• Pillar One: The Cardwell Momentum Averages
The first confluence pillar focuses on moving average crossovers applied to the Relative Strength Index (RSI). Instead of standard Simple Moving Averages, the system utilizes advanced smoothing algorithms—specifically Kalman Filters or Low Latency Adaptive Moving Averages (LLAMA). This separates the underlying momentum signal from high-frequency market noise, establishing a primary directional bias.
• Pillar Two: Adaptive RSI and Oscillator Supertrend
The second pillar generates an Adaptive RSI (ARSI), normalizing the absolute differences of price movement against historical highest highs and lowest lows. This adaptive data stream is then heavily filtered and paired with a momentum-based Supertrend. A crossover between the ARSI and its own moving/volatility band dictates the secondary momentum confirmation.
• Pillar Three: Market Structure and Swing Pivots
The third pillar grounds the mathematical momentum in tangible price action. The engine calculates precise pivot highs and pivot lows over a specified lookback period. A confirmed signal requires price to physically breach these structural swing levels, registering a Break of Structure (BoS) or a Change of Character (ChoCh).
• The Confluence Window and HTF Bias
Signals from these three pillars rarely occur on the exact same bar. The system tracks the bars elapsed since each respective signal. If all three pillars trigger in the same direction within the defined confluence window, a master setup is generated. Furthermore, an overarching Higher Timeframe (HTF) security check ensures that these local confluences do not contradict the macro directional trend.
🎨 Visual Guide
• On-Chart Trade Mapping
Entry Line: A dashed line indicating the exact closing price of the signal bar.
Stop Loss (SL) Line: A dashed line representing the structural or volatility-based invalidation point, labeled with an X.
Take Profit (TP) Lines: Three distinct dashed lines projecting the target levels based on the calculated risk multiplier.
• Signal Markers and Fills
Labels: Distinct textual markers reading BUY or SELL highlight the precise candle where the triple confluence is met.
Risk Zone: A translucent shaded area bridging the Entry line and the Stop Loss line, visualizing the total capital exposure.
Reward Zone: A differently colored translucent shading extending from the Entry to the final Take Profit (TP3) level.
• Real-Time Dashboard
The Heads-Up Display (HUD) is a table anchored to the chart corner. It outputs the live status of the Cardwell MA, Adaptive ARSI, and Structure modules. It includes dynamic visual bars indicating current RSI and ADX levels, displays the state of the HTF bias, and calculates the live floating risk-to-reward ratio of an active setup.
📖 How to Use
• Identifying Setups
Monitor the chart for the appearance of the signal labels. When a setup is validated, the system will immediately draft the Entry, SL, and TP lines on the chart. Assess the Risk Zone and Reward Zone visuals to ensure the potential setup aligns with your personal risk tolerance.
• Dashboard Monitoring
Use the dashboard to evaluate the health of the confluence. If the ADX visual bar is extremely low, it indicates market chop, suggesting that even a confluence signal might suffer from lack of follow-through. Monitor the structural trend state in the dashboard to understand the broader context of the immediate signal.
• Trade Management
The predefined TP1, TP2, and TP3 lines serve as partial profit-taking areas. As price achieves TP1, consider shifting risk to breakeven, utilizing the subsequent lines as trailing markers. The HUD's Live R metric tracks the real-time fractional gain or loss based on the initial risk unit.
⚙️ Inputs and Settings
• Momentum & Averages
RSI Len: Defines the lookback period for the base oscillator.
Fast/Slow Len: Defines the lookback for the moving averages applied to the oscillator.
Filter Type: Dropdown to select between standard RMA, recursive Kalman Filtering, or adaptive LLAMA.
• Adaptive Volatility
Kalman Process & Measurement Noise: Granular inputs adjusting the responsiveness and smoothness of the Kalman state estimation.
LLAMA Min/Max Alpha: Bounds for the dynamic efficiency ratio used in the adaptive moving average.
ST Factor: The volatility multiplier that determines the width of the ARSI Supertrend band.
• Structure & Trade Configuration
Swing Len: The number of bars required to confirm a structural high or low.
SL ATR Mult: The maximum allowable distance for a stop loss, based on True Range.
SL Struct Buffer: The fractional ATR distance placed beyond a swing pivot to prevent premature stop outs.
TP1/TP2/TP3 R:R: The dynamic risk multiples used to project the take profit levels.
Confluence Window: The maximum number of bars allowed to pass between the three distinct pillar signals for them to remain valid together.
🔍 Deconstruction of the Underlying Scientific and Academic Framework
• Recursive State Estimation (Kalman Filter)
The inclusion of a Kalman-inspired filter applies concepts from control theory and digital signal processing. Unlike simple averaging which inherently introduces phase lag, this algorithm estimates the true state of the momentum by predicting the next value and updating its estimation based on the actual measured value. By weighing the process noise against the measurement noise, the script aggressively smooths erratic momentum spikes while instantly snapping to genuine directional shifts.
• Adaptive Linear Regression (LLAMA)
The Low Latency Adaptive Moving Average applies statistical regression to determine the current market phase. It calculates the slope of the data over a set period and compares it to the absolute range of that period to derive an Efficiency Ratio. This ratio acts as a dynamic alpha coefficient. In highly efficient, directional markets, the alpha increases, forcing the average to tightly track the data. In inefficient, mean-reverting markets, the alpha decreases, flattening the average to ignore statistical noise.
• Statistical Variance and Orthogonal Agreement
By mandating a Triple Confluence, the system relies on the reduction of statistical variance. The three pillars—price structure, base momentum, and adaptive momentum bands—are mathematically orthogonal; they calculate market state using distinctly different algorithms. The probability of all three aligning purely by chance (random walk) is exceptionally low. Therefore, when confluence is achieved, it represents a statistically significant deviation from market equilibrium, highlighting a high-probability directional vector.
⚠️ Disclaimer
All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. We expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion. Indicator
Demand Supply Zone MatrixDemand Supply Zone Matrix by DayTradeSetup
Demand Supply Zone Matrix is an automatic Demand & Supply Zone indicator designed to help traders identify important price areas more clearly without manually drawing every zone.
The system detects potential Supply and Demand zones based on market momentum, volume activity, and the strength of price movement. It also includes zone grading, touch tracking, mitigation reference levels, alerts, and a dashboard summary to help traders filter key zones more efficiently.
Key Features
• Automatic Demand & Supply Zones
Automatically detects potential Supply and Demand zones based on strong directional price movement.
• Strength Grade / Score
Each zone is graded with an A / B / C score to help traders evaluate the quality and strength of each zone more easily.
• 50% Mitigation Line
Displays the midpoint of each zone, which can be used as a reference area for mitigation, retest, or reaction analysis.
• Touch Counter
Tracks how many times price has returned to test a zone, helping traders identify whether a zone is still fresh or has already been tested.
• Zone Retest Alert
Sends an alert when price comes back to test an active Supply or Demand zone.
• Zone Break Alert
Sends an alert when a zone is invalidated or broken by price action.
• Dashboard Summary
Includes a dashboard showing Supply/Demand zone count, best grade, total volume, and overall market bias.
How to Use
This indicator is designed to be used as a technical analysis tool for identifying areas where buying or selling pressure may appear.
Suggested workflow:
1. Check whether Supply or Demand is currently dominant.
2. Focus on higher-grade zones such as A or B.
3. Wait for price to return and test the zone.
4. Use additional confirmation such as Price Action, Market Structure, Trend Direction, or Risk Management before entering a trade.
Suitable For
This indicator is suitable for traders who use concepts such as:
Demand & Supply
Smart Money Concepts
Price Action
Retest Zones
Momentum Trading
Intraday Trading
It can be applied to multiple markets, including XAUUSD, Forex, Crypto, Indices, and different timeframes depending on the trader’s strategy.
Disclaimer
This indicator is a technical analysis tool only. It is not a direct Buy/Sell signal and does not guarantee trading results. Traders should always combine it with their own trading plan, risk management, and additional confirmation before making any trading decisions.
Risk Warning: Trading involves risk. Please study and understand the risks carefully before making any investment or trading decision. Indicator
Adaptive Market Suite [Jayadev Rana]Overview
Adaptive Market Suite is a four-module analysis toolkit that draws on the price chart. Each module is independent: turn any of them on or off, and each has its own settings group. It shows context, not buy or sell arrows. The four modules are an adaptive trend, volatility bands, market structure with order blocks and fair-value gaps, and an order-flow oscillator. You read the confluence and make your own decisions.
Module 1 - Adaptive Trend and Regime
A moving average whose smoothing adapts to Kaufman's efficiency ratio: the net distance price travelled divided by the total path it took to get there. In clean trends the ratio is high and the average speeds up to hug price; in chop it is low and the average slows and flattens. The line is coloured by its slope, and the info panel reports whether the market is trending or ranging from the same ratio.
Module 2 - Expected-Move Bands
Volatility bands around the adaptive basis. Instead of a fixed multiple of range, the band width scales with where the current Average True Range sits in its own recent history (its percentile), so the bands contract in quiet conditions and expand when volatility rises. A nearer pair and a wider pair mark two envelopes.
Module 3 - Liquidity and Structure
Market structure from confirmed swing pivots, labelled as Break of Structure and Change of Character. Because the pivots are symmetric (confirmed on both sides), they are fixed before they are drawn and do not repaint afterward. On a structure break the tool marks the order block behind the move (the last opposite-direction candle before the push) and it tracks fair-value gaps, which are three-bar imbalances. Each zone follows a mitigation lifecycle: it is extended while it is live and greyed once price trades through it, and only the most recent zones per type are kept so the chart stays readable.
Module 4 - Order-Flow Oscillator
A normalised buy and sell pressure read in the indicator pane. For each bar it combines where price closed within the bar's range with how large that bar's volume was relative to its recent average. Sustained closes near the highs on strong volume push the oscillator positive; the mirror pushes it negative. An absorption marker highlights bars with heavy volume but a small range, where effort is not producing movement.
Info panel
An optional compact table summarises the current trend direction, the regime read, the volatility percentile, and the current order-flow side. It is context only.
Inputs
Inputs are grouped per module: General (ATR length); Module 1 (efficiency length, fast and slow smoothing, regime threshold, colours); Module 2 (volatility lookback, base and extra width, colour); Module 3 (swing length, order-block lookback, max zones per type, toggles for structure, order blocks and fair-value gaps, colours); Module 4 (pressure smoothing, absorption threshold, colours); plus an info-panel toggle. Every module has a single enable switch.
Alerts
Bullish and bearish structure break, and the order-flow oscillator crossing above or below zero.
How to use it
Treat it as a confluence map rather than a signal. For example, price reaching an order block near the lower band, with the order-flow oscillator turning up while the adaptive trend is still rising, is a stronger context than any one of those alone. Turn off the modules you do not need: if you only trade structure, disable the other three groups for a clean map. It is intended for liquid instruments and works across timeframes; the demonstration chart is Gold on the 1-hour timeframe.
Limitations
The structure module confirms swings with bars on both sides, so its labels and order blocks appear a fixed number of bars after the pivot forms. That delay is the trade-off that keeps them from repainting. The bands, the oscillator and the info panel read the current bar and update as it forms, like any live calculation. This is an analysis tool, not a strategy: it places no orders, makes no performance claim, and there is no win rate because it does not promise trades.
Disclaimer
For education and research only. This is not financial advice, and past chart behaviour does not predict future results. Test any approach yourself and manage your own risk. Indicator
Participation-Adjusted Momentum [TradeDots]Participation-Adjusted Momentum
Summary
This indicator computes a momentum oscillator that has been adjusted by participation quality . Raw momentum (standardized rate-of-change) is multiplied by a quality blend derived from volume percentile, close-location alignment within the bar, and range-per-volume efficiency. The intent is to differentiate strong momentum supported by participation from moves that look impressive on price alone but occur on thin volume or wide ranges with little net travel. The histogram is colored by one of five interpretable states (Strong Bull, Strong Bear, Thin, Quiet Accumulation, Noisy) so users see at a glance whether to trust a momentum reading.
What is original here
Momentum oscillators (rate-of-change, MACD, RSI) and volume oscillators (volume percentile, MFI) are widely available. This script's contribution is the deliberate combination into a single adjusted reading, plus the five-state classification that maps raw-momentum / participation combinations to labelled regimes. The "Quiet Accumulation" state (low momentum but rising volume percentile) and the "Thin" state (strong momentum but low participation) are specifically called out because they are the most actionable readings — both indicate that the price reading and the order-flow reading disagree, and that disagreement deserves a label.
How it works
Each bar, the following quantities are computed.
Raw momentum. Rate-of-change of close over a configurable length, then z-scored (subtract the mean, divide by the standard deviation) over the normalization lookback. The result is approximately bounded but can exceed plus or minus 3 in extreme moves.
EMA slope. A 50-period EMA's change over a configurable lookback, min-max normalized to 0-100. Used as a secondary directional bias (computed and exposed as a hidden plot, but not directly added to the displayed oscillator).
Volume percentile. Volume rank over the normalization lookback (typically 100 bars).
Close-location value. Where the close sits within the bar's high-low range, expressed as a percentage. For an upward-direction reading, a close near the bar's high indicates buyers won the bar; for a downward-direction reading, a close near the bar's low indicates sellers won.
Participation. Volume percentile (divided by 100) multiplied by direction-aligned close-location value (also normalized to 0-1). Result is in ; higher means "good participation".
Range per volume. Bar range divided by volume. High range per volume means a wide candle moved on thin flow — typical of news spikes, illiquid prints, or false moves. The percentile rank of range-per-volume is inverted (low range-per-volume gives a high "efficiency score") and used as a quality factor.
Quality blend. A weighted combination: 0.4 * participation + 0.4 * range_efficiency + 0.2. The +0.2 floor ensures that even with zero participation and zero efficiency, the adjusted momentum retains 20% of the raw signal so the oscillator does not flatline completely.
Adjusted momentum = raw momentum × quality blend.
State classification (mutually exclusive):
Strong Bull : raw momentum at or above +threshold and participation at or above 0.55
Strong Bear : raw momentum at or below −threshold and participation at or above 0.55
Thin : absolute raw momentum at or above threshold and participation below 0.35 — momentum without volume, a warning state
Quiet Accumulation : absolute raw momentum below the quiet threshold and volume percentile above the quiet-volume floor — flat price but rising participation
Noisy / Low Quality : the catch-all when none of the above apply
The histogram bar color reflects the current state.
Repainting and data integrity
All factors are computed on confirmed bar values; alerts are gated by barstate.isconfirmed. No request.security() calls are made — the script operates entirely on the chart timeframe.
How to read the chart
The primary plot is the adjusted-momentum histogram, colored by state.
A thin overlay line shows the same value with continuous color for easy zero-line reading.
Reference lines at zero and at ±1 standard deviation provide context for how extreme the current reading is.
Hidden plots expose raw momentum, participation, volume percentile, and direction so they are available in the Data Window.
The dashboard panel shows the current state in the header, then numeric readings for raw momentum (in z-units), adjusted momentum, volume percentile, participation, range efficiency, and the quality blend.
Inputs
Inputs are grouped into three sections.
Core Settings : ROC length, percentile / z-score lookback, EMA slope length, slope lookback bars, strong-momentum z-threshold, quiet-accumulation maximum z, quiet-accumulation minimum volume percentile.
Visual Settings : zero-line toggle, ±1σ band toggle, dashboard toggle, panel position and size, panel background color.
Any Alert() function call conditions : per-alert toggles.
Alerts
Four alert conditions are provided, each firing on the first bar the state is entered:
Strong Bull Momentum
Strong Bear Momentum
Quiet Accumulation Detected
Momentum Without Volume (the "Thin" warning state)
Each is declared via alertcondition() and is fired programmatically through alert() when the corresponding input toggle is enabled, with alert.freq_once_per_bar_close. Alert messages include {{ticker}} and {{interval}} placeholders.
How to use this script
This is a confirmation indicator. It does not generate entries on its own.
When considering an entry on price strength alone, check this indicator. A Strong Bull or Strong Bear state confirms that volume and close location support the move.
The "Thin" state is a warning. A breakout that prints during a Thin reading should be treated more cautiously than the same breakout during Strong Bull.
The Quiet Accumulation state can identify periods of base-building before a move and is useful as a "watchlist" signal.
Use alongside a setup-specific indicator for entry timing.
Limitations and honest caveats
Volume quality varies dramatically between markets. On crypto exchanges, wash-trading and bot-driven order flow can produce misleading volume percentile readings. Apply with awareness.
Z-score normalization requires the lookback to contain a representative variety of states. On instruments with strong regime changes, early-bar z-scores may be unreliable until the lookback fills.
The close-location alignment factor reads single-bar close behavior. On gappy markets or after market closes, the alignment may not reflect intraday order flow.
The script does not signal direction independently; it adjusts and labels momentum that is already present.
The +0.2 floor in the quality blend is a design choice to avoid flat-lining the oscillator. Users who want a strict "zero adjustment when participation is zero" reading can set the participation weights higher and adjust the floor by modifying the source code.
Disclaimer
This script is published for informational and educational purposes. It is not investment advice and is not a recommendation to buy or sell any instrument. Adjusted momentum is a descriptive measure, not a prediction of future price. Users are solely responsible for their own trading decisions and risk management.
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GreenStar ATR% Extension MonitorGreenStar ATR% Extension Monitor
The GreenStar ATR% Extension Monitor answers two questions in one window:
1) How volatile is the name? (14-period ATR as a percent of price)
2) How far has price stretched from a moving average, in relation to historical data?
Some names routinely stretch to 10-12x before mean-reverting. Others rarely clear 5x.
Scroll back on a daily chart to see extension habits for that symbol.
Why extension matters
Dollar distance from a 50-day MA does not compare a $15 name to a $400 name.
Dividing percent gain from the MA by ATR% provides a multiple of normal daily range.
That is the blue xFromMA line.
The green ATR% stepline shows the denominator: typical range relative to price.
These are separate formulas on the same pane and timeline to show correlation.
(It does not draw on the price chart.)
Two plots with independent calculations
ATR% (green stepline): 14-period ATR as a percent of price. Typical daily range relative to price level.
xFromMA (blue line): how many ATR% units price sits above or below the MA.
ATR% = ATR(14) / close x 100
xFromMA = ((close - MA) / MA x 100) / ATR%
Zero on xFromMA means price is at the MA.
A negative value indicates price is currently below the MA level.
Reading the pane
Both lines declining together often means the name is compressing toward the MA. Volatility and stretch easing at the same time.
Both rising means it's expanding.
Diverging slopes happen too.
xFromMA climbing while ATR% falls can mean price drifting from the MA while day-to-day volatility cools.
Read each line first, then note whether they agree.
Note: The lines share a pane for context, not because they combine into a signal.
A green/blue touch or cross is not a buy or sell event.
Visible-range markers (optional)
High, low, and mean for xFromMA are calculated from the visible bars on the chart.
There is no fixed lookback period.
They update on scroll or zoom, comparing current stretch to recent visible history.
The mean is the average xFromMA over those visible bars, not the midpoint between high and low.
Visible-range mean requires high/low lines enabled in the same settings group.
Optional zero line (dotted): xFromMA = 0, full width of the pane.
ATR% high/low bands exist too, off by default.
Settings
MA period (default 50)
MA type (default SMA)
ATR period (default 14)
Line colors and widths (default: dark green ATR%, blue xFromMA)
Zero line (default on)
High/low bands, xFromMA (default on)
Visible-range mean (default on)
ATR% high/low bands (default off)
Disclaimer
Context tool only. Not a signal, not financial advice. No entry or exit triggers. Past extension habits do not predict future price action.
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