KRT Kalman Regime Tricolor# 📊 KRT — Kalman Regime · Tricolor
**Designed and statistically validated for 🥇 GOLD and Ξ ETHEREUM.** A regime compass, not a buy signal: KRT reads the market on three layers — background regime, trend, your candle — and shows you which way the wind blows at every moment: 🟢 long · 🔴 short · 🔵 wait.
**⚡ ZERO lookahead, ZERO repaint.** Every signal appears in real time using only the information available at that moment, and whatever is printed at a bar close never changes afterwards. Many indicators look perfect because they quietly redraw the past — KRT is built for the opposite: what you see in replay is exactly what you would have seen live.
## ⚡ Quick start (30 seconds)
The colored BACKGROUND = the underlying regime.
Green 🟢 = bull regime installed → longs carry. Red 🔴 = bear regime installed → shorts carry. No color = no regime → caution.
The CURVE trails price like a stop line: below the candles in an uptrend, above them in a downtrend. Price crossing the curve = the reversal.
The curve's intensity = the strength of the authorization.
BRIGHT = trend aligned with the regime. Pale = secondary bias only. Blue = wait.
THE MARKERS — one single rule:
SOLID green or red marker (big triangle OR diamond) = GO. Blue = wait. Small = provisional.
🟢▲ / 🔴▼ BIG triangle — GO: reversal confirmed AND regime aligned.
🟢◆ / 🔴◆ Diamond — Deferred GO: the regime installs while the trend already points that way (often follows a big blue triangle). Same strength as a big colored triangle.
🔵▲ / 🔵▼ BIG blue triangle — reversal confirmed but no regime behind it → wait (a diamond will tell you if it becomes a GO).
▵▿ Small triangles (any color) — early alerts on your chart, ahead of confirmation. Provisional.
No thinking required: solid + colored = apply your strategy · blue = patience · small = not yet.
Drop it on gold or Ethereum, chart timeframe 5m–15m. Run YOUR strategy on top: KRT gives the direction, you handle entries, stops and exits.
## ⚠️ Before you use it
This is an indicator, NOT a strategy: it provides no entry or exit points.
Validated with permutation tests on gold and Ethereum. On Bitcoin the detection displays but the statistical edge is not demonstrated; on major forex pairs it is absent. Test it yourself before using it elsewhere.
The background regime changes slowly (weeks): that is by design — it filters, it does not scalp.
## 🔍 Understanding the display (going deeper)
THE THREE LAYERS
Regime (background, default 8H) — a slow Kalman trend filter with hysteresis: the background only colors once the regime is installed (default 3 days, adjustable). Locked at its own bar close: it does not flicker and does not repaint.
Trend (curve, default 1H) — the exact price level that would flip the trend filter, computed in advance: the distance between price and curve measures the strength of the trend.
Your candle (the chart) — the curve is monitored at your chart's granularity: you see the flip before the 1H close (small triangles), the close confirms it (big triangles).
HOW TO READ IT
Green background + bright green curve + GO = every layer agrees: the most favorable long context. Mirror in red for shorts.
Pale green curve = uptrend without an installed regime — weak bias.
Pale red curve = intraday "breather" (recurring windows of weakness inside an uptrend) — a short-lived bias, not an invitation to swing short.
Blue = no statistical edge. The best trade is often no trade.
After a bullish GO, price often retests the curve before continuing: aim for the retest rather than the impulse.
TIMEFRAMES & SETTINGS
Chart from 1m to 1H (5m–15m recommended).
Trend TF / Regime TF: the only settings an advanced user may change (swing trading: 4H/D).
Regime installation age (default 72h): higher = rarer, more reliable background; lower = more reactive, more false regimes.
Everything else (q values, thresholds, windows): the calibrated and validated core of the model — keep the defaults.
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KRT is a decision-support tool based on historical data. Past performance does not guarantee future results. Manage your risk. 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
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
Supertrend Transition FrameworkSupertrend Transition Framework is not a basic Supertrend clone.
The Supertrend line is the visible base layer. The main contribution is a neutral transition layer that describes profile agreement, boundary distance, transition pressure, flip age, boundary touches, flip cascade context, and trail behavior.
This script is designed for traders who want a trend-direction reference from ATR-based trailing boundaries while also seeing context around boundary proximity, profile agreement, recent transitions, and trail behavior.
It is a context and visualization tool only. It does not provide trade-action instructions and it is not a trading system.
What it shows
- A manually calculated ATR-based Supertrend boundary.
- Optional fast, base, and slow Supertrend profiles.
- Profile agreement across enabled Supertrend profiles.
- Boundary distance measured in ATR units.
- Transition pressure based on proximity to the active boundary.
- Flip age for the base profile.
- Boundary touch context.
- Flip cascade context across profiles.
- Trail slope context.
- ATR input drift.
- A compact state fingerprint.
- A context table with Compact, Standard, and Detailed layouts.
- Optional capped event labels.
- Factual alert conditions.
Manual Supertrend profiles
The script calculates Supertrend profiles directly from current chart bars.
Each profile uses:
- ATR length
- ATR multiplier
- band source
- flip source
- enable switch
- optional line display
- visual settings
The default profiles are:
- Fast profile: ATR length 7, multiplier 2.0
- Base profile: ATR length 10, multiplier 3.0
- Slow profile: ATR length 21, multiplier 4.0
The base profile is the primary visible boundary by default. Fast and slow profile lines are available but are not shown by default to keep the chart clean.
The default inputs are common starting points. They are not optimized settings.
Profile Agreement
The script compares the valid Supertrend profile directions.
Agreement Score ranges from about -100 to +100:
- +100 means all valid profiles are upward.
- -100 means all valid profiles are downward.
- near 0 means profiles are mixed.
Agreement requires the base profile to be valid and at least two valid profiles to be available. A single valid profile is not treated as profile agreement.
Possible agreement states include:
- Need profiles
- Need base profile
- Warming up
- Need 2+ valid profiles
- Agreement upward
- Agreement downward
- Mixed profiles
Boundary Distance
The base Supertrend boundary is used as the active boundary.
The script calculates the distance from the selected price to the active boundary in ATR units.
This is shown as Boundary distance.
This field describes current distance only. It is not a risk model, projected level, or instruction.
Transition Pressure
Transition Pressure describes proximity to the active Supertrend boundary.
It is calculated from the distance to the boundary and the selected pressure ATR window.
A higher value means price is closer to the active boundary.
This does not tell users what will happen next. It only describes proximity to the active boundary.
Flip Age
Flip Age counts how many bars have passed since the base profile last changed direction.
This helps users see how long the current base structure has persisted.
Boundary Touch Context
A boundary touch is observed when price touches or approaches the active Supertrend boundary within the selected ATR tolerance.
The script tracks Boundary touch age.
The touch event is rising-edge based, so it does not repeatedly fire every bar while price stays near the boundary.
Flip Cascade Context
The script tracks whether fast, base, and slow profiles have recently changed into the same current base direction within the selected cascade lookback.
Cascade context can read as:
- No cascade
- Partial cascade
- Full cascade
- n/a
This is descriptive only.
Trail Slope Context
The script measures how the base Supertrend trail has changed over the selected trail slope lookback.
Trail slope context can read as:
- Rising trail
- Falling trail
- Flat trail
- n/a
ATR Input Drift
Because Supertrend uses ATR, the script includes a simple ATR input drift readout.
ATR input drift compares the current base ATR to a prior base ATR value over the selected lookback.
It can read as:
- ATR input rising
- ATR input falling
- ATR input steady
- n/a
This is not a volatility-regime classifier. It only describes how the ATR input used by the base profile has changed.
Transition State and Transition Context
The main State is direction and agreement focused.
Possible states include:
- Need profiles
- Need base profile
- Warming up
- Need 2+ valid profiles
- Upward agreement
- Downward agreement
- Upward base / mixed profiles
- Downward base / mixed profiles
- Mixed profiles
Transition Context is shown separately so that boundary proximity does not hide the direction/agreement state.
Transition Context can show:
- Boundary touched
- Cascade active
- Full cascade
- High boundary pressure
- Moderate boundary pressure
- Low boundary pressure
- n/a
State Fingerprint
The Fingerprint is a compact summary row for quick reading.
Example:
B+ A+ P34 C2 F18
Meaning:
- B+ means the base profile is upward.
- B- means the base profile is downward.
- B0 means the base profile is unavailable.
- A+ means upward profile agreement.
- A- means downward profile agreement.
- A0 means mixed or unavailable agreement.
- P shows boundary pressure.
- C shows cascade count.
- F shows base flip age.
The fingerprint is a compact context summary. It is not an instruction.
Context table
The context table is on by default.
Compact layout shows:
- State
- Fingerprint
- Transition context
- Base direction
- Agreement
- Boundary distance
- Flip age
Standard layout adds:
- Agreement score
- Boundary pressure
- Boundary distance ATR
- Cascade
- Trail slope
- Last boundary touch
- Alert mode
- Label mode
- Bar status
Detailed layout adds research fields, including:
- Fast direction
- Base direction
- Slow direction
- Enabled profiles
- Valid profiles
- Up / Down profile count
- Agreement ready
- Fast / Base / Slow readiness
- Fast / Base / Slow ATR
- Base trail
- Trail slope %
- ATR drift %
- Cascade count
- Pressure window
- Touch tolerance
- Cooldown state
- Last event age
- Label cap
- State ID
- Active settings
The context table is the primary research surface. The script does not add extra chart plots for these research fields.
Labels and alerts
Labels are optional and off by default.
Label modes:
- Off
- Base flips
- All events
Labels are capped by a user-defined maximum. Older labels are deleted after the cap is reached.
Labels are confirmed-bar visual records by default.
Alert mode and label mode are disclosed separately in the context table. Alerts are confirmed on close by default, and intrabar alert behavior can be enabled from the settings.
The final event engine is shared by alerts and labels. Event cooldown and one-event-per-bar behavior apply to final events.
Factual alert conditions include:
- Base Supertrend flipped upward
- Base Supertrend flipped downward
- Profiles reached upward agreement
- Profiles reached downward agreement
- Profiles became mixed
- Boundary pressure reached threshold
- Boundary touch observed
- Cascade context changed
Customization
Users can adjust:
- band source
- flip source
- confirmed-bar event mode
- automatic warm-up behavior
- fast/base/slow profile enable settings
- fast/base/slow ATR lengths
- fast/base/slow multipliers
- fast/base/slow line visibility
- fast/base/slow colors, widths, and transparency
- agreement threshold
- pressure ATR window
- high pressure threshold
- boundary touch tolerance
- cascade lookback
- trail slope lookback
- trail slope flat threshold
- ATR drift lookback
- ATR drift threshold
- minimum state bars for events
- event cooldown
- context table layout
- context table position
- table text size
- event label mode
- background tint
- label cap
- table colors
- label colors
- tint transparency
Visual settings do not affect calculations.
Plot-budget design
The script keeps chart plots minimal.
Only the fast, base, and slow Supertrend trails are plotted as lines.
Labels are used for optional event records instead of shape plots, and they are capped. No extra chart plots are used for research fields.
Different from other tools
This script does not use Keltner channels, session shading, volatility-regime classification, VWAP, volume weighting, RSI divergence, or moving-average structure analysis.
It focuses only on ATR-based Supertrend boundaries and their transition context.
Limitations
Supertrend is ATR-based and changes when ATR length, multiplier, or source settings change.
ATR-based boundaries lag price by design.
A profile agreement state can persist, unwind, or flip.
Boundary pressure does not tell users that a boundary change will occur.
A mixed profile state does not tell users that direction will change.
Defaults are starting points, not optimized settings.
The script describes current and recently observed structure. It is not financial advice and not a trading system.
Japanese notes
このスクリプトは通常のSupertrendライン表示だけではなく、Fast / Base / Slow の一致、境界までの距離、境界圧力、Flip age、Boundary touch、Cascade、Trail slope、ATR drift、Fingerprint、Context tableでSupertrendの転換文脈を可視化する補助ツールです。売買判断や将来の値動きを示すものではなく、現在のATRベース境界とその周辺状況を整理するためのツールです。 Indicator
Adaptive Supertrend [ForexCracked]🔷 OVERVIEW
Adaptive Supertrend is a trend-following tool that automatically adjusts its sensitivity to current market volatility. A classic Supertrend uses one fixed factor, which whipsaws in choppy conditions and lags in calm ones. This version measures the live volatility regime and scales the ATR factor between a low and a high setting, so the trail tightens when volatility is low and widens when volatility is high.
🔷 CONCEPTS
Supertrend trails price using an ATR band whose width is set by a "factor." Instead of one fixed factor, this script ranks the current ATR against its own recent range (a 0–100 volatility percentile) and maps that rank onto a factor between your Min and Max settings:
• Low volatility → smaller factor → tighter trail, earlier signals. • High volatility → larger factor → wider trail, fewer false flips.
🔷 HOW TO USE
• Stay with the trend while the line sits below price (up) or above price (down). • A flip of the line marks a potential trend change, shown with a Buy or Sell label. • Read the Info panel for the live trend and the current volatility regime (Low / Medium / High). • Combine it with structure or support and resistance for confirmation, and always use a stop. No single indicator is a complete system.
🔷 SETTINGS
• ATR Length — lookback for the ATR band. • Min Factor / Max Factor — the range the factor adapts between. • Volatility Lookback — bars used to rank the current volatility. • Style — Buy/Sell labels, gradient fill, info panel, bar coloring, and colors.
🔷 ALERTS
• Buy (flip up) and Sell (flip down).
Free and open-source. Educational tool, not financial advice. Indicator
Indicator
SUPERTREND RIBBONsupertrend ribbon
supertrend ribbon is a confirmed trend ribbon built from multiple supertrend bands. it is designed to show a clean, stable, and readable market direction directly on the chart.
instead of allowing each band to change color separately, the ribbon uses one master trend state. this keeps the full ribbon in one confirmed color and helps avoid visual fragmentation, false flips, and noisy mid-trend breaks.
the goal is simple: show whether the market is in a confirmed bullish or bearish trend, while keeping the chart clean and easy to read.
---
main concept
the indicator uses 8 supertrend bands with different factors.
each band can be bullish or bearish.
the script counts how many bands are aligned in the same direction.
when enough bands confirm a new direction, the full ribbon changes trend.
this creates a more stable trend filter than a single supertrend line, because the ribbon does not flip on every small price movement.
---
what the indicator shows
trend ribbon
the ribbon shows the dominant trend state.
green means confirmed bullish trend.
red means confirmed bearish trend.
band lines
the internal band lines can be displayed to see the full structure of the ribbon.
ribbon fill
the fill between the bands makes the trend easier to read visually.
core line
the core line gives a fast reference for the main trend path.
confirmed flip markers
markers appear only when a trend flip is confirmed.
trend background tint
a soft background color can be enabled to show the current trend regime.
dashboard
the dashboard shows the current trend, the number of aligned bands, flip requirements, fast core direction, and early long / short validity.
---
inputs guide
atr period
sets the atr period used by the supertrend bands.
a lower value makes the ribbon more reactive.
a higher value makes the ribbon smoother and more stable.
base factor
sets the starting supertrend factor.
a lower value keeps the ribbon closer to price.
a higher value makes the ribbon wider and more filtering.
factor step
sets the spacing between the 8 supertrend bands.
a lower value makes the bands tighter.
a higher value makes the ribbon wider.
bands to confirm a flip
sets how many bands must confirm a new direction before the ribbon changes color.
a higher value reduces false flips.
a lower value makes the ribbon faster.
confirm for n bars
sets how many bars the confirmation condition must remain valid before the trend flips.
1 is faster.
2 or 3 is stricter and can reduce whipsaws.
show band lines
shows or hides the internal ribbon lines.
show ribbon fill
shows or hides the fill between the bands.
core glow
enables a glow effect around the core line.
show core line
shows or hides the main core line.
show confirmed flip markers
shows or hides confirmed trend flip markers.
trend background tint
enables or disables the soft trend background.
show dashboard
shows or hides the dashboard.
dashboard position
sets the dashboard position on the chart.
bull
sets the bullish trend color.
bear
sets the bearish trend color.
accent / transition
sets the accent color used for dashboard and transition information.
neutral
sets the neutral text and information color.
---
how to use the indicator
the ribbon is best used as a trend filter.
when the ribbon is green, the market is in a confirmed bullish trend.
in this condition, long setups have priority.
when the ribbon is red, the market is in a confirmed bearish trend.
in this condition, short setups have priority.
the ribbon should not be used as a standalone entry signal.
its main purpose is to help avoid trading against the dominant trend.
---
beginner tutorial
1. add the indicator to the chart.
2. start with the default settings.
3. look at the ribbon color.
4. if the ribbon is green, focus mainly on long opportunities.
5. if the ribbon is red, focus mainly on short opportunities.
6. avoid buying when the ribbon is red.
7. avoid selling when the ribbon is green.
8. use confirmed flip markers to identify confirmed trend changes.
9. use the dashboard to check how many bands are aligned.
10. combine the ribbon with market structure, volume, support and resistance, order blocks, liquidity zones, and proper risk management.
---
simple usage example
if price is above the ribbon and the ribbon is green, the market is in a bullish trend.
a trader can wait for price to pull back toward the ribbon, then look for a bullish reaction before considering a long setup.
if price is below the ribbon and the ribbon is red, the market is in a bearish trend.
a trader can wait for price to pull back toward the ribbon, then look for a bearish rejection before considering a short setup.
---
order block filter example
a bullish order block is stronger when the ribbon is green.
a bearish order block is stronger when the ribbon is red.
if a long setup appears while the ribbon is red, the setup is more risky.
if a short setup appears while the ribbon is green, the setup is more risky.
the ribbon can therefore be used as a confirmation filter before taking early entries.
---
beginner settings
atr period: 10
base factor: 1.0
factor step: 0.4
bands to confirm a flip: 6
confirm for n bars: 1
show band lines: on
show ribbon fill: on
show core line: on
show confirmed flip markers: on
trend background tint: personal preference
show dashboard: on
this setup gives a balanced mix of reactivity and stability.
---
stricter settings
bands to confirm a flip: 7
confirm for n bars: 2 or 3
this setup reduces false flips, but trend changes appear later.
---
faster settings
bands to confirm a flip: 5
confirm for n bars: 1
this setup reacts faster, but it can create more false flips in choppy markets.
---
important notes
the ribbon shows a trend regime, not a guaranteed entry signal.
the best use is to trade in the direction of the ribbon.
confirmed flips are more reliable than fast color changes.
a green ribbon means long setups have better context.
a red ribbon means short setups have better context.
risk management is required on every trade.
supertrend ribbon is designed to make trend direction clear, reduce visual noise, and help traders stay aligned with the dominant market structure.
Indicator
Volume Profile Supertrend [HexaTrades]Volume Profile Supertrend re-imagines the classic Supertrend. Instead of trailing bands built from pure volatility (ATR), it builds them around the levels where real volume has traded the Point of Control and Value Area.
The philosophy is simple: a normal Supertrend follows volatility; this one follows where the market accepts value. Price tends to gravitate to, and trend away from, the zones where the most business gets done. By anchoring the trend engine to value migration, the indicator aims to stay on the right side of the move while filtering out a portion of low-quality volatility noise.
Everything is computed internally in Pine; no built-in Volume Profile tool is used, so it works on any symbol and timeframe that has volume.
💡How it works
1. Rolling Volume Profile:
It looks back over the last Profile Lookback bars, finds the high–low range, and divides it into Number of Rows price buckets. Every historical bar's volume is distributed across the buckets its range spans, producing a fresh volume distribution on every candle.
2. POC, VAH & VAL:
POC (Point of Control) : the price bucket with the highest traded volume (the "fairest price").
Value Area: the script expands outward from the POC until it captures the chosen Value Area % (default 70%) of total volume.
VAH / VAL: the upper and lower edges of that Value Area.
3. Smoothing & Supertrend bands:
POC, VAH, and VAL are smoothed with EMAs to remove jitter. Two trailing bands are then built, exactly like a Supertrend:
Lower band = smoothed VAL − (ATR × buffer) → support used while bullish.
Upper band = smoothed VAH + (ATR × buffer) → resistance used while bearish.
The bands only trail in the trend-following direction, so they lock in as the price advances.
4. Trend flip:
The trend is bullish while price holds above the lower band, and flips bearish when price closes below it (and vice-versa). The flip is evaluated against the previous bar's confirmed bands, so closed candles never change.
💡How to read it
🔶Bullish:A green line sits below the price. The market is accepting a higher value; treat pullbacks toward the line as the trend "breathing." A flip to red is your warning.
🔶Bearish: A red line sits above the price. Value is migrating lower; rallies into the line are where sellers tend to re-engage. A flip to green signals a potential turn.
🔶Choppy Markets: When price is inside the value area and trend strength is low, the market may be sideways.
In these conditions, signals can be weaker. It may be better to wait for a clear value breakout or stronger trend strength.
🔺Signals
- BUY label prints when the trend flips from bearish to bullish.
- SELL label prints when the trend flips from bullish to bearish.
- A flip dot marks the exact bar of the change on the trend line.
- Trend Strength Filter: Set Minimum Trend Strength above 0 to filter out weak trend flips and display only higher-conviction signals. (Available in the indicator settings.)
┼ Dashboard
-Trend: Current direction Bullish or Bearish.
-Strength: 0–100% conviction score blending distance from POC, POC slope, and whether price has broken outside the Value Area.
-Price Position: Above / Inside / Below Value Area.
-Last Signal: The most recent BUY or SELL that fired.
Alerts
The indicator includes alerts for important events:
-Buy Signal / Sell Signal
-Bullish Trend / Bearish Trend (flip)
-Price Above Value Area / Price Below Value Area
-Price Crossing POC EMA
Suggested Settings
For Intraday Trading
Use lower lookback and medium rows for faster signals.
Example:
-Profile Lookback: 50–100
-Rows: 30–50
-EMA Smoothing: 8–14
-ATR Buffer: 0.5–1.0
For Swing trading
Use higher lookback and smoother settings for cleaner signals.
Example:
-Profile Lookback: 100–250
-Rows: 40–70
-EMA Smoothing: 10–21
-ATR Buffer: 0.8–1.5
For Cleaner Signals
-Increase EMA Smoothing Length
-AIncrease TR Buffer
-Increase Minimum Trend Strength
Volume Profile Supertrend combines the proven structure of a Supertrend with the market's true area of value derived from a rolling Volume Profile. Instead of relying solely on price volatility, it follows the migration of value through the Point of Control (POC) and Value Area (VAH/VAL) to identify higher-quality trend changes.
Whether you're a day trader or swing trader, this indicator helps you visualize trend direction, identify dynamic support and resistance, filter weak reversals, and stay aligned with the prevailing market structure. Use it as a standalone trend-following tool or alongside your existing trading strategy for additional confirmation.
We would love to hear your suggestions. If you have ideas for new features, indicators, analytics, or improvements, please share your feedback. Your input helps guide future updates and improve the indicator for all traders.
This indicator is for educational and analytical purposes only. It is not financial advice. Trading involves risk. Always use proper risk management and combine this indicator with your own analysis before taking any trade.
Indicator
Adaptive RSI Supertrend [MarkitTick]💡 A highly advanced, multi-dimensional momentum and volatility tracking ecosystem designed for professional market analysis. Rather than relying on traditional price-based trailing stops, this indicator projects a volatility-banded Supertrend directly onto an Adaptive Relative Strength Index (ARSI). This creates an incredibly responsive momentum oscillator that dynamically adjusts its own thresholds based on underlying market kinematics. By integrating high-order digital signal processing filters, higher timeframe confirmations, and volume-weighted validation, this tool provides a comprehensive, terminal-style perspective on market regime, momentum acceleration, and localized price extremes without succumbing to the noise typical of standard oscillators.
✨ Originality and Utility
The standard Relative Strength Index is frequently plagued by false signals, erratic whipsaws during consolidation, and a failure to contextualize momentum within broader structural trends. This script resolves these systemic inefficiencies through a deliberate and mathematically sound synthesis of disparate analytical domains. The combination of an ARSI with a localized Supertrend is not an arbitrary pairing; it solves the problem of static overbought/oversold boundaries. By mapping average true range (ATR) bands onto the RSI itself, the indicator creates dynamic, breathing support and resistance levels for momentum. Furthermore, the integration of advanced smoothing algorithms (Kalman and LLAMA) strips out high-frequency noise, ensuring that crossovers between the ARSI and the Supertrend-derived Merged Line represent statistically significant momentum shifts rather than fleeting market anomalies. This unified framework replaces the need for an overlapping array of disparate indicators, offering a singular, high-contrast dashboard for absolute market clarity.
🔬 Methodology and Concepts
The internal architecture of this tool is built upon several synchronized analytical layers, heavily optimized to protect the integrity of the underlying logic while delivering seamless visual output.
● Adaptive Momentum Core
At the heart of the script is the ARSI, which abandons traditional static lookbacks in favor of a responsive differential tracking model. It evaluates the absolute range of price action against directional movement, feeding these differences through a recursive smoothing engine. This results in an oscillator that remains highly sensitive to genuine trend initiation while heavily penalizing sideways chop.
● Digital Signal Processing (DSP) Filters
The raw momentum data is processed through user-selectable DSP algorithms to extract the true signal from market noise. The Kalman Filter dynamically estimates the true state of momentum by balancing process noise against measurement noise, adapting instantly to volatility spikes. Alternatively, the LLAMA filter applies an efficiency-ratio-driven alpha scaling model, tightening its smoothing factor during periods of low efficiency and relaxing it during strong directional bursts.
● Oscillator-Bound Supertrend
Instead of applying a Supertrend to price, the script calculates a specialized ATR based on the frame-to-frame variance of the ARSI. It then projects upper and lower deviation bands around the ARSI, maintaining a directional bias based on trailing breakouts. The resulting baseline is then averaged with the DSP-filtered signal to create the "Merged Line," serving as the ultimate zero-lag trailing threshold for momentum.
● Multi-Factor Regime Scoring
The script continuously evaluates the broader market context by scoring four distinct components: the absolute level of the ARSI, the trigonometric angle of the ARSI trajectory, the state of the oscillator Supertrend, and the relationship of price to a macroeconomic baseline moving average. These factors are normalized and aggregated into a 0-100 Regime Score, offering a unified metric of trend health.
🎨 Visual Guide
The visual presentation is engineered for high-contrast, dark-mode optimized aesthetics, providing immediate, terminal-style data processing without chart clutter.
● Chart Elements
Color-Matched Candles: Price candles are painted based on the kinetic relationship between the ARSI and its signal line. Neon Cyan indicates strong bullish momentum, Dark Teal indicates weak bullish momentum, Deep Crimson indicates strong bearish momentum, and Maroon denotes weak bearish pressure. Slate Gray represents a neutral momentum state.
Dynamic Support/Resistance Boxes: Translucent, neon-bordered zones (Cyan for Support, Crimson for Resistance) highlight localized structural extremes, providing immediate context for price breakouts.
Trade Projection Labels: When crossover signals fire, dashed projection lines emerge, extending forward to display precisely calculated Entry (Slate), Stop Loss (Crimson), and multi-tiered Take Profit (Neon Green) levels based on dynamic risk-to-reward parameters.
Chart Angle Label: A floating text label displays the exact trigonometric angle and classification of the current trend (e.g., "Strong Uptrend / 45.2°").
● Oscillator Pane Elements
Adaptive RSI Line: Plotted with a dynamic gradient that transitions from Deep Crimson (extreme weakness) to Neon Cyan (extreme strength), instantly conveying momentum depth.
Merged Signal Line: A distinct Neon Purple to Deep Pink gradient line acting as the trailing support/resistance for the ARSI.
Divergence Histogram: Translucent Cyan and Red histogram bars plot the delta between the ARSI and the Merged Line, visualizing the acceleration or deceleration of momentum crosses.
Background Shading: The oscillator pane background shifts to a deep blue/purple tone during overbought (above 80) and oversold (below 20) extremes. A striking Electric Gold background illuminates periods where momentum enters a highly compressed "Squeeze" state.
Signal Markers: Crisp "BULL" (Cyan) and "BEAR" (Red) text labels appear on the oscillator when fully validated crossovers occur.
● The Analytics Dashboard
A fixed, dark-background HUD presents granular telemetry using segmented block bars and color-coded text for rapid scannability:
ARSI Level: Percentage reading of the current momentum state.
Signal Strength: Block visualization of the DSP-filtered baseline.
Angle Momentum & Acceleration: Metrics tracking the velocity and delta-velocity of the trend trajectory.
Supertrend & Market Bias: Text readouts indicating the dominant structural direction.
HTF Trend & Volume: Validation checks displaying the alignment of higher timeframes and localized volume surges.
Volatility ATR & Last Cross: Precise numerical readouts of market expansion and the duration since the last major signal.
Regime Score: The composite 0-100 metric, color-coded from Crimson (Bear) to Neon Magenta (Transition) to Cyan (Bull).
📖 How to Use
Identify Momentum Regime: Monitor the Dashboard's Regime Score. A score above 70 combined with a Neon Cyan ARSI line indicates an environment where long positions are statistically favored.
Trade the Crossover: Wait for the ARSI to cross the Merged Line. Validated crosses will generate a distinct "BULL" or "BEAR" label. Check the Dashboard to ensure the Volume Filter and HTF Trend are aligned (marked with a green checkmark).
Navigate Squeezes: When the oscillator background turns Electric Gold, the market is experiencing a severe volatility contraction. Avoid initiating new positions during the squeeze. Wait for the background color to clear, accompanied by an Alert indicating a Squeeze Breakout, before trading the subsequent expansion.
Manage Risk via Trade Labels: Upon a valid signal, utilize the automatically projected Entry, SL, and TP lines on the main chart to structure your position sizing according to the script's ATR-derived risk mechanics.
⚙️ Inputs and Settings
ARSI & Signal Lengths: Controls the primary lookback periods for the oscillator and its baseline.
Signal Filter Type: Select between RMA, Kalman Filter, or LLAMA to dictate the specific mathematical model used for noise reduction.
Supertrend ATR Length & Factor: Adjusts the sensitivity and width of the volatility bands applied to the oscillator.
Volume Filter Multiplier: Determines the threshold required for volume validation (e.g., 1.5 requires volume to be 50% above its moving average).
HTF Timeframe: Defines the higher timeframe used for macro-trend alignment (defaults to Daily).
Squeeze Angle Threshold: The maximum absolute angle permitted to trigger a volatility contraction state.
Trade Labels (Risk:Reward): Allows fine-tuning of the Stop Loss padding and the precise ratios for TP1, TP2, and TP3 targets.
🔍 Deconstruction of the Underlying Scientific and Academic Framework
This indicator relies on a robust foundation of applied mathematics and digital signal processing. The core methodology employs non-linear dynamic state estimation. Unlike standard moving averages that suffer from inherent group delay, the integration of algorithms akin to the Kalman filter allows the script to recursively project the next state of momentum and update that projection based on incoming price data. This minimizes lag while aggressively smoothing standard deviation anomalies.
Furthermore, the application of volatility banding (ATR) directly to an bounded oscillator (RSI) represents a shift from price-domain analysis to momentum-domain analysis. By calculating the variance of the momentum itself, the script acknowledges that momentum has its own distinct volatility profile, independent of price action. The kinematics of the trend are evaluated using trigonometric functions to derive the slope (velocity) and the rate of change of the slope (acceleration). This multidimensional approach ensures that signals are not generated merely by price crossing a threshold, but by a mathematically validated shift in the kinetic energy of the market.
⚠️ 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
Strong Supertrend Engine | ProjectSyndicateStrong Supertrend Engine maps the session around a Supertrend trend-stop and power-ranks the with-trend zones where price is most likely to continue, not reverse. Every session it reads one decision from the prior completed session's daily Supertrend — is the session open above the Supertrend a green, buy-only regime or below it a red, sell-only regime — and then projects an ATR-scaled ladder of reaction zones around the session open. On top of the zones it draws the session's best continuation setups as zone-to-zone arrows: in a green regime it points up from a pullback zone to a target zone; in a red regime it points down from a rally zone to a target below. The whole tool runs on one idea: trade dips with the trend, not against it — buy dips into support while the Supertrend is green, sell rips into resistance while it is red, and favor the stronger-graded zones.
This is the inverse of a fade tool. Across a broad multi-instrument study FX majors and crosses, gold and an index, fading stretched levels back to balance behaved like a coin flip, while with-trend pullback entries were the side that carried a modest, repeatable edge. Strong Supertrend Engine is built around that side.
🟢🔴 Summary how to trade this more details below, read entire guide. Best trade setups with this system is to buy dips, arrows highlight best entry zones / prices when price is trading above green ST zones. Likewise, sell rips, arrows highlight best entry zones on sell side / when price is trading below red ST zones. Detailed overview below. Run on lower TFs for best entries, i.e.
M5 M10 M15 M30.
🟢🔴 The Supertrend Regime the master switch — The session open versus the daily Supertrend sets the only bias that matters. Open above the Supertrend ⇒ the core stop band renders green and the engine shows BUY-ONLY setups buy the dips. Open below ⇒ the band renders red and the engine shows SELL-ONLY setups sell the rips. A close back through the Supertrend flips the regime and recolors everything. You never fight the band: green means look for longs, red means look for shorts.
🧲 The Session Basis auction center — Each session's zone ladder is anchored to the session open by default Prior HL2, OHLC4 or Close optional. Price spends the day auctioning around this basis, so the inner zones sit exactly where price actually trades and the outer zones mark a genuine stretch. The basis is also the natural first reference a with-trend pullback works back through.
📊 ATR-Scaled Zone Ladder — Five escalating tiers are projected above and below the basis at calibrated ATR offsets 0.12, 0.25, 0.40, 0.55, 0.75 × ATR by default, drawn as clean equal-height shaded bands. The spacing is deliberately pulled in to where price genuinely travels intraday a typical session covers roughly half an ATR from the open, so the inner tiers get tagged often and the outer tiers mark the real extremes. A global width multiplier and per-tier offsets let you reshape the geometry for any instrument or timeframe.
ES
🟩 The Core Supertrend Stop Band — The actual daily Supertrend value is drawn as a bold band — green support in an uptrend, red resistance in a downtrend. It is the trend's hard line: the trade thesis holds while price stays on the correct side of it, and a close through it is the regime flip and the natural hard stop.
🏷️ 0–10 Strength Grade & In-Zone Labels — Every zone carries a live 0–10 grade inside the band — the tier name with a ▲ / ▼ side marker, stars, the X.X/10 score and a tier word FORMING → WEAK → MODERATE → STRONG → ELITE. The grade blends tier extremity, volatility context, trend regime and with-trend alignment so the with-trend side is favored. Read it as a descriptive conviction ranking for which zone deserves attention — it is not a backtested win-rate.
WTI
🏹 Continuation Setup Arrows the signature feature — For the last N sessions, the engine selects the best 2–4 with-trend setups per session and draws each as a zone-to-zone arrow that spans several zones 3 by default, so each arrow shows a meaningful directional trade, not a one-tier hop. In a green regime arrows run up from a pullback/dip zone, through the open, to a target zone above; in a red regime they run down from a rally/rip zone to a target below. Each arrow is labeled with the entry→target zones, the R multiple of the move, and a star grade. Setups are ranked by regime strength + momentum alignment + clean pullback depth, so the strongest, best-located trades surface first.
📈 Laguerre PPO Momentum Confluence — A daily, non-repainting Laguerre PPO reads whether momentum agrees with the regime. It boosts the score of aligned setups and can be set as a hard filter so only momentum-confirmed setups print. Up-momentum strengthens buy-dip setups in a green regime; down-momentum strengthens sell-rip setups in a red regime.
BTC
⚙️ Uniform ATR Zone Height — Every tier shares one identical ATR-based thickness, centered on its level, for a clean, consistent look on any symbol or timeframe.
🎨 Regime & Strength Shading — Stronger zones render more opaque, weaker ones stay faint, and counter-trend zones are dimmed so the actionable with-trend side pops. Resistance tiers shade red, support tiers green, the core stop green/red by regime, and the arrows green for buys, red for sells. Arrow labels use black text for crisp readability on the colored tags.
🔒 Non-Repainting — Each session's regime, basis, zones, scores and arrows lock in from the completed prior session read with a confirmed offset and never change intraday. Zones span exactly one session and close cleanly at the boundary — no bleed into the next session. The last N sessions are kept default 10 and older ones are removed automatically.
Silver
📋 Live Dashboard — A compact panel reports the current Regime BUY-ONLY / SELL-ONLY, Momentum up / down, the number of setups this session, the Trend, the Supertrend stop price, ATR, the distance from price to the stop in ATR, and the trend age in sessions.
🔔 Native Alerts — Dedicated Buy Continuation Setups and Sell Continuation Setups alerts the moment a new session's setups print, plus zone-touch, strong-zone, extreme-tier, core-stop-tag and Supertrend-flip alerts.
🔧 Fully Customizable — Supertrend ATR length and factor, basis source, the five tier offsets and global width multiplier, zone thickness, the four scoring weights and their lookbacks, the score filter, the Laguerre fast/slow gammas and momentum-filter toggle, arrow count 2–4, arrow span zones, spacing, width, colors and labels, dashboard position/size, transparency and shading — all adjustable.
DAX
🎯 Why this is different — Most band tools draw static envelopes and leave you guessing which edge matters, and most "tops & bottoms" tools quietly ask you to fade strong moves. Strong Supertrend Engine does the opposite: it frames the session as a trend defined by the Supertrend, refuses to show counter-trend trades, and hands you the session's best with-trend continuation setups as labeled arrows from zone to zone. You read the regime green/red, the destination the arrow's target zone, and the conviction the score at a glance.
🚀 Apply to Gold XAUUSD, Silver, Forex, Crypto and Indices on any intraday timeframe.
🎯 How To Trade It — Two Approaches
Everything hinges on the regime: green Supertrend = buy dips only, red Supertrend = sell rips only. Never fade the band. Use the stronger-graded zones and the printed arrows to pick the best-located entry.
◾ 1 BUY DIPS in a Green Supertrend Regime — open above the green ST
This is the engine's core long thesis. The session open is above the green Supertrend, so the regime is BUY-ONLY and buy arrows point up from the dip zones toward higher targets.
▪️ Setup: wait for price to pull back / dip into a support zone below the open — prefer the stronger-graded zones higher score / more stars, ideally one a buy arrow points up out of, with Laguerre momentum up.
▪️ Entry: long on the dip into the zone, in the direction of the green regime the with-trend bounce.
▪️ Stop: below the entry zone — one tier deeper — with the green core Supertrend stop as the hard invalidation. A decisive close below the green ST flips the regime; the long thesis is then wrong, stand aside.
▪️ Targets: step up zone to zone toward the arrow's target each arrow spans ~3 zones — through the open into the upper tiers, banking partials at each tier and trailing with the trend.
⚖️ The cleanest version: price opens above a rising green Supertrend, dips into a STRONG/ELITE support tier, holds, and rotates back up through the open into the upper tiers — exactly the leg the arrow frames. The deeper-but-still-graded dips offer the better risk; the shallow ones trigger most often.
◾ 2 SELL RIPS in a Red Supertrend Regime — open below the red ST
The mirror image. The session open is below the red Supertrend, so the regime is SELL-ONLY and sell arrows point down from the rally zones toward lower targets.
▪️ Setup: wait for price to rally / rip into a resistance zone above the open — prefer the stronger-graded red zones higher score / more stars, ideally one a sell arrow points down out of, with Laguerre momentum down.
▪️ Entry: short on the rip into the zone, in the direction of the red regime.
▪️ Stop: above the entry zone — one tier higher — with the red core Supertrend stop as the hard invalidation. A decisive close above the red ST flips the regime; stand aside.
▪️ Targets: step down zone to zone toward the arrow's target through the open into the lower tiers, banking partials and trailing the move.
Rule of thumb: ⭐ Green Supertrend, open above it → buy dips into the stronger support zones, target the arrow's zones up. ⭐ Red Supertrend, open below it → sell rips into the stronger resistance zones, target the arrow's zones down. ⭐ When price closes through the Supertrend, the regime flips — wait for the new side before taking the next trade.
EURUSD
⚠️ IMPORTANT NOTICE: Strong Supertrend Engine frames a Supertrend-defined trend and ranks the best with-trend continuation setups. The 0–10 score is a descriptive conviction ranking, not a backtested win-rate, and the with-trend edge measured in study was modest — these zones and arrows are decision support, not a standalone trade trigger. Always combine them with your own strategy, price-action confirmation and risk management. Past behavior does not guarantee future results. Indicator
AI SuperTrend [PickMyTrade]THE PROBLEM WITH A FIXED MULTIPLIER
Every standard SuperTrend applies the same ATR multiplier across all market conditions — the same constant during a strong trending breakout, a narrow choppy range, and a volatility spike. A value calibrated for one regime is miscalibrated for the others. Most traders compensate by manually switching timeframes or parameters. This script automates that decision.
The question it asks: what if the ATR multiplier were selected from historical bars that most resembled the current market regime — matched by Hurst state and volatility rank — rather than set by the user as a fixed constant?
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THREE AI LAYERS
Layer 1 — Hurst Exponent (Regime Gate)
The Hurst Exponent is computed via Rescaled Range (R/S) Analysis. It measures the degree of long-range dependence (memory) in the price series:
H ≥ 0.55 → Persistent (trending) — SuperTrend active, signals enabled
H ≈ 0.50 → Random walk — candles turn gray, no signal generated
H ≤ 0.45 → Anti-persistent (mean-reverting) — signals suppressed
The Hurst gate is the first filter. Signals only fire when market structure is historically associated with persistence — not randomness or mean-reversion.
Layer 2 — Garman-Klass Volatility Rank
Garman-Klass (1980) estimates realized volatility from OHLC prices rather than close-to-close returns, capturing intrabar price range and making it more sensitive to volatility changes. The current reading is percentile-ranked against recent history (0–100%) and used as the second feature dimension for the KNN search.
Layer 3 — KNN Multiplier Optimizer
K-Nearest Neighbors searches a rolling memory bank of feature pairs from previous bars. For each current bar it finds the K most similar historical bars by Euclidean distance in that 2D feature space. From those neighbors it retrieves the ATR multipliers that were in effect — weighted by the profitability of the bar that followed. The result is the AI Multiplier: a context-aware value drawn from the most similar past conditions, not a fixed constant.
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WHAT YOU SEE ON THE CHART
Candle color — the defining visual. Orange = bull trend regime, blue = bear trend regime, gray = random walk or mean-reverting. The regime state is readable on every bar without checking the table.
Signals — ● (circle) marks trend flips with Hurst ≥ 0.65, the high-conviction threshold. ▲▼ (triangle) marks standard threshold crossings. No signal fires in gray (random or mean-reverting) regimes.
SL / TP lines — dashed lines drawn automatically at each signal bar, sized from current ATR × the AI Multiplier active at that bar.
Info table (top right) — live display of Hurst value, Regime label, Direction, AI Multiplier, Vol Rank, and KNN memory bar count. Shows WARMUP until KNN has stored enough bars to begin optimizing.
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HOW TO USE
A signal requires all three conditions to be true simultaneously:
KNN is warmed up (table shows ● LIVE)
Hurst confirms a trending regime (H ≥ Trend Threshold input)
Price is on the correct side of the EMA filter
Circle signals (●) indicate Hurst has exceeded 0.65 — stronger persistence than the standard threshold. Triangle signals (▲▼) are at the user-defined threshold. Gray candles indicate the market is not in a trending regime; reducing exposure or standing aside is appropriate during those periods.
The regime background shading (faint orange or blue fill) shows when the SuperTrend is in an active directional state.
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INPUTS
AI Engine — Hurst Lookback, KNN Neighbors (K), KNN Memory (bars), Trend Threshold, Mean-Revert Threshold
SuperTrend — ATR Length, Base Multiplier, Volatility Window, EMA Period
Visual — Bull/Bear colors, SL/TP lines toggle, SL ATR Multiplier, Risk:Reward ratio, Regime Background
Display — Zen Mode (hides labels and table), Show Info Table
ALERTS
Three alert conditions: Long Signal, Short Signal, Any Signal.
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NOTES
KNN requires warmup equal to the KNN Memory setting before the AI Multiplier activates. During warmup the base multiplier scaled by Hurst and volatility rank is used instead.
No repainting. All signals are confirmed on bar close. KNN stores lagged values only.
Garman-Klass citation: Garman, M. & Klass, M. (1980). On the Estimation of Security Price Volatilities from Historical Data. Journal of Business , 53(1), 67–78.
Indicator
Adaptive SuperTrend -, Regime Filter & Buy/Sell Signals [LunqFX]Adaptive SuperTrend is a self-tuning trend indicator for PulseWire that fixes the biggest flaw of the classic SuperTrend: a fixed multiplier that whipsaws in choppy markets and lags in fast ones. This version makes the SuperTrend multiplier adaptive — it automatically widens in high volatility and tightens in low volatility — and layers a regime filter and a momentum filter on top to deliver clean, non-repainting Buy/Sell signals with an automatic take-profit / stop-loss ladder and live performance stats. It works on forex, crypto, stocks, indices, futures, gold (XAUUSD) and Bitcoin (BTCUSD), on any timeframe, for scalping, day trading and swing trading. Built in Pine Script v6. Keywords: adaptive supertrend, supertrend, trend, trend following, buy sell signals, regime filter, ATR trailing stop, volatility, momentum, take profit, stop loss, risk reward, trend reversal, no repaint, scalping, day trading, swing trading.
◆ WHY ADAPTIVE
A normal SuperTrend uses one fixed multiplier for every market and every condition, so it gets shaken out in volatile phases and reacts too slowly in calm ones. Adaptive SuperTrend ranks current volatility against its own recent history (0–100%) and maps that onto a multiplier range — wide when the market is wild, tight when it is calm — with zero manual tuning. The same settings behave sensibly on EURUSD, BTCUSD and the S&P 500.
◆ WHAT IT DOES
Adaptive trend line + fill — a volatility-adjusted trailing stop that flips turquoise (up) / magenta (down).
Filtered Buy/Sell signals — a trend flip only fires as a signal when two filters agree.
Auto TP/SL ladder — on every signal it draws the stop (on the trend line) and TP1 / TP2 / TP3 at 1R / 2R / 3R, so you get a complete trade plan instantly.
Conviction Score 0–100 — one number summarising how strong the current setup is.
Live win-rate stats — the script tracks its own past signals on the fly.
Neon trend candles + a clean live dashboard.
◆ HOW IT WORKS (the concepts)
Adaptive multiplier: ATR is ranked by percentile over a lookback window; the percentile sets the SuperTrend multiplier between your min and max.
SuperTrend core: the standard trailing-stop formula, flipping direction when price closes beyond the band.
Regime filter (Kaufman Efficiency Ratio): directional travel divided by total path = how trending vs choppy the market is. Signals are blocked in low-efficiency (range) conditions to cut false signals.
Momentum check: a flip is only taken when price is on the matching side of its momentum EMA.
Conviction Score: a weighted blend of trend efficiency, momentum agreement and trend-line slope (0–100).
Live stats: each signal is tracked sequentially — a “win” = price reaches TP1 (1R) before the stop — with no lookahead.
◆ HOW TO USE IT
Take BUY / SELL labels in the direction of the new trend; the SL and TP1/2/3 ladder give you the exact plan and risk/reward.
Favour signals with a high Conviction Score and a TRENDING regime; stand aside when the dashboard shows RANGE.
Manage the trade to TP1/TP2/TP3 or trail with the adaptive line.
Tune Min/Max multiplier for tighter or looser stops and Efficiency threshold for how strict the range filter is.
Combine with your own support/resistance, structure or higher-timeframe bias for confluence.
◆ SETTINGS
Adaptive Trend: ATR length, min/max multiplier, volatility window.
Regime Filter: on/off, efficiency length, trend threshold.
Momentum Check: on/off, momentum EMA.
Visuals: trend fill, glow, neon candles, Buy/Sell labels.
Trade Levels & Stats: auto TP/SL ladder, live signal stats.
Panel: show/hide, position, background, accent.
◆ ALERTS
Buy signal · Sell signal · Trend flip up · Trend flip down.
◆ ORIGINALITY
The SuperTrend trailing-stop formula is a standard, public technique, implemented here from scratch. The adaptive volatility-percentile multiplier, the regime filter integration, the Conviction Score, the R-based TP/SL ladder and the live win-rate engine are my own original work. No third-party or copied code is used.
◆ LIMITATIONS
This is a trend/volatility tool, not a complete system — always confirm with price action and risk management.
Like all trend-following tools, it can chop in tight ranges; the regime filter reduces but cannot eliminate this.
The fixed-R stop in the ladder is a planning aid (constant 1R), separate from the trailing adaptive line — they are different stops by design.
The live win-rate is the indicator’s own TP1-vs-stop estimate; if a single bar tags both the stop and TP1 it is counted as a win, so treat the stat as indicative, not exact.
Past performance and live stats do not guarantee future results.
◆ NON-REPAINTING
Trend, regime, signals and stats are computed from confirmed bar data with no security() lookahead. A signal printed on a closed bar stays. As with any live tool, the forming bar updates in real time and settles on close.
Adaptive SuperTrend is an educational analysis tool, not financial advice. Always do your own research and manage risk. © LunqFX. Indicator
Modern Adaptive Supertrend [GBB]Modern Adaptive Supertrend
Supertrend is probably the most copied trend indicator on PulseWire. Most of the copies inherit the same handful of weaknesses so this is my attempt to fix the ones worth fixing, test the result properly, and be straight about the fix that didn't pan out.
If you have used the classic Supertrend you already know the idea. It is a volatility-based trailing line. It sits below price in an uptrend, above price in a downtrend, and it flips when price closes through it. Simple, fast to read, works on any chart. That simplicity is why it spread everywhere, and it is also where the trouble starts.
WHAT GOES WRONG WITH THE CLASSIC VERSION
Three things. The distance from price never adapts, so a clean trend and a sideways mess get treated exactly the same. The lookback never changes speed. And it flips on a single touch, so one wick through the line flips your bias and the next bar flips it back. That last one is the whipsaw everyone complains about. Run the classic as an always-in system on the 1h or below and in my testing it bleeds out. It only really holds up at 4h and above, where the trends are big enough to pay for all the flipping.
WHAT THIS VERSION DOES DIFFERENTLY
Two changes that work (and one that didn't but I left in place for you to experiment with)
The commit filter . This is the one that did the real work. Instead of flipping the moment price tags the line, price now has to close past it by a margin, about half an ATR by default, and optionally hold for a bar before the flip counts. That single change cut false flips by roughly 60% across the timeframes I tested. Same trend read, far less noise.
The adaptive distance . The band widens when the market is trending cleanly so it holds the move instead of shaking you out, and it also widens in chop, because a tight band in a range is a whipsaw machine. The only place it tightens is the transition, when a new move is just starting and you actually want it responsive. It judges trend versus chop against the market's own recent behaviour rather than a fixed threshold, because fixed thresholds do not travel well on crypto. I found that out the hard way.
The one that didn't work . I also built an adaptive lookback that was meant to let the indicator change speed with the market's rhythm. It added nothing. On crypto the rhythm turned out stable enough that adaptive just gave me a slower copy of the same line. It is still in the settings as an experimental toggle, switched off by default. Maybe you can find a tweak to make this feature work? If yes send me a DM :-)
One thing to be clear about before the settings. This is a trend filter, not a trading system. On raw direction it is right about 48% of the time, which is a coin flip, because Supertrend follows trend, it does not predict it. The value is in a cleaner trend read and lower drawdown, not in calling tops and bottoms. More on that at the bottom.
SETTINGS
Preset
Classic, Modern, or Custom. Classic is the textbook indicator, unchanged, so you can put it side by side. Modern is the default and what I recommend. It is timeframe aware: on 1h and below it runs both the adaptive distance and the commit filter, and above 1h it runs the commit filter only, because the adaptive distance did not add anything at higher timeframes in testing. Custom lets you toggle the layers yourself.
Commit filter (hysteresis)
- Commit buffer: how far past the line price has to close before a flip counts, measured in ATR. Default 0.5. Higher means fewer flips and slower turns.
- Persistence: how many closed bars the break has to hold before it flips. Default 1.
Adaptive distance (regime multiplier)
- Trend gain: how much wider the band gets in a clean trend. Default 0.8.
- Chop gain: how much wider it gets in a range. Default 0.5.
- Percentile window: how much recent history it uses to judge trend versus chop. Default 500 bars. Shorter reacts faster but is jumpier.
Adaptive period (experimental, off by default)
Turns on the adaptive lookback described above, with min and max clamps on the range. The defaults are in there, but as I said, it did not improve results. Leave it off unless you want to poke at it yourself.
Classic settings
ATR period and multiplier. Used by the Classic preset and as the base the other layers build on. Defaults 10 and 3.
Display
Direction-coloured line, an optional fill between price and the line, and flip markers. There is also an optional regime readout that shows whether the engine currently sees trend or chop. Off by default to keep the chart clean. Turn it on if you want to see what it is "thinking".
Alerts
Separate flip-up and flip-down conditions, plus an optional JSON payload if you want to wire it into a webhook.
HOW TO USE IT
As one input, not the whole decision. It answers a single question, which way is the trend leaning right now, with less noise than the classic gives you. It does not tell you where to enter or where price goes next. Use it to set your bias, then bring your own levels, structure, or entry trigger for the rest. Treating a trend filter as an entry system is how people lose money with a tool that is working exactly as designed.
Indicator
APEX Trend & Signal Engine [Viprasol]APEX Trend & Signal Engine — Regime-Aware Dual-Mode Toolkit
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THE PROBLEM IT SOLVES
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The single most expensive mistake in trading is using the wrong style for the
conditions — trend-following a sideways range (death by a thousand whipsaws), or
mean-reverting a strong trend (fighting a freight train). Most indicators apply ONE
style blindly and let you find out the hard way.
APEX reads the market REGIME first, tells you which style fits right now, and only
fires signals that match. When the market is trending it trend-follows; when it's
ranging it mean-reverts. Same tool, opposite logic, applied at the right time.
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HOW THE FOUR PILLARS WORK TOGETHER
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Every trade decision rests on four questions, and APEX answers each:
1. BIAS — long or short? A multi-factor Trend Midline (your choice of 8 MA types)
colored by a consensus of price position, slope, and directional movement.
2. REGIME — trend or range? ADX + Kaufman Efficiency Ratio classify the regime and
pick the favored mode (trend-follow vs mean-revert). This is the engine's core.
3. LOCATION — where is fair value? A premium/discount model: longs are only allowed
in discount (below equilibrium), shorts only in premium (above). Better entries,
better risk-reward.
4. SIGNAL + FILTER — the trigger, gated by regime, location, and trend-cloud
confluence, so low-quality signals are filtered out.
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SIGNALS
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• In a TRENDING regime: momentum entries in the trend direction (baseline reclaim with
rising/falling slope and directional-movement agreement).
• In a RANGING regime: mean-reversion entries when price tags an extreme band and
reverts.
• A colored dot marks a confluent signal; a gray ✕ marks a signal that LACKS confluence
(a hint to exit the opposite position rather than enter).
• Take-profit markers flag when price reaches an ATR-based target after a signal.
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FOUR OPTIONAL OVERLAYS
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• TREND MIDLINE — an MA baseline colored by multi-factor consensus (blue long / red
short / gray neutral-exhaustion), filled to price.
• ADAPTIVE ZONE — a Supertrend rendered as a dynamic support/resistance ZONE (support
beneath price in uptrends, resistance above in downtrends) rather than flip signals.
• TREND CLOUD — a modified Ichimoku Kumo (Donchian, EMA, or HMA engine) for trend
context; bullish above, bearish below.
• EXTREME ZONES — multi-band standard-deviation gradient zones marking where price is
statistically stretched and prone to revert (mean-reversion).
Each is independently toggleable so you keep the chart as clean as you like.
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5-STATE CANDLE COLORING & DASHBOARD
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Candles paint in five states from a 0-10 trend-strength score: strong buy, buy,
neutral, sell, strong sell (strong states solid, weaker states faded).
The dashboard reports, at a glance: Favored Mode (trend-follow / mean-revert), Regime
(trending/ranging + bias), Trend (increasing/decreasing), Strength (0-10), Volatility
(increasing/decreasing), Location (premium/discount), Session (Tokyo/London/NY/Void),
and the current Signal.
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HOW TO USE
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1. Leave Mode on "Auto" and read the dashboard's Favored Mode — trade with the regime.
2. Take colored signals that agree with the trend; treat gray ✕ marks as exit cues.
3. Respect Location — favor longs in discount, shorts in premium.
4. Use the Adaptive Zone / Extreme Zones as entry and target reference levels.
5. Tune Trend/Fast lengths and the ADX threshold to your market and timeframe.
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HONEST LIMITATIONS — PLEASE READ
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• No indicator predicts the future. APEX organizes context and signals; it does not
guarantee outcomes. Confirm on closed bars.
• Regime classification has a transition lag — the first bars of a new trend or range
can be mislabeled. The favored-mode readout is guidance, not gospel.
• Session hours are set in UTC and adjustable; verify they match your instrument.
• Volume-dependent and synthetic-feed instruments may read differently.
• Take-profit markers use a simple ATR target on one tracked signal — they are a
reference, not a backtest. This is a decision-support tool, not financial advice.
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CREDITS & ORIGINALITY
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This is an original toolkit built from public-domain technical-analysis methods,
implemented from their published formulas: Supertrend (Olivier Seban), Ichimoku Kinko
Hyo (Goichi Hosoda), Bollinger Bands / %B (John Bollinger), ADX/DMI (J. Welles Wilder),
Efficiency Ratio (Perry Kaufman), and the premium/discount equilibrium concept. The
regime-aware dual-mode architecture, the confluence/location gating, the strength model,
the overlays' construction, and all code are original Viprasol work. No third-party Pine
code is reused and no proprietary algorithms are included.
Indicator
Multi-TimeFrame Multi-Indicator Dashboard🚀 Multi-Timeframe Multi-Indicator Market Structure Dashboard
🟢 Overview
The **Multi-Timeframe Multi-Indicator Dashboard** is an all-in-one market scanner designed to give traders an immediate, high-level view of an asset's trend across multiple layers of time. Instead of constantly flipping between charts or cluttering your workspace with dozens of indicators, this script compiles key moving averages, momentum oscillators, and volatility indicators into a single, highly readable table directly on your primary workspace.
This tool is optimized for **Equities, Forex, Crypto, Indices, and Commodities traders** who rely on multi-timeframe confluence to confirm high-probability trade setups and eliminate analysis paralysis.
---
🛠️ Key Features
**Multi-Timeframe Confluence Matrix:** Instantly track market structure across 6 default timeframes: **5M, 15M, 1H, Daily, Weekly, and Monthly**.
**8 Integrated Technical Metrics:**
**Trend Identification:** SMA 9, SMA 20, SMA 50, SMA 100, and SMA 200.
**Momentum & Volatility:** Relative Strength Index (RSI 50-line crossover), MACD Histogram (bullish/bearish momentum shifts), and SuperTrend.
**Fully Customizable Layout:** Toggle specific timeframes or indicators on/off via the user inputs menu to perfectly match your trading style. You can also change the table position (e.g., top-right, bottom-left) and text size.
**Smart Alert Engine:** Configure the script to send real-time alerts the exact moment an indicator shifts states (Bullish $\leftrightarrow$ Bearish) on your primary timeframes.
---
🎛️ Settings & Customization
1. **Dashboard Display:** Control the visibility, positioning anchor (top-right, bottom-right, top-left, bottom-left, middle-right, middle-left), and text scaling of the canvas table.
2. **Timeframes to Display:** Toggle individual columns to focus strictly on scalping or macro swing horizons.
3. **Indicators to Display:** Strip out unnecessary lines to match your personal strategy components.
4. **SuperTrend Settings:** Manually adjust the ATR Length and Multiplier inputs for tighter or wider trend bands.
---
📝 Disclaimer
This indicator is built purely for analytical visualization and informational purposes. It does not constitute financial advice. Always practice strict risk management and combine dashboard confirmation with your own broader trading plan. Indicator
Indicator
Multi-Strategy Portfolio Optimizer [LuxAlgo]The Multi-Strategy Portfolio Optimizer indicator is a comprehensive quantitative tool that evaluates 9 distinct trading setups across trend-following, momentum, and mean-reversion categories to construct an optimized, equally-weighted portfolio.
🔶 USAGE
This script aims to help users identify which trading methodologies are currently performing best on a specific ticker and timeframe, while simultaneously monitoring how well those strategies diversify each other to create a smoother equity curve.
🔹 Strategy Selection & Evaluation
The optimizer evaluates three unique parameter variations for each of the following 9 strategy types:
Supertrend & EMA Crossovers: Captures sustained directional trends.
MACD & CCI: Focuses on momentum shifts and overextended breakouts.
Donchian Channels: Classic breakout logic based on price extremes.
RSI Trend: Uses RSI levels to confirm momentum direction.
RSI Rev, Bollinger Bands & Stochastic: Targets mean-reversion and overbought/oversold exhaustion.
The tool automatically selects the "Best Setting" for each category by comparing the cumulative performance of all three variations across the available chart history. Only the top-performing variation from each category is included in the final portfolio calculation.
🔹 Equity Dashboards
The indicator features two primary visual interfaces to monitor performance and risk:
Floating Curves Box: Displays a real-time equity curve of the total portfolio (thick white line) against the individual active strategies (faded colored lines). This allows users to see the recent performance stability over a user-defined lookback.
Correlation Heatmap: Analyzes the statistical relationship between active strategies. This table uses color-coding to show how similar or different strategy returns are, providing a "Diversification Grade" (e.g., Excellent, Good, Poor) to help users avoid over-exposure to a single market regime.
🔹 Trade Visualization
Users can enable "Show Past & Open Trades" to audit the simulated performance directly on the price action. The script plots entry lines and shaded ATR-based Stop Loss (red) and Take Profit (green) zones for both currently active and historical trades.
🔶 DETAILS
🔹 Best Setting Logic
For every strategy category, the script runs three parallel simulations with different sensitivity settings. The "Best Setting" displayed in the dashboard is the variation that has achieved the highest cumulative percentage return since the beginning of the chart.
🔹 Portfolio Calculation (Equal Weight)
The Portfolio Equity Curve is calculated by averaging the cumulative returns of all active "best" setups on a bar-by-bar basis. This simulates an equally weighted allocation where the capital is distributed evenly across all chosen trading methodologies, aiming to reduce the drawdown typically associated with a single-strategy approach.
🔹 Diversification & Correlation
The Heatmap calculates a Pearson correlation coefficient over a rolling 100-bar window for every pair of active strategies.
Correlation > 0.7 (Red): Strategies are moving in lockstep, offering little diversification.
Correlation near 0 (Yellow): Strategies are independent, providing healthy diversification.
Correlation < -0.2 (Green): Strategies are inversely correlated, which can significantly hedge portfolio volatility.
🔹 Auto-Scaling Polylines
The floating curves dashboard uses a dynamic normalization algorithm. It captures the highest and lowest equity values within the user-defined lookback (Curves Length) and scales them to fit within the box height. This ensures the curves remain visible and proportional regardless of whether the returns are 1% or 100%.
🔶 SETTINGS
🔹 Strategies
Enable : Toggles whether a specific strategy category is evaluated and included in the portfolio math.
🔹 Risk Management
Enable Stop Loss & Take Profit: Toggles the ATR-based exit engine.
ATR Length: The period used for calculating volatility-based exits.
Stop Loss / Take Profit Mult: The multipliers that define the distance of exit targets from the entry price.
Show Past & Open Trades: Visualizes the execution zones on the chart.
🔹 Dashboard
Main Dashboard / Correlation Heatmap: Toggles the visibility of the tables.
Position: Moves the UI elements to different corners of the chart.
Curves Length: Determines the lookback for the floating equity chart.
Curves Vertical Position: Allows you to pin the curves box to the Top, Middle, or Bottom of the price range.
Curves Box Height (%): Adjusts the vertical scale of the equity chart relative to the price action.
Size: Controls the scale of the text and tables (Tiny to Huge). Indicator
Alpha Signal Engine Pro [MarkitTick]🎁 Our gift to the PulseWire community.
This indicator was previously available as a paid, invite-only tool. Today, it is permanently and unconditionally free — open to every trader on PulseWire without restriction, without a subscription, and without an expiration date.
No catch. No trial period. Ours to you, forever.
💡A comprehensive trend-following and market-state detection framework . It operates by generating a dynamic, volatility-adjusted trailing band that reacts not just to price movements, but to the shifting structural regimes of the asset. By analyzing True Range, historical price percentiles, and momentum simultaneously, this indicator filters out market noise and isolates high-probability directional shifts. It inherently guards against false signals during flat or consolidating markets through a multi-layered filtering matrix, ensuring that traders are presented with actionable data only when strict momentum and structural conditions are met.
● ✨ Originality and Utility
Most trend-following systems rely on static multipliers or fixed lookback periods, rendering them susceptible to sudden market regime changes. The primary utility of this engine lies in its adaptive nature. It introduces a Volatility Fingerprint module that constantly scans the environment, classifying the market into distinct regimes: Alpha, Beta, Gamma, and Delta. Based on this continuous assessment, the indicator autonomously scales its sensitivity, smoothing depth, and filter thresholds. This means the engine tightens its criteria during erratic, low-liquidity chop and expands its bands during high-volatility expansions, providing an organic, self-adjusting framework that eliminates the need for constant manual parameter tuning.
● 🔬 Methodology and Concepts
• Dynamic Trailing Core
At the heart of the engine is a composite distance formula that calculates a dynamic half-band. Instead of relying solely on a basic Average True Range (ATR) multiplier, it combines three elements: an absolute band multiplier, an ATR weight normalized against the closing price, and a raw price move weight. This composite value is then smoothed using an Exponential Moving Average (EMA) alpha factor. The resulting smoothed band is applied to the median price to establish upper and lower boundaries, forming the basis of the trendline.
• Volatility Fingerprinting
The script normalizes the ATR as a percentage of the closing price and ranks it against a historical lookback window using non-parametric percentile thresholds. By splitting the historical distribution into quartiles (25th, 50th, and 75th percentiles), the asset's current volatility is placed into a specific bucket. The core mathematical weights and matrix thresholds are then dynamically multiplied by regime-specific scalars.
• Alpha Filtering Matrix
To prevent whipsaws, the script employs a five-layer matrix that acts as a logical gatekeeper before any signal is validated:
- Trendline Stall: Measures the absolute change in the trendline against a fraction of the ATR.
- Slope Regression: Computes the linear regression slope of the trendline over a rolling window and normalizes it.
- Volume Gate: Compares current volume to a dynamic simple moving average of volume.
- Range Gate: Checks if the current bar's High-Low range exceeds a specific historical percentile.
- Basis Point (BPS) Delta: Ensures the trendline shift meets a minimum percentage threshold.
• Breakout Override
If the market suddenly explodes with extreme momentum, a Breakout Override function bypasses the filtering matrix. If the absolute change in price heavily exceeds a set multiple of the ATR, the system immediately forces engagement to capture the breakout.
● 🎨 Visual Guide
• Dynamic Trendline
A solid line plots the active trailing stop and trend direction. By default, it is colored Cyan for a Bullish trend and Magenta for a Bearish trend. This line steps up or down along with price action, providing a clear visual anchor for the current structural bias.
• Dynamic Bar Coloring
The chart's candlesticks are dynamically colored using a visual gradient. The script measures the normalized distance of the closing price from the trendline. When price is near the trendline, candles assume a neutral slate-blue tone. As momentum carries price further away, the color interpolates into bright Cyan (Bullish) or Magenta (Bearish), immediately illustrating trend strength.
• Cloud Fill
A semi-transparent cloud is drawn between the primary trendline and a smoothed moving average of the typical price. This creates a visual "value zone" on the chart, helping users quickly identify the spatial relationship between the current trend anchor and the smoothed price core.
• HUD Dashboard
A comprehensive heads-up display is positioned in the top-right corner of the chart. It outputs real-time diagnostic data:
- Direction: Displays the current structural bias (Bullish/Bearish).
- Signal: Indicates if an actionable Buy or Sell signal is present.
- Override: Shows the status of the Breakout Override (Off, Nominal, or Engaged in Orange).
- Matrix Pillars: Five rows display the status of the Stall, Slope, Volume, Range, and BPS Delta filters. A Red "Flat" tag indicates the filter is blocking signals, while a Green "Active" tag indicates the path is clear.
- VF Regime: The bottom row explicitly states the current volatility state (Alpha, Beta, Gamma, or Delta) with corresponding color codes.
• Signal Labels
When a directional flip occurs and the matrix conditions are met, explicit "BUY" (Upward pointing, subtle green) or "SELL" (Downward pointing, subtle red) labels are plotted precisely at the trendline level.
• Non-Standard Chart Warning
If the user applies the script to Heikin Ashi, Renko, Line Break, Kagi, or Point & Figure charts, a bold Red warning table will appear in the top-left corner. This warns the user that standard signals may repaint due to the synthetic price data of non-standard charts.
📌 Note : the best way to resolve visual overlap is to navigate to the Object Tree and drag the indicator above the main chart layer, or simply hide the native candles in your chart settings.
● 📖 How to Use
• Identifying Entries
Wait for a clear crossover of the closing price over the dynamic trendline. For a valid entry, ensure the HUD Dashboard confirms the matrix conditions are "Active" and not "Flat." The emergence of a defined BUY or SELL label serves as the primary action trigger.
• Managing the Trade
Once in a position, the dynamic trendline serves as a logical trailing stop-loss level. As the trendline steps in the direction of the trade, users can manually trail their risk. The color gradient on the bars provides a secondary gauge; fading colors suggest weakening momentum and a potential reversion to the mean.
• Regime Awareness
Monitor the VF Regime status on the dashboard. In "Alpha" or "Beta" (lower volatility), expect tighter bands and slower movements. In "Gamma" or "Delta" (extreme volatility), be prepared for wider stops and aggressive price action. The indicator will automatically handle the mathematical adjustments, but position sizing should reflect the increased environmental risk.
• Repaint Warning Note
Always utilize this indicator on standard candlestick or bar charts. The underlying calculations depend on absolute close, high, and low values. Applying this to Heikin Ashi will cause lookahead bias and repainting signals.
🏆 Golden Rule — Before You Trade This Indicator:
Never rely on the default settings, every asset behaves differently. Every timeframe has its own rhythm. Default settings are a starting point — not a strategy.
The best configuration is the one you build yourself, through deliberate testing:
Adjust the settings methodically until false signals are minimized and entry/exit accuracy is maximized.
Test on your specific asset. Test on your specific timeframe. Then lock in what works.
The trader who takes time to configure is the trader who profits consistently.
● ⚙️ Inputs and Settings
• Volatility Fingerprint Group
Allows users to toggle the adaptive engine on or off, and set the lookback length used to determine the historical percentiles for regime classification.
• Core Engine Parameters
Controls the baseline foundation. Adjust the ATR period, the absolute Band Multiplier, the relative ATR Weight, the Price Move Weight, and the EMA Smoothing Length. When VF is enabled, these act as the baseline from which multipliers scale.
• Alpha Filtering Matrix
Provides granular control over the five anti-chop filters. Users can toggle each filter independently and adjust their strictness, such as the Flatness Threshold, Regression Length, Slope Threshold, Volume MA Length, and Range Percentile.
• Display & Cloud Configuration
Permits full aesthetic customization of the Bull/Bear colors, neutral gradient tones, visibility of the dashboard, signal labels, and the transparency parameters of the cloud fill.
• Alert Actions
Customizable string inputs that feed directly into the JSON webhook alert system, allowing automated traders to define syntax for Long, Short, Close Long, and Close Short actions.
● 🔍 Deconstruction of the Underlying Scientific and Academic Framework
• Autoregressive Smoothing and Moving Averages
The system employs an Exponential Moving Average (EMA) to smooth its dynamic raw band. The mathematical alpha factor is defined as 2 / (N + 1), where N is the user-defined smoothing length. This recursive formula assigns geometrically decreasing weights to older observations, ensuring the trendline remains highly responsive to recent price vectors while mathematically filtering high-frequency noise.
• Non-Parametric Rank Statistics
To evaluate the volatility state, the script calculates the nearest-rank percentile of the normalized ATR over a rolling window. Unlike standard standard-deviation bands (such as Bollinger Bands) that assume a normal Gaussian distribution of returns, this non-parametric percentile approach does not assume normality. This is statistically robust for financial time series, which exhibit leptokurtic (fat-tailed) distributions, ensuring accurate classification even during severe market outliers.
• Linear Regression and Slope Normalization
The Slope Filter relies on the Ordinary Least Squares (OLS) linear regression of the trendline. By calculating the change between the current linear regression value and the previous bar's value, it extracts a pure mathematical slope. To make this slope asset-agnostic, it is normalized by dividing the raw slope by the ATR, yielding a dimensionless ratio that accurately represents directional velocity regardless of the instrument's absolute price.
⚠️ 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
RSI Overpowered [Cartel Console]# RSI Overpowered
RSI Overpowered is a momentum and volume-pressure analysis tool designed to provide a broader view of market strength by combining multiple volume-based market internals into a single composite oscillator framework.
Instead of relying solely on traditional price-based RSI calculations, this indicator incorporates Relative Strength Index calculations derived from Positive Volume Index (PVI), Negative Volume Index (NVI), and On-Balance Volume (OBV). These components are blended into a Composite RSI that aims to highlight shifts in participation, accumulation, distribution, and momentum conditions.
The indicator includes multiple layers of analysis:
• Composite RSI built from PVI, NVI, and OBV RSI values
• Smoothed signal line for trend and momentum comparison
• Secondary RSI oscillator derived from the composite calculation
• Configurable overbought and oversold zones
• Trend filtering using Supertrend methodology
• Bullish and bearish momentum signals with trend confirmation
• Divergence detection between price and the Composite RSI
• Dynamic area fills and visual momentum shading
• Built-in alert conditions for key events
### How It Works
The script first calculates three independent volume-based indexes:
• Positive Volume Index (PVI)
• Negative Volume Index (NVI)
• On-Balance Volume (OBV)
An RSI is then calculated for each component. The average of these values forms the Composite RSI, which is subsequently smoothed to reduce noise and improve readability.
A secondary RSI oscillator is generated from the Composite RSI itself, creating an additional layer of momentum analysis that can help identify shifts in directional strength.
### Trend Confirmation
To reduce counter-trend signals, the indicator incorporates a Supertrend-based trend filter.
Bullish momentum signals are generated only when the trend filter indicates a bullish environment.
Bearish momentum signals are generated only when the trend filter indicates a bearish environment.
This approach helps align momentum events with broader directional market conditions.
### Divergence Detection
The indicator automatically searches for potential divergences between price action and the Composite RSI.
Bullish divergence may occur when price forms a lower low while the Composite RSI forms a higher low.
Bearish divergence may occur when price forms a higher high while the Composite RSI forms a lower high.
Divergence signals are visualized directly on the oscillator using pivot-based detection logic.
### Visualization Features
• Composite RSI line
• Smoothed signal line
• Dynamic momentum fills
• Overbought and oversold markers
• Trend-filtered signal circles
• Divergence labels and connecting lines
• Momentum gradient visualization
### Alerts Included
• Bullish Momentum Signal
• Bearish Momentum Signal
• Overbought Event
• Oversold Event
### Notes
This indicator is intended for market analysis and educational purposes only. Signals, divergences, trend filters, and oscillator conditions should be used alongside a complete trading plan and appropriate risk management techniques.
No indicator can guarantee future market outcomes, and all market decisions remain the responsibility of the user.
Indicator
Supertrend Parameter Sensitivity 3D [LuxAlgo]The Supertrend Parameter Sensitivity 3D indicator is a powerful optimization tool that executes 100 simultaneous Supertrend backtests bar-by-bar to visualize how different ATR Lengths and Multipliers impact performance across various metrics.
By projecting this data onto a 3D surface and a heatmap dashboard, it allows traders to identify "stable" parameter zones and avoid over-optimized "peaks" that may lead to curve-fitting.
🔶 USAGE
This tool is designed to help traders find the most robust settings for the Supertrend indicator on any given timeframe or asset. Instead of manually guessing settings, users can see a holistic view of the parameter space.
🔹 3D Surface Projection
The 3D surface is rendered directly on the chart, where the X-axis represents the Multiplier, the Y-axis represents the ATR Length, and the Z-axis (height) represents the chosen performance metric.
Gold Highlight: Marks the absolute "Best" parameter combination based on the selected metric.
Blue Highlight: Marks the "Stable Area," which is the region where the average performance of a 3x3 parameter window is highest. This helps identify settings that remain profitable even if market conditions shift slightly.
🔹 Optimization Dashboard
The dashboard provides a detailed heatmap of the 100 tested combinations.
Value Distribution: An ASCII histogram at the top shows the distribution of all results, helping you understand if the "best" setting is an outlier or part of a consistent trend.
Heatmap Matrix: Displays the exact values for every combination. Hovering over any cell in the table reveals a tooltip with specific data, including the total number of trades for that combination.
Color Scaling: The colors are normalized relatively. Green represents the best results in the current set, while red represents the worst, allowing for clear visual distinction even if all results are negative or positive.
🔶 DETAILS
🔹 Bar-by-Bar Evaluation
The script manages 100 independent Supertrend states simultaneously. On every bar, it calculates the ATR and trailing stop levels for every combination in the sensitivity matrix. It simulates "Always-in-Market" trades (flipping long/short on direction changes) to track performance data without needing a separate strategy execution.
🔹 Optimization Metrics
Users can choose from 9 different metrics to optimize the 3D surface and Dashboard:
Win Rate: Percentage of trades that resulted in a profit.
Net Profit: Total gross profit minus total gross loss.
Profit Factor: Ratio of gross profit to gross loss.
Total Trades: The raw volume of signals generated.
Average Trade: The mean percentage return per trade.
Reward/Risk Ratio: The average win divided by the average loss.
Gross Profit: Total sum of all winning trades.
Total Wins: The absolute count of profitable trades.
Win/Loss Ratio: The count of wins divided by the count of losses.
🔶 SETTINGS
🔹 Main Indicator
ATR Length: The length used for the primary Supertrend line plotted on the chart.
Multiplier: The multiplier used for the primary Supertrend line plotted on the chart.
🔹 Sensitivity Ranges
Length Start: The starting ATR length for the 10x10 matrix.
Length Step: The increment added to the length for each subsequent row.
Multiplier Start: The starting Multiplier for the 10x10 matrix.
Multiplier Step: The increment added to the multiplier for each subsequent column.
🔹 Optimization
Metric: Selects the performance data used to determine the Z-height of the surface and the colors of the heatmap.
🔹 3D Surface Style
High/Low/Wire/Stable Colors: Customize the visual appearance of the 3D projection.
X/Y/Z Spacing & Scale: Adjusts the physical dimensions and height of the 3D surface on the chart.
🔹 Dashboard
Enable Dashboard: Toggles the visibility of the heatmap table.
Position/Size: Controls where the dashboard appears and how large it is on the screen.
Indicator
Calibrated Supertrend Strength-Graded & Multi-Timeframe## Calibrated Supertrend — Confirmed, Strength-Graded & Multi-Timeframe (ST ARC)
### What it is
A Supertrend rebuilt to fix the three things that frustrate everyone who uses the
plain version, and to tell you **how trustworthy each trend flip is** before you act
on it. A classic Supertrend uses a **fixed ATR multiplier** (an arbitrary guess that
whipsaws in volatile markets and lags in calm ones), it **flips on noise** (every
marginal poke through the band reverses it), and it gives you **no sense of quality**
(a great flip and a junk flip look identical). ST ARC addresses all three, then
scores every flip 0–100 and — crucially — **calibrates that score to what actually
happened on this symbol**, so the number is accountable rather than decorative.
It runs on **any symbol, asset class, timeframe and market**. The raw data source
and every optional feed are user-selectable; nothing is hard-coded to a market.
### Why these components are combined (mashup rationale)
Each layer removes one specific, nameable failure of the plain Supertrend and feeds
the next — none is decorative:
1. **Adaptive multiplier** — the band width is no longer fixed. The ATR multiplier
becomes a series that scales with a **volatility rank** (how high current ATR
sits versus its own recent history): wider when volatility is high to cut
whipsaw, tighter when calm, and wider still when trend **efficiency** is low
(choppy tape). The ATR *length* can also adapt to the measured dominant cycle.
2. **Confirmation gate (de-whipsaw)** — a raw flip is only **confirmed** when the
close breaches the prior band by a minimum fraction of ATR *and* a minimum number
of bars have passed since the last flip, evaluated on closed bars
(non-repainting). This fixes the "flips on noise" problem.
3. **Regime classifier** — efficiency ratio + trend strength + a volatility-cluster
measure label the market Trend / Range / Volatile, so flips are trusted or
discounted by context.
4. **Multi-timeframe agreement** — three higher-timeframe Supertrends (multiples of
your chart timeframe) are read with no repainting and counted for agreement; a
signal that all higher timeframes oppose can be vetoed.
5. **Flip-strength score + conviction with hard vetoes** — at each flip a 0–100
strength is built from breach depth, trend strength, efficiency, MTF agreement,
regime alignment, volume thrust and volume delta, then gated by hard vetoes
(volatility spike, higher timeframes opposed, a fresh flip inside a chop regime,
cross-asset conflict). The output is one verdict plus a strength grade.
Remove any single layer and a specific Supertrend failure returns — that is the
justification for combining them.
### How it is original
ST ARC keeps a **self-calibrating quality engine**. It records every confirmed flip
and, a fixed window later, checks whether price actually ran a **favourable target
(measured in ATR)** in the flip's direction — i.e. whether the trade *worked*, not
merely whether the line avoided re-flipping. From that it reports, on the dashboard
and on each flip label, the **realized win-rate of past flips at each strength tier**
on this very symbol, plus the average favourable excursion. It can even **auto-learn
the strength threshold** at which flips have historically met a target win-rate and
use that as the action filter. A stock Supertrend tells you nothing about the quality
of its own signals; this one is accountable to its own track record.
### What it plots
- A single **Supertrend line** on price, green up / red down, with the flip triangle
**colour-graded by strength** (strong = solid, weak = faded) and a small
**strength label** on each flip (score + grade).
- An optional **second, slower Supertrend** (thinner line, contrasting colour,
diamond markers) for fast/slow confluence, with a DUAL agreement readout.
- A compact **dashboard**: verdict, regime, direction, the live adaptive multiplier
and ATR length, the flip state with its strength and that tier's realized
win-rate, MTF agreement, the calibration stat, dominant cycle, a risk-based size
reference and any active veto.
### How to use it
1. Trade with the line: long bias while it is below price (green), short while above
(red). The line is a natural trailing stop.
2. Act on **confirmed flips** (the triangles), not raw touches, and weight them by
the **strength score** — strong flips in a Trend regime with higher-timeframe
agreement are the high-quality ones; weak flips in a chop regime are the ones to
skip.
3. Use the **conviction / strength gates** and any active **veto** as a filter; the
optional **auto-learned strength cutoff** suppresses the verdict on flips weaker
than the level that has historically met your target win-rate.
4. The size shown is an ATR-based reference for journaling, not an order.
5. Alerts cover confirmed flips, the conviction verdict, raw flips and the secondary
Supertrend.
### Settings (use on any asset / market)
- **Raw data source** — `hl2`, `hlc3`, `close`, `ohlc4`, or point it at **another
indicator's plot**. This is what lets it work on any instrument or on your own
series.
- **Supertrend core** — ATR length (with optional dominant-cycle adaptive length)
and base multiplier.
- **Adaptive multiplier** — volatility-rank lookback, calm/volatile scaling and an
optional chop-widening term.
- **Confirmation** — minimum breach in ATR, minimum bars between flips, non-repaint
on close.
- **Calibration** — the judging window and the favourable target (in ATR) that
defines a "good" flip; the auto-learn cutoff and its target win-rate.
- **Regime / MTF / conviction weights / secondary Supertrend** — all exposed.
- **Optional feeds (blank = off):** a *volatility-index symbol* (spike veto) and a
*cross-asset symbol* (confluence). Both blank by default, so the script is fully
self-contained on any market.
### Notes
- It is a **study / indicator**, not a strategy, and it places no orders.
- Confirmed flips are evaluated on bar close to avoid intrabar repainting;
higher-timeframe reads use confirmed values.
---
### Disclaimer
This script is provided for educational and informational purposes only. It is a
technical-analysis study, not financial, investment, or trading advice, and not a
recommendation or solicitation to buy or sell any instrument. No indicator can
predict markets; past behaviour and any historical statistics shown (including the
flip win-rates) do not guarantee future results. Trading involves substantial risk of
loss. You are solely responsible for your own decisions — do your own research and
consider consulting a licensed financial professional before trading. The author
accepts no liability for any loss arising from use of this script.
Indicator
SuperTrend Exhaustion Clues [Gabremoku]SuperTrend Exhaustion Clues is a context-aware SuperTrend indicator that separates structural direction from signal timing. Instead of treating every flip as a trade trigger, it classifies market behavior into four states: Transition, Confirmed, Compressed Break, and Exhausted. The goal is to show when trend structure is still healthy, when it is compressing, and when it is weakening enough to start looking for directional clues.
The core logic combines four elements: SuperTrend for directional structure, ADX and DI for trend strength, VWAP and price location for acceptance, and compression detection for squeeze/release context. These components are not merged just for convenience; they work together to decide whether price is merely changing direction structurally or whether it is also showing enough internal confirmation to justify attention.
BUY and SELL signals are not printed on every flip. They are designed to appear only during Exhausted phases, and only when directional clues align with the next likely move. This makes the indicator more selective than a standard SuperTrend and better suited to reading late-stage trend fatigue and early follow-through behavior.
A built-in Signal Profile lets you choose between Responsive, Balanced, and Selective behavior. Responsive lowers the confirmation threshold and is better for faster charts, Balanced is the default middle ground, and Selective raises the bar for cleaner but rarer signals. For this reason, the script is especially useful on lower timeframes, where exhaustion tends to be easier to read and directional clues appear earlier.
For higher timeframes, the script can keep showing state, regime, and clue scores while disabling signals from 4H and above. This helps avoid forcing execution signals where the exhaustion logic is less expressive, while still letting you use the indicator for context and structure.
The visual design is intentionally restrained: bullish states are blue, bearish states are yellow, compression is purple, transition is gray, and exhaustion is red. The SuperTrend line, gradient fill, dashboard, and color legend are meant to make the state of the market easy to read at a glance without cluttering the chart.
How to use it: watch the current state first, then use Exhausted phases as the main area of interest. When the script shows Exhausted and the directional clue score aligns with the next move, that is the moment it is designed to highlight. On 4H and above, the script is better used as a structural context tool rather than a signal engine.
@Gabremoku
PulseWire Indicator
Gold Toolkit 22 [MatsukazeAlgo]🇬🇧 ENGLISH
A modular indicator that consolidates 22 Gold-specialized analysis tools into a single script. Each module can be toggled independently — enable one or two at a time for focused analysis. The shared infrastructure provides session awareness, Dollar Index correlation, and psychological price level detection across every module. Designed exclusively for XAUUSD on intraday timeframes.
Concepts
Modular Architecture -- Most indicators serve a single purpose: one trend filter, one oscillator, one pattern detector. For Gold traders who use multiple tools, this means loading 5–10 separate indicators, each consuming chart resources and requiring independent configuration. A modular architecture solves this by housing all tools within a single script, sharing a common infrastructure layer. Each module runs its own logic but inherits the same session detection, DXY feed, and psychological level engine. The result is consistent behavior across all tools without duplicate calculations.
Session-Dependent Behavior -- Gold does not trade the same way at all hours. The Asia session (19:00–03:00 ET) is characterized by tight ranges and stop runs that reverse at the London open. The London session (03:00–09:00 ET) produces directional breakouts driven by European institutional flow. The New York session (09:00–17:00 ET) carries the highest volume and tends to either continue the London move or reverse it sharply. An indicator that applies the same parameters across all three sessions is ignoring 60% of the context. Every module in this toolkit reads the current session and adjusts its signal thresholds accordingly. Asia signals require stronger confirmation. London signals favor trend continuation. NY signals weight volume more heavily.
Inverse Dollar Correlation -- Gold is priced in US Dollars. When the Dollar strengthens, Gold tends to fall. When the Dollar weakens, Gold tends to rise. This inverse relationship is not perfect on every bar, but over any meaningful sample it dominates. The toolkit reads TVC:DXY (US Dollar Index) daily data on every bar. Bull signals across all modules require a weak Dollar context (DXY close below open). Bear signals require a strong Dollar context. This single filter eliminates a substantial number of false signals that would otherwise fire against the macro trend.
Psychological Price Levels -- Gold reacts consistently at $50 and $100 round numbers. Institutional orders cluster at $4,500, $4,550, $4,600, and similar levels. When price approaches these levels, the toolkit tightens sensitivity and marks signals with a ★ indicator. A Stop Run Reversal scoring 85/100 at $4,550 is qualitatively different from the same score at $4,537 — the psychological level adds an independent layer of institutional confluence.
Modules
The 22 modules are organized into five categories. Each module is a complete analysis tool.
Trend Modules
01 ML Supertrend — A Supertrend variant with a session-learning engine. Tracks flip outcomes per session and adjusts the band multiplier over time. Sessions with low win rates get wider bands (fewer signals). Sessions with high win rates get tighter bands (more signals). Volume surge filter and RSI confirmation prevent signals in thin markets. The dashboard shows per-session win rates, current adapted multiplier, and learning state.
04 Parabolic SAR — Standard SAR calculation with two additions: age-based transparency fading and momentum scoring. Fresh SAR dots are fully opaque. As the trend ages, dots fade toward transparency, giving a visual read on trend maturity without cluttering the chart. The momentum score measures the distance between price and SAR relative to ATR. A high score means price is accelerating away from the SAR. A collapsing score warns of an impending flip. Multi-timeframe alignment check confirms whether the higher timeframe SAR agrees.
05 ACN Trend — An adaptive coral noise filter that outputs a smoothed trend line with risk zones above and below. The noise score quantifies how choppy the current market is. When noise exceeds the threshold, the background shades as a warning to avoid trading. The conviction meter is the inverse of noise — a high conviction reading means clean trend conditions. Bull/Bear signal counts per session track which sessions produce the most reliable signals for your timeframe.
09 Anchored Channels — A dual-layer channel system. Macro channels connect confirmed swing pivots and project forward with band widths derived from maximum deviation. Micro channels fit a short-term linear regression to the most recent bars. When price breaks the macro channel, it is classified as BRK (breakout). When price returns to the channel boundary, it is PB (pullback). When the micro channel aligns with the macro direction, it is CONT (continuation). The MTF screener checks two higher timeframes for directional agreement. A status badge labels the overall trend bias.
18 Asymmetric Trend — Uses different thresholds for entering and exiting a trend. The entry threshold is tight — price must move strongly to flip the trend. The exit threshold is wide — the trend persists through normal retracements. This asymmetry reduces whipsaws in ranging markets while catching genuine trend changes quickly. Gradient fill between the trend line and price shows acceleration visually. Reversal diamond markers appear at flip points with session tags and trend age.
Reversal Modules
02 Stop Run Reversal — Detects when price pierces a range boundary (liquidity grab) and reverses. Each event is scored 0–100 based on wick ratio, penetration depth, volume spike, DXY alignment, and session context. Zone boxes mark the reversal area with reference, invalidation, and target lines. A pending state tracker monitors setups that have not yet confirmed, preventing premature signals. Session and DXY tags on each label provide immediate context.
06 Arc Momentum — A non-linear RSI oscillator. Instead of plotting RSI as a flat line, the oscillator curves toward price in an arc. When the arc flips direction, a signal fires. Divergence detection compares RSI pivot extremes against price pivot extremes and flags when they disagree. The momentum zone classification (Overbought / Bull / Neutral / Bear / Oversold) shades the background for a quick visual read on the current state.
11 Harmonic Patterns — Scans for five harmonic patterns: Bat, Gartley, Butterfly, Crab, and Shark. Both bullish (XABCD with D at bottom) and bearish (XABCD with D at top) configurations are detected. Each pattern is scored based on session quality, DXY alignment, and proximity to psychological levels. Fibonacci projection levels are drawn at the PRZ (Potential Reversal Zone) showing 0.382, 0.618, 1.0, 1.272, and 1.618 targets. The tolerance parameter controls how strictly the Fibonacci ratios must match the textbook definitions.
16 RSI Swing Structure — Uses RSI overbought and oversold zones to define swing points. When RSI enters OB and price makes a high, that high is labeled. When RSI enters OS and price makes a low, that low is labeled. Each swing point is classified as HH (Higher High), HL (Higher Low), LH (Lower High), or LL (Lower Low). When the classification sequence breaks — for example, a HH followed by a LL — the indicator labels it as CHoCH (Change of Character). When the sequence continues — HH followed by another HH — it labels BOS (Break of Structure). Swing connecting lines visually link the pivots. RSI value appears on each label.
Structure Modules
03 EMA Inversion — Three EMAs (21, 55, 200) with ribbon fill. The indicator tracks Fair Value Gaps that form during trend moves. When an FVG is subsequently filled from the opposite direction (inverse FVG flip), a signal fires. Built-in SL/TP management uses the most recent swing high/low for stop placement and projects a 1:1 target. A cooldown timer prevents re-entry immediately after a stop-out. The trade state label shows whether the indicator considers the current position LONG, SHORT, or FLAT.
08 SwingRegress — Anchors linear regression channels to swing pivot confirmations. When a CHoCH occurs (price breaks the previous swing extreme), a new channel begins from the most recent opposite pivot. The channel slope and deviation are calculated from all bars within the segment. Band 1 and Band 2 at configurable standard deviations define the channel width. A linefill between the bands makes the channel body visible. Psychological price levels within the channel are drawn as dotted gold lines. A Bollinger/Keltner squeeze detector highlights when volatility compresses inside the channel — often a precursor to the next directional move.
10 S/R Zones — Builds support and resistance zones from volume-weighted pivot clustering. Nearby pivots are merged into zones. Each zone receives a strength score based on the number of touches, volume at touch, and recency. When price breaks through a zone, it is flagged. When price returns to a broken zone from the other side, it is flagged as a retest. Ghost zones keep broken levels visible with faded opacity. Star ratings provide a quick strength summary. An age-based decay ensures old, untested zones gradually disappear.
12 FVG Wave — Tracks Fair Value Gaps across the chart with session-colored rendering. Asia FVGs are rose, London FVGs are teal, NY FVGs are sky blue. Each FVG has a POC (midpoint) dotted line. When price touches the POC, a detection event fires. Age-based opacity fading dims old FVGs. Mitigation tracking removes FVGs that have been completely filled. Ghost mode optionally keeps mitigated FVGs visible in muted colors for reference.
17 OB Zone Study — Detects order blocks at displacement candles that follow swing pivots. Each OB is scored with a breakdown showing trend alignment, location quality, session, DXY confluence, and psychological level proximity. Mitigation tracking monitors whether price returns to the OB. Once mitigated, the OB is removed. Age-based opacity fading gradually dims unmitigated OBs that have been on the chart for a long time.
19 Vector SMC — Smart Money Concepts with a volume gate. FVGs and order blocks are only detected when the candle's volume exceeds the average by a configurable multiplier. This filters out structural patterns formed on low participation. OBs extend forward and are automatically invalidated when price closes through them. Sweep labels mark liquidity grabs at swing highs and lows where volume confirms institutional activity.
Session Modules
13 Session Range — Tracks the OHLC of Asia, London, and NY sessions in real time. A candle panel visualizes each session's range as a mini candlestick. 25% retracement lines for the London range identify the level where NY price action tends to react. H/M/L/O reference lines project key session levels forward. Regime classification analyzes the session structure pattern (e.g., London Partial Up, London Full Range). Asia sweep detection identifies whether the Asia high or low was taken during London. A stats table shows historical percentages for session behavior patterns.
15 Session Killzones — Draws boxes for Asia, London, NY AM, and NY PM killzone periods. When a killzone closes, its high and low are recorded as levels. These levels extend forward as dashed lines until price sweeps through them. Anticipation bars project the levels further for planning. When a sweep occurs, a detection label marks the bar. Session name labels identify each killzone box.
20 AlgoPath — Plots previous day high and low as horizontal lines. The equilibrium level (midpoint of PDH and PDL) is drawn as a dashed line. London session open and NY session open are drawn when each session begins. New day background shading marks the daily boundary. Whale candle detection flags abnormally large candles — those with body size exceeding a configurable ATR multiple — with session-colored labels showing the session name and exact time.
Volume and Correlation Modules
07 Minicharts — Displays Silver (XAG/USD), Dollar Index (DXY), and Gold Futures (GC1!) in a correlation panel. Each symbol shows EMA position (above/below). SMT (Smart Money Technique) divergence detection flags when Gold moves in the opposite direction to a correlated asset — a potential early warning of reversal.
14 Institutional Volume — Identifies accumulation and distribution phases using volume clustering analysis. When multiple high-volume candles with consistent directional bias appear within a lookback window, the indicator flags the zone. Climax volume detection identifies bars where volume × range reaches the highest level in the lookback period. Zone boxes mark the accumulation or distribution area on the chart.
21 Swing TPO — Builds Time Price Opportunity distributions anchored to swing points. The price range between swing pivots is divided into bins, and each TPO period assigns a letter to every visited bin. Gradient-colored boxes range from cool (low activity) to warm (high activity). The POC (Point of Control) line marks the highest-activity price. Psychological level detection flags when the POC lands near a $50/$100 round number.
22 VWAP — Dual-anchor Volume Weighted Average Price. The primary anchor resets on Session, Week, or Month boundaries. An optional second anchor provides a longer-term VWAP for confluence. Standard deviation bands at 1σ and 2σ show statistical extremes. Previous period VWAP, VAH (Value Area High), and VAL (Value Area Low) levels persist as reference lines with price labels. Band touch signals flag when price reaches the 2σ extreme. Slope direction indicates whether the VWAP is rising, falling, or flat.
How to Use
1. Open indicator settings. Under "Module Select," enable 1–2 modules.
2. Configure "Gold Settings" for session filtering, DXY, and psychological levels.
3. Apply to XAUUSD on your preferred intraday timeframe (5m–4h recommended).
4. Use the Style tab to show/hide individual signal shapes.
5. The module panel (top right) shows all 22 modules with the active one highlighted in gold.
Shared Infrastructure
Session Detection — Automatically identifies Asia (19:00–03:00 ET), London (03:00–09:00 ET), and New York (09:00–17:00 ET). Each module reads the current session for parameter adjustment and signal filtering.
DXY Feed — Pulls TVC:DXY daily open and close. Determines whether the Dollar is strengthening or weakening on the day. All modules use this for macro alignment.
ATR Normalization — All distance calculations (band widths, displacement thresholds, target projections) are normalized to the 14-period ATR. This ensures consistent behavior across timeframes and volatility regimes.
Psychological Level Engine — Configurable interval ($25, $50, or $100). Detects proximity to round numbers and flags signals near these levels with ★ markers. Multiple modules use this for confluence scoring.
Signal Bus — When any active module generates a Buy or Sell signal, it writes to a shared signal bus. The unified output shapes fire from this bus, providing a consistent visual regardless of which module produced the signal.
Module Panel — The top-right panel lists all 22 modules. The active module is highlighted in gold. Inactive modules are dimmed. Session, DXY, and daily range are displayed in the header and footer.
Input Reference
Module Select — 22 boolean toggles, one per module. Default: Module 01 ON, all others OFF.
Gold Settings — Session Filter (ON), Asia Signals (OFF), London Signals (ON), NY Signals (ON), Show DXY (ON), Psych $50/$100 (ON), Psych Interval (50), Show Panel (ON).
Each module has its own parameter group accessible when that module is enabled.
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🇯🇵 日本語
22のゴールド専用分析モジュールを1つのインジケーターに統合したモジュラー型ツール。各モジュールは設定パネルから個別にON/OFF可能 — 1〜2個ずつ有効にして使用。共通インフラがセッション認識、ドルインデックス相関、心理的価格帯検出を全モジュールに提供。XAUUSD日中足専用設計。
コンセプト
モジュラーアーキテクチャ -- 多くのインジケーターは単一目的。複数ツールを使うゴールドトレーダーは5〜10個のインジを個別にロードする必要がある。モジュラーアーキテクチャはすべてのツールを単一スクリプトに収容し、共通インフラ層を共有することで解決。各モジュールは独自ロジックを実行しつつ、同一のセッション検出、DXYフィード、心理的価格帯エンジンを継承。
セッション依存型動作 -- ゴールドは時間帯によって異なる動きをする。アジア（19:00–03:00 ET）はタイトレンジとストップラン。ロンドン（03:00–09:00 ET）は欧州機関投資家フローによる方向性ブレイクアウト。ニューヨーク（09:00–17:00 ET）は最大ボリュームでロンドンの継続か急反転。全セッションに同じパラメータを適用するインジケーターは文脈の60%を無視している。本ツールキットの全モジュールは現在のセッションを読み取り、シグナル閾値を調整。
ドル逆相関 -- ゴールドはUSドル建て。ドル高→ゴールド下落、ドル安→ゴールド上昇の逆相関が支配的。TVC:DXY日足データを毎バー読み取り、Bullシグナルはドル安文脈、Bearシグナルはドル高文脈を要求。このフィルターだけでマクロトレンドに逆行する偽シグナルの大部分を排除。
心理的価格帯 -- ゴールドは$50/$100刻みのラウンドナンバーで一貫して反応。機関投資家の注文が$4,500、$4,550、$4,600等に集中。価格がこれらのレベルに接近すると感度を引き締め、★マーカーでシグナルを強調。
モジュール一覧
トレンド系 — 01 ML Supertrend：セッション学習エンジン搭載、勝率追跡・自動調整。04 Parabolic SAR：経過時間フェード、モメンタムスコア、MTFアライメント。05 ACN Trend：適応型コーラルノイズフィルター、ノイズスコア、コンビクションメーター。09 Anchored Channels：マクロ+マイクロ二層チャネル、BRK/PB/CONT分類、MTFスクリーナー。18 Asymmetric Trend：非対称閾値フィルター、グラデーション塗り、リバーサルダイヤ。
リバーサル系 — 02 Stop Run Reversal：流動性奪取検出、0–100スコアリング、ゾーンボックス。06 Arc Momentum：非線形アーク型RSI、ダイバージェンス検出、ゾーン背景表示。11 Harmonic Patterns：5種パターン（Bull+Bear）、フィボナッチ投影。16 RSI Swing Structure：HH/HL/LH/LL分類、CHoCH/BOS検出。
ストラクチャー系 — 03 EMA Inversion：3本EMAリボン+FVG追跡+iFVGフリップ。08 SwingRegress：ピボット固定LRC、CHoCH/BOS、スクイーズ検出。10 S/R Zones：出来高加重クラスタリング、強度スコア、リテスト追跡。12 FVG Wave：セッション色分けFVG、POC、ミティゲーション追跡。17 OB Zone Study：OB検出+スコア内訳+経過フェード。19 Vector SMC：出来高ゲート付きSMC。
セッション系 — 13 Session Range：Asia/London/NY OHLC、キャンドルパネル、25%ライン、レジーム分類。15 Session Killzones：キルゾーンボックス+未スイープレベル追跡。20 AlgoPath：前日高安、イクイリブリアム、ホエールキャンドル。
ボリューム・相関系 — 07 Minicharts：Silver/DXY/GC相関パネル、SMT検出。14 Institutional Volume：蓄積/分配検出、クライマックス出来高。21 Swing TPO：グラデーションTPO分布、POC。22 VWAP：デュアルアンカー、σバンド、前期間レベル。
使い方
1. 設定の「Module Select」で1〜2個を有効化。
2. 「Gold Settings」でセッションフィルター、DXY、心理的価格帯を設定。
3. XAUUSD日中足（5分〜4時間推奨）に適用。
4. 右上のモジュールパネルで全22モジュールの状態を確認。有効モジュールはゴールドで表示。
共通インフラ — セッション検出（Asia/London/NY自動識別）、DXYフィード（$の強弱判定）、ATR正規化、心理的価格帯エンジン（$25/$50/$100）、シグナルバス（統一Buy/Sell出力）、モジュールパネル（全22モジュール一覧表示）。 Indicator
