Liquidity Reaper [JOAT]Tracks resting liquidity at swing extremes and signals the reversal when that liquidity is raided and rejected.
◆ WHAT IT IS
Price frequently pushes just beyond an obvious swing high or low — running the stops resting there — and then snaps back. Liquidity Reaper is built to detect that specific sequence: a sweep of a liquidity pool followed by a confirmed rejection , with volume backing the move. Each confirmed raid produces a reversal signal and a complete trade framework.
This is 100% original code, written from scratch. It does not copy or repackage any other author's work.
◆ HOW IT WORKS
1. Liquidity pools. Confirmed swing highs and lows (using your chosen strength) are stored as live liquidity rails — the price levels where stop orders tend to cluster. Unswept rails stay drawn on the chart; the oldest are recycled so the chart never clutters.
2. The raid. When price trades through a pool intrabar, a pending sweep opens on that side and the rail is terminated at the raid bar.
3. Confirmation. The raid only becomes a signal if, within a set confirmation window, price closes back inside the level in the opposite direction. Two extra filters keep the signal honest:
• Rejection wick — the sweep must reject with a wick of at least a configurable percentage of the candle's range, filtering shallow pokes
• Volume expansion — the raid must occur on above-average volume, so passive drifts are ignored
4. The zone. Each confirmed raid paints a swept zone across the raided range (pool level to wick extreme) — a reference area price often reacts to again.
◆ WHAT YOU SEE
• Liquidity rails at unswept swing highs (upside liquidity) and lows (downside liquidity)
• RAID BUY / RAID SELL labels showing the relative volume of the raid
• Painted swept zones on every confirmed raid
• A full TP/SL framework — entry, stop, TP1–TP3, risk/reward fills — that self-closes on a stop or final target
• A resizable dashboard reporting live pool counts each side, the nearest pool above and below with its ATR distance, pending-sweep status, raid history, and open position
◆ HOW TO USE IT
• The rails show where liquidity rests — natural draw-on-liquidity targets and reaction levels even before any signal.
• A RAID signal marks a completed sweep-and-reject; treat it as a potential reversal from that extreme.
• Swept zones are useful for re-entries and for placing stops beyond the wick.
• Works on all symbols and timeframes. Increase swing strength and the wick filter for major structure only; loosen them for active intraday sweeps.
◆ NOTES & LIMITATIONS
Use on standard candlestick charts . Sweep detection needs a genuine volume feed for the volume filter to be meaningful (disable it on symbols without volume). Signals are decision-support only — they are not financial advice and cannot guarantee a reversal will follow. Always apply your own risk management.
— made with passion by officialjackofalltrade
Indicator
[JOAT] Apex Flow EngineApex Flow Engine
A volatility-adaptive trend-flow engine that only signals when the move has measurable quality behind it.
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◆ WHAT IT IS
Apex Flow Engine tracks the market's underlying flow — the direction price is genuinely travelling once noise is stripped out — and grades every potential entry against a transparent Flow Quality score before a signal is ever printed. It is built to keep a chart clean while still giving a full trade framework: entry, stop, and three take-profit targets.
This is 100% original code. It does not reuse or repackage anyone else's script.
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◆ HOW IT WORKS
1. The Flow Baseline. Instead of a fixed moving average, the baseline is an efficiency-weighted adaptive average . It measures how much net directional travel price achieved versus how much raw movement it burned to get there (an efficiency ratio). When price moves cleanly, the baseline speeds up and hugs price; when price chops sideways, it slows and flattens. This keeps the reference honest in both trending and ranging conditions.
2. The Flow Envelope. An ATR-scaled band is wrapped around the baseline. A flow flip is only registered when price closes beyond the opposite band for a configurable number of confirmation closes — this filters the marginal pokes that create false flips on lower timeframes.
3. The Flow Quality score (0–100). Every flip is scored on four independent components before it becomes a signal:
• Momentum alignment — is momentum pushing in the flip direction
• Volume pulse — is participation expanding versus its own average
• Candle structure — did the trigger candle close with a decisive body
• Efficiency — how clean the underlying move is
A signal fires only if the score meets your minimum threshold, so weak, low-conviction flips are skipped.
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◆ WHAT YOU SEE
• BUY / SELL labels carrying the live Quality score plus an efficiency and volume read at the moment of the signal
• A full TP/SL framework on every signal — entry line, stop-loss, TP1 / TP2 / TP3, and shaded risk/reward zones — that automatically stops updating once the stop or the furthest target is reached
• An optional gradient flow ribbon whose intensity scales with Quality, and three candle-coloring styles (Gradient, Solid, Two-Tone)
• A resizable command dashboard with block-meter gauges for Quality, Efficiency, Volume, Body and Stretch, plus live position and stop readouts
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◆ HOW TO USE IT
• Trade in the direction of the current Flow State . Treat higher-Quality signals as higher-conviction.
• The Stretch (ATR) reading shows how far price has extended from the baseline — large values warn that a pullback may be near before entering late.
• Use the built-in SL and TP levels as a structured plan, or as a reference for your own risk model.
• Works on all symbols and all timeframes. Raise the confirmation closes and minimum Quality on fast intraday charts for fewer, cleaner signals.
◆ SETTINGS THAT MATTER
• Flow Baseline Length / Acceleration — responsiveness of the core
• Envelope Width + Confirmation Closes — how strict a flip must be
• Minimum Quality Score — the signal gate
• TP/SL group — ATR or percent stops, and independent R:R per target
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◆ NOTES & LIMITATIONS
Apply the indicator to standard candlestick charts . Signals are decision-support tools that describe current conditions — they are not financial advice and no indicator can predict the future or guarantee an outcome. Always combine with your own analysis and risk management.
— made with passion by officialjackofalltrade
Indicator
Volume Delta Pressure [JOAT]Volume Delta Pressure estimates how much of each bar's volume was buying versus selling, then turns that split into a clean read on who is actually in control. It combines a per-bar delta engine, a cumulative session delta line, a normalized pressure oscillator, gradient candle heat, VWAP bands, and a full on-chart dashboard — so order flow becomes something you can see at a glance instead of guessing.
▎ WHAT IT DOES
It reconstructs buy/sell volume for every candle, tracks the running net delta across the session, and measures whether current flow is stretched into Accumulation or Distribution . From that it colors your candles by pressure, prints cooldown-gated BUY/SELL labels, flags CVD/price divergences, and reports the full picture in a top-corner panel.
▎ HOW IT WORKS
• Delta engine — Two methods. Lower-TF Intrabar polls a smaller timeframe, signs each intrabar by its direction (up = buy, down = sell, doji split), and sums the volume. Range/Body Proxy splits chart-bar volume using where close sits inside the bar's range blended with candle-body direction. Auto uses intrabar data when available and falls back to the proxy everywhere else.
• Bar delta — Buy volume minus sell volume for the current candle, plus buy% / sell% of total bar volume.
• CVD — Cumulative volume delta that adds each bar's delta and resets on your chosen anchor (session/day, week, month, or never).
• Pressure oscillator — Delta is EMA-smoothed, then normalized either as a Z-Score against its rolling mean/stdev (roughly −3..+3) or as % of Volume (−100..+100). This single value drives the state, gauge, and candle color.
• Signals — A BUY fires when pressure crosses up through zero; a SELL when it crosses down. Each flip must also pass a delta-expansion filter (absolute delta above a multiple of its recent average), optional price confirmation (up close for buys, down close for sells), an optional divergence requirement , and a cooldown that blocks stacked same-side signals. Signals only confirm on bar close.
• Divergence — Pivot highs/lows on price are compared against CVD at the same pivot. Price lower-low with CVD higher-low prints a Bull Div ; price higher-high with CVD lower-high prints a Bear Div . Each stays "active" for a set number of bars.
• VWAP + σ bands — Anchored VWAP with inner and outer standard-deviation channels, tinted green above / red below.
• No-volume guard — On assets that report no volume, signals switch off and the dashboard shows a clear notice instead of printing misleading data.
▎ HOW TO USE IT
• Read candle heat first: deep green = strong net buying, grey = balanced, deep red = strong net selling. Candles flash full color on a confirmed signal.
• Treat BUY / SELL pills as flow-flip alerts, not standalone entries. They are strongest when they agree with the CVD trend and VWAP location.
• Use CVD to judge conviction behind a move — price up while CVD falls warns the push is thin.
• Divergence labels mark spots where price and delta disagree — useful for anticipating exhaustion or reversal.
• Trade with the VWAP channel : above VWAP favors longs, band edges mark stretched conditions and mean-reversion zones.
• For fewer, higher-quality signals, turn on Require CVD Divergence and keep price confirmation on.
▎ KEY SETTINGS
• Engine — Delta method, intrabar timeframe (auto or manual), proxy close-vs-body weight, and delta smoothing.
• Pressure Oscillator — Normalization mode, lookback, and the Accumulation / Distribution thresholds.
• CVD & Divergence — Reset anchor, pivot length, recency window, and label caps.
• Signals — Expansion multiplier and baseline, price/divergence requirements, cooldown, and label size/cap.
• VWAP — Source, anchor, inner/outer σ multipliers, and colors.
• Visuals — Gradient candle toggle, saturation points, and the buy/neutral/sell color set.
• Dashboard — Show/hide, position, and text size.
▎ DASHBOARD
A top-right gradient panel reporting: delta source (LTF or Proxy), bar delta, session/cumulative CVD and its trend, buy% and sell%, the pressure value, a segmented flow gauge, the current State (Accumulation / Distribution / Neutral), active divergence, dominant side, VWAP location, and the last active signal — each cell color-coded by side.
▎ ALERTS
• Buy Pressure Flip — fires on a confirmed BUY signal.
• Sell Pressure Flip — fires on a confirmed SELL signal.
▎ NOTES
• Works on all timeframes and assets that report volume; degrades gracefully where volume is absent.
• Signals confirm on bar close, so labels and alerts do not repaint after the bar completes.
• Every visual layer — candles, VWAP, labels, dashboard — toggles independently for a clean chart.
• Delta is an estimate reconstructed from price and volume, not exchange-reported order flow.
For research and education only. This is not financial advice. No indicator can predict the future, and past behavior does not guarantee future results. Always do your own analysis and manage your own risk.
Made with passion by JackOfAllTrades ⚡ Indicator
Range Breakout Pro [JOAT]═══ RANGE BREAKOUT PRO ═══
Range Breakout Pro is a universal breakout engine. It defines a reference range from the Previous Day , Previous Week , an Initial Balance window, or a Custom Session , draws that range on the chart, and only fires a trade idea when price confirms a close beyond the edge. Every signal is scored 0–10 for conviction and shipped with a full trade plan: stop, three R-multiple targets, and live outcome tracking.
▎ WHAT IT DOES
It turns a simple "price broke the range" event into a structured, filtered, and scored decision. The chosen range basis is projected onto the current period as a box with edge rails and a midline. A confirmed break becomes a clean LONG or SHORT label with a stop, TP1/TP2/TP3 zones, and a running performance panel — all built to keep the chart readable.
▎ HOW IT WORKS
— Range basis : Previous Day / Previous Week project the prior completed period's high-low forward. Initial Balance and Custom Session accumulate the high-low inside a session window (in your chosen timezone) and lock the range at the window close.
— Break detection : a bar must close beyond the range edge, not just wick through it. In direct mode the close must clear the level by a Break Buffer measured in ATR.
— Optional retest : with retest confirmation on, price must break, pull back within a tolerance of the level, then close beyond it again before a signal arms — decisive reversals back through the level cancel the setup.
— Strength score (0–10) : each candidate is graded on candle body dominance, candle range vs ATR, volume vs its average, 3- and 5-bar momentum agreement, penetration depth past the level, RSI posture, higher-timeframe trend alignment, whether it is the first break of the period, and range size vs ADR. The score maps to a ★ rank and a tier from FORMING to ELITE.
— Filters/gates : minimum strength to signal, optional "strong only" threshold, HTF EMA trend alignment (longs above, shorts below), a range-vs-ADR gate (skip ranges too tight or too wide), and a max-signals-per-period cap.
— Trade model : entry at the confirming close. Stop from Structure (opposite range edge), Mid (range midline), or ATR , with an ATR buffer plus min/max risk clamps. Targets are placed at your TP1/TP2/TP3 R-multiples off the measured risk.
— Outcome engine : each trade is tracked bar by bar for TP1/TP2/TP3, stop, or end-of-period flatten, including same-bar stop handling, and the result feeds the stats panel.
— VWAP overlay : session-anchored VWAP with ±1σ bands and an optional ±2σ outer channel, tinted to the side price is trading.
▎ HOW TO USE IT
— Pick the range basis that fits your style: intraday traders often use Initial Balance or Custom Session; swing traders use Previous Day or Previous Week.
— Wait for a LONG / SHORT label. The ★ rank and score tell you how much confluence backed that break — treat higher tiers as higher conviction.
— The entry line is the confirming close, the dashed line is the stop , and the three solid lines are targets tagged 🎯 TP1 , 🥈 TP2 , 🏆 TP3 . The green zone is the reward area; the red zone is risk.
— Use the range box, midline, and rails as context: reclaims of the midline, failed breaks, and edge retests are all readable at a glance.
— Layer the VWAP bands as confluence — breakouts extending away from VWAP with room to the outer channel read differently than breaks stalling into a band.
— Result labels (TP / SL / EOP with the R outcome) close each idea so you can review what worked.
▎ KEY SETTINGS
— Engine : range basis, session timezone, IB / custom windows, retest toggle, break/retest tolerances, max signals per period.
— Strength & Filters : ATR length, minimum score, strong-only threshold, HTF trend alignment (timeframe + EMA length), and the range-vs-ADR gate.
— Trade Model : stop basis and buffer, ATR stop distance, min/max risk caps, TP1/2/3 in R, and how many past trades to keep drawn.
— Visuals : Ice / Emerald / Mono theme, box, rails, midline, measured-move ×1/×2 guides, projection length, label size, and toggles for signal, lines, zones, level labels, and result labels.
— VWAP & Candles : VWAP source, σ multiplier and lookback, outer channel, and optional RSI-gradient candles.
— Dashboard : show/hide, position, text size, and the outcome breakdown row.
▎ DASHBOARD
A chrome-accented panel reports the active range basis, current range size and % of ADR, price vs VWAP (with σ distance), engine status (forming / armed / trade active), the active and last signal with its score, and live stats: win rate , profit factor , average R per trade, long vs short win%, best direction, total signals, current and max streaks, plus an optional TP1/TP2/TP3 · SL · EOP outcome breakdown.
▎ ALERTS
— RBP Long and RBP Short on a confirmed, filtered breakout.
— TP3 Hit , Partial TP (protected exit), SL Hit , and EOP Exit (end-of-period flatten).
▎ NOTES
— Works on any market and any timeframe.
— Higher-timeframe data uses confirmed prior values, so signals are evaluated on bar close and do not repaint after the fact.
— Clean-by-default: measured-move guides, extra rails, gradient candles, and the outer channel all sit behind toggles so you can strip the chart down or build it up.
— Drawn history (ranges and trades) is capped to keep the chart light.
This tool is for research and education only. It is not financial advice. No indicator can predict the future, and any statistics shown reflect historical signals on your chart — past behavior does not guarantee future results. Always do your own analysis and manage your own risk.
Made with passion by JackOfAllTrades ⚡ Indicator
Buy-Sell Signals using Multi-Logic Trading System
📈 Advanced Multi-Logic Trading System with Trend, Momentum, Breakout and Risk Management
The **Buy-Sell Signals using Multi-Logic Trend, Momentum & Breakout System** is a multi-condition trading indicator designed to help traders identify structured trading opportunities across different market environments.
Unlike a conventional indicator that depends on only one moving-average crossover or oscillator, Buy-sell with Multi-logic Trading Sytem combines:
✅ Market structure and EMA alignment
✅ Higher-timeframe trend confirmation
✅ Session VWAP positioning
✅ RSI and MACD momentum
✅ Bollinger Band positioning and volatility
✅ Volume expansion and OBV direction
✅ Range-breakout confirmation
✅ Sideways-market mean reversion
✅ Dynamic stop-loss and target calculations
✅ Signal management and cooldown controls
The objective is not to produce the maximum number of signals.
The objective is to filter market noise and highlight situations where multiple independent conditions support the same directional view.
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🧠 How the Indicator Reads the Market
Buy-sell with Multi-logic Trading Sytem continuously classifies the chart into one of four market conditions:
📈 BULLISH TREND
A bullish trend is identified when:
**Price > Fast EMA > Medium EMA > Slow EMA**
With the default settings, this represents:
**Price > EMA 20 > EMA 50 > EMA 200**
This structure indicates that short-term, medium-term and long-term price positioning is aligned in the bullish direction.
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📈 BEARISH TREND
A bearish trend is identified when:
**Price < Fast EMA < Medium EMA < Slow EMA**
With the default settings:
**Price < EMA 20 < EMA 50 < EMA 200**
This indicates complete bearish alignment across the three trend layers.
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📈 RANGE / SIDEWAYS
The system studies the previous trading range over the selected Range Lookback.
The current candle is excluded from this range calculation. This allows the indicator to identify a genuine close outside the previous range instead of comparing the breakout candle against a range that already includes it.
A market is treated as sideways when:
• The previous range width remains within the selected percentage threshold
• Complete bullish EMA alignment is absent
• Complete bearish EMA alignment is absent
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📈 Transition
The Transition condition appears when the market is neither properly trending nor qualifying as a defined range.
This commonly happens when:
• EMAs are crossing or compressing
• Price repeatedly moves around the EMA ribbon
• The previous trend is weakening
• A new trend has not yet become established
• Price is moving between range and trend conditions
Transition is usually the least reliable environment for mechanical signals.
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⚙️ The Four Entry Logic Engines
Buy-sell with Multi-logic Trading System contains four separate entry engines.
Each engine is designed for a different type of market behaviour.
📈 1. Trend-Following Logic
Trend-following logic is designed to participate in an already established directional move.
A bullish trend setup requires:
• Bullish EMA alignment
• Minimum bullish confluence score
• Higher-timeframe bullish permission
• Price above session VWAP
A bearish trend setup requires the opposite conditions.
🔷 Bullish confluence score
The bullish score contains six independent components:
1. Bullish EMA trend alignment
2. RSI positioned between 45 and 72
3. MACD above its signal line with a positive histogram
4. Price above the Bollinger Band basis
5. High volume with bullish OBV behaviour
6. A bullish candle closing above the previous structural swing high
🔷 Bearish confluence score
The bearish score also contains six components:
1. Bearish EMA trend alignment
2. RSI positioned between 28 and 55
3. MACD below its signal line with a negative histogram
4. Price below the Bollinger Band basis
5. High volume with bearish OBV behaviour
6. A bearish candle closing below the previous structural swing low
The **Minimum Trend Confluence** setting determines how many of these six conditions must agree.
🔷 When to use Trend-Following Logic
👉Use it when:
• The EMA ribbon is properly expanded
• Price is making higher highs and higher lows in an uptrend
• Price is making lower highs and lower lows in a downtrend
• Pullbacks are respecting the fast or medium EMA
• Price is consistently holding on the correct side of VWAP
• The higher-timeframe trend supports the trade direction
👉 When to avoid it
Avoid relying on trend logic when:
• EMAs are flat or repeatedly crossing
• Price is trapped inside a narrow range
• The market-condition card shows Transition
• A signal appears directly below major resistance
• A signal appears directly above major support
• Price has already completed a large impulsive move without a pullback
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📈 2. Momentum Logic
Momentum logic is designed to detect acceleration before complete trend confluence becomes necessary.
🔷For bullish momentum, the indicator looks for:
• Price above the fast EMA
• RSI above 52
• Positive MACD histogram
• MACD histogram increasing from the previous candle
• Bullish OBV positioning
• Volume confirmation when usable volume is available
• Bullish higher-timeframe permission
• Price above VWAP
🔷Bearish momentum uses the opposite conditions.
Momentum logic can respond earlier than full trend logic because it does not require the complete EMA 20–50–200 alignment or the minimum six-part trend score.
👉 When to use Momentum Logic
Momentum logic is most useful when:
• Price is emerging from consolidation
• A fresh intraday directional move is developing
• Volume is expanding with price
• MACD momentum is accelerating
• Price has reclaimed or rejected VWAP decisively
• A pullback is followed by renewed directional strength
• The higher timeframe already supports the intended direction
👉 When to avoid it
Avoid momentum entries when:
• The momentum candle is unusually extended
• Price is entering a major higher-timeframe supply or demand zone
• Volume expansion is caused by a news spike
• MACD is positive but price structure remains weak
• Price repeatedly crosses VWAP
• The chart has unreliable or unavailable volume data
Momentum logic is especially dependent on meaningful volume and OBV behaviour. It is therefore generally better suited to liquid stocks, indices, futures and other actively traded instruments.
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📈 3. Range-Breakout Logic
The breakout engine is designed to identify confirmed movement outside a previously established range.
It does not trigger merely because price trades a few ticks outside the range.
A bullish breakout requires:
• The previous market qualified as a range
• Price closes above the previous range high
• The close exceeds the range by the selected ATR buffer
• The previous candle had not already closed above the range
• The breakout candle closes strongly toward its high
• RSI is above 50
• MACD is bullish
• Volume confirms the move when available and required
• Price is above VWAP
The bearish breakout logic uses the opposite conditions.
🔷 Breakout Confirmation Buffer
The ATR buffer prevents the system from treating a marginal move above or below the boundary as a valid breakout.
A value of **0.15 ATR** means price must close beyond the range boundary by an additional 15% of the current ATR.
Increasing this value creates fewer but more selective breakout signals.
🔷 Breakout Candle Close Position
The candle must also close strongly in the breakout direction.
With a value of **0.60**:
• A bullish breakout candle must close in the upper 40% of its total range
• A bearish breakout candle must close in the lower 40% of its total range
This helps reject candles that break a level intrabar but leave a large rejection wick.
🔷 Important HTF behaviour
The higher-timeframe EMA filter directly controls the Trend and Momentum engines.
The Range-Breakout engine instead uses its own range, ATR, candle-strength, RSI, MACD, volume and VWAP confirmation.
Therefore, traders should still manually inspect the higher-timeframe structure before accepting a breakout signal.
👉 When to use Breakout Logic
Use breakout logic when:
• Price has formed a clean and visible range
• Range boundaries have been tested multiple times
• Bollinger Band width has contracted before expansion
• Volume increases during the breakout
• The breakout candle closes outside the level
• There is sufficient room before the next major structure
• VWAP supports the breakout direction
👉 When to avoid it
Avoid breakout entries when:
• The range is poorly defined
• Price is breaking directly into higher-timeframe resistance or support
• The breakout candle leaves a large rejection wick
• Volume is weak or declining
• Price has already moved far beyond the range before entry
• The breakout occurs during an irregular news candle
• The range threshold is set too loosely and ordinary price movement is being classified as consolidation
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📈 4. Sideways Mean-Reversion Logic
Mean reversion is disabled by default because it represents a different trading philosophy from trend-following.
Instead of expecting price to continue moving away from fair value, this engine looks for rejection near the outer areas of a sideways range.
The range is divided into zones:
• Lower reversion area near the bottom 20% of the range
• Upper reversion area near the top 20% of the range
A bullish mean-reversion setup requires:
• Mean-reversion logic enabled
• Market classified as sideways
• Range sufficiently wide relative to ATR
• Price testing the lower reversion zone
• Price closing back above that zone
• A bullish rejection candle
• A sufficiently large lower wick
• RSI below 38
• RSI turning upward when the RSI-turn filter is enabled
• Volume permission
A bearish mean-reversion setup requires the opposite conditions near the upper range zone, with RSI above 62 and turning downward.
🔷 Important Mean-Reversion Behaviour
Mean-reversion trades are intentionally based on sideways-market rejection.
They do not use the higher-timeframe trend or VWAP filter in the same way as the Trend and Momentum engines.
This is logical because a range-fading trade may temporarily move against the prevailing higher-timeframe direction.
However, it also means mean-reversion mode should be activated only when the trader has independently confirmed that the market is genuinely balanced and range-bound.
👉 When to use Mean Reversion
Use it when:
• The market has clear horizontal boundaries
• EMA alignment is absent
• Price repeatedly rejects both sides of the range
• The range is wide enough to offer practical reward
• RSI reaches an extreme and begins turning
• The rejection candle closes back inside the range
• No major breakout catalyst is expected
👉 When not to use it
Disable mean reversion when:
• The market is strongly trending
• The EMA ribbon is expanding
• Price is forming one-sided momentum candles
• Volume is increasing near the range boundary
• A breakout is supported by broader-market direction
• Price is repeatedly pressing one boundary without meaningful rejection
Repeated testing of one range boundary can represent pressure accumulation rather than a reversal opportunity.
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🔍 Higher-Timeframe Trend Filter
The higher-timeframe filter compares price with an EMA calculated on the selected higher timeframe.
👉When enabled:
• Long Trend and Momentum setups require bullish HTF positioning
• Short Trend and Momentum setups require bearish HTF positioning
The higher-timeframe calculation is designed to use confirmed information rather than future-looking data.
🔷 Suggested timeframe combinations
These are practical starting points and should be tested for each instrument:
• 3-minute chart → 15-minute or 30-minute HTF
• 5-minute chart → 30-minute or 60-minute HTF
• 15-minute chart → 60-minute or 4-hour HTF
• 30-minute chart → 4-hour HTF
• 1-hour chart → 4-hour or Daily HTF
• 4-hour chart → Daily or Weekly HTF
A closer HTF produces more opportunities.
A larger HTF produces fewer but more structurally selective opportunities.
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📍 Session VWAP Filter
VWAP acts as the indicator’s intraday fair-value reference.
👉When enabled:
• Long Trend, Momentum and Breakout setups require price above VWAP
• Short Trend, Momentum and Breakout setups require price below VWAP
This reduces situations where a bullish technical setup appears below intraday fair value or a bearish setup appears above it.
👉Keep VWAP enabled when:
• Trading intraday
• Trading indices or liquid stocks
• Trading momentum continuation
• Trading opening-range or consolidation breakouts
• Filtering counter-directional entries
👉 Consider disabling VWAP when:
• Trading higher timeframes where session VWAP has less relevance
• Trading instruments with irregular sessions
• Testing a pure swing-trading model
• Using another manually defined fair-value framework
Disabling VWAP increases flexibility but may also increase counter-directional signals.
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📊 Volume and OBV Confirmation
The indicator compares current volume with its moving average.
With the default multiplier of **1.5**, high volume means the current volume is at least 1.5 times the selected average volume.
OBV is then compared with its own moving average to determine whether cumulative volume behaviour supports buyers or sellers.
The system is designed so that missing volume does not automatically block every setup.
However, symbols with reliable exchange volume are preferred, particularly when using Momentum Logic.
🔷 Volume Multiplier Interpretation
• 1.20–1.40: More responsive, but more noise
• 1.50: Balanced default
• 1.70–2.00: Strong expansion required
• Above 2.00: Very selective and mainly suited to exceptional participation
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🛡️ Stop-Loss and Target Engine
Every confirmed signal creates an active entry, stop-loss and target.
The indicator provides three stop-loss methods.
🔷 Structure + ATR
👉For a long trade:
The stop is placed below the previous structural swing low with an additional ATR buffer.
👉For a short trade:
The stop is placed above the previous structural swing high with an ATR buffer.
This is generally the preferred method for price-action and structure-based trading.
🔷ATR Stop
The stop is calculated using a fixed ATR multiple from the entry.
This method adapts to current volatility without depending on the location of a previous swing.
It can be useful for:
• Momentum setups
• Instruments with irregular swing structures
• Fast-moving markets
• Systematic risk standardisation
🔷 Fixed Percentage Stop
The stop is placed at a fixed percentage from entry.
This is simple but does not adjust to changing volatility.
It should be used carefully because the same percentage may be too tight in a volatile market and unnecessarily wide in a quiet market.
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📈 Target Methods
🔷Risk-to-Reward Target
The target is calculated from the actual distance between entry and stop.
With a 1.5 risk-to-reward ratio, the target is 1.5 times the defined trade risk.
🔷 ATR Target
The target is positioned at a selected ATR multiple from entry.
This can be useful for momentum trades where price expansion is expected.
🔷 Fixed Percentage Target
The target is placed at a fixed percentage from entry.
This is straightforward but less adaptive than ATR or structure-based calculations.
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🎯 Preferred Risk Settings
🔷 Structure-Based Intraday Trading
• Stop Method: Structure + ATR
• Structure ATR Buffer: 0.15–0.25
• Target Method: Risk:Reward
• Risk:Reward: 1.5–2.0
🔷 Momentum Trading
• Stop Method: ATR
• Stop ATR Multiplier: 1.2–1.8
• Target Method: ATR or Risk:Reward
• Target ATR Multiplier: 2.0–3.0
🔷 Swing Trading
• Stop Method: Structure + ATR
• Swing Lookback: 10–20
• Structure ATR Buffer: 0.20–0.40
• Target Method: Risk:Reward
• Risk:Reward: 1.5–2.5
🔷 Mean-Reversion Trading
• Stop Method: Structure + ATR or ATR
• Use a stop beyond the rejected range boundary
• Avoid excessively wide targets
• Consider the opposite side or midpoint of the range as practical structure
These values are starting points, not universal settings. Different instruments have different volatility and structural characteristics.
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🚦 Signal-Control System
Buy-sell with Multi-logic Trading System includes several controls to prevent repeated or conflicting signals.
👉 Minimum Bars Between Signals
The cooldown prevents the indicator from producing another signal immediately after the previous one.
Default: **5 bars**
Lower values create more frequent signals.
Higher values reduce repeated entries during the same move.
👉 Fresh Setup Only
When enabled, a signal appears only when the complete setup changes from false to true.
It prevents the indicator from repeatedly signalling on every candle while the same condition remains active.
This should normally remain enabled.
👉 Wait for SL or Target Before Next Signal
When enabled, the indicator waits for the active stop or target to be touched before accepting another trade.
This creates a cleaner one-trade-at-a-time workflow.
It is the preferred setting for discretionary traders and alert-based execution.
👉 Allow Opposite Signal
This setting becomes relevant when “Wait for SL/Target” is disabled.
It determines whether an opposite signal can replace the current directional trade before the original levels are completed.
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✨ Visual Features
3D Gradient Trend Ribbon
Glow Buy and Sell Markers
Signals are generated after the chart candle is confirmed.
Entry Beam
3D Risk and Reward Zones
VWAP Glow Line
Gradient Candle Coloring
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📋 Dashboard Explained
The dashboard provides a summary of current chart conditions.
Market Condition
Bull Score and Bear Score
RSI
ATR Percentage
Volume Ratio
Bollinger Band Width
HTF Trend
VWAP
Active Trade
SL / TP
Win Rate
The dashboard win rate is an internal chart-touch statistic based on whether displayed targets or stops were reached.
For reliable validation, traders should independently review historical trades and conduct proper testing.
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🔔 Alert Features
Buy-sell with Multi-logic Trading System provides alert conditions for:
• Confirmed BUY signal
• Confirmed SELL signal
• Active stop-loss touched
• Active target touched
Dynamic BUY and SELL alerts can also include:
• Symbol
• Entry price
• Stop-loss
• Target price
Signals and dynamic alerts are generated once per confirmed candle close.
For PulseWire alerts, select the indicator and choose the required alert condition.
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📌 Preferred Logic According to Market View
👉 Strong Bullish Market
Recommended:
• Trend Logic: ON
• Momentum Logic: ON
• Breakout Logic: Optional
• Mean Reversion: OFF
• HTF Filter: ON
• VWAP Filter: ON
• Minimum Confluence: 4 or 5
Focus mainly on long signals, pullbacks and bullish consolidation breakouts.
👉Strong Bearish Market
Recommended:
• Trend Logic: ON
• Momentum Logic: ON
• Breakout Logic: Optional
• Mean Reversion: OFF
• HTF Filter: ON
• VWAP Filter: ON
• Minimum Confluence: 4 or 5
Focus mainly on short signals, failed recoveries and bearish range breakdowns.
👉 Developing Trend
Recommended:
• Trend Logic: ON
• Momentum Logic: ON
• Breakout Logic: ON
• Mean Reversion: OFF
• Minimum Confluence: 4
• Breakout Buffer: 0.10–0.20 ATR
Momentum or breakout logic may identify the move before complete EMA alignment develops.
👉 Established Trend
Recommended:
• Trend Logic: ON
• Momentum Logic: Optional
• Breakout Logic: Optional
• Mean Reversion: OFF
• Minimum Confluence: 4–5
• Structure + ATR stop
Look for continuation after controlled pullbacks rather than chasing extended candles.
👉 Clean Sideways Range
Recommended:
• Trend Logic: OFF or used cautiously
• Momentum Logic: OFF
• Breakout Logic: ON
• Mean Reversion: ON only for confirmed range rejection
• RSI Turn Requirement: ON
• Reversion Wick Ratio: 0.35–0.50
Use either range fading or breakout trading according to price behaviour—but avoid treating both as equally valid at the same moment.
👉 Transition or Choppy Market
Recommended:
• Increase Minimum Confluence
• Increase cooldown bars
• Use HTF and VWAP filters
• Keep Mean Reversion OFF unless a clear range forms
• Wait for structure to become clearer
Sometimes the best setting in a Transition market is simply to avoid trading.
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🧩 Suggested Presets
🔶 Balanced Intraday — 5 or 15 Minutes
• EMA: 20 / 50 / 200
• HTF: 60 minutes
• HTF Filter: ON
• VWAP Filter: ON
• Trend Logic: ON
• Momentum Logic: ON
• Breakout Logic: ON
• Mean Reversion: OFF
• Minimum Confluence: 4
• Volume Multiplier: 1.5
• Breakout Buffer: 0.15 ATR
• Breakout Close Position: 0.60
• Stop: Structure + ATR
• Target: 1.5 Risk:Reward
• Cooldown: 5 bars
• Fresh Setup Only: ON
• Wait for Exit: ON
🔶 Precision Intraday
• HTF Filter: ON
• VWAP Filter: ON
• Minimum Confluence: 5
• Volume Multiplier: 1.7–2.0
• Breakout Buffer: 0.20–0.30 ATR
• Breakout Close Position: 0.70–0.80
• Fresh Setup Only: ON
• Wait for Exit: ON
This preset produces fewer signals but demands stronger confirmation.
🔶 Fast Momentum Trading
• Trend Logic: Optional
• Momentum Logic: ON
• Breakout Logic: ON
• Mean Reversion: OFF
• HTF Filter: ON
• VWAP Filter: ON
• Volume Multiplier: 1.3–1.5
• Cooldown: 2–4 bars
• Stop: ATR
• Target: ATR or Risk:Reward
Fast settings should only be used on liquid instruments because they are more sensitive to lower-timeframe noise.
🔶 Range-Breakout Trading
• Trend Logic: Optional
• Momentum Logic: Optional
• Breakout Logic: ON
• Mean Reversion: OFF
• Breakout Buffer: 0.15–0.30 ATR
• Close Position: 0.65–0.80
• Require Breakout Volume: ON
• Volume Multiplier: 1.5–2.0
• VWAP Filter: ON
Manually confirm that sufficient space exists beyond the range.
🔶 Sideways Mean Reversion
• Trend Logic: OFF
• Momentum Logic: OFF
• Breakout Logic: Optional
• Mean Reversion: ON
• Minimum Range Width: 1.0–1.5 ATR
• Rejection Wick Ratio: 0.35–0.50
• RSI Turn Requirement: ON
• Fresh Setup Only: ON
• Wait for Exit: ON
Do not use this preset when the range boundary is being attacked with expanding volume.
🔶 Swing Trading — 1 Hour or 4 Hours
• EMA: 20 / 50 / 200
• HTF: 4 Hour, Daily or Weekly
• HTF Filter: ON
• VWAP Filter: Optional
• Trend Logic: ON
• Momentum Logic: ON
• Breakout Logic: ON
• Mean Reversion: Usually OFF
• Minimum Confluence: 4–5
• Swing Lookback: 10–20
• Stop: Structure + ATR
• Target: Risk:Reward
• Risk:Reward: 1.5–2.5
• Cooldown: 3–5 bars
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⛔ When Not to Use the Indicator
Avoid taking signals mechanically when:
• The market-condition card shows an unstable Transition phase
• Price is moving inside a very narrow and noisy area
• A signal is directly facing major higher-timeframe structure
• Price is highly extended from the EMA ribbon or VWAP
• The signal candle is abnormally large
• A major economic event is creating unpredictable volatility
• The selected instrument is illiquid
• Volume data is unreliable
• Bid–ask spreads are unusually wide
• The chart timeframe is too low for the instrument
• There is insufficient reward before the next support or resistance
• The stop required by structure is larger than the trader’s permitted risk
A technically valid signal is not automatically a good trade.
Location, liquidity, market context and risk remain essential.
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✅ Recommended Trading Workflow
Step 1 : Identify the market condition
Determine whether the chart is trending, ranging or transitioning.
Step 2 : Check the higher timeframe
Confirm the broader directional structure before using Trend or Momentum signals.
Step 3 : Check VWAP location
For intraday trading, prefer longs above VWAP and shorts below VWAP.
Step 4 : Read the dashboard
Compare:
• Bull and Bear scores
• RSI
• ATR percentage
• Volume ratio
• Bollinger Band width
• Higher-timeframe trend
Step 5 : Identify which logic suits the market
Do not use mean reversion in a strong trend.
Do not depend only on trend logic in an unstructured range.
Step 6 : Check trade location
Identify nearby support, resistance, previous-day levels, liquidity zones and higher-timeframe structure.
Step 7 : Evaluate risk
Check whether the displayed stop is logically placed and whether sufficient reward is available.
Step 8 : Wait for candle confirmation
Avoid anticipating a signal before the candle closes.
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⚠️ Important Notes
Buy-sell with Multi-logic Trading System is a decision-support indicator, not an automatic guarantee of profitable trades.
The indicator does not know:
• Your account size
• Your maximum permitted risk
• Whether a market-moving announcement is approaching
• Whether a nearby level is personally significant to your analysis
• Whether an option contract has suitable liquidity, delta or implied volatility
• Whether the displayed trade fits your trading plan
When several logic engines are enabled together, a BUY or SELL signal can originate from Trend, Momentum, Breakout or Mean-Reversion conditions.
The current signal marker does not separately label which internal engine generated it. The market condition, dashboard and surrounding price action should therefore be used to interpret the setup.
Always test the indicator on the intended market and timeframe before using it in live trading.
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📈 Final Perspective
Buy-sell with Multi-logic Trading System is designed around one central idea:
**Trade according to the current market regime instead of forcing the same strategy into every market.**
Use Trend Logic when structure is aligned.
Use Momentum Logic when participation and acceleration are increasing.
Use Breakout Logic when price is escaping a well-defined range with confirmation.
Use Mean Reversion only when the market is genuinely balanced and rejecting its boundaries.
The indicator can organise information, filter conditions and define structured risk—but disciplined execution, position sizing and market awareness remain the trader’s responsibility.
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**Educational use only. This indicator does not provide financial advice or guarantee future results.**
Indicator
Order Block Engine [JOAT]═══ ORDER BLOCK ENGINE ═══
Most order-block tools paint a fresh box on every candle and bury the chart. This one does the opposite. It only marks the last opposing-close candle that appears just before a genuine displacement leg — a move that closes through a confirmed swing by more than a volatility-scaled threshold, backed by a volume expansion. The result: only a handful of clean, unmitigated, high-grade zones survive on screen at once.
▎ WHAT IT DOES
It maps institutional-style order blocks, grades each one from 0 to 10 by ★ quality, extends the surviving zones to the right until price mitigates them, and fires a single clean BUY / SELL pill on a valid retest + reaction — complete with an R-multiple TP/SL zone construct. A grey/white and blue-chrome dashboard keeps the running read of structure, bias and zone quality in one corner.
▎ HOW IT WORKS
— Confirmed swing structure. Pivot highs and lows are tracked with a configurable lookback. Each swing stays "unbroken" until price genuinely closes through it.
— Displacement break. A bullish break needs an up-close candle that closes above the last swing high by more than Displacement × ATR ; a bearish break mirrors it below the swing low. ATR scaling means the threshold self-adjusts to any asset or timeframe.
— Volume confirmation. The breaking candle's volume must exceed its own moving-average baseline by the chosen multiplier. On symbols with no volume feed, this filter auto-skips.
— Order-block selection. Once a break is confirmed, the engine walks back through recent bars to find the last opposing-close candle — the down-close before a bullish break, or the up-close before a bearish break. That candle's high/low becomes the zone.
— ★ Grade (0-10). Each block is scored on three factors: how far the break displaced (in ATR), how strong the volume expansion was, and the body-to-range ratio of the origin candle. The composite maps to a 0-10 grade and a tier (WEAK → FAIR → SOLID → STRONG → ELITE).
— Mitigation & signals. Live zones extend right on each bar. If price closes fully through a zone, it is mitigated — frozen and greyed (or deleted). If instead price wicks back into the zone and the bar reacts back out with a close in the right direction, and the block's grade clears your minimum, a BUY / SELL signal fires. One signal per bar, longs take priority.
— Trade construct. On a signal the engine builds an entry line at close, a stop a buffer beyond the zone edge (× ATR), and TP1 / TP2 at your chosen R multiples — drawn as green TARGET and red RISK zone boxes that extend, then freeze when SL or TP2 is touched.
▎ HOW TO USE IT
— Treat the surviving zones as decision areas , not guarantees. A blue zone is a bullish order block; a slate zone is bearish. The ★ tag shows its grade at a glance.
— Wait for price to return into a zone. The engine only signals on a retest + reaction , so you are not chasing the initial impulse.
— Use the BUY / SELL pill's grade (e.g. ★★★★ 7.8/10) as a confidence read — higher grades reflect stronger displacement, volume and candle body.
— The TARGET ZONE and RISK ZONE boxes frame reward against risk before you commit. Entry, SL, TP1 and TP2 are all labelled with their R multiples.
— Grey zones are spent — they have already been mitigated and are kept only as context for prior structure.
— Combine with your own higher-timeframe bias; order blocks aligned with trend tend to be the cleaner reactions.
▎ KEY SETTINGS
— Engine: ATR length, structure pivot width, displacement break multiple, OB candle search depth, and bull/bear toggles.
— Filters: volume expansion on/off with baseline length and multiplier, minimum grade required to signal, and confirm-on-close to avoid intrabar repaint.
— Zones: show zones, max zones kept (4-6 recommended), extension length, fill transparency, ★ grade labels, keep-mitigated-grey toggle, and bull/bear colours.
— Signals & Risk: show BUY/SELL pills, draw TP/SL zone, stop buffer (× ATR), TP1 and TP2 R multiples, projection length, and max trade sets kept.
— Extras: optional zone-reader candle tinting and an optional VWAP + σ band.
▎ DASHBOARD
A compact panel (five positions, three text sizes) reports: current Bias , count of live Bullish and Bearish OBs, the Nearest zone level and its distance in %, the Strongest zone's grade and tier, the Last Mitigated zone, the Active Signal state, and running Signal and Trade W/L tallies. The W/L count is an illustrative record of how the historical construct resolved — not a performance promise.
▎ ALERTS
— OB Bullish Signal — fires on a bullish order-block retest + reaction.
— OB Bearish Signal — fires on a bearish order-block retest + reaction.
Both include ticker and interval in the message.
▎ NOTES
— Works on all timeframes and all assets ; ATR and volume baselines adapt automatically.
— Confirm On Bar Close evaluates detection, mitigation and signals on closed bars only, so confirmed signals do not repaint.
— Everything is toggleable — zones, grades, pills, trade boxes, candles, VWAP and dashboard — for a chart as clean or as detailed as you like.
— The volume filter self-disables on feeds without volume, so nothing breaks on those symbols.
For research and education only. This is not financial advice. No indicator can predict the future, and past behaviour never guarantees future results. Always do your own analysis and manage your own risk.
Made with passion by JackOfAllTrades ⚡ Indicator
Market Structure Shift [JOAT]═══ MARKET STRUCTURE SHIFT ═══
A complete Smart Money Concepts structure engine that reads the market the way institutional flow moves it — mapping every swing and internal shift, tagging each break as BOS (continuation) or CHoCH (reversal), then layering liquidity, premium/discount context, and a structure-anchored risk plan on top. It turns raw price action into a clean, labelled map of who is in control and where the shift happens.
▎ WHAT IT DOES
MSS tracks confirmed pivots and runs them through a two-layer structure state machine. When price closes (or wicks) beyond a protective swing, it draws the break line, labels it BOS or CHoCH, and updates the live trend state. Around that skeleton it adds equal-high/low liquidity marks, a premium/discount/equilibrium range map, an optional structure-anchored SL and Reward:Risk target zone, session VWAP with deviation bands, and a live dashboard summarising the whole picture.
▎ HOW IT WORKS
• Confirmed pivots — swing highs/lows are detected with a symmetric pivot length (bars each side), so a pivot only prints once fully confirmed. A separate, shorter internal pivot length tracks a faster inner structure layer.
• BOS vs CHoCH logic — each layer holds a trend state (bull / bear / range). A bullish break of the last swing high while the state is already bullish is a BOS (continuation); a bullish break while the state was bearish is a CHoCH (change of character / first reversal). The mirror logic applies to bearish breaks.
• Break confirmation — you choose whether a candle must close beyond the level (cleaner) or whether any wick penetration counts.
• Sequence read — every new pivot is classified HH / LH / HL / LL (or EQ) so you can see the higher-high / lower-low rhythm at a glance.
• Liquidity (EQH/EQL) — two consecutive pivots landing within an ATR-scaled tolerance are marked as Equal Highs or Equal Lows — resting liquidity pools where stops cluster.
• Premium / Discount — the active swing range is split into a Premium (upper) zone, a neutral Equilibrium band around the midpoint, and a Discount (lower) zone, so you always know which half of the range price is trading in.
• Structure-anchored risk — on a fresh signal the stop is placed just beyond the swing that would invalidate the shift (plus an ATR buffer), or by a fixed ATR distance. Risk is floored and capped by ATR, and the target is projected at your Reward:Risk multiple.
• VWAP magnet — session-anchored VWAP with inner and outer standard-deviation bands acts as the fair-value reference the structure tends to rotate around.
• ATR normalisation — label spacing, liquidity tolerance and stop distances all scale with ATR, so the tool behaves consistently across assets and timeframes.
▎ HOW TO USE IT
• Read the trend state first: a CHoCH warns the prevailing structure has broken; a following BOS confirms the new leg. Trade with the higher-conviction swing layer and use internal breaks for earlier, finer entries.
• BUY / SELL labels fire on the events you enable (CHoCH, BOS, or both) from your chosen layer — treat them as a structure trigger, not a blind entry.
• Favour longs from the Discount zone and shorts from the Premium zone; the Equilibrium band is neutral / no-man's-land.
• EQH/EQL marks show where liquidity rests — price often sweeps these before a genuine shift, so use them as targets and as traps to avoid.
• When a signal prints, the RISK ZONE (entry→stop, red) and TARGET ZONE (entry→TP, green) boxes project the plan; the SL and TP lines carry exact price and R labels. The zones extend live, then freeze once TP, SL, or the time-out is reached.
• Use VWAP and its bands as confluence — a shift back through VWAP into the opposite σ band is a common rotation target.
▎ KEY SETTINGS
• Structure Engine — swing pivot length, optional internal layer + its length, close/wick break confirmation, ATR length.
• Signals — signal source (Swing / Internal / both) and whether labels fire on CHoCH, BOS, or both.
• Liquidity & Zones — toggle EQH/EQL, equal-level tolerance, premium/discount zones, equilibrium band width, and the floating price-zone tag.
• Risk Model — stop basis (Structure+Buffer or ATR Multiple), buffer/ATR distance, Reward:Risk multiple, min/max risk floors and caps, projection length, max drawn setups.
• VWAP — show VWAP, inner/outer σ multiples, deviation lookback.
• Visuals — swing/internal break display, pivot markers, zone candle colouring, draw limits, and the blue/violet colour scheme.
▎ DASHBOARD
A compact blue/violet panel reports live: overall Trend , the Last Event (Bull/Bear BOS or CHoCH), the current Swing Sequence (e.g. HH · HL), the Internal structure state, the active Price Zone , running BOS and CHoCH counts, Liquidity (EQH/EQL) count, the current Signal , and the symbol/timeframe. Position and text size are adjustable.
▎ ALERTS
Six alertconditions are provided: Bullish BOS, Bearish BOS, Bullish CHoCH, Bearish CHoCH, BUY Signal, and SELL Signal — each with a ready message carrying ticker and interval.
▎ NOTES
• Works on all timeframes and all assets — everything scales with ATR.
• Pivots are confirmed (they need bars to close each side), so structure marks are non-repainting once printed; the price-zone label and dashboard update live on the last bar as expected.
• Every visual layer has a toggle — turn off what you don't need for a clean chart.
• Signals never fire both directions on the same bar; a conflicting wide-range bar is dropped.
For research and education only. This is not financial advice. No indicator can predict the future, and past behaviour does not guarantee future results. Any labels, zones, or counts describe historical price action only. Always do your own analysis and manage your own risk.
Made with passion by JackOfAllTrades ⚡ Indicator
Liquidity Sweep Reversal [JOAT]═══ LIQUIDITY SWEEP REVERSAL ═══
Liquidity Sweep Reversal hunts the stop-run. Price wicks beyond a prior swing high or low to grab resting liquidity, then snaps back inside — and that reclaim is where the reversal often begins. This tool tracks those levels, validates the sweep, and frames a complete trade with stop, targets and live outcome stats. 🎯
▎ WHAT IT DOES
It maps recent swing highs and swing lows as liquidity pools, watches for a candle to pierce one and then close back on the correct side (the reclaim ), and prints a clean BUY or SELL label. Every valid signal is turned into a structured trade: an ATR-based stop beyond the swept wick and three R-multiple targets, all tracked to resolution on a self-scoring dashboard.
▎ HOW IT WORKS
• Liquidity mapping — Confirmed pivot highs and lows (lookback set by Swing Pivot Lookback ) are stored as active levels per side, capped in count and aged out after a maximum bar age so only relevant pools remain.
• Sweep + reclaim — A bullish setup needs the bar to wick below a tracked swing low, then close back above it (sell-side liquidity grabbed). A bearish setup wicks above a swing high, then closes back below it. The reclaim can complete on the sweep bar or within the Reclaim Window you allow.
• Wick-depth gate — The penetration beyond the level is measured in ATR. Too shallow (noise) or too deep beyond the Max Wick cap (a genuine breakout) is rejected, so only clean stop-hunts qualify.
• Confluence filters — Optional volume-spike confirmation, HTF trend alignment (BUY only above a higher-timeframe EMA, SELL only below), directional restriction, dual-side sweep blocking on wide bars, and a signal cooldown all thin the feed.
• Trade construction — Entry is the reclaim close. The stop sits beyond the swept wick by an ATR buffer, then is clamped between a min-risk floor and max-risk cap. That risk (1R) projects TP1 / TP2 / TP3 at your chosen R multiples.
• Outcome engine — Each trade is followed bar by bar. Same-bar stop-vs-target conflicts resolve by your chosen priority, and trades that never reach TP3 or stop are flattened at a bar timeout — every result feeds the stats.
▎ HOW TO USE IT
• A BUY pill under price marks a bullish reclaim; a SELL pill above price marks a bearish one. The dotted level line and SSL / BSL SWEEP tag show exactly which liquidity pool was raided.
• The green target zone spans entry to TP3; the red risk zone spans entry to stop. Lines and left-side labels print entry, SL and each TP with its R value.
• On close, a result label reports the outcome — TP3 , a protected partial TP , SL , or a TIME exit — with the realised R.
• Treat signals as a structured framework, not a black box: strongest reversals tend to appear at obvious swing extremes, with HTF alignment and a volume spike behind them.
▎ KEY SETTINGS
• Engine — pivot lookback, reclaim window, ATR length, tracked levels per side, level age, and signal direction (Both / Long / Short).
• Filters — min/max wick depth, volume-spike confirmation, HTF timeframe + EMA, dual-side blocking, and cooldown bars.
• Trade Model — stop buffer, min/max risk bounds, TP1/TP2/TP3 in R, same-bar priority, trade timeout, and drawn-trade history depth.
• Visuals — toggles for markers, sweep lines, zones, level labels, result labels, optional signal-candle tint, and a session VWAP ± σ band .
▎ DASHBOARD
A compact panel reports live state — Status (Waiting / Armed / Active), current active trade side, last sweep and its level — alongside performance: sweeps detected, signals taken, closed count, win rate , profit factor , average R , bull vs bear win%, current and max win/loss streak , and an optional TP1/TP2/TP3 vs SL/Timeout breakdown. Position and text size are configurable.
▎ ALERTS
• Bullish Sweep (BUY) and Bearish Sweep (SELL) on confirmed entries.
• TP3 Hit , Partial TP Hit (protected exit), and SL Hit on trade resolution.
▎ NOTES
• Works on all timeframes and all assets — instruments without volume simply pass the volume filter.
• Signals confirm on the reclaim close , so a printed BUY/SELL marker does not move once the bar closes.
• Every visual has a toggle — turn off zones, lines, labels or the dashboard for a minimalist chart.
• The on-chart statistics summarise historical signals only and are illustrative, not a forecast.
For research and education only. This is not financial advice. No indicator can predict the future, and past behaviour does not guarantee future results. Always manage your own risk.
Made with passion by JackOfAllTrades ⚡ Indicator
ICT Kill Zone Sniper [JOAT]═══ ICT KILL ZONE SNIPER ⚡ ═══
A session-aware sniper tool that paints every candle by its active kill zone, tracks the liquidity pool each session leaves behind, and fires a single clean BUY or SELL only after price sweeps the prior pool and reverses back inside the current kill zone. Built for traders who wait for the liquidity grab, not the breakout.
▎ WHAT IT DOES
It splits the trading day into four classic kill zones — Asia , London , NY-AM and NY-PM — colors the candles inside each one, and records the high and low that every finished session builds. Those prior highs/lows become the liquidity pools hunted in the next window. When the current kill zone reaches into one of those pools and then closes back through it, the tool marks the sweep and projects a full trade: entry, ATR stop, and an R-based target zone.
▎ HOW IT WORKS
• Kill-zone clock — each session window is evaluated in a chosen wall-clock timezone (New York by default). Membership is na-guarded, so it behaves correctly on any intraday timeframe and simply idles on higher timeframes.
• Session state machine — while a kill zone is live, the tool expands that session's running high and low. When the session ends, that high/low is frozen as the prior liquidity pool and drawn as dashed projection lines carried into the next window.
• Sweep + reversal detection — a high sweep needs price to trade above the prior pool high yet close back below it; a low sweep needs a dip below the prior pool low with a close back above. A Min Sweep Depth (× ATR) filter rejects micro-penetrations caused by spread and tick noise.
• Confirmation — sweeps can be evaluated on confirmed bar close only, so signals do not repaint intrabar. At most one long and one short can print per kill-zone occurrence when the one-per-side lock is on.
• Optional HTF bias — a higher-timeframe EMA (requested with lookahead off) can gate direction: longs only above it, shorts only below it.
• Trade projection — on a valid signal the stop is placed beyond the swept extreme plus an ATR buffer, risk is measured from entry to stop, and the target is set at your chosen R multiple. Reward and risk are drawn as tinted zone boxes with entry/SL/TP lines and level labels.
• Optional VWAP — a session-anchored VWAP with a ±σ band is available as extra context.
▎ HOW TO USE IT
• Wait for a BUY or SELL pill to print inside a colored kill zone — it means the prior pool was swept and price reversed back through it.
• The green zone box is the reward leg toward the R-target; the red zone box is the risk leg to the stop. The label pill shows the session and the R multiple.
• Use the dashed prior high/low lines as the liquidity being hunted this session — signals cluster around them.
• Treat the HTF bias as a directional filter and the sweep tags as confirmation that liquidity was actually taken before you commit.
• Combine with your own structure read; the tool marks the setup, you manage the trade.
▎ KEY SETTINGS
• Kill Zones — timezone plus editable session windows for Asia, London, NY-AM and NY-PM.
• Signal Engine — ATR length, confirm-on-close, one-signal-per-side lock, and minimum sweep depth.
• HTF Bias — toggle, higher timeframe, and EMA length.
• Trade Model — stop buffer beyond the sweep, risk/reward target in R, projection length, and how many past signals to keep.
• Visuals — candle tinting and transparency, session boxes, pools, sweep tags, signal labels, SL/TP lines and zone boxes, VWAP bands, and label size.
• Dashboard — show/hide, position, and text size.
▎ DASHBOARD
A cyberpunk chrome-gradient panel reporting the active session , current session high/low , a countdown to the next kill zone , the HTF bias state, the last liquidity grab side, the active signal with bars-since, the last entry , its stop / target , the current ATR , and a running long / short signal tally .
▎ ALERTS
• KZ Sniper Long — prior-pool low sweep plus bullish reversal inside a kill zone.
• KZ Sniper Short — prior-pool high sweep plus bearish reversal inside a kill zone.
▎ NOTES
• Works across assets; the session logic is intended for intraday timeframes and idles on higher ones.
• Confirm-on-close keeps signals non-repainting; the HTF EMA is requested with lookahead off.
• Nearly every visual has a toggle, so you can strip it down to just the candles and signals for a clean chart.
• Any on-chart tallies reflect historical signals only.
For research and education only. This is not financial advice. No indicator can predict the future, and past behavior does not guarantee future results. Always manage your own risk.
Made with passion by JackOfAllTrades ⚡ Indicator
FVG Sniper [JOAT]═══ FVG SNIPER ═══
A complete Fair Value Gap engine that finds price imbalances, grades their quality, tracks how they fill, mitigate and invert, and then paints a full trade blueprint the moment a clean setup fires. One gap is spotlighted as the strongest, and every signal arrives with entry, three targets, a stop, and colored risk/reward zones — no arrows, no clutter.
▎ WHAT IT DOES
FVG Sniper detects three-candle fair value gaps (imbalances), scores each one from 0–10, and monitors its life cycle: how much of the gap has been filled, whether it has been mitigated (wick-tapped through), and whether price has closed fully through it to flip its role into an Inverted FVG (IFVG) . When a graded gap produces a rejection or an IFVG flip that agrees with the higher-timeframe bias, it draws a structured trade plan and reports the whole picture in a dashboard.
▎ HOW IT WORKS
• Gap detection — a bullish gap forms when the current low sits above the high from two bars back; a bearish gap forms when the current high sits below the low from two bars back.
• Quality filters — each candidate must clear a minimum gap size (as a multiple of ATR ) and a minimum displacement body ratio on the impulse candle, so tiny or weak imbalances are ignored.
• Grade (0–10) — blends gap size, the displacement range of the middle candle, and relative volume into a single score. Only gaps at or above your minimum grade may fire a signal.
• Fill & mitigation — the engine tracks the running extreme inside each gap to compute a live fill percentage, and marks a gap mitigated once a wick fully traverses it.
• Inversion (IFVG) — when price closes fully through a gap, its role flips; the box restyles to a dashed amber accent and the flip is logged.
• Signals — two sources you can mix or isolate: Rejection (price retraces into a live gap and reacts back out with a directional close) and IFVG Flip (a mitigated gap is closed through, confirming continuation).
• HTF bias filter — an optional higher-timeframe EMA bias must agree with the signal direction before it is allowed.
• Trade model — on a fresh signal it sets entry at close, a stop either gap-protected (just beyond the triggering gap boundary) or ATR-based, with risk clamped between a floor and a cap. Targets TP1/TP2/TP3 are placed at your chosen R multiples.
• Non-repainting — all detection, scoring and signals evaluate on confirmed (closed) bars only, and the HTF request uses no lookahead.
▎ HOW TO USE IT
• Trade in the direction of the BUY / SELL pill. The stars and score on the pill show the grade of the gap that triggered it.
• The entry line (chrome), dashed stop , and TP1/TP2/TP3 lines map the plan directly on the chart; level labels on the right print exact prices and R values.
• The green zone is the target/reward area from entry to TP3; the red zone is the risk area between entry and stop — a fast visual read of the trade's R:R.
• A single ★ spotlight tags only the strongest active gap, so you always know the best imbalance in view.
• Use live gaps as decision zones: watch the fill % of the nearest gap, and treat an IFVG flip as a shift in short-term control.
• When a trade closes, a result label prints the outcome (TP hit, stop, or exit at R) so completed setups stay readable.
• Combine with your own structure, session and news context — the gap engine locates the where , you confirm the when .
▎ KEY SETTINGS
• Engine — enable bullish/bearish detection, choose the signal source (Rejection, IFVG Flip, or both), and cap how many gaps stay visible plus their lifetime and box extension.
• Filters — ATR length, minimum gap size, minimum displacement body ratio, minimum grade, the HTF bias filter (timeframe + EMA length), and whether a directional rejection close is required.
• Trade Model — stop basis (Gap-Protected vs ATR), stop buffer/distance, risk floor and cap, TP1–TP3 in R, max trade duration, zone projection, and how many completed trades to keep.
• Visuals — toggle gap boxes, midline, hide-mitigated declutter, grade spotlight, IFVG styling, signal pills, zone boxes, lines, level and result labels, zone-reader candle coloring, optional VWAP + σ bands, and all colors/transparency/sizes.
• Dashboard — show/hide, position, text size, and dark or light panel.
▎ DASHBOARD
The on-chart panel reports: HTF bias, count of active bullish and bearish gaps, the nearest gap price and its fill %, the strongest gap's star grade, the last IFVG flip (with bar age), the active signal, any live trade with its entry, and running totals of bullish / bearish / inverted gaps detected.
▎ ALERTS
• BUY signal
• SELL signal
• Bullish IFVG Flip (inversion up)
• Bearish IFVG Flip (inversion down)
▎ NOTES
• Works on all timeframes and all assets — indices, forex, crypto, stocks, futures.
• Signals and drawings are computed on closed bars, so they do not repaint after the bar confirms.
• Object caps and hide-mitigated / declutter toggles keep the chart clean even on long histories.
• Any on-chart result labels reflect historical signals only and are illustrative, not a performance guarantee.
For research and education only. This is not financial advice. No indicator can predict the future, and past behavior does not guarantee future results — always manage your own risk.
Made with passion by JackOfAllTrades ⚡
Indicator
Dynamic Market Metrics [MarkitTick]💡 All-in-one market analysis suite designed to unify trend evaluation, momentum measurement, and dynamic risk management into a single, cohesive interface. Rather than relying on a scattered array of disparate indicators, this unified system synthesizes multiple dimensions of market data—including volatility, money flow, and higher-timeframe confluence—to provide a comprehensive structural overview of the current asset. It visually maps trend direction, plots actionable trade risk levels, and features a real-time heads-up display (HUD) dashboard to track critical market internals without cluttering the charting workspace.
● Overview
✨ Originality and Utility
Traditional technical analysis often forces traders to compromise between lagging trend followers and noisy momentum oscillators. This script solves that divergence by integrating an adaptive trend baseline with volume-weighted momentum constraints. It is unique in its ability to automatically map forward-looking risk-to-reward brackets the moment a structural shift is confirmed. Instead of guessing where to place stops and targets, the system calculates these thresholds dynamically based on real-time volatility, offering a strictly objective framework for trade management. This eliminates the need for messy chart mashups, replacing them with a highly organized, singular logic engine.
🔬 Methodology and Concepts
The core engine of this tool operates on an abstracted synthesis of price volatility and money flow dynamics.
The primary trend anchor is established by evaluating average true price ranges against the flow of capital entering or exiting the asset.
Rather than relying on simple price crosses, the baseline only shifts when confirmed by underlying volume and momentum pressures.
A specialized breakout override mechanism constantly monitors for abnormal momentum spikes. If a sudden surge in directional velocity exceeds the baseline volatility threshold, the system immediately recalculates the trend state to adapt to the new market structure.
Trade levels are generated using a dynamic risk parity model. The system measures the precise distance between the confirmed entry trigger and the structural invalidation point, projecting synchronized target tiers that maintain strict mathematical risk-to-reward ratios.
All higher-timeframe data integration is strictly coded using offset historical referencing, ensuring absolute data integrity and preventing any future leakage or repainting artifacts.
🎨 Visual Guide
The script utilizes a clean, professional aesthetic, heavily reliant on dynamic colors and structured dashboard elements.
• The Trend Anchor and Cloud
Trend Line: A distinct, segmented line that tracks the primary market direction. It colors dynamically based on the active state (Bullish, Bearish, or Neutral).
Dynamic Cloud: A semi-transparent filled area bridging the primary trend line and a smoothed reference baseline. The thickness of this cloud visually represents the immediate strength and momentum of the trend.
Candle Coloring: Chart candles are painted to match the active trend state, providing instant visual alignment with the underlying engine.
• Trade Levels and Signals
Signal Markers: Minimalist labels appear above or below the price action to indicate confirmed structural shifts.
Stop Loss (SL) Line: A solid line representing the exact invalidation point of the active trend.
Entry Line: A dashed line marking the exact price where the signal was confirmed.
Take Profit (TP) Lines: A series of three dashed lines representing incremental target zones.
Risk/Reward Fills: Shaded background zones visually map the risk area (Entry to SL) against the reward area (Entry to TP3), allowing for immediate visual risk assessment.
• The HUD Dashboard
Located in the top right corner, this data table provides a real-time read of market internals:
Trend State & HTF Context: Displays the current directional bias on both the local and higher timeframes.
Entry, Target, and SL: Prints the exact numerical values for the active trade parameters.
Momentum & Money Flow: Visual progress bars indicating the current intensity of price movement and capital flow.
Volatility: Indicates whether the market is currently in a state of expansion or contraction.
Trend Age: A counter showing exactly how many bars have elapsed since the current trend began.
📖 How to Use
The system is designed to be highly objective. Monitor the chart for a confirmed signal marker, which indicates a shift in the underlying structural trend. Once a signal fires, the script will automatically render the Entry, Stop Loss, and Take Profit levels.
Validation: Before considering the signal, check the HUD Dashboard. A high Momentum score and an aligned Higher Timeframe (HTF) Context significantly increase the probability of continuation.
Execution: Use the exact printed Entry line for placement. The Stop Loss line dictates the hard invalidation point where the premise of the trend is broken.
Management: As price moves in the anticipated direction, manage the position by scaling out or moving protective stops as the asset crosses the TP1, TP2, and TP3 thresholds.
Breakouts: If a sudden momentum burst triggers an override, the trend state will flip immediately. Treat these as aggressive volatility expansions that require tighter risk management.
⚙️ Inputs and Settings
The settings panel is modularized for precise user control:
• Core & Breakout
ATR Mult & Length: Adjusts the core sensitivity of the volatility engine. Lower values create a tighter, more reactive baseline.
BO Override & Sens: Toggles the momentum breakout detection and dictates how much abnormal velocity is required to override the primary trend.
• Higher Timeframe (HTF)
Show HTF & TF: Enables the integration of a secondary, longer-term timeframe to act as a directional filter.
• Trade Tools & Cloud
Show Trade Levels: Toggles the rendering of the dynamic Entry, SL, and TP lines.
Cloud Settings: Controls the length, transparency, and rendering of the visual trend cloud and candle coloring.
• Alerts & Colors
JSON Action Strings: Allows users to input custom formatted strings for Long, Short, and Close actions, perfectly integrating with automated third-party execution platforms.
Colors: Fully customizable palettes for all lines, fills, dashboards, and signal markers.
🔍 Deconstruction of the Underlying Scientific and Academic Framework
The architectural foundation of this system rests on auction market theory and the statistical properties of volatility clustering. Financial markets operate through continuous auctions where price discovery is driven by the aggressive absorption of resting liquidity. This engine abstracts that process by measuring the standard deviation of price excursions—quantifying the asset's true range—and mapping it against the directional flow of capital.
By analyzing the divergence between pure price action and volume-weighted accumulation, the system identifies the true mean of value. When price deviates beyond these statistical bounds accompanied by extreme momentum, it signals a structural paradigm shift rather than a standard mean-reversion event. Furthermore, the embedded risk parity model abandons static numerical thresholds in favor of dynamic proportional scaling. The reward brackets are continuously mathematically linked to the localized volatility of the anchor point, ensuring that the risk-to-reward distribution remains statistically constant regardless of the asset's current expansion or contraction phase.
⚠️ 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
Adaptive Trend Cloud [JOAT]═══ ADAPTIVE TREND CLOUD ═══
A volatility-adaptive ATR SuperTrend that breathes with the market. Instead of a fixed multiplier, the band width auto-scales to the live volatility regime, then paints a filled cloud to a signal EMA, colors your candles by trend strength, and drops ATR-anchored SL/TP zones on every confirmed flip. One clean, self-contained trend engine with a cyberpunk chrome readout.
▎ WHAT IT DOES
It tracks the prevailing trend with a SuperTrend line whose ATR multiplier adapts to how volatile price currently is — wider in turbulence to avoid whipsaw, tighter in calm to catch turns earlier. The space between that line and a signal EMA is filled as a Trend Cloud , candles are shaded by how far price sits from the line, and momentum-confirmed BUY / SELL labels fire only when trend, regime, and momentum agree.
▎ HOW IT WORKS
• Adaptive multiplier — current ATR is percentile-ranked against its recent window to place volatility on a 0–1 scale. The base multiplier is then scaled up or down within an adjustable range, so high volatility widens the bands and low volatility narrows them.
• SuperTrend core — upper and lower bands are built from your chosen price basis (hl2, close, or ohlc4) ± adaptive-multiplier × ATR, and direction flips when price closes through the opposite band.
• Trend Cloud — a fill is drawn between the SuperTrend line and an EMA (which doubles as the regime filter), tinted green in uptrends and red in downtrends.
• Trend strength — measured as the distance from close to the SuperTrend line in ATR units, clamped and normalized so roughly 3 ATR reads as fully saturated. This drives the candle and cloud gradient from weak to strong.
• Momentum confluence — an optional filter requiring RSI above/below its midline, or MACD histogram sign, to agree with the flip direction.
• Signal logic — a BUY needs a bullish flip plus price above the EMA plus momentum agreement; a SELL needs the mirror. All three conditions must line up.
• SL/TP zones — on each signal, stop distance is ATR × your SL multiple, TP1 sits at 1R, and TP2 at your risk:reward ratio; boxes, lines, and labels live-extend forward while the trade runs, then freeze on the next flip.
▎ HOW TO USE IT
• Trade with the cloud: green cloud and green-shaded candles favor longs, red favors shorts.
• Treat BUY / SELL labels as your trigger — they only appear on a confirmed flip that also passes the EMA and momentum filters.
• Use the RISK ZONE (red) and TARGET ZONE (green) boxes to frame a trade at a glance: entry line, dashed SL, dotted TP1 at 1R, and TP2 at your chosen R multiple.
• Read candle brightness as conviction — deeply saturated candles mean price is stretched from the line and the trend is strong; pale candles signal a weakening or fresh move.
• Optionally enable the VWAP + σ bands for an intraday mean-reference and to gauge stretch from the session average.
• Combine with your own structure, higher-timeframe bias, and levels — this is context, not a standalone system.
▎ KEY SETTINGS
• Engine — ATR length, base multiplier, adaptive range (0 = fixed multiplier), volatility rank window, and band source.
• Filters — signal/trend EMA length, momentum toggle, RSI vs MACD, RSI length and midline.
• Risk — show zones on/off, SL in ATR units, risk:reward ratio, zone projection length, and how many past zones to keep.
• Visuals — cloud toggle and transparency, gradient candles, line/EMA/label toggles, VWAP bands and σ, label size, and the four bull/bear gradient colors.
• Dashboard — show/hide, panel position, and text size.
▎ DASHBOARD
A compact chrome panel reports live: current Direction , the Adaptive Multiplier in effect, the Volatility Regime (Low / Normal / High with a percentile), Trend Strength %, Bars In Trend , Distance To Flip in ATR, the Active Signal state, the current ATR value, and whether Momentum is aligned or divergent.
▎ ALERTS
• Bull Flip — SuperTrend turns up with price above EMA and momentum aligned.
• Bear Flip — SuperTrend turns down with price below EMA and momentum aligned.
• Any Flip — either signal fires.
Each includes ticker and interval placeholders.
▎ NOTES
• Works on any market and any timeframe — the adaptive engine re-ranks volatility to whatever chart you load.
• Signals confirm on the close of the flip bar and do not repaint after that bar closes.
• Fully self-contained with no external libraries; every visual layer (cloud, candles, zones, VWAP, dashboard) has its own toggle so you can keep the chart as clean as you like.
For research and education only. This is not financial advice. No indicator can predict the future, and past behavior does not guarantee future results. Always do your own analysis and manage your own risk.
Made with passion by JackOfAllTrades ⚡ Indicator
Opening Range Breakout Session Strategy [JOAT]Opening Range Breakout Session Strategy
Locks the opening range of your session, then trades disciplined, capped breakouts beyond it with fully framed risk.
What it is
The first minutes of a session set the day's battle lines. The opening range — the high and low forged during that early window — is where overnight orders, gap fills and early positioning collide, and price leaving that range tends to keep going. This indicator builds the opening range objectively, trades confirmed breakouts from it, and enforces the discipline that makes the approach workable: a session filter and a hard daily trade cap. It is an original implementation of the widely-used opening-range-breakout concept.
How it works
• Opening range — during a user-defined opening window (09:30–10:00 by default, in your chosen timezone) the tool records the high and low, then locks them as the reference range and draws a clean box with labelled ORH and ORL levels.
• Session and daily reset — signals are only allowed inside a separate trade-session window, and the range clears cleanly on each new day using a real day-change test, so nothing carries over stale.
• Breakout logic — a Buy fires on a confirmed close above the range high plus a small ATR buffer; a Sell on a confirmed close below the range low minus the buffer. The buffer filters marginal pokes through the edge.
• Discipline — a hard cap of N trades per day plus a minimum-bar spacing control prevent the range edges from generating repeated signals as price oscillates around them.
Trade framing
Each signal projects a red risk box and a green reward box. The stop is either the opposite opening-range edge (structure-based, the default) or an ATR distance, and the three targets ladder out in R multiples with labelled entry, stop and take-profit prices. Extension levels at 1R and 2R from the range edges are also projected as context for where a breakout may travel.
The dashboard
An adjustable session ticket shows the current phase (pre-open, opening, session or locked), the range size, the bias relative to the range, a breakout-extension meter, the trades used against the daily cap, the active signal, and a live first-target-before-stop tally from closed bars only.
How to use it
• Set the opening window, trade session and timezone to match your market (index or futures cash open, an FX session, or a crypto day boundary).
• Wait for the range to lock, then take confirmed breakouts; use the opposite edge as your invalidation and the extension levels as context.
• Respect the daily cap — the discipline is part of the method, not an afterthought.
Settings
Opening-range and trade-session windows, timezone, ATR length, stop mode and multiplier, breakout buffer, target R multiples, maximum trades per day, plus full visual and dashboard controls.
Originality and usefulness
Opening-range breakout is a public concept; the contribution here is the complete, disciplined implementation — objective range locking, a strict session and daily-reset model, buffered confirmed-close breakouts, structure-based stops at the opposite edge, and integrated non-repainting trade framing — explained so each control's purpose is clear.
Notes and limitations
• Range-bound sessions produce whipsaws around the edges; the buffer and daily cap reduce but do not remove this.
• Breakouts fail regularly — the opposite-edge stop and R-based targets exist precisely for that reason.
• Session settings must match the instrument, or the range will be measured at the wrong time.
• The win tally reflects only past bars on the current chart and is not a forecast.
• Educational and analytical tool, not financial advice.
— made with passion by officialjackofalltrades
Indicator
TJR Smart Money Model [JOAT]TJR Smart Money Model
An original, non-repainting build of the smart-money day-trading sequence: sweep liquidity, wait for a market-structure shift, confirm with SMT, then enter the retrace — timed to killzones.
What it is
Most "smart money" tools just spray BOS and CHoCH labels wherever price crosses a line. This one follows the actual process the method teaches, as an ordered sequence, and only signals when each step has happened in the right order. It is written from scratch; it implements widely-taught price-action concepts (liquidity, structure, displacement, SMT, killzones) rather than reusing anyone's code.
The sequence it trades
• Liquidity sweep — price raids an obvious swing high or low (where stops rest) and closes back inside. The failed raid, not the level itself, is the trigger. Sweeps are tagged, and the swept buy-side and sell-side liquidity are drawn and labelled.
• Market structure shift (MSS) — after the sweep, a displacement candle (a body larger than an ATR multiple) must break the short-term structure in the opposite direction. Structure is tracked one break per level: each swing can only produce one BOS or CHoCH, so the labels land exactly where the shift occurs instead of being repeated on every bar. This is the direct fix for the "random label" problem common to naive structure scripts.
• SMT divergence — an optional confluence filter. Set a correlated instrument and the tool checks whether that instrument confirms the sweep's new extreme. If your symbol makes a new low but the correlated one does not (or the mirror for highs), that break in correlation is flagged as SMT and can be required for entries. It is read with lookahead disabled, so it never borrows future data.
• Entry — once the MSS confirms, the tool marks the discount/premium zone: the fair-value gap left by the displacement, or the 50% equilibrium of the reversal leg. A signal fires when price retraces into that zone and reacts, inside a user-selected killzone (London and New York AM by default). The stop rests beyond the swept liquidity — the level that invalidates the idea — and targets ladder out in R multiples inside red-risk and green-reward boxes with labelled entry, stop and take-profit prices.
The dashboard
An adjustable "process card" shows exactly which stage the market is in right now — hunting a sweep, swept and awaiting an MSS, or shifted and awaiting the entry retrace — plus the bias, the SMT state, the active killzone, a conviction reading, the current signal, and a live first-target-before-stop tally computed on closed bars only.
How to use it
• Works on any asset and timeframe; it was designed for intraday index, forex and futures trading but the logic is scale-independent.
• For SMT, pair correlated instruments (for example two related indices, or two correlated currency pairs). Leave the correlated symbol blank to trade the model without the SMT filter.
• Set the killzones and timezone to the session you actually trade, or disable the killzone filter to see signals around the clock.
• Read the dashboard stage before acting: the model is a sequence, and the highest-quality entries are the ones where sweep, shift, SMT and killzone all agree.
Settings
Pivot strength, displacement size, sweep-to-MSS and MSS-to-entry windows, fair-value-gap and order-block controls, equilibrium band thickness, SMT symbol and toggle, killzone windows/timezone, candle paint, risk padding and target R multiples, plus dashboard controls.
Originality and usefulness
The value is the ordered, gated state machine: a sweep must precede a displacement-qualified structure shift, which arms an equilibrium/FVG entry, optionally cross-checked against a correlated instrument and a session window. The once-per-level structure logic and the confirmed-bar evaluation make the labels and signals precise and non-repainting — which is what separates this from a pile of overlaid smart-money drawings.
Notes and limitations
• The model is selective by design; on quiet days or ranges it may produce few or no setups. That is intended.
• SMT is only meaningful with a genuinely correlated symbol; a poor pairing produces misleading divergence.
• Displacement and sweeps are defined algorithmically and may differ slightly from a discretionary trader's manual reading.
• The win tally reflects only past bars on the current chart and is not a prediction of future results.
• Educational and analytical tool, not financial advice. Manage your own risk.
— made with passion by officialjackofalltrades
Indicator
Cardwell Dual Confluence [MarkitTick]💡 A comprehensive momentum and trend-following framework built to identify high-probability market shifts. By synthesizing Andrew Cardwell's established Relative Strength Index (RSI) range rules with dynamic trend filtering and volatility metrics, this tool provides a unified analytical engine. It moves beyond standard oscillator readings to map the underlying momentum regime, ensuring that signals are structurally aligned with the dominant trend.
● ✨ Originality and Utility
Traditional momentum oscillators often produce premature reversal signals during strong trends, leading to false entries in directionless markets. This indicator solves that problem by integrating a dual-tier confluence model. It does not rely solely on an isolated RSI moving average crossover; instead, it demands structural validation through Cardwell's defined momentum ranges.
The primary utility lies in its objective structural filtering: a momentum cross is only validated if the broader market regime structurally supports the direction of the momentum.
By combining a base timeframe momentum cross with a Higher Timeframe (HTF) trend regime and Average Directional Index (ADX) volatility filtering, this tool prevents overtrading in choppy, non-directional environments.
This deliberate combination of an oscillator, a trend filter, and a volatility metric acts as a logical confluence engine. It avoids the pitfalls of disjointed indicator mashups by ensuring every component serves a distinct mathematical purpose in validating the signal before it is printed to the chart.
● 🔬 Methodology and Concepts
The logic engine of this tool evaluates multiple distinct criteria before registering a valid signal.
• Momentum Crossover
The script calculates a base RSI and smooths it using two Running Moving Averages (RMA): a Fast RMA and a Slow RMA. A baseline momentum shift occurs when the Fast RMA crosses the Slow RMA, indicating a localized surge in buying or selling pressure.
• Regime Mapping
A structural trend is evaluated by comparing the closing price to a Simple Moving Average (SMA). Simultaneously, a secondary RSI is evaluated against Cardwell's defined structural ranges. A Bullish Regime requires the price to be above the SMA and the RSI to hold within a specific upper tier (defaulting to 40-80). A Bearish Regime requires the price to be below the SMA and the RSI to hold within a lower tier (defaulting to 20-60).
• Confirmation and Confluence
Regimes must persist for a user-defined number of consecutive bars to filter out transient market noise. Confluence is achieved when an RMA momentum crossover occurs within a tight, predefined window of a regime shift, ensuring both immediate momentum and the structural trend are perfectly aligned.
• Higher Timeframe and Volatility Verification
An optional HTF module checks the regime state of a larger timeframe using a strict non-repainting historical offset. Furthermore, the ADX is calculated to measure pure trend strength. If the ADX is below the user-defined minimum threshold, the market is deemed too choppy, and all signals are suppressed.
• Dynamic Trade Architecture
Once a signal is validated strictly on a confirmed bar close, the script projects dynamic Stop Loss and Take Profit levels using a multiplier of the Average True Range (ATR), actively adapting the trade geometry to current market volatility.
● 🔍 Deconstruction of the Underlying Scientific and Academic Framework
The analytical foundation of this tool rests on advanced momentum physics and statistical distribution theories.
• Cardwell RSI Range Theory
Developed by Andrew Cardwell, this theory posits that the Relative Strength Index is not merely an overbought/oversold oscillator, but a powerful trend-identifying metric. In a mathematically robust uptrend, the RSI establishes a baseline support near the 40 level and frequently reaches 80. Conversely, in a downtrend, it establishes resistance near 60 and drops to 20. The indicator algorithmically enforces these limits to objectively classify market environments.
• Running Moving Average (RMA) Dynamics
The script utilizes the RMA, also known as the Modified Moving Average (MMA) or SMMA, to smooth the RSI base. The RMA applies an exponential smoothing weight defined exactly as 1 / length . This specific mathematical weighting retains a longer memory of past data compared to a standard SMA, preventing the abrupt drop-offs that occur when large data points exit a simple moving average window. This makes the RMA crossover highly sensitive to genuine shifts in cumulative momentum without the lag of a standard exponential moving average.
• Average Directional Movement Index (ADX)
Created by J. Welles Wilder, the ADX quantifies trend strength independent of directional vector. By calculating the smoothed moving averages of the +DI and -DI directional movement indicators, the ADX isolates the absolute magnitude of price expansion. The script uses this mathematical isolation to construct an absolute threshold; requiring ADX to exceed a base level ensures that the statistical probability of trend continuation is mathematically viable before capital is exposed.
• Volatility-Scaled Projection (ATR)
Take profit and stop loss coordinates are mapped using Wilder's Average True Range. The ATR measures the greatest of the current high minus the current low, the absolute value of the current high minus the previous close, and the absolute value of the current low minus the previous close. By scaling targets using ATR multipliers, the tool shifts from fixed-point geometry to dynamic, standard-deviation-aligned targeting, ensuring targets expand during high volatility and contract during consolidation.
● 🎨 Visual Guide
The tool employs a clean, visually dynamic chart interface to transmit complex data instantly without cluttering the workspace.
• Heatmap Candles
Candle bodies and wicks are dynamically colored based on the active regime. Teal indicates a confirmed Bullish Regime, Red indicates a Bearish Regime, and Gray indicates a Neutral market state.
• Signal Labels
When all confluence parameters are met on a confirmed bar close, a solid blue "BUY" label appears below the bar, or an orange "SELL" label appears above the bar, complete with strict execution markers.
• Dynamic Trade Levels
Upon signal generation, the tool plots projected trade levels extending to the right of the price action. A solid Red line indicates the Stop Loss threshold. A dashed Blue line denotes the Entry price. Dashed Teal lines represent Take Profit 1, 2, and 3. Labels accurately print the precise price levels directly on the chart axis.
• Risk and Reward Fills
A semi-transparent Red linefill is plotted between the Entry and Stop Loss lines to visualize risk exposure, while a Teal fill between Entry and TP3 visualizes the total projected reward structure, allowing for instant visual evaluation of the trade setup.
• Integrated Dashboard
A comprehensive table is positioned on the chart, displaying real-time operational metrics. It details the current Cross Trend, Regime State, Confirm Bar count, Signal Gap status, Last Signal source, Trade Status, live ATR value, TP3:SL ratio, and HTF/Chop Filter states in an easy-to-read grid.
● 📖 How to Use
Deploying this tool requires patience and strict adherence to structural confirmation.
Wait for the Heatmap Candles to shift from Gray (Neutral) to Teal (Bullish) or Red (Bearish). This indicates that the broader moving average trend and the internal RSI ranges have aligned into a confirmed structural regime.
Observe the chart for a printed BUY or SELL label. This confirms that the RMA momentum cross has achieved mathematical confluence with the active regime within the defined allowable window.
Check the Dashboard to ensure the HTF Regime and Chop Filter (ADX) read as PASS. If the market is blocked by the Chop Filter, do not force an entry, as the statistical probability of a sustained run is low.
Upon entry, utilize the plotted ATR lines to structure your risk. Place your stop loss exactly at the solid red line, and scale out of your position at the dashed TP1, TP2, and TP3 levels as price action develops.
Wait for the Signal Gap cooldown period to elapse before considering consecutive entries in the same direction. This engineered delay prevents overexposure during erratic, volatile spikes.
● ⚙️ Inputs and Settings
The script features highly customizable parameters grouped logically for maximum workflow efficiency.
• Core Settings
Adjust the lengths for the Cross RMA (Fast/Slow) and the primary RSI source. Modify the Trend MA length and explicitly set the boundaries for the Bull Range (default 40-80) and Bear Range (default 20-60). Configure the Confluence Window to define exactly how close a cross and regime shift must occur to trigger a valid signal, and set the Signal Gap cooldown timer.
• Filters
Toggle the HTF Confirmation logic and select the desired higher timeframe for broader structural alignment. Enable the ADX Chop Filter and set the minimum required trend strength to strip out low-probability environments.
• Trade Tools
Define the ATR lookback length and customize the specific multipliers for the Stop Loss and the three Take Profit targets to match your unique risk-to-reward requirements. Modify the Line Extend Bars input to control how far into the future the trade levels are drawn.
• Visuals and Dashboard
Toggle individual visual components, including candle coloring, signal labels, and trade level plotting. Position the dashboard to any corner of the chart to prevent the obstruction of live price action.
• Alerts
Input specific JSON string payloads for Long, Short, Close Long, Close Short, SL, and TP actions. This allows the indicator to integrate seamlessly with automated execution platforms or third-party webhooks without requiring manual code modifications.
⚠️ 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
Supply & Demand Order Blocks [JOAT]Supply and Demand Order Blocks
Detects institutional order blocks from displacement, tracks them until mitigated, and signals reactions when price returns to a fresh zone.
What it is
Large participants cannot fill size at a single price, so they leave a footprint: the last opposing candle before an aggressive, imbalanced push. That candle marks the zone where unfilled orders rest and where price often returns to be re-accumulated or re-distributed. This indicator locates those zones objectively, manages their lifecycle, and frames the reaction as a trade. It is an original order-block engine with strict zone management.
How it works
• Displacement — the engine measures each impulsive leg over a short window against an ATR multiple. Only moves that exceed that threshold (optionally requiring a fair-value gap) count as institutional displacement, filtering out ordinary candles.
• Order block — the last opposing candle before a qualifying displacement is stored as a zone: the last down candle before a bullish push becomes demand, the last up candle before a bearish push becomes supply.
• Zone management — active blocks are held in parallel arrays, drawn as boxes extended to the right, faded by age and saturated by displacement strength, pruned once mitigated (price closes through them), and capped at a live maximum so the chart stays clean.
• Signals — a Buy fires when price taps a fresh demand block and closes back up (a bullish rejection); a Sell is the mirror at a supply block. An optional trend filter keeps you buying demand in uptrends and selling supply in downtrends, and a minimum-age plus minimum-gap rule stops a freshly formed block from self-triggering and prevents clustering.
Trade levels
Each signal draws a red risk box from entry to a stop placed beyond the block and a green reward box to the third target, with inner dividers and right-edge labels for entry, stop and each take-profit at your R multiples.
The dashboard
An adjustable order-flow-depth panel shows the trend bias, the live counts of demand and supply blocks, the distance to the nearest zone, a conviction estimate, the active signal, and a live first-target-before-stop tally from closed bars only.
How to use it
• Works on any asset and timeframe; larger timeframes produce fewer, more significant blocks.
• Trade reactions at fresh, unmitigated zones aligned with the trend filter; treat mitigated zones as spent.
• Use the nearest-zone distance to anticipate where a reaction may occur before it happens.
Settings
Displacement window and ATR size, fair-value-gap requirement, maximum live blocks and extension, minimum block age, trend filter length, risk buffer and target R multiples, plus visual and dashboard controls.
Originality and usefulness
The contribution is the full lifecycle model: an ATR-based displacement filter, objective block selection, age-and-strength-aware zone rendering, mitigation-based pruning, and a self-trigger guard — combined with a trend-filtered, non-repainting reaction signal and explained end to end.
Notes and limitations
• Not every tap of a zone reverses; blocks can and do break, which is why mitigation pruning and stops exist.
• Order-block definitions vary between traders; this engine uses one consistent, disclosed definition.
• The tally reflects only past bars on the current chart and is not a forecast.
• Educational and analytical tool, not financial advice.
— made with passion by officialjackofalltrades
Indicator
Quant Confluence Engine [JOAT]Quant Confluence Engine
Scores several independent market factors into one weighted composite, so signals fire on agreement across dimensions rather than on any single trigger.
What it is
Single-factor signals are fragile: a momentum cross, a moving-average flip or a volume spike each fails often on its own. This engine measures several independent factors, normalises them to a common scale, and blends them into one bipolar confluence score. A signal is produced only when enough factors line up, and the transparency of the score lets you see exactly why. It is an original scoring framework, not a bundle of overlaid classic indicators.
How it works
• The factors — the engine evaluates a set of complementary dimensions, each capturing a different aspect of the tape: trend alignment, momentum, volatility regime, volume behaviour, price structure and stretch relative to a mean. Each factor is computed with a standard, well-understood method and then scaled so it contributes fairly.
• Normalisation — every factor is converted to a bounded contribution, so no single input can dominate the composite purely because of its raw magnitude.
• Composite score — the contributions are combined into one signed 0-centred score. Positive means the factors lean bullish, negative bearish, and the magnitude expresses how strong the agreement is.
• State-machine signals — a Buy fires when the score crosses into sufficient bullish agreement from a non-bullish state; a Sell is the mirror. Because a signal requires a genuine state change, the engine will not re-fire the same direction bar after bar — signals are self-spacing by construction.
Trade levels
Each signal draws a red risk box to the ATR stop and a green reward box to the third target, with inner dividers and right-edge labels for entry, stop and each take-profit at your R multiples.
The dashboard
An adjustable factor-grid panel shows each factor's current lean (up or down) alongside a bipolar composite-score headline, the active signal, a conviction reading, and a live first-target-before-stop tally from closed bars only. The grid makes it obvious which factors are driving or vetoing a setup.
How to use it
• Works on any asset and timeframe; the factors adapt to the data.
• Read the grid before acting — a signal backed by broad agreement differs from one carried by a single strong factor.
• Raise the agreement requirement for fewer, higher-conviction signals, or lower it for more frequent ones.
Settings
Per-factor lengths and weights, the agreement threshold, ATR risk multiple and target R multiples, plus visual and dashboard controls.
Originality and usefulness
The value is the framework itself: a normalised, weighted multi-factor score with a transparent per-factor readout and a state-machine trigger that prevents signal spam. It is designed so a trader can inspect the reasoning, not just accept a label — which is precisely what a confluence approach should offer.
Notes and limitations
• Confluence reduces some false signals but does not remove them; correlated factors can all be wrong together in unusual conditions.
• Weighting is a design choice — different weights suit different markets, so treat the defaults as a starting point.
• The tally reflects only past bars on the current chart and is not a prediction.
• Educational and analytical tool, not financial advice.
— made with passion by officialjackofalltrades
Indicator
Volatility Squeeze Breakout [JOAT]Volatility Squeeze Breakout
Finds volatility compression — when Bollinger Bands contract inside the Keltner Channel — and signals the directional release with a built-in energy gauge.
What it is
Markets alternate between coiling and expanding. This indicator detects the coil using the classic squeeze relationship between two well-known volatility envelopes, quantifies how much energy has built up, and then signals the breakout in the direction momentum actually resolves. It is an original implementation with a charge model and full trade framing, not a bare squeeze dot script.
How it works
• The squeeze — a squeeze is on when the Bollinger Bands (price standard deviation) contract entirely inside the Keltner Channel (ATR-based). This means realised volatility has fallen below its typical range and the market is compressing.
• Charge / energy — while the squeeze persists, the tool tracks how long and how tightly the market has been coiled and expresses it as a 0–100 charge. A longer, tighter coil stores more potential energy for the eventual expansion.
• Momentum direction — a smoothed momentum measure determines which way the coil is leaning, so the breakout is read directionally rather than as a neutral event.
• The release — a Buy fires when the squeeze releases with rising positive momentum; a Sell fires when it releases with falling negative momentum. The release is a discrete event, and a minimum-gap control prevents repeated prints around the same break.
Trade levels
On a signal, a red risk box marks entry to the ATR stop and a green reward box marks entry to the third target, with inner dividers and right-edge labels for entry, stop and each take-profit at your R multiples.
The dashboard
An adjustable energy-gauge panel shows the squeeze state, the charge that had accumulated at the moment of release, the momentum direction, a conviction estimate, the active signal, and a live first-target-before-stop tally from closed bars only.
How to use it
• Works on any asset and timeframe; volatility cycles exist at every scale.
• Watch the charge build during a squeeze, then act on the release in the momentum direction.
• Higher charge readings indicate a longer coil, which some traders treat as a higher-quality setup — but a big coil can still resolve in either direction, so the momentum gate matters.
Settings
Bollinger length and multiplier, Keltner length and ATR multiplier, momentum length, release and charge options, risk multiple and target R multiples, plus visual and dashboard controls.
Originality and usefulness
The squeeze concept is public domain; the value added here is the charge model that turns coil duration and tightness into a readable energy figure, the directional momentum gate on the release, and the integrated non-repainting trade framing — combined and explained so a trader can see exactly why each breakout is flagged.
Notes and limitations
• Squeeze breakouts can fail or fake out; a release does not guarantee follow-through.
• The charge measures compression, not direction — always confirm with the momentum reading and your own context.
• The tally reflects only past bars on the current chart and is not a prediction.
• Educational and analytical tool, not financial advice.
— made with passion by officialjackofalltrades
Indicator
Adaptive Momentum Ribbon [JOAT]Adaptive Momentum Ribbon
An eight-layer moving-average ribbon whose colour is driven by live momentum and whose compression flags the coil before the move.
What it is
A single moving average tells you very little. A ribbon of them, fanned by speed, tells you three things at once: direction (the colour), strength (how wide it fans) and turning points (where it squeezes and flips). This indicator builds that ribbon and adds a momentum core and a compression detector so the ribbon is not just decorative — it gates the signals.
How it works
• The ribbon — eight exponential moving averages from fast to slow, with an optional light second smoothing pass for cleaner turns. When the fast layers sit above the slow layers the stack is bullish, and vice versa.
• Momentum core — a rate-of-change normalised by ATR and then smoothed. This value is mapped onto a colour gradient, so a strong trend glows saturated while a fading one drifts toward neutral. The same value gates entries, so you buy strength rather than every flip.
• Compression detector — the width between the fastest and slowest ribbon lines is ranked as a percentile over a lookback window. A low percentile means the market is coiled; a move out of that coil is the tradable expansion. Coils are highlighted so you can see energy building.
• Flip signals — a Buy prints when the ribbon flips up out of (or just after) a compression with positive momentum; a Sell is the mirror. Because a flip requires the stack to actually reverse, signals are naturally spaced, and a minimum-gap control adds a further safeguard against clustering.
Trade levels
Each signal draws a red risk box to the ATR-based stop and a green reward box to the third target, with inner target lines and right-edge price labels for entry, stop and every take-profit at your chosen R multiples.
The dashboard
An adjustable panel shows trend direction, a block-gradient momentum meter with a signed headline value, the compression state (coiled or expanded), a 0–100 conviction estimate, the current signal, and a live first-target-before-stop tally from closed bars only.
How to use it
• Works on all assets and timeframes; the ribbon adapts to whatever data it is given.
• Use the coil highlight to prepare for a move and the flip-with-momentum signal to time it.
• Require the coil filter for cleaner, fewer signals in choppy markets, or relax it for more responsive trend entries.
Settings
Base length and layer step, source, optional smoothing, momentum length and smoothing, signal momentum gate, compression window and percentile threshold, risk multiple and target R multiples, plus visual and dashboard controls.
Originality and usefulness
The combination is the point: a speed-fanned ribbon, an ATR-normalised momentum gradient that both colours the ribbon and filters signals, and a percentile-ranked compression model that isolates coils. Together they turn a familiar visual into a structured, non-repainting trend-and-expansion tool.
Notes and limitations
• Moving averages lag by nature; the ribbon confirms trend, it does not call exact tops or bottoms.
• In strong one-way trends the compression filter may keep you out of some continuation entries — that is the intended trade-off for fewer false flips.
• The tally reflects only past bars on the current chart and is not a forecast.
• Educational and analytical tool, not financial advice.
— made with passion by officialjackofalltrades
Indicator
Cardwell Range Analyze [MarkitTick]💡 A comprehensive, all-in-one technical analysis suite designed to decode market regimes, identify high-probability momentum shifts, and automate risk management visualization. Built upon the foundation of Andrew Cardwell's advanced Relative Strength Index (RSI) theories, this tool transcends traditional oscillator analysis. Rather than relying on static overbought and oversold thresholds, it dynamically tracks regime shifts by observing where momentum consolidates. When combined with trend confirmation, volatility-based targets, and directional movement filters, it provides a holistic view of the market state directly on your chart.
✨ Originality and Utility
Most traders utilize momentum oscillators in a vacuum, searching for mean-reversion signals at arbitrary boundaries. The utility of this script lies in its departure from that static approach. It introduces a multifaceted evaluation system that cross-references momentum bands with structural trend data. By integrating a Higher Timeframe (HTF) directional filter and an Average Directional Index (ADX) volatility threshold, it systematically filters out market noise and chop.
Its originality shines through the automated Trade Tools suite. Upon detecting a valid regime shift, the indicator instantly projects Average True Range (ATR) based Stop Loss and Take Profit levels, complete with risk-to-reward zoning. This allows traders to visually assess the mathematical viability of a setup before execution. The inclusion of a real-time diagnostic dashboard further elevates its utility, offering a heads-up display of all underlying metrics without cluttering the primary price action.
🔬 Methodology and Concepts
● Cardwell RSI Framework
Traditional RSI theory dictates that an asset is overbought at 70 and oversold at 30. However, the foundational concept here relies on range shifts. In a robust uptrend, RSI rarely reaches 30; instead, it finds support around 40 and can push up to 80. Conversely, in a downtrend, RSI encounters resistance around 60 and can fall to 20. This script mathematically codifies these ranges.
● Regime Confirmation
A raw regime is identified when the price resides on the correct side of the Trend Moving Average (SMA) while the RSI operates within the corresponding Cardwell range. To eliminate premature signals, a confirmation threshold requires the market to sustain this raw state for a consecutive number of bars.
● Structural and Volatility Filtering
To ensure signals align with macro momentum, the script queries a higher timeframe's trend state using non-repainting historical referencing. Additionally, the ADX is calculated to measure the absolute strength of the current trend. If the ADX falls below the minimum threshold, the market is deemed sideways, and signals are suppressed.
● Dynamic Risk Mapping
Once a validated signal fires, the script calculates dynamic price levels based on current market volatility (ATR). The Stop Loss is mapped at a fractional multiplier against the entry, while Take Profit levels are projected at linear multiples, mapping out a structured trade lifecycle.
🎨 Visual Guide
● Heatmap Candles
The standard price candles are dynamically recolored to reflect the prevailing market regime.
Teal Candles: Indicate a confirmed Bullish Regime.
Red Candles: Indicate a confirmed Bearish Regime.
Gray Candles: Indicate a Neutral state where conditions are mixed.
Black Wicks/Borders: Maintain visual clarity regardless of the body color.
● Trade Levels and Zones
When a signal triggers, specific horizontal projections appear on the chart:
Entry Line: A dashed blue line representing the closing price of the signal bar.
Stop Loss (SL) Line: A solid red line marking the invalidation point.
Take Profit (TP1, TP2, TP3) Lines: Dashed teal lines marking incremental profit targets.
Risk Fill: A translucent red background shading the area between the Entry and the Stop Loss.
Reward Fill: A translucent teal background shading the area between the Entry and the highest Take Profit.
● Dashboard
A specialized table anchored to the chart corner providing real-time data:
Regime: Displays current state (BULLISH, BEARISH, or NEUTRAL) in respective colors.
RSI Value: A visual progress bar measuring current RSI against a 100-scale, color-coded by intensity.
Trend & Ranges: Explicit text readouts of the current MA trend direction and defined RSI boundaries.
ADX Strength: A progress bar indicating the conviction of the trend.
📌 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
● Interpreting Regimes
Monitor the color of the candles. A transition from Gray to Teal suggests a bullish momentum shift aligning with the underlying trend. This is your primary directional bias. You should generally look for buying opportunities when candles are Teal and selling opportunities when they are Red.
● Acting on Signals
When all conditions (Cardwell Range, Trend MA, HTF Trend, and ADX Chop Filter) align, a BUY or SELL label will populate below or above the price. These represent active momentum shifts.
● Managing Risk
Do not trade blindly on signals. Upon a signal firing, visually inspect the red Risk Zone versus the teal Reward Zone. Ensure the projected Stop Loss aligns with logical market structure (like a recent swing low or high). Use the progressive TP1, TP2, and TP3 lines to scale out of positions as the market moves in your favor.
● Monitoring the Dashboard
Keep an eye on the ADX Strength bar in the dashboard. If the bar is predominantly empty and red, the market is consolidating. Wait for the ADX bar to fill and turn orange or green before expecting strong follow-through on any signals.
⚙️ Inputs and Settings
• Core Settings
RSI Length: The lookback period for momentum calculation (default 14).
Trend MA Length: The lookback period for the primary structural trend baseline (default 50).
• Filters
Bull/Bear Ranges: The upper and lower bounds for the Cardwell RSI shifts.
Regime Confirm Bars: The consecutive number of bars required to validate a new regime.
Use HTF Confirmation: Toggles the higher timeframe trend filter.
HTF Timeframe: Select the specific higher timeframe to query (e.g., 240 for 4-hour).
Use Chop Filter: Toggles the ADX volatility requirement.
ADX Min Strength: The threshold value ADX must exceed to allow signals.
• Trade Tools
ATR Length: The lookback period for volatility modeling.
SL/TP Multipliers: Fractional inputs to dictate how wide the Stop Loss and Profit Targets are projected relative to the ATR.
• Alerts
Action Strings: Customizable JSON payload strings for integrating with third-party automated execution platforms via webhooks.
🔍 Deconstruction of the Underlying Scientific and Academic Framework
This indicator synthesizes three foundational pillars of quantitative market analysis: momentum distribution, structural mean, and volatility modeling.
First, it deconstructs the Relative Strength Index, initially formulated by J. Welles Wilder Jr. in 1978. Wilder mathematically defined momentum as the ratio of average gains to average losses. However, the Cardwell extension incorporated into this script addresses a fundamental flaw in Wilder's fixed bounding by applying regime-dependent probability distributions. In a positively skewed asset (uptrend), the probability mass of the RSI shifts upward, meaning a reading of 40 represents a statistically significant mean-reversion point (oversold) rather than 30.
Second, the script applies directional movement theory via the Average Directional Index (ADX). The ADX smooths the differences between the positive and negative directional indicators (+DI and -DI) to isolate the scalar strength of the trend vector, devoid of direction. By requiring a minimum ADX threshold, the algorithm mathematically enforces a non-stationary environment, filtering out random walk (white noise) conditions where momentum signals carry no statistical edge.
Finally, the projection of trade levels utilizes the Average True Range (ATR). ATR is a rigorous measure of the variance in asset prices, accounting for opening gaps and limit moves. By mapping target boundaries as functional multiples of ATR, the script ensures that standard deviation and local market dispersion strictly govern risk parameters, adapting dynamically to expanding or contracting market distributions.
⚠️ 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
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
Citadel Microstructure Edge [JOAT]CITADEL MICROSTRUCTURE EDGE
A tribute to the high-frequency / market-making style of microstructure-edge extraction. Builds three orthogonal microstructure signals — tick imbalance (which side is aggressively crossing the tape), spread tightness (how thin the bid-ask is relative to its baseline), and micro momentum (the EMA-pair spread on the fastest timeframe) — then composes them into a single decaying edge value with an exponential half-life. When the edge crosses a configurable threshold and has sustained for N bars same-sign, a directional signal fires. Cooldown plus asymmetric lockout keep the signal stream institutional.
Three orthogonal components
Each component is computed independently and Z-normalised (optional for tick imbalance) for stationarity:
Tick Imbalance — LTF-reconstructed buy/sell tick classification. Output is the rolling imbalance bounded in ; optionally Z-normalised over a configurable window (default 60 bars) for cross-asset stationarity. The dominant input for fast / scalping reads.
Spread Tightness — (H − L) / C against its own EMA-smoothed baseline, Z-scored. Tight spread (low relative range) is constructive for whichever side momentum favours. The sign is borrowed from the micro-momentum factor.
Micro Momentum — EMA-fast minus EMA-slow on the tick-reconstructed flow, Z-scored. The directional engine.
Default weights (0.45 / 0.25 / 0.45) bias the read toward the two most-actionable components (tick imbalance + momentum), with spread tightness as confirmation. Optional auto-normalisation to sum=1.
Decaying edge with half-life ~ 3 bars
Microstructure edges decay quickly. The script does not just sum the three components per bar — it accumulates with decay :
edge_t = decay × edge_{t−1} + contribution_t
The default decay (0.78) gives the edge a half-life of approximately 3 bars — the standard market-making decay window. Older contributions fade out automatically; new contributions get incorporated immediately. This is the institutional way to track a fast signal without re-introducing flicker.
Sustained-edge signal logic
Edge Threshold (default 0.75) — minimum |edge| magnitude required to fire.
Sustained Edge (default 5 bars same sign) — the edge must have held its sign for N consecutive bars before a signal fires. This is the script's most important false-positive filter.
Cooldown (default 7 bars) — minimum bars between signals.
Asymmetric lockout (default ON) — an opposite-side signal CAN fire during cooldown. This means a quick flip from buy to sell remains responsive while consecutive same-side signals are suppressed.
Visual system
Edge histogram — projected at the top of the chart at a configurable percent of price (default 2% of price, 1.2% top padding). Histogram columns are coloured by edge sign with magnitude-proportional intensity. At a glance you see the edge's recent trajectory.
Buy / Sell labels with optional Unicode lightning glyph (toggleable to plain ">").
Slope-tinted micro ribbon — the micro fast / slow EMAs plotted with a translucent fill coloured by spread sign. Toggleable.
Subtle background shade by edge sign (off by default).
A locked Crimson Pulse palette: electric blue buy edge / lime-yellow sell edge / muted neutral on a deep crimson-black ground — the institutional HFT aesthetic.
Dashboard
9-row monospaced table positionable to any of nine corners. Surfaces:
Edge value with status (BUY / SELL / FLAT).
Tick imbalance value.
Spread tightness Z.
Micro momentum Z.
Sustained-edge counter (how many consecutive same-sign bars).
Last signal direction with bars-ago.
Decay setting and effective half-life.
Cooldown remaining.
Configuration: LTF, weights, threshold.
Alerts
Three alert conditions, each independently controllable:
Edge Buy
Edge Sell
Sustained Edge (N bars same sign) — the script's headline alert; fires before the signal does, useful as an early-warning notification.
{image]https://www.pulsewire.com/x/ybVYCAr3/
How to read it
Three reads, in order of conviction:
Sustained edge into a structural level — the highest-conviction read. The microstructure has been one-sided for N+ bars AND price is at a known S/R; the next move into the level usually breaks it.
Edge buy / sell with all three components agreeing — fast directional commitment. The dashboard's per-component rows tell you whether the read is dominated by tick imbalance (aggressive tape) or by micro momentum (sustained direction) or by spread tightness (regime-aware confirmation).
Edge above threshold but not sustained — early-warning state. Edge has crossed threshold but the sustained counter has not yet reached N. Watch the counter — if it ticks up bar-by-bar, the signal is forming; if it drops, the edge is decaying.
Suggested settings
Defaults (1m LTF, spread EMA 14 / Z 60, micro EMA 3/8 / Z 60, weights 0.45/0.25/0.45, edge threshold 0.75, sustain 5 bars, decay 0.78, cooldown 7 bars) are tuned for 5m–15m charts on liquid futures and crypto where microstructure has meaningful presence. For 1m scalping drop LTF to 15s (Premium required) and sustain to 3 bars. For HTF the script is not the right tool — microstructure edges decay too quickly to be meaningful on 1H+ timeframes.
Originality
The implementation — the three-component microstructure pipeline (tick imbalance + spread tightness + micro momentum), the LTF tick-rule reconstruction with optional Z-normalisation, the weighted-sum composition with auto-normalisation, the exponential-decay edge accumulator with configurable half-life, the sustained-edge counter and asymmetric-lockout signal logic, the price-anchored histogram render at the top of the chart, the slope-tinted micro ribbon, and the Crimson Pulse palette — is JOAT-original. No third-party code reused. The script is a tribute to Citadel-style market-making microstructure-edge extraction, not a direct replication of any proprietary Citadel code.
Limitations
Reconstructed tick direction is an inference — the tick rule is the accepted public-market proxy but is not a direct read of bid/ask. Sub-minute LTFs require a PulseWire Premium or Ultimate plan. Microstructure edges decay fast by design; on 1H+ timeframes the engine produces few signals — that is correct behaviour, not a bug.
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-made with passion by jackofalltrades
Indicator
AQR Momentum Factor [JOAT]AQR MOMENTUM FACTOR
A tribute to AQR Capital Management's seminal momentum-factor research — including Asness's classic "Value and Momentum Everywhere" framework. The script estimates cross-horizon momentum by ranking returns across five independent look-back horizons (default 1, 5, 20, 60, 120 bars — including the AQR-canonical 12-1 month equivalent), volatility-adjusting the result, and producing a composite momentum score in that fires Buy / Sell labels when the score crosses configurable thresholds.
Why cross-horizon ranking
A single momentum lookback is fragile. AQR's published research (Asness, Moskowitz, Pedersen, and others) shows that momentum is best estimated by agreement across horizons — when short-, medium-, and long-term momentum all point the same way, the signal is much more reliable than any single horizon alone. The script encodes that directly:
Five horizons — 1 / 5 / 20 / 60 / 120 bars by default (configurable independently).
At each horizon the return is percentile-ranked against its own trailing 252-bar (trading year) distribution.
The five percentile ranks are mapped from to (50% → 0; 100% → +1; 0% → −1).
The composite is the average of the five mapped ranks.
The output is bounded in and represents how unusual current momentum is relative to its own recent history, averaged across timeframes .
Volatility adjustment (optional but on by default)
The composite is divided by a volatility Z-score over a configurable window (default 60 bars), clamped at a Z cap (default 2.5) to avoid division-by-zero blow-ups. This dampens signals during high-volatility regimes — which is what AQR's "low-vol momentum" research finds is the genuinely tradeable component of the factor.
When vol-adjustment is off, the score is raw cross-horizon momentum. When it is on, the score is risk-adjusted momentum, which is the institutional read.
Signal engine
BUY — composite > buy threshold (default +0.70 → top ~15% across horizons).
SELL — composite < sell threshold (default −0.70).
Extreme High / Low alerts — composite > +0.90 / < −0.90. The script's strongest reads.
A configurable Min Bars Between Same-Side Signals (default 5) prevents clustering. A confirm-on-close toggle (default ON) ensures non-repaint signals.
Bar colouring — strict 2-hue discipline
The chart bars are coloured by the sign of the composite, with saturation proportional to magnitude. The "Bar Color Saturation Floor" input controls how aggressively the colour fades when momentum is weak — at 0 the bars are always full colour; at 1 they fade toward background when momentum is weak. The defaults (0.65) produce a clean institutional read where strong-momentum bars stand out and weak-momentum bars merge into the background.
A hidden composite-line plot (toggleable) opens a pane below the chart for users who want to see the score itself, or feed it to Data Window / webhook automation.
Visual system
Buy / Sell labels on threshold crosses (configurable size).
Bar colouring by signed momentum with saturation floor.
Hidden composite line (toggleable, pane).
Light regime background (off by default) — very subtle bgcolor sampled from bull/bear.
A locked Golden Blaze palette: gold bull / oxblood bear / off-white neutral on a dark-slate ground — the classic AQR institutional aesthetic. Strict 3-hue discipline + bg.
Dashboard
Monospaced table positionable to any of nine corners. Surfaces:
Composite score with signed value.
Per-horizon percentile ranks (h1 / h2 / h3 / h4 / h5).
Horizon agreement count (how many horizons agree with the composite sign).
Volatility Z value and adjustment factor in use.
Last signal direction with bars-ago.
Configuration: rank window, vol window, thresholds.
Alerts
Four alert conditions, each independently controllable:
BUY (composite crosses above buy threshold)
SELL (composite crosses below sell threshold)
Extreme Score (|composite| crosses extreme high or low)
Horizon Disagreement (off by default) — fires when horizons split (~half above 50%, half below). Useful as a "no edge" warning.
How to read it
Three reads, in order of conviction:
Extreme score with full horizon agreement — the highest-conviction read. All five horizons agree, the score is in the top 10% / bottom 10% of its own distribution, and vol-adjustment has not damped it. This is the institutional setup.
Buy / Sell with vol-adjustment active in a low-vol regime — the "low-vol momentum" setup AQR's research identifies as the strongest factor exposure. Pair with a directional execution tool.
Horizon disagreement alert — stand-aside signal. Some horizons say bull, some say bear; there is no momentum factor exposure available. Wait for agreement to return.
Suggested settings
Defaults (horizons 1/5/20/60/120, rank window 252, vol window 60, vol Z cap 2.5, ±0.70 thresholds, ±0.90 extreme) are tuned for daily charts on broad indices — the timeframes where momentum factor exposures are statistically most meaningful. For lower timeframes drop all horizons proportionally (1/5/15/30/60) and the rank window to 200. For weekly+ keep defaults; momentum on weekly is the canonical factor.
Originality / what's reused
The momentum factor is published academic finance — Jegadeesh & Titman 1993, Asness 1994, AQR's "Value and Momentum Everywhere" 2013. The 252-bar / one-year ranking window is the classical institutional convention. The implementation here — the five-horizon configurable engine, the ta.percentrank -based ranking pipeline, the linear remap, the volatility-Z adjustment with clamp, the saturation-floored bar-colouring with strict 2-hue discipline, the horizon-disagreement alert logic, and the AQR Golden Blaze palette — is JOAT-original. No third-party code reused. The script is a tribute to AQR's published methodology, not a direct replication of any proprietary AQR model.
Open source
Published open-source under the default Mozilla Public License 2.0. The horizon pipeline, the ranking engine, the vol-adjustment routine, the signal engine, and the dashboard are isolated modules. Forks welcome with credit.
Limitations
The 252-bar ranking window assumes a daily chart for the "trading year" interpretation; on lower timeframes the window represents a different real-world horizon. The momentum factor is well-documented historically but, like all factor exposures, it can underperform for extended periods — the dashboard's horizon-agreement count is the script's own early warning when the factor is breaking down. Vol-adjustment is on by default because it is statistically supported; turn it off only for research.
—
-made with passion by jackofalltrades
Indicator
