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 ⚡ อินดิเคเตอร์
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 ⚡ อินดิเคเตอร์
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 ⚡ อินดิเคเตอร์
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 ⚡
อินดิเคเตอร์
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 ⚡ อินดิเคเตอร์
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
อินดิเคเตอร์
Reversal Confluence Sniper [JOAT]Reversal Confluence Sniper
Hunts exhaustion reversals by requiring several independent exhaustion signals to appear together, so it fades stretched moves with confirmation rather than hope.
What it is
Fading a trend is dangerous when done on a single cue. This indicator only flags a potential reversal when multiple, independent signs of exhaustion coincide at the same moment — turning a risky counter-trend guess into a confluence-gated setup. It is an original reversal engine, not a lone oscillator flip.
How it works
The engine looks for several exhaustion conditions and requires enough of them to align:
• Momentum extreme — an oscillator reaching and rolling over from an overextended level, showing the push is losing force.
• Volatility stretch — price extended a statistically large distance from a mean or band, marking an unsustainable move.
• Rejection candle — a wick or close that rejects the extreme, showing the aggressive side failed to hold new ground.
• Participation — a volume or effort read that flags climax or fade behaviour rather than steady continuation.
A Buy (bullish reversal) prints when enough downside-exhaustion factors align; a Sell when enough upside-exhaustion factors align. A minimum-gap control prevents repeated prints while a market chops around an extreme.
Trade levels
Each signal draws a red risk box to a stop placed beyond the exhaustion extreme 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. Placing the stop beyond the extreme respects the idea that if price makes a new extreme, the reversal thesis is wrong.
The dashboard
An adjustable sniper-scope panel shows which exhaustion factors are currently active, a combined conviction reading, the active signal, and a live first-target-before-stop tally from closed bars only, so you can see how much confluence backs each setup.
How to use it
• Works on any asset and timeframe.
• Most effective for timing entries at the end of a stretched move, ideally into a higher-timeframe level or zone.
• Because it fades momentum, pair it with structure or a level tool and keep stops disciplined — reversals that do not confirm should be cut quickly.
Settings
The exhaustion factor lengths and thresholds, the number of factors required to trigger, risk multiple and target R multiples, plus visual and dashboard controls.
Originality and usefulness
The contribution is the confluence gate itself: several independent exhaustion measures that must agree before a counter-trend signal is allowed, with a transparent readout of which factors fired and integrated, non-repainting trade framing. It is designed to make fading safer by demanding evidence, not to promise reversals.
Notes and limitations
• Counter-trend trading is inherently higher risk; strong trends can stay stretched far longer than expected and overrun any reversal signal.
• Requiring more factors reduces false signals but also reduces frequency — this trade-off is yours to set.
• 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
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ORB & Session Liquidity Model [JOAT]ORB and Session Liquidity Model
Builds the opening range for your chosen session, maps the liquidity around it, and signals breakouts with session-aware trade control.
What it is
The first minutes of a session set a reference range that the rest of the session repeatedly reacts to. This indicator defines that opening range, tracks the liquidity sitting above and below it, and signals confirmed breakouts — with session timing, a daily trade cap and full trade framing built in. It is an original session-driven model, not a generic breakout line.
How it works
• Opening range — during a user-defined opening window (for example the first N minutes of your session), the tool records the high and low. Once the window closes, that range is locked as the reference for the rest of the day and drawn as a box.
• Session logic — the model resets cleanly each new day using a real session-change test, so counters and levels do not carry stale values across sessions. Trading is only permitted inside the active session window you define.
• Liquidity ladder — levels around the range (its extremes and projections) are drawn and labelled as the liquidity price is likely to seek. These give context for where a breakout may run to or reverse from.
• Breakout signals — a Buy fires on a confirmed close beyond the range high plus a buffer; a Sell on a confirmed close below the range low minus the buffer. A per-day maximum-trades cap and a minimum-gap control prevent the level from generating repeated prints as price oscillates around it.
Trade levels
Each breakout draws a red risk box to the 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. Stops relate to the range, which is the structure the trade is based on.
The dashboard
An adjustable session-console panel shows the current session phase (pre-range, range building, or live), the locked range, the directional bias relative to it, the trades used against the daily cap, the active signal, a conviction estimate, and a live first-target-before-stop tally from closed bars only.
How to use it
• Set the opening window and session to match the market you trade (indices, futures, forex sessions, crypto day boundaries).
• Wait for the range to lock, then trade confirmed breakouts in the direction of your bias; use the liquidity ladder for targets and invalidation.
• The daily cap keeps the model disciplined — respect it rather than overriding on every wiggle.
Settings
Opening-range window, session hours, breakout buffer, maximum trades per day, liquidity options, risk multiple and target R multiples, plus visual and dashboard controls.
Originality and usefulness
Opening-range breakout is a known concept; the contribution here is the integrated liquidity mapping around the range, the strict session reset and daily trade governance, the confirmed-close breakout logic, and the full non-repainting trade framing — assembled into one session-aware model and explained so each element's role is clear.
Notes and limitations
• Breakouts can fail, and range-bound sessions produce whipsaws around the levels — the buffer and daily cap reduce but do not eliminate this.
• Session settings must match the instrument; a mismatched window will define the range at the wrong time.
• 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
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Institutional VWAP Bands [JOAT]Institutional VWAP Bands
An anchored VWAP with standard-deviation bands that classifies price as cheap, fair or expensive and offers two complementary playbooks: mean reversion and trend pullback.
What it is
VWAP is the benchmark institutions measure their own fills against — the market's running notion of fair value. Standard-deviation bands around it map where price is stretched relative to that benchmark. This indicator runs an anchored VWAP with three band pairs and turns them into a structured, non-repainting decision tool rather than a plain VWAP line.
How it works
• Anchored VWAP — volume-weighted average price accumulated from a chosen anchor (session, week or month) with a controlled reset, so the reference restarts cleanly each period.
• Sigma bands — three pairs of bands at one, two and three standard deviations of price around VWAP, computed from the same volume-weighted variance. These define the stretch zones.
• Value state — every bar is classified with a z-score into cheap, fair or expensive relative to VWAP. This drives the colour system and the dashboard.
• Mean-reversion fades — when price is stretched to the outer bands against the higher-timeframe trend and then reclaims back inside, a fade toward VWAP is signalled. The reclaim requirement is deliberate, so you are not blindly catching a falling knife.
• Trend-pullback entries — in a trend, a retracement to VWAP or the first band that holds is a discount entry in the trend direction. Both playbooks are labelled by type, and Buy/Sell are mutually exclusive with a minimum-gap control.
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. For reversion signals the first target is clamped toward VWAP so it always sits on the profit side of entry.
The dashboard
An adjustable value-ladder panel shows the value state, the z-score, the trend bias, the active playbook and signal, a conviction estimate, and a live first-target-before-stop tally from closed bars only.
How to use it
• Choose the anchor that matches your style: session for intraday, week or month for swing context.
• Fade the outer bands only against the trend and with a reclaim; take pullbacks to VWAP with the trend.
• Works across assets and timeframes, though the anchor should suit the timeframe you trade.
Settings
Anchor period, VWAP source, three band multipliers, trend filter length, reversion trigger, ATR risk multiple and target R multiples, plus visual and dashboard controls.
Originality and usefulness
VWAP and deviation bands are standard building blocks; the contribution here is the explicit two-playbook logic (reclaim-based reversion versus trend pullback), the value-state classification that ties colour, dashboard and signals together, and the reversion target clamp — combined into one coherent, non-repainting framework and fully explained.
Notes and limitations
• VWAP is most meaningful on instruments with reliable volume; on symbols without real volume the bands lose accuracy, which is stated here honestly.
• Reversion trades against a strong trend carry inherent risk even with the reclaim filter.
• 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
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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
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ICT Liquidity Sweep & Structure [JOAT]ICT Liquidity Sweep and Structure
A smart-money workflow that maps resting liquidity, detects stop-hunt sweeps, and reads market structure shifts on one clean overlay.
What it is
This tool organises several well-known smart-money / ICT concepts into one coherent, non-repainting engine and — importantly — explains how the pieces reinforce each other rather than just stacking them. The premise: price is drawn to pools of resting orders (old highs and lows), often sweeps them to trigger stops, and then reveals its true intent through a structure break. The indicator makes each of those steps visible and gates its signals on their confluence.
How it works
• Liquidity levels — confirmed swing highs and lows (pivots) are drawn as buy-side liquidity (above old highs) and sell-side liquidity (below old lows) lines, each labelled with its price. These mark where stops are likely resting.
• Liquidity sweeps — a sweep is detected when price trades through one of these levels and then closes back on the original side, i.e. the level was raided but not accepted. This is the classic stop-hunt footprint and is the setup trigger.
• Market structure (BOS / CHoCH) — the engine tracks the live sequence of swings. A Break of Structure confirms trend continuation; a Change of Character is the first counter-break that flips the internal bias. Both are labelled on confirmed closes.
• Fair value gaps — three-bar imbalances left by displacement are drawn as zones and used as entry confluence, since price often rebalances them.
• Confluence gate — a Buy requires a bullish sequence (a sweep of sell-side liquidity followed by a bullish structure shift, optionally aligned with a fair-value gap); a Sell is the mirror. Buy and Sell are made mutually exclusive so both never print on the same bar, and a minimum-spacing control prevents clustering.
Trade levels
Each signal renders a red risk box from entry to stop and a green reward box from entry to the third target, with inner target dividers and right-edge labels for entry, stop and each take-profit at your R multiples. The stop is anchored to the structure that produced the signal, not to a fixed distance.
The dashboard
An adjustable panel summarises the current structural bias, the most recent liquidity event, the nearest untapped level, a conviction estimate, the active signal, and a live first-target-before-stop tally computed only on closed bars.
How to use it
• Suitable for any asset and timeframe; the concepts are scale-independent, though very low timeframes produce more noise.
• Use the liquidity lines to anticipate where price may be drawn next, and wait for a sweep-plus-structure confluence rather than acting on a raw level touch.
• Combine with a higher-timeframe bias for directional filtering.
Settings
Pivot strength, liquidity extension, sweep sensitivity, fair-value-gap minimum size, structure options, risk multiple and target R multiples, plus full colour and dashboard controls.
Originality and usefulness
Rather than plotting isolated ICT drawings, this engine chains them into a single logical sequence — liquidity, sweep, structure shift, imbalance — and only signals when that sequence agrees. The description of why those components belong together, and the confirmed-bar evaluation that keeps them honest, is what distinguishes it from a generic structure plotter.
Notes and limitations
• Structure and sweeps are defined algorithmically; discretionary traders may mark them slightly differently.
• Signals confirm on bar close, which trades a small amount of immediacy for stability and no repainting.
• The on-chart 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
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Whale Order Flow Radar [JOAT]Whale Order Flow Radar
Reconstructs institutional order-flow pressure from standard OHLCV and flags the footprints large participants leave behind — without needing tick or bid/ask data.
What it is
Most volume tools only tell you that "a lot traded". They do not tell you who was aggressive or which side absorbed the flow. This indicator estimates aggressor pressure from the one thing every chart gives you — the open, high, low, close and volume of each bar — and turns it into a readable map of accumulation, distribution and absorption. It is an original engine built from scratch; it is not a wrapper around a built-in volume study.
How it works
The calculations are transparent and each one is standard statistics applied in a specific way:
• Whale prints — every bar's volume is converted to a z-score against a rolling mean and standard deviation (default 50-bar window). A bar is only tagged as a whale print when its volume is a statistical outlier and it closes with conviction (the close lands in the upper or lower third of the bar's range). Requiring both filters separates genuine directional size from random spikes.
• Delta proxy — each bar's volume is split into buy volume and sell volume by where price closed inside its own range (close near the high = buyers dominated, close near the low = sellers dominated). Delta is buy minus sell. This is a bounded, non-repainting estimate of aggressor delta; it is a proxy, not true tick delta, and the description is honest about that.
• Cumulative delta — the running sum of the delta proxy, with an optional reset per session or week so it does not drift indefinitely.
• Absorption — high volume combined with an unusually small range flags a passive iceberg soaking up flow. These are marked separately because they often precede reversals rather than continuations.
• Pressure oscillator — a smoothed, volume-normalised delta that drives the colour system and gates the signals so you are reading strength, not every wiggle.
The signals
A Buy prints when a bullish whale print lands while the cumulative delta and an optional trend filter both agree; a Sell is the mirror. Everything is evaluated on the confirmed bar, so a printed signal does not repaint. A minimum-bar spacing control keeps Buy and Sell labels from stacking on lower timeframes.
Trade levels
When enabled, the most recent signal draws an ATR-based ladder: a stop level and three take-profit levels at your chosen R multiples, each labelled with its price on the right edge, so the intended risk and reward are visible at a glance.
The dashboard
A compact panel reports the current trend bias, the pressure reading, a 0–100 conviction estimate for the latest print, the active signal state, and a live win tally (how often the first target was reached before the stop, measured only on already-closed bars with no lookahead). The panel position and text size are adjustable.
How to use it
• Works on any symbol and any timeframe that provides volume; on symbols with no real volume the delta components are less meaningful, which is noted here honestly.
• Treat whale prints and absorption as context, not as automatic entries — combine them with your own structure read.
• Use the trend filter to only take prints in the direction of the higher-level bias, or turn it off for counter-trend fade setups.
• The conviction score and win tally are on-chart context to help you filter, not a performance promise.
Settings
Volume baseline window, whale z-score threshold, conviction fraction, absorption threshold, delta smoothing and reset, trend filter length, ATR risk multiple and target R multiples, plus full visual and dashboard controls.
Originality and usefulness
The value here is the specific combination: a dual-filter whale detector (outlier volume and close-in-range conviction), a bounded close-based delta proxy with cumulative tracking, a separate absorption model, and a normalised pressure oscillator that ties them together into one non-repainting signal. That blend, and the reasoning for it, is what makes it more than a standard volume histogram.
Notes and limitations
• The delta and pressure figures are estimates derived from OHLCV, not exchange order-flow data. They approximate aggressor behaviour; they do not measure it directly.
• No indicator predicts the future. Signals can and will fail, especially in thin or news-driven conditions.
• The win tally reflects only what has already happened on the loaded chart and is not a forecast of future results.
• This is an educational and analytical tool, not financial advice. Manage your own risk.
— made with passion by officialjackofalltrades
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Risk Navigator Levels [JOAT]Risk Navigator Levels is an open-source Pine Script v6 overlay that turns confirmed trend-engine flips into a clean visual trade planning map. It draws an entry line, stop line, TP1, TP2, TP3, R-multiple labels, and optional risk/reward boxes after a confirmed setup.
The script is not a full trading system. Its purpose is visual planning: once its internal engine confirms a new long or short state, it freezes the entry, stop, and target levels so the user can inspect structure, distance, and status without manually drawing every line.
Core Concepts
1. Trend Engine Gate
The engine compares a fast EMA, slower EMA basis, ATR gate, and VWAP. A long setup requires the fast line above the basis, price above the upper gate, price above VWAP, and fast-line slope agreement. Shorts use the mirrored logic.
riseReady = fastLine > baseLine and close > upperGate and close > vwapLine and fastLine > nz(fastLine , fastLine)
fallReady = fastLine < baseLine and close < lowerGate and close < vwapLine and fastLine < nz(fastLine , fastLine)
2. Confirmed Direction Change
The script only creates a new level set when the engine direction changes on a confirmed bar.
confirmedLong = barstate.isconfirmed and engineDir == 1 and previousDir != 1
confirmedShort = barstate.isconfirmed and engineDir == -1 and previousDir != -1
3. Stop Selection
The stop is based on recent swing lookback and an ATR floor. This prevents the stop from being unrealistically tight relative to current volatility.
4. R-Multiple Targets
Once risk is calculated, TP1, TP2, and TP3 are plotted as multiples of that risk. The default values are 1R, 2R, and 3R.
5. Status Tracking
After a setup, the script tracks whether the stop or each target has been touched on confirmed bars and updates labels and dashboard status.
Features
Confirmed setup engine: Uses EMA, ATR gate, VWAP, and slope checks
Frozen entry and stop: Levels are created at setup time
TP1, TP2, TP3 targets: Target levels are R-multiple based
Risk/reward boxes: Optional green and red boxes show distance visually
Status labels: Shows whether SL, TP1, TP2, or TP3 has been touched
Right-edge labels: Keeps levels readable without crowding older bars
Dashboard: Shows mode, engine state, R size, targets, and status
Alerts: Setup, stop touch, and target touch conditions
Input Parameters
Visuals:
Palette Preset: Selects color pair
Level Reach Bars: Forward extension of lines and boxes
Risk/Reward Boxes: Toggles the boxes
Engine:
Source: Price source
Fast Length: Fast EMA length
Base Length: Slow EMA basis length
ATR Length: Volatility length
Confirmation Gate: ATR gate around the basis
Risk:
Stop Lookback: Swing lookback used for stop reference
ATR Stop Floor: Minimum stop distance multiplier
TP1 R / TP2 R / TP3 R: Target multiples
How to Use This Indicator
Step 1: Wait for a Confirmed Setup
The script draws a new plan only after its engine direction changes on a confirmed bar.
Step 2: Inspect R Size
The dashboard R size shows the distance between entry and stop. Large R size means the setup requires wider risk.
Step 3: Monitor Touch Status
Labels and dashboard status update when the stop or targets are touched after the setup bar.
Step 4: Use as a Planning Tool
The levels help visualize trade structure. They do not replace account-level risk controls.
Indicator Limitations
This is a visual planning tool, not a complete execution strategy
The engine can produce late signals during fast reversals
Targets are mathematical R levels, not forecasts
A stop touch and target touch can occur in the same bar on some candles; intrabar order cannot be known from closed OHLC alone
Originality Statement
Risk Navigator Levels is original in its integration of a confirmed trend gate, VWAP location, ATR stop floor, frozen R-level drawing system, and live status tracking. It is built as original Pine v6 code for transparent visual planning.
Disclaimer
This script is provided for educational and informational use only. It is not financial advice or a recommendation to buy or sell any financial instrument. Trading involves substantial risk of loss. Levels shown by the script are visual research levels and may not match actual execution conditions. Always use independent analysis and proper risk management.
-Made with passion by jackofalltrades
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Trade Execution Desk [JOAT]Trade Execution Desk is an open-source trade planning and session management tool designed for futures and structured discretionary traders who operate under daily loss limits, risk tier constraints, and session performance targets. It combines position sizing from account parameters, automatic pivot-based stop detection, three take-profit levels with risk-reward boxes, a 10-trade manual session log, and session status tracking into a single indicator.
The problem this addresses is the gap between an indicator that shows signals and a tool that translates those signals into an actual trade plan. Trade Execution Desk does not generate signals — it helps the trader structure the trade after a signal has been identified, ensuring that position size, stop placement, and profit targets are consistent with the account's defined risk parameters before the order is placed.
Core Concepts
1. Risk-Based Position Sizing
Position size is computed from the daily loss limit, maximum risk percentage, risk tier multiplier, and the calculated stop distance in ticks:
tierMult = tier == "FULL" ? 1.0 : tier == "HALF" ? 0.5 : 0.25
riskAmount = (dailyLossLimit * maxRiskPct / 100.0) * tierMult
contractsAllowed = math.floor(riskAmount / (stopDistTicks * tickValue))
This produces a contracts-allowed figure that respects the current risk tier and the actual stop distance on the current setup.
2. Three Risk Tiers
The FULL tier allows the full calculated position size. The HALF tier reduces it by 50%. The QUARTER tier reduces by 75%. Tier selection reflects the trader's confidence level or account drawdown state.
3. Auto Pivot Stop Detection
When auto stop is enabled, the indicator detects the most recent confirmed pivot high (for short trades) or pivot low (for long trades) and places the stop price at that level plus a configurable tick buffer. This anchors the stop to the nearest structural level automatically.
4. Trade Block Visualization
Entry, stop, and three TP levels are plotted as horizontal lines with right-edge labels. The risk zone (entry to stop) is shown as a translucent red box; the reward zone (entry to TP1) as translucent green. All objects extend rightward in real time.
5. Session Management
Four session-end conditions are tracked: daily target reached, maximum trade count reached, maximum loss count reached, and account rule violation. When any condition triggers, a session lockout overlay is displayed on the chart as a visual reminder that session trading is complete.
6. Manual Trade Log
Ten trade entries can be logged manually with tier type and result. Results are converted to the selected unit (points, ticks, dollars, or percent of account). Sequential processing chains each entry's outcome into running totals for session P&L, trade count, loss count, and violation flag. A promotion threshold tracks whether the session meets the criteria to advance to the next risk tier.
Features
Risk-based position sizing: Contracts calculated from loss limit, risk percent, tier multiplier, and actual stop distance
Three risk tiers: FULL / HALF / QUARTER with independent position size scaling
Auto pivot stop detection: Nearest confirmed pivot placed as stop with configurable tick buffer
Three TP levels with gradient boxes: TP1, TP2, TP3 as horizontal lines with translucent colored boxes
Session status tracking: Target, max trades, max losses, and violation triggers with visual lockout overlay
Ten-entry manual trade log: Each entry processed with tier, result, and unit conversion
Promotion threshold: Tracks whether session performance meets the criteria to advance risk tier
Unit conversion: All results displayable in Points, Ticks, Dollar, or Percent
Session lockout overlay: Full-chart colored overlay when session ends, with reason displayed
17-row institutional dashboard: Account params, tier state, stop/entry/TP levels, session status, trade log summary, promotion progress
Non-repainting: All pivot detections use confirmed pivot functions with symmetric lookback
Input Parameters
Risk Parameters:
Account Size ($), Daily Loss Limit ($), Max Risk % Per Trade
Tick Value ($), Ticks Per Point
Daily Target ($), Max Trades Per Session, Max Losses Per Session
Risk Tier and Carryover:
Current Risk Tier: FULL / HALF / QUARTER
Carryover Deficit ($), Quarter Violation Active toggle, Quarter Extra Deficit ($)
Trade Planning:
Trade Direction: Long / Short
Enable Auto-Pivot Stop toggle, Pivot Left/Right Bars, Stop Buffer (Ticks)
Manual Stop Price (0 = use auto)
RR Levels:
Show TP1, TP2, TP3 toggles with RR multiples and colors
Risk Zone and Reward Zone toggles
Result Unit: Points / Ticks / Dollar / Percent
Trade Log:
10 trade entries: Tier selector + Result value per entry
How to Use This Indicator
Step 1: Configure Account Parameters
Set your account size, daily loss limit, tick value, and ticks per point to match your trading instrument. Set the daily target and maximum trades/losses for your session rules.
Step 2: Select Risk Tier
Choose FULL, HALF, or QUARTER based on your current account standing or confidence level. The contracts-allowed figure in the dashboard updates automatically.
Step 3: Read the Entry/Stop/TP Levels
After identifying a trade direction, the auto-pivot stop places your stop at the nearest confirmed structural level. TP1, TP2, and TP3 are calculated automatically based on the stop distance and your configured RR multiples.
Step 4: Log Trades Manually
After each trade, enter the tier and result in the trade log section. The dashboard updates session P&L, win rate, and promotion progress in real time.
Step 5: Respect the Session Lockout
When the session lockout overlay appears, the reason is displayed prominently on the chart. The lockout is a visual reminder only — it does not interact with your broker.
Indicator Limitations
Position sizing uses tick value and ticks-per-point inputs specific to the traded instrument. These must be configured correctly for the output to be meaningful
The session lockout overlay is a visual reminder only. It does not block order placement
The manual trade log requires manual input after each trade. It does not auto-detect executions
Promotion threshold calculation uses simple arithmetic from input values and may not account for all possible rule variations across different prop firm structures
This indicator is a planning and logging tool. It does not generate entry or exit signals
Originality Statement
The combination of risk-tier-aware position sizing, session-end condition tracking with visual chart lockout, a 10-entry chained trade log with unit conversion, and a promotion threshold tracker in a single open-source overlay indicator is not replicated in existing Pine Script v6 publications
The sequential chaining of manual trade log entries through a processing function that propagates trade count, loss count, running P&L, and violation flag forward through ten entries provides structured session accounting within a chart indicator
Disclaimer
This indicator is provided for educational and informational purposes only. It is not financial advice. Position sizing outputs are mathematical calculations based on user-provided inputs and do not account for all real-world trade execution factors. Always verify position sizes and risk parameters independently before placing orders. The author accepts no responsibility for trading losses resulting from use of this indicator.
Made with passion by jackofalltrades
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Delta Barometer [JOAT]Delta Barometer
Introduction
Delta Barometer is an open-source dual-engine institutional pressure indicator that generates directional signals from two independent momentum measurement systems — an ATR trailing stop with Trend Strength Score, and a cumulative delta volume crossover with Pressure Score — and allows the user to configure how the two engines interact via four hybrid modes.
The core insight is that trend-following signals and momentum signals often disagree during transition periods and agree during high-probability setups. By building both engines independently, assigning each a score that reflects the quality of its reading, and providing modes that require either one engine, either engine, or both engines simultaneously, the indicator lets traders choose the selectivity level appropriate to their strategy. Requiring confluence produces fewer but higher-quality signals; allowing either engine to fire produces more signals with less selectivity.
Core Concepts
1. Engine A: ATR Trailing Stop with Trend Strength Score
A regime-adaptive ATR trailing stop is computed with different multipliers for low, medium, and high volatility environments. The ATR ratio determines the regime. The trail ratchets in one direction only and produces a signal on flip.
A Trend Strength Score (TSS) between 0 and 100 qualifies each trail flip: RSI slope magnitude contributes 40%, volume rate relative to its average contributes 35%, and ATR expansion relative to a shorter ATR period contributes 25%.
float tssScore = (rsiSlopeComp * 0.40 + volRatioComp * 0.35 + atrExpandComp * 0.25) * 100
2. Engine B: Cumulative Delta Volume with Pressure Score
Signed volume (positive when close is above open, negative otherwise) is accumulated into a running cumulative delta. A moving average of the cumulative delta is computed. A crossover of delta above its moving average is a potential bullish signal; a crossunder is bearish.
A Pressure Score between 0 and 100 qualifies each delta crossover: the magnitude of the delta ratio contributes 40%, volume rate relative to average contributes 35%, and candle body size relative to candle range contributes 25%.
3. Four Hybrid Modes
Both Engines: A signal requires both Engine A and Engine B to produce a raw signal simultaneously. Highest selectivity.
Priority A: Engine A signals take precedence; Engine B fills gaps where A is not firing.
Priority B: Engine B signals take precedence; Engine A fills gaps where B is not firing.
Either Engine: A signal fires when either engine produces a raw signal. Highest frequency.
4. Regime Arming
Each engine can be restricted to fire only in compatible volatility regimes — preventing the trailing engine from generating whipsaw signals during volatility compression.
5. Five-State Pressure Candle Coloring
Bar colors reflect the combined pressure state across both engines on a five-level scale: strong bull, moderate bull, neutral, moderate bear, strong bear.
Features
Engine A — ATR trail with TSS: Regime-adaptive trailing stop with Trend Strength Score qualifying each flip signal
Engine B — Delta volume with Pressure Score: Cumulative signed volume crossover with composite Pressure Score qualification
Four hybrid modes: Both Engines, Priority A, Priority B, Either Engine — configurable selectivity
Regime arming: Each engine independently armed for specific volatility regimes
Five-state pressure candle coloring: Strong bull / moderate bull / neutral / moderate bear / strong bear reflected in bar colors
Gradient trail fill: Gradient between trailing stop and close; color inverts with trail direction
Trade block on signal: Entry, stop (correctly positioned above entry for shorts, below for longs), and TP level rendered as colored boxes on confirmed signals. Stop line is bold dashed red with high-contrast label background. Entry always sits visually between the stop and take-profit zones
9-column horizontal dashboard: Mode, regime, TSS, pressure score, trail direction, delta, engine ID, signal state, status — shown in a horizontal table layout at chart bottom
Non-repainting: All signals confirmed on barstate.isconfirmed
Four color themes: Phantom, Neon, Classic, Solar
Backtest tracker: Win rate and expected value tracked per engine type
Input Parameters
Engine A — ATR Trail:
ATR Length, Low/Med/High Regime Multipliers
Regime ATR Lookback, Low/High Vol Thresholds
TSS Lookback and Min TSS Score to fire
Engine B — Delta Volume:
Delta MA Length, Min Pressure Score
RSI Overbought/Oversold gates
Hybrid Mode:
Hybrid Mode: Both Engines / Priority A / Priority B / Either Engine
Engine A and B arming: All / Low Only / Med + High / High Only
Signal:
Cooldown Bars, TP ATR Multiple, SL % from Entry
How to Use This Indicator
Step 1: Select the Hybrid Mode
Start with Either Engine for maximum signal frequency. Switch to Both Engines when you want only the highest-conviction setups. Priority modes are useful when you trust one engine more than the other for a particular asset.
Step 2: Read the 9-Column Dashboard
The horizontal dashboard shows the current state of both engines simultaneously. The ENGINE column shows which engine fired (A, B, or A+B for confluence). The TSS and PRESSURE columns show the raw quality scores of each engine.
Step 3: Verify Trade Block Direction
For LONG signals: the red risk box appears below entry (stop is below) and the green reward box appears above entry (TP is above). For SHORT signals: the red risk box appears above entry (stop is above) and the green reward box appears below entry (TP is below). Entry is always the dividing line between the two zones.
Step 4: Use Regime Arming for Market Fit
If the asset tends to trend strongly, arm Engine A for all regimes. If it is more volatile-momentum driven, arm Engine B for all regimes. Use Med + High arming for Engine A to avoid choppy low-volatility whipsaws.
Indicator Limitations
The TSS score components all lag price by varying amounts. Signals in fast-moving markets may arrive after the optimal entry point
Cumulative delta volume as used here is a proxy. It approximates institutional bias without access to true bid-ask tick data
Both Engines mode will produce very few signals on most assets. Adjust to Priority or Either modes if signal frequency is too low
Regime classification uses ATR ratio, which is a lagging measure. A volatility spike that changes the regime will affect engine arming only after ATR responds
Originality Statement
The dual-engine architecture with four configurable interaction modes — each engine carrying its own qualification score — and per-engine regime arming is an original design not replicated in existing open-source Pine Script v6 publications
The Trend Strength Score weighting RSI slope, volume rate, and ATR expansion as qualification for ATR trail flip signals, combined with a separate Pressure Score for delta crossovers, provides independent signal quality assessment that single-engine indicators do not offer
Disclaimer
This indicator is provided for educational and informational purposes only. It is not financial advice. Trading involves substantial risk of loss. Past signal statistics do not predict future performance. The author accepts no responsibility for trading losses resulting from use of this indicator.
Made with passion by jackofalltrades
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Cascade Liquidity Zones [JOAT]Cascade Liquidity Zones
Introduction
Cascade Liquidity Zones is an open-source institutional stop-hunt and liquidity zone detector built around the mechanics of how large participants move price through retail stop clusters before reversing. It identifies demand and supply zones from pivot-impulse structures, scores them by quality, confirms sweep events with multiple filters, and marks potential failure entry patterns — all within a single indicator that requires no additional tools to interpret.
The foundational premise is that price routinely sweeps beyond visible structural levels to trigger stop orders placed by retail participants, before institutional participants absorb the liquidity generated and reverse price. Identifying these events in advance, tracking the zones where they are likely to occur, and confirming them with volume and wick rejection filters produces a framework for anticipating institutional reactions at structural extremes.
Core Concepts
1. Pivot-Impulse Zone Creation
Demand zones are formed from confirmed pivot lows and supply zones from confirmed pivot highs. Each pivot creates a zone spanning a configurable ATR multiple, representing the area of institutional activity around that structural level. Zones are scored using a three-component Impulse Quality Score:
f_score(idx) =>
bodyR = math.abs(close -open ) / math.max(high -low , syminfo.mintick)
volR = volume / ta.sma(volume, 20)
atrR = (high -low ) / ta.atr(14)
(bodyR*40.0) + (math.min(volR,4.0)/4.0*35.0) + (math.min(atrR,3.0)/3.0*25.0)
This scores the impulse candle by three factors: directional body conviction (40%), volume participation relative to average (35%), and range size relative to ATR (25%).
2. Four-Layer Glow Zone Visualization
Each zone is drawn as four concentric boxes expanding outward from the core zone level, with decreasing opacity on each outer layer. This creates a visual glow effect that communicates zone location and zone type at a glance. Demand zones use the bull theme color; supply zones use the bear theme color.
3. Sweep Confirmation Engine
A demand zone sweep is confirmed when all of the following conditions pass simultaneously on a confirmed bar: minimum wick penetration percentage, close back inside or above the zone, volume exceeds average by a configurable multiple, wick rejection percentage exceeds minimum threshold, cooldown period elapsed, and optional pattern filters pass.
4. Failure Entry Engine
An alternative entry mode detects price failure patterns at pivot levels. A bullish failure occurs when price wicks below the most recent confirmed pivot low and closes back above it on the same bar, with the wick exceeding a minimum ATR size and a minimum rejection percentage. This targets trapped short-sellers at pivot extremes.
5. Zone Flip Mechanics
When price closes fully through a demand zone, that zone flips to a supply zone — its color changes from bull to bear theme color and it becomes eligible for short-side sweeps. This reflects the structural concept that broken support becomes resistance.
6. Liquidity Value and Hold Percentage
Each zone tracks cumulative volume × price product from its origin bar, displayed as a liquidity value label ($K, $M, $B). Zones also track how many times price has touched and rejected from them without breaking through, expressed as a hold percentage.
Features
Pivot-impulse zone creation: Demand and supply zones built from confirmed structural pivot points, scored by impulse quality
Three-component impulse quality score: Body conviction, volume participation, and ATR-relative range scored at zone creation
Four-layer glow boxes: Each zone drawn as four concentric boxes with decreasing opacity for a depth visualization effect
Multi-filter sweep confirmation: Wick penetration %, close direction, volume multiple, wick rejection %, cooldown, and optional pattern filters
Failure entry engine: Detects pivot-wick failure patterns as an alternative signal type with independent settings
Zone flip: Broken demand zones automatically flip to supply and vice versa
Liquidity value labels: Volume × price accumulated at each zone's origin bar, displayed in human-readable scale
Hold percentage: Ratio of zone tests that did not break through; used to prioritize zone strength
Trade block on sweep: Entry, stop, and two TP levels rendered as boxes and lines when a sweep confirms
Zone clustering: Overlapping zones within a minimum ATR separation are deduplicated, keeping the higher-quality zone
Backtest tracker: Win rate and expected value tracked across all sweep signals
Non-repainting: All sweep confirmations gated by barstate.isconfirmed
Institutional dashboard: 18-row table with zone statistics, sweep and failure counts, win rate, and expected value
Input Parameters
Zone Detection:
Pivot Lookback: Bars required on each side to confirm a pivot (default: 10)
Max Active Zones Per Side: Maximum simultaneous demand or supply zones (default: 8)
Zone ATR Width: Zone height as ATR multiple (default: 0.4)
Min Zone Separation: Minimum distance between zones in ATR units (default: 1.5)
Sweep Confirmation:
Min Wick Penetration %: Minimum wick extension through zone boundary
Volume Confirmation toggle and minimum volume multiple
Wick Rejection Filter toggle and minimum rejection %
Cooldown Bars Between Sweeps
Failure Entry:
Enable Failure Entry Mode toggle
Pivot lookback, wick ATR minimum, wick rejection minimum, volume confirmation, cooldown
Trade Block:
Show Trade Block toggle
RR Ratio for TP placement
SL Mode: Zone boundary or Wick extreme
SL Buffer in ATR units
How to Use This Indicator
Step 1: Identify Active Zones
Fresh zones (not yet swept) are displayed in full color. Prioritize fresh zones with high hold percentages and large liquidity values for upcoming sweep setups.
Step 2: Wait for Sweep Confirmation
A sweep is confirmed when the bar closes after the wick penetration. The trade block appears automatically with entry at the close of the confirmation bar, stop behind the zone boundary plus buffer, TP1 at 1:1 R, and TP2 at the configured RR ratio.
Step 3: Distinguish Sweeps from Failures
Standard sweeps require price to touch inside the zone boundary. Failure entries detect pivot-level failures at a higher structural level. Enable only one mode at a time to avoid conflicting signals.
Indicator Limitations
Pivot confirmation requires bars after the pivot candle. Zones are plotted with an inherent offset corresponding to the lookback length
All sweep confirmations require a bar close. Price that sweeps and reverses within the same bar without confirming on close will not generate a signal
Volume-based filters are less reliable on assets where volume data is unreported or synthetic
Zone flip mechanics assume that a broken level becomes resistance. This structural assumption does not hold in all market conditions
Originality Statement
The combination of a three-component impulse quality score at zone creation, four-layer glow box visualization, multi-condition sweep confirmation, zone flip mechanics, and a failure entry engine in a single indicator is not replicated in existing open-source Pine Script v6 publications
The liquidity value metric (volume × price at pivot origin) as a zone ranking input alongside hold percentage provides an institutional sizing dimension that simple pivot-based zone indicators do not include
The dual-mode architecture (sweep engine + failure entry engine) with independent settings for each, selectable via a single mode toggle, allows the same structural framework to address two different entry philosophies within one indicator
Disclaimer
This indicator is provided for educational and informational purposes only. It is not financial advice. Trading involves substantial risk of loss. Liquidity sweep patterns identified by this indicator represent historical structural events, not predictions of future price behavior. The author accepts no responsibility for trading losses resulting from use of this indicator.
Made with passion by jackofalltrades
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Prismatic Depth [JOAT]Introduction
Prismatic Depth is an open-source multi-pillar institutional signal filter that scores bullish and bearish market pressure across nine independent analytical dimensions simultaneously. Rather than generating a signal from any single indicator, Prismatic Depth requires a weighted composite score above a configurable threshold, a minimum directional lead between bull and bear scores, and alignment of up to five optional confirmation gates — all at the same time.
The problem this solves is signal noise. Most indicators produce signals from a single input: a moving average crossover, an RSI threshold, a volume spike. Each of these fires constantly in all market conditions, including conditions where it has no historical edge. Prismatic Depth measures nine separate market properties and only produces a signal when a statistically unusual number of them agree simultaneously. The result is a lower-frequency, higher-context signal that reflects a broader institutional consensus rather than a single technical event.
Core Concepts
1. The Nine-Pillar Scoring Architecture
Each pillar measures a distinct market property independently. Pillar weights are user-configurable and sum to produce a maximum possible score of 100. The nine pillars are:
Structure: Detects higher-high / higher-low and lower-high / lower-low sequences using confirmed pivot highs and lows. A bullish structural sequence adds the Structure weight to the bull score.
Volume: Measures the slope of On-Balance Volume using linear regression over 20 bars. A rising OBV slope contributes to the bull score; falling contributes to bear.
Momentum: Blends three momentum inputs — Kaufman Adaptive Moving Average position, RSI relative to 50, and Williams Percent Range relative to midpoint. Each sub-component is weighted equally at one-third.
Liquidity: Detects swing-low sweeps — bars where price wicks below the last confirmed swing low and closes back above it. These represent stop-hunt events followed by institutional absorption.
Volatility: Evaluates whether the ATR-to-SMA(ATR) ratio falls within a productive range (0.8 to 1.6). Markets outside this range are either too compressed for trend signals or too expanded for reliable entries.
Session: Measures the current bar's position relative to the daily session midpoint. Bars in the lower half of the daily range carry a bullish session score; bars in the upper half carry a bearish score.
Higher Timeframe: Compares current close to a 50-period EMA on a user-selected higher timeframe via request.security() with lookahead disabled.
Delta Pressure: Tracks cumulative signed volume and detects when its moving average crossing direction aligns with price movement. A Pressure Score blending the volume delta ratio, volume rate, and bar body ratio is computed.
Fractal Efficiency: Computes the Fractal Efficiency Ratio — the ratio of the net directional price move to the total path length of individual bar changes. An FER above 0.60 in conjunction with ADX above 20 passes the efficiency gate.
// Fractal Efficiency Ratio
float ferNet = math.abs(close - close )
float ferPath = math.sum(math.abs(ta.change(close)), ferLen)
float ferVal = ferPath > 0.0 ? ferNet / ferPath : 0.0
2. Weighted Score Gating
The final bull and bear scores are compared against a minimum threshold (default: 70 of 100) and a minimum directional lead (default: bull must exceed bear by at least 20 points). Both conditions must hold simultaneously before a signal is considered.
bool longSignal = bull >= threshold and (bull - bear) >= scoreGap
and inSession and noiseGate and vwmaGate and stGate and ribbonGate
3. Optional Confirmation Gates
Five binary gates can be independently enabled or disabled: VWMA(200) price relationship, Supertrend direction, 8-line HMA ribbon direction, ADX minimum threshold (noise filter), and session time filter. Each gate is AND-logic — all enabled gates must pass before a signal fires.
4. Kaufman Adaptive Moving Average
The momentum pillar uses KAMA rather than a standard moving average. KAMA adjusts its smoothing constant based on the Efficiency Ratio of recent price movement, reacting quickly during trending phases and becoming nearly flat during choppy periods.
5. 8-Line HMA Gradient Ribbon
Visual context is provided by an 8-line Hull Moving Average ribbon (using every other increment for performance while retaining the full gradient effect). A normalization factor (ribbon spread divided by its 200-bar EMA, clamped to -1 to +1) drives a color gradient from the bear theme color to the bull theme color. The gradient reflects conviction intensity, not just direction.
6. Trade Block Visualization
When a signal fires, entry, stop, and up to four take-profit levels are plotted as horizontal lines and labeled at the right edge of the chart. Risk and reward zones are shown as translucent boxes. All drawn objects are updated every bar to extend rightward until closed.
Features
Nine-pillar weighted confluence scoring: Structure, Volume, Momentum, Liquidity, Volatility, Session, HTF Trend, Delta Pressure, and Fractal Efficiency each scored independently and summed
Configurable pillar weights: Each pillar's contribution to the total score is independently adjustable
Five optional binary gates: VWMA, Supertrend, HMA Ribbon, ADX noise filter, and session filter independently toggled
Threshold and directional lead gating: Score must exceed minimum AND directional lead must exceed gap before any signal fires
Extreme signal tier: Separate threshold for extreme confluence readings with distinct visual treatment
8-line HMA gradient ribbon: rFactor-normalized color gradient reflecting momentum spread intensity vs. its 200-bar historical average, with gradient fills between all adjacent ribbon lines
Gradient glow bar coloring: Glow color mode uses barcolor() to highlight signal bars in the bull or bear theme color; when disabled, falls back to RSI-intensity gradient bar coloring
Regime background tint: Subtle chart background tint on regime transitions, clearing after 10 bars
Four TP levels with live boxes and lines: TP1–TP4 plotted as gradient green lines and translucent boxes extending right in real time
Four stop modes: Supertrend, ATR cap, fixed percentage, pivot-based
Built-in backtest tracker: Win rate, expected value in R, and trade count
Four color themes: Phantom (cyan/magenta), Neon (teal/pink), Classic (green/red), Solar (orange/blue)
Institutional dashboard: 14-row table showing all nine pillar scores, signal state, and performance metrics
Non-repainting: All signals gated by barstate.isconfirmed; HTF request.security() uses lookahead=barmerge.lookahead_off
Input Parameters
Scoring Engine:
Min Score to Signal: Minimum composite score required (default: 70)
Extreme Score: Score for extreme tier (default: 90)
Min Directional Lead: Bull-bear gap required (default: 20)
Pillar Weights:
Individual weight sliders for each of the nine pillars (defaults sum toward 100)
Trend Gates:
VWMA Gate toggle and length (default: 200)
Supertrend Gate toggle, ATR length, multiplier
Ribbon Gate toggle, base length, step
ADX Noise Gate toggle and minimum ADX value
Signal Control:
Cooldown bars between signals (default: 5)
Session filter toggle and session string
Trade Levels:
Show Trade Block toggle
Stop mode: Supertrend / ATR Cap / Fixed % / Pivot
RR multiples for TP1, TP2, TP3, TP4 (defaults: 0.5, 1.0, 1.5, 2.0)
How to Use This Indicator
Step 1: Select a Theme and Configure Gate Sensitivity
Choose a color theme that suits your chart. Start with all five gates enabled and default weights. Observe signal frequency across several recent weeks of history.
Step 2: Interpret the Dashboard Score Rows
Each pillar row in the dashboard shows its current directional score in the stronger direction. A row colored in the bull theme means that pillar is contributing to bullish confluence. The Signal row shows the final output.
Step 3: Use Signals as Context, Not Directives
A signal fires when an unusual number of market dimensions agree. It does not predict how far price will move or guarantee a profitable outcome.
Step 4: Set Stop Mode Before Live Use
The Supertrend stop mode trails the stop with the Supertrend level. ATR Cap limits maximum stop distance. Fixed % uses a fixed percentage of price. Pivot uses the last confirmed structural pivot.
Step 5: Review Backtest Statistics Skeptically
The win rate and expected value displayed are calculated from signal history on the current chart only. They reflect past performance on historical data. Optimizing weights to maximize these numbers on a single chart produces overfitted results that will not generalize.
Indicator Limitations
Pivot-based pillars (Structure, Liquidity) confirm with a lookback offset — the structural event is labeled bars after it occurred. This is non-repainting behavior inherent to pivot detection
The Fractal Efficiency gate may delay signals following sharp, fast moves where path length temporarily normalizes
High pillar weights placed on a single pillar can effectively reduce this to a single-factor indicator. Weight distribution should be reasonably balanced
The session pillar score assumes intraday context. On daily and higher timeframes, it contributes a neutral fixed value
The backtest tracker embedded in this indicator does not account for slippage, commission, or partial fills. It is not a substitute for a properly configured strategy backtest
Enabling all gates simultaneously will produce very few signals. Tune gate selection to the market and timeframe being analyzed
Originality Statement
Prismatic Depth is original in its nine-pillar architecture and the specific combination of inputs it assembles. This publication is warranted because:
The Fractal Efficiency Ratio as a scoring pillar and gate condition — measuring the directional efficiency of price movement over a lookback, distinct from ADX — is not present in existing open-source Pine Script v6 publications as of this writing
Weighted pillar scoring where the user controls the relative contribution of each dimension, combined with both a score threshold and a directional lead gap as dual gatekeeping conditions, produces a more selective output than threshold-only systems
The Delta Pressure pillar — computing a composite of volume delta ratio, volume rate versus average, and candle body compression — is an original implementation distinct from standard OBV or CMF approaches
The combination of nine independently scored dimensions with five independently toggled binary confirmation gates in a single configurable framework, with a built-in per-signal performance tracker, is not replicated in existing open-source publications
Disclaimer
This indicator is provided for educational and informational purposes only. It does not constitute financial advice or a recommendation to buy or sell any financial instrument. Trading involves substantial risk of loss. Confluence readings are based on historical price data and do not guarantee any future market outcome. Past win rate statistics shown by the built-in tracker do not predict future performance. Always apply proper risk management. The author accepts no responsibility for trading losses resulting from the use of this indicator.
Made with passion by jackofalltrades
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Wedge Polaris [JOAT]Wedge Polaris
Wedge Polaris is a multi-pattern auto-detector. It identifies five distinct converging-channel pattern families from zigzag pivots — Ascending Triangle, Descending Triangle, Symmetric Wedge, Rising Wedge, Falling Wedge — and on confirmed breakout projects a three-target ladder (Fibonacci times ATR times historical-duration blend). Pattern statistics, breakout probabilities, target hit / miss tracking, completed-pattern history, and a right-side bias gauge are all surfaced on the chart.
What makes it different
Most wedge / triangle indicators detect a single pattern type. This script classifies five families using slope analysis of the top and bottom channels.
Collinearity tolerance is adaptive. It scales with ATR percentile so the script is strict in low-volatility regimes (clean pivots) and forgiving in high-volatility regimes (noisier pivots) without being retuned.
Breakout probability is computed from the standard-normal CDF on the z-scored duration of the current pattern against a rolling history of completed patterns. Class-conditional bull / bear probabilities are blended with net-volume polarity inside the pattern.
A strong-break filter requires the breakout candle's body Z-score to exceed three AND its 25th or 75th body percentile to be on the correct side of the boundary. This distinguishes decisive expansion from noise probes.
A completed-pattern history strip tracks the last ten patterns with their outcomes (Target 1 hit, Stop hit, expired) so you can see the recent quality of the detector on the current instrument.
How it works
Zigzag pivots are tracked via standard ta.pivothigh and ta.pivotlow with parallel arrays.
Collinearity is tested between the two outer pivots and a middle pivot. Tolerance widens in high-volatility environments.
Two collinear lines (one for highs, one for lows) form a channel. Convergence, alignment, and inside-the-channel tests confirm a valid pattern.
Slope analysis classifies the pattern family.
On breakout confirmation, target lines are projected. T1 equals entry plus or minus 0.5 times width. T2 equals entry plus or minus 1.0 times width. T3 equals entry plus or minus (1.618 times width plus atr-z times ATR). SL is symmetric at width times the user SL multiplier.
Each completed pattern's duration and direction is appended to a 200-entry history buffer, which feeds the probability statistics.
Reading the chart
Pattern channels: two lines plus a linefill between them. Line style differentiates pattern type (solid for triangles, dashed for wedges, dotted for channels).
Completed-pattern ghost outlines fade for a user-configurable number of bars after the pattern ends.
A pattern stats label at the channel midpoint reads, for example: WEDGE 23 bars P(bull) 64% P(break) 78% ATR x.xx.
A three-target ladder on confirmed breakout: entry / SL / T1 / T2 / T3 horizontal lines plus price-only right-edge labels (no arrows, no shout text). Linefills shade the risk and reward zones.
Volume confluence: if breakout-bar volume exceeds 1.5 times the 20-bar SMA, target labels append VOL+.
A right-side bias gauge: 21-segment vertical band with a pointer.
Optional right-side breakout-probability gauge (separate from bias gauge).
A completed-pattern history strip above past pattern midpoints.
A strong-break flash: bgcolor pulse on the strong-break bar.
Signals
Pattern formed
Bullish / bearish breakout
Strong bullish / strong bearish breakout
Target 1 / Target 2 / Target 3 hit
Stop loss hit
All gated on barstate.isconfirmed or barstate.ishistory. No future references.
Inputs
Zigzag : zigzag length.
Collinearity : base tolerance (as a fraction of price).
Breakout : SL width multiplier, target line extension bars.
Visual : bullish / bearish colors, bias gauge, breakout probability gauge, pattern stats label, target ladder.
On-chart : completed-pattern history, ghost outlines extension bars, line-style differentiation.
Dashboard : position, size.
How traders use this
Pattern plus volume : a confirmed breakout with the VOL+ tag and a high P(bull) reading is a higher-probability continuation entry.
Mean-reversion fades : when a wedge's third or later touch happens at the convergence apex with low P(break), the pattern often fails to break. Fade trades inside the channel are possible.
R-multiple management : once target 1 prints, common practice is to move stops to breakeven and let the remainder run for T2 / T3. The target ladder makes this straightforward.
Pattern history : the strip lets you assess whether the detector is performing well on the current instrument and timeframe before sizing up new signals.
Limitations
Pivot detection inherits the right-bar delay of ta.pivothigh and ta.pivotlow. Patterns are confirmed only after the pivot-right-window passes.
Collinearity tolerance is a heuristic. Extremely volatile or extremely clean charts may need tuning of the base tolerance.
The class-conditional probability statistics need a minimum sample (five completed patterns) before they are meaningful.
Pattern recognition is fundamentally interpretive. Even confirmed patterns fail.
Compatibility
Pine Script v6 open-source indicator. Imports TradingView/ta/12 for ta.atr2 (series-period ATR used in duration-adaptive target projection). Any symbol, any timeframe. No request.security calls.
Defaults
7-bar zigzag, 0.5 percent base collinearity tolerance, mint / red colors, top-right medium dashboard. For very fast charts shorten the zigzag length. For slow charts lengthen it and tighten the collinearity tolerance.
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Position Architect [JOAT]Position Architect
Position Architect is an auto-triggered trade-plan visualizer. It consumes a signal source (any plot of another indicator, or a fallback SMA-cross), arms a trade with ATR-scaled stop loss and three risk-reward-scaled targets, and tracks the trade live with breakeven slide, R-multiple lines, MFE / MAE tracking, multi-currency PnL, position sizing, required margin, Kelly sizing suggestion, and a trade-history strip.
What makes it different
Most trade-planner indicators are manual: the user clicks entry, stop, and target. Position Architect is auto-triggered via input.source, so it plans trades from external signal feeds (other JOAT indicators or any compatible script).
Four trigger modes: Manual toggle, Source-above-SMA, Source-cross-above-SMA, Source-cross-below-SMA. These cover bias, breakout, and counter-trend logics.
A three-target ladder (not just one or two) with intermediate R-multiple lines (0.5R, 1R, 1.5R, 2R, 2.5R, 3R) drawn between entry and Target 3 so you see partial-take levels at a glance.
Live R-multiple, MFE, MAE displayed next to the trade in real time. After the trade closes, those values are baked into a persistent history label.
Kelly sizing suggestion based on an assumed win rate and the current risk-reward, capped at 25% to avoid pathological recommendations.
How it works
The signal source is the user-selected input.source. The trigger rule (one of four modes) determines when a long or short is armed.
On arm: entry equals the current close. SL equals low minus ATR(14) times slMult for longs (or symmetric for shorts). Three targets at entry plus or minus risk times tp1Mult / tp2Mult / tp3Mult.
Lifecycle gates on bar_index greater than tradeBar so the arm bar itself cannot also register hits (preventing spurious instant fills).
Each subsequent bar: check for TP1, TP2, TP3 hits in order, plus stop-loss. TP3 takes precedence over SL on same-bar pierces. If TP1 hits and breakeven is enabled, the stop slides to entry.
Position sizing: pos_size equals (capital times riskPct / 100) divided by (sl_pct / 100). Required margin equals pos_size divided by leverage.
Kelly suggestion: f-star equals winRate minus (1 minus winRate) divided by RR, clamped to 25% max.
Reading the chart
Five horizontal price lines: entry (blue), SL (red), TP1 / TP2 / TP3 (green shades), each width 3 to 5.
Five price-only labels at the right edge with R-multiples and percentages.
Two linefills: a translucent red risk zone between entry and SL, a translucent green reward zone between entry and TP3.
bgcolor tint while a trade is open.
A 1-bar bgcolor pulse on TP / SL / breakeven events.
A live R+0.8 MFE+1.5 MAE-0.3 label updating each bar near current price.
Bars-in-trade counter near the entry.
Trade-history strip above past entries with W/L outcomes and R-multiples.
R-multiple intermediate lines with right-edge labels.
A daily trade count plus win-rate summary.
A comprehensive dashboard with capital, risk, leverage, R:R, Kelly, position size, required margin, direction, entry, current price, live PnL, status (OPEN / WIN / LOSS), bars in trade.
Signals
Trade activated long / short
Target 1 / 2 / 3 hit
Stop loss hit
Breakeven slid
All gated on barstate.isconfirmed or barstate.ishistory. No future references.
Inputs
Signal : signal source, trigger mode, signal SMA length, manual long / short toggles.
Targets : SL ATR multiplier, TP1 / TP2 / TP3 risk multipliers, breakeven toggle, line extension bars.
Capital : capital amount, risk percent, leverage, currency code.
Kelly : assumed win rate.
Visual : bullish / bearish colors, entry line color, SL line color, TP line color, R-multiple lines toggle, history strip toggle.
Dashboard : position, size.
How traders use this
Discretionary planning : switch to Manual mode and toggle manualLong / manualShort to drop a complete plan at the current price, with ATR-aware stops and risk-aware sizing.
Signal integration : connect Position Architect's signal source to another JOAT indicator's plot output (for example the composite of Iridescent Helix or the Stage-3 line of Sentinel Cascade) and let it auto-arm trades.
Risk audit : the dashboard's R:R, position size, required margin, and Kelly suggestion are an instant pre-trade audit. You can compare across instruments.
Performance review : the trade-history strip lets you scroll back through recent trades on the chart and see R-multiples without needing a separate journal.
Limitations
Kelly sizing assumes a stable win-rate-and-R distribution. Real performance varies. The suggestion is a calibration reference, not a recommendation.
Position sizing is in price units. For futures or forex contracts the user must convert to contract count manually.
The signal source must be a series compatible with input.source. If the connected indicator does not expose a useful plot, the trigger logic falls back to close.
Trade lifecycle assumes one open position at a time. No pyramiding inside this script.
Compatibility
Pine Script v6 open-source indicator (overlay). Any symbol, any timeframe. ASCII currency codes (no Unicode glyphs) for cross-platform display. No request.security calls.
Defaults
SL ATR multiplier 1.5, targets at 1R / 2R / 3.5R, breakeven on after TP1, mint / red palette, ten-thousand-dollar capital with one percent risk and one times leverage, top-right medium dashboard.
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Veyra Shift Ledger [JOAT]Veyra Shift Ledger
Introduction
Veyra Shift Ledger is an open-source execution-context ledger that combines trend, pressure, structure, auction location, displacement, and volatility state. It also draws qualified supply and demand zones anchored to confirmed swing memory.
The indicator is designed to show when several independent context layers align, while keeping signals confirmed and visually organized.
Core Concepts
1. Trend and Regime
Fast, mid, and slow EMAs define trend alignment. ADX, RSI, MACD, and VWAP context contribute to directional quality.
2. Pressure Engine
Signed candle body, range location, and volume are used to estimate bid or ask pressure.
3. Auction Location
Weighted price and deviation bands identify premium, discount, and value conditions.
4. Structure and Displacement
Confirmed pivots define swing memory. BOS, sweeps, and FVG-style gaps contribute to the structure side of the ledger.
5. Supply and Demand Zones
Zones are created only when quality gates pass. Demand zones anchor around confirmed pivot lows and supply zones anchor around confirmed pivot highs, with ATR-scaled height.
Features
Long and short ledger scores: Combines trend, momentum, pressure, structure, auction, and HTF context
Confirmed HTF filter: Optional higher-timeframe EMA uses confirmed previous HTF data
Supply/demand zones: Anchored to confirmed swing memory and ATR-scaled
Zone lifecycle: Zones change appearance when mitigated or invalidated
Execution rails: Optional educational entry, stop, and target projections
Dashboard: Shows scores, pressure, auction, structure, volatility, HTF, and trigger state
Input Parameters
EMA lengths control trend memory
Pressure and auction inputs control volume/weighted-price calculations
Pivot confirmation controls structure sensitivity
Score thresholds control signal selectivity
Risk inputs control optional rail projection
How to Use This Indicator
Step 1: Compare ledger scores
The dashboard shows whether long or short context has stronger evidence.
Step 2: Inspect zones
Supply and demand zones are contextual areas, not certain turning points.
Step 3: Watch mitigation state
Zone color changes help distinguish active, mitigated, and invalidated areas.
Indicator Limitations
Supply and demand zones are approximations from chart data
Pivot confirmation creates natural delay
Pressure is candle-derived and not true order book data
Execution rails are educational projections only
Originality Statement
Veyra Shift Ledger combines a multi-factor score ledger with swing-anchored supply/demand zones, auction context, pressure state, displacement logic, and zone lifecycle visualization.
Disclaimer
This indicator is provided for educational and informational purposes only. It is not financial advice. Zones and scores can fail in live markets.
-Made with passion by jackofalltrades
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Nyx Transition Corridor [JOAT]Nyx Transition Corridor
Introduction
Nyx Transition Corridor is an open-source probabilistic regime corridor. It estimates whether the current bullish, bearish, or neutral state has recently tended to persist, then draws adaptive volatility corridors around price. The indicator is built for context, probability, and controlled visualization rather than aggressive signal clutter.
Core Concepts
1. Regime State
The script classifies each bar as bullish, bearish, or neutral using EMA alignment, adaptive basis location, and return behavior.
2. Rolling Transition Model
Recent state transitions are counted to estimate continuation probability for the current state.
pBullBull = math.sum(fromBull * toBull, transitionLen) / math.sum(fromBull, transitionLen)
3. Adaptive Basis
The basis reacts faster when price movement is efficient and slower when the market is choppy.
4. Probability Corridor
ATR, volatility rank, and continuation probability determine the corridor width. Outer rails identify stretched conditions.
5. Compact Execution Rails
Optional small rails mark educational entry, stop, and targets when a probability reclaim or continuation event occurs.
Features
Three-state regime model: Bull, bear, and neutral states
Transition probability: Rolling persistence estimate for current state
Adaptive basis: Efficiency-weighted smoothing
Volatility-ranked corridor: Bands expand and contract with market stress
Confirmed HTF filter: Optional higher-timeframe EMA uses confirmed previous HTF data
Compact trade rails: Smaller educational rails to reduce chart obstruction
Dashboard: Shows probabilities, spread, efficiency, volatility rank, and HTF state
Input Parameters
Adaptive basis length controls centerline memory
Transition memory controls probability stability
Continuation threshold controls signal selectivity
Rail settings control optional educational projections
How to Use This Indicator
Step 1: Read the regime
The dashboard shows whether the model is bullish, bearish, or neutral.
Step 2: Compare probabilities
Large spreads between bull and bear odds indicate clearer directional context.
Step 3: Use the corridor
The corridor shows where price is trading relative to the adaptive probability field.
Indicator Limitations
Transition probabilities are historical estimates, not forecasts
Neutral markets can persist even when price briefly crosses the basis
The optional rails are visual projections and not trading advice
Originality Statement
Nyx Transition Corridor combines a state-transition model, efficiency-adjusted basis, volatility-ranked width, confirmed HTF filtering, and compact execution visuals. Its purpose is to map probabilistic state context, not to duplicate a standard moving-average band.
Disclaimer
This indicator is provided for educational and informational purposes only. It is not financial advice. Probability estimates are based on historical state transitions and do not predict future behavior.
-Made with passion by jackofalltrades
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Vanta Delta Cartography [JOAT]Vanta Delta Cartography
Introduction
Vanta Delta Cartography is an open-source liquidity and auction-mapping indicator. It combines session VWAP bands, a developing volume profile, POC/value-area/VWMP references, estimated CVD impulse, pivot-confirmed divergence, absorption scoring, naked POC memory, and compact execution plans.
The goal is to show where the active session is accepting value, where pressure is imbalanced, and where a confirmed bid-side or ask-side plan appears.
Core Concepts
1. Manual Session VWAP
The script calculates session VWAP from cumulative price-volume and volume during the configured active session. Weighted deviation bands create inner and outer auction zones around VWAP.
2. Developing Volume Profile
The active range is divided into rows. The script estimates total volume, buy pressure, and sell pressure inside each row, then derives POC, value area high, value area low, VWMP, and imbalance shelves.
3. Estimated CVD Impulse
CVD is estimated from candle-derived delta. Fast and slow CVD lines create impulse context, while pivot-confirmed divergence identifies disagreement between price and participation.
4. Naked POC Memory
Prior session POC levels can be stored until price revisits them. This gives the chart a memory of unfinished auction references.
5. Auction Quality Gate
Long and short plans require location, delta, quality score, and a supporting event such as POC reclaim, value-area reaction, divergence, or shelf pressure.
Features
Session VWAP with deviation bands: Shows the active auction mean and volatility envelope.
Developing profile: Tracks POC, VAH, VAL, VWMP, and row pressure.
Right-side heatmap: Displays volume and pressure intensity by price row.
Imbalance shelves: Highlights areas where buy or sell pressure dominates.
Estimated CVD impulse: Measures participation direction from candle and volume data.
Pivot-confirmed divergence: Marks bullish or bearish CVD disagreement.
Naked POC memory: Stores prior POC references until revisited.
Execution plans: Draws compact entry, stop, TP1, and TP2 zones for confirmed absorption states.
Candle coloring: Bars can reflect liquidity pressure.
Dashboard and alerts: Includes auction state, POC, value area, VWAP, CVD impulse, divergence, naked POC, and session state.
Input Parameters
Core and Bands: Active Session, Session Bars Used, Profile Rows, Value Area, Show VWAP Bands, Inner Sigma, Outer Sigma.
Signals and Risk: Signal Zones, Pivot Left, Pivot Right, Delta Impulse Threshold, Auction Quality Gate, Signal Projection Bars, Signal Cooldown Bars, ATR Stop, ATR Target.
Visuals: Right Profile Heatmap, POC / VA / VWMP Lines, Naked POC Line, Session Auction Frame, Right Imbalance Shelves, Liquidity Candle Color, Dashboard.
How to Use This Indicator
Step 1: Read the session auction
Use VWAP, value area, and POC to determine whether price is accepting above control, below control, or rotating around value.
Step 2: Check pressure shelves
Imbalance shelves show where estimated participation is concentrated. These areas can act as reaction context.
Step 3: Watch CVD impulse and divergence
Strong CVD impulse supports continuation. Divergence warns that price and participation are not confirming each other.
Indicator Limitations
CVD and pressure are estimated from candles and volume, not true exchange delta.
Volume profile rows are approximations based on chart data and selected lookback.
Session behavior depends on the selected session template.
Divergence uses pivot confirmation and can appear after the pivot candle.
Originality Statement
Vanta Delta Cartography is original in its combined session VWAP, developing profile, pressure heatmap, estimated CVD impulse, pivot divergence, naked POC memory, imbalance shelves, and confirmed execution-plan logic. Each layer supports the same auction question: where is value, where is pressure, and where has participation failed or accepted?
Disclaimer
This script is provided for educational and informational purposes only. It is not financial advice or a recommendation to buy or sell. Auction and delta estimates can be inaccurate, especially on symbols with limited volume data. Use independent analysis and risk management.
Made with passion by jackofalltrades
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Swing Volume Structure [JOAT] Swing Volume Structure
Introduction
Swing Volume Structure is an open-source market structure indicator focused on confirmed pivots, volume-backed breakouts, sweeps, retests, and compression. It is designed to keep structure analysis clean by confirming pivots with right-side bars and confirming actionable states on bar close.
The script helps traders distinguish ordinary swing movement from structure breaks that occur with volume expansion or sweep behavior.
Core Concepts
1. Confirmed Pivot Structure
Pivot highs and lows are confirmed using configurable left and right bars. Once confirmed, pivots are classified into structural context such as higher high, higher low, lower high, or lower low.
2. Volume Confirmation
Breakout states are scored using volume relative to a moving average. Expansion volume strengthens breakout quality, while quiet volume can mark compression.
3. Sweep and Reclaim Behavior
The script detects when price probes beyond a prior swing and then reclaims or rejects the level. This helps separate liquidity sweeps from clean breakouts.
4. Retest Logic
After a structural break, retest behavior can support continuation when price returns to the broken area and holds.
5. Entry and Exit Rails
Confirmed breakout or sweep states can draw entry, stop, TP1, and TP2 references using ATR and structure.
Features
Confirmed HH/HL/LH/LL structure: Pivots are classified after confirmation.
Volume-backed breakouts: Break quality is strengthened by relative volume expansion.
Sweep reclaim/reject states: Identifies failed breaks beyond prior swing levels.
Inside compression detection: Detects quiet, compressed conditions.
Supply/demand zones: Optional zones around important swing areas.
Entry/exit rails: Optional risk references for accepted states.
Candle tinting: Bars can reflect current structure state.
HUD: Shows state, bias, pivot class, volume, nearest support/resistance, score, and bar counts.
Alerts: Long breakout, short breakout, bullish sweep, bearish sweep, inside compression, and volume expansion.
Input Parameters
Structure: Pivot Left, Pivot Right, ATR Length, Zone ATR Thickness, Zone Extension Bars.
Volume and Signals: Volume Average Length, Expansion Multiplier, Quiet Compression Threshold, Minimum Breakout Score, State Cooldown Bars.
Risk and Visuals: Stop ATR Buffer, TP1 R, TP2 R, Rail Projection Bars, Tint Candles by State, Connect Confirmed Swings, Show Supply/Demand Zones, Pivot Labels, Active Support/Resistance, Structure HUD.
How to Use This Indicator
Step 1: Read structure bias
Use the HUD and swing context to identify whether structure is improving, deteriorating, or balanced.
Step 2: Separate breakouts from sweeps
A breakout shows acceptance beyond structure. A sweep shows a probe and rejection or reclaim. These are different conditions.
Step 3: Check volume
Volume expansion can increase the importance of a break. Quiet volume can identify compression or lower-conviction movement.
Indicator Limitations
Pivots confirm only after the configured right bars complete.
Volume confirmation depends on the quality of the symbol's volume feed.
Supply/demand zones are approximations around swing areas, not exact order book data.
Breakout and sweep states can fail during high-volatility reversals.
Originality Statement
Swing Volume Structure is original in how it combines confirmed pivot classification, volume expansion scoring, sweep/reclaim logic, retests, compression states, optional zones, candle states, and ATR risk rails into a single structure tool.
Disclaimer
This script is provided for educational and informational purposes only. It is not financial advice or a trade recommendation. Structure signals are based on historical candles and can fail. Use proper risk management.
Made with passion by jackofalltrades
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