RSI Divergence Hunter [JOAT]RSI Divergence Hunter
Automatically detects the four classic RSI divergence types on confirmed pivots and frames each one as a trade.
What it is
Divergence between price and momentum is one of the oldest reversal and continuation reads, but marking it by hand is subjective and easy to force. This indicator detects all four divergence types algorithmically on confirmed pivots, so what you see is defined and repeatable, and then attaches a full trade structure to each. It is an original divergence engine, not a plain RSI plot.
How it works
• RSI core — the relative strength index measures the speed and size of recent moves. It is the momentum reference every divergence is measured against.
• Confirmed pivots — the engine waits for pivots on both price and RSI to confirm a set number of bars back before comparing them. Because pivots are only evaluated once confirmed, a plotted divergence does not repaint into or out of existence.
• The four types — regular bullish (price lower low, RSI higher low) and regular bearish (price higher high, RSI lower high) point to potential reversals; hidden bullish and hidden bearish point to trend continuation after a pullback. Each is drawn with a connecting line on both price and RSI and labelled by type.
• Zones and gating — overbought and oversold zones give context, and a minimum-gap control keeps divergence signals from stacking on lower timeframes.
Trade levels
Each qualifying divergence 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. The stop is anchored beyond the pivot that formed the divergence.
The dashboard
An adjustable divergence-scope panel shows the current RSI value and zone, the most recent divergence type detected, the active signal, a conviction estimate, and a live first-target-before-stop tally from closed bars only.
How to use it
• Works on any asset and timeframe.
• Treat regular divergences as counter-trend reversal cues and hidden divergences as with-trend continuation cues — the distinction matters.
• Combine with structure or a trend filter; divergence works well as confluence, not in isolation.
Settings
RSI length and source, pivot strength, which divergence types to display, overbought/oversold levels, risk multiple and target R multiples, plus visual and dashboard controls.
Originality and usefulness
The contribution is a complete, confirmed-pivot detector for all four divergence classes with clear per-type labelling and integrated, non-repainting trade framing. By fixing the definition of a divergence and waiting for pivot confirmation, it removes much of the hindsight bias that makes manual divergence unreliable.
Notes and limitations
• Divergence signals can persist and reappear in strong trends; a divergence is a condition, not a timing guarantee.
• Confirmed pivots introduce a natural delay equal to the pivot strength — this is the cost of not repainting.
• 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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Supply & Demand Order Blocks [JOAT]Supply and Demand Order Blocks
Detects institutional order blocks from displacement, tracks them until mitigated, and signals reactions when price returns to a fresh zone.
What it is
Large participants cannot fill size at a single price, so they leave a footprint: the last opposing candle before an aggressive, imbalanced push. That candle marks the zone where unfilled orders rest and where price often returns to be re-accumulated or re-distributed. This indicator locates those zones objectively, manages their lifecycle, and frames the reaction as a trade. It is an original order-block engine with strict zone management.
How it works
• Displacement — the engine measures each impulsive leg over a short window against an ATR multiple. Only moves that exceed that threshold (optionally requiring a fair-value gap) count as institutional displacement, filtering out ordinary candles.
• Order block — the last opposing candle before a qualifying displacement is stored as a zone: the last down candle before a bullish push becomes demand, the last up candle before a bearish push becomes supply.
• Zone management — active blocks are held in parallel arrays, drawn as boxes extended to the right, faded by age and saturated by displacement strength, pruned once mitigated (price closes through them), and capped at a live maximum so the chart stays clean.
• Signals — a Buy fires when price taps a fresh demand block and closes back up (a bullish rejection); a Sell is the mirror at a supply block. An optional trend filter keeps you buying demand in uptrends and selling supply in downtrends, and a minimum-age plus minimum-gap rule stops a freshly formed block from self-triggering and prevents clustering.
Trade levels
Each signal draws a red risk box from entry to a stop placed beyond the block and a green reward box to the third target, with inner dividers and right-edge labels for entry, stop and each take-profit at your R multiples.
The dashboard
An adjustable order-flow-depth panel shows the trend bias, the live counts of demand and supply blocks, the distance to the nearest zone, a conviction estimate, the active signal, and a live first-target-before-stop tally from closed bars only.
How to use it
• Works on any asset and timeframe; larger timeframes produce fewer, more significant blocks.
• Trade reactions at fresh, unmitigated zones aligned with the trend filter; treat mitigated zones as spent.
• Use the nearest-zone distance to anticipate where a reaction may occur before it happens.
Settings
Displacement window and ATR size, fair-value-gap requirement, maximum live blocks and extension, minimum block age, trend filter length, risk buffer and target R multiples, plus visual and dashboard controls.
Originality and usefulness
The contribution is the full lifecycle model: an ATR-based displacement filter, objective block selection, age-and-strength-aware zone rendering, mitigation-based pruning, and a self-trigger guard — combined with a trend-filtered, non-repainting reaction signal and explained end to end.
Notes and limitations
• Not every tap of a zone reverses; blocks can and do break, which is why mitigation pruning and stops exist.
• Order-block definitions vary between traders; this engine uses one consistent, disclosed definition.
• The tally reflects only past bars on the current chart and is not a forecast.
• Educational and analytical tool, not financial advice.
— made with passion by officialjackofalltrades
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Multi-Timeframe Trend Matrix [JOAT]Multi-Timeframe Trend Matrix
Reads several timeframes with several methods at once and scores their agreement into a single alignment signal — without lookahead.
What it is
Trading a single timeframe blinds you to the larger context; watching many by eye is slow and inconsistent. This indicator evaluates a grid of timeframes and trend methods, turns the whole grid into one alignment score, and signals when top-down agreement forms. It is an original multi-timeframe aggregation tool built to avoid the common pitfalls of higher-timeframe requests.
How it works
• The matrix — a set of higher and lower timeframes is each assessed by several independent trend methods (such as a moving-average relationship, a directional trend measure and a momentum read). Each cell of the grid returns simply bullish or bearish, so the picture is easy to interpret.
• No lookahead — every higher-timeframe value is pulled with lookahead disabled, so the indicator never borrows future data from an unclosed higher-timeframe bar. This is a deliberate, disclosed design choice that keeps the signals honest and non-repainting on historical bars.
• Alignment score — the grid is condensed into one signed score representing how strongly all timeframes and methods agree. Full agreement produces a strong reading; a split grid produces a weak, near-neutral one.
• State-machine signals — a Buy fires when alignment turns sufficiently bullish from a non-bullish state; a Sell is the mirror. Requiring a state change means the matrix will not re-signal the same direction repeatedly — the signals are self-spacing.
Trade levels
Each signal draws a red risk box to the ATR stop and a green reward box to the third target, with inner dividers and right-edge labels for entry, stop and each take-profit at your R multiples.
The dashboard
An adjustable alignment-matrix panel displays every timeframe-by-method cell as bullish or bearish, a bipolar alignment-score headline, the active signal, a conviction estimate, and a live first-target-before-stop tally from closed bars only. The grid shows exactly which timeframes agree and which disagree.
How to use it
• Works on any asset; pick a base timeframe and let the grid supply the higher-timeframe context.
• Favour entries when the grid is broadly aligned; be cautious when it is mixed.
• Use it as a top-down filter alongside your own entry method, or take its aligned signals directly.
Settings
The set of timeframes, the methods and their lengths, the alignment threshold, ATR risk multiple and target R multiples, plus visual and dashboard controls.
Originality and usefulness
The contribution is the aggregation framework: a disciplined, lookahead-free multi-timeframe, multi-method grid condensed into one transparent alignment score with a state-machine trigger. Seeing the full grid — not just a final arrow — is what lets a trader trust or override the signal for themselves.
Notes and limitations
• Higher-timeframe values update only as those bars close, so alignment can shift when a higher-timeframe bar completes — this is expected and prevents lookahead bias.
• Strong alignment can still precede a reversal; agreement is context, not certainty.
• 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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Quant Confluence Engine [JOAT]Quant Confluence Engine
Scores several independent market factors into one weighted composite, so signals fire on agreement across dimensions rather than on any single trigger.
What it is
Single-factor signals are fragile: a momentum cross, a moving-average flip or a volume spike each fails often on its own. This engine measures several independent factors, normalises them to a common scale, and blends them into one bipolar confluence score. A signal is produced only when enough factors line up, and the transparency of the score lets you see exactly why. It is an original scoring framework, not a bundle of overlaid classic indicators.
How it works
• The factors — the engine evaluates a set of complementary dimensions, each capturing a different aspect of the tape: trend alignment, momentum, volatility regime, volume behaviour, price structure and stretch relative to a mean. Each factor is computed with a standard, well-understood method and then scaled so it contributes fairly.
• Normalisation — every factor is converted to a bounded contribution, so no single input can dominate the composite purely because of its raw magnitude.
• Composite score — the contributions are combined into one signed 0-centred score. Positive means the factors lean bullish, negative bearish, and the magnitude expresses how strong the agreement is.
• State-machine signals — a Buy fires when the score crosses into sufficient bullish agreement from a non-bullish state; a Sell is the mirror. Because a signal requires a genuine state change, the engine will not re-fire the same direction bar after bar — signals are self-spacing by construction.
Trade levels
Each signal draws a red risk box to the ATR stop and a green reward box to the third target, with inner dividers and right-edge labels for entry, stop and each take-profit at your R multiples.
The dashboard
An adjustable factor-grid panel shows each factor's current lean (up or down) alongside a bipolar composite-score headline, the active signal, a conviction reading, and a live first-target-before-stop tally from closed bars only. The grid makes it obvious which factors are driving or vetoing a setup.
How to use it
• Works on any asset and timeframe; the factors adapt to the data.
• Read the grid before acting — a signal backed by broad agreement differs from one carried by a single strong factor.
• Raise the agreement requirement for fewer, higher-conviction signals, or lower it for more frequent ones.
Settings
Per-factor lengths and weights, the agreement threshold, ATR risk multiple and target R multiples, plus visual and dashboard controls.
Originality and usefulness
The value is the framework itself: a normalised, weighted multi-factor score with a transparent per-factor readout and a state-machine trigger that prevents signal spam. It is designed so a trader can inspect the reasoning, not just accept a label — which is precisely what a confluence approach should offer.
Notes and limitations
• Confluence reduces some false signals but does not remove them; correlated factors can all be wrong together in unusual conditions.
• Weighting is a design choice — different weights suit different markets, so treat the defaults as a starting point.
• The tally reflects only past bars on the current chart and is not a prediction.
• Educational and analytical tool, not financial advice.
— made with passion by officialjackofalltrades
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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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Adaptive Momentum Ribbon [JOAT]Adaptive Momentum Ribbon
An eight-layer moving-average ribbon whose colour is driven by live momentum and whose compression flags the coil before the move.
What it is
A single moving average tells you very little. A ribbon of them, fanned by speed, tells you three things at once: direction (the colour), strength (how wide it fans) and turning points (where it squeezes and flips). This indicator builds that ribbon and adds a momentum core and a compression detector so the ribbon is not just decorative — it gates the signals.
How it works
• The ribbon — eight exponential moving averages from fast to slow, with an optional light second smoothing pass for cleaner turns. When the fast layers sit above the slow layers the stack is bullish, and vice versa.
• Momentum core — a rate-of-change normalised by ATR and then smoothed. This value is mapped onto a colour gradient, so a strong trend glows saturated while a fading one drifts toward neutral. The same value gates entries, so you buy strength rather than every flip.
• Compression detector — the width between the fastest and slowest ribbon lines is ranked as a percentile over a lookback window. A low percentile means the market is coiled; a move out of that coil is the tradable expansion. Coils are highlighted so you can see energy building.
• Flip signals — a Buy prints when the ribbon flips up out of (or just after) a compression with positive momentum; a Sell is the mirror. Because a flip requires the stack to actually reverse, signals are naturally spaced, and a minimum-gap control adds a further safeguard against clustering.
Trade levels
Each signal draws a red risk box to the ATR-based stop and a green reward box to the third target, with inner target lines and right-edge price labels for entry, stop and every take-profit at your chosen R multiples.
The dashboard
An adjustable panel shows trend direction, a block-gradient momentum meter with a signed headline value, the compression state (coiled or expanded), a 0–100 conviction estimate, the current signal, and a live first-target-before-stop tally from closed bars only.
How to use it
• Works on all assets and timeframes; the ribbon adapts to whatever data it is given.
• Use the coil highlight to prepare for a move and the flip-with-momentum signal to time it.
• Require the coil filter for cleaner, fewer signals in choppy markets, or relax it for more responsive trend entries.
Settings
Base length and layer step, source, optional smoothing, momentum length and smoothing, signal momentum gate, compression window and percentile threshold, risk multiple and target R multiples, plus visual and dashboard controls.
Originality and usefulness
The combination is the point: a speed-fanned ribbon, an ATR-normalised momentum gradient that both colours the ribbon and filters signals, and a percentile-ranked compression model that isolates coils. Together they turn a familiar visual into a structured, non-repainting trend-and-expansion tool.
Notes and limitations
• Moving averages lag by nature; the ribbon confirms trend, it does not call exact tops or bottoms.
• In strong one-way trends the compression filter may keep you out of some continuation entries — that is the intended trade-off for fewer false flips.
• The tally reflects only past bars on the current chart and is not a forecast.
• Educational and analytical tool, not financial advice.
— made with passion by officialjackofalltrades
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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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Uptrick: Trend Pressure LineIntroduction
Uptrick: Trend Pressure Line is a trend-following overlay that measures directional pressure by combining price displacement from a moving average, candle body strength, and short-term momentum into a single weighted composite. The composite is smoothed and converted into both a dynamic trend line and a bar coloring system, giving traders a continuous read on how strong buying or selling pressure is, rather than a simple binary trend flag.
Originality
While the script uses common building blocks such as an EMA baseline and ATR normalization, its originality lies in how these components are combined. Instead of relying on a single trend filter, the script blends three independently weighted pressure sources, price position relative to trend, candle body direction, and bar-to-bar momentum, into one normalized pressure value using user-adjustable weights. This composite pressure value is then used simultaneously to plot a smoothed adaptive trend line, generate a three-color gradient reflecting pressure intensity, calculate a reversal probability score based on how stretched pressure is relative to its recent range, and drive bar coloring through three separate selectable modes. No single one of these elements is novel on its own, but the integration of weighted multi-factor pressure scoring with a dedicated reversal exhaustion metric and multi-mode visual feedback is not a standard combination found in common trend or ATR-band indicators.
Features
Weighted trend pressure engine combining price position, candle body, and momentum into one composite score
Adjustable weighting for each of the three pressure components
Smoothed adaptive trend line plotted directly on the chart
Three-color gradient (bearish, neutral, bullish) that reflects live pressure intensity
Up and down trend signals with optional cooldown to reduce repeated signals
Four selectable signal anchor points (Default, High/Low, Close, Trend Line)
Optional take profit signals based on an ATR multiple from entry
Reversal probability calculation based on pressure stretch and distance from the trend line
Adjustable reversal lookback and sensitivity settings
Three selectable bar coloring modes (Reversal Probability, Latest Signal, Current Default)
Strong and extreme pressure level alerts for both bullish and bearish conditions
Dashboard table showing trend state, signal state, bars since last signal, pressure value, reversal percentage, bar mode, take profit status, ATR value, and trend line value
Four selectable table positions
19 distinct alert conditions covering signals, flips, pressure levels, and price/line crosses
Inputs
Source, Trend Length, ATR Length, Pressure Smoothness, and Line Smoothness control the core trend engine
Price Position Weight, Candle Body Weight, and Momentum Weight control how the three pressure components are blended
Show Up/Down Signals, Trend Threshold, Signal Cooldown, and Signal Anchor control signal generation and placement
Show TP Signals and TP ATR Multiplier control the optional take profit logic
Line Width, Gradient Sensitivity, Gradient Smoothness, and Bar Coloring Mode control the visual presentation
Reversal Lookback, Reversal Sensitivity, and High Reversal Alert Level control the reversal probability calculation
Strong Pressure Level and Extreme Pressure Level set the thresholds for pressure strength alerts
Show Table and Table Position control the on-chart dashboard
How It Works
The script builds a baseline using an EMA of price, then measures three separate pressures relative to ATR: how far price sits from that baseline, the strength of the current candle's body, and short-term momentum. These three values are combined using the user's weight settings and smoothed to produce a single pressure reading. This pressure reading is added to the baseline to draw the adaptive trend line, and it is also compared against a threshold to classify the market as bullish, bearish, or neutral, which drives the up and down signals. Separately, the script tracks how far current pressure is from its recent extreme and how far price has drifted from the trend line, combining both into a reversal probability percentage that increases as a trend becomes stretched.
How to Use
Watch the trend line color and the dashboard Trend row together to identify the current directional bias at a glance
Use the Up and Down labels as potential entry cues, and adjust Signal Cooldown if signals print too frequently on your chart's timeframe
Adjust the three weight inputs (Price Position, Candle Body, Momentum) if you want the pressure reading to favor trend positioning, candle strength, or short-term speed, depending on your trading style
Monitor the Reversal row on the dashboard as a trend matures; a rising percentage suggests the current move is becoming stretched and may be due for a pause or reversal
Switch Bar Coloring Mode to Reversal Probability if you want the candles themselves to visually flag exhaustion, or to Latest Signal if you prefer bars colored by the most recent up/down call
Enable Show TP Signals and set a TP ATR Multiplier if you want a visual marker for a fixed ATR-based profit target after each signal, then adjust the multiplier to match your own target distance
Use Signal Anchor to reposition labels relative to price action, high/low, or the trend line itself depending on chart clutter or personal preference
Set alerts on any of the nineteen available conditions to be notified of trend flips, pressure extremes, or price crossing the trend line without needing to watch the chart continuously
Conclusion
Uptrick: Trend Pressure Line gives traders a single adaptive line and pressure reading that reflects the combined influence of price positioning, candle strength, and momentum, along with a built-in gauge for how exhausted the current trend may be. It is intended as a trend and exhaustion visualization tool rather than a standalone signal generator.
Disclaimer
This script is provided for informational and educational purposes only and does not constitute financial advice. Past performance, including any signals or visual patterns shown on the chart, is not indicative of future results. Trading involves substantial risk, and users should perform their own analysis and risk management before making trading decisions based on this or any other indicator. อินดิเคเตอร์
Cardwell Range Analyze [MarkitTick]💡 A comprehensive, all-in-one technical analysis suite designed to decode market regimes, identify high-probability momentum shifts, and automate risk management visualization. Built upon the foundation of Andrew Cardwell's advanced Relative Strength Index (RSI) theories, this tool transcends traditional oscillator analysis. Rather than relying on static overbought and oversold thresholds, it dynamically tracks regime shifts by observing where momentum consolidates. When combined with trend confirmation, volatility-based targets, and directional movement filters, it provides a holistic view of the market state directly on your chart.
✨ Originality and Utility
Most traders utilize momentum oscillators in a vacuum, searching for mean-reversion signals at arbitrary boundaries. The utility of this script lies in its departure from that static approach. It introduces a multifaceted evaluation system that cross-references momentum bands with structural trend data. By integrating a Higher Timeframe (HTF) directional filter and an Average Directional Index (ADX) volatility threshold, it systematically filters out market noise and chop.
Its originality shines through the automated Trade Tools suite. Upon detecting a valid regime shift, the indicator instantly projects Average True Range (ATR) based Stop Loss and Take Profit levels, complete with risk-to-reward zoning. This allows traders to visually assess the mathematical viability of a setup before execution. The inclusion of a real-time diagnostic dashboard further elevates its utility, offering a heads-up display of all underlying metrics without cluttering the primary price action.
🔬 Methodology and Concepts
● Cardwell RSI Framework
Traditional RSI theory dictates that an asset is overbought at 70 and oversold at 30. However, the foundational concept here relies on range shifts. In a robust uptrend, RSI rarely reaches 30; instead, it finds support around 40 and can push up to 80. Conversely, in a downtrend, RSI encounters resistance around 60 and can fall to 20. This script mathematically codifies these ranges.
● Regime Confirmation
A raw regime is identified when the price resides on the correct side of the Trend Moving Average (SMA) while the RSI operates within the corresponding Cardwell range. To eliminate premature signals, a confirmation threshold requires the market to sustain this raw state for a consecutive number of bars.
● Structural and Volatility Filtering
To ensure signals align with macro momentum, the script queries a higher timeframe's trend state using non-repainting historical referencing. Additionally, the ADX is calculated to measure the absolute strength of the current trend. If the ADX falls below the minimum threshold, the market is deemed sideways, and signals are suppressed.
● Dynamic Risk Mapping
Once a validated signal fires, the script calculates dynamic price levels based on current market volatility (ATR). The Stop Loss is mapped at a fractional multiplier against the entry, while Take Profit levels are projected at linear multiples, mapping out a structured trade lifecycle.
🎨 Visual Guide
● Heatmap Candles
The standard price candles are dynamically recolored to reflect the prevailing market regime.
Teal Candles: Indicate a confirmed Bullish Regime.
Red Candles: Indicate a confirmed Bearish Regime.
Gray Candles: Indicate a Neutral state where conditions are mixed.
Black Wicks/Borders: Maintain visual clarity regardless of the body color.
● Trade Levels and Zones
When a signal triggers, specific horizontal projections appear on the chart:
Entry Line: A dashed blue line representing the closing price of the signal bar.
Stop Loss (SL) Line: A solid red line marking the invalidation point.
Take Profit (TP1, TP2, TP3) Lines: Dashed teal lines marking incremental profit targets.
Risk Fill: A translucent red background shading the area between the Entry and the Stop Loss.
Reward Fill: A translucent teal background shading the area between the Entry and the highest Take Profit.
● Dashboard
A specialized table anchored to the chart corner providing real-time data:
Regime: Displays current state (BULLISH, BEARISH, or NEUTRAL) in respective colors.
RSI Value: A visual progress bar measuring current RSI against a 100-scale, color-coded by intensity.
Trend & Ranges: Explicit text readouts of the current MA trend direction and defined RSI boundaries.
ADX Strength: A progress bar indicating the conviction of the trend.
📌 Note : the best way to resolve visual overlap is to navigate to the Object Tree and drag the indicator above the main chart layer, or simply hide the native candles in your chart settings.
📖 How to Use
● Interpreting Regimes
Monitor the color of the candles. A transition from Gray to Teal suggests a bullish momentum shift aligning with the underlying trend. This is your primary directional bias. You should generally look for buying opportunities when candles are Teal and selling opportunities when they are Red.
● Acting on Signals
When all conditions (Cardwell Range, Trend MA, HTF Trend, and ADX Chop Filter) align, a BUY or SELL label will populate below or above the price. These represent active momentum shifts.
● Managing Risk
Do not trade blindly on signals. Upon a signal firing, visually inspect the red Risk Zone versus the teal Reward Zone. Ensure the projected Stop Loss aligns with logical market structure (like a recent swing low or high). Use the progressive TP1, TP2, and TP3 lines to scale out of positions as the market moves in your favor.
● Monitoring the Dashboard
Keep an eye on the ADX Strength bar in the dashboard. If the bar is predominantly empty and red, the market is consolidating. Wait for the ADX bar to fill and turn orange or green before expecting strong follow-through on any signals.
⚙️ Inputs and Settings
• Core Settings
RSI Length: The lookback period for momentum calculation (default 14).
Trend MA Length: The lookback period for the primary structural trend baseline (default 50).
• Filters
Bull/Bear Ranges: The upper and lower bounds for the Cardwell RSI shifts.
Regime Confirm Bars: The consecutive number of bars required to validate a new regime.
Use HTF Confirmation: Toggles the higher timeframe trend filter.
HTF Timeframe: Select the specific higher timeframe to query (e.g., 240 for 4-hour).
Use Chop Filter: Toggles the ADX volatility requirement.
ADX Min Strength: The threshold value ADX must exceed to allow signals.
• Trade Tools
ATR Length: The lookback period for volatility modeling.
SL/TP Multipliers: Fractional inputs to dictate how wide the Stop Loss and Profit Targets are projected relative to the ATR.
• Alerts
Action Strings: Customizable JSON payload strings for integrating with third-party automated execution platforms via webhooks.
🔍 Deconstruction of the Underlying Scientific and Academic Framework
This indicator synthesizes three foundational pillars of quantitative market analysis: momentum distribution, structural mean, and volatility modeling.
First, it deconstructs the Relative Strength Index, initially formulated by J. Welles Wilder Jr. in 1978. Wilder mathematically defined momentum as the ratio of average gains to average losses. However, the Cardwell extension incorporated into this script addresses a fundamental flaw in Wilder's fixed bounding by applying regime-dependent probability distributions. In a positively skewed asset (uptrend), the probability mass of the RSI shifts upward, meaning a reading of 40 represents a statistically significant mean-reversion point (oversold) rather than 30.
Second, the script applies directional movement theory via the Average Directional Index (ADX). The ADX smooths the differences between the positive and negative directional indicators (+DI and -DI) to isolate the scalar strength of the trend vector, devoid of direction. By requiring a minimum ADX threshold, the algorithm mathematically enforces a non-stationary environment, filtering out random walk (white noise) conditions where momentum signals carry no statistical edge.
Finally, the projection of trade levels utilizes the Average True Range (ATR). ATR is a rigorous measure of the variance in asset prices, accounting for opening gaps and limit moves. By mapping target boundaries as functional multiples of ATR, the script ensures that standard deviation and local market dispersion strictly govern risk parameters, adapting dynamically to expanding or contracting market distributions.
⚠️ Disclaimer
All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. We expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion. อินดิเคเตอร์
Liquidity Trail Matrix [WillyAlgoTrader]📊 Liquidity Trail Matrix (LTM) is an overlay trend-following system that combines a four-band proportional ATR trailing stack, a 5-factor retest quality score (0–100), a non-repainting higher-timeframe bias filter, a range-distributed volume profile of the current trend segment (POC / Value Area / HVN / LVN), and a full trade engine with wick-anchored stops, three R-multiple targets, break-even automation and honest session statistics — all in one indicator.
The core insight: a single trailing stop line gives you a binary answer — "in trend" or "flipped". But price interacts with the liquidity zone around the trail in layers: shallow pullbacks, deep sweeps, and full reversals all look different. LTM replaces the single line with a graded four-band matrix, scores every pullback-and-reclaim by depth, candle quality, volume, higher-timeframe alignment and trend maturity, and overlays where volume actually accumulated during the current trend leg — so you can see whether a retest is landing on real acceptance (HVN / POC) or falling into a volume vacuum (LVN).
Works on all markets (crypto, forex, stocks, indices, commodities) and all timeframes. On zero-volume symbols the profile automatically switches to a range-weighted proxy.
🧩 WHY THESE COMPONENTS WORK TOGETHER
A trailing stop alone tells you the trend direction but nothing about entry quality — every touch of the line looks the same. A volume profile alone shows you where volume traded but has no concept of trend regime or entry timing. A retest signal alone fires on any bounce, whether it happens in a mature trend with higher-timeframe support or in the dying bars of an exhausted move. Used separately, these tools leave you guessing.
LTM chains them into one pipeline:
ATR band stack → trend flip detection → pullback depth measurement → 5-factor quality scoring → HTF bias confirmation → trade engine (entry / SL / TP / BE) → segment volume profile context → session outcome tracking
The band stack defines the trend and, critically, grades how deep each pullback penetrates (Band 1 = shallow, Band 4 = extreme). That depth becomes the largest single component of the retest score. The score is then adjusted by the reclaim candle's close location, relative volume, trend age, and the higher-timeframe EMA-50 bias — five independent dimensions that a plain trailing stop cannot see. Every confirmed signal is handed to the trade engine, which places a structure-aware stop, three risk-multiple targets and manages break-even. Meanwhile the volume profile is rebuilt from the exact flip bar of the current trend, so POC, Value Area and LVN levels always describe this leg — telling you whether your entry sits on volume acceptance or in a vacuum. Finally, every closed trade feeds the on-chart statistics, so the dashboard shows how this exact configuration has behaved on this exact chart.
Remove any link and the chain breaks: without band depth there is no meaningful score; without the score every bounce is a signal; without the segment-anchored profile the volume context is stale; without the trade engine the signals have no defined risk; without stats you never learn whether the settings fit the instrument.
🔍 WHAT MAKES IT ORIGINAL
1️⃣ Proportional four-band trail geometry — spacing that scales with width.
Most multi-line trails use fixed offsets (base, base+1, base+2 ATR). LTM computes every band as a proportion of the base multiplier:
Band K distance = base × (1 + K_offset × step), giving four multipliers:
— m1 = base
— m2 = base × (1 + step)
— m3 = base × (1 + 2 × step)
— m4 = base × (1 + 3 × step)
With the default Balanced preset (base 4.0, step 0.25) that yields 4.0 / 5.0 / 6.0 / 7.0 ATR. Because spacing is proportional, the geometry of the stack stays visually and behaviorally consistent whether you run tight Scalping bands (2.5 × ATR, step 0.20) or wide Deep Trend bands (6.0 × ATR, step 0.30). Each band ratchets independently (max-lock in uptrends, min-lock in downtrends) and never loosens.
Why this matters: fixed +1/+2/+3 offsets make the stack proportionally "fat" at small base values and "thin" at large ones — proportional spacing keeps pullback depth grading meaningful at any width.
2️⃣ Selectable flip depth — you choose which band defines a reversal.
The trend flips only when price closes beyond a user-chosen band from the previous bar: Fast (Band 2), Balanced (Band 3, default) or Deep (Band 4). Comparing against the previous bar's band value prevents same-bar feedback between the flip and the band update. A warm-up guard (max(3 × ATR length, 60) bars) suppresses all signals until the ATR stack is statistically stable.
Why this matters: flip sensitivity becomes an explicit, single-purpose setting instead of an accidental side effect of band width.
3️⃣ 5-factor retest quality score (0–100) — every signal explains itself.
When price touches any band and then reclaims Band 1 with a directional candle inside the retest window (default 8 bars), LTM computes:
— 📐 Pullback depth (max 25) : Band 2 touch = 25, Band 3 = 18, Band 1 = 15, Band 4 = 10. The maximum touched depth during the pending window is used. Note the deliberate non-linearity: Band 2 scores highest — deep enough to reset liquidity, not deep enough to threaten the trend. Band 4 sweeps score lowest because they often precede full reversals.
— 🕯️ Reclaim candle (max 20) : close location value CLV = (close − low) / (high − low) for longs (mirrored for shorts). CLV > 0.7 → 20 points, > 0.5 → 12, else 5. A reclaim that closes near its extreme shows commitment.
— 📊 Volume (max 20) : current volume vs. the previous bar's 20-period SMA — the spike must not dampen itself by inflating its own average. Volume > 1.2 × baseline → 20, > 1.0 × → 12, else 5. Symbols without volume data receive a neutral 12.
— 🧭 HTF bias (max 20) : aligned with the higher-timeframe EMA-50 direction → 20, no HTF data → 10, against bias → 0.
— ⏳ Trend age (max 15) : 10–150 bars into the trend → 15 (mature, established), under 10 bars → 8 (unproven), over 150 → 5 (aging).
Signals print only when the total meets the Min Retest Score (default 80) and the shared anti-whipsaw cooldown (default 5 bars, deliberately shared across both directions) has elapsed. Every diamond label shows the score, and its tooltip breaks down all five components — no black-box signals.
4️⃣ Non-repainting higher-timeframe bias.
HTF bias compares the higher timeframe's previous closed bar close against its EMA-50, requested with confirmed-bar indexing so the value never changes retroactively. Bias is a soft score component (0/10/20 points), not a hard filter — counter-bias signals can still print if the other four factors are strong enough.
5️⃣ Segment volume profile — range-distributed, anchored to the live trend leg.
The profile is rebuilt on the last bar from the exact flip bar of the current trend (capped by Max Profile Bars, default 500) — no arbitrary lookback padding. Accumulation is range-distributed: each bar's volume is split across every price bin its high–low range overlaps, weighted by overlap fraction:
bin_volume += bar_volume × overlap(bin, bar_range) / (bar_high − bar_low)
This shows where volume actually traded, not where bars happened to close. From the histogram LTM derives:
— 🟡 POC — the highest-volume bin of the segment, drawn with price and volume label. The strongest magnet / defense level of this leg.
— 📦 Value Area (70%) — expanded symmetrically from POC by always adding the larger neighboring bin until 70% of segment volume is enclosed. VAH / VAL edges act as dynamic S/R.
— 📈 HVN — local volume peaks ≥ 0.55 × POC volume (configurable): acceptance shelves where price tends to stall.
— 🕳️ LVN — local troughs ≤ 0.30 × POC volume inside the Value Area (configurable): volume vacuums that price tends to travel through quickly. Each LVN is labeled and feeds a dedicated break alert.
On symbols with no volume feed (forex, some CFDs) the engine substitutes a true-range proxy per bar, so the profile stays structurally meaningful instead of failing.
6️⃣ Trade engine with strict signal-trade parity.
Every confirmed signal (scored retest or trend flip) acts, with unambiguous rules:
— flat → open a position in the signal direction
— opposite position → reverse (close and enter the new direction on the same bar)
— same-direction position → ignored (no pyramiding, no stop tampering)
There are exactly four closure paths: SL hit, break-even stop-out, TP3 touch, or reversal by an opposite signal. Hit detection uses three safety guards: an entry-bar guard (SL/TP are never evaluated on the entry bar itself), a pessimistic same-bar rule (if a bar touches both SL and a TP, the SL wins — statistics never get the benefit of the doubt), and a break-even latency rule (a stop moved to break-even mid-bar cannot trigger on that same bar — the engine checks against the bar-start stop value).
7️⃣ Wick-anchored stop-loss mode.
Two SL modes at entry:
— Wick-Anchored (default) : SL = signal bar's wick extreme ± 0.25 × ATR buffer, with a minimum distance of 0.5 × ATR enforced. The stop hides behind the structure that produced the signal instead of floating at an arbitrary distance.
— ATR : classic fixed SL Multiplier × ATR from entry.
TP1 / TP2 / TP3 are pure risk multiples of the actual SL distance (defaults 1R / 2R / 3R), so the reward structure automatically adapts to how much room the stop needed. Four risk presets (Conservative 2.5 × ATR SL, TP 1/2/4R; Balanced 1.5, TP 1/2/3R; Aggressive 1.0, TP 1.5/2.5/4R; Scalping 0.8, TP 0.8/1.5/2R) plus full Custom control. Optional break-even moves the stop to entry after TP1.
8️⃣ Honest session statistics with a fixed win definition.
A closed trade counts as a win only if TP1 was touched before closure — including break-even stop-outs after TP1 (you banked at least 1R or protected the position). Everything else is a loss, including reversals that never reached TP1. The dashboard shows closed trades, W/L, win rate with a ▰▱ gauge, and a "Form" strip of the last 10 outcomes. Stats are session-scoped and reset on chart reload — this is transparent live tracking of the current settings on the current chart, not a backtest report.
9️⃣ Trend P&L tracker and theme-aware visual system.
An optional floating label follows price in real time and shows the directional % move since the current trend flip (a falling bear trend shows positive %), anchored by a dotted baseline at the trend start price. The label turns red when the trend is under water. The entire visual layer — band transparencies, heatmap fills, dashboard, profile, SL/TP palette — has separate Dark and Light calibrations (Auto-detected from the chart background), because bright hues that look right on dark charts wash out on white ones. TP lines recolor to solid teal with a ✓ when touched; the SL line dims and the entry label annotates "→ SL (BE)" when break-even activates. SL/TP lines persist after the trade closes as a visual record until the next entry replaces them.
⚙️ HOW IT WORKS — CALCULATION FLOW
Step 1 — Band geometry: The preset (or Custom inputs) resolves the base multiplier and proportional step; four multipliers m1–m4 are derived and multiplied by ATR (default length 13).
Step 2 — Ratcheting trail: In an uptrend each band only rises (max-lock); in a downtrend only falls (min-lock). On a flip the whole stack re-seeds on the opposite side of price.
Step 3 — Flip detection: A close beyond the previous bar's value of the chosen flip band (2/3/4) reverses the trend state. Flip labels print on confirmed bars after the warm-up period.
Step 4 — Pullback tracking: Any touch of Band 1–4 against the trend arms a pending retest with its maximum depth, valid for the retest window; pendings decay each bar and are voided on a flip.
Step 5 — Reclaim and scoring: A directional close back beyond Band 1 triggers scoring: depth (25) + candle (20) + volume (20) + HTF bias (20) + trend age (15). Score ≥ threshold and cooldown elapsed → confirmed signal on bar close.
Step 6 — Trade engine: The signal opens or reverses a position; SL is placed (wick-anchored or ATR), TP1–TP3 are projected as risk multiples; break-even, TP recolors and the four closure paths are managed bar by bar with pessimistic resolution.
Step 7 — Segment profile: On the last bar the profile is rebuilt from the flip bar: range-distributed accumulation → POC → 70% Value Area expansion → HVN/LVN detection → drawing.
Step 8 — Reporting: The dashboard updates trend state, signal state, profile levels, live trade card and session statistics; alerts fire on bar close in within-bar chronological order (management → closures → reversal → entries → info).
📖 HOW TO USE
🎯 Quick start:
1. Add the indicator to your chart and pick a Band Width Preset: Scalping for 1–15M, Balanced for most timeframes, Deep Trend for D–W position trading.
2. Set the Higher Timeframe Bias one or two steps above your chart (e.g. 1H while trading 15M).
3. Choose a Risk Preset that matches your style, or leave Balanced.
4. Watch the dashboard: Trend + HTF Bias aligned means you only consider signals in that direction with full conviction; the retest diamonds do the timing.
5. After 15–20 closed trades, read the Stats section and tune Min Retest Score up (fewer, cleaner signals) or down (more signals) for your instrument.
👁️ Reading the chart:
— 🟢 / 🔴 Band stack + heatmap = the liquidity trail zone; the deeper the fill, the closer price is to a trend flip.
— ◆ diamond with a number = confirmed scored retest entry (the number is the 0–100 quality score; hover the tooltip for the full component breakdown).
— ▲ / ▼ FLIP = confirmed trend reversal through the chosen flip band.
— Long ▲ / Short ▼ = trade entry taken by the engine on a flip (printed when there is no retest diamond on the same bar, so every entry is visibly marked).
— ENTRY / SL / TP1–TP3 lines = the live trade card; TP lines turn solid teal with ✓ when touched; a dimmed SL with "→ SL (BE)" on the entry label means the stop sits at break-even.
— 🟡 POC line = highest-volume price of the current trend leg; dashed VAH/VAL = Value Area edges; LVN labels = volume vacuums inside the Value Area.
— ▲ +X.XX% floating label (optional) = real-time directional P&L of the current trend since the flip.
📊 Dashboard fields:
— Trend / Age : direction of the band stack and bars since the last flip.
— HTF Bias : higher-timeframe EMA-50 direction (soft score component).
— Signal : current engine position — LONG, SHORT or Wait.
— Last signal : most recent event, its score, and bars elapsed.
— POC / VA High / VA Low : live segment profile levels.
— Entry / SL / TP1–TP3 / R:R / SL Dist % : the open trade card ("BE @" marks a break-even stop; ✓ marks touched targets); collapses to one row when flat.
— Trades / W-L / Win rate / Form : session statistics; ▰ = win, ▱ = loss, newest on the right.
🔧 Tuning guide:
— Too many weak signals: raise Min Retest Score toward 85–90, or increase Signal Cooldown.
— Too few signals: lower Min Retest Score toward 55–65, or widen the Retest Window to 10.
— Whipsaw flips on a choppy symbol: switch Flip Band to Deep (Band 4) or move to the Deep Trend preset.
— Flips lag too far behind on fast moves: Flip Band → Fast (Band 2) or the Scalping preset.
— Stops feel too tight / too wide: switch SL Mode between Wick-Anchored and ATR, or change the Risk Preset; on volatile symbols prefer Conservative.
— Profile looks coarse on long trends: raise Profile Rows to 50+ and Max Profile Bars toward 800.
— Counter-trend retests keep printing: set an explicit Higher Timeframe Bias — counter-bias signals lose 20 points and rarely clear a high threshold.
⚙️ KEY SETTINGS
⚙️ Trend Engine:
— Band Width Preset (default Balanced): Scalping 2.5 × ATR / step 0.20, Balanced 4.0 / 0.25, Deep Trend 6.0 / 0.30, or Custom.
— Base Multiplier (default 5.0) and Band Spacing (default 0.25): manual geometry, active in Custom preset only.
— ATR Length (default 13): lookback for band-width ATR.
— Source (default close): price series for trailing and flips.
— Flip Band (default Balanced / Band 3): which band a close must breach to flip the trend.
— Higher Timeframe Bias (default empty = chart TF): HTF for EMA-50 bias scoring.
🎯 Signals:
— Min Retest Score (default 80): 0–100 quality threshold for retest diamonds.
— Retest Window (default 8 bars): how long a band touch stays armed for a reclaim.
— Signal Cooldown (default 5 bars): minimum spacing between signals, shared across directions.
📦 Volume Profile:
— Show Segment Volume Profile (on), Profile Rows (30), Profile Width (34 bars), Max Profile Bars (500).
— Show POC (on), Show Value Area 70% (on), Show HVN / LVN Levels (on), Profile Label Size (Small).
🛡️ Risk Management:
— Risk Preset (default Balanced): Conservative / Balanced / Aggressive / Scalping / Custom.
— SL Mode (default Wick-Anchored): structure-aware wick stop vs. fixed ATR distance.
— ATR Length (Risk) (14), SL Multiplier (1.5), TP1 / TP2 / TP3 Multipliers (1.0 / 2.0 / 3.0 × risk) — Custom preset.
— Break-Even After TP1 (on): stop moves to entry once TP1 is touched.
— Show SL/TP Lines / Labels / % Distance and per-line style controls (Entry dotted, SL solid, TP dashed by default).
🎨 Visual:
— Theme (Auto / Dark / Light), Show Trail Bands , Show Band Heatmap Fill , Show Retest Signals , Show Flip Labels , Show Trend P&L Tracker (off by default), label size controls, watermark toggle, Bull / Bear color pickers.
📊 Dashboard:
— Show Dashboard (on), position (5 anchors), font size, and independent toggles for the Market, Profile, Trade and Stats sections.
🔧 Advanced:
— HVN Threshold (default 0.55 × POC volume): minimum relative volume for an acceptance node.
— LVN Threshold (default 0.30 × POC volume): maximum relative volume for a vacuum node.
🔔 ALERTS
— 🟢 LONG ENTRY / 🔴 SHORT ENTRY — ticker, timeframe, price, signal score, SL, TP1–TP3, R:R. Plain text or JSON webhook format ({"action":"buy"...}) for bot integrations.
— 🎯 TP1 / TP2 / TP3 HIT — target touches with prices (optional).
— 🛡️ BREAK-EVEN — stop moved to entry after TP1 (optional).
— 🛑 SL HIT / BE STOP-OUT — stop-loss trigger with direction, entry and stop prices; a distinct BE variant when the stop was at break-even.
— 🔄 REVERSAL — position reversed by an opposite signal, with the closed trade's outcome (after / before TP1).
— ▲ / ▼ TREND FLIP — informational flips that did not open or reverse a trade.
— ⚡ LVN BREAK — a close crossing a Low Volume Node of the live segment profile (price entering a volume vacuum often accelerates).
All alerts fire once per bar close. Alerts are ordered by within-bar chronology: trade management → closures → reversal → new entries → informational.
⚠️ IMPORTANT NOTES
— 🚫 No repainting. All signals, entries and alerts are confirmed on bar close (barstate.isconfirmed). The trend flip compares against the previous bar's band value. The HTF bias uses the higher timeframe's previous closed bar, so its value never changes retroactively. A warm-up guard suppresses signals for the first max(3 × ATR length, 60) bars.
— 📐 The segment volume profile is a live construct. It is redrawn on the last bar for the current trend leg and evolves as the leg grows — this is by design (it describes the present segment), and historical profile states are not preserved.
— 📊 Session statistics reset on chart reload. They are transparent live tracking of the current settings on the current symbol and timeframe — not a backtest, and past performance does not guarantee future results.
— ⚖️ Same-bar ambiguity is resolved pessimistically. If one bar touches both a stop and a target, the stop wins in the statistics. Intrabar sequence cannot be known from OHLC data, so the engine never gives itself the benefit of the doubt.
— 🕳️ Zero-volume symbols use a range-weighted proxy for the profile, and the volume score component defaults to a neutral value — profile shapes on such symbols reflect price dwell time, not traded volume.
— 🛠️ This is an analysis and trade-planning tool, not an automated trading bot. It detects trend state, scores retests, projects stops and targets, and tracks outcomes — trade decisions remain yours.
— 🌐 Works on all markets and timeframes. อินดิเคเตอร์
Universal Scalper SystemThe Universal Scalper System is a powerful technical indicator designed specifically for intraday scalping on lower timeframes like 1-minute and 5-minute charts. It provides a streamlined approach to trading by combining trend identification with essential market data.
Key Features:
9 EMA Crossover: Generates clear, actionable Buy and Sell signals the moment the price crosses and closes beyond the 9-period Exponential Moving Average (EMA).
Live Market Dashboard: Includes a fully customizable dashboard that displays:
Current Chart Timer: Countdown until the current candle closes.
15-Minute Timeframe Timer: Tracks the closure of the 15-minute candle for higher-timeframe context.
Real-time Candle Info: Shows if the current candle is Bullish or Bearish along with live volume data.
Highly Customizable: Traders can easily adjust EMA settings, dashboard colors, text sizes, and dashboard positioning directly through the settings panel to fit their unique workspace.
Built-in Alerts: Features integrated alert conditions for both Buy and Sell signals, ensuring you never miss a trading opportunity.
This system is perfect for traders who prioritize speed, clean visuals, and real-time data at their fingertips.
Tags: Scalping, EMA, CrossOver, Dashboard, TradingSystem, PriceAction, TechnicalAnalysis, Indicator, Scalper, LiveTimer อินดิเคเตอร์
Triple Confluence Navigator [MarkitTick]💡 A highly sophisticated analytical framework designed to identify high-probability market setups by demanding alignment across three distinct dimensions of market data: momentum crossovers, adaptive volatility momentum tracking, and structural price action. Instead of relying on a single lagging variable, this system synthesizes traditional oscillators, advanced digital signal processing (such as Kalman filtering), and structural swing analysis. By integrating automated risk management, multi-take-profit targeting, and a real-time tracking dashboard, it operates as a comprehensive suite for systematic market analysis.
✨ Originality and Utility
● A Multi-Dimensional Consensus Model
Most standard technical tools assess the market through a single lens, such as pure price action or pure momentum. The originality of this system lies in its stringent confluence requirements. It isolates three independent mathematical models and requires all of them to agree within a user-defined chronological window. This significantly filters out market noise and reduces the frequency of false positive signals commonly associated with sideways or choppy conditions.
● Oscillatory Supertrend Application
While a Supertrend is traditionally overlaid on raw price action, this script innovates by calculating an Average True Range (ATR) directly on the Adaptive RSI (ARSI) oscillator. By establishing a Supertrend over momentum rather than price, the tool identifies the structural trend of the underlying momentum itself, offering a preemptive view of market shifts before they fully materialize in physical price movement.
● Dynamic Risk-Bounding
The utility is heavily elevated by its integrated risk management architecture. Rather than relying on static pip/tick stops, the system calculates dynamic risk parameters comparing structural pivot ranges against ATR-capped maximums. This ensures that the generated stop-loss levels are mathematically sound, adapting to prevailing market volatility while adhering to strict structural invalidation points.
🔬 Methodology and Concepts
• Pillar One: The Cardwell Momentum Averages
The first confluence pillar focuses on moving average crossovers applied to the Relative Strength Index (RSI). Instead of standard Simple Moving Averages, the system utilizes advanced smoothing algorithms—specifically Kalman Filters or Low Latency Adaptive Moving Averages (LLAMA). This separates the underlying momentum signal from high-frequency market noise, establishing a primary directional bias.
• Pillar Two: Adaptive RSI and Oscillator Supertrend
The second pillar generates an Adaptive RSI (ARSI), normalizing the absolute differences of price movement against historical highest highs and lowest lows. This adaptive data stream is then heavily filtered and paired with a momentum-based Supertrend. A crossover between the ARSI and its own moving/volatility band dictates the secondary momentum confirmation.
• Pillar Three: Market Structure and Swing Pivots
The third pillar grounds the mathematical momentum in tangible price action. The engine calculates precise pivot highs and pivot lows over a specified lookback period. A confirmed signal requires price to physically breach these structural swing levels, registering a Break of Structure (BoS) or a Change of Character (ChoCh).
• The Confluence Window and HTF Bias
Signals from these three pillars rarely occur on the exact same bar. The system tracks the bars elapsed since each respective signal. If all three pillars trigger in the same direction within the defined confluence window, a master setup is generated. Furthermore, an overarching Higher Timeframe (HTF) security check ensures that these local confluences do not contradict the macro directional trend.
🎨 Visual Guide
• On-Chart Trade Mapping
Entry Line: A dashed line indicating the exact closing price of the signal bar.
Stop Loss (SL) Line: A dashed line representing the structural or volatility-based invalidation point, labeled with an X.
Take Profit (TP) Lines: Three distinct dashed lines projecting the target levels based on the calculated risk multiplier.
• Signal Markers and Fills
Labels: Distinct textual markers reading BUY or SELL highlight the precise candle where the triple confluence is met.
Risk Zone: A translucent shaded area bridging the Entry line and the Stop Loss line, visualizing the total capital exposure.
Reward Zone: A differently colored translucent shading extending from the Entry to the final Take Profit (TP3) level.
• Real-Time Dashboard
The Heads-Up Display (HUD) is a table anchored to the chart corner. It outputs the live status of the Cardwell MA, Adaptive ARSI, and Structure modules. It includes dynamic visual bars indicating current RSI and ADX levels, displays the state of the HTF bias, and calculates the live floating risk-to-reward ratio of an active setup.
📖 How to Use
• Identifying Setups
Monitor the chart for the appearance of the signal labels. When a setup is validated, the system will immediately draft the Entry, SL, and TP lines on the chart. Assess the Risk Zone and Reward Zone visuals to ensure the potential setup aligns with your personal risk tolerance.
• Dashboard Monitoring
Use the dashboard to evaluate the health of the confluence. If the ADX visual bar is extremely low, it indicates market chop, suggesting that even a confluence signal might suffer from lack of follow-through. Monitor the structural trend state in the dashboard to understand the broader context of the immediate signal.
• Trade Management
The predefined TP1, TP2, and TP3 lines serve as partial profit-taking areas. As price achieves TP1, consider shifting risk to breakeven, utilizing the subsequent lines as trailing markers. The HUD's Live R metric tracks the real-time fractional gain or loss based on the initial risk unit.
⚙️ Inputs and Settings
• Momentum & Averages
RSI Len: Defines the lookback period for the base oscillator.
Fast/Slow Len: Defines the lookback for the moving averages applied to the oscillator.
Filter Type: Dropdown to select between standard RMA, recursive Kalman Filtering, or adaptive LLAMA.
• Adaptive Volatility
Kalman Process & Measurement Noise: Granular inputs adjusting the responsiveness and smoothness of the Kalman state estimation.
LLAMA Min/Max Alpha: Bounds for the dynamic efficiency ratio used in the adaptive moving average.
ST Factor: The volatility multiplier that determines the width of the ARSI Supertrend band.
• Structure & Trade Configuration
Swing Len: The number of bars required to confirm a structural high or low.
SL ATR Mult: The maximum allowable distance for a stop loss, based on True Range.
SL Struct Buffer: The fractional ATR distance placed beyond a swing pivot to prevent premature stop outs.
TP1/TP2/TP3 R:R: The dynamic risk multiples used to project the take profit levels.
Confluence Window: The maximum number of bars allowed to pass between the three distinct pillar signals for them to remain valid together.
🔍 Deconstruction of the Underlying Scientific and Academic Framework
• Recursive State Estimation (Kalman Filter)
The inclusion of a Kalman-inspired filter applies concepts from control theory and digital signal processing. Unlike simple averaging which inherently introduces phase lag, this algorithm estimates the true state of the momentum by predicting the next value and updating its estimation based on the actual measured value. By weighing the process noise against the measurement noise, the script aggressively smooths erratic momentum spikes while instantly snapping to genuine directional shifts.
• Adaptive Linear Regression (LLAMA)
The Low Latency Adaptive Moving Average applies statistical regression to determine the current market phase. It calculates the slope of the data over a set period and compares it to the absolute range of that period to derive an Efficiency Ratio. This ratio acts as a dynamic alpha coefficient. In highly efficient, directional markets, the alpha increases, forcing the average to tightly track the data. In inefficient, mean-reverting markets, the alpha decreases, flattening the average to ignore statistical noise.
• Statistical Variance and Orthogonal Agreement
By mandating a Triple Confluence, the system relies on the reduction of statistical variance. The three pillars—price structure, base momentum, and adaptive momentum bands—are mathematically orthogonal; they calculate market state using distinctly different algorithms. The probability of all three aligning purely by chance (random walk) is exceptionally low. Therefore, when confluence is achieved, it represents a statistically significant deviation from market equilibrium, highlighting a high-probability directional vector.
⚠️ Disclaimer
All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. We expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion. อินดิเคเตอร์
Two Sigma Factor Composite [JOAT]TWO SIGMA FACTOR COMPOSITE
A tribute to the multi-factor approach pioneered by Two Sigma — long-only, long/short, and risk-premia funds that decompose returns into orthogonal factor exposures, normalise each factor onto the same statistical scale, and combine them into a single signed score. Two Sigma Factor Composite builds five canonical factors (Momentum, Quality, Value, Volatility, Mean-Reversion), Z-normalises each against a rolling baseline, sum-normalises the user-controllable weights, and outputs a composite score with signal labels, factor sparklines on the chart, and a rolling hit-rate backtest.
The five factors
Each factor is computed independently and Z-normalised over a configurable window (default 100 bars) with optional outlier clipping (default ±4σ):
Momentum — return / volatility over the configurable momentum window (default 50 bars). The classic "trend" factor.
Quality — inverse of recent realised volatility (default 50-bar window). Lower volatility = higher quality; an asset that has been calmer is treated as higher quality, consistent with academic factor research.
Value — deviation from a long mean (default 200-bar SMA). Negative deviation = "cheap" (positive value factor exposure); positive deviation = "expensive". The classical cross-sectional value definition, adapted to time series.
Volatility — percentile rank of recent realised volatility (default 20-bar stdev percentile-ranked over 252 bars). High vol = negative factor; low vol = positive factor.
Mean-Reversion — signed deviation from a 20-bar mean (default). Captures short-term reversion bias.
Each factor's window is independently configurable. All five outputs are Z-scores capped at ±4σ to prevent any single outlier from dominating the composite.
Sum-normalised weights
Five weight sliders (default 1.0 each) are normalised internally so any positive combination is valid. Default equal weight is the most defensible baseline; tune individual weights to bias the composite. Want a pure momentum + quality read? Set the others to 0.1 and Momentum/Quality to 2.0. The composite reshapes itself live.
Signal engine — bounded composite with three tiers
The composite is bounded by the clipping cap. The signal engine layers three thresholds:
Buy — composite crosses above the buy threshold (default +1.0σ).
Sell — composite crosses below the sell threshold (default −1.0σ).
Extreme Bull / Extreme Bear — |composite| crosses ±2.0σ. The script's strongest read.
A configurable signal cooldown (default 10 bars) prevents clustering.
Factor sparklines (the signature visual)
The script renders inline sparklines on the chart for all five factors — small line plots that visually show each factor's recent Z trajectory. Configurable base offset (vertical position below zero), row spacing, amplitude, and per-row transparency mapping. At a glance you see which factors are driving the composite and which are flat.
When all five sparklines lean the same way, the composite is high-confidence. When they disagree, the composite is a weighted compromise — the sparklines tell you the truth that a single number cannot.
Visual system
Composite line (configurable width, default 3px) with sign-coloured fill toward zero (configurable transparency).
Threshold lines at ±buyTH and ±extremeTH (configurable transparency).
Buy / Sell labels on chart on threshold crosses.
Factor sparklines — five inline Z-trajectory plots in the pane.
Optional chart-background override to follow chart.bg_color.
A locked Emerald Night palette: vivid green bull / vivid red bear / sage mid on a deep emerald background — strict 2-hue discipline with bg. No third colour invented anywhere; all variations are transparency-only.
Dashboard
Monospaced table positionable to any of eight corners. Surfaces:
Composite Z value and sign.
Per-factor Z rows (Momentum / Quality / Value / Volatility / Mean-Reversion).
Factor agreement percentage (how many factors agree with composite sign).
Last signal direction with bars-ago.
Weight configuration in use.
Backtest stats row — rolling forward-N-bar hit rate (configurable lookahead, default 10 bars). The script's own performance audit.
Alerts
Five alert conditions, each independently controllable:
BUY Cross (composite crosses above buy threshold)
SELL Cross
Extreme Bull (composite > +2.0σ)
Extreme Bear (composite < −2.0σ)
Low Factor Agreement (% of factors agreeing falls below the configurable threshold, default 40%) — the script's "no edge" warning.
How to read it
Three reads, in order of conviction:
Extreme score with high factor agreement (e.g. composite > +2.0σ AND agreement > 80%) — the highest-conviction read the script produces. Four or five factors are pointing decisively one way, and the composite is at a statistical extreme.
Buy / Sell with sparkline confirmation — visual confirmation that the directional read is being driven by multiple factors, not just one. If the composite is bullish but only the Momentum sparkline is leaning, the read is fragile; if Momentum + Quality + Value + Mean-Reversion all lean, the read is robust.
Low Agreement alert — stand-aside signal. The factors disagree internally; the composite is a wash. Wait for re-alignment.
Suggested settings
Defaults (momentum 50 / quality vol 50 / value 200 / vol 20/252 / MR 20, Z window 100, ±4σ clip, ±1.0 buy/sell, ±2.0 extreme, 10-bar cooldown) are tuned for daily charts on broad indices — the timeframes where factor approaches are statistically meaningful. For lower timeframes drop all windows proportionally. For weekly+ keep defaults; factor reads on weekly are the canonical institutional horizons.
Originality / what's reused
The factor-investing framework is published academic finance — Fama-French 1992, Carhart 1997, AQR 2013, and many others. The five factors used here (Momentum, Quality, Value, Volatility, Mean-Reversion) are the canonical institutional factor set. The implementation here — the five-factor pipeline with each factor's window independently configurable, the rolling Z-normalisation with outlier clipping, the sum-normalised five-weight composition, the bounded-composite signal engine with three-tier thresholds, the inline factor sparklines render in the same pane, the rolling forward-bar hit-rate backtest, and the strict 2-hue alpha-only palette — is JOAT-original. No third-party code reused. The script is a tribute to Two Sigma-style factor-composite portfolio construction, not a direct replication of any proprietary Two Sigma model.
Limitations
The five factors are computed from chart data only — they are time-series proxies of the cross-sectional factors used in true multi-asset portfolios. The Z-normalisation needs the window populated; early bars give a warm-up read. The forward-N-bar hit-rate backtest is descriptive of recent signal behaviour under the current settings; it is not a predictive metric. Factor exposures historically underperform for extended periods — the dashboard's agreement row and the low-agreement alert exist specifically to warn you when the model is breaking down.
—
-made with passion by jackofalltrades
อินดิเคเตอร์
Renaissance Mean Reversion [JOAT]RENAISSANCE MEAN REVERSION
A tribute to the Medallion-style statistical-arbitrage approach: do not trade price — trade the spread between price and its smoothed expectation , measure how reliably that spread mean-reverts using an AR(1) half-life regression , and only fire signals when the half-life is fast enough to be tradeable. The result is a discipline-enforcing engine that says no more often than yes : it refuses to take a reversion trade until the spread shows it actually reverts.
The synthetic spread
The script builds a synthetic pair from two views of the same instrument:
Leg 1 — current price (configurable source).
Leg 2 — long EMA of price (default 50-bar; configurable).
Spread = price − long EMA (or ln(price) − ln(EMA) when log-spread mode is on, removing scale).
The spread is then Z-scored over a configurable lookback (default 100 bars) to produce a stationary stationary signal that says: "how many standard deviations is the spread from its own mean right now?". This is the textbook stat-arb construction, single-leg version.
Half-life regression — the gate
This is what makes the script institutional rather than retail. Reversion is meaningless if the spread does not actually revert. The script fits an AR(1) regression over a configurable window (default 120 bars):
Δspread_t = α + β · spread_{t−1} + ε_t
The half-life of mean reversion is then:
HL = −ln(2) / ln(1 + β)
When β is negative and close to zero, HL is short — the spread reverts quickly. When β approaches −1, HL is huge — the spread barely reverts. When β is positive, the spread is anti-mean-reverting (trending) and the script will refuse to trade.
A configurable Max Half-Life (default 20 bars) gates signals — entries only fire when HL is below this threshold. A configurable Min Half-Life (default 0.5) floors the estimate to avoid degenerate near-zero values that would otherwise produce explosive signals.
This is the headline filter. Roughly 50–70% of bars on most instruments fail it — which is the point. You only trade when the spread has earned the right.
Entry / Exit logic
R-LONG — fires when Z < −entryZ (default −2.0) AND HL is below the max threshold AND the re-entry cooldown has elapsed. Spread is stretched too far below, will revert.
R-SHORT — fires when Z > +entryZ AND HL is below the max threshold AND cooldown elapsed.
R-EXIT — fires when |Z| drops below exitZ (default 0.25) OR when Max Hold Bars (default 40) has been reached, whichever comes first.
A configurable re-entry cooldown (default 3 bars) prevents immediate re-firing on the same side.
Visual system — minimal mono institutional
The aesthetic is intentionally austere — Renaissance's research-paper minimalism. Pure monochrome:
Z guides on right side of chart — small text labels showing current Z, HL, and tradeable status.
R-LONG / R-SHORT / R-EXIT labels — clean text tags on entry and exit bars.
Half-Life overlay label — current HL value displayed near the live close.
Shaded ribbon between price and slow EMA (configurable transparency).
Trade entry/exit shapes — small markers at signal bars.
Single-hue tradeable-regime tint (off by default) — subtle bgcolor when HL is fast AND Z is stretched.
A locked Minimal Mono palette: white bull / gray bear / pure-black background. No accent colours. The chart looks like a quant research paper. Intentional.
Dashboard
Monospaced table positionable to any of eight corners. Surfaces:
Current spread value and Z score.
Current half-life (in bars) with tradeable / non-tradeable flag.
AR(1) β coefficient (the regression's directional read).
Z thresholds in use.
Last signal direction with bars-ago.
Max-hold bars remaining (when in a position).
Rolling backtest tracker
The script tracks the last N closed reversion trades (configurable, default 200) and surfaces:
Total trades, wins, losses.
Win rate.
Average bars-to-exit.
Average Z magnitude at entry.
Hit-rate by side (R-LONG vs R-SHORT).
This is the script's own performance audit — you see whether the engine is finding genuine reversion or whether the current regime is breaking it.
Alerts
Three alert conditions, each independently controllable:
Reversion Entry (R-LONG or R-SHORT)
Reversion Exit (R-EXIT)
Half-Life crosses Max Half-Life (regime change — reversion is becoming unreliable)
How to read it
Three reads, in order of conviction:
R-LONG / R-SHORT with very fast HL (e.g. HL = 4 bars on a 1H chart) — the script's intended high-conviction setup. The spread is stretched, the math says it will revert quickly, the chart agrees. This is the institutional setup.
Half-life crossing above max (alert) — regime warning. The instrument is shifting from mean-reverting to trending. Any open R-positions should be re-evaluated; new R-entries should be paused until HL re-tightens.
Sustained R-EXIT triggers from time-stop (max-hold) rather than from Z returning to neutral — the script is exiting because the trade ran out of time, not because the thesis played out. Recurring time-stop exits mean the current parameters do not fit the instrument.
The rolling backtest win-rate is your auditor. When it climbs, the engine is finding edge. When it grinds flat or declines, the regime has changed and the parameters need adjustment.
Suggested settings
Defaults (long EMA 50, Z lookback 100, regression window 120, max HL 20 bars, entry Z 2.0, exit Z 0.25) are tuned for 1H–4H on liquid markets where mean reversion is statistically meaningful. For lower timeframes drop everything proportionally (long EMA 25, Z 50, regression 60). For HTF raise everything (long EMA 100, Z 200, regression 200). The max HL is the most sensitive parameter — narrow it (10–15) for high-conviction-only filtering; widen it (25–30) for more frequent signals.
Originality / what's reused
The synthetic-pair Z-score construction is textbook stat-arb. The AR(1) half-life regression is published quantitative finance — the Ornstein–Uhlenbeck-process speed-of-reversion estimator. The implementation here — the dual-leg synthetic spread with optional log construction, the rolling Z-normalisation pipeline, the AR(1) regression with HL formula and min/max-HL gating, the entry/exit state machine with cooldown and max-hold, the rolling N-trade backtest tracker, and the minimal-mono institutional aesthetic — is JOAT-original. No third-party code reused. The script is a tribute to the Medallion-style approach, not a direct replication of any proprietary Renaissance Technologies code.
Limitations
The single-leg "synthetic pair" (price vs its own EMA) is a degenerate stat-arb construction by design — true stat-arb uses two genuinely co-integrated instruments. Pine's per-script symbol limitation makes a two-instrument cointegration construction impractical for a standalone indicator; this script captures the methodology of stat-arb (spread + Z + HL gate) on the single-instrument case. The HL estimate is statistical and needs the regression window populated; early bars give a warm-up read.
—
-made with passion by jackofalltrades
อินดิเคเตอร์
Citadel Microstructure Edge [JOAT]CITADEL MICROSTRUCTURE EDGE
A tribute to the high-frequency / market-making style of microstructure-edge extraction. Builds three orthogonal microstructure signals — tick imbalance (which side is aggressively crossing the tape), spread tightness (how thin the bid-ask is relative to its baseline), and micro momentum (the EMA-pair spread on the fastest timeframe) — then composes them into a single decaying edge value with an exponential half-life. When the edge crosses a configurable threshold and has sustained for N bars same-sign, a directional signal fires. Cooldown plus asymmetric lockout keep the signal stream institutional.
Three orthogonal components
Each component is computed independently and Z-normalised (optional for tick imbalance) for stationarity:
Tick Imbalance — LTF-reconstructed buy/sell tick classification. Output is the rolling imbalance bounded in ; optionally Z-normalised over a configurable window (default 60 bars) for cross-asset stationarity. The dominant input for fast / scalping reads.
Spread Tightness — (H − L) / C against its own EMA-smoothed baseline, Z-scored. Tight spread (low relative range) is constructive for whichever side momentum favours. The sign is borrowed from the micro-momentum factor.
Micro Momentum — EMA-fast minus EMA-slow on the tick-reconstructed flow, Z-scored. The directional engine.
Default weights (0.45 / 0.25 / 0.45) bias the read toward the two most-actionable components (tick imbalance + momentum), with spread tightness as confirmation. Optional auto-normalisation to sum=1.
Decaying edge with half-life ~ 3 bars
Microstructure edges decay quickly. The script does not just sum the three components per bar — it accumulates with decay :
edge_t = decay × edge_{t−1} + contribution_t
The default decay (0.78) gives the edge a half-life of approximately 3 bars — the standard market-making decay window. Older contributions fade out automatically; new contributions get incorporated immediately. This is the institutional way to track a fast signal without re-introducing flicker.
Sustained-edge signal logic
Edge Threshold (default 0.75) — minimum |edge| magnitude required to fire.
Sustained Edge (default 5 bars same sign) — the edge must have held its sign for N consecutive bars before a signal fires. This is the script's most important false-positive filter.
Cooldown (default 7 bars) — minimum bars between signals.
Asymmetric lockout (default ON) — an opposite-side signal CAN fire during cooldown. This means a quick flip from buy to sell remains responsive while consecutive same-side signals are suppressed.
Visual system
Edge histogram — projected at the top of the chart at a configurable percent of price (default 2% of price, 1.2% top padding). Histogram columns are coloured by edge sign with magnitude-proportional intensity. At a glance you see the edge's recent trajectory.
Buy / Sell labels with optional Unicode lightning glyph (toggleable to plain ">").
Slope-tinted micro ribbon — the micro fast / slow EMAs plotted with a translucent fill coloured by spread sign. Toggleable.
Subtle background shade by edge sign (off by default).
A locked Crimson Pulse palette: electric blue buy edge / lime-yellow sell edge / muted neutral on a deep crimson-black ground — the institutional HFT aesthetic.
Dashboard
9-row monospaced table positionable to any of nine corners. Surfaces:
Edge value with status (BUY / SELL / FLAT).
Tick imbalance value.
Spread tightness Z.
Micro momentum Z.
Sustained-edge counter (how many consecutive same-sign bars).
Last signal direction with bars-ago.
Decay setting and effective half-life.
Cooldown remaining.
Configuration: LTF, weights, threshold.
Alerts
Three alert conditions, each independently controllable:
Edge Buy
Edge Sell
Sustained Edge (N bars same sign) — the script's headline alert; fires before the signal does, useful as an early-warning notification.
{image]https://www.tradingview.com/x/ybVYCAr3/
How to read it
Three reads, in order of conviction:
Sustained edge into a structural level — the highest-conviction read. The microstructure has been one-sided for N+ bars AND price is at a known S/R; the next move into the level usually breaks it.
Edge buy / sell with all three components agreeing — fast directional commitment. The dashboard's per-component rows tell you whether the read is dominated by tick imbalance (aggressive tape) or by micro momentum (sustained direction) or by spread tightness (regime-aware confirmation).
Edge above threshold but not sustained — early-warning state. Edge has crossed threshold but the sustained counter has not yet reached N. Watch the counter — if it ticks up bar-by-bar, the signal is forming; if it drops, the edge is decaying.
Suggested settings
Defaults (1m LTF, spread EMA 14 / Z 60, micro EMA 3/8 / Z 60, weights 0.45/0.25/0.45, edge threshold 0.75, sustain 5 bars, decay 0.78, cooldown 7 bars) are tuned for 5m–15m charts on liquid futures and crypto where microstructure has meaningful presence. For 1m scalping drop LTF to 15s (Premium required) and sustain to 3 bars. For HTF the script is not the right tool — microstructure edges decay too quickly to be meaningful on 1H+ timeframes.
Originality
The implementation — the three-component microstructure pipeline (tick imbalance + spread tightness + micro momentum), the LTF tick-rule reconstruction with optional Z-normalisation, the weighted-sum composition with auto-normalisation, the exponential-decay edge accumulator with configurable half-life, the sustained-edge counter and asymmetric-lockout signal logic, the price-anchored histogram render at the top of the chart, the slope-tinted micro ribbon, and the Crimson Pulse palette — is JOAT-original. No third-party code reused. The script is a tribute to Citadel-style market-making microstructure-edge extraction, not a direct replication of any proprietary Citadel code.
Limitations
Reconstructed tick direction is an inference — the tick rule is the accepted public-market proxy but is not a direct read of bid/ask. Sub-minute LTFs require a TradingView Premium or Ultimate plan. Microstructure edges decay fast by design; on 1H+ timeframes the engine produces few signals — that is correct behaviour, not a bug.
—
-made with passion by jackofalltrades
อินดิเคเตอร์
AQR Momentum Factor [JOAT]AQR MOMENTUM FACTOR
A tribute to AQR Capital Management's seminal momentum-factor research — including Asness's classic "Value and Momentum Everywhere" framework. The script estimates cross-horizon momentum by ranking returns across five independent look-back horizons (default 1, 5, 20, 60, 120 bars — including the AQR-canonical 12-1 month equivalent), volatility-adjusting the result, and producing a composite momentum score in that fires Buy / Sell labels when the score crosses configurable thresholds.
Why cross-horizon ranking
A single momentum lookback is fragile. AQR's published research (Asness, Moskowitz, Pedersen, and others) shows that momentum is best estimated by agreement across horizons — when short-, medium-, and long-term momentum all point the same way, the signal is much more reliable than any single horizon alone. The script encodes that directly:
Five horizons — 1 / 5 / 20 / 60 / 120 bars by default (configurable independently).
At each horizon the return is percentile-ranked against its own trailing 252-bar (trading year) distribution.
The five percentile ranks are mapped from to (50% → 0; 100% → +1; 0% → −1).
The composite is the average of the five mapped ranks.
The output is bounded in and represents how unusual current momentum is relative to its own recent history, averaged across timeframes .
Volatility adjustment (optional but on by default)
The composite is divided by a volatility Z-score over a configurable window (default 60 bars), clamped at a Z cap (default 2.5) to avoid division-by-zero blow-ups. This dampens signals during high-volatility regimes — which is what AQR's "low-vol momentum" research finds is the genuinely tradeable component of the factor.
When vol-adjustment is off, the score is raw cross-horizon momentum. When it is on, the score is risk-adjusted momentum, which is the institutional read.
Signal engine
BUY — composite > buy threshold (default +0.70 → top ~15% across horizons).
SELL — composite < sell threshold (default −0.70).
Extreme High / Low alerts — composite > +0.90 / < −0.90. The script's strongest reads.
A configurable Min Bars Between Same-Side Signals (default 5) prevents clustering. A confirm-on-close toggle (default ON) ensures non-repaint signals.
Bar colouring — strict 2-hue discipline
The chart bars are coloured by the sign of the composite, with saturation proportional to magnitude. The "Bar Color Saturation Floor" input controls how aggressively the colour fades when momentum is weak — at 0 the bars are always full colour; at 1 they fade toward background when momentum is weak. The defaults (0.65) produce a clean institutional read where strong-momentum bars stand out and weak-momentum bars merge into the background.
A hidden composite-line plot (toggleable) opens a pane below the chart for users who want to see the score itself, or feed it to Data Window / webhook automation.
Visual system
Buy / Sell labels on threshold crosses (configurable size).
Bar colouring by signed momentum with saturation floor.
Hidden composite line (toggleable, pane).
Light regime background (off by default) — very subtle bgcolor sampled from bull/bear.
A locked Golden Blaze palette: gold bull / oxblood bear / off-white neutral on a dark-slate ground — the classic AQR institutional aesthetic. Strict 3-hue discipline + bg.
Dashboard
Monospaced table positionable to any of nine corners. Surfaces:
Composite score with signed value.
Per-horizon percentile ranks (h1 / h2 / h3 / h4 / h5).
Horizon agreement count (how many horizons agree with the composite sign).
Volatility Z value and adjustment factor in use.
Last signal direction with bars-ago.
Configuration: rank window, vol window, thresholds.
Alerts
Four alert conditions, each independently controllable:
BUY (composite crosses above buy threshold)
SELL (composite crosses below sell threshold)
Extreme Score (|composite| crosses extreme high or low)
Horizon Disagreement (off by default) — fires when horizons split (~half above 50%, half below). Useful as a "no edge" warning.
How to read it
Three reads, in order of conviction:
Extreme score with full horizon agreement — the highest-conviction read. All five horizons agree, the score is in the top 10% / bottom 10% of its own distribution, and vol-adjustment has not damped it. This is the institutional setup.
Buy / Sell with vol-adjustment active in a low-vol regime — the "low-vol momentum" setup AQR's research identifies as the strongest factor exposure. Pair with a directional execution tool.
Horizon disagreement alert — stand-aside signal. Some horizons say bull, some say bear; there is no momentum factor exposure available. Wait for agreement to return.
Suggested settings
Defaults (horizons 1/5/20/60/120, rank window 252, vol window 60, vol Z cap 2.5, ±0.70 thresholds, ±0.90 extreme) are tuned for daily charts on broad indices — the timeframes where momentum factor exposures are statistically most meaningful. For lower timeframes drop all horizons proportionally (1/5/15/30/60) and the rank window to 200. For weekly+ keep defaults; momentum on weekly is the canonical factor.
Originality / what's reused
The momentum factor is published academic finance — Jegadeesh & Titman 1993, Asness 1994, AQR's "Value and Momentum Everywhere" 2013. The 252-bar / one-year ranking window is the classical institutional convention. The implementation here — the five-horizon configurable engine, the ta.percentrank -based ranking pipeline, the linear remap, the volatility-Z adjustment with clamp, the saturation-floored bar-colouring with strict 2-hue discipline, the horizon-disagreement alert logic, and the AQR Golden Blaze palette — is JOAT-original. No third-party code reused. The script is a tribute to AQR's published methodology, not a direct replication of any proprietary AQR model.
Open source
Published open-source under the default Mozilla Public License 2.0. The horizon pipeline, the ranking engine, the vol-adjustment routine, the signal engine, and the dashboard are isolated modules. Forks welcome with credit.
Limitations
The 252-bar ranking window assumes a daily chart for the "trading year" interpretation; on lower timeframes the window represents a different real-world horizon. The momentum factor is well-documented historically but, like all factor exposures, it can underperform for extended periods — the dashboard's horizon-agreement count is the script's own early warning when the factor is breaking down. Vol-adjustment is on by default because it is statistically supported; turn it off only for research.
—
-made with passion by jackofalltrades
อินดิเคเตอร์
Multi-Indicator Confluence Strategy Automator [MarkitTick]💡 A comprehensive, multi-dimensional technical analysis suite engineered to evaluate market conditions through a rigorous synthesis of trend, momentum, volatility, and cross-asset correlation metrics. Designed for traders who require a systematic approach to market entry and risk management, this script aggregates signals from multiple proven indicators and applies advanced statistical filters to minimize false positives. By unifying foundational technical analysis with advanced mathematical concepts like the Hurst exponent and momentum inflation, this tool provides a highly objective, data-driven environment for evaluating market structure and defining structured trade parameters.
✨ Originality and Utility
Standard trading methodologies often rely on isolated indicators, which can lead to high failure rates in dynamic market environments. The originality of this script lies in its robust confluence engine, which demands simultaneous alignment across multiple independent market dimensions before generating a signal.
Instead of merely stacking moving averages, this suite integrates a strict Boolean gating system that evaluates:
A primary directional baseline derived from a Hull Moving Average combined with an Average True Range volatility buffer.
A directional movement and momentum confirmation matrix utilizing the Average Directional Index and Commodity Channel Index.
Dynamic volume filtering to ensure market participation supports the price action.
Advanced statistical gating mechanisms, including confluence decay, regime detection, and cross-asset correlation analysis.
This utility is exceptionally valuable for systematic traders, as it translates complex, multidimensional market data into a highly legible, unified dashboard while automatically projecting risk-adjusted stop-loss and take-profit levels dynamically based on current market volatility.
🔬 Methodology and Concepts
● The Confluence Engine
The core of this strategy revolves around a scoring system that evaluates bullish or bearish alignment. A valid signal requires a minimum confluence score, calculated by assessing the following core components:
• Baseline Trend
The script utilizes a Hull Moving Average to determine the primary market bias. To eliminate noise, a volatility buffer equivalent to a fraction of the Average True Range is applied, ensuring that only definitive breakouts beyond the baseline are considered valid directional shifts.
• Directional Movement (ADX/DMI)
The first confirmation layer relies on the Average Directional Index alongside the Directional Movement Indicators. A trend is only considered active if the ADX exceeds a user-defined threshold, and the relationship between the positive and negative directional indicators defines the bias.
• Momentum Oscillators (CCI)
The second confirmation layer employs the Commodity Channel Index to measure the current price level relative to an average price level over a given period. Bullish or bearish confirmation requires the CCI to pierce specific upper or lower thresholds.
• Volume Validation
A volume filter ensures that signals are backed by significant market interest. The current period's volume must exceed a rolling exponential moving average of historical volume, multiplied by a strict sensitivity factor.
• Advanced Gating Filters
Confluence Decay: A time-based penalty system that degrades the value of a signal if the confluence state persists for too long without triggering an entry, preventing late entries into exhausted trends.
Hurst Regime Detector: Classifies the market as trending or mean-reverting, gating signals that conflict with the overarching statistical regime.
Momentum Inflation Ratio: Normalizes current price velocity against historical volatility to detect and filter out exhaustion spikes.
Cross-Asset Lead-Lag: Computes the Pearson correlation against a secondary asset to confirm macroeconomic or sector-wide alignment before entry.
🎨 Visual Guide
The script employs a highly intuitive visual hierarchy designed to keep the chart clean while providing maximum data density.
● Chart Elements
• Heatmap Candles
The standard price candles are color-coded based on the baseline trend state. Bullish bars are colored a vibrant teal, bearish bars are marked in a distinct red, and neutral states default to a muted slate blue. This visual heuristic allows traders to instantly recognize the dominant market regime without processing raw numerical data.
• Signal Markers
When all confluence conditions and advanced gates are met, the script plots distinct entry markers: small upward-pointing triangles below the bar for long signals, and downward-pointing triangles above the bar for short signals.
• Risk Management Levels
Upon a confirmed signal, the script dynamically draws horizontal lines representing the trade parameters:
Entry Line: A dashed, neutral-colored line projecting the exact trigger price.
Stop Loss (SL): A dashed, red line projected against the trend based on a multiple of the Average True Range.
Take Profit (TP1, TP2, TP3): Three dotted, green lines representing scaled exit targets, dynamically calculated using expanding volatility multiples.
Each line is accompanied by a precise price label anchored to the right side of the chart.
● The Information Dashboard
A comprehensive table is anchored to the top right of the screen. It displays the real-time status of the Baseline, Confirm 1, Confirm 2, Volume, Exit status, and the aggregate Score. Furthermore, it outputs the exact values for ADX, ATR, Decay Age, Hurst Exponent, Momentum Inflation, Baseline Distance-Integral, and Lead-Lag Correlation, using a color-coded text system (Green for bullish/favorable, Red for bearish/unfavorable, Yellow for warnings).
📌 Note : the best way to resolve visual overlap is to navigate to the Object Tree and drag the indicator above the main chart layer, or simply hide the native candles in your chart settings.
📖 How to Use
● Interpreting Signals
Traders should monitor the chart for the appearance of the signal triangles. Because the script utilizes a strict minimum gap requirement between signals, traders will not be overwhelmed by repetitive alerts during a sustained trend.
● Executing Trades
Once a signal appears, the script automatically projects the optimal Entry, Stop Loss, and three Take Profit levels on the chart. Traders can use these exact price labels to populate their exchange order tickets or algorithmic routing software.
● Managing Positions
The built-in Exit Indicator, driven by a faster CCI calculation, will trigger an alert when counter-trend momentum builds, providing an objective reason to manually close or trail stops on an active position before the hard stop loss is hit.
● Dashboard Monitoring
Use the dashboard table to gauge the overall health of the trend. If the Confluence Score drops or the Confluence Decay percentage reaches high levels, it is highly advisable to tighten stops on existing positions, as the mathematical probability of trend continuation has diminished.
⚙️ Inputs and Settings
● Core Indicator Tuning
Baseline HMA Length: Adjusts the sensitivity of the primary trend filter.
ADX/DMI Length & Threshold: Defines how strong a trend must be to pass the first confirmation gate.
CCI Length & Threshold: Sets the momentum required for the second confirmation gate.
Volume RMA Length & Multiplier: Configures the strictness of the volume participation filter.
● Risk Parameters
ATR Length: The lookback period for volatility measurement.
SL ATR Mult: The multiplier applied to the ATR to define the stop-loss distance.
TP1, TP2, TP3 ATR Mult: The multipliers defining the three scale-out profit targets.
● Advanced Filter Settings
Confluence Decay: Toggles the time penalty system and defines the maximum bars before full decay.
Hurst Regime Detector: Toggles regime filtering and sets the threshold for trending vs. mean-reverting environments.
Momentum Inflation Ratio: Toggles velocity normalization and sets the threshold ratio for exhaustion alerts.
Cross-Asset Lead-Lag: Defines the correlation ticker, correlation lookback window, and minimum Pearson threshold.
🔍 Deconstruction of the Underlying Scientific and Academic Framework
● Rescaled Range Analysis and the Hurst Exponent
This script integrates a specialized implementation of the Hurst Exponent, a statistical measure originally developed in hydrology, to classify financial time series data. It calculates the cumulative deviation of the asset's price from its Simple Moving Average over a defined rolling window. By identifying the maximum and minimum cumulative deviations, the script establishes the range, which is then normalized against the standard deviation of the price series to compute the rescaled range ratio. The final Hurst value is derived logarithmically. A value significantly greater than 0.5 mathematically confirms a persistent, trending regime, while a value below 0.5 indicates an anti-persistent, mean-reverting environment.
● Momentum Inflation via Volatility Normalization
The script tackles the academic problem of momentum illusion, where sheer point movement is mistaken for structural momentum, by normalizing absolute price speed against the Average True Range. It then compares this normalized current velocity against a rolling historical average of normalized velocity. If the resulting ratio exceeds the user-defined threshold, the script identifies the movement as mathematically over-extended, gating further entries to prevent buying the top or selling the bottom of a volatility spike.
● Cross-Asset Correlation Dynamics
To account for macroeconomic interconnectedness, the script employs a rolling Pearson correlation coefficient between the primary asset and a defined leading indicator. By analyzing the covariance of the two assets relative to the product of their standard deviations over a specific window, it mathematically verifies if the broader sector or macroeconomic environment supports the localized signal.
● Distance-Integral Calculations
The Baseline Distance-Integral utilizes a rolling mathematical sum of the spatial delta between the closing price and the moving average. This integral provides a quantifiable area-under-the-curve measurement, offering deeper insight into the cumulative kinetic energy of a trend rather than relying solely on point-in-time cross signals.
⚠️ Disclaimer
All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. We expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion. อินดิเคเตอร์
Elliott Wave Scanner [MarkitTick]💡 An automated structural analysis tool engineered to detect, classify, and visualize complex market cycles based on classic wave progression principles. By scanning localized price extrema and passing them through a rigorous matrix of geometric and proportion-based filters, this indicator distills highly subjective chart analysis into objective, rule-based pattern recognition. Designed for traders who rely on structured market phases, the scanner not only maps five-wave impulses and three-wave corrections but also integrates dynamic risk-to-reward calculations, volume confirmation, and higher-timeframe alignment to evaluate the probabilistic quality of every structural sequence it identifies.
✨ Originality and Utility
Wave theory is traditionally plagued by subjectivity and observer bias, where two analysts might map entirely different structures on the same chart. The utility of this script lies in its strict, algorithmic standardization. It removes emotional interpretation by requiring market swings to conform to precise mathematical tolerances before a sequence is validated.
This tool distinguishes itself by moving beyond mere drawing utilities. It is a complete analytical environment that actively assesses the viability of a market structure. It calculates a predefined Risk-to-Reward (R:R) ratio, establishes a clear target, and sets a protective invalidation level for every valid formation. Furthermore, it incorporates confluence filters—such as market structure midlines and higher-timeframe directional bias—ensuring that localized patterns are only presented when they align with the broader macroeconomic flow. This multifaceted approach provides a systematic, highly actionable framework rather than a simple visual overlay.
🔬 Methodology and Concepts
The core engine of this scanner is built upon the identification of sequential market pivots and the subsequent validation of their relationships through Fibonacci retracement and extension parameters.
• Algorithmic Pivot Detection
The script continuously monitors price action to identify localized peaks and troughs, referred to as Pivot Highs and Pivot Lows. A pivot is mathematically confirmed only when a central price point is surrounded by a user-defined number of lower highs (or higher lows) on both its left and right sides. This ensures that only significant market turning points are evaluated, filtering out intraday noise.
• Impulse Validation (1-2-3-4-5)
To confirm a five-wave impulse, the script isolates an alternating sequence of six confirmed pivots and applies strict proportional rules:
Wave 2 must retrace between 38.2% and 78.6% of Wave 1.
Wave 3 must extend beyond the terminus of Wave 1 and mathematically cannot be the shortest wave in the 1-3-5 sequence.
Wave 4 must retrace between 23.6% and 50.0% of Wave 3.
The script enforces an optional but standard rule where the extreme of Wave 4 must not overlap the extreme of Wave 1.
• Correction Validation (A-B-C)
For three-wave corrective structures, the engine isolates a sequence of four alternating pivots:
Wave B is required to retrace between 38.2% and 78.6% of the initial Wave A sequence.
Wave C must form a proportional extension of Wave A, operating strictly between the 61.8% and 161.8% boundaries.
• Structural Confirmation and PRZ
Once geometric rules are satisfied, the script calculates a Potential Reversal Zone (PRZ). For an impulse, the PRZ represents the logical termination area for Wave 5, derived by projecting 100% to 161.8% of Wave 1's magnitude outward from the origin of Wave 5. The entire sequence is then subjected to a Risk:Reward calculation, validating the pattern only if the theoretical trade setup meets the required profitability threshold.
🎨 Visual Guide
The indicator is designed to provide maximum data density without cluttering the charting environment.
• Structural Pathing
Valid Impulse waves are rendered using robust, continuous lines connecting the validated pivots, clearly demarcating the 1-2-3-4-5 progression. Corrective A-B-C structures are rendered in a distinctly contrasting color, providing immediate visual differentiation between trending and counter-trend market phases.
• Fibonacci Anchor Lines
Dotted horizontal projection lines extend outward from the Wave 4 terminus, visually indicating the 1.0x, 1.618x, and 2.618x Fibonacci extensions of Wave 1. These serve as dynamic targets for Wave 5 completion.
• Potential Reversal Zone (PRZ)
A shaded, transparent box is drawn at the culmination of the pattern. This box highlights the specific price region where harmonic and Fibonacci projections converge, signifying the highest probability area for the pattern's completion and subsequent market reversal.
• Trade Parameters
Upon pattern completion, three distinct dashed lines are projected forward on the chart:
An Entry line, anchored at the final wave's closing extreme.
A Stop line, calculated dynamically using an Average True Range (ATR) buffer applied to the penultimate structural pivot.
A Target line, mathematically derived from a 61.8% proportional measurement of the dominant impulsive wave.
• The Analytical Dashboard
A comprehensive data table anchors to the top right of the screen. This dashboard tracks real-time system metrics, including the prevailing market bias, the active pattern type, exact price levels for the generated trade parameters, and a dynamic Risk:Reward quality score visualized via an integrated block-bar system. It also tracks historical pattern frequency and individual wave magnitudes.
📖 How to Use
This script is engineered to act as an objective entry generation tool based on wave completion.
• Trading the Impulse W5
When the scanner identifies a validated 1-2-3-4 progression and projects the final Wave 5 into the PRZ box, traders should monitor price action within this shaded region. A rejection or stabilization within the PRZ, accompanied by the printing of the Entry, Stop, and Target dashed lines, signals a valid execution window. The structural stop-loss ensures that if the wave count is invalidated by overlapping previous structure, risk is immediately contained.
• Trading the A-B-C Correction
Corrective sequences are utilized to position into the resumption of the primary trend. When an A-B-C sequence completes, indicating that the counter-trend exhaustion has been reached, the system will output actionable levels targeting the previous macro swing high or low. Traders can utilize the volume confirmation toggle to ensure that the reversal away from the Wave C terminus is supported by institutional participation.
• Managing Pivot Delay
Because the indicator relies on confirmed pivots (requiring a set number of bars to close on the right side of the extreme), signals are generated only after the structural turning point is mathematically locked. Traders should view the generated Entry line as the execution threshold, waiting for price to retest or confidently cross this parameter rather than attempting to guess the absolute bottom or top of the raw price action.
⚙️ Inputs and Settings
The indicator offers deep modularity, allowing adaptation across different asset classes and timeframes.
• Pivot Configurations
Adjusting the Pivot Left and Pivot Right parameters alters the sensitivity of the extrema detection. Lower values yield aggressive, micro-wave tracking suitable for scalping, while higher values isolate macro-economic market cycles.
• Elliott Rules and Tolerances
The Fib Tolerance (%) input allows the user to expand or contract the leniency of the retracement measurements. The system also includes logical toggles to enforce strict structural laws, such as ensuring Wave 4 never overlaps Wave 1, or that Wave 3 must explicitly extend beyond Wave 1.
• Filter Systems
Traders can enforce a Higher Timeframe (HTF) Bias , ensuring the script only plots bullish waves when the macro trend is positive. A Volume Confirmation toggle is also available, suppressing signals if the momentum behind Wave 3 fails to breach the baseline volume moving average.
• Visual and Dashboard Toggles
Every graphical element, from the PRZ shading to the individual wave labels, can be toggled on or off to maintain chart hygiene. The dashboard can also be customized with specific text and background colors to fit any chart template.
🔍 Deconstruction of the Underlying Scientific and Academic Framework
The foundational framework of this indicator is deeply rooted in fractal geometry and the statistical behavior of financial time series. Markets, much like natural phenomena, exhibit self-similarity across different scales—a concept heavily explored in the mathematics of fractional Brownian motion. This indicator applies this academic premise by assuming that macroeconomic trending phases (impulses) and mean-reverting phases (corrections) manifest in predictable, repeating geometric sequences, regardless of the timeframe observed.
At the core of the algorithm is the algorithmic isolation of local extrema. By utilizing a rolling array of historical price highs and lows, the engine establishes a localized topology of the market. This topology is then subjected to proportional analysis governed by the Fibonacci sequence, a mathematical series intimately connected to the golden ratio (1.618). In financial econometrics, these specific ratios function as a psychological boundary mechanism; because market participants aggregate their risk and take-profit parameters around these proportional extensions, they generate measurable zones of supply and demand clustering.
The script synthesizes these disciplines by requiring that the distance between consecutive topological extrema strictly conforms to these irrational proportions. By enforcing a rule set where localized wave measurements must divide into one another to produce specific golden ratio derivatives, the indicator successfully models the non-linear, oscillatory nature of crowd psychology and market liquidity into a rigid, computable output.
⚠️ Disclaimer
All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. We expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion. อินดิเคเตอร์
Market Microstructure Pulse [JOAT]MARKET MICROSTRUCTURE PULSE
A composite microstructure oscillator that fuses three lower-timeframe-reconstructed flow primitives into a single bounded pulse line — the tick imbalance, the aggressive ask/bid streak, and the single-bar massive imbalance event. The pulse tells you in one number whether buyers or sellers are currently dominant at the tape level, and whether that dominance is at warning or extreme intensity.
Lower-timeframe reconstruction
Real microstructure lives below the chart timeframe. The pulse engine pulls intrabar prints from a configurable LTF (default 1 minute; auto-mode picks ~1/20 of the chart TF) and classifies each tick via the standard tick rule. The classified ticks are then EMA-smoothed by a configurable pulse length (default 14) and optionally volume-weighted (default ON) so a heavy print contributes proportionally more to the read than a light one.
The output is a smoothed signed value bounded approximately in where:
+1 — all recent ticks were buy-classified.
−1 — all recent ticks were sell-classified.
0 — perfectly balanced flow.
Aggressive streak histograms
Two separate counters track consecutive same-side ticks — one for aggressive asks, one for aggressive bids. When a streak exceeds the Aggressive Streak Min threshold (default 5), it qualifies as institutional persistence. The two histograms are rendered as a colour-coded background to the pulse line so you can see at a glance which side has been running consecutively. EMA-smoothed for visual stability.
Massive imbalance event
A single-bar event: when one side's share of total bar volume exceeds imbalancePct (default 80%), a Massive Imbalance event fires. This is the script's strongest single-bar read — institutional decisiveness landing on the tape.
Two-tier threshold system
Pulse Warning — |pulse| above the warning threshold (default 0.50). Inner band, visual reference.
Pulse Extreme — |pulse| above the extreme threshold (default 0.70). Triggers the Pulse Extreme alert and tints the chart background.
A toggleable Aggression Flip Marker prints a glyph at the bar where the pulse sign actually flips — useful for catching the moment dominance rotates sides.
Visual system
Pulse line in the iridescent palette (magenta buy / cyan sell) with configurable width.
Aggressive streak histograms — two-sided coloured columns behind the pulse (transparency configurable).
Threshold levels at ±warning and ±extreme (toggleable).
Gradient fill from pulse line to zero, coloured by current sign (transparency configurable).
Background tint on extreme — magenta or cyan tint when |pulse| is above extreme threshold (transparency configurable).
Aggression flip markers at sign-change bars (toggleable).
A locked Iridescent palette (magenta buy aggression / cyan sell aggression / yellow extreme accent on pure black) gives the pane a distinctive cyberpunk-tape identity.
Dashboard
Monospaced 11-row table positionable to any of nine corners. Surfaces:
Current pulse value with sign.
Buy streak count and sell streak count.
Aggressive side dominance with bar age.
Last extreme event direction with bars-ago.
Last flip direction with bars-ago.
Last massive imbalance event with bars-ago.
LTF in use, volume-weighting flag, pulse EMA length.
Threshold values for warning and extreme.
Alerts
Three alert conditions, each independently controllable:
Pulse Extreme — fires when |pulse| crosses above extreme threshold.
Aggression Flip — fires when pulse sign flips (positive ↔ negative).
Massive Imbalance — fires when a single bar's directional share exceeds the imbalance threshold.
How to read it
Three reads, in order of conviction:
Massive Imbalance alert at a structural level — the highest-conviction single read. Institutional decisiveness landed on the tape at a known S/R; the next directional move is more conviction-aligned with the imbalance side.
Pulse Extreme + matching aggressive streak — sustained dominance. The pulse is decisively past its extreme threshold AND the streak histograms show consecutive same-side runs above the streak minimum. This is the regime where momentum tools have their largest edge.
Aggression Flip after extreme — exhaustion read. The pulse hit extreme then flipped sign; the institutional commitment that drove the extreme has just rotated. Often produces clean reversals.
Suggested settings
Defaults (1m LTF, pulse EMA 14, streak EMA 7, volume-weighted ON, ±0.50 / ±0.70 thresholds, 80% imbalance, 5-tick streak min) are tuned for 5m–15m charts on liquid futures and crypto. For lower-timeframe scalping, drop LTF to 15s or 30s (Premium plan required) and pulse EMA to 8. For HTF, set LTF auto-mode and raise streak min to 10. The volume-weighting is the recommended default — without it, equal-tick instruments dominate the read regardless of size.
Originality
The implementation — the LTF tick-rule reconstruction with optional volume weighting, the bounded pulse formulation, the dual aggressive-streak histograms with EMA smoothing, the two-tier (warning / extreme) threshold system, the single-bar massive-imbalance detector, the aggression-flip marker logic, the chart-overlay extreme tinting, and the iridescent dual-hue palette — is JOAT-original. No third-party code reused. The pulse is the original composite formulation.
Limitations
Reconstructed tick direction is an inference — the tick rule is the accepted public-market proxy but it is not a direct read of bid/ask volume. Sub-minute LTFs require a TradingView Premium or Ultimate plan. The pulse is bounded approximately in but extreme volume-weighted reads can briefly exceed those bounds; this is intentional and not a bug. EMA smoothing introduces a small lag; turn pulse length to 1 to see the raw imbalance.
—
-made with passion by jackofalltrades
อินดิเคเตอร์
Buy-Sell with Liquidity Breakout PRO using Volume Confluence# Liquidity Breakout PRO with Volume Confirmation — Swing Edition
A professional major swing breakout indicator designed to identify important liquidity breakout and breakdown zones using confirmed swing highs, confirmed swing lows, volume confluence, smart stop-loss modes, Fibonacci-based targets, and historical risk-reward boxes.
This indicator is built for traders who want cleaner breakout signals, structured trade planning, and visual performance review directly on the chart.
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## What This Indicator Does
Liquidity Breakout PRO helps identify major breakout and breakdown opportunities after price crosses an important confirmed swing level.
Instead of reacting to every small move, this indicator focuses on major swing highs and swing lows. These levels often act as liquidity zones where stop orders, breakout traders, and institutional activity may become visible.
When price closes above a confirmed major swing high, the indicator marks a bullish breakout setup.
When price closes below a confirmed major swing low, the indicator marks a bearish breakdown setup.
Each confirmed signal comes with:
✅Entry level
✅Stop-loss level
✅Fibonacci-based target levels
✅Risk zone
✅Reward zone
✅Historical risk-reward box
✅Volume confirmation
✅Dashboard panel
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## Core Concept
Markets often move from one liquidity zone to another.
A major swing high usually represents an area where sellers previously defended price. When price closes above that area with volume confirmation, it may suggest breakout strength.
A major swing low usually represents an area where buyers previously defended price. When price closes below that area with volume confirmation, it may suggest breakdown weakness.
This indicator is designed around that simple idea:
✅Identify major liquidity level
✅Wait for confirmed close beyond that level
✅Check volume confluence
✅Plot entry, stop loss, and Fibonacci targets
✅Keep the setup on chart for future performance review
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## Key Features
📊 1. Major Swing Detection
The indicator uses confirmed pivot highs and pivot lows to identify important swing levels.
These are not random support and resistance lines. They are confirmed swing points based on user-defined left and right pivot strength.
This helps reduce noise and focuses only on important market structure level s.
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📊 2. Non-Repainting Logic
Signals are generated only after candle close.
The indicator uses confirmed pivot levels and candle-close breakout confirmation. This means signals are not designed to appear and disappear during live candle movement.
Important note: pivot-based swing levels naturally confirm after the selected right-side candles are completed. This delay helps improve swing reliability and reduces false signals.
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📊 3. Volume Confluence
Breakout signals become stronger when supported by volume.
The indicator includes a volume filter that checks whether current volume is greater than the average volume multiplied by the selected volume multiplier.
This helps avoid weak breakout attempts where price crosses a level without strong participation.
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📊 4. ATR Breakout Buffer
Many breakouts fail because price barely crosses a level and then quickly reverses.
To reduce such weak signals, the indicator includes an optional ATR-based breakout buffer.
This means price must close beyond the swing level with a minimum volatility-adjusted distance before a signal is generated.
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📊 5. Multiple Stop-Loss Modes
Different traders use different stop-loss styles, so this indicator provides multiple SL calculation modes.
Available stop-loss modes:
✅Previous Candle
✅ATR
✅Major Swing Level
✅Breakout Candle
✅Previous Candle + ATR Buffer
This gives flexibility for intraday traders, swing traders, and positional traders.
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## Stop-Loss Modes Explained
📊 Previous Candle
For a buy breakout, stop loss is placed below the previous candle low.
For a sell breakdown, stop loss is placed above the previous candle high.
This is useful for traders who prefer tighter and structure-based stop losses.
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📊 ATR
For a buy breakout, stop loss is calculated below entry using ATR.
For a sell breakdown, stop loss is calculated above entry using ATR.
This is useful for traders who want volatility-adjusted stop losses.
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📊Major Swing Level
For a buy breakout, stop loss is placed near the last confirmed major swing low.
For a sell breakdown, stop loss is placed near the last confirmed major swing high.
This is useful for traders who prefer wider structure-based stops.
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📊 Breakout Candle
For a buy breakout, stop loss is placed below the breakout candle low.
For a sell breakdown, stop loss is placed above the breakout candle high.
This is useful when traders want the breakout candle itself to define risk.
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📊 Previous Candle + ATR Buffer
This mode uses the previous candle high or low with an added ATR cushion.
For a buy breakout, stop loss is placed below the previous candle low with ATR buffer.
For a sell breakdown, stop loss is placed above the previous candle high with ATR buffer.
This is a balanced stop-loss method because it gives slightly more breathing room than a pure previous candle stop.
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##Separate Fibonacci Target Calculation
One important feature of this indicator is that Fibonacci targets are calculated separately from stop loss.
This means if stop loss becomes wider, targets do not automatically become wider.
Targets are based on a separate target range calculation, not on risk distance.
This avoids unrealistic target expansion when using wide stop-loss methods.
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## Fibonacci Target Base Options
The indicator provides different target base modes:
✅Major Swing Range
✅Breakout Candle Range
✅ATR Range
📊Major Swing Range
Targets are calculated using the range between the latest major swing high and major swing low.
This is suitable for swing trading and higher timeframes.
📊Breakout Candle Range
Targets are calculated using the breakout candle range.
This is useful for intraday traders who want more practical and closer targets.
📊 ATR Range
Targets are calculated using ATR.
This gives volatility-adjusted target levels.
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## Risk-Reward Boxes
Every confirmed signal plots a visual risk-reward structure on the chart.
✅The red box shows the risk zone.
✅The green box shows the reward zone.
✅Fibonacci target zones are displayed visually so traders can instantly understand where TP1, TP2, and TP3 are placed.
Historical boxes can remain on the chart, allowing traders to review past signal performance visually. Those who dont want any noise on the chart can opt out from historical boxes in the Settings menu.
This helps users observe:
✅Which signals reached target
✅Which signals hit stop loss
✅How price reacted after breakout
✅How often TP1, TP2, or TP3 was reached
✅Whether breakout continuation was strong or weak
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## Visual Features
This indicator includes multiple visual enhancements:
✅Premium color themes
✅Risk-reward box styles
✅Layered Fibonacci target zones
✅Signal candle highlight
✅Breakout background flash
✅Signal glow effect
✅Custom line styles
✅Dashboard panel
✅Historical setup plotting
These features are designed to make the chart more readable, more professional, and easier to analyze.
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## Best Default Settings
For a balanced setup:
Pivot Left Strength: 20
Pivot Right Strength: 20
ATR Breakout Buffer: ON
ATR Buffer Multiplier: 0.15
Volume Confluence: ON
Volume Multiplier: 1.3
Stop Loss Mode: Previous Candle + ATR Buffer
SL Buffer ATR Multiplier: 0.20
Fibonacci Target Base: Major Swing Range
Targets: 1.0 / 1.618 / 2.618
Keep Previous Target/SL Boxes: ON
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## Suggested Intraday Settings
For 15-minute or lower timeframes:
Pivot Left Strength: 10
Pivot Right Strength: 10
ATR Breakout Buffer: 0.10
Volume Multiplier: 1.2
Stop Loss Mode: Previous Candle or Previous Candle + ATR Buffer
Fibonacci Target Base: Breakout Candle Range
Risk-Reward Box Extension: 20–25 bars
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## Suggested Swing Trading Settings
For 1H, 4H, or daily charts:
Pivot Left Strength: 20–30
Pivot Right Strength: 20–30
ATR Breakout Buffer: 0.15–0.30
Volume Multiplier: 1.3–1.5
Stop Loss Mode: Previous Candle + ATR Buffer or Major Swing Level
Fibonacci Target Base: Major Swing Range
Risk-Reward Box Extension: 25–40 bars
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## How To Use
1. Wait for a major swing high or swing low to form.
2. Let price break and close beyond the swing level.
3. Check whether the signal is volume confirmed.
4. Observe the plotted entry, stop loss, and Fibonacci targets.
5. Use the risk-reward box to understand the trade structure.
6. Avoid taking signals directly into strong nearby support or resistance.
7. Use higher timeframe trend direction for stronger confirmation.
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## Bullish Signal
A bullish breakout signal appears when price closes above a confirmed major swing high with required confluence.
This suggests that buyers may be taking control above a previous liquidity zone.
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## Bearish Signal
A bearish breakdown signal appears when price closes below a confirmed major swing low with required confluence.
This suggests that sellers may be taking control below a previous liquidity zone.
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## Best Use Cases
📊Breakout trading
📊Liquidity breakout analysis
📊Market structure trading
📊Swing high and swing low breakout setups
📊Intraday breakout confirmation
📊Multi-timeframe analysis
📊Risk-reward planning
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⚠️ Important Notes
⚠️ No indicator can predict the market with certainty.
⚠️ This tool is designed to help with structure, confirmation, and visual trade planning.
⚠️ Always combine signals with market context, higher timeframe direction, support and resistance, risk management, and your own trading plan.
⚠️ Avoid using any breakout signal blindly. This indicator itself suggests that using Stoploss is more important than Targets. Always use stoploss to protect the capital.
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Trading Rules & Best Practices
✅ When to Use This Indicator
Trend-Following Setups: Use on trending charts where swing levels have clear structure
Breakout Trading: Ideal for breakout traders targeting support/resistance breaks
Range Identification: Works well when price oscillates between major highs/lows
Multi-Timeframe Analysis: Use higher timeframes (4H, 1D) to identify major swings for entry on lower timeframes
⚠️ When NOT to Use
Choppy/Ranging Markets: In sideways markets, many false breakouts may occur
Low Liquidity Assets: Volume filter may never trigger; consider disabling it
Highly Volatile Instruments: Increase ATR buffer multiplier to reduce noise
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## Risk Disclaimer
This indicator is for educational and analytical purposes only. It does not provide financial advice, investment advice, or guaranteed trading signals.
Trading and investing involve risk. Always use proper risk management and do your own analysis before taking any trade.
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Test it on different timeframes and comment which SL mode works best for your trading style.
Feedback and improvement suggestions are welcome. อินดิเคเตอร์
