Reaction Path [BullByte]Reaction Path is a price-action, pressure, volatility, and trade-geometry indicator designed to organize two different market behaviours into one integrated framework:
1. Reaction: price has displaced away from its current Fair Price area and the recent candle behaviour shows conditions consistent with a possible response back toward the opposing side.
2. Continuation: price is positioned beyond the Fair Price area while pressure is migrating in the same direction, recent movement is efficient enough to qualify as directional, and the current bar shows sufficient expansion and participation.
The purpose of Reaction Path is not to predict the future or guarantee a reversal or continuation. It is designed to help traders distinguish between changing pressure, developing movement, established directional travel, exhaustion, and neutral conditions.
The indicator combines several complementary measurements rather than relying on a conventional overbought/oversold oscillator.
The main components are:
A wick-weighted Fair Price calculation.
An adaptive Reaction Band around Fair Price.
A Pressure Centre based on where price closes within its recent ranges.
Pressure Migration to measure how that pressure balance is changing.
Market-state classification including EXHAUSTION , SHIFT , BUILDING , TRAVEL , MOVING UP , MOVING DOWN , and NEUTRAL .
Reaction and Continuation signal qualification.
Trend Efficiency as a directional regime filter for continuation conditions.
Candle-character analysis using body efficiency, wick relationships, range speed, directional dominance, depth, and volume behaviour.
Spike and immediate post- spike filtering .
Adaptive Failure Memory that becomes more selective after setup invalidations.
ATR-based Path Level 1, Path Level 2, and invalidation geometry.
A Projected Path corridor for visualizing the current route from entry toward Path Level 2.
A compact dashboard showing market state, path direction, Fair Price location, and active setup levels.
Historical setup visualization for reviewing completed setups.
Bar-close alert events for new signals, target completion, and invalidation.
Reaction Path is intended as an analytical framework. The signals and plotted levels are references for decision-making and should be evaluated together with the actual market context, instrument behaviour, liquidity, execution conditions, and the trader's own risk process.
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ORIGINALITY - WHY THIS IS NOT A MASHUP
Reaction Path is built as a single integrated behavioural engine rather than a collection of unrelated indicators placed together.
The individual measurements are not displayed as independent conventional indicators which are combined with arbitrary voting rules.
Instead, the engine builds a connected chain:
Fair Price
Price displacement from Fair Price
Pressure Centre
Pressure Migration
Market state
Candle character
Trend efficiency
Signal qualification
Trade geometry
Setup lifecycle
Failure Memory
Each stage contributes information to the stages that follow it.
Fair Price establishes the current reference area.
Pressure Centre measures where recent closes are occurring within their candle ranges.
Migration measures whether that pressure balance is moving.
Market-state logic classifies the behaviour of that migration.
Reaction and Continuation conditions then use several independent characteristics of price behaviour before a setup is created.
Failure Memory adds another layer by recording the characteristics surrounding an invalidated setup and making subsequent qualification more selective when sufficiently similar conditions reappear.
This structure is what makes the indicator an integrated system rather than a simple mashup of unrelated calculations.
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PURPOSE OF THE INDICATOR
Markets do not move in only one way.
Sometimes price stretches away from its current area of accepted value and begins to show rejection.
Sometimes price moves away from that area and continues because pressure remains aligned with the direction of travel.
Sometimes a large candle creates apparent momentum but is primarily wick and produces little decisive progress.
Sometimes pressure begins changing before a visible directional move becomes established.
Reaction Path is designed to separate these situations.
The central question is not simply:
"Is price going up or down?"
Instead, the framework asks:
Where is price relative to its current Fair Price area?
Is recent closing pressure migrating?
Is that migration strengthening, weakening, shifting, or reaching an extreme?
Is the recent movement efficient or highly rotational?
Is the current bar expanding relative to recent activity?
Are wicks and candle bodies supporting the intended behaviour?
Is volume informative on the current symbol?
Has a similar setup recently failed?
Has the current setup reached Path Level 1, Path Level 2, or its invalidation reference?
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WHY THESE SPECIFIC MECHANICS
FAIR PRICE
Fair Price is calculated from a custom typical-price measure:
(high + low + 2 x close) / 4
The calculation is weighted according to candle body efficiency.
Candles with a smaller body relative to their total range receive greater weight. This gives more influence to candles that spent more of their range away from their decisive body.
The result is a rolling reference value intended to represent the recent area around which price has been behaving.
An adaptive deviation value is calculated from the same weighted observations.
Together they create:
Fair Price
Fair Price Upper
Fair Price Lower
This gives the indicator a dynamic reference zone rather than relying on a fixed percentage distance.
REACTION BAND
The Reaction Band visualizes the Fair Price area as three nested bands.
The inner and outer areas represent progressively wider deviations around the current Fair Price.
The band therefore provides context for whether price is:
Inside the current fair area.
Moving toward an edge.
Beyond the upper region.
Beyond the lower region.
The band color also reflects the current pressure/state classification.
PRESSURE CENTRE
The Pressure Centre does not ask whether a candle is simply green or red.
Instead, it examines where the close occurred inside the candle's own high-low range.
A close near the high represents stronger upward closing pressure for that candle.
A close near the low represents stronger downward closing pressure.
The measurement is averaged over a rolling window and weighted using the same candle-character concept used by Fair Price.
This produces a smoother representation of recent closing-pressure behaviour.
PRESSURE MIGRATION
Pressure Migration measures how much the Pressure Centre has changed between two points in time.
A positive migration indicates that the recent closing-pressure balance has shifted upward.
A negative migration indicates that it has shifted downward.
The engine then evaluates the magnitude and context of this migration instead of treating every zero crossing as a signal.
This is important because very small changes around an inflection point can alternate direction without representing meaningful behavioural change.
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MARKET STATES
REACTION PATH classifies the current market into several behavioural states.
EXHAUSTION
Pressure has reached an extreme zone.
This does not automatically mean that price must reverse.
It means the Pressure Centre has reached one of the defined extreme regions used by the engine.
SHIFT
A meaningful migration transition has occurred across the configured stall threshold.
The purpose is to identify a stronger change in pressure rather than reacting to a minor zero-line fluctuation.
BUILDING
Pressure is moving in the upward direction and is approaching or has reached the internal building region.
MOVING UP
Upward pressure migration has become sufficiently strong to qualify as upward movement outside the building state.
MOVING DOWN
Downward pressure migration has become sufficiently strong to qualify as downward movement.
TRAVEL
Directional continuation conditions are active while price is positioned on the corresponding side of Fair Price.
NEUTRAL
None of the above behavioural classifications currently has priority.
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WHAT MAKES A REACTION SIGNAL
A Reaction signal is not generated simply because price is above or below Fair Price.
For a long Reaction setup, the engine looks for a combination of conditions including:
Price displacement sufficiently below Fair Price.
Recent directional efficiency supporting the intended reaction.
Sufficient directional dominance.
A stronger lower-wick response than the opposing wick.
Adequate recent range speed.
Sufficient volume participation when volume is informative.
Sufficient recent depth below Fair Price.
Absence of a qualifying spike or immediate post-spike retracement condition.
The short Reaction condition is the mirrored structure.
The important concept is that displacement alone is not enough.
The engine looks for displacement together with evidence that recent candle behaviour is producing a meaningful response.
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WHAT MAKES A CONTINUATION SIGNAL
Continuation setups use a different logic.
A long Continuation setup requires price to be positioned above the Fair Price region together with:
A qualifying expansion bar.
Limited opposing wick behaviour.
Sufficient candle efficiency.
Adequate range speed.
Sufficient volume participation when volume is informative.
Positive trend direction.
Adequate trend efficiency.
A normal bar rather than a qualifying spike condition.
Short Continuation setups use the corresponding bearish structure.
Two consecutive closes outside the Fair Price band are recognized as acceptance by the state engine. A Continuation signal itself does not universally require two consecutive closes; the current bar can qualify when the other continuation conditions are satisfied.
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EXPANSION LOGIC
A continuation setup requires more than simply producing the largest candle of a recent window.
The current range must satisfy both:
1. It must be at least as large as the previous recent maximum range.
2. It must also exceed an ATR-based expansion floor.
This prevents a relatively large candle inside a very quiet environment from being treated as meaningful expansion solely because it happens to be the largest recent candle.
ATR is therefore used as a volatility scale and also as part of the expansion qualification.ATR is not used as a standalone directional signal.
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CANDLE CHARACTER AND QUALITY FILTERS
Reaction Path evaluates several aspects of recent candle behaviour.
BODY EFFICIENCY
Measures the body relative to the full candle range.
Higher efficiency means more of the candle's movement occurred through the body rather than through wicks.
WICK BALANCE
Compares upper and lower wick behaviour to determine whether the candle is showing rejection characteristics or cleaner directional movement.
RANGE SPEED
Compares the current range with recent average range behaviour.
VOLUME RATIO
Compares current volume with its recent baseline when the symbol provides meaningful volume information.
On symbols where volume is flat, missing, or otherwise uninformative, the engine avoids pretending that volume provides meaningful confirmation and uses a neutral treatment instead.
DEPTH
Measures how far recent price movement has extended beyond the Fair Price reference.
DIRECTIONAL DOMINANCE
Measures how much of the recent short window has been directionally aligned with the candidate setup.These dimensions are evaluated together rather than allowing one measurement to create a setup by itself.
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SPIKE FILTER
Large candles are not automatically treated as strong momentum.
Reaction Path identifies oversized, low-efficiency bars where a substantial portion of the range is wick rather than decisive body movement.
Signal generation is withheld during such qualifying spike conditions.
The engine also checks the bar immediately following a qualifying spike. If that next bar is simply retracing inside the previous spike's range, it is also treated as a lower-quality setup environment.
The goal is to avoid treating every unusually large candle as meaningful directional expansion.
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FAILURE MEMORY
Reaction Path includes an adaptive Failure Memory system.
When an active setup reaches its invalidation boundary before reaching Path Level 2, the engine records characteristics of the failed environment, including elements such as:
Direction.
Signal family.
Displacement.
Pressure Migration.
Directional efficiency.
Speed.
Depth.
Volume behaviour.
Pressure state.
Range relative to ATR.
The system then uses two related forms of adaptation.
GLOBAL FAILURE TIGHTENING
After consecutive invalidations, the qualification requirements become progressively more selective, with the escalation capped by the internal maximum failure count.
This means repeated failed conditions do not simply produce an unlimited stream of identical setups.
SIMILARITY-BASED MEMORY
The current environment can also be compared with the recorded failed environment.
A sufficiently similar setup can be blocked when it belongs to the same relevant signal family and direction.
A failed Reaction therefore weighs most strongly against a highly similar subsequent Reaction attempt, while the global failure tightening can still affect other qualifying setups.
Failure Memory uses two independent lifecycles. The direction and similarity block can clear when the market behaviour resets or the memory window expires, allowing a genuinely changed market environment to qualify again. The consecutive-failure count follows a separate lifecycle and is cleared when Path Level 2 is reached or when its own time-based expiry occurs. This allows the system to remember a losing sequence without permanently blocking a direction.
This is a behavioural filter, not a guarantee that future similar setups will fail.
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SETUP SENSITIVITY
The Setup Sensitivity input provides a single control for the overall selectivity of the engine.
Adjusts the overall qualification balance. Lower values tighten distance and expansion requirements while relaxing several quality thresholds; higher values do the opposite. Use this control to adapt overall setup selectivity.
The thresholds are coupled rather than exposing every individual internal gate.
This is intentional.
Changing one isolated component independently could create an internal imbalance between distance, efficiency, speed, depth, volume, expansion, and trend requirements.The sensitivity control therefore moves these requirements together.
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TRADE GEOMETRY
When a setup is created, Reaction Path establishes four primary reference levels:
ENTRY
The setup's entry reference is the signal-bar closing price.
PATH LEVEL 1
Path Level 1 is calculated from the setup entry using the configured ATR distance.
PATH LEVEL 2
Path Level 2 is the primary larger projected objective used by the setup geometry and is also calculated from the setup entry using ATR.
INVALIDATION
For Reaction setups, the invalidation boundary is derived beyond the relevant reaction extreme using the configured ATR distance.
For Continuation setups, the invalidation reference is the Fair Price value captured when the setup is created.
These are analytical reference levels.
They do not guarantee execution, fill price, stop execution, or trading outcomes.
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PROJECTED PATH
The Projected Path is a visual corridor extending from the setup entry toward Path Level 2.
It is not a forecast.
It does not use future prices to calculate where the path should go.
Instead, the corridor is shaped using the confirmed setup and the current market-state information available after the setup has been created.
Its curvature responds to pressure migration and displacement.
Its width responds to the current state and field energy, allowing the visual route to become wider when the market environment is more uncertain and narrower when conditions are calmer.
Because the path can respond to subsequent confirmed market conditions, it should be read as a dynamic visual reference rather than a promised route taken by price.
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PATH LEVEL EXTENSIONS
When a continuation setup remains active and another qualifying continuation condition appears in the same direction, Path Level 2 can be extended.
Extensions are limited by an internal maximum so that one continuously trending environment cannot expand the objective indefinitely.
The extension uses the configured Path Level 1 ATR distance as the incremental extension amount.
WHY THE REACTION FIELD EXISTS
The Reaction Field was created to solve a specific problem:
Price candles show what happened, but they do not always make the change in underlying closing pressure easy to read.
A market can move higher while its internal pressure is weakening.
A market can move lower while selling pressure is beginning to lose control.
A reversal can develop through several candles before the change becomes obvious from price alone.
Likewise, a strong-looking candle does not automatically mean that directional pressure is continuing. The candle may contain a large amount of wick, may occur inside a rotational market, or may simply be an isolated expansion.
Reaction Path therefore separates two ideas:
PRICE LOCATION : Where price is relative to the current Fair Price area.
PRESSURE MIGRATION : How the recent balance of closing pressure is changing.
The Reaction Field is the visual representation of that second component.
For every candle, the engine examines where the close occurred inside the candle's own high-low range.
A close near the high contributes stronger upward closing pressure.
A close near the low contributes stronger downward closing pressure.
Those observations are averaged over a rolling window using the same wick-weighting concept used by the Fair Price calculation.
The engine then compares the current Pressure Centre with an earlier Pressure Centre.
That difference is called Migration .
In simplified form:
Pressure Centre = weighted average of close location within recent candle ranges
Migration = Current Pressure Centre - Prior Pressure Centre
The Reaction Field plots this migration as a behavioural field.
This creates a visual layer that answers a different question from the price chart:
"Is control shifting, and in which direction?"
That is why the oscillator is not intended to behave like RSI, MACD, Stochastic, or a traditional overbought/oversold oscillator.
It is also not intended to be used as a standalone buy/sell trigger.
Its purpose is to provide continuous context around the discrete events identified by the main engine.
For example:
Price can be below Fair Price while pressure begins migrating upward.
Pressure can continue building before a full Reaction setup qualifies.
Migration can reverse direction across the configured stall threshold, creating a SHIFT condition.
Pressure can reach an extreme zone, producing an EXHAUSTION state.
Pressure can remain directionally aligned while price travels beyond Fair Price, supporting continuation context.
The oscillator therefore acts as the behavioural " state layer " between raw candles and the final setup qualification.
The candle chart shows the movement.
The Fair Price Band shows location.
The Reaction Field shows pressure migration.
The signal engine combines these and additional price, volume, speed, depth, efficiency, expansion, and trend conditions before creating a Reaction or Continuation setup.
This separation is intentional.
The Reaction Field is there to help the trader understand the condition that surrounds a signal, rather than simply displaying another indicator that generates an independent signal.
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REACTION FIELD - HOW TO READ THE PANE
The lower Reaction Field is the indicator's dedicated analytical pane.
It is intentionally not designed as a conventional overbought/oversold oscillator.
The field visualizes the direction and magnitude of Pressure Migration.
REACTION SPINE
The main line represents the scaled migration value.
Positive territory indicates upward pressure migration.
Negative territory indicates downward pressure migration.
The distance from the centre gives additional visual context about migration magnitude.
REACTION FLOW
Reaction Flow is a scaled companion to the Reaction Spine.
It provides a secondary visual representation of the same migration field so smaller movements can be compared more easily.
REACTION CENTRE
The centre line provides the zero reference.
REACTION FIELD
The shaded field surrounds the Reaction Spine.
Its width responds to field energy, which reflects migration magnitude and range-speed behaviour.
REACTION TRANSITION
A small transition marker can appear when the engine identifies a SHIFT or EXHAUSTION condition.
The Reaction Field should therefore be interpreted as a pressure-behaviour visualization, not as an independent buy/sell oscillator.
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DASHBOARD - WHAT EACH ROW MEANS
The on-chart dashboard summarizes the current state without requiring the trader to interpret every calculation separately.
MARKET STATE
Displays the current behavioural classification such as:
EXHAUSTION
SHIFT
BUILDING
TRAVEL
MOVING UP
MOVING DOWN
NEUTRAL
PATH
Shows whether the current pressure/path condition is:
UP OPEN
DOWN OPEN
WAIT
LOCATION
Shows where the current close sits relative to the Fair Price region:
ABOVE FAIR
BELOW FAIR
AT FAIR
ACTIVE SETUP
When a setup is active, the dashboard provides:
ENTRY
PATH LEVEL 1
PATH LEVEL 2
INVALIDATION
When no setup is active, the dashboard displays that no active setup is currently present.
The dashboard also displays the current symbol and chart timeframe.
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VISUAL SETTINGS
SHOW HISTORICAL SETUPS
When enabled, completed setups remain visible so historical behaviour can be reviewed.
The number of retained completed setups is capped by the Maximum Historical Setups setting.
The current implementation allows up to 25 retained historical setups.
SHOW REACTION BAND
Displays the three nested Fair Price bands directly on the price chart.
SHOW PROJECTED PATH
Displays the dynamic corridor between the setup entry and Path Level 2.
This can be disabled when a cleaner chart is preferred.
SHOW DASHBOARD
Displays the current market-state and setup summary.
DASHBOARD SIZE
Available sizes:
Small
Medium
Large
DASHBOARD POSITION
Available positions:
Top Left
Top Right
Bottom Left
Bottom Right
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INPUTS - GROUPED BY SETTINGS PANEL
ENGINE SENSITIVITY
Signal Mode
Reaction Only
Continuation Only
Both
This determines which signal family the engine is allowed to generate.
Setup Sensitivity
Controls overall selectivity.
Lower values allow more setups.
Higher values require stronger market behaviour.
TRADE GEOMETRY
Path Level 1
Defines the distance from the setup entry to Path Level 1 in ATR units.
Path Level 2
Defines the distance from the setup entry to Path Level 2 in ATR units.
Invalidation
Defines the invalidation distance used for Reaction setup geometry.
VISUAL SYSTEM
Show Historical Setups
Keeps completed setups visible for historical review.
Maximum Historical Setups
Controls the maximum number of completed setup drawings retained at once.
Show Reaction Band
Controls visibility of the Fair Price bands.
Show Projected Path
Controls visibility of the dynamic path corridor.
DASHBOARD
Show Dashboard
Controls dashboard visibility.
Dashboard Size
Controls dashboard text size.
Dashboard Position
Controls dashboard placement.
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HOW TO USE REACTION PATH
A practical workflow is to begin with the market state rather than immediately reacting to an individual signal.
STEP 1 - CHECK LOCATION
Determine whether price is:
ABOVE FAIR
BELOW FAIR
AT FAIR
This establishes the current relationship between price and the Fair Price area.
STEP 2 - CHECK PRESSURE
Read the Reaction Field and Pressure Migration.
Look for whether pressure is:
Building.
Moving.
Shifting.
Reaching exhaustion.
Remaining neutral.
STEP 3 - IDENTIFY THE BEHAVIOUR
A Reaction condition and a Continuation condition represent different market behaviours.
Do not interpret every long condition as interchangeable with every other long condition.
Reaction setups are based on displacement and response characteristics.
Continuation setups are based on directional persistence, expansion, efficiency, and trend alignment.
STEP 4 - CHECK THE SETUP GEOMETRY
When a signal appears, review:
ENTRY
PATH LEVEL 1
PATH LEVEL 2
INVALIDATION
These levels provide the framework for evaluating the setup rather than requiring the trader to estimate distances visually.
STEP 5 - OBSERVE THE PROJECTED PATH
When enabled, use the Projected Path as a visual representation of the current route and uncertainty.
It is not a prediction.
STEP 6 - REVIEW FAILURE MEMORY
When the engine has recently experienced an invalidation, subsequent qualification may become more selective.
This can result in fewer signals during repeated similar conditions.
STEP 7 - APPLY YOUR OWN RISK PROCESS
The indicator provides analytical references.
Position size, leverage, execution, risk per trade, market selection, trading hours, and final trade decisions remain the responsibility of the trader.
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RECOMMENDED TIMEFRAMES
Reaction Path can be applied to different chart timeframes, but it is particularly suited to intraday analysis where changes in candle behaviour, pressure migration, and directional expansion can be observed clearly.
As a practical starting point, traders may evaluate it on:
1 minute
3 minute
5 minute
15 minute
The appropriate timeframe depends on the instrument, liquidity, trading style, and desired holding period.
The same settings should not automatically be assumed to behave identically across every market or timeframe.
The indicator does not use multi-timeframe security requests, so its calculations are based on the selected chart's own data.
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REAL-LIFE EXAMPLE - CONSOLIDATED
Consider a market trading below its current Fair Price area.
Price has recently displaced downward, but the recent candles begin showing stronger lower-wick response while upward closing pressure starts migrating.
The engine may classify the environment as BUILDING or SHIFT depending on the measured pressure transition.
If the remaining Reaction requirements are also satisfied, a REACTION LONG setup can be created.
The chart then provides:
ENTRY
PATH LEVEL 1
PATH LEVEL 2
INVALIDATION
The trader can now evaluate the situation using a defined reference structure rather than treating every tick as a new decision.
A different scenario can occur when price is already above Fair Price.
Suppose the market maintains positive pressure migration, the recent trend is efficient rather than highly rotational, the current range expands beyond its recent range window and the ATR expansion floor, opposing wick behaviour remains limited, and the other continuation requirements are satisfied.
The engine can then produce a CONTINUATION LONG setup.
If the market instead produces an oversized low-efficiency spike, the signal can be withheld.
If an existing setup becomes invalidated, Failure Memory records the characteristics of the environment and can make highly similar subsequent attempts more selective.
LIVE CHART EXAMPLE: REACTION LONG ON QQQ (15m)
Price spent an extended stretch below the lower edge of the wick-weighted Fair Price band, with the Reaction Field spine sitting in negative territory, a sign that recent candles had been closing nearer their lows than their highs, reflecting sustained downward closing pressure.
As price pushed further beneath Fair Price, the depth of that penetration cleared the engine's minimum requirement, and the bars driving it stayed clean of spike behaviour, sufficient range, volume, and body efficiency, without any oversized, low-quality wick bar in the mix.
On the signal candle itself, the lower wick grew clearly longer than the upper wick: a decisive rejection of the downside rather than an indecisive drift. At the same moment, the Pressure Centre had already begun migrating upward, flipping the Reaction Field spine from negative to positive on that identical bar.
It was this convergence, sufficient displacement and depth below Fair Price, a wick-confirmed rejection, and a same-bar pressure flip - that opened the gate for a Reaction Long setup, rather than any single condition acting alone.
LIVE CHART EXAMPLE - CONTINUATION LONG ON BTC/USDT (5m)
Price had already pushed above the fair-price band and, over the signal bar and the one immediately before it, closed above it both times- the engine's threshold for acceptance rather than a single overshoot. Over the same stretch, the broader move up from the earlier local low remained efficient enough to qualify as a genuine trend rather than rotational chop, and the Reaction Field spine was already migrating upward, meaning closing pressure was actively supporting the direction of the setup.
On the signal candle, range expanded beyond the recent local maximum and cleared the ATR-based expansion floor, while the upper wick stayed minimal and the body dominated the bar, a decisive, clean directional bar regardless of its color. It was these conditions holding together on that one bar- acceptance above fair, a qualifying expansion bar, clean wick geometry, and trend efficiency- that opened the gate for a Continuation Long setup, rather than any single measurement acting alone.
These examples describe how the engine behaves conceptually. They are not historical performance claims or guarantees of what price will do next.
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ALERTS
Reaction Path provides alert events for the setup lifecycle.
NEW SIGNAL
Triggered when a new Reaction or Continuation setup is created.
TARGET REACHED
Triggered when the active setup reaches its Path Level 2 completion condition.
INVALIDATED
Triggered when the active setup reaches its invalidation condition.
Signal, target, and invalidation alerts are generated on confirmed bar events using once-per-bar-close alert frequency.
The alert message includes the chart symbol, timeframe, event type, signal type, and relevant price level.
Use TradingView's alert system to create the desired alert from the indicator.
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CONFIRMATION, REPAINTING, AND DATA BEHAVIOUR
Current-bar signal decisions are restricted to confirmed bar data.
The indicator does not use request.security().
It does not use lookahead.
The signal lifecycle is therefore based on closed-bar confirmation rather than intrabar creation of a setup followed by later modification of that signal.
Some visual elements, such as live setup labels and dashboard presentation, may update while the current chart bar is forming.
Those visual updates do not create, close, or modify the confirmed signal decision.
The indicator is also intentionally disabled on non-standard chart types such as Heikin Ashi, Renko, Kagi, Point & Figure, and Range charts.
Use a standard chart type when evaluating the indicator.
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LIMITATIONS
Reaction Path is an analytical indicator, not an automatic trading system.
No indicator can determine with certainty whether a market will reverse, continue, reach a target, or respect an invalidation level.
The calculations are sensitive to the characteristics of the selected instrument and timeframe.
Low-liquidity markets, unusual spreads, sudden news events, market gaps, abnormal volatility, and unreliable volume data can affect the behaviour of any price-based analytical model.
Volume-dependent qualification also depends on the quality of volume supplied by the symbol.
The Projected Path is a visual representation of the current confirmed setup and market state. It is not a future-price forecast.
Path Level 1, Path Level 2, and Invalidation are reference levels derived from the configured geometry and current market information. They do not represent guaranteed execution levels or guaranteed outcomes.
Historical setup drawings are provided for visual review and should not be interpreted as a verified backtest or performance record.
If Path Level 2 and Invalidation are both touched during the same bar, the script cannot determine the true intrabar sequence from OHLC data alone. It resolves this ambiguity conservatively by treating the setup as invalidated when both levels are touched on the same bar.
The indicator does not replace independent analysis, risk management, or execution planning.
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IMPORTANT NOTES
For consistent interpretation:
Use standard chart types.
Evaluate signals on closed bars.
Understand the difference between Reaction and Continuation signals.
Treat the Fair Price area as a dynamic reference, not an absolute support or resistance level.
Read the Reaction Field as pressure migration rather than a traditional overbought/oversold oscillator.
Consider the dashboard as a summary of the engine state, not an independent signal source.
Treat Failure Memory as an adaptive qualification filter, not as a prediction of future failure.
Review Path Level 1, Path Level 2, and Invalidation together.
Do not assume identical behaviour across different symbols and timeframes.
Use your own risk and execution rules before acting on any setup.
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DISCLAIMER
This indicator is provided for informational and educational purposes only and does not constitute financial, investment, trading, or other professional advice.
Trading financial markets involves substantial risk, including the possible loss of capital.
The signals, states, levels, visualizations, and alerts generated by Reaction Path are analytical references only. They do not guarantee market direction, execution, profitability, target achievement, or avoidance of losses.
Past market behaviour and historical setup visualization do not guarantee future results.
Users are responsible for their own trading decisions, risk management, position sizing, and execution. אינדיקטור
אינדיקטור
Gamma PressureGamma Pressure is a composite oscillator that estimates directional buying/selling
pressure in equity-index instruments (ES/MES, NQ/MNQ, SPX, NDX, SPY, QQQ, RUT,
IWM) by blending six independent, purely price/volume/volatility-derived
signals into a single -100 to +100 reading.
**⚠️ Important — read this first:** Gamma Pressure does **not** use options
chain data, open interest, strike-level exposure, or any real dealer
positioning feed. It has no access to that data and makes no claim to. Every
input is ordinary OHLCV price/volume plus one standard, publicly-quoted
volatility index (VIX, VXN, or RVX depending on the chart's symbol) and the
US Dollar Index (DXY) — all pulled the same way any other indicator reads a
second symbol. "Pressure" here means *inferred* pressure from how price,
volume, and implied volatility are behaving, not a measurement of actual
options-dealer hedging flow. Treat it as a momentum/positioning-flavored
composite, not literal gamma exposure.
**How it's derived (in general terms)**
Six signals, each normalized to a -1..+1 range:
1. **Price momentum** — recent directional thrust, scaled by ATR so it reads
consistently across calm and volatile stretches.
2. **Volatility-index slope** — the rate of change in the symbol-appropriate
VIX-family index. Falling implied volatility is treated as a bullish
contribution (consistent with the common pattern of vol compressing as
markets grind higher), rising vol as bearish. This is the closest this
script gets to "options-flavored" input, and it's still just an index
level, not chain data.
3. **Volume flow** — session-cumulative volume, signed by whether each bar
closed above or below its open, with decay so recent bars dominate over
stale ones.
4. **Trend agreement** — two EMA lengths' slopes; when both agree in
direction and magnitude the reading strengthens, when they disagree it
pulls back toward neutral.
5. **Dollar Index pressure** — DXY's slope, sign-flipped, as a cross-asset
risk-on/risk-off cross-check.
6. **Candle conviction** — body-to-range ratio adjusted by relative volume,
i.e. how decisively the current bar closed, weighted by how much volume
backed it.
The six normalized signals are combined as a user-weighted average (every
weight is adjustable — nothing is hard-coded as "the right" calibration),
smoothed, and scaled to the final -100..+100 line. The main plot is a
histogram of the Pressure value; a second line plots its own slope (rate of
change), so you can see both the level and how fast it's building or fading
at a glance.
**Reading it**
- **Zero line** — the basic bias flip point. Above zero = net bullish
pressure by this composite's reckoning, below = net bearish.
- **±50** — a stronger, more sustained reading — most of the six components
are likely agreeing.
- **±80** — an extreme reading. Not an entry trigger by itself — treat it as
"pay attention," often either a continuation or an exhaustion point, and
confirm with your own structure/levels.
**Alerts included:** bullish/bearish zero-cross, strong bull/bear (±50
cross), and extreme bull/bear (beyond ±80).
**Symbol handling:** the script auto-detects which volatility index to
reference based on the chart's symbol (Nasdaq-family → VXN, S&P-family →
VIX, Russell-family → RVX), so it can be dropped on any of the supported
symbols without manual setup. It's built for liquid US equity-index
instruments specifically — the underlying logic (vol-index slope, DXY
cross-check) doesn't carry the same meaning on commodities, forex, or
single-name equities outside that set.
**Bottom line:** this is a transparent, fully-adjustable composite built from
public price, volume, and index data — not a real-time options-flow feed.
Use it as one more lens on directional pressure, not a substitute for actual
market structure or your own risk management.
אינדיקטור
[Viprasol] Gold Sniper ConfluenceOverview
Gold Sniper Confluence is a gold-only edition of the Sniper Confluence engine, which builds on "Sniper Entry/Exit with SL&TP by KhanSaab V.02" by KhanSaab (open-source). KhanSaab's script provides the fast / slow EMA crossover trigger, the ATR-based stop-loss and take-profit ladder, the VWAP overlay, RSI and MACD read-outs, a secondary-timeframe RSI and the EMA-retest candle highlight. This version keeps every one of those components and adds two layers on top: a confluence scoring gate that decides whether a crossover is allowed to become a signal, and a gold layer that only exists because gold trades differently from other markets: a symbol guard that suppresses signals on non-gold charts, a US Dollar Index (DXY) inverse-correlation factor, a London / New York session filter and an average-daily-range (ADR) exhaustion filter with dollar and point risk read-outs.
It is built for XAUUSD and GC / MGC futures traders on intraday charts who want each crossover confirmed by the dollar, the session and the day's remaining range before acting. The on-chart HOW IT WORKS legend, live checklist and summary footer explain the logic directly on the chart.
Why Gold Needs Its Own Filters (Mashup Justification)
- Gold is priced in dollars, so a rising dollar is a headwind for gold and a falling dollar a tailwind. An EMA crossover that fights the dollar is a lower-quality crossover. The DXY factor scores that relationship, but only while the two are actually moving inversely, because the link does break at times (risk-off days, rate shocks).
- Gold's volume and range are concentrated in the London and New York sessions. Crossovers during the Asian session tend to happen in thin, choppy conditions and are more likely to whipsaw.
- Gold has a fairly stable average daily range. Once the day has already travelled its usual distance, a late crossover is buying or selling into exhaustion. The ADR filter blocks those entries.
- The symbol guard keeps the DXY and ADR logic honest: it only makes sense on gold, so signals are suppressed elsewhere unless you deliberately turn gold-only mode off.
How It Works
1. EMA crossover trigger (from original)
Fast EMA (default 9) crossing above the slow EMA (default 21) is a long trigger; crossing below is a short trigger. With bar-close confirmation on (new), the cross must still hold when the bar closes.
2. Confluence score, 8 factors (factors 1-7 were displayed in the original; the scoring gate and factor 8 are new)
Each bar the indicator counts how many factors agree with each direction:
bullScore = 0
bullScore += close > VWAP
bullScore += RSI(14) > 50
bullScore += MACD line > signal line
bullScore += fast EMA > slow EMA
bullScore += ADX(14) > 25 and close > fast EMA
bullScore += volume > SMA(volume, 20) and close > open
bullScore += RSI(14) on the confirmation timeframe > 50
bullScore += DXY inverse factor (see step 3)
bearScore = mirror image (below instead of above)
a crossover becomes a signal only if its score >= Minimum score (default 5 of 8)
3. DXY inverse-correlation factor (new)
dxyClose, dxyEma = DXY close and EMA(dxyClose, 21) on the chart timeframe
corr = correlation(close, dxyClose, 20)
linkActive = corr <= -0.3
bull point if linkActive and dxyClose < dxyEma (dollar weak)
bear point if linkActive and dxyClose > dxyEma (dollar strong)
no point to either side while the link is not active
The dashboard shows the DXY value, its trend arrow, the live correlation and a tick when the link is active. Turning the factor off makes the score out of 7.
4. Gold symbol guard (new)
isGold = base currency == "XAU"
or ticker contains "XAU" or "GOLD" (non-stock symbols)
or futures root == "GC" or "MGC"
or ticker contains your custom keyword
if gold-only mode and not isGold: signals suppressed, dashboard header turns red
5. London / New York session filter (new)
inLondon = bar time inside 03:00-12:00 (New York time, editable)
inNewYork = bar time inside 08:00-17:00 (New York time, editable)
sessionOk = filter off, or chart is daily or higher, or inLondon or inNewYork
Blocked crossovers are marked with a small grey x and the dashboard shows which session (or ASIA / OFF-HOURS) the last bar belongs to. The active session can be shaded on the chart.
6. ADR exhaustion filter (new)
ADR = SMA(daily high - daily low, 14) taken from completed days only
todayRange = running high - running low of the current day, built from the chart's own bars
adrUsed% = todayRange / ADR * 100
adrOk = filter off, or adrUsed% < Block threshold (default 100%)
The ADR is requested from the daily feed with a one-bar offset so historical and live bars see the same completed-day value. Because the ADR uses finished days and today's range is accumulated bar by bar, neither value repaints. The dashboard shows ADR in dollars and the percentage used, turning amber from 75% of the threshold and red once blocked.
7. Final signal gate (new)
LONG = bull crossover and bullScore >= minimum and goldOk and sessionOk and adrOk and not already long
SHORT = mirror image
Every gate only removes crossovers; none of them creates a signal that the original crossover logic would not have produced.
8. ATR stop and take-profit ladder (from original, extended)
Stop = entry -/+ ATR(14) x 1.5. Targets sit at 1R, 2R and 3R. The number of targets (1-3) is configurable (new), target lines turn turquoise and the label gets a tick when touched (from original) and the stop moves to breakeven when TP1 is hit (new). Every label states its distance from entry in points, for example "SL: 4364.87 (-50 pts)" or "TP1: 4355.83 (+40 pts)", and the dashboard shows the same distances in dollars and points (new). The point size is configurable because brokers count gold points differently.
9. Retest candles (from original)
While a trade is active, a candle that pulls back into the fast EMA without breaking the slow EMA is coloured orange.
What Is Original (Viprasol Additions)
1. Confluence scoring gate: the seven original read-outs are turned into a score that must reach a minimum before a crossover can fire.
2. DXY inverse-correlation factor with a rolling-correlation switch, so the dollar only votes while the inverse link is real.
3. Gold symbol guard that detects spot, CFD and futures gold from the symbol and suppresses signals elsewhere.
4. London / New York session filter with editable windows and timezone.
5. ADR exhaustion filter using completed-day ranges and a live, non-repainting intraday range, plus dollar and point risk read-outs on the labels and dashboard.
6. Bar-close confirmation of the crossover.
7. Breakeven trailing after TP1 and a configurable number of take-profit levels.
8. Blocked-signal markers that show exactly which crossovers the gold filters removed and why.
Key Features
From the Original (KhanSaab):
- Fast / slow EMA crossover long and short triggers
- ATR-based stop-loss and take-profit levels with hit colouring
- VWAP overlay with directional colouring
- RSI, MACD, ADX and volume read-outs
- Secondary-timeframe RSI
- Orange EMA-retest candles
Added in This Version (Viprasol):
- 8-factor confluence score with minimum-score gate
- DXY inverse-correlation factor with live correlation check
- Gold symbol guard with custom keyword
- London / New York session filter with session shading
- ADR exhaustion filter with % used and $ / pts distances
- Bar-close confirmation, breakeven trail, 1-3 configurable targets with signed point distances on every label
- Grey x markers for crossovers blocked by a gold filter
- Dashboard with every factor, the three gold gates and the open trade
- HOW IT WORKS legend, live tick / cross checklist and strategy summary panels, each with its own position setting
- Ten alert conditions with dynamic messages
How to Use
Setup:
1. Open a gold chart (OANDA:XAUUSD, FX:XAUUSD, COMEX:GC1! or MGC1!) using standard candlesticks.
2. Keep the default 9 / 21 EMAs and minimum score 5 to start.
3. Check the Session timezone. Windows are written in New York time by default; switch to Exchange if you prefer your broker's clock.
4. Set Point size to match how your broker counts gold points (0.10 for most, so a $5.00 stop reads as 50 pts).
Reading the chart:
- BUY label below a bar = bullish crossover that passed the score and all three gold gates. SELL label above a bar = bearish equivalent.
- Grey x = a crossover that had enough confluence but was blocked by the symbol guard, the session filter or the ADR filter. The dashboard's Signal row names the reason.
- Cyan dashed line = entry, red line = stop, green dashed lines = TP1-TP3. Each line ends at a label that shows the price and the distance from entry in points. A turquoise line and a tick on the label mean that target was touched. A dotted cyan stop means it has moved to breakeven.
- Orange candle = pullback into the fast EMA while the trade is active.
- Violet shading = London window, gold shading = New York window, brighter gold = the overlap.
Panels:
- HOW IT WORKS (top left by default) explains the flow in seven lines.
- Checklist (bottom left by default) shows a tick or cross for all eight factors and the three gold gates for the currently stronger side, and states whether the engine is ARMED, BLOCKED or waiting for confluence.
- Dashboard (top right by default) shows live values, DXY, session, ADR, risk in $ and points, and trade status.
- Every panel has its own position setting (nine positions), so they can be arranged to suit any chart size.
Recommended starting points:
- Scalping (1m-5m): EMA 5 / 13, minimum score 6, ATR x 1.0, ADR block 90%
- Intraday (15m-1H): EMA 9 / 21, minimum score 5, ATR x 1.5, ADR block 100%
- Swing (4H-1D): EMA 9 / 21, minimum score 4, ATR x 2.0, session filter off
These are starting points only. Gold's volatility regime changes; test on historical data and adjust before trading live.
Settings
1 Signal Engine: fast EMA, slow EMA, bar-close confirmation.
2 Confluence Filter: enable the gate, minimum score (out of 8).
3 Gold Symbol Guard: gold-only mode, extra gold ticker keyword.
4 DXY Dollar Factor: enable, DXY symbol, DXY trend EMA, correlation lookback, inverse-link threshold.
5 Gold Sessions: enable, London window, New York window, timezone, session shading.
6 ADR Exhaustion: enable, ADR lookback, block threshold (% of ADR), point size.
7 Risk Management: stop-loss ATR multiplier, ATR period, number of take-profit levels, breakeven at TP1.
8 Confirmation Timeframe: timeframe of the secondary RSI factor.
9 Dashboard: show, position, text size.
10 On-Chart Panels: HOW IT WORKS legend, live checklist, strategy summary, each with a show toggle and its own position.
11 Visuals: EMA ribbon and transparency, VWAP, trade lines and labels, label size and offset, retest candles, blocked-signal markers.
Alerts
1. Gold Long Entry - bullish crossover passed the score and all gold gates
2. Gold Short Entry - bearish equivalent
3. Any Gold Entry - either direction
4. Strong Bull Bias - bull score crossed above 70%
5. Strong Bear Bias - bear score crossed above 70%
6. DXY Inverse Link Active - gold / DXY correlation fell back below the threshold (new)
7. DXY Inverse Link Lost - correlation rose above the threshold, DXY factor paused (new)
8. Gold Session Opened - the London or New York window just started (new)
9. ADR Exhausted - today's range reached the block threshold (new)
10. Signal Blocked by Gold Filter - a qualifying crossover was removed by a gold gate (new)
All alerts include {{ticker}}, {{close}} and {{interval}} placeholders.
Limitations & Disclaimer
- EMA crossovers lag by nature. The gates reduce whipsaws but cannot remove them; ranging days will still produce crossovers that fail.
- The DXY factor depends on the dollar-index symbol being available to your account and having data on the chart timeframe. When DXY is closed (weekends, holidays) the last known value is carried forward.
- The correlation gate uses a rolling window; at the very start of the chart history it is empty and the DXY factor scores nothing.
- The DXY factor is scored, not gated. At the default minimum of 5 the signals are a subset of the general-market Sniper engine; if you lower the minimum to 4, a cross with only three of the original factors plus the DXY point can qualify.
- A crossover that is blocked by a gold gate still ends the opposite open trade, exactly as an unblocked crossover would. Only the new entry is withheld.
- Session windows are wall-clock filters. Holidays, daylight-saving changes and broker-specific hours can shift when gold is actually liquid.
- ADR is a statistical average. Gold can and does exceed it on news days; the filter deliberately stays out of those late moves.
- The secondary-timeframe RSI uses request.security and its current-bar value can change until that timeframe's bar closes.
- Entry, stop and target lines are visual references only. The indicator does not place or manage trades.
- Past performance of any signal system does not guarantee future results. This indicator is for educational and analytical purposes only and is not financial advice. Always use proper risk management and do your own analysis before trading.
Credits & Attribution
This indicator is derived from "Sniper Entry/Exit with SL&TP by KhanSaab V.02" by KhanSaab (open-source, TradingView). The following components originate from that script:
- Fast / slow EMA crossover signal logic
- ATR-based stop-loss and take-profit calculation with target-hit colouring
- VWAP overlay
- RSI, MACD, ADX and volume read-outs
- Secondary-timeframe RSI (originally fixed to 5 minutes)
- EMA-retest candle highlighting
Viprasol additions: confluence scoring gate, DXY inverse-correlation factor, gold symbol guard, London / New York session filter, ADR exhaustion filter with $ / point read-outs, bar-close confirmation, breakeven trailing, configurable take-profit count and blocked-signal markers.
Published open-source per TradingView House Rules.
אינדיקטור
Fisher Transform Turning Points [RC Tools]RC Tools — Fisher Transform Turning Points
────────────────────────────────────────────────────────────────────
█ OVERVIEW
Most oscillators produce a roughly bell-curve distribution of values, which means they spend a lot of time hovering near their own extremes without committing one way or the other — turning points end up gradual and easy to miss. The Fisher Transform, developed by John Ehlers, fixes this by re-shaping the distribution itself: it converts a naturally Gaussian-ish read into one with much sharper, more decisive swings, so genuine turning points stand out rather than blur together.
█ WHAT IT DOES
Computes the Fisher Transform of price's position within its recent high/low range and classifies each confirmed bar as Bullish or Bearish on a zero-line crossover. Plots a 4-colour momentum histogram (Expansion, Slowdown, Contraction, Recovery) showing not just direction but whether momentum is accelerating or fading, colours the chart background by the confirmed state, and shows a table with the current state, how long price has been in it, and historical base rates (average forward return and win rate) for each state.
█ THE THEORY BEHIND IT
Most price-derived oscillators (RSI, Stochastic, and similar) are bounded and tend to spend a disproportionate amount of time in the middle of their range, with actual extremes reached only briefly. Ehlers' insight was that if you first normalise price's position within its recent range to roughly -1 to +1, then run that through the inverse hyperbolic tangent function, you get an output whose distribution is much closer to genuinely Gaussian — which sounds abstract, but has a very practical effect: the statistic moves through its extremes quickly rather than lingering, producing sharper, more decisive turning points instead of a gradual roll-over.
█ HOW IT IS CALCULATED
1. Normalise price's position within its recent high/low range (over the Length window) to roughly -1 to +1, damped against the prior bar's reading to reduce noise.
2. Run that normalised value through 0.5 × ln((1 + x) / (1 - x)) — the inverse hyperbolic tangent, via a standard logarithmic identity — again damped against the prior output.
3. The resulting Fish value crossing above zero is classified Bullish; crossing below zero is classified Bearish. Between crossovers, the classification holds.
4. Separately, a 4-colour momentum state (Expansion/Slowdown/Contraction/Recovery) is derived from Fish's bar-to-bar change — this is a cosmetic diagnostic layer and does not affect the Bullish/Bearish classification itself.
Note: a trigger-line crossover (Fish against its own lagged value) was tested during development and found too whipsaw-prone for this technique — the zero-line crossover used here produced meaningfully cleaner classification.
Classification occurs ONLY on confirmed bar close — the plotted Fish value, the background colour and the table all update together, so nothing here can disagree mid-bar or flip back and forth as the current bar forms.
█ SETTINGS & CONFIGURATION
• Length (default 10, the classical value from Ehlers' original publication) — the rolling high/low window used for the price-position read
• Table visibility, position and colours are fully configurable; the main-chart background painting can be toggled off if you only want the statistics pane
• Forward Return Window (default 20 bars) — the horizon used for the base-rate table
█ HOW TO USE IT
Use it as a turning-point filter alongside your existing tools, not as a standalone entry signal. Because the transform is specifically built to sharpen turning points, it tends to react faster than smoother oscillators — useful for catching a genuine reversal early, at the cost of more false starts in choppy conditions. Check the base-rate table's sample count before treating any single state as meaningfully predictive.
Works on any asset and timeframe with sufficient history for the Length window.
█ LIMITATIONS
• Fisher Transform is a NORMALISED price-position statistic, not a measure of trend strength or magnitude. Any use of it as a precision reversal forecast is a misuse.
• The sharp, decisive turning points that make this technique distinctive also mean it can whipsaw in genuinely choppy, range-bound conditions.
• The high/low window resets its frame of reference every Length bars; a short length reacts fast but is noisier, a long length is smoother but slower to reflect a genuine change.
• The 4-colour momentum state is a cosmetic diagnostic layered on top of Fish's bar-to-bar change — it does not affect the Bullish/Bearish classification or the base-rate table.
• Historical base-rate stats need a meaningful sample count (check N) before being trusted.
• This script does NOT repaint. All classification updates on confirmed bar close only.
█ DISCLAIMER
For educational and informational purposes only. Nothing here is financial advice. Past behaviour of any turning-point state does not indicate future results. Trade at your own risk.
אינדיקטור
Modern Squeeze Momentum [GBB]MODERN SQUEEZE MOMENTUM
A rework of the Squeeze Momentum Indicator with an adaptive length, graded compression, normalised momentum, a qualified-release filter and a higher-timeframe context layer. Classic mode reproduces the original exactly.
The Squeeze Momentum Indicator (LazyBear's open-source implementation of John Carter's TTM Squeeze) is one of the most used free scripts on TradingView, and for good reason: Bollinger Bands inside Keltner Channels is a clean, intuitive way to spot compression before expansion. It also has four well-known limitations:
- The length is fixed at 20 bars regardless of the market's current cycle.
- The squeeze is binary. A hair inside the Keltner Channel counts the same as an extreme contraction.
- Momentum is in price units, so a reading of 15 on gold and 0.0004 on EURUSD tell you nothing comparable, and no fixed threshold works across symbols.
- Every squeeze release fires, whether or not price actually did anything.
This script keeps the original as its base (Layer 0) and adds five layers on top. Each layer has its own on/off switch so you can see exactly what each one changes.
HOW IT WORKS
Layer 0 - Classic base
Bollinger Bands (SMA +/- 2.0 standard deviations) and Keltner Channels (SMA +/- 1.5 x SMA of true range). Momentum is the linear regression of close minus the midpoint of the Donchian midline and the SMA, exactly as in the original.
Layer 1 - Adaptive length
Instead of a fixed 20, the length follows the dominant cycle measured by the Ehlers Homodyne Discriminator on (high + low) / 2. The cycle estimate is smoothed with a short EMA, clamped to a 12-40 bar range, and rounded. All bands and the momentum calculation use this length, so the indicator tightens in fast markets and widens in slow ones.
Layer 2 - Graded compression
The ratio Bollinger width / Keltner width is percentile-ranked over the last 150 bars. Three grades: light (bottom 30%), medium (bottom 15%), tight (bottom 5%). The zero-line dot grows and changes colour with the grade, and a duration counter tracks how many bars the squeeze has lasted. With this layer off, the classic binary test (BB inside KC) is used.
Layer 3 - Normalised momentum
Momentum is divided by the Keltner range, so the histogram is in "Keltner-range units". A reading of 1.0 means the same thing on BTC 1h, gold 15m and EURUSD 1h. Reference lines at +/-0.5 and +/-1.0 are drawn for orientation. The momentum threshold used in Layer 4 is set in the same units.
Layer 4 - Qualified release
A raw release is simply the squeeze ending. A qualified release additionally requires, on the release bar:
- momentum direction agrees with the bar direction (close vs open),
- absolute momentum is at or above the threshold (default 0.5),
- the squeeze lasted at least the minimum number of bars (default 3),
- close breaks the high (long) or low (short) of the range that formed during the squeeze.
Qualified releases are drawn as solid triangles (green up, red down). Unqualified releases are drawn as small grey dots so you can see what the filter removed. Turn the layer off and every release fires, as in the original.
Layer 5 - Context
HTF wash: the full layer stack is evaluated on a higher timeframe (default 4x the chart timeframe, or pick your own). When the higher timeframe is in a squeeze, the pane background is tinted, darker for tighter grades. Only closed higher-timeframe bars are used, lookahead is off. If the chosen HTF is not above the chart timeframe, a label says so and the wash is disabled.
Stats table: running counts on the loaded bars. Number of squeezes, raw vs qualified releases, hit rate (did close move in the release direction after H bars) and range multiple (the H-bar range after a qualified release, in ATR, relative to the H-bar range of all bars). H defaults to 10 bars.
READING THE PANE
- Histogram: the four original states are kept. Positive and rising, positive and falling, negative and falling, negative and rising, each in its own colour.
- Zero-line dot: small blue-grey = no squeeze; yellow / orange / red and increasingly large = light / medium / tight squeeze.
- Triangles: qualified release, long below the histogram, short above.
- Grey dots: releases that did not pass the filter.
- Background tint: the higher timeframe is in a squeeze.
- Reference lines: +/-0.5 and +/-1.0 Keltner-range units (only drawn when Layer 3 is on).
Three palettes: GBB (default), LazyBear (original colours) and Mono.
CLASSIC MODE
One switch in the General group turns Layers 1-4 off, sets the fixed length, and reproduces the original Squeeze Momentum Indicator histogram and squeeze dot. Combine it with the LazyBear palette if you want the familiar look. It is there so you can check for yourself what the added layers do and do not change.
ALERTS
Five alert conditions, all evaluated on confirmed bars only:
- Squeeze started (message includes the grade)
- Squeeze released (raw)
- Qualified release - long
- Qualified release - short
- HTF squeeze started / released
REPAINTING
Releases, markers, alerts and table counts are evaluated on confirmed bars. The higher-timeframe layer uses closed HTF bars only. The adaptive length and the percentile rank depend on recent history, so values on the current bar can move until it closes, like any indicator that uses the live bar.
SETTINGS OVERVIEW
- General: Classic mode.
- Adaptive length (Layer 1): on/off, min and max length, fixed length for when the layer is off.
- Bands: BB and KC multipliers.
- Compression (Layer 2): percentile ranking on/off, rank window, light / medium / tight percentiles, minimum squeeze bars.
- Momentum (Layer 3): normalisation on/off, momentum threshold.
- Release (Layer 4): qualified filter on/off, require range break, show unqualified releases.
- Context (Layer 5): HTF wash on/off, HTF selection, stats table on/off, stats horizon.
- Visual: palette.
CREDITS
- John Carter for the TTM Squeeze concept.
- LazyBear for the open-source Squeeze Momentum Indicator that this script extends. Layer 0 and Classic mode are his logic.
- John F. Ehlers for the Homodyne Discriminator (Rocket Science for Traders).
Open source. No hype, just data. Nothing here is a trade recommendation; a squeeze tells you volatility contracted, not which way it will expand. אינדיקטור
Eaglizer RSI CloudMost RSI indicators plot one line that whips around and tells you very little on its own. This plots two moving averages of the RSI instead, and fills the space between them, so you can see the momentum regime rather than the momentum noise.
WHAT IT DOES
It takes RSI 14, then builds two moving averages on top of it. A fast one at 9 and a slow one at 50. The space between them is filled as a cloud.
When the fast average is above the slow one, the cloud is green and momentum is in a bullish regime.
When the fast average is below the slow one, the cloud is red and momentum is in a bearish regime.
A small triangle marks the bar where the cloud flips.
WHY AVERAGE THE RSI AT ALL
Raw RSI reacts to every bar. That is useful for spotting an extreme reading, and useless for telling you what the underlying momentum is actually doing. Averaging the RSI strips out the single bar reactions and leaves the shape of the move.
The 9 and the 50 do different jobs. The fast average is what momentum is doing right now. The slow average is the regime you are trading inside. The gap between them is the part that matters: a wide cloud means momentum is running, a narrow one means it is stalling, and a flip means the regime changed.
HOW I USE IT
I use this as a filter, not as a trigger. I want the cloud on my side before I take a setup in that direction. If I am looking for longs and the cloud is red, I wait.
I trade this mostly on the 4 hour and the daily. On very low timeframes the slow average becomes slow enough to be behind the move.
A flip on its own is not an entry. It is a reason to go look at the chart.
SETTINGS
RSI length, default 14. Fast RSI MA, default 9. Slow RSI MA, default 50. Both averages can be set to SMA or EMA, and SMA is the default because it is steadier.
You can turn on the raw RSI line if you want to see it underneath the cloud. It is off by default because the whole point is to stop staring at it.
Reference levels sit at 70, 50, and 30.
ALERTS
Two alert conditions are included, one for the cloud flipping bullish and one for it flipping bearish. Both carry the ticker and the close price.
WHAT THIS IS NOT
This is not a complete trading system and I am not presenting it as one. It has no entry price, no stop, and no target. It tells you what momentum regime you are in. Everything after that is on you.
The full system I trade adds pivot breakout boxes, an EMA 89, a higher timeframe EMA 34, a volume filter, and defined stop and target rules. If you want it, the link is on my profile.
DISCLAIMER
This is a technical analysis tool for education and research. It is not financial advice, it is not a recommendation to buy or sell anything, and past behavior of any indicator does not predict future results. Trading involves risk of loss. Size your positions accordingly and do your own work. אינדיקטור
EMA Trend ProEMA Trend Pro
OVERVIEW
EMA Trend Pro is a dual moving-average trend tool with built-in confluence filters. It colors the trend, marks momentum shifts when the fast average crosses the slow one, and — unlike a plain moving-average cross — filters those signals through a higher-timeframe trend check and an ATR-based range check to cut down on false signals. A compact info panel keeps the current state visible at a glance.
HOW IT WORKS
The script builds two moving averages from a source of your choice, and you can select the averaging method (EMA, SMA, WMA, RMA, or VWMA):
• Fast MA (default 21) — reacts quickly to recent price.
• Slow MA (default 55) — represents the broader trend.
Their relationship defines the regime:
• Fast above slow → momentum aligned to the upside → bullish (green).
• Fast below slow → momentum aligned to the downside → bearish (red).
A moving average smooths price into a single line; an exponential MA weights recent bars more heavily so it tracks price faster than a simple average. Using two lengths separates short-term momentum (fast) from the prevailing trend (slow), and the point where they cross is a classic signal for a potential shift of control between buyers and sellers.
THE FILTERS (what makes this more than a plain cross)
A raw moving-average cross has two well-known weaknesses: it fires against the larger trend, and it whipsaws when the market is flat. EMA Trend Pro addresses both:
• Higher-timeframe (HTF) filter — the same two averages are also computed on a higher timeframe you choose. Long signals are only allowed when the HTF trend is up, and short signals only when it is down. This keeps you trading with the larger trend instead of against it. The HTF values are read without lookahead, so historical signals do not repaint.
• ATR separation filter — the Average True Range (ATR) measures how much price typically moves per bar. This filter ignores any cross where the two averages are closer together than a chosen multiple of ATR, which removes the low-conviction crosses that happen when the averages are tangled in a tight range.
Both filters are optional and independent, so you can run the tool as a simple cross, a trend-aligned system, or a strict range-aware system.
WHAT IT DRAWS
• Fast MA line, colored by the active trend (green / red).
• Slow MA line as a neutral reference.
• A fill between the two averages, tinted by direction — a wider gap means stronger separation.
• Optional background tint and optional bar coloring for the current regime.
• Triangle markers on the exact bar where a filtered signal occurs (up / down).
INFO PANEL
A small top-right table shows, at a glance:
• Trend — current lower-timeframe direction.
• HTF — the higher-timeframe direction and the timeframe used.
• Signal — LONG, SHORT, or none on the current bar.
HOW TO USE IT
• Trend bias: read green as a long bias and red as a short bias.
• Signals: the up / down triangles mark filtered momentum shifts. With the HTF filter on, they only appear in the direction of the larger trend.
• Reduce noise: enable the ATR separation filter, or raise its multiplier, to keep only stronger crosses.
• Tuning: shorter lengths give faster, more frequent signals; longer lengths give fewer, smoother ones. Try different MA types and a higher timeframe that suits your trading style (for example, a 4H filter for signals taken on lower timeframes).
SETTINGS
• MA type — averaging method (EMA / SMA / WMA / RMA / VWMA).
• Source — price series the averages are built from (default close).
• Fast length / Slow length — the two averages (defaults 21 / 55).
• Higher-timeframe filter + Higher timeframe — enable and choose the HTF trend check.
• Min separation filter + Min separation (× ATR) — enable and set the range filter.
• Trend fill / Trend background / Color bars by trend / Signal markers / Info panel — display toggles.
ALERTS
Four ready-made alerts: filtered Long and Short signals, plus Trend flip up and Trend flip down — so you can be notified on any symbol or timeframe.
NOTES & LIMITATIONS
Moving-average crosses are lagging by nature: they confirm a move after it has begun rather than predicting it. The filters reduce false signals but cannot remove them, and a higher-timeframe filter naturally produces fewer, later entries in exchange for better alignment. This tool is a visual aid for trend direction and momentum shifts — it is not a complete trading system and does not manage risk or position size. Always confirm with your own analysis.
Open-source — feel free to study, use, and build on it.
For research and educational purposes only. This is not financial advice. אינדיקטור
Momentum Candle By SkyroothMomentum Candle By Skyrooth highlights expansion candles — the bars where one
side takes control decisively — and filters out the ordinary bars that only look
big because volatility happened to be high at the time.
WHAT PROBLEM THIS SOLVES
Most price action methods depend on a single instruction: "wait for
displacement". A break of structure only counts if the candle that caused it was
decisive. An order block only counts if the move leaving it was strong.
The problem is that "strong" is usually judged by eye, and the eye is unreliable.
A 40 point candle is large on a quiet morning and unremarkable during a news
release. Traders end up calling the same candle valid or invalid depending on
what they want to see.
This indicator applies one fixed measurement instead.
HOW IT WORKS
A candle is marked when all of the following are true:
1. BODY DOMINANCE — the body is large relative to the total range of the bar, so
the close finishes near the extreme rather than in the middle. This is what
separates a decisive bar from a bar that spent the session being rejected.
2. RANGE VS RECENT VOLATILITY — the range is compared against a rolling average
of recent ranges, not against a fixed point value. This is what makes the
measurement adapt: the same threshold works on a quiet session and a volatile
one, and on gold as well as an index.
3. VOLUME CONFIRMATION — the bar is compared against its own recent volume
average. Expansion on thin volume is usually a liquidity gap rather than
participation.
4. DIRECTIONAL AGREEMENT — the bar's direction is checked against the prevailing
trend, so continuation bars are separated from isolated spikes.
Bars meeting the conditions are coloured and marked on the chart. Everything
else is left alone.
HOW TO USE IT
This is a filter, not an entry signal. It answers one question — "was that move
decisive?" — and nothing else. There is no entry, stop or target here.
Typical use:
- CONFIRMING A STRUCTURE BREAK. When price breaks a swing high or low, check
whether the breaking candle is marked. An unmarked break is more likely to be
a liquidity sweep that reverses.
- VALIDATING AN ORDER BLOCK OR IMBALANCE. The candle that leaves the zone should
be marked. If the departure was weak, the zone is weak.
- AVOIDING CHASING. A marked candle means the move already happened. Wait for a
retracement into the area the candle originated from rather than entering at
the extreme.
SETTINGS
- Body ratio threshold — minimum share of the range the body must occupy.
Raise it for fewer, cleaner signals.
- Volatility lookback — number of bars in the rolling range average.
- Volume multiplier — how far above its own average the bar's volume must be.
Set to zero to disable the volume condition on instruments with unreliable
volume data, such as spot forex.
- Trend filter — enable to keep only bars aligned with the prevailing direction.
NOTES AND LIMITATIONS
- Signals are confirmed on bar close. An intrabar candle can meet the conditions
and then lose them before closing.
- Volume conditions depend on the feed. Centralised futures volume is reliable;
spot forex volume is broker specific and often is not.
- A marked candle describes what already happened. It carries no claim about
what happens next, and no win rate is implied.
- Works on any symbol and timeframe, though the volume condition is most
meaningful on instruments with genuine exchange volume. אינדיקטור
SMI Ergodic Oscillator PROSMI Ergodic Oscillator PRO
The SMI Ergodic Oscillator PRO is a momentum indicator designed to help traders identify changes in the strength and direction of price movement.
The indicator displays a histogram, making momentum behavior easy to visualize:
🟢 Green/Lime: momentum is gaining strength or positive slope.
🔴 Red: momentum is weakening or showing negative slope.
Larger bars: indicate stronger momentum.
Smaller bars: may indicate declining momentum and a possible loss of strength.
The main purpose of the indicator is not to generate trades by itself, but to help confirm market direction and identify potential changes in momentum.
How to Use
1. Trend Confirmation
During an uptrend, look for a sequence of consistent positive bars. Sustained momentum can provide additional confirmation that the current move remains strong.
During a downtrend, look for persistent negative bars.
2. Momentum Changes
A change in histogram color can highlight a potential shift in market momentum.
Red → Green
May indicate improving bullish momentum.
Green → Red
May indicate weakening bullish momentum or increasing bearish momentum.
Color changes should be evaluated together with price action, market structure, and the overall trend.
3. Loss of Momentum
When histogram bars begin to decrease in size, even while remaining on the same side, this may indicate that the current movement is losing strength.
This can be used as an alert to:
Reduce exposure
Protect an existing position
Wait for additional confirmation
Monitor for a potential reversal
Parameter Settings
The indicator provides three main parameters:
Parameter Practical Function Effect
Long Length Controls the longer-term sensitivity Higher values = smoother response
Short Length Controls responsiveness to recent price movements Lower values = faster response
Signal Length Controls signal smoothing Higher values = less noise
Suggested Settings
Balanced — 20 / 5 / 5
A good starting configuration for general market analysis and most timeframes.
Fast — 10 / 3 / 3
More responsive to recent momentum changes. Suitable for traders looking for earlier signals, but it may produce more noise.
Conservative — 30 / 7 / 7
Produces a smoother reading and reduces sensitivity to smaller market fluctuations.
Very Conservative — 50 / 10 / 10
Designed for traders who prefer to focus on larger and more sustained market movements.
Choosing the Right Settings
There is no universal "best" configuration. Parameters should be adapted to:
Asset: Crypto, Forex, stocks, indices, etc.
Timeframe: Scalping, day trading, or swing trading.
Volatility: Highly volatile markets may require more conservative settings.
Trading style: Faster settings can be useful for earlier momentum detection, while slower settings can provide stronger confirmation.
Simple Trading Approach
A practical approach is to use the indicator in combination with price structure and market context.
Potential Long Setup:
Favorable market structure + positive momentum + confirmation from the histogram.
Potential Short Setup:
Favorable bearish structure + negative momentum + confirmation from the histogram.
Avoid: entering a trade solely because the histogram changes color. A color change is better treated as a confirmation or warning signal, rather than an independent trading signal.
Important Notice
The SMI Ergodic Oscillator PRO is a technical analysis tool designed to assist with market analysis. It does not guarantee trading results and should not be considered financial advice. Always combine the indicator with proper risk management and independent market analysis. אינדיקטור
Coppock Curve Multi-Filter [MarkitTick]💡 A dual-momentum oscillator built on the classic Coppock Curve, extended with an optional adaptive source pre-filter, an ADX strength gate, and a full ATR-based trade-management layer with staged take-profits, on-chart price levels, and a live dashboard. The core wave is a weighted moving average of two rate-of-change readings, but everything measured downstream of that wave — signal timing, trend bias, and risk levels — can be reshaped by up to eight independent, toggleable filters, giving traders a single oscillator that can behave anywhere from "classic long-term Coppock" to a tightly gated, multi-condition entry engine.
✨ Originality and Utility
The stock Coppock Curve is a single-purpose, long-only momentum tool: sum two rate-of-change readings, smooth with a weighted moving average, and watch for crosses above zero. This script keeps that foundation intact but restructures it into a bidirectional signal engine with a stack of independent confirmation layers that the original concept never included.
The key structural change is the adaptive source stage. Rather than feeding raw closing price directly into the rate-of-change calculations, the script offers a choice of eight different smoothing methods — including a custom Kalman Filter estimator and a custom LLAMA (Linear-Lag Adaptive Moving Average) function — that first condition the price series before Coppock's ROC math is applied. This means the character of the entire curve can be tuned from responsive to heavily smoothed without altering the underlying two-ROC-plus-WMA structure that defines the Coppock method.
Layered on top of that are seven optional gating and confirmation mechanisms (ADX strength, divergence, slope acceleration, volume, higher-timeframe alignment, volatility-adjusted zero line, and signal persistence) that traders can combine in any subset. Because each filter operates independently and can be switched on or off, the same core wave can be configured for a slow trend-confirmation approach or a fast, tightly-filtered signal generator, giving the tool a much broader utility range than a standard Coppock plot.
Beyond signal generation, the script converts each qualifying cross into a full trade plan: an ATR-derived stop-loss, three R-multiple take-profit tiers, live price levels drawn on the chart, and a real-time dashboard summarizing bias, filter states, and trade levels — none of which exist in the original Coppock Curve concept or in standard TradingView implementations of it.
🔬 Methodology and Concepts
● Core Wave Construction
The engine begins with an adaptive source stage. If no adaptive filter is selected, the raw chosen source (default: close) feeds directly into the calculation. If a filter is selected, the source is pre-smoothed using one of the following:
Simple, Exponential, or RMA-based moving averages
A Double WMA (a weighted moving average applied twice in succession, producing extra lag reduction)
A Triple VWMA (three successive volume-weighted moving average passes)
A Hull Moving Average
A custom LLAMA function, which computes a simple moving average over the lookback window, then adds a linear slope term (calculated from the change in price across the window divided by the window length) scaled by half the window length — effectively projecting the average forward along its own recent trajectory
A custom Kalman Filter estimator, which maintains a running estimate and error variance, calculates a Kalman gain each bar from the ratio of predicted error to total error, and blends the new price into the estimate proportionally to that gain — placing more weight on new data when the filter's own uncertainty is high, and more weight on the existing estimate when it is low
Once the (optionally smoothed) source is established, two Rate of Change values are calculated against it — a long lookback and a short lookback, independently configurable. These two ROC values are summed and passed through a weighted moving average, producing the final Coppock Curve value. This is structurally identical to the classic Coppock formula, but with the adaptive pre-filter as an optional intermediate step.
• ADX Strength Filter
When enabled, the script calculates the Directional Movement Index (+DI, -DI, ADX) over a configurable length. A signal — whether a slope change, a cross, or a zero-line cross — is only considered valid if the ADX reading is at or above the user-defined threshold. This filters out Coppock movements that occur during weak or directionless conditions.
• Slope and Cross Detection
The script tracks whether the curve is rising or falling bar-to-bar, and separately detects two types of crosses: a cross of the curve against its own prior value (used as the primary bull/bear signal) and a cross of the curve against the zero line (used as a secondary trend-state signal). Both cross types respect the ADX filter when it is active.
• Signal Locking
A "Lock Signal" input freezes the active signal and trade levels on the most recent bar, preventing new signals from overwriting the currently displayed trade plan — useful for holding a specific setup visible while monitoring live price action.
● Trade-Level Automation
Every new bullish or bearish cross (confirmed and unlocked) triggers a full trade-plan calculation:
Entry is set to the prior bar's close
Stop-loss is placed at a configurable multiple of ATR away from entry, in the direction opposing the trade
Three take-profit levels are calculated as configurable R-multiples of the initial risk distance (the entry-to-stop distance), projected in the trade's favor
Each level's distance from entry is also expressed as a percentage for quick reference
These levels persist on the chart until a new opposing signal fires (or, if Lock Signal is active, until manually released), and are dynamically extended to the current bar so the trade plan remains visible in real time. Take-profit and stop labels update their text once price actually touches each respective level, marking it as hit along with the realized percentage move.
● Optional Confirmation Filters
Seven additional filters exist as inputs in the script but should be understood as configuration flags a trader can layer onto the core signal logic depending on their own methodology:
Divergence Filter — intended to suppress cross signals that run counter to a detected price/Coppock divergence
Slope Acceleration Filter — intended to require the curve's slope itself to be increasing, not merely positive, before validating a signal
Volume Confirmation Filter — intended to require current volume to exceed its moving average before a signal is accepted
HTF Alignment Filter — intended to require a higher-timeframe Coppock reading to agree with the signal's direction
Volatility-Adjusted Zero Line — intended to require zero-line crosses to clear a noise band derived from the indicator's own recent volatility, reducing whipsaw signals near the zero line
Signal Persistence Filter — intended to require the curve's direction to hold for a minimum number of bars before a signal is treated as valid
Traders should treat these as intended-purpose toggles per their input tooltips and confirm behavior against the ADX filter and core cross logic, which are the two filters fully wired into the signal path in this build.
🎨 Visual Guide
● Main Panel (Separate Pane)
The primary line plot shows the Coppock Curve itself. It is colored using the Bull Color when the curve is rising and the ADX filter (if active) passes, the Bear Color when falling under the same condition, and the Neutral Color otherwise.
A histogram of the same Coppock value is plotted in columns beneath the line, using a four-tier color scheme: strong bull shading when the curve is above zero and rising, weak bull shading when above zero but not rising, weak bear shading when below zero but rising, and strong bear shading when below zero and falling.
A dashed horizontal zero line marks the neutral threshold that separates bullish and bearish curve territory.
Small triangle markers appear directly on the curve at the exact bar where it crosses zero — an upward triangle in Bull Color for an upward zero-cross, and a downward triangle in Bear Color for a downward zero-cross.
● Price Chart Overlay
When candle coloring is enabled, the price candles themselves are recolored using the same four-tier histogram coloring described above, turning the price chart into a visual heatmap of underlying Coppock strength and direction.
When a new signal fires and trade levels are enabled, five horizontal lines are drawn directly on price: a solid stop-loss line, a dashed entry line, and three dashed take-profit lines with progressively increasing opacity from TP1 to TP3. Each line carries a right-aligned label showing its role and exact price.
A shaded "risk zone" fills the area between the stop-loss and entry lines, and a "reward zone" fills the area between the entry and TP3 lines, giving an immediate visual sense of the risk-to-reward geometry of the active trade plan.
Once a take-profit or stop level is touched by price, its label updates in place to show a hit confirmation along with the realized percentage gain or loss.
● Dashboard Table
A compact table (position configurable) displays, in real time: the current symbol and timeframe, the Lock Signal state, the raw Coppock value, the current bias (Bullish / Bearish / Neutral, color-coded), the individual long and short ROC readings, whether the curve is currently above or below zero, and — when trade levels are enabled — the live Entry, SL, TP1, TP2, and TP3 prices. If the ADX filter is active, its current reading is shown alongside a pass/fail color cue. If an adaptive filter is selected, its name is displayed for quick reference.
📖 How to Use
Treat a bullish cross (curve turning up) as a potential long-side signal, and a bearish cross (curve turning down) as a potential short-side signal, especially when it aligns with a zero-line cross in the same direction.
Use the zero line as a broader trend-state filter: readings above zero generally reflect positive intermediate-term momentum, while readings below zero reflect negative momentum, independent of the immediate slope.
Enable the ADX filter to restrict signals to periods of measurable trend strength, reducing signals generated during flat or choppy conditions.
Select an adaptive filter method to change the responsiveness of the underlying source feeding the Coppock calculation — faster methods like EMA or the Kalman Filter increase sensitivity, while methods like the Triple VWMA or SMA produce a smoother, slower curve.
When a signal fires, use the automatically plotted Entry, SL, and TP1–TP3 lines as a starting reference for trade structure, and adjust position sizing according to the displayed stop distance and your own risk tolerances.
Use candle heatmap coloring as a quick visual scan across the chart to spot where momentum has historically been strongest or weakest, independent of reading the oscillator pane directly.
Configure the webhook alert action strings in the Alerts group to match the payload keys expected by your automation or webhook receiver before relying on the JSON-formatted alerts for execution.
⚙️ Inputs and Settings
• Core Settings
Source — the price series the calculation is based on (default: close)
Long ROC Length — lookback for the long-term rate-of-change component
Short ROC Length — lookback for the short-term rate-of-change component
WMA Smoothing Length — window for the final weighted moving average applied to the combined ROC values
• Filters
Use ADX Filter / ADX Threshold / ADX Length — enables trend-strength gating and configures its sensitivity
Adaptive Filter / Adaptive Filter Length — selects the pre-smoothing method applied to price before the ROC/WMA math, and its lookback window
Use Divergence Filter / Divergence Pivot Lookback — configuration for suppressing signals against detected divergence
Use Slope Acceleration Filter — configuration for requiring accelerating slope before a signal
Use Volume Confirmation Filter / Volume MA Length — configuration for requiring above-average volume
Use HTF Alignment Filter / HTF Alignment Timeframe — configuration for requiring higher-timeframe agreement
Use Volatility-Adjusted Zero Line / Volatility Zero Band Multiple / Volatility Zero Band Length — configuration for a noise-adjusted zero-cross threshold
Use Signal Persistence Filter / Persistence Bars — configuration for requiring a minimum number of bars of consistent direction
• Trade Tools
Lock Signal — freezes the currently active signal and trade levels
SL ATR Multiple — sets stop-loss distance as a multiple of ATR
TP1 / TP2 / TP3 R-Multiple — sets each take-profit distance as a multiple of the initial risk
ATR Length — lookback for the Average True Range calculation used in stop placement
Show Trade Levels — toggles the on-chart lines, labels, and dashboard trade-level rows
• Visuals
Use Candle Coloring — toggles heatmap-style recoloring of price candles
Show Histogram — toggles the columned histogram beneath the main curve
Show Zero-Cross Markers — toggles the triangle markers at zero-line crosses
• Dashboard
Show Dashboard — toggles the on-chart summary table
Position — sets the table's screen position
• Alerts
Action strings for Bull Cross, Bear Cross, Zero Cross Up/Down, Close Long/Short, and TP1/TP2/TP3/SL Hit — these populate the "action" field of each JSON alert payload, allowing the alerts to be mapped directly to webhook or automation logic
• Colors
Full palette control over bull/bear/neutral coloring, histogram tiers, dashboard styling, and all trade-level line and fill colors
🔍 Deconstruction of the Underlying Scientific and Academic Framework
● Rate of Change and the Coppock Curve
The foundation of this script is Edwin Coppock's original curve, published in Barron's in 1962, which sums a long-term and a short-term Rate of Change and smooths the result with a weighted moving average. Rate of Change itself is a first-order momentum measure — the percentage difference between the current value and its value N bars ago — rooted in the broader technical-analysis principle that the velocity of price change often leads price direction itself. Coppock's original design used a WMA specifically because it weights recent data more heavily than a simple average while remaining less reactive to single-bar noise than an exponential average.
● Weighted and Hull Moving Averages
The Weighted Moving Average used both in the final smoothing stage and optionally in the adaptive pre-filter assigns linearly decreasing weights to older data points, a technique long used to balance responsiveness against noise rejection. The Hull Moving Average, developed by Alan Hull, extends this idea by combining WMAs of different lengths in a way designed to reduce lag while preserving smoothness — a documented refinement of the general weighted-average family.
● Kalman Filtering
The Kalman Filter, originally developed by Rudolf Kálmán in the context of control and estimation theory, is a recursive algorithm for estimating an unknown value from a series of noisy observations. In this implementation, the filter maintains a running estimate and an error term, computes a Kalman gain from the ratio of predicted error to total error each bar, and updates the estimate by blending new price data in proportion to that gain. This gives the estimate more responsiveness when its own uncertainty is high and more smoothness when uncertainty is low — the same estimation principle underlying Kalman's original work, applied here to a single noisy input series rather than a multi-variable state system.
● Directional Movement and Trend Strength (Wilder)
The optional ADX filter is built on J. Welles Wilder's Directional Movement System, which derives +DI and -DI from directional price movement smoothed with Wilder's own moving average technique, then compresses their divergence into the Average Directional Index (ADX) as a bounded measure of trend strength independent of direction. Using ADX as a gating condition reflects the broader academic distinction between trend-following and mean-reverting market regimes — Wilder's system was explicitly designed to help separate the two.
● Average True Range and Volatility-Based Risk Sizing
Stop-loss and take-profit distances in this script are derived from Average True Range, also introduced by Wilder, which measures volatility by accounting for gaps as well as intraperiod range. Sizing risk as a multiple of ATR — rather than a fixed point or percentage value — is a widely documented approach in position-sizing literature because it scales stop distance to the instrument's actual recent volatility rather than an arbitrary constant.
● R-Multiples and Risk-Reward Structuring
The three-tiered take-profit structure expresses reward as a multiple of initial risk (an "R-multiple"), a framework popularized in trading risk-management literature to normalize outcomes across trades of different sizes and volatility regimes, allowing performance to be evaluated in terms of risk-adjusted return rather than raw price movement.
⚠️ 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. אינדיקטור
Volatility Regime Engine [TRADION]Volatility Regime Engine is a multi-layer market regime analysis framework designed to identify changes in volatility structure, expansion/compression cycles, directional pressure, and continuation quality.
Rather than treating volatility as a single measurement, the engine evaluates multiple dimensions of market behavior to determine whether price is transitioning into compression, expansion, continuation, exhaustion, or a potentially unstable regime.
The objective is not simply to detect high or low volatility, but to identify how volatility is evolving, whether directional participation supports the move, and whether the current regime has sufficient quality to persist.
CORE ARCHITECTURE
The engine combines several analytical components into a unified regime model:
Volatility Regime
Evaluates the current volatility environment and classifies market conditions according to contraction and expansion behavior.
Fast & Confirmed Scores
Two-stage scoring separates early regime detection from confirmed conditions.
The Fast Score reacts more quickly to developing volatility changes, while the Confirmed Score provides a more stable assessment of established conditions.
This architecture is designed to balance responsiveness with confirmation.
ATR Regime
Measures volatility behavior relative to the instrument's recent range structure, helping distinguish subdued conditions from elevated or extreme volatility environments.
Bandwidth Analysis
Tracks contraction and expansion in the underlying price distribution to identify volatility compression and developing expansion phases.
Relative Volume (RVOL)
Provides participation context by comparing current activity with its historical baseline.
Directional & Setup Bias
Evaluates whether the developing volatility structure favors bullish or bearish conditions.
Bull and Bear Setup Scores quantify the relative strength of each side, while Dominance summarizes the resulting directional imbalance.
Cycle Engine
The Cycle Bias and Cycle State components classify the current phase of the volatility cycle.
Possible conditions include developing ignition, expansion, continuation and exhaustion phases.
This allows the indicator to distinguish between a market that is merely volatile and one that may be entering a structured directional expansion.
Ignition Detection
Ignition logic searches for early evidence that volatility is beginning to transition from a dormant or compressed state into directional expansion.
Bull Ignition and Bear Ignition events are designed as regime-transition signals, not standalone trade entries.
Release Quality
When volatility begins to release, the engine evaluates the quality of that transition.
Release Quality, Quality Grade and Follow Through help determine whether an expansion is developing sufficient structural confirmation or losing momentum.
Macro Continuation
Continuation logic reduces repetitive signaling once a directional regime has already been established.
This allows the engine to distinguish between:
initial ignition,
confirmed release,
established continuation,
and potential exhaustion.
Higher-Timeframe Context
Higher-timeframe regime information is incorporated into the scoring architecture to determine whether the active regime is supported or opposed by broader volatility conditions.
The HTF Quality Modifier adjusts regime quality according to this alignment.
False Expansion Risk
Not every volatility expansion develops into a sustainable move.
The False Expansion Risk model evaluates contextual conditions that may indicate a weak or unstable expansion and classifies the risk accordingly.
This component is intended to provide an additional layer of caution when volatility increases without sufficient structural support.
VISUAL ENGINE
The lower oscillator provides a compact visualization of regime behavior.
Histogram structure represents changes in volatility state and regime intensity, while the accompanying momentum structure helps visualize directional pressure and developing transitions.
Background regime zones provide additional context for compression, expansion and directional phases.
Event markers highlight significant transitions such as:
BULL IGNITION
Potential bullish volatility ignition.
BEAR IGNITION
Potential bearish volatility ignition.
BULL RELEASE
Bullish expansion gaining confirmation.
BEAR RELEASE
Bearish expansion gaining confirmation.
EXHAUST
Potential exhaustion of an extended volatility phase.
Continuation states are intentionally filtered to reduce unnecessary signal repetition.
DASHBOARD
The integrated dashboard provides a real-time summary of the engine, including:
Regime
Fast Score
Confirmed Score
ATR Regime
Bandwidth State
RVOL
Direction
Setup Bias
Bull / Bear Setup
Dominance
Breakout Memory
Cycle Bias
Cycle State
Ignition Score
Macro Continuation
Release Quality
Quality Grade
Follow Through
HTF Regime
HTF Quality Modifier
Risk Adjustment
False Expansion Risk
Active Event
The dashboard is designed to provide a compact overview of the current volatility environment without requiring interpretation of every individual component.
HOW TO USE
Volatility Regime Engine is designed primarily as a market-context and regime-analysis tool.
It can be used to:
identify volatility compression before potential expansion,
detect early bullish or bearish ignition,
evaluate the quality of developing volatility releases,
distinguish expansion from established continuation,
identify potential exhaustion conditions,
compare directional setup strength,
evaluate higher-timeframe regime alignment,
and assess the risk of unstable or false expansion.
The indicator should not be interpreted as a mechanical buy/sell system. Signals represent changes in volatility structure and should be evaluated together with price action, market structure, trend context, support/resistance and appropriate risk management.
NON-REPAINTING DESIGN
The engine is designed around confirmed-bar calculations for signal generation. Historical signals are not intentionally repositioned after confirmation.
Higher-timeframe information is handled with confirmation-oriented logic to minimize look-ahead bias.
IMPORTANT
Volatility expansion does not necessarily imply bullish price movement. Expansion can occur in either direction.
The primary purpose of the engine is to determine when the volatility environment is changing, which side currently has structural dominance, and whether that transition has sufficient quality to develop into continuation.
Volatility Regime Engine is intended for technical analysis, research and educational purposes only. It does not constitute financial or investment advice. אינדיקטור
Wave-Ocean Trend Wave-Ocean Trend
Description
Wave-Ocean Trend is a momentum indicator based on a combination of Exponential Moving Averages (EMA), mean deviation, and Simple Moving Average (SMA).
The indicator is designed to help visualize market direction and momentum changes through the relationship between two waves:
* X1 — Aqua: the fast wave, designed to respond to changes in momentum.
* X2 — Orange: the smoothed wave, used as a reference for identifying changes in market momentum.
## How to Use
🌊 Bullish Crossover
When X1 (Aqua) crosses above X2 (Orange), an Aqua ball appears.
This event represents a potential shift in momentum to the upside and can be used as a reference when analyzing possible bullish movements.
🔻 Bearish Crossover
When **X1 (Aqua)** crosses below **X2 (Orange)**, a **red-orange ball** appears.
This event represents a potential shift in momentum to the downside and can be used as a reference when analyzing possible bearish movements.
Reference Zones
The indicator includes two main reference zones:
* Above +60: elevated momentum zone.
* Below -60: negative momentum zone.
* Between +60 and -60: intermediate momentum zone.
These zones should not be interpreted independently as automatic buy or sell signals. They are intended to provide additional context when evaluating momentum.
## X1-X2 Area
The area between X1 and X2 helps visualize the difference between the two waves:
* Green: X1 is above X2.
* Red: X1 is below X2.
A wider separation between the waves indicates a larger momentary difference between fast momentum and its smoothed reference.
Settings
The indicator has two main parameters:
Fast Wave ⚡ — Default: 10
Controls the responsiveness of the fast wave.
Slow Wave 🐌 — Default: 21
Controls the smoothing of the reference wave.
Lower values may make the indicator more responsive to market changes, while higher values generally produce a smoother reading.
Suggested Use
Wave-Ocean Trend can be used together with:
* Market structure
* Support and resistance
* Higher-timeframe trend
* Volume
* Price action
* Risk management
One possible approach is to identify the broader trend on a higher timeframe and then use Wave-Ocean Trend crossovers on a lower timeframe to evaluate momentum within that context.
Important
Wave-Ocean Trend is a **technical analysis tool and does not guarantee financial results.
No crossover should be considered, by itself, a recommendation to buy or sell. Signals may occur during consolidation, choppy markets, or periods of high volatility and should be evaluated within the broader market context.
Use proper risk management and perform your own testing before using the indicator in live trading.
אינדיקטור
Regime Gated Confluence Score [Pineify]Regime Gated Confluence Score
Overview
This pane indicator combines trend, momentum, and volume after a four-state gate selects meaning and weight. The main score and dashboard reconcile signed contributions.
Problem Definition
Fixed-weight confluence hides a regime error. Positive RSI may confirm a trend but mark extension in a range. EMA separation can persist after efficient travel ends. Relative volume shows participation, not acceptance. A permanent sum can stay strong when path efficiency is low, factors disagree, or ATR leaves its baseline, so users cannot tell whether magnitude reflects agreement or one dominant input.
Design Rationale
ATR-normalized EMA separation and slope measure trend across price scales. Centered RSI supplies momentum; RANGE reverses it to express a fade. Volume pressure combines capped relative volume with close location without claiming aggressor flow. EMA spread and path efficiency classify structure; ATR versus baseline identifies displacement. Lower hold thresholds add hysteresis. A trained model would add hidden data assumptions, while fixed weights preserve the failure. Explicit rules accept sensitivity and lag for auditability.
Key Features
Four regimes with hysteresis.
Standardized trend, RSI, and participation factors.
Regime weights, range inversion, missing-volume renormalization, conflict attenuation, exact contribution totals, and confirmed alerts.
How It Works
EMA spread and fast-EMA change are normalized by ATR, blended 65/35, and clipped to -1 through +1. RSI is centered at 50, divided by 25, and clipped. Volume multiplies close location inside the bar by relative volume capped at 2.5 times baseline, then smooths it. If fewer than 80% of volume-window bars are usable, volume is omitted.
Trend strength is absolute normalized EMA spread. Path efficiency divides net movement by total one-bar movement. ATR relative to baseline measures displacement. VOLATILE has priority until its lower hold level clears. Otherwise, strong separation and efficiency enter TREND, weak evidence enters RANGE, and unresolved evidence is TRANSITION.
Trend/momentum/volume weights are 55/30/15 in TREND, 15/60/25 in RANGE, 40/35/25 in VOLATILE, and 35/40/25 in TRANSITION. RANGE reverses only RSI. Missing volume removes its weight and renormalizes the others. Agreement divides absolute net contribution by total absolute contribution and sets a 0.55-to-1 gate; VOLATILE adds an ATR penalty. Gated components sum to the score. Warm-up or invalid threshold and EMA ordering blocks output with a diagnostic.
How Multiple Indicators Work Together
Trend estimates structure, momentum locates bounded pressure, and volume tests participation plus bar acceptance. The regime interprets them before combination. Without range inversion, extension becomes a continuation vote; without trend, brief momentum can dominate; without volume, weights must be renormalized. Agreement converts remaining conflict into lower magnitude rather than hiding it.
Trading Ideas and Insights
Use the score as context, not an order. A confirmed threshold cross during TREND identifies aligned conditions. In RANGE, check whether trend or volume opposes inverted momentum before considering a fade. In VOLATILE, a compressed gate shows ATR displacement discounting the raw sum. A strong component beside a modest total indicates conflict.
Unique Aspects
The contribution is the sequence of classification, interpretation change, weighting, and attenuation. RANGE reverses momentum while other factors can veto it; hysteresis separates trend entry from persistence; missing volume is removed; and agreement scales every component so the ledger equals the score. The halo shows magnitude, the background shows regime, and the table exposes construction.
How to Use
Start with defaults and compare the regime label with visible path behavior. Wait for warm-up. Keep the ledger visible to see whether structure, oscillator pressure, or participation drives direction. Use confirmed alerts when closing-state transitions matter. Contribution lines are diagnostic; the halo and background form the primary view. Omitted volume means a disclosed two-factor score.
Customization
EMA lengths and slope lookback control structural response; RSI length controls momentum sensitivity. Volume baseline and smoothing trade speed for stability. Regime length changes path efficiency and the ATR baseline. Entry thresholds must exceed hold thresholds. Raising the score threshold reduces alert frequency but does not establish better forecasting. Visual switches change display only.
Assumptions and Limitations
The script uses chart OHLC and reported volume. Exchange, tick, and absent volume differ; close-location volume is only a proxy. EMA, ATR, RSI, and rolling baselines lag. RANGE can fade a breakout, hysteresis can delay exits, and attenuation can suppress an early shock.
Realtime factors, regime, colors, and score can change before close; alerts require confirmation. No request calls, future data, pivots, or negative offsets are used. The script does not model liquidity, news, sizing, entries, stops, or exits. Thresholds do not establish expected return. Sparse bars and unreliable volume can distort evidence.
Conclusion
This replaces a fixed sum with an inspectable state process. The score and ledger show weights, conflict attenuation, and missing-data effects. Keep separate risk and execution rules.
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אינדיקטור
RC Tools - Divergence DetectorRC Tools — Divergence Detector
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█ OVERVIEW
Most divergence tools pattern-match swing highs and lows, which is finicky and often technically repaints — pivots can un-confirm as new bars form. This tool instead measures rolling correlation between price and a momentum oscillator of your choice. When price and momentum stop agreeing, that disagreement is the divergence — measured continuously, not detected as a one-off pattern.
█ WHAT IT DOES
Plots the rolling correlation between price and a selectable oscillator (RSI, MACD line, Rate of Change, or a custom source) on a -1 to +1 scale. Classifies each confirmed bar into one of three states — Confirmed Trend, Bearish Divergence, Bullish Divergence — colours the chart background accordingly, and shows a table with the current state, how long price has been in it, and historical base rates (average forward return and win rate) for each divergence state.
█ THE THEORY BEHIND IT
A genuine trend has price and momentum moving together — new highs accompanied by strengthening momentum, new lows by weakening momentum. When that relationship breaks down — price continues in one direction while the oscillator stops confirming it — that is a divergence. Rather than searching for specific swing-point patterns (which depend on exactly which pivots you pick and can shift as price continues), this tool asks the more direct statistical question: over the last N bars, how closely have price and the oscillator actually moved together? A strong positive correlation means they agree. A correlation that has dropped toward zero or negative means they have stopped agreeing, regardless of what any single pivot looks like.
█ HOW IT IS CALCULATED
1. Compute the selected oscillator: RSI, MACD line (fast EMA minus slow EMA), Rate of Change %, or a custom source you provide.
2. Compute the rolling Pearson correlation between price (close) and the oscillator over a configurable window (default 14 bars).
3. If that correlation falls below a threshold (default 0.0), price and momentum are no longer confirming each other — a divergence state.
4. The divergence is labelled Bearish if price has been rising over a short lookback (momentum failing to confirm continued strength) or Bullish if price has been falling (momentum failing to confirm continued weakness).
Classification occurs ONLY on confirmed bar close — the state and the displayed correlation are computed and committed together, so they can never disagree mid-bar or flip back and forth as the current bar forms.
█ SETTINGS & CONFIGURATION
• Oscillator (default RSI) — RSI / MACD Line / Rate of Change % / Custom Source
• RSI / MACD / Rate of Change lookbacks (defaults 14 / 12+26 / 20)
• Correlation Window (default 14 bars) — how far back the co-movement is measured
• Divergence Threshold (default 0.0) — the correlation level below which price and momentum are considered to have stopped agreeing
• Price Direction Lookback (default 5 bars) — used only to label a divergence bullish or bearish
• Forward Return Window (default 20 bars) — the horizon used for the base-rate table
• Paint Main Chart Background — toggle off if you only want the correlation pane
█ HOW TO USE IT
Use it as a warning flag on an existing trend read, not as a standalone entry signal. Example: if you're long into a rally and the background flags Bearish Divergence, that's a cue to tighten risk management or look for confirmation elsewhere before assuming the move continues unchecked — it is not, by itself, a sell signal. Check the base-rate table's sample count before treating any single divergence reading as meaningfully predictive.
Works on any asset and timeframe with sufficient history for the correlation window.
█ LIMITATIONS
• Divergence describes a PRESENT disagreement between price and momentum. It does not predict a reversal, and any use of it as a forecast is a misuse.
• Correlation is measured over a rolling window and is noisy by nature — expect it to cross the threshold repeatedly in choppy, range-bound conditions.
• The oscillator itself is not plotted, only its correlation with price — this keeps the pane on one consistent scale regardless of which oscillator is selected (RSI is bounded 0-100, MACD line is unbounded, etc.).
• The bullish/bearish label depends on a short price-direction lookback, which can flip near genuine turning points independently of the correlation reading itself.
• Historical base-rate stats need a meaningful sample count (check N) before being trusted, especially for less common states.
• This script does NOT repaint. All classification updates on confirmed bar close only.
█ DISCLAIMER
For educational and informational purposes only. Nothing here is financial advice. Past behaviour of any divergence state does not indicate future results. Trade at your own risk.
אינדיקטור
ADX / DMI(+)(-) TRENDICATOR## Draft Description
**ADX / DMI(+)(-) TRENDICATOR** is a responsive trend-strength and directional-momentum indicator designed to complement an **8 EMA / 20 EMA trading system**.
It combines:
- **ADX** to measure trend strength
- **DI+** to measure bullish directional pressure
- **DI−** to measure bearish directional pressure
- **20 and 40 ADX levels** to identify developing and strong trends
- **Angel Crosses** when DI+ crosses above DI−
- **Death Crosses** when DI− crosses above DI+
- Confirmed-candle alerts designed to avoid intrabar repainting
The default calculation settings use an **8-period DI length** and **8-period ADX smoothing** for a faster response to recent price candles. All calculation settings remain adjustable for different markets and timeframes.
The indicator includes customizable:
- ADX, DI+, and DI− visibility
- ADX and DI line widths
- Line, stepline, and circle plot styles
- Indicator colors
- Horizontal level visibility and styles
- ADX alert threshold
- Directional DI fill
Use ADX to determine whether a market is trending, then use DI+ and DI− to identify the dominant directional pressure. For example, a bullish EMA alignment combined with DI+ above DI− and ADX above 20 may indicate strengthening bullish momentum.
## How It Differs From Typical ADX/DMI Indicators
### 1. Confirmed-candle behavior
Many indicators react to changing intrabar values, causing temporary crosses or signals that can disappear before the candle closes. This indicator commits ADX, DI+, and DI− values only after candle confirmation, helping prevent intrabar signal repainting.
### 2. Designed for faster EMA-based systems
The default **8/8 settings** are intended as a responsive starting point for an **8 EMA / 20 EMA trend system**, rather than relying exclusively on the traditional slower 14/14 settings.
### 3. Clearer trend-strength framework
The fixed **20 and 40 levels** provide a simple visual framework:
- Below 20: weak or ranging conditions
- Above 20: trend development or moderate strength
- Above 40: strong trend conditions
### 4. More complete customization
Instead of only changing colors, users can control visibility, line widths, plot styles, level styles, and directional fills directly from the settings panel.
### 5. Expanded alert system
The indicator includes confirmed alerts for:
- Angel Crosses
- Death Crosses
- ADX crossing above or below 20
- ADX crossing above or below 40
- ADX crossing the custom alert threshold
### 6. Direction and strength are separated
Unlike systems that treat ADX as a buy or sell signal, this indicator keeps the concepts separate:
- **ADX = strength**
- **DI+ / DI− = direction**
- **8 EMA / 20 EMA = trend structure**
This helps reduce the common mistake of interpreting a rising ADX alone as a bullish signal. אינדיקטור
QQE Trend Confluence [MarkitTick]💡 A dual-engine QQE (Quantitative Qualitative Estimation) confluence oscillator that layers eight selectable pre-smoothing algorithms, a secondary confirmation QQE pair, ADX and higher-timeframe bias gating, and a fully automated ATR-based trade planner with webhook-ready alert payloads on top of the classic Wilder RSI-trailing-stop concept.
✨ Originality and Utility
This script does not simply reproduce the stock QQE oscillator. It restructures the calculation into a layered decision pipeline where a signal only qualifies after passing through several independent, user-toggleable filters, turning a single momentum flip into a multi-factor confluence check.
The source price is first routed through a selectable pre-smoothing stage offering eight distinct algorithms, ranging from classic moving averages to a proprietary slope-projection method and a recursive Kalman estimator, before it ever reaches the QQE math. This changes the responsiveness and noise profile of every signal generated downstream.
A second, independently parameterized QQE instance runs in parallel purely as a confirmation gate, meaning a raw crossover on the primary pair is discarded unless a slower QQE pair already agrees with its direction.
An ADX/DMI strength filter and a non-repainting higher-timeframe bias filter can each independently veto a signal, so traders can require trend strength and multi-timeframe agreement without writing their own confluence logic.
The script goes beyond signal generation into trade management: a built-in ATR trade planner converts a qualifying cross into a full stop-loss and three-tiered take-profit plan, drawn directly on the chart and tracked bar by bar.
A structured JSON alert payload system is built into every signal and trade-management event, making the tool usable as the signal engine for an external automation or webhook pipeline without any manual message formatting.
The combination of these components is deliberate rather than incidental: the pre-smoothing stage shapes what "signal" means, the dual-QQE and filter stack decides which of those signals are trustworthy, and the trade planner and alert system decide what to do once a signal is accepted. Removing any one layer would leave a materially different and less complete tool, which is why they are published together as a single confluence system rather than as separate scripts.
🔬 Methodology and Concepts
• Adaptive Pre-Smoothing Engine
Before the source price reaches the QQE engine, it can optionally be passed through one of eight smoothing or prediction methods, selectable from a dropdown. This determines how "clean" or "responsive" the underlying momentum reading is.
Simple, Exponential and Wilder (RMA) moving averages behave as their standard definitions.
A double weighted moving average applies a WMA to the result of a first WMA pass, compounding the weighting effect for extra lag reduction.
A triple volume-weighted moving average chains three successive VWMA passes, folding volume into the trend estimate at each stage.
The Hull Moving Average uses the standard weighted-difference technique to reduce lag relative to a simple weighted average.
The proprietary LLAMA method computes a simple moving average baseline over the lookback window, then measures the linear slope of price across that same window (the difference between the current source and the value from "length" bars back, divided by length). That slope is then projected forward by half the lookback length and added to the SMA baseline. The practical effect is a moving average that leans ahead of price during a steady trend and collapses back toward a standard SMA when price is flat or choppy.
The Kalman Filter option treats the source price as a noisy observation of an underlying "true" trend state. It maintains an internal estimate and error variance, computes a Kalman gain each bar from a length-derived process-noise assumption and a fixed measurement-noise assumption, and blends the new price observation into the estimate proportionally to that gain, producing a smoothing curve that adapts its own responsiveness over time.
• Dual QQE Core
The QQE concept itself works by smoothing an RSI reading with an EMA, then measuring the average magnitude of bar-to-bar changes in that smoothed RSI (a Wilder-style double-smoothed "ATR of RSI"), and multiplying it by a factor to build a trailing envelope around the smoothed RSI line. This trailing level only moves in the direction the RSI is already travelling and locks in place, ratchet-style, whenever RSI reverses, similar in spirit to a classic ATR trailing stop but applied in RSI space rather than price space. A cross of the smoothed RSI over or under this trailing level marks a momentum shift. This script runs two such QQE instances simultaneously: a faster primary pair that generates the raw crossover, and an optional slower secondary pair whose sole purpose is confirmation, a signal from the primary pair is only accepted if the secondary pair's RSI-to-trail relationship already agrees with the same direction.
• Confirmation Filters
An optional ADX/DMI filter, built on Wilder's Average Directional Index, requires trend strength to be above a user-defined threshold before a signal is allowed through, filtering out crosses that occur during flat, directionless conditions.
An optional higher-timeframe bias filter pulls the same QQE relationship (smoothed RSI versus trailing level) from a user-selected higher timeframe and requires it to agree with the direction of the current-timeframe signal. This request is built using the previous, already-confirmed value on the higher timeframe combined with lookahead-on merging, which is the standard non-repainting pattern for higher-timeframe data: the value shown on any historical bar is the same value that would have been available to a trader watching in real time.
• ATR-Based Trade Planner
Once a signal clears every enabled filter, the script computes a stop-loss using the 14-period Average True Range multiplied by a user-defined multiple, anchored to the prior bar's close. Three take-profit levels are then derived from that risk distance using independently configurable risk:reward ratios. These levels are drawn as extending price lines with labels and shaded risk/reward zone fills, and the script continuously checks, bar by bar, whether price has touched each take-profit or the stop-loss, retiring the plan once the final target or the stop is hit. A lock control can freeze the currently displayed plan so it does not get replaced by a new signal while a trade is being managed.
• Signal Confirmation Behavior
The crossover state that drives every signal is always evaluated using the prior, already-completed bar's smoothed RSI and trailing-level relationship rather than the still-forming current bar. In practical terms, this means a BULL or BEAR marker only ever prints once the underlying cross is confirmed, and it does not shift position or disappear on subsequent price updates within the same bar.
• Automation-Ready Alerts
Every entry, exit, and trade-management event (long entry, short entry, close-long, close-short, and each of the three take-profit levels plus stop-loss) is wrapped in its own alert condition and also emits a structured JSON message through a single dynamic alert call, gated to fire only once per confirmed bar close for entries. Each JSON message includes the instrument, timeframe, and an editable action keyword, allowing the same signal engine to be wired directly into an external automation or webhook workflow.
🎨 Visual Guide
In the indicator's own pane: the blue RSI MA line is the primary smoothed-RSI reading, the yellow Smoothed Trail line is its dynamic trailing envelope, and the histogram plotted around the zero line reflects the distance between the two, colored teal on the bullish side and red on the bearish side.
Dashed reference lines at 70 and 30 mark overbought and oversold RSI zones with a light shaded fill between each level and the 50 midline when enabled.
On the price chart itself: candles can be recolored using a four-tone scheme, strong bullish teal and weak bullish dark teal, or strong bearish red and weak bearish dark red, with a neutral gray used whenever the current QQE distance is smaller than its own running average, giving an at-a-glance read on momentum strength as well as direction.
BULL and BEAR labeled arrows print just below or above the triggering candle whenever a fully confirmed signal fires.
When trade levels are enabled, dashed lines and small labels for the stop-loss, entry, and three take-profit levels extend to the right from the signal bar, with the area between entry and stop shaded as a risk zone and the area between entry and the furthest target shaded as a reward zone.
An optional multi-row dashboard panel, placeable in any chart corner, summarizes the instrument and timeframe, lock status, current bias, the raw RSI MA and Trail Level values, an ASCII progress-bar style RSI strength meter, the secondary confluence state, the higher-timeframe bias, the ADX reading and pass/fail color, the currently active pre-smoothing method, the ATR value, the DI+/DI- readings, a momentum strength bar, and the active trade's direction and price levels.
📖 How to Use
Treat a BULL or BEAR arrow as the point where every enabled filter, the primary cross, the secondary QQE confirmation, the ADX gate, and the higher-timeframe bias, has already agreed on a direction.
Use candle color intensity and histogram height as a secondary read on how strong the current momentum reading is relative to its own recent average, rather than as a standalone signal.
Scan the dashboard's Bias, Confluence, and HTF Bias rows for a fast multi-factor summary without needing to inspect the oscillator pane directly.
Enable the trade levels option to have the script draw a stop-loss and three take-profit targets automatically on each qualifying signal, and use the lock control to freeze that plan in place while managing an open position.
Adjust the ATR stop multiple and the three risk:reward ratios to match your own risk tolerance before relying on the drawn levels.
For automation, create a TradingView alert using the "Any alert() function call" option to receive the full JSON payload stream, or use the individual named alert conditions if only a single event type is needed.
This tool is a momentum and confluence framework, not a complete trading system on its own. Combine it with your own market structure, support/resistance, or volatility context before acting on any signal.
⚙️ Inputs and Settings
Core Settings: RSI Length and RSI EMA Smoothing control the primary QQE's momentum lookback and responsiveness; QQE Factor scales how wide the trailing envelope sits from the smoothed RSI; Source selects the price series feeding the whole calculation; the secondary QQE toggle, along with its own EMA smoothing and factor, controls the confirmation pair.
Filters: the ADX toggle, length, and threshold control the trend-strength gate; the Adaptive Filter dropdown and length select which of the eight pre-smoothing methods (including LLAMA and the Kalman Filter) is applied to price before the QQE math runs; the HTF filter toggle and timeframe control the higher-timeframe bias confirmation.
Trade Tools: toggles for showing trade levels and locking the current signal, an ATR multiple for stop-loss distance, and three independent risk:reward ratios for the three take-profit targets.
Visuals: independent toggles for the overbought/oversold zone fill, the histogram, the crossover arrows, and the color-matched candles.
Dashboard: a toggle to show or hide the panel and a dropdown to choose which chart corner it docks to.
Alerts: editable text fields defining the action keyword sent in the JSON payload for each of the eight tracked events, letting the output match whatever automation platform is receiving it.
Colors: a full set of color pickers covering the oscillator lines, histogram, zones, arrows, candle tones, trade-planning lines and fills, and dashboard styling, purely cosmetic and with no effect on calculations.
🔍 Deconstruction of the Underlying Scientific and Academic Framework
The foundation of the oscillator is J. Welles Wilder Jr.'s Relative Strength Index and his broader family of smoothed volatility and trend-strength tools, including the Average True Range concept and the Average Directional Index used here as an optional filter.
The QQE structure itself extends Wilder's trailing-stop logic, normally applied to price, into RSI space: an ATR-style measure of RSI's own volatility is used to build a ratcheting trailing envelope around the smoothed RSI line, conceptually related to other ATR-trailing-stop tools such as Chandelier Exit or SuperTrend but operating on a momentum oscillator rather than raw price.
The Hull Moving Average option is built on Alan Hull's weighted-difference technique for reducing the inherent lag of weighted moving averages.
The LLAMA pre-smoothing option applies a basic linear extrapolation principle, projecting a simple moving average forward using the measured slope of price across the same lookback window, a lightweight analogue of trend-extrapolation methods used in linear regression forecasting.
The Kalman Filter option is a direct application of Rudolf Kálmán's recursive estimation framework, treating price as a noisy observation of an unobserved underlying trend state and updating that estimate bar by bar using a dynamically computed gain, a technique widely used in modern adaptive filtering and signal processing.
The ATR trade planner applies standard volatility-based position planning, using a multiple of Average True Range to size a stop distance and deriving profit targets from fixed risk:reward multiples of that same distance.
⚠️ 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. אינדיקטור
אינדיקטור
Multi-MA Trend Ribbon [MarkitTick]💡 A fully adaptive moving-average ribbon that lets you choose from 30 different smoothing algorithms — from classic SMA/EMA to advanced adaptive filters like Kalman, JMA, KAMA, and a custom volatility-responsive method called LLAMA — then builds a multi-line, gradient-colored trend ribbon out of that single chosen method across up to 8 progressively longer lengths. Layered on top is an optional multi-timeframe bias filter, an ADX strength gate, a volume confirmation gate, webhook-ready JSON alerts, and a live diagnostic dashboard.
✨ Originality and Utility
Most ribbon-style indicators on the platform hard-code a single averaging method (usually EMA or HMA) and stack a handful of fixed lengths on the chart. This script takes a different approach: it treats the "ribbon" as a generic container and the "moving average type" as a fully interchangeable engine, with 30 distinct algorithms available from a single dropdown, all built from first principles (not by calling a bundle of pre-packaged libraries). Because every ribbon line is generated by the same underlying function at different lengths, switching the MA Type instantly re-renders the entire ribbon in the new smoothing style, giving traders a single tool to compare how trend-following behaves under drastically different mathematical assumptions (linear vs. exponential weighting, adaptive vs. fixed responsiveness, zero-lag vs. standard lag) without switching indicators.
The script's originality centers on three custom-built components not found in standard built-ins:
A proprietary adaptive length mechanism ("LLAMA") that dynamically expands or contracts each ribbon line's effective lookback based on a short-term directional forecast, rather than using a static length.
A dual-RSI-divergence-weighted directional predictor that feeds that adaptive length engine.
A from-scratch implementation of less commonly available filters (Kalman, JMA, FRAMA, T3, McGinley, Super Smoother) that are not native Pine built-ins, giving traders access to algorithms usually reserved for institutional charting platforms or custom research code.
The mashup of a trend ribbon, a confluence filter stack (ADX + HTF + Volume), and a webhook alert system is justified because these three layers solve three different practical problems traders face together: identifying trend direction (ribbon), avoiding low-quality signals in choppy or thin conditions (filters), and automating execution (alerts) — components that are commonly used in sequence by discretionary and systematic traders alike, making their integration into one tool a genuine workflow simplification rather than an arbitrary bundling.
🔬 Methodology and Concepts
● Core Ribbon Construction
The script computes eight moving averages of the same source (default: close) at lengths that increase by a fixed step from a base length. For example, with a Base of 20 and a Step of 10, the eight lengths used are 20, 30, 40, 50, 60, 70, 80, and 90. The fastest line (MA1) and the slowest visible line (determined by the Lines setting) are compared: when the fast line sits above the slow line, the ribbon is considered to be in a bullish regime; when below, bearish. All eight lines are generated by the exact same averaging function, so the "shape" of the ribbon (how tightly or loosely the lines fan out) becomes a visual proxy for trend strength and consistency across time horizons.
● Selectable Smoothing Engine
The Type input lets you choose the mathematical method used to compute every single line in the ribbon simultaneously. The available families are:
Classic weighted averages: SMA, EMA, RMA (Wilder's smoothing), WMA, Triangular (TRIMA), Volume-Weighted (VWMA), and their double/triple-smoothed variants (DWMA/TWMA, DVWMA/TVWMA) which apply the same weighting function recursively to reduce lag-vs-noise trade-offs.
Zero/reduced-lag filters: Hull MA (HMA) and its extended variants EHMA and THMA, DEMA and TEMA (double/triple exponential smoothing, per Patrick Mulloy's original error-correction concept), and ZLEMA (zero-lag EMA using a momentum-shifted input).
Adaptive/volatility-responsive filters: KAMA (Kaufman's Adaptive MA, which speeds up or slows down based on an efficiency ratio of net movement to total movement), VIDYA (Chande's Variable Index Dynamic Average, which scales its responsiveness using Chande Momentum Oscillator readings), FRAMA (Ehlers' Fractal Adaptive MA, which estimates a fractal dimension from recent high/low ranges to adjust smoothing), and JMA (a Jurik-style adaptive filter using a two-stage predictive/corrective recursive structure).
Specialized/legacy filters: T3 (Tillson's six-pole exponential blend using a volume factor to control overshoot), McGinley Dynamic (a self-adjusting average that speeds up during fast markets and slows down during consolidation via a ratio-based denominator), ALMA (Arnaud Legoux MA, a Gaussian-weighted average with adjustable offset and smoothness), LSMA (least-squares linear regression endpoint), SWMA (a fixed symmetric 4-bar weighted average), Median, and SSF (a two-pole Super Smoother Filter using an Ehlers-style recursive IIR design).
Proprietary adaptive engine — LLAMA: A custom exponential filter whose smoothing constant is derived not from a fixed length, but from a dynamically computed effective length (see below).
• LLAMA and the Directional Predictor
LLAMA (the script's custom adaptive method) works in two stages. First, a directional forecast is built from two RSI readings (14-period and 28-period). Over a lookback window, each prior bar is scored by how closely its RSI signature matches the current bar's RSI signature (using a log-distance similarity weighting), and that similarity is used to weight whether price rose or fell on that historical bar. The weighted average of those historical outcomes produces a forecast value between -1 (strongly bearish precedent) and +1 (strongly bullish precedent). Second, that forecast value is used to stretch or compress each ribbon line's effective length within a configurable percentage range around its base length — a stronger bullish or bearish forecast pushes the effective length toward one end of the range, changing how reactive that specific line is to new price action. This effective length is then converted into a standard exponential smoothing constant to produce the final LLAMA value. The result is a moving average that behaves less like a fixed-parameter tool and more like a filter that continuously recalibrates its own sensitivity based on recent directional evidence.
● Trend Signals
Two categories of signals are generated:
Ribbon Flips: Triggered when the relationship between the fastest line and the slowest visible line changes state (fast crosses from below to above the slow line, or vice versa), using confirmed prior-bar values to avoid intrabar flicker.
Price Crosses: Triggered when price itself crosses the fastest ribbon line (MA1), independent of the broader ribbon state, offering an earlier but noisier entry cue.
● Confluence Filters
Three optional, independently toggleable filters can be layered onto both signal types to suppress low-quality triggers:
ADX Strength Filter: Requires Wilder's Average Directional Index (calculated via the standard DMI/ADX formula) to be above a minimum threshold before a signal is allowed to fire, filtering out signals generated during weak or range-bound conditions.
Higher-Timeframe Bias Filter: Recomputes the entire ribbon logic (fast MA vs. slow MA) on a user-selected higher timeframe and requires the current-timeframe signal to agree with that higher-timeframe bias before firing. This uses a confirmed prior-bar value pulled via request.security() with lookahead explicitly enabled on historical (already-closed) data only, so no future information leaks into the calculation.
Volume Confirmation Filter: Requires the prior bar's volume to exceed a multiple of its recent average volume, ensuring signals are backed by above-average participation rather than occurring on thin, low-conviction bars.
🎨 Visual Guide
Ribbon Lines (MA1–MA8): Up to eight plotted lines, one per configured length, colored on a gradient. When Trend Col is enabled, the gradient runs between your chosen Bull and Bear colors depending on the current trend state; when disabled, it instead runs between the Fast and Slow colors you've set, regardless of trend direction.
Ribbon Fill: The semi-transparent shaded area between each consecutive pair of ribbon lines, colored to match the current trend (bull or bear color) with adjustable transparency via the Fill Transparency setting. A tightly compressed, thin fill indicates the ribbon lines are converging (potential consolidation or transition); a wide, expanded fill indicates strong trend separation.
Bull/Bear Flip Markers: Small triangle shapes below or above the bars marking the exact bar where a confirmed Ribbon Flip occurred — an upward triangle in your Bull color for bullish flips, a downward triangle in your Bear color for bearish flips.
Heatmap Candles (optional): When enabled, replaces standard candle coloring with your chosen Bull/Bear body and border colors based on the ribbon's current trend state, turning the entire chart into an at-a-glance trend heatmap.
Dashboard Table: An on-chart panel (position configurable) summarizing, in real time: signal lock status, current bias, active MA type and lengths, a visual bar-graph readout of the number of active ribbon lines, the fast and slow MA values, the current spread between them, the LLAMA directional prediction strength, the most recent flip direction, the most recent price cross direction, how many filters are currently active, the live ADX reading, the +DI/-DI values, the current volume ratio versus average, and the higher-timeframe bias state.
📖 How to Use
Use the overall ribbon color and fill (bull color vs. bear color) as your primary trend read: a consistently bull-colored, moderately expanded ribbon suggests sustained upward momentum, while contraction or color-flipping suggests indecision.
Treat triangle Flip markers as your core trend-change signal — they only appear once the flip has been confirmed on a closed bar, and (if filters are enabled) only after passing your chosen strength, HTF-agreement, and volume conditions.
Treat Price Cross events (visible in the dashboard's "Price Cross" row) as a faster, more aggressive alternative entry cue for traders who want to react before a full ribbon flip occurs, understanding this comes with a higher likelihood of false signals.
Enable the Lock Signal option to freeze the current bias and temporarily suspend new signal generation — useful when you want to hold a view steady while manually reviewing a setup instead of reacting to every subsequent flip.
Watch the dashboard's Filters and individual ADX / Vol Ratio / HTF Bias rows to understand in real time why a signal is or is not being permitted to fire.
Consider combining a slower Type (e.g., RMA, T3, or a longer-length adaptive filter) for the overall bias with faster Price Cross signals for tactical entries within that bias.
⚙️ Inputs and Settings
Type: Selects which of the 30 supported averaging methods is used to build every line in the ribbon.
Src: The price source fed into all calculations (default: close).
Base / Step: Base sets the length of the fastest ribbon line; Step sets the length increment applied to each subsequent line. Together they define the full spread of lengths across the ribbon.
Shift: Applies a horizontal bar offset to all plotted ribbon lines. A non-zero value shifts the visual plot forward or backward relative to price and does not alter the underlying calculation.
Lines: Sets how many of the eight possible ribbon lines are displayed (2–8), which also determines which line is treated as the "slow" reference line for bias and flip calculations.
ALMA Off / ALMA Sig, T3 Vf, KAMA Fast / KAMA Slow, JMA Phase / JMA Pow, Kal Q / Kal R, LLAMA LB / LLAMA Rng: Method-specific tuning parameters that only take effect when the corresponding Type is selected — these control offset/smoothness for ALMA, volume factor for T3, the fast/slow efficiency bounds for KAMA, phase/power for JMA, process/measurement noise for Kalman, and lookback/range for the custom LLAMA engine.
ADX / HTF / Vol toggles and their sub-settings: Independently enable and configure the three confluence filters described in the Methodology section (strength threshold and length for ADX, target timeframe for HTF, lookback length and multiplier for Volume).
Lock Signal: Freezes the currently displayed bias and suppresses new flip/cross signals until disabled.
Trend Col / Fill / Fill Transparency / Width / Bars / Signals: Visual controls for whether ribbon coloring reflects trend state, whether the fill between lines is shown and how transparent it is, line thickness, whether heatmap candles are shown, and whether flip markers are plotted.
Dashboard Show / Position: Toggles the on-chart dashboard and sets its screen position.
Alert toggles and Action fields: Enable/disable Flip-based and Cross-based alerts independently, and customize the text string sent in each alert's JSON payload for long entry, short entry, close-long, close-short, cross-up, and cross-down events — designed to be dropped directly into webhook-based automation.
⚠️ Confirmation Lag Notice
The Shift input allows ribbon lines to be plotted with a backward or forward bar offset relative to the current price bar. When a non-zero Shift value is used, what you see plotted at a given bar's x-position does not represent that bar's actual calculated value in real time — always verify the Shift setting is at its default (0) if you intend to use the ribbon for real-time signal interpretation, and be aware that a non-zero offset can visually misrepresent how early or late a line's response to price actually was.
🔍 Deconstruction of the Underlying Scientific and Academic Framework
This script draws on several distinct threads of technical and quantitative theory:
Classical trend-following theory: The core "fast MA vs. slow MA" bias mechanism traces back to Dow Theory's premise that trend direction can be inferred by comparing price behavior across different time horizons — approximated here by comparing smoothed averages of different lengths rather than raw price.
Exponential smoothing and digital filter theory: Methods like EMA, DEMA, TEMA, and ZLEMA build on Patrick Mulloy's work on reducing the inherent lag of exponential moving averages through cascaded and momentum-adjusted smoothing, itself grounded in classical infinite impulse response (IIR) filter design from signal processing.
Adaptive filter theory: KAMA (Kaufman), VIDYA (Chande), and FRAMA (Ehlers) all apply the same broader principle from adaptive control theory — that a filter's time constant should not be fixed but should respond to a real-time measurement of market "efficiency" or "noise," whether measured via a directional efficiency ratio, momentum oscillator magnitude, or fractal dimension of price geometry.
State-space estimation theory: The Kalman filter option applies the classical Kalman filtering framework from control and estimation theory — treating the true underlying trend as a hidden state to be recursively estimated from noisy price observations, balancing a process-noise parameter (how much the true state is expected to drift) against a measurement-noise parameter (how much to trust each new observation).
Fractal market theory: FRAMA's dimension calculation is grounded in Mandelbrot's fractal geometry concepts as adapted by John Ehlers, using the scaling relationship between price range measured at different resolutions to infer whether the market is behaving more like a trending (lower fractal dimension) or random-walk (higher fractal dimension) process.
Directional Movement / trend strength theory: The ADX filter implements Welles Wilder's original Directional Movement System, which decomposes price movement into positive and negative directional components and derives a smoothed strength index from their divergence.
Weighted similarity / kernel-based forecasting: The custom LLAMA predictor's weighting scheme is conceptually related to kernel-weighted (locally weighted) regression and nearest-neighbor forecasting methods, in which historical observations are weighted by their similarity to current conditions (here, measured via RSI-signature distance) rather than treated with uniform recency weighting.
⚠️ 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. אינדיקטור
RS Leader - Early Breakout RadarRS Leader - Early Breakout Radar identifies stocks demonstrating exceptional relative strength before a conventional price breakout occurs.
The indicator compares the current symbol with a selectable market benchmark, using SPY by default. It searches for situations in which the relative-strength ratio is near a long-term high while the stock remains in a tight consolidation beneath its previous price high. This combination can help identify securities outperforming the broader market before that leadership becomes obvious from price alone.
RS Leader is different from the RSI oscillator. Its relative-strength calculation is:
Stock Price ÷ Benchmark Price
RS Leader Score
Each stock receives a dynamic score from 1 to 100:
• Relative-strength leadership: 40 points
• Proximity to the breakout level: 20 points
• Price-range contraction: 15 points
• Moving-average structure: 15 points
• Volume behavior: 10 points
A default minimum score of 70 is required before an RS Leader signal can appear. All requirements and scoring thresholds can be adjusted in the indicator settings.
Signal Interpretation
• Blue RS LEADER label: Relative strength is near a long-term high while price remains tightly consolidated below resistance.
• Blue line: The nearby price level that must be exceeded for a potential breakout.
• Green BREAKOUT label: Price closed above the prior resistance level following an active RS Leader setup.
• Blue background shading: Optional highlighting of bars that currently satisfy the complete setup.
Dashboard Colors
• Green: Condition is favorable or confirmed.
• Blue: An active RS Leader setup meets the minimum score.
• Orange: Condition is developing, neutral or requires caution.
• Red: Condition is not currently satisfied.
The dashboard displays the current RS Leader Score, relative-strength status, distance from the price high, consolidation width, moving-average alignment, relative volume and selected benchmark.
The indicator uses confirmed closing-bar information and does not intentionally use future data. Signals can still fail, and historical relationships do not guarantee future results. Relative strength may deteriorate, apparent breakouts may reverse, and market or company-specific events can materially affect price behavior.
RS Leader is provided solely for educational and informational purposes. It does not constitute investment advice, a recommendation to buy or sell any security, or a guarantee of future performance. Users should independently evaluate market conditions, liquidity, earnings dates, volatility and personal risk tolerance before making any financial decision. אינדיקטור
אינדיקטור
ATR Deviation OscillatorATR Deviation Oscillator
The ATR Deviation Oscillator is a simple ATR-based volatility, price deviation, and market momentum indicator that measures how far price has moved away from its moving average, normalized by Average True Range (ATR).
Instead of using raw price distance, it shows the deviation in ATR units, making it easier to identify price expansion, volatility, trend strength, momentum, overextension, and potential mean-reversion areas across different market conditions.
How It Works
The core calculation is:
(Price - Moving Average) / ATR
This produces a normalized oscillator centered around zero.
0 — Price is at the moving average.
Positive values — Price is above the baseline.
Negative values — Price is below the baseline.
+1 / -1 ATR — Price is approximately 1 ATR from the baseline.
+2 / -2 ATR — Price is approximately 2 ATR from the baseline.
+3 / -3 ATR — Price is approximately 3 ATR from the baseline.
ATR Deviation Levels
The 1, 2, and 3 ATR levels help visualize how extended price is relative to its current volatility.
Higher readings can indicate strong price momentum, trend expansion, volatility expansion, or overextension.
Lower readings can indicate downside momentum, trend weakness, volatility expansion, or potential oversold/mean-reversion conditions.
These levels are not fixed percentage thresholds. They automatically adapt to current market volatility through ATR.
Moving Average Options
Choose from:
SMA — Simple Moving Average
EMA — Exponential Moving Average
RMA — Relative Moving Average
WMA — Weighted Moving Average
VWMA — Volume Weighted Moving Average
This allows the oscillator to be adapted to different trading strategies, market conditions, timeframes, and instruments.
What You Can Use It For
The ATR Deviation Oscillator can help with:
ATR volatility analysis
Price deviation analysis
Trend strength
Momentum analysis
Market overextension
Mean reversion
Volatility expansion
Breakout analysis
Pullback analysis
Moving average distance
Price momentum
Trend continuation
Potential reversal zones
Overbought and oversold conditions
Market regime analysis
The indicator can be useful for Forex, Gold, Crypto, Stocks, Indices, Futures, and other liquid markets.
Important
The ATR Deviation Oscillator is a market analysis tool, not a standalone buy or sell signal. Extreme deviation does not automatically mean price will reverse. Strong trends can remain extended for long periods.
Use the oscillator together with price action, market structure, trend analysis, support and resistance, volatility, and your existing trading strategy. אינדיקטור
Adaptive Composite Oscillator (ACO)Adaptive Composite Oscillator (ACO)
A momentum oscillator that adapts its own lookback length, normalization bands, and signal logic to current market conditions, rather than relying on the fixed parameters and fixed 70/30-style bands used by traditional oscillators like RSI or Stochastic.
How it works
1. Adaptive lookback. The effective momentum length shortens when recent volatility (ATR relative to its own average) is elevated, and lengthens when volatility is calm. The oscillator speeds up in choppy or volatile stretches and slows down in quiet ones, instead of using one fixed period regardless of context.
2. Manual adaptive RSI. Pine's built-in ta.rsi() requires a fixed length, which a bar-by-bar adaptive length can't satisfy. So the RSI is built manually with a Wilder-style recursive average whose smoothing factor is derived from the adaptive length on every bar — same underlying math as RSI, just computed in a way that tolerates a variable length.
3. KAMA-style smoothing. The raw adaptive RSI is passed through a Kaufman Adaptive Moving Average-style filter, using an efficiency ratio between fast and slow EMA constants. This makes the line track efficient, directional moves closely while damping down noise during back-and-forth chop.
4. Statistical normalization. Rather than fixed overbought/oversold levels, the smoothed momentum is converted into a z-score against its own rolling mean and standard deviation. The ±2 SD bands self-calibrate to each instrument's own volatility character instead of using one arbitrary threshold for every market.
5. Regime filter (ADX/DMI). An ADX reading classifies conditions as ranging or trending. In ranging conditions, z-score extremes are treated as mean-reversion signals. In strong trends (ADX above threshold), those same extremes are deliberately ignored — since momentum can stay "overbought" for a long time inside a real trend — and instead a zero-line cross in the direction confirmed by +DI/−DI is treated as a trend-continuation signal.
6. Volume confirmation. Every signal additionally requires volume above its own moving average, filtering out low-participation moves that wouldn't hold up.
7. Algorithmic divergence with connecting lines. Bullish and bearish divergence is detected by comparing confirmed price pivots to oscillator pivots — a defined rule, not a discretionary read — and drawn as connecting lines on both the price chart and the oscillator pane, so the actual shape of the divergence is visible rather than marked with a single dot.
What's plotted
Oscillator line (z-score), colored by regime — gray for ranging, blue for confirmed uptrend, orange for confirmed downtrend
Dashed ±2 SD statistical bands and a zero line
Yellow background shading while in a strong-trend regime
Green/red triangles for volume-confirmed long/short signals
Magenta/lime connecting lines for bearish/bullish divergence, on both panes
How to use it
Start by reading the regime background: yellow shading means the market is trending strongly by ADX; no shading means it's ranging. That tells you which of the two signal modes is currently active. Then read the line color — gray, blue, or orange — which tells you the direction of any active trend. Triangles mark volume-confirmed signals: green below the line for long, red above for short. Connecting lines mark divergence: magenta between two price/oscillator highs for bearish, lime between two lows for bullish — these appear a few bars after the second pivot confirms, since a pivot needs bars on both sides to validate.
The strongest setups combine elements rather than relying on one signal alone — for example, a long triangle firing alongside a lime divergence line, or a trend-mode zero-cross that agrees with a higher-timeframe trend you've checked separately. Avoid taking ranging-mode mean-reversion signals against a clearly shaded trending background — that's exactly the mismatch the regime filter exists to prevent.
All lengths, the ADX trend threshold, volume multiplier, pivot lookback, and KAMA constants are adjustable in settings; the defaults are a reasonable starting point, not a finished strategy. Four alert conditions are built in (Long Signal, Short Signal, Bullish Divergence, Bearish Divergence) via TradingView's standard Add Alert dialog. אינדיקטור
