Strategy
Sweep Reclaim Entry Engine [trade_w_samet]🎯 Sweep Reclaim Entry Engine
Sweep Reclaim Entry Engine is a structured liquidity-sweep and reclaim analysis indicator designed to help traders study confirmed swing levels, controlled liquidity penetrations, reclaim strength, setup quality, directional alignment, and visual risk/reward models directly on the price chart.
This script focuses on one main concept:
Confirmed swing sweep and reclaim-based entry visualization.
It is not designed to mark every wick beyond every nearby high or low.
It is not designed to treat every penetration as a valid liquidity sweep.
It is not designed to create constant buy/sell labels.
Instead, the goal of Sweep Reclaim Entry Engine is to confirm structural swing levels, monitor their lifecycle, detect controlled penetrations beyond those levels, validate directional reclaims, apply configurable quality and market filters, and visualize accepted setups using one Entry level, one protective Stop Loss level, and one configurable risk/reward target.
The indicator includes:
• Confirmed swing-high and swing-low detection
• Reactive, Balanced, Structural, and Custom swing modes
• ATR-normalized level merging and proximity logic
• Fresh, Armed, Swept, Reclaimed, and Consumed level states
• Wick Only, Wick or Body, and Body Required sweep modes
• Minimum and maximum ATR-normalized sweep-depth filters
• First-penetration-only logic
• Multi-level sweep selection
• Dual-side sweep protection
• Same Candle, Fast, Flexible, and Custom reclaim windows
• Loose, Balanced, Strict, and Custom reclaim-strength modes
• Reclaim close-buffer, close-location, body-strength, and wick-rejection checks
• A transparent 0–100 setup-quality score
• A+, A, and B setup grades
• Loose, Balanced, Strict, and Custom quality-filter modes
• Relative-volume quality context
• Highest Quality and Nearest Level candidate-selection modes
• Direction, cooldown, cluster, duplicate-bar, and opposite-conflict controls
• Chart EMA, confirmed higher-timeframe EMA, and Combined EMA bias
• Optional volatility and market-efficiency filtering
• Entry ATR and Sweep Extreme stop-loss models
• A configurable 0.25R to 15R target
• One-active-trade-at-a-time logic
• Stop First and Target First same-bar assumptions
• Active TP / SL boxes and Entry / TP / SL lines
• SL-specific visual cleanup
• Important-only sweep-label filtering
• Full, Clean, Minimal, and Mobile chart profiles
• Full, Compact, Trade Only, and Off dashboard modes
• Adjustable marker, label, result, and dashboard sizes
• Crimson, Ice Blue, Monochrome, and fully custom colors
• Static PulseWire alert conditions
• Optional dynamic alert() messages
• Compact bottom-right dashboard
• Confirmed-close permanent signals
• Confirmed higher-timeframe data handling
The purpose of this script is to help users visually study where a confirmed swing-level sweep is followed by a qualified directional reclaim.
It should be treated as a chart-analysis and educational decision-support tool.
It is not financial advice.
It is not an automated trading system.
It does not guarantee profitable trades.
It does not execute broker orders.
It does not replace personal analysis, risk management, or trade validation.
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📌 OVERVIEW
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At a high level, Sweep Reclaim Entry Engine does the following:
• Detects confirmed bullish and bearish swing pivots.
• Stores accepted swing highs and swing lows in separate internal level memories.
• Prevents near-duplicate levels using ATR-based merge tolerance.
• Tracks whether each level is Fresh, Armed, Swept, Reclaimed, or Consumed.
• Arms a level when price moves within the selected ATR distance.
• Detects a new penetration beyond an eligible swing level.
• Measures penetration depth relative to ATR.
• Classifies the sweep as wick-based or body-based.
• Applies minimum depth, maximum depth, first-interaction, multi-level, and dual-side rules.
• Moves the accepted level into the Swept state.
• Waits for price to reclaim the level within the selected reclaim window.
• Checks reclaim close buffer, close location, candle body strength, candle direction, and wick rejection.
• Calculates a 0–100 setup-quality score.
• Assigns an internal A+, A, or B grade.
• Applies the selected minimum-quality requirement.
• Compares multiple eligible reclaim candidates.
• Applies direction, trend-bias, market, cooldown, clustering, duplicate, and conflict rules.
• Confirms final BUY and SELL reclaim signals only after candle close.
• Projects Entry, Stop Loss, and one configurable take-profit target.
• Maintains one active visual trade model at a time.
• Tracks TP and SL events after the entry candle.
• Applies the selected same-candle TP / SL assumption.
• Preserves successful models when historical display is enabled.
• Deletes failed-model boxes, lines, and original signal labels after SL.
• Leaves only a small CLOSED SL HIT label for failed models.
• Displays engine, bias, quality, signal, and trade information in the bottom-right dashboard.
• Provides sweep, signal, grade, trade-open, TP, and SL alerts.
The script is intentionally built as a structured sequence.
It does not include machine-learning prediction.
It does not claim that every sweep will reverse.
It does not treat the quality score as a probability.
It provides a transparent way to study confirmed swing sweeps, directional reclaims, and their visual trade lifecycle.
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🧠 CORE IDEA
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The core idea behind Sweep Reclaim Entry Engine is based on the difference between a liquidity penetration and a confirmed reclaim.
A sweep occurs when price trades beyond a previously confirmed swing high or swing low.
A reclaim occurs when price returns through that level and closes with enough directional strength to satisfy the active rules.
The engine does not treat the sweep itself as an entry.
Instead, it separates the process into distinct stages:
Confirmed swing
→ managed level
→ level approach
→ valid penetration
→ sweep classification
→ reclaim window
→ reclaim confirmation
→ quality scoring
→ final filtering
→ confirmed entry model
For a bullish setup, the engine studies a penetration below a confirmed swing low and a later close back above that level.
For a bearish setup, the engine studies a penetration above a confirmed swing high and a later close back below that level.
The reclaim can occur on the same candle or within a configurable number of bars.
The final setup can then be evaluated using:
• sweep depth
• reclaim close quality
• wick rejection
• candle-body strength
• level freshness
• relative volume
• displacement
• market condition
• level cleanliness
• chart EMA alignment
• confirmed higher-timeframe EMA alignment
• cooldown and cluster rules
• opposite-signal conflict handling
The goal is not to maximize signal quantity.
The goal is to create an understandable process that explains how a stored swing level becomes a sweep candidate, how that sweep becomes a reclaim candidate, and how the final entry model is accepted or rejected.
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🧩 WHY THIS SCRIPT IS NOT A SIMPLE BUY/SELL INDICATOR
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Sweep Reclaim Entry Engine is not intended to be used as a blind buy/sell system.
The script is structured as a visual review workflow:
A pivot becomes confirmed
→ the swing level is stored
→ duplicate levels are filtered
→ price approaches the level
→ the level becomes Armed
→ price creates a new penetration
→ penetration type and depth are validated
→ the level becomes Swept
→ the reclaim window opens
→ reclaim strength is evaluated
→ a quality score is calculated
→ the setup receives a grade
→ eligible candidates are compared
→ execution filters are checked
→ the signal must remain valid at candle close
→ Entry, SL, and TP are projected
→ the active model is monitored
→ the model closes at TP or SL
→ the visual result is archived or cleaned
Each stage serves a specific purpose.
The confirmed-pivot engine defines the structural reference.
The level-memory engine prevents the script from treating all historical highs and lows as permanently active.
The Armed state separates a distant level from a level that price is actively approaching.
The sweep engine distinguishes a controlled penetration from a deep breakout.
The reclaim engine defines what qualifies as a directional return through the level.
The quality engine combines several independent setup characteristics.
The execution engine prevents clustered, duplicate, conflicting, or bias-opposed entries.
The trade model standardizes the visual Entry, risk, and reward references.
The dashboard explains the engine state and active model.
This makes the script a structured sweep-reclaim analysis tool, not a guaranteed signal generator.
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⚙️ HOW THE SCRIPT WORKS
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The script operates through several connected systems.
First, it confirms swing highs and swing lows using the selected pivot sensitivity.
Reactive mode uses shorter pivot lengths.
Balanced mode uses medium pivot lengths.
Structural mode uses wider pivot lengths and is the default.
Custom mode allows manual left-side and right-side pivot lengths.
float confirmedSwingHigh = ta.pivothigh(high, swingLeft, swingRight)
float confirmedSwingLow = ta.pivotlow(low, swingLeft, swingRight)
int confirmedHighBar = bar_index - swingRight
int confirmedLowBar = bar_index - swingRight
After confirmation, accepted swing levels are stored in separate high-side and low-side arrays.
Each level stores contextual information including:
• level price
• original pivot bar
• lifecycle state
• interaction count
• sweep bar
• sweep depth
• sweep extreme
• sweep type
• reclaim bar
• visual line reference
When price approaches a stored level, the level can move from Fresh to Armed.
When price creates a new penetration beyond the level, the engine checks:
• penetration mode
• minimum ATR depth
• maximum ATR depth
• first-attempt permission
• multi-level selection
• dual-side sweep protection
f_isValidHighSweep(float levelPrice, int attempts) =>
float depthATR = (high - levelPrice) / safeATR
int kind = f_highSweepKind(levelPrice)
bool depthValid = depthATR >= minSweepDepthATR and depthATR <= effectiveMaxSweepDepthATR
bool attemptValid = not firstInteractionOnly or attempts == 0
bool valid = f_isNewHighPenetration(levelPrice) and depthValid and attemptValid and f_modeAcceptsKind(kind)
valid
f_isValidLowSweep(float levelPrice, int attempts) =>
float depthATR = (levelPrice - low) / safeATR
int kind = f_lowSweepKind(levelPrice)
bool depthValid = depthATR >= minSweepDepthATR and depthATR <= effectiveMaxSweepDepthATR
bool attemptValid = not firstInteractionOnly or attempts == 0
bool valid = f_isNewLowPenetration(levelPrice) and depthValid and attemptValid and f_modeAcceptsKind(kind)
valid
A valid sweep moves the level into the Swept state.
The reclaim engine then waits for price to close back through the level within the selected window.
The reclaim must pass every enabled strength requirement.
The accepted candidate receives a quality score and grade.
If more than one candidate qualifies, the active Candidate Selection mode chooses the final candidate.
The final signal must also pass direction, bias, market, cooldown, cluster, duplicate-bar, and conflict rules.
Only after the bar closes with all conditions still valid can the permanent BUY or SELL reclaim signal and visual trade model appear.
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🟢 BULLISH SWEEP RECLAIM LOGIC
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A bullish sweep-reclaim setup begins with a confirmed swing low.
The swing low must be stored and remain eligible.
Price can then move close enough to place the level in the Armed state.
A bullish sweep is created when price penetrates below the swing-low level and the penetration satisfies the active sweep rules.
The engine may require:
• a wick-only penetration
• a wick or body penetration
• body participation beyond the level
• a minimum ATR-normalized depth
• a maximum ATR-normalized depth
• the first valid penetration attempt
• selection as the nearest valid level
• no simultaneous high-side sweep
After the low-side sweep, the bullish reclaim must occur inside the selected reclaim window.
The reclaim can require:
• a close above the swept level
• an ATR-based close buffer above the level
• a high close location inside the candle
• minimum body strength relative to ATR
• a bullish candle body when enabled
• minimum lower-wick rejection for same-candle reclaims
• a final score above the active quality threshold
• permission from the selected signal direction
• bullish chart and/or HTF EMA alignment
• permission from the active market-condition filter
• cooldown and cluster permission
• no stronger bearish conflict
f_isValidLowReclaim(int index) =>
bool valid = false
if index >= 0 and index < array.size(lowPrices) and barstate.isconfirmed
int state = array.get(lowStates, index)
int sweepBar = array.get(lowSweepBars, index)
if state == STATE_SWEPT and sweepBar >= 0
float levelPrice = array.get(lowPrices, index)
int barsAfterSweep = bar_index - sweepBar
bool windowPass = barsAfterSweep >= 0 and barsAfterSweep <= reclaimWindowBars
bool closePass = close >= levelPrice + safeATR * reclaimCloseBufferATR
bool locationPass = f_bullCloseLocation() >= reclaimCloseLocationThreshold
bool bodyPass = f_bodyATR() >= reclaimBodyStrengthATR
bool directionPass = not requireDirectionalCandle or close > open
bool sameBar = barsAfterSweep == 0
bool wickPass = not requireSameCandleWick or not sameBar or f_lowerWickRatio() >= reclaimWickThreshold
valid := windowPass and closePass and locationPass and bodyPass and directionPass and wickPass
valid
When every enabled rule passes at candle close, the script displays a BUY RECLAIM label.
If the visual trade model is enabled and no trade is active, the setup creates:
• Entry at the confirmed signal-bar close
• Stop Loss below entry or below the sweep extreme
• TP above entry
• blue/cyan reward box
• red risk box
• thick white Entry line
• blue TP line
• red SL line
This does not mean price must continue upward.
It means the configured bullish sweep-reclaim conditions were confirmed at the close of that candle.
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🔴 BEARISH SWEEP RECLAIM LOGIC
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A bearish sweep-reclaim setup begins with a confirmed swing high.
The swing high must be stored and remain eligible.
Price can then move close enough to place the level in the Armed state.
A bearish sweep is created when price penetrates above the swing-high level and the penetration satisfies the active sweep rules.
The engine may require:
• a wick-only penetration
• a wick or body penetration
• body participation beyond the level
• a minimum ATR-normalized depth
• a maximum ATR-normalized depth
• the first valid penetration attempt
• selection as the nearest valid level
• no simultaneous low-side sweep
After the high-side sweep, the bearish reclaim must occur inside the selected reclaim window.
The reclaim can require:
• a close below the swept level
• an ATR-based close buffer below the level
• a low close location inside the candle
• minimum body strength relative to ATR
• a bearish candle body when enabled
• minimum upper-wick rejection for same-candle reclaims
• a final score above the active quality threshold
• permission from the selected signal direction
• bearish chart and/or HTF EMA alignment
• permission from the active market-condition filter
• cooldown and cluster permission
• no stronger bullish conflict
When every enabled rule passes at candle close, the script displays a SELL RECLAIM label.
If the visual trade model is enabled and no trade is active, the setup creates:
• Entry at the confirmed signal-bar close
• Stop Loss above entry or above the sweep extreme
• TP below entry
• blue/cyan reward box
• red risk box
• thick white Entry line
• blue TP line
• red SL line
This does not mean price must continue downward.
It means the configured bearish sweep-reclaim conditions were confirmed at the close of that candle.
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💎 SWEEP RECLAIM QUALITY FILTER SYSTEM
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The script includes a multi-component quality system to reduce low-context reclaim signals.
This is important because not every sweep has the same structural meaning and not every reclaim candle has the same directional strength.
The quality engine evaluates eight components:
Sweep Depth — maximum 15 points
Measures where the penetration sits inside the active minimum-to-maximum sweep range.
The score favors a controlled sweep depth rather than automatically rewarding the deepest penetration.
Reclaim Close — maximum 20 points
Measures the directional location of the candle close.
A bullish setup receives more points when the reclaim closes near the top of the candle.
A bearish setup receives more points when the reclaim closes near the bottom.
Wick Rejection — maximum 15 points
Measures the directional rejection wick.
For multi-bar reclaims, the engine can also consider the stored sweep type and current reclaim structure.
Level Freshness — maximum 10 points
Newer levels generally receive more freshness points than levels that have remained active for a long time.
Relative Volume — maximum 10 points
Compares current volume with the selected baseline length.
When useful volume is not available, the engine avoids treating the setup as automatically invalid.
Displacement — maximum 15 points
Combines candle-body strength and the distance reclaimed through the level.
Market Condition — maximum 10 points
Uses candle range and ATR-regime information.
Level Cleanliness — maximum 5 points
Rewards levels with fewer prior interaction attempts.
The total is rounded and limited to 0–100.
float qualityScore = math.min(100.0, math.max(0.0, math.round(
sweepScore + closeScore + wickScore + freshnessScore +
volumeScore + displacementScore + marketScore + cleanlinessScore
)))
The quality score is not a win probability.
It is not a verified accuracy percentage.
It is an internal measurement of how closely the completed setup matches the selected structural rules.
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📏 SWEEP / ATR FILTER
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The sweep-depth filter measures the penetration beyond a swing level relative to ATR.
For a high-side sweep:
Sweep Depth = (High − Swing High) / ATR.
For a low-side sweep:
Sweep Depth = (Swing Low − Low) / ATR.
Minimum Sweep Depth rejects penetrations that may be too small to represent a meaningful liquidity event.
Maximum Sweep Depth rejects penetrations that may be too deep to represent a controlled sweep and may instead behave more like a breakout.
The default values are:
Minimum Sweep Depth = 0.05 ATR.
Maximum Sweep Depth = 0.80 ATR.
ATR normalization allows the threshold to adapt to changing volatility.
A 0.20 ATR sweep represents a relative move rather than a fixed number of points.
This helps the engine operate across different price scales.
However, ATR normalization does not make one configuration universally suitable.
A symbol with session gaps, irregular volume, or unusual volatility can still behave differently from another market.
A deeper sweep is not automatically a better setup.
Sweep depth is only one component of the complete reclaim process.
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🕯️ DISPLACEMENT QUALITY FILTER
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The displacement component evaluates whether the reclaim candle moves with enough directional force.
The engine considers:
• candle-body size relative to ATR
• distance closed beyond the reclaimed level
• bullish or bearish directional recovery
For bullish setups, stronger displacement generally means:
• a larger bullish body
• a close further above the reclaimed swing low
For bearish setups, stronger displacement generally means:
• a larger bearish body
• a close further below the reclaimed swing high
Reclaim Strength Mode can also impose a minimum body-size requirement before the setup reaches the quality-scoring stage.
Loose mode allows smaller directional bodies.
Balanced mode uses moderate requirements.
Strict mode requires stronger completed-candle behavior.
Custom mode exposes the manual threshold.
Displacement is not used as a prediction.
It is used to measure whether the completed reclaim candle demonstrates the selected degree of directional response.
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📊 REACTION STRENGTH FILTER
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The reaction-strength layer evaluates the candle that confirms the reclaim.
The active rules can include:
• close through the swept level
• ATR-based close buffer
• directional close location
• body strength relative to ATR
• bullish or bearish candle direction
• same-candle rejection wick
Reclaim Strength Mode provides:
Loose
Uses lower close-buffer, close-location, body-strength, and wick-rejection requirements.
Balanced
Uses moderate thresholds.
Strict
Uses the strongest built-in thresholds and is the default.
Custom
Uses the manual values selected by the user.
Strict mode applies:
• 0.05 ATR reclaim close buffer
• 0.70 directional close-location threshold
• 0.15 ATR minimum body strength
• 0.28 same-candle wick-rejection ratio
Require Directional Candle Body can additionally require:
• close above open for bullish reclaims
• close below open for bearish reclaims
Require Same-Candle Wick Rejection applies the wick requirement when the sweep and reclaim occur on the same candle.
The reaction-strength system is designed to distinguish a simple touch from a stronger completed directional response.
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🧼 CONFIRMED RECLAIM FILTER
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The reclaim layer requires the setup to remain valid at candle close.
Available reclaim windows include:
Same Candle
The penetration and reclaim must complete on the same candle.
Fast
The reclaim can occur on the sweep candle or the next candle.
Flexible
The reclaim can occur within three bars and is the default.
Custom
The user selects the maximum number of bars.
The engine stores the sweep bar and compares the current bar with the allowed reclaim window.
The sweep state timeout is automatically prevented from becoming shorter than the active reclaim window.
A reclaimed setup can also be blocked by:
• insufficient close buffer
• weak close location
• weak candle body
• missing directional body
• missing same-candle wick rejection
• low quality score
• direction restriction
• chart EMA misalignment
• higher-timeframe EMA misalignment
• market-condition failure
• active-trade restriction
• cooldown
• same-direction clustering
• duplicate-bar protection
• opposite-direction conflict
Final permanent BUY and SELL signals require confirmed-bar logic.
This means an unfinished realtime candle can temporarily trade beyond a level, but it does not become a permanent reclaim signal unless the conditions remain valid when the bar closes.
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🎯 ENTRY MODEL
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When a final BUY or SELL reclaim signal passes every enabled condition, the script can create a visual entry model.
The Entry reference is the close of the confirmed signal candle.
The engine stores:
• trade direction
• entry bar
• entry price
• stop price
• risk distance
• selected RR
• target price
• setup quality
• setup grade
The trade model opens only when:
• Enable Trade Model is active
• no visual trade is already active
• the final reclaim signal is confirmed
• the calculated risk distance is larger than the symbol’s minimum tick
• same-bar reopening is permitted when the previous model closed on the same candle
if enableTradeModel and not tradeActive and (allowSignalOnExitBar or not tradeClosedThisBar)
if buyReclaimSignal
float sweepExtreme = array.get(lowSweepExtremes, selectedLowReclaimIndex)
float candidateStop = stopLossMode == "Entry ATR Multiplier" ?
close - safeATR * stopATRMultiplier :
sweepExtreme - safeATR * stopBufferATR
float candidateRisk = close - candidateStop
The entry model is a visual analysis reference.
It is not a broker market order.
It does not include spread, slippage, commission, latency, or partial fills.
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🛑 ATR STOP-LOSS MODEL
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The script includes two stop-placement models.
Entry ATR Multiplier
For BUY setups:
Stop = Entry − ATR × multiplier.
For SELL setups:
Stop = Entry + ATR × multiplier.
This is the default mode.
The default Entry ATR Stop Multiplier is 2.00 ATR.
The multiplier can be adjusted from 0.10 to 15.00.
Sweep Extreme + ATR Buffer
For BUY setups:
Stop = stored low-side sweep extreme − ATR buffer.
For SELL setups:
Stop = stored high-side sweep extreme + ATR buffer.
The default Sweep-Extreme Buffer is 0.10 ATR.
float candidateStop = stopLossMode == "Entry ATR Multiplier" ?
close - safeATR * stopATRMultiplier :
sweepExtreme - safeATR * stopBufferATR
The selected stop determines the visual risk distance.
That risk distance also determines the take-profit distance.
The displayed stop is a planning reference only.
It does not place or manage a broker stop order.
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🎯 TAKE-PROFIT RR MODEL
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The script uses one configurable take-profit target.
The target is calculated from the distance between Entry and Stop Loss.
For BUY models:
TP = Entry + Risk × RR.
For SELL models:
TP = Entry − Risk × RR.
The Risk / Reward Target can be adjusted from:
0.25R to 15.00R.
The default is 2.00R.
activeTradeRisk := candidateRisk
activeTradeRR := tradeRiskReward
activeTradeTarget := close + candidateRisk * tradeRiskReward
The displayed RR controls the geometric distance of the projected target.
It does not represent a performance claim.
It does not guarantee that price will reach the target.
Changing the stop model or stop multiplier changes the target distance because both levels are based on the same initial risk.
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📦 ACTIVE TP / SL BOX SYSTEM
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When a confirmed reclaim model opens, the script can draw:
• blue/cyan TP box
• red SL box
• thick white Entry line
• blue TP line
• red SL line
• BUY RECLAIM or SELL RECLAIM label
The active boxes and lines extend to the right as new candles appear.
The Entry line is intentionally pure white and visually thicker than the TP and SL references.
When TP is reached:
• the trade model closes
• active boxes and lines stop at the closing bar
• the TP result label appears
• completed visuals can remain when Show Historical Trades is enabled
• completed visuals can be faded using Completed Trade Transparency
When SL is reached:
• the TP box is deleted
• the SL box is deleted
• the Entry line is deleted
• the TP line is deleted
• the SL line is deleted
• the original BUY or SELL signal label associated with that trade is deleted
• only a small CLOSED SL HIT label remains
This SL-specific cleanup keeps failed models visually concise.
The active trade model is educational and bar-based.
It does not simulate real broker execution.
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🚦 ONE ACTIVE TRADE AT A TIME
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The script includes one-active-trade-at-a-time logic.
If a visual trade model is active, the engine does not open another trade model until the current model closes.
Block Signals During Active Trade can also prevent new final signal labels from being accepted while the active model is open.
Allow New Signal on Exit Bar controls whether a new model can open on the same candle that closes the current model.
The default is disabled.
This design separates:
• market-level calculation
• sweep and reclaim detection
• permission to create a new trade model
The engine can continue updating structural levels and market context while a model is active.
However, the one-active-model rule prevents overlapping TP / SL boxes and conflicting lifecycle states.
This is a visual-management rule.
It is not a restriction on the user’s personal trading activity.
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⚠️ SAME-CANDLE TP / SL HANDLING
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The script begins checking TP and SL after the entry candle.
If both TP and SL are touched on the same later candle, standard OHLC data does not reveal the actual intrabar sequence.
The script therefore provides two selectable assumptions:
Stop First
The stop is processed before the target.
This is the default and more conservative assumption.
Target First
The target is processed before the stop.
This is the more optimistic assumption.
Neither option reproduces exact tick-level broker execution.
The model does not include:
• bid/ask spread
• slippage
• order latency
• partial fills
• queue priority
• execution venue rules
• intrabar tick order
Same-candle handling is a modeling choice required by the limits of standard bar data.
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🏷️ SWEEP RECLAIM LABELS
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The script uses separate labels for sweep events, reclaim signals, and trade results.
Sweep labels can display:
SWEEP HIGH
or:
SWEEP LOW
The Sweep Label Filter can show:
Important Only
Only sweeps that meet the active importance threshold receive visible labels.
All Valid
Every accepted sweep can receive a visible label.
The default Minimum Sweep Importance is 65.
BUY and SELL reclaim labels can use three display styles:
Full
Example:
▲ A+ BUY RECLAIM ▲
QUALITY • 87/100
or:
▼ A+ SELL RECLAIM ▼
QUALITY • 84/100
Compact
Displays a shorter direction, grade, and score format.
Icon
Displays a minimal directional icon and optional score.
Show Grade on Signal Labels controls A+, A, or B display.
Show Score on Signal Labels controls the 0–100 score display.
All dynamic label text uses bold and italic formatting.
Independent size controls are available for:
• sweep labels
• BUY / SELL signal labels
• TP / SL result labels
• confirmed pivot triangle markers
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📍 SWING LEVEL DISPLAY MODES
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The indicator includes several level-display modes.
All Active
Displays eligible Fresh, Armed, Swept, and Reclaimed swing levels according to the active color and line-style rules.
Armed + Events
Focuses on Armed, Swept, and Reclaimed levels.
Events Only
Shows levels primarily when a sweep or reclaim event has occurred.
Hidden
Keeps the level engine active while removing swing-level lines from the chart.
Level Line Style provides:
Adaptive
Changes the line appearance according to level state.
Solid
Uses solid lines.
Dashed
Uses dashed lines.
Dotted
Uses dotted lines.
Show Swing-High Levels and Show Swing-Low Levels can independently control each side.
Fade Older Levels can reduce the opacity of older stored levels.
Level Width controls line thickness.
The display mode affects chart presentation only.
It does not change the underlying sweep and reclaim calculations.
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🧹 LEVEL INVALIDATION
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Stored levels do not remain eligible forever.
A level can be removed or retired because:
• it exceeds Maximum Level Age
• a confirmed breakout exceeds the allowed invalidation distance
• its sweep state exceeds the active timeout
• it completes its reclaimed hold period
• its first penetration is rejected while First Penetration Only is active
• it is consumed after failing a final execution filter
• the maximum active-level capacity removes an older level
Breakout Invalidation uses ATR-normalized distance.
This helps distinguish a controlled sweep from a confirmed close that travels too far beyond an unswept level.
Sweep State Timeout limits how long a Swept level can wait for reclaim.
Reclaimed Level Hold Bars controls how long the line remains highlighted after a successful reclaim.
Consume Filtered Reclaims determines whether a reclaim candidate rejected by direction, bias, market, cooldown, cluster, or conflict rules is permanently retired.
Removing stale or invalid levels helps reduce repeated signals from outdated price references.
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📟 DASHBOARD
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The script includes a dashboard positioned in the bottom-right corner.
Dashboard modes include:
Full
Displays the broadest engine diagnostics.
Compact
Shows a reduced selection of important engine and trade information.
Trade Only
Focuses on the active trade lifecycle.
Off
Hides the dashboard.
The Full dashboard can display:
• active swing and reclaim configuration
• quality-filter mode
• Fresh, Armed, Swept, and Reclaimed level counts
• last sweep side
• last sweep type
• sweep depth
• last reclaim signal
• reclaim delay
• close location
• candle-body strength
• setup grade
• setup-quality score
• quality-component information
• selected candidate mode
• signal direction
• cooldown state
• trend-bias state
• market state
• active level
• latest block reason
• trade state
• Entry
• Stop
• Target
• risk distance
• selected RR
• total visual models
• wins and losses
• internal net R
• last model result
• current and best internal streaks
The dashboard is not PulseWire Strategy Tester.
Its trade counters are based on the indicator’s own educational bar-based model.
They do not include spread, commission, slippage, latency, or real broker execution.
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🚨 ALERT SYSTEM
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Sweep Reclaim Entry Engine includes static PulseWire alert conditions for:
• Swing High Swept
• Swing Low Swept
• Any Swing Sweep
• BUY Reclaim Confirmed
• SELL Reclaim Confirmed
• Any Reclaim Signal
• A+ Sweep Reclaim
• A Sweep Reclaim
• B Sweep Reclaim
• Sweep Reclaim Trade Opened
• Sweep Reclaim TP Hit
• Sweep Reclaim SL Hit
The script also includes optional dynamic alert() messages.
Dynamic messages can include:
• direction
• symbol
• timeframe
• grade
• quality score
• reclaimed level
• signal close
• Entry
• Stop Loss
• TP
• RR
• stop mode
• final model result
Dynamic Signal Alerts: A+ Only can restrict dynamic final-signal alerts to A+ setups.
Alert filtering affects alert delivery only.
It does not change chart calculations.
Alerts are monitoring tools.
They do not execute trades or place broker orders.
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🔔 HOW TO USE ALERTS
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A practical alert workflow:
1. Add Sweep Reclaim Entry Engine to the chart.
2. Select the desired swing, sweep, reclaim, quality, bias, and trade-model settings.
3. Open PulseWire’s Create Alert window.
4. Select the indicator as the alert condition.
5. Choose the required static condition.
6. Use BUY Reclaim Confirmed or SELL Reclaim Confirmed for direction-specific signals.
7. Use Any Reclaim Signal for either direction.
8. Use A+, A, or B conditions when grade-specific monitoring is needed.
9. Enable Dynamic alert() Messages when detailed runtime messages are preferred.
10. Select Any alert() function call for dynamic messages.
11. Choose an alert frequency suitable for confirmed-candle monitoring.
12. Test the alert before depending on it.
13. Confirm every event with personal analysis and risk management.
Alert delivery can depend on:
• PulseWire servers
• the user’s alert settings
• symbol data availability
• chart timeframe
• realtime feed status
• webhook destination availability
The indicator cannot guarantee alert delivery or external execution.
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🧪 HOW TO USE THE INDICATOR
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A practical workflow:
1. Add Sweep Reclaim Entry Engine to a standard candlestick chart.
2. Begin with the default Structural swing mode.
3. Keep Reclaim Strength Mode on Strict while learning the engine.
4. Keep Quality Filter Mode on Strict when a selective default is preferred.
5. Confirm that the selected higher timeframe is above the chart timeframe.
6. Observe the stored swing-high and swing-low levels.
7. Watch for a level to move from Fresh to Armed.
8. Review whether the penetration appears controlled rather than excessively deep.
9. Wait for the reclaim candle to close.
10. Review the BUY or SELL label, grade, and quality score.
11. Check the bottom-right dashboard for bias, market state, block reason, and active trade.
12. Treat Entry, SL, and TP as visual references only.
13. Compare the setup with personal structure, liquidity, session, volatility, and risk rules.
14. Use alerts for monitoring rather than blind execution.
15. Test the exact symbol, timeframe, session, and settings personally used.
16. Review historical TP models and concise CLOSED SL HIT labels to understand the visual lifecycle.
The indicator is best used as a structured sweep-reclaim review tool.
It should not be used as an automatic decision-maker.
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⚙️ SETTINGS REFERENCE
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⚙️ Core Swing Engine
Swing Mode
Selects Reactive, Balanced, Structural, or Custom.
Custom Left Bars
Controls left-side pivot sensitivity in Custom mode.
Custom Right Bars
Controls right-side pivot confirmation in Custom mode.
ATR Length
Controls ATR normalization throughout the engine.
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📍 Level Management
Maximum Active Levels Per Side
Limits stored swing highs and lows separately.
Maximum Level Age
Removes old inactive levels.
Level Merge Tolerance — ATR
Prevents near-duplicate swing levels.
Armed Distance — ATR
Controls how close price must move before a Fresh level becomes Armed.
Breakout Invalidation — ATR
Controls the confirmed-close distance that invalidates an unswept level.
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🌊 Sweep Detection
Sweep Penetration Mode
Selects Wick Only, Wick or Body, or Body Required.
Minimum Sweep Depth — ATR
Rejects insignificant penetrations.
Maximum Sweep Depth — ATR
Rejects excessively deep penetrations.
First Penetration Only
Allows only the first interaction attempt.
Multi-Level Sweep Handling
Selects Nearest Valid Level or All Valid Levels.
Block Dual-Side Sweep Bars
Prevents one candle from registering both a high-side and low-side sweep.
Sweep State Timeout
Controls how long a Swept level can wait for reclaim.
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✅ Reclaim Confirmation
Reclaim Window
Selects Same Candle, Fast, Flexible, or Custom.
Custom Reclaim Bars
Controls the reclaim window in Custom mode.
Reclaim Strength Mode
Selects Loose, Balanced, Strict, or Custom.
Custom Close Buffer — ATR
Controls reclaim distance beyond the level.
Custom Close Location
Controls directional close quality.
Custom Body Strength — ATR
Controls minimum reclaim-candle body size.
Custom Wick Rejection Ratio
Controls same-candle rejection-wick quality.
Require Directional Candle Body
Requires bullish or bearish candle direction.
Require Same-Candle Wick Rejection
Requires the active wick threshold for immediate reclaims.
Block Dual-Side Reclaim Bars
Prevents both directions from confirming on one candle.
Reclaimed Level Hold Bars
Controls how long a reclaimed level remains highlighted.
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💎 Quality Engine
Quality Filter Mode
Selects Loose, Balanced, Strict, or Custom.
Custom Minimum Quality
Controls the manual minimum from 50 to 100.
Include Relative Volume
Adds the relative-volume component.
Relative Volume Length
Controls the volume baseline.
Volatility Regime Length
Controls the ATR-regime baseline.
Show Grade on Signal Labels
Displays A+, A, or B.
Show Score on Signal Labels
Displays the 0–100 quality score.
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🎯 Signal Execution
Signal Direction
Selects Both, Long Only, or Short Only.
Candidate Selection
Selects Highest Quality or Nearest Level.
Cooldown Mode
Selects Off, Any Signal, or Same Direction.
Signal Cooldown Bars
Controls the time-based delay.
Use Same-Direction Cluster Filter
Blocks nearby repeated signals.
Minimum Signal Distance — ATR
Controls the required distance from the previous same-direction signal.
Block Duplicate Signal Bar
Prevents repeated final signals on one candle.
Opposite-Signal Conflict
Selects Block Both, Higher Quality, BUY Priority, or SELL Priority.
Consume Filtered Reclaims
Retires reclaim candidates rejected by final execution filters.
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🧭 Bias & Market Filters
Trend Bias Mode
Selects Off, Chart EMA, Higher Timeframe EMA, or Combined EMA.
Chart EMA Length
Controls current-timeframe trend bias.
Higher Timeframe
Selects the HTF context.
Higher-Timeframe EMA Length
Controls the confirmed HTF EMA.
Require EMA Slope Agreement
Adds directional EMA slope.
Market Condition Filter
Selects Off, Volatility, Efficiency, or Combined.
Efficiency Length
Controls directional-efficiency calculation.
Minimum Efficiency
Controls the required efficiency ratio.
Minimum ATR Regime Ratio
Sets the lower volatility boundary.
Maximum ATR Regime Ratio
Sets the upper volatility boundary.
The default HTF layer uses previous completed higher-timeframe values.
float confirmedHTFClose = request.security(
syminfo.tickerid,
higherTimeframe,
close ,
gaps = barmerge.gaps_off,
lookahead = barmerge.lookahead_on
)
float confirmedHTFEMA = request.security(
syminfo.tickerid,
higherTimeframe,
ta.ema(close, higherTimeframeBiasLength) ,
gaps = barmerge.gaps_off,
lookahead = barmerge.lookahead_on
)
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📈 Trade Model
Enable Trade Model
Enables Entry, SL, TP, and lifecycle visualization.
Stop-Loss Mode
Selects Entry ATR Multiplier or Sweep Extreme + ATR Buffer.
Sweep-Extreme Buffer — ATR
Controls protective distance beyond the sweep extreme.
Entry ATR Stop Multiplier
Controls ATR stop distance from Entry.
Risk / Reward Target
Controls target distance from 0.25R to 15R.
TP / SL Same-Bar Priority
Selects Stop First or Target First.
Block Signals During Active Trade
Maintains the one-active-model structure.
Allow New Signal on Exit Bar
Controls same-bar reopening.
Show TP / SL Boxes
Shows or hides risk/reward areas.
Show Entry / TP / SL Lines
Shows or hides price-reference lines.
Show Historical Trades
Keeps completed TP models.
Maximum Historical Trades
Limits stored completed visuals.
Show TP / SL Result Labels
Controls TP HIT and CLOSED SL HIT labels.
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🔔 Alert System
Enable Dynamic alert() Messages
Activates detailed runtime alerts.
Alert Final BUY / SELL Signals
Enables final-signal messages.
Dynamic Signal Alerts: A+ Only
Restricts dynamic signal messages to A+ setups.
Alert Trade Model Open
Sends Entry, SL, TP, RR, grade, and quality.
Alert TP / SL Result
Sends model-result messages.
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🎨 Visual Settings
Visual Profile
Selects Full, Clean, Minimal, or Mobile.
Level Display
Selects All Active, Armed + Events, Events Only, or Hidden.
Level Line Style
Selects Adaptive, Solid, Dashed, or Dotted.
Signal Label Style
Selects Full, Compact, or Icon.
Dashboard Mode
Selects Full, Compact, Trade Only, or Off.
Active Trade Zone Transparency
Controls TP / SL fill transparency.
Active Trade Border Transparency
Controls TP / SL borders.
Active Trade Line Width
Controls trade-line thickness.
Fade Completed Trades
Fades completed TP models.
Completed Trade Transparency
Controls historical fading.
Theme
Selects Crimson, Ice Blue, or Monochrome.
Show Swing-High Levels
Controls high-side levels.
Show Swing-Low Levels
Controls low-side levels.
Show Important Sweep Labels
Controls sweep-event labels.
Sweep Label Filter
Selects Important Only or All Valid.
Minimum Sweep Importance
Controls visible sweep quality.
Maximum Important Sweep Labels
Limits sweep-label history.
Show BUY / SELL Reclaim Signals
Controls final reclaim labels.
Maximum Reclaim Labels
Limits final signal-label history.
Fade Older Levels
Reduces old-level opacity.
Level Width
Controls swing-level line thickness.
Show Confirmed Pivot Markers
Controls pivot triangles.
Show Dashboard
Enables the dashboard.
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🛠️ Customization
Sweep Label Size
Controls SWEEP HIGH / SWEEP LOW labels.
Triangle Marker Size
Controls confirmed pivot triangles.
BUY / SELL Signal Label Size
Controls reclaim labels.
TP / SL Result Label Size
Controls result labels.
Dashboard Header Size
Controls dashboard titles.
Dashboard Text Size
Controls dashboard body text.
Color Mode
Selects Theme or Custom.
Custom color inputs control:
• swing-level states
• BUY / SELL backgrounds and text
• sweep-label backgrounds and text
• Entry, TP, and SL lines
• TP / SL fills and borders
• TP / SL result labels
• dashboard background, header, border, main text, and muted text
Input values and plotted marker values are hidden from the status line.
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🧠 WHAT MAKES THIS SCRIPT ORIGINAL
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Sweep Reclaim Entry Engine uses familiar analytical concepts such as:
• pivot highs and lows
• liquidity sweeps
• price reclaims
• ATR
• relative volume
• EMA bias
• market efficiency
• risk/reward projection
These concepts are not unique by themselves.
The originality of this script lies in how they are organized into one transparent sweep-reclaim workflow:
Confirmed pivot
→ separate high-side and low-side memories
→ ATR-normalized duplicate control
→ Fresh state
→ Armed state
→ penetration classification
→ minimum and maximum depth validation
→ Swept state
→ configurable reclaim window
→ close, location, body, and wick validation
→ eight-component quality score
→ A+ / A / B grade
→ multi-candidate comparison
→ cooldown, cluster, and conflict handling
→ chart and confirmed HTF EMA alignment
→ optional market-regime filtering
→ one-active-trade model
→ TP-specific historical preservation
→ SL-specific visual cleanup
→ static and dynamic alert delivery
→ bottom-right diagnostic dashboard
Distinctive implementation features include:
• separate lifecycle arrays for swing highs and swing lows
• a defined Armed state before sweep detection
• controlled minimum and maximum penetration depth
• wick/body sweep classification
• first-attempt retirement logic
• sweep-importance scoring separate from setup-quality scoring
• same-candle and multi-bar reclaim support
• transparent quality-component weighting
• Highest Quality and Nearest Level candidate selection
• multiple opposite-conflict resolution modes
• confirmed higher-timeframe EMA data
• ATR-normalized signal clustering
• full chart cleanup after SL
• independent sizing for every label and marker class
• status-line value suppression without hiding chart markers
• configurable targets up to 15R
The script is not a basic collection of unrelated filters.
Each module supports the same swing-sweep-reclaim process.
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⚠️ IMPORTANT PRACTICAL NOTES
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The indicator’s behavior depends heavily on settings and market conditions.
Signal frequency can change based on:
• Swing Mode
• pivot lengths
• maximum level age
• merge tolerance
• armed distance
• sweep penetration mode
• minimum and maximum sweep depth
• first-penetration logic
• multi-level selection
• reclaim window
• reclaim strength
• directional candle requirement
• same-candle wick requirement
• quality filter mode
• volume context
• direction restriction
• cooldown
• signal-cluster distance
• opposite-conflict mode
• chart EMA length
• HTF selection
• HTF EMA length
• market-condition filter
• volatility regime
• efficiency threshold
• active-trade restrictions
• symbol
• timeframe
• session
• data provider
• available chart history
A setting that appears selective on one market may behave differently on another.
Volume behavior can differ across forex, futures, equities, indices, and cryptocurrencies.
The higher-timeframe filter should use a timeframe meaningfully above the chart timeframe.
Structural mode confirms fewer and broader pivots than Reactive mode.
Strict reclaim and quality modes reduce signal frequency but do not guarantee better results.
Reactive or Balanced modes can increase frequency but can also increase chart noise.
Users should test the exact market, timeframe, session, and configuration they personally study.
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⚠️ LIMITATIONS AND SHORTCOMINGS
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This script has important limitations:
It does not guarantee profitable trades.
It does not predict future price movement.
It does not replace risk management.
It does not execute trades.
It does not place broker orders.
It does not include spread.
It does not include commissions.
It does not include slippage.
It does not include execution delay.
It does not include partial fills.
It uses bar-based OHLC data.
Same-candle TP / SL order cannot be known from standard OHLC bars.
Stop First and Target First are modeling assumptions.
Confirmed pivots require right-side bars before becoming available.
The quality score is not a win probability.
A+ is not a guaranteed outcome.
The dashboard is not PulseWire Strategy Tester.
Internal model counters are not audited brokerage performance.
Historical boxes and labels do not guarantee future behavior.
Relative-volume quality depends on available volume data.
Higher-timeframe bias depends on the selected timeframe.
Market-efficiency filtering cannot identify every ranging condition.
ATR normalization does not make one configuration universal.
One-active-trade logic is a visual-management rule.
Data-feed differences can change historical pivots and signals.
Alert delivery depends on PulseWire and user configuration.
Changing settings changes historical calculations.
Changing symbol, session, exchange, or timeframe changes the engine context.
For these reasons, Sweep Reclaim Entry Engine should be used as an educational decision-support and chart-analysis tool, not as a standalone automated strategy.
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👤 WHO THIS SCRIPT MAY BE USEFUL FOR
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This script may be useful for traders who:
• study liquidity sweeps
• monitor confirmed swing highs and lows
• distinguish a sweep from a reclaim
• prefer filtered signals instead of every wick event
• want a visible level lifecycle
• want ATR-normalized penetration thresholds
• want same-candle and multi-bar reclaim support
• want a transparent 0–100 quality framework
• want A+, A, and B setup grades
• want chart and confirmed HTF EMA context
• want optional market-regime filtering
• want Entry, SL, and TP visualization
• want one active model at a time
• want clean SL result handling
• want adjustable mobile and desktop presentation
• want alert-based monitoring
• want a structured educational analysis process
It may be less suitable for users who:
• want guaranteed buy/sell signals
• want a fully automated trading bot
• want every wick beyond every high or low
• expect the quality score to represent probability
• expect one configuration to work on every market
• require exact tick-level execution simulation
• expect displayed levels to match broker fills
• want an indicator to replace independent judgment
• expect alerts to execute orders automatically
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🧭 BEST PRACTICE SUGGESTIONS
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For a cleaner and more selective review:
• begin with Structural swing mode
• keep First Penetration Only enabled
• use Nearest Valid Level or Highest Quality according to preference
• keep Strict reclaim strength
• keep Strict quality filtering
• use Combined EMA bias
• select a valid higher timeframe
• use Same Direction cooldown
• keep the same-direction cluster filter enabled
• use Stop First for conservative same-candle modeling
• use Important Only sweep labels
• use Clean visual profile
• keep the dashboard in Compact or Full mode while learning
• use alerts for monitoring, not blind execution
For more active signal frequency:
• use Balanced or Reactive swing mode
• use Balanced reclaim strength
• use Balanced quality filtering
• reduce cooldown
• reduce minimum signal distance
• use Chart EMA or disable trend bias
• keep the hard market filter Off
• use All Valid sweep labels only when additional chart detail is useful
Always:
• review the structural level before the sweep
• confirm the reclaim candle has closed
• verify the setup fits personal market context
• compare the stop with nearby structure and volatility
• treat TP as a planning reference
• test the exact symbol and timeframe
• apply independent risk management and position sizing
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🔓 PUBLICATION NOTE
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Sweep Reclaim Entry Engine is published as an educational and visual market-analysis tool.
The purpose of this description is to explain:
• what the script does
• how swing points are confirmed
• how levels are stored and managed
• how Fresh, Armed, Swept, Reclaimed, and Consumed states work
• how penetration type is classified
• how minimum and maximum sweep depth work
• how reclaim timing works
• how reclaim strength is evaluated
• how the 0–100 quality score is calculated
• how A+, A, and B grades are assigned
• how candidates are selected
• how cooldown and clustering operate
• how opposite-direction conflicts are handled
• how chart and confirmed HTF bias work
• how market-condition filters operate
• how Entry and Stop Loss are calculated
• how the RR target is projected
• how one-active-trade logic works
• how same-candle ambiguity is handled
• how active and completed visuals behave
• how SL-specific cleanup works
• what the dashboard displays
• what static and dynamic alerts do
• what the timing limitations are
• what the script’s limitations are
• why the implementation is original
The script is designed to support structured analysis.
It does not promise profitable results.
It does not remove market risk.
It does not execute trades.
It should not be used as a blind buy/sell system.
MAIN CHART SCREENSHOT PLAN
Use one clean standard candlestick chart.
Show the indicator with its default settings.
The screenshot should contain:
• one clearly visible confirmed swing level
• one visible SWEEP HIGH or SWEEP LOW event
• one BUY RECLAIM or SELL RECLAIM label
• one active Entry / TP / SL model
• the thick white Entry line
• the blue/cyan TP area
• the red SL area
• the bottom-right dashboard
• the symbol and timeframe
• the indicator title in the status line
Do not include:
• other indicators
• manual drawings
• unrelated labels
• social links
• promotional text
• performance claims
• account-profit screenshots
• non-standard candles
• excessive zoom
• hidden price candles
The screenshot should demonstrate the script’s normal default behavior and make the swing, sweep, reclaim, risk model, and dashboard easy to understand.
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🛡️ DISCLAIMER
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Sweep Reclaim Entry Engine is provided for educational and informational purposes only.
It does not constitute financial, investment, trading, legal, or tax advice.
No indicator can guarantee future results.
Markets are uncertain, liquidity conditions change, volatility changes, and historical chart behavior does not ensure future performance.
Every user is responsible for their own:
• analysis
• validation
• risk management
• position sizing
• alert configuration
• trading decisions
• broker execution
• legal and tax obligations
The confirmed swing levels, lifecycle states, sweep labels, reclaim labels, quality scores, setup grades, bias states, market-condition states, Entry references, stop-loss levels, take-profit targets, TP / SL boxes, result labels, dashboard values, internal model counters, and alerts are visual analysis tools only.
The displayed Entry is not a guaranteed fill.
The displayed Stop Loss is not a broker order.
The displayed target is not a guaranteed objective.
The 0–100 quality score is not a win probability.
The A+, A, and B grades are not promises of performance.
The internal trade model does not include spread, commissions, slippage, latency, order-book conditions, or partial fills.
Use this script as a structured sweep-reclaim review and decision-support framework, not as a promise of profitability or a substitute for independent judgment.
Indicator
Choppiness Setup Planner [AGPro Series]Choppiness Setup Planner
🧠 Core Idea
Is this choppy market still a no-trade environment, or has it matured into a valid setup with defined risk, invalidation, and targets?
📌 Overview / What it does
Choppiness Setup Planner is a planner-style overlay built for one of the most common decision problems in technical analysis: what should a trader do when price is trapped inside a choppy range, but pressure starts building near the edge?
The script detects no-trade chop conditions, builds a decision range around the active structure, scores setup quality from 0 to 100, and turns a mature range release into a clear planning map with invalidation and target levels. Instead of only saying "the market is choppy," it answers whether the setup is still avoidable, preparing, weak, valid, active, or invalidated.
The cleanest visual use case is higher-timeframe planning. Weekly and daily charts allow the full range-to-plan lifecycle to breathe: no-trade structure, preparation, release, target, and invalidation can all be read without the chart feeling crowded.
It does not automate execution, predict future price, or replace personal trade selection. It is an analytical planner designed to organize context, risk, and next-action state directly on the chart.
🎯 Purpose & Design Philosophy
This script was built because many market-state tools show information without helping the user make a decision. A Choppiness Index value, ADX filter, or range box can be useful, but those outputs often stop before the practical question: what now?
Choppiness Setup Planner fills that gap by connecting chop detection with a structured planning workflow. It is intended for discretionary traders, breakout traders, and range-to-expansion traders who want to avoid low-quality noise while preparing for stronger releases from mature ranges.
The design philosophy is simple: first protect attention, then qualify the setup, then map risk only when the structure deserves it.
⚡ Why This Script Is Different
Most tools focus on detecting chop, drawing a box, or marking a breakout.
This script does NOT act like a generic signal indicator, generic support/resistance tool, or simple Choppiness Index panel.
Instead, it turns a choppy market into a decision sequence:
1. Detect the no-trade environment.
2. Track range age and pressure.
3. Grade setup validity with a 0-100 score.
4. Define the next action state.
5. Map invalidation and targets only after a valid release.
That makes the script closer to a decision engine than a visual marker. It is also intentionally separated from manual position planners: users do not enter their own position parameters. The script derives its planning levels from the detected chop range and the release quality model.
⚙️ Methodology
1. Context Detection
The engine blends Choppiness Index, directional weakness, path efficiency, range tightness, wick noise, and volatility behavior to determine whether the market is inefficient enough to qualify as a no-trade chop environment.
2. Reference Mapping
When chop persists long enough, the script builds a decision range around the active structure. This range is not a generic support/resistance zone; it is a planning container for the current no-trade condition.
3. Reaction Evaluation
The script evaluates whether pressure is improving through range age, chop release, ADX lift, path-efficiency improvement, ATR lift, edge pressure, candle body quality, close quality, and optional volume participation.
4. Visual Output
The chart displays the no-trade ribbon, decision range box, centered zone label, preparation markers, valid plan markers, weak-release markers, invalidation level, target levels, and a compact AGPro planner panel.
🗺️ How to Read the Chart
Zones represent the active no-trade decision range. A centered label inside the box shows whether the structure is still a no-trade zone or has moved into preparation mode.
Labels represent state changes. PREP marks a mature range with improving setup quality. PLAN UP and PLAN DN mark valid releases. SKIP marks a release that happened but failed the minimum plan-quality threshold. T1, T2, and INVALID track the active plan lifecycle.
Colors follow the AGPro state palette. Teal is used for stronger upside planning states, pink for downside or invalidation states, amber for caution and no-trade states, and indigo for preparation/readiness.
The panel shows Setup Quality, Next Action, Chop / Ready, Range Age, Invalidation, and Targets.
🚦 Signals & States
• Avoid: Chop → the market is inefficient and still belongs in no-trade mode.
• Prepare: Edge Watch → the range has matured and internal readiness is improving.
• Skip: Low Quality → price released from the range, but the quality score was not strong enough.
• Track Upside Plan → upside release met the minimum valid plan score.
• Track Downside Plan → downside release met the minimum valid plan score.
• Manage: T1 Reached → the active plan reached its first target level.
• Review: T2 Reached → the active plan reached its second target level.
• Reset: Invalidated → the active plan crossed its invalidation level.
🔔 Alerts Logic
Alerts are available for preparation state, valid upside plan, valid downside plan, weak release, Target 1 reached, Target 2 reached, and invalidation.
Each alert is an attention marker. Alerts are not trade instructions, not automation rules, and not execution commands.
🧩 Confluence Logic
The setup becomes stronger when a mature chop range aligns with improving readiness, edge pressure, candle body participation, release distance, and optional volume participation.
When these components align, the script can convert the release into a valid plan. When price releases without enough score, the script marks the event as SKIP instead of treating every breakout as useful.
📊 When to Use
• Choppy markets where the user needs a no-trade filter.
• Weekly, daily, and 4H planning where range structure matters more than micro-noise.
• Mature ranges that may be preparing for expansion.
• Breakout-preparation workflows.
• Range-to-trend transition monitoring.
• Symbols where invalidation and target structure should be visible before acting.
⚠️ When NOT to Use
• Extremely illiquid markets with unreliable candles.
• Symbols where volume data is misleading, unless volume participation is disabled.
• News-driven spikes where a single candle can distort range logic.
• Very low timeframes with excessive spread noise.
• Scalping workflows that require rapid-fire signals instead of structural planning.
• Markets where the user has no broader context for trend, liquidity, or session behavior.
🎛️ Key Inputs
• Choppiness Length → controls the chop-detection backbone.
• Decision Range Length → controls how the active no-trade range is framed.
• Minimum Range Age → controls how long chop must persist before planning begins.
• Preparation Threshold → controls when the range moves from avoid mode to preparation mode.
• Minimum Valid Plan Score → controls how selective valid plan labels should be.
• Release Buffer ATR → controls how far price must move beyond the range boundary.
• Invalidation Buffer ATR → controls the distance behind the released boundary used for invalidation.
• Target 1 / Target 2 R Multiples → control target projection from the plan risk.
• Panel Location / Theme / Font Size → control the AGPro panel interface.
• Label Font Size / Cooldown / Maximum Visible Labels → control chart readability.
🖥️ Interface & Visual Design
The interface is designed around fast decision reading. The chart carries the range box, no-trade ribbon, centered zone label, event labels, and active risk/target levels. The panel summarizes the same workflow without becoming a large dashboard.
The first panel row follows the AGPro standard: one merged blue header row containing only the script name.
Visual density is intentionally moderate. The chart should not look empty, but it should also avoid crowded signal spam.
🧪 Practical Usage Workflow
1. Read the panel.
Check Setup Quality and Next Action first.
2. Check the decision range.
If the box says NO-TRADE, the structure is still inefficient. If it says PREP, the range is maturing.
3. Evaluate the release.
A valid PLAN label means the release met the quality threshold. A SKIP label means the release was not strong enough.
4. Review invalidation and targets.
When a plan is active, use the plotted levels to understand structure, not as automatic orders.
5. Confirm broader context.
Combine the planner output with trend, liquidity, timeframe, session, and personal execution rules.
For publication screenshots, higher-timeframe examples are usually the cleanest because they show the complete planning sequence without compressing labels and boxes into a noisy layout.
🔍 Interpretation Guidelines
Think in states, not isolated signals.
NO-TRADE protects attention.
PREP means the market is becoming more interesting.
PLAN means the release has enough structure to track.
SKIP means the release happened but did not earn quality.
INVALID means the plan lost its structural premise.
🚫 What This Script Is NOT
This script is not a prediction engine.
It is not financial advice.
It is not auto trading.
It is not guaranteed signals.
It is not a strategy tester.
It is not a replacement for independent analysis.
⚠️ Limitations & Transparency
The script is rule-based and depends on selected inputs, timeframe, volatility, and available market data.
Different symbols and sessions can produce different behavior. Low liquidity, sudden volatility shocks, and abnormal gaps can reduce the usefulness of range-based planning.
Volume participation is optional because volume quality differs across markets and feeds.
🧠 Market Context Notes
Chop is not always weakness. Sometimes it is absorption, sometimes indecision, and sometimes simple noise. The script does not claim to know the cause. It organizes the observable structure so the user can decide whether the environment is worth attention.
🧾 Use Case Examples
When price spends several bars inside a tight inefficient range and the panel says Avoid: Chop, the script is acting as a no-trade filter.
When the range matures and the centered label changes to PREP, the script is showing that pressure has improved enough to monitor the edge.
When price releases and receives PLAN UP or PLAN DN, the script maps invalidation and targets from the structure.
When price releases but receives SKIP, the script is saying the event did not meet the model's quality threshold.
On weekly charts, a single valid plan can show the entire decision chain: range maturity, preparation, release, target reaction, and invalidation. This is the strongest showcase environment for the script.
🧱 System Philosophy
AGPro tools are built around structured decision support: define the condition, score the quality, map the relevant structure, and keep the chart readable.
Choppiness Setup Planner follows that philosophy by turning a noisy no-trade environment into a cleaner decision workflow.
🔐 Non-Promise Statement
No script can provide certainty.
No score guarantees follow-through.
No label guarantees an outcome.
📉 Risk Disclosure
Trading involves risk. Market conditions can change quickly, planned setups can fail, and losses can occur. This script is provided for educational and analytical use only. It does not provide financial advice or guaranteed trading outcomes. Users remain responsible for their own analysis, decisions, risk management, and execution.
📚 Educational Note
Use this script to study how choppy markets mature, how range releases differ in quality, and how invalidation and target logic can be organized visually before a decision is made. Indicator
SuperTrend Flip Zones [AGPro Series]# SuperTrend Flip Zones
🔷 OVERVIEW
SuperTrend Flip Zones is a trend-following overlay designed for traders who appreciate the clarity of SuperTrend, but want a more selective and more structured version of it on the chart.
Traditional SuperTrend tools are popular because they are simple: the line flips, the color changes, and the chart immediately prints a directional signal. That simplicity is useful, but it also creates a familiar weakness. In many market conditions, raw SuperTrend flips can appear too early, too close to noise, or without enough expansion to show that a genuine directional transition is taking hold.
This script was built to solve that exact problem.
Instead of treating every SuperTrend direction change as equally meaningful, SuperTrend Flip Zones evaluates the quality of the flip itself. Only qualified flips are promoted into visible BUY / SELL events, and each accepted signal creates a forward-projecting support or resistance zone built around the new SuperTrend structure.
The result is not just another SuperTrend clone with different colors. It is a more selective, more chart-aware framework that helps traders judge whether a flip is worth paying attention to, and where the new trend should continue to defend itself after that flip occurs.
🔷 WHAT MAKES THIS DIFFERENT
The biggest difference is that this script does not stop at the flip.
Most SuperTrend indicators on the platform focus on one task only:
detect the directional switch and mark it immediately.
SuperTrend Flip Zones takes a broader view. It asks two additional questions:
1. Was the flip strong enough to deserve attention?
2. After the flip, where is the live structural zone that the new trend is expected to protect?
That design choice creates a very different chart experience.
Instead of receiving every mechanical transition equally, the user sees a filtered signal environment. Weak flips can be ignored, while stronger flips remain visible and are reinforced by an ATR-based zone that extends forward. This makes the tool useful not only at the exact moment of the flip, but also in the bars that follow, when traders are deciding whether the move is still being respected.
It also creates clear separation from other AGProLabs tools in the same family.
This is not a pullback-quality script.
It is not focused on grading retracements inside an already established trend.
It is focused on the transition point itself, and on the acceptance zone created by that transition.
🔷 CORE LOGIC
The script is built around a custom SuperTrend engine using the selected ATR model, source, and multiplier.
When the direction flips, the script does not blindly trust the event. The flip is scored through a multi-factor quality model that examines:
- candle body efficiency,
- range expansion relative to ATR,
- price separation from the active SuperTrend line,
- alignment with a trend EMA,
- maturity of the prior trend leg before the reversal occurred.
Only flips that meet the minimum quality threshold are accepted.
Once a bullish or bearish flip qualifies:
- a BUY or SELL signal is printed,
- the signal can be promoted to BUY+ or SELL+ when the score is stronger,
- a rectangular support or resistance zone is created around the new SuperTrend level,
- that zone is extended forward to provide ongoing structure.
This makes the indicator useful both as a signal filter and as a post-signal map.
🔷 WHY THE ZONES MATTER
A standard SuperTrend line tells you where the trailing stop or directional boundary currently sits.
This script adds another layer by converting qualified flips into live zones. Those zones are important because they help visualize where the market should continue to accept price if the new directional phase is healthy.
In bullish conditions, the zone behaves like a dynamic support belt around the fresh SuperTrend structure.
In bearish conditions, the zone behaves like a dynamic resistance belt.
If price continues to respect that zone, the flip remains structurally valid.
If price loses the zone, the chart communicates that the new directional state is weakening or failing.
This produces a more practical read than a line alone, especially for traders who do not always enter on the exact signal bar and instead evaluate continuation quality after the move begins.
🔷 VISUAL DESIGN
The script is designed to look polished and organized without overloading the chart.
Visual elements include:
- bullish and bearish SuperTrend line states,
- restrained BUY / SELL labels,
- right-extending flip zones,
- soft trend cloud for directional context,
- compact AGPro panel with merged header row,
- configurable panel placement,
- dark and light theme support,
- adjustable label and panel text sizing.
The goal is to keep the chart premium and readable rather than dense and noisy.
🔷 HOW TO USE IT
SuperTrend Flip Zones is most useful for traders who want a higher-quality directional read rather than every raw SuperTrend crossover.
A typical workflow is:
- use the line and cloud to identify the active directional state,
- wait for a qualified BUY or SELL rather than reacting to every raw flip,
- monitor the projected zone as a live support or resistance area,
- observe whether price continues to defend that zone or loses it.
This makes the script suitable for discretionary trend-following, continuation analysis, and cleaner overlay-based chart reading.
🔷 BEST FIT
This tool is especially useful for:
- traders who already use SuperTrend but want cleaner signal selection,
- traders who prefer support / resistance style context after the flip,
- users who want a premium visual overlay without excessive label density,
- trend traders who want a more selective buy sell workflow.
🔷 TRANSPARENCY
This is an analytical indicator, not a trading strategy.
Like all trend-following tools, it can become less effective in highly compressed or directionless market conditions. The filtering logic is designed to reduce weak transitions, but it does not replace chart context, timeframe awareness, or risk management.
All logic is based on confirmed bar data inside the script framework. The purpose is to organize price action more clearly, not to guarantee future market behavior. Indicator
Auto Trendline Break Quality [AGPro Series]Auto Trendline Break Quality
🔹 OVERVIEW
Auto Trendline Break Quality is a structural break-quality engine. It automatically detects bullish and bearish trendlines from swing pivots, monitors every break event in real time, and assigns each break a 0–100 quality score derived from four independent quantitative factors. The tool separates Major (structural) and Minor (tactical) trendlines, so the same break can be evaluated against multiple layers of market structure at once.
The script is purpose-built to answer the single most practical question a price-action trader faces at a trendline break: "Is this break real, or is it a fake-out?"
🧭 UNIQUE EDGE
Most trendline scripts either draw trendlines or flag a break. They stop there. This indicator continues where they stop — and measures the break.
Key differentiators:
• Four-factor composite quality score (Volume · Slope · Impulse · Retest) calibrated to ATR, so the scoring is consistent across assets and timeframes.
• Major/Minor trendline hierarchy. A Major structural break automatically earns a score bonus and is visually flagged with a "MAJ" tag, so structural breaks are never confused with noise breaks.
• State-based visual language. Active trendlines render in a neutral tone. On break, the trendline transitions to the break-direction color (bullish break = bull color, bearish break = bear color), so the chart communicates state without ambiguity.
• Retest logic built directly into the score. A break that is retested and holds within the defined window receives an upgrade; a failed retest downgrades the score. The chart label reflects the final, updated quality.
• Optional zone-band rendering around Major trendlines, letting the user see each structural line as a reaction zone rather than a bare line.
• Label confluence grouping to prevent chart clutter when multiple breaks occur near the same price level.
⚙️ METHODOLOGY
1) Trendline detection
Pivots are identified using standard pivot-high and pivot-low logic with two configurable lookbacks — one for Major trendlines and one for Minor. A new trendline is validated between the two most recent same-side pivots when the slope (ATR-normalized) exceeds the minimum threshold. Nearly-flat trendlines are rejected by design.
2) Break detection
A trendline is considered broken when the current candle closes on the opposite side of the projected line while the previous candle closed on the valid side. This one-bar confirmation rule avoids intra-bar flicker.
3) Quality scoring (0–100)
• Volume expansion vs 20-bar average — up to 25 points
• ATR-normalized slope steepness — up to 20 points
• Break-bar impulse measured in ATR from the line — up to 25 points
• Retest base score — 18 points, upgraded by +15 on a held retest, or reduced by 10 on a failed retest
• Major trendline bonus — +10 points
4) Retest tracking
After a break, the script watches a configurable window (default 3–8 bars) for price to return to the broken trendline within an ATR tolerance. Held retests and failed retests are tracked independently and reflected in the panel's Retest Held Rate. Retest markers are offset from the trendline in ATR units to prevent overlap with candles.
📊 SIGNALS & STATES
• Break label: "BREAK Q: · " and an optional "MAJ" tag for Major trendlines. Label color tier: High quality renders in full state color, Medium quality in neutral amber, Low quality in a muted tone.
• Retest marker: Small circular marker with "retest held" or "retest failed" text, offset from the trendline for clarity.
• Break bar border: Optional candle-border color that reflects break direction.
• Panel: Active trendlines per side, last break score and direction, overall break-direction breakdown, retest held rate, quality distribution (High/Medium/Low), total breaks tracked, and the current detection mode.
• Alerts: "High Quality Trendline Break" and "Major Trendline Break" — both standard alertcondition entries.
🎛️ KEY INPUTS
• Major / Minor Pivot Length — controls how many bars each side of a pivot must be a local extreme.
• Show Minor Trendlines — toggle tactical layer on top of structural layer.
• Max Active Trendlines per Side — caps the chart clutter.
• Volume Spike Threshold (x Avg) — ratio at which a volume expansion is considered full.
• Retest Min/Max Bars — bar range for a valid retest.
• Retest Tolerance (ATR) — how close price must come to the broken line to count as a retest.
• High / Medium Quality Thresholds — cutoffs for the three quality tiers (defaults: 70 / 50).
• Show Trendline Zone Band — renders a subtle ATR-based band around Major trendlines.
• Zone Band Width (ATR) — controls the thickness of the zone band.
• Label Confluence Grouping (ATR) — merges break labels that land within this ATR distance on nearby bars.
• Label Offset (ATR) — vertical padding so labels never embed in candles.
• Label / Panel / Help font sizes — all default to Normal.
• Panel Position and Theme — six positions, Dark/Light theme.
🧩 HOW TO USE
The indicator is a decision-support layer, not a standalone trading system.
• Treat a break with Q ≥ 70 and a "MAJ" tag as a structural event worth reviewing the higher-timeframe bias for.
• Use the retest window as a patience filter. A break with Q 55–69 that retests and holds often upgrades to a higher-quality setup after the retest.
• Failed retests are not "bad" — they are information. A failed retest on a low-quality break is a strong hint that the break was noise.
• The neutral-color active trendlines are intentional — they tell you where structure exists without biasing your read. Color appears only when structure breaks.
• Combine with your own confluence (volume profile, horizontal support/resistance, higher-timeframe trend). The script does not enter trades; it tells you how reliable a break looks at the moment it happens.
⚠️ LIMITATIONS & TRANSPARENCY
• Quality scores describe historical pattern behavior. They are not predictive probabilities.
• Trendlines are generated from pivots; the final pivot is always confirmed after the pivot-length bars have elapsed. This is standard pivot behavior and is not a repaint of historical marks — past labels remain fixed once a break bar closes.
• The script draws up to the platform's line/label limits. Older trendlines are removed when the active cap is reached.
• Parameter defaults target 4H–1D charts; lower timeframes benefit from smaller pivot lengths and tighter retest windows.
📜 RISK DISCLOSURE
This script is an analytical tool. It does not provide financial advice, investment recommendations, or a trading strategy. Past performance of any pattern, including trendline breaks, does not guarantee future results. Always perform your own analysis and apply proper risk management before making any trading decision. Indicator
Liquidity Grab Detector [AGPro Series]🧲 LIQUIDITY GRAB DETECTOR
Detects single-bar multi-level liquidity raids — the precise moment price sweeps a cluster of 2 or more distinct liquidity pools within a single candle and immediately reverses. Built for ICT, Smart Money, and institutional order-flow analysis, this engine identifies the liquidity raids that matter most: simultaneous multi-level stop hunts that typically precede the sharpest reversals.
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🔹 OVERVIEW
Most liquidity tools either track single sweeps or lifecycle-based breach-and-reclaim patterns. This detector focuses on a different, rarer, and higher-conviction event: the single-bar multi-level raid. When one candle sweeps a cluster of two or more untouched liquidity levels (swing highs/lows, session H/L, previous day H/L, previous week H/L) in a single motion, the odds of a meaningful reversal increase significantly. The engine validates each grab with four independent filters, deduplicates overlapping levels, merges adjacent reversal zones for a clean chart, tiers signals by quality, and projects forward target zones.
One-click preset modes (Aggressive / Balanced / Conservative / Custom) make the detector instantly suitable for any style — from high-frequency scalping to premium-only confluence trading — without manual tuning.
This is not a strategy and makes no directional prediction. It is a detection and visualization engine for a specific institutional order-flow footprint.
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🔹 UNIQUE EDGE — HOW THIS DIFFERS
The single-bar multi-level criterion is the defining separator from conventional liquidity tools:
▪ Traditional liquidity sweep detectors flag any single-level sweep. High signal rate, low conviction per signal.
▪ Breach-and-reclaim engines (equal-highs / equal-lows style) require a full lifecycle across multiple bars. Different mechanic, different timing.
▪ This detector requires a cluster of 2+ distinct liquidity levels to be swept in a single candle, within a user-defined ATR proximity. ATR-normalized thresholds adapt across all timeframes and symbols.
▪ ATR-based level deduplication merges coincident sources (e.g. Swing + PDH stacked at the same price) into a single logical level, preventing inflated sweep counts.
▪ Zone overlap-awareness: adjacent same-direction reversal zones are merged into a single extended zone rather than piling multiple boxes on top of each other. Premium, chart-clean visualization.
▪ Strikethrough length clamp keeps historical consumed-level lines from crossing the entire chart, even on long-running indicators.
▪ Preset modes encapsulate calibrated filter stacks, making the detector genuinely plug-and-play.
The combined filter stack (cluster + volume + wick + reversal + cooldown + dedup + zone-merging) produces fewer but significantly higher-quality signals with a clean visual footprint.
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🔹 METHODOLOGY
Preset modes calibrate the detection engine with one selection:
▪ Aggressive — minimum 2 levels, 0.7 ATR cluster, 1.1× volume, 0.15 ATR wick, 2 bar cooldown.
▪ Balanced — minimum 2 levels, 0.45 ATR cluster, 1.5× volume, 0.3 ATR wick, 5 bar cooldown. Default.
▪ Conservative — minimum 3 levels, 0.35 ATR cluster, 2.0× volume, 0.45 ATR wick, 10 bar cooldown. Premium-only.
▪ Custom — honors manually configured input values.
Level registry with deduplication. The script maintains a live registry of untouched liquidity levels built from four configurable sources. Incoming levels within a configurable ATR tolerance of an existing level are merged. Each level is time-stamped, capped at a configurable maximum count, and pruned once it ages beyond the lookback window or is consumed by a grab.
Cluster detection. On every bar, the engine scans active levels on both sides and classifies a bar as a multi-level sweep candidate when it penetrates the minimum level count whose vertical span fits within the ATR proximity band.
Confirmation layers:
1. Volume spike — grab bar volume must exceed the rolling SMA by the preset multiplier.
2. Wick ratio — rejection wick on the grab side must exceed the preset ATR fraction.
3. Immediate reversal — within a configurable window, price must close back beyond the swept cluster.
4. Cooldown — after a confirmed grab, new detections are suppressed.
Zone overlap-awareness. When a new grab's reversal zone falls within a configurable ATR distance of a recent same-direction zone, the existing zone is extended rather than drawing a new overlapping box. Aggregate targets stay clean.
Quality tier classification. Confirmed grabs are automatically tiered by level count, with 4-level grabs and 5+ level grabs receiving progressively stronger visual emphasis.
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🔹 SIGNALS & VISUALS
Confirmed bullish grab — triangle marker below the bar, "LIQ GRAB · N levels swept" label with tier stars for high-quality grabs, and a forward-projected reversal zone above the cluster with a target micro-label.
Confirmed bearish grab — mirror image with bear coloring.
Stagger-aware label placement. When multiple confirmed grabs occur close together on the chart, their labels are automatically offset vertically to prevent visual overlap.
Clean default visual profile. Swept-level strikethrough lines are disabled by default for a premium chart-clean look; enable them for detailed post-grab review. When enabled, a max-age clamp prevents extremely long lines.
Statistics panel (8 rows) — active level count, total grabs, bars since last grab, last grab source composition (dynamic, e.g. "PDL+Swing"), bullish vs bearish breakdown, reversal success rate, and average levels swept per grab.
Alerts — separate alert conditions for bullish and bearish grab confirmations, triggered on bar close.
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🔹 KEY INPUTS
Detection Engine
▪ Preset Mode — Aggressive / Balanced / Conservative / Custom.
▪ Minimum Levels Swept, Cluster Proximity, Cooldown — honored in Custom mode.
▪ Level Deduplication (ATR) — merge tolerance for coincident levels.
▪ Level Lookback, Max Active Levels — registry housekeeping.
Liquidity Level Sources — swing highs/lows, session H/L, PDH/PDL, PWH/PWL.
Confirmation Filters — volume multiplier and averaging length, reversal window, minimum wick ratio, ATR length.
Visuals
▪ Toggle labels, strikethroughs, zones, statistics panel.
▪ Label and panel font size (default Normal).
▪ Panel position (8 options) and theme (Dark / Light).
▪ Zone projection length, zone height, zone transparency.
▪ Zone merge distance (ATR-based overlap suppression).
▪ Max strikethrough length (bars).
═══════════════════════════════════════
🔹 HOW TO USE
1. Start with Balanced preset on any timeframe. The ATR-based cluster logic adapts automatically, but 15m–4H timeframes on liquid instruments produce the cleanest signal set.
2. Switch to Conservative for premium-only signals at key institutional levels, or Aggressive when scalping intraday liquidity dynamics.
3. Watch for grab labels near well-defined liquidity clusters — session opens, PDH/PDL interactions, and at range edges. Tiered grabs (4+ levels raided in one bar) deserve special attention.
4. Use the reversal projection zone as a reference target area, not a mechanical take-profit. Combine with your existing structure, order blocks, or mean-reversion levels.
5. Check the "Last Sources" panel row to see which specific liquidity pools were raided most recently.
6. For detailed post-grab analysis, enable "Show Swept Level Strikethroughs" in the Visuals group. For a clean chart, leave disabled.
7. For fine-grained control, select Custom mode and adjust each filter manually.
═══════════════════════════════════════
🔹 LIMITATIONS & TRANSPARENCY
▪ No repaint on confirmed signals — grabs are finalized only after the reversal window closes with all filters passing. Swing pivots used as level sources are inherently delayed by the pivot length (standard pivot behavior).
▪ The reversal success metric uses a fixed 1 ATR / 10 bar definition and is provided as context only. It is not a performance claim or win rate.
▪ In strongly trending markets, multi-level sweeps can occur without reversal, producing failed grabs. The filter stack reduces but does not eliminate this.
▪ On very low-liquidity symbols or extremely short timeframes, volume data can be noisy. Consider disabling the volume filter in those conditions.
▪ Session, PDH/PDL, and PWH/PWL levels are derived from the chart symbol's native session definition.
═══════════════════════════════════════
🔹 RISK DISCLOSURE
This indicator is an analytical and visualization tool. It does not generate buy or sell recommendations, does not guarantee any outcome, and is not a trading strategy. All trading decisions are the sole responsibility of the user. Past pattern behavior does not guarantee future results. Always combine indicator output with your own analysis, risk management, and position sizing framework. Indicator
Trend Strength Meter [AGPro Series]Trend Strength Meter
⚡ OVERVIEW
Trend Strength Meter is a multi-factor composite oscillator that quantifies how strong a directional trend actually is, on a single 0-to-100 score. It merges five independent trend dimensions (ADX, slope angle, momentum ROC, moving-average alignment, and pullback depth) into one weighted reading, then classifies the market into three clear states: Strong Trend (80+), Mild Trend (50-80), and Weak / Range (<50). The goal is to give a trader the answer to one of the most common daily questions in technical analysis: "Is the trend strong enough to act on right now, or is it fading?"
The indicator is built for discretionary and systematic traders who want a single, normalized number instead of reading half a dozen separate trend tools. It is scale-invariant (ATR-normalized) and works across timeframes and instruments.
🎯 UNIQUE EDGE
Trend-strength tools usually give a single-factor reading (for example, ADX alone) which can be misleading. ADX can be high during range contractions, slopes can spike during noise, MA stacks can be aligned while price sits deep in pullback. This indicator fuses all five dimensions so that no single factor can dominate the score without confirmation from the others.
Three design choices set it apart:
1. Weighted multi-factor composite. Every factor is independently normalized to 0-100, then combined with user-adjustable weights that auto-normalize. A Strong reading therefore requires broad agreement across independent trend dimensions, not just one signal firing.
2. Dominant Factor readout. The information panel shows which of the five factors is contributing most to the current score, so the trader understands why the score is where it is. A score of 84 driven by ADX and a score of 84 driven by Alignment are structurally different markets, and the readout makes that visible.
3. Historical context built in. The panel exposes Historical Max Score over a configurable lookback window, and Strong-Trend Duration (how many bars the score has held above the Strong threshold). Both of these help gauge trend maturity and exhaustion risk.
📊 METHODOLOGY
The composite score is built from five independently scored factors, each normalized to 0-100:
• Factor 1 — ADX. Directional movement strength from the standard DMI/ADX system, linearly mapped so that ADX = 60 maps to a score of 100.
• Factor 2 — Slope Angle. The slope of an EMA over its length window, normalized by ATR to be scale-invariant, then converted to a 0-100 score via an arctangent curve. High slope in either direction yields a high score.
• Factor 3 — Momentum ROC. Rate of Change normalized by ATR and converted to a bounded 0-100 value. Captures impulse magnitude independent of price scale.
• Factor 4 — MA Alignment. Stacked EMA alignment across Fast / Mid / Slow timeframes, plus price position relative to the fast MA. Full bullish or bearish stack yields 100; partial stacks are scored proportionally (70, 40, or 15).
• Factor 5 — Pullback Depth. Distance from the nearest recent extreme (highest high or lowest low over lookback) measured in ATR units. Shallow pullback = strong trend = high score.
Each factor is multiplied by its weight, summed, and divided by total weight to produce the final 0-100 score. All five weights are independently adjustable and auto-normalize, so changing one weight does not force manual rebalancing of the others.
Directional bias (Bull / Bear / Range) is determined by the combination of DMI crossover state and close-vs-mid-MA position. State color shifts between strong bull green, strong bear magenta, neutral yellow, and weak gray based on score plus direction.
🔥 VISUAL SYSTEM
Six coordinated visual elements deliver the information without clutter:
• Score histogram on the sub-panel, colored per bar by that bar's own score level (green for Strong, yellow for Mild, gray for Weak / Range). Each historical bar shows its true state at the time, not the current state.
• Horizontal reference lines at the Strong (green) and Mild (yellow) thresholds on the sub-panel.
• Historical Max step line in indigo accent, showing the highest score reached within the lookback window, so past trend peaks are immediately visible.
• Mini Gauge on the right edge of the sub-panel. A compact vertical meter split into two halves: left half shows the fixed 0-100 zone reference (Weak / Mild / Strong), right half fills up to the current score, with a bold needle line marking the exact level.
• Price badge floating above the last candle, showing "TSM " so the reading is visible without needing to look at the panel.
• Information panel on the price chart with seven rows: Score, State, Direction, Dominant Factor, Historical Max, and Strong Bars duration.
🧭 SIGNALS AND ALERTS
Three built-in alerts:
• Strong Bull Entry — Score crosses above the Strong threshold while directional bias is Bull.
• Strong Bear Entry — Score crosses above the Strong threshold while directional bias is Bear.
• Trend Fade — Score drops below the Mild threshold, indicating the trend is weakening.
All alerts fire once per bar close, so there is no intra-bar repainting.
🧮 KEY INPUTS
Core Settings
• ADX Length, Slope MA Length, Momentum ROC Length, MA Alignment Fast / Mid / Slow, Pullback ATR Length
• Score Smoothing (EMA applied to score for optional overlay line)
• Strong Threshold (default 80), Mild Threshold (default 50), Historical Lookback (default 100 bars)
Factor Weights (auto-normalized)
• ADX 30, Slope 20, Momentum 20, Alignment 20, Pullback 10
Visual
• Badge toggle, Background tint toggle, Reference lines toggle, Mini Gauge toggle, Historical Max line toggle, Smoothed Score line toggle, Label size, Badge ATR offset
Panel
• Show / hide, Position (6 anchors), Theme (Dark / Light), Font size
📈 HOW TO USE
1. Add the indicator to any chart and any timeframe. Defaults are calibrated for 4H / Daily; for lower timeframes consider reducing the ADX and ROC lengths.
2. Use the 0-100 score as a regime filter. Many trend-following setups perform better when the score is above 50, and breakout / continuation setups perform best when the score is crossing above 80 with a clear Bull or Bear direction.
3. Watch the Dominant Factor. A score of 85 driven primarily by Momentum may fade fast; the same score driven by Alignment tends to be more structural.
4. Use Historical Max and Strong Bars to gauge maturity. A Strong-Bars reading of 30+ on a daily chart often signals late-cycle conditions where continuation risk increases and fresh entries need tighter risk management.
5. Combine with structure tools (support / resistance, order blocks, market-structure tools) for entries. This indicator is designed to answer "how strong is the trend," not "where do I enter."
⚠️ LIMITATIONS AND TRANSPARENCY
• This is an indicator, not a trading strategy. It does not produce buy / sell recommendations and it does not backtest trade outcomes.
• The score is a lagging composite built from historical price data. It does not predict future price movement.
• During sharp regime transitions (news events, gap opens), the score can change rapidly from one bar to the next. This is by design, not a bug.
• Factor weights are user-adjustable. Defaults are a reasonable starting point but may need tuning per instrument / timeframe.
• The Pullback factor assumes trending behavior. In tight consolidations it can read misleadingly high, which is why the Dominant Factor readout exists as a cross-check.
• No-repaint: all calculations are based on confirmed (closed) bar data; alerts fire on bar close only.
📌 RISK DISCLOSURE
Trading carries substantial risk. This indicator is an analytical tool for research and study purposes and does not constitute financial advice, a trading signal, or a recommendation to buy or sell any instrument. Past behavior of any indicator is not indicative of future results. Users are solely responsible for their trading decisions and should conduct their own due diligence and risk management.
Indicator
JESUS SAVES Bull-Bear Split CandlesJESUS SAVES Directional Split Candles transforms traditional price bars into a structured two-segment visualization that separates each candle into a bullish and a bearish price component.
Instead of displaying classic bodies and wicks, every bar is divided into two clean, wick-free sections to highlight directional price movement within the same candle.
When open < close, the bullish section spans from low to close, while the bearish section covers close to high.
When open > close, the bearish section spans from high to close, and the bullish section covers close to low.
Importantly, no price information is lost in this transformation. All original OHLC values (Open, High, Low, Close) remain fully represented — they are simply reorganized into two directional segments instead of a traditional candle structure.
This structured view emphasizes internal price distribution and offers a refined perspective on momentum and imbalance inside each bar.
⚠️ Important Chart Setup
PulseWire does not allow scripts to modify or hide the native chart candles (they cannot be programmatically set to white or transparent).
To display only the custom candles, simply open Chart Settings → Symbol and uncheck the checkboxes for Body, Wick, and Border to hide the native candles. Indicator
Stalonte EMA - Stable Long-Term EMA with AlertsStalonte EMA - The Adaptive & Stable EMA - Almost Eternal
Here's why you will love "Stalonte":
The Stalonte (Stable Long-Term EMA) is a highly versatile trend-following tool. Unlike standard EMAs with fixed periods, it uses a configurable smoothing constant (alpha), allowing traders to dial in the exact level of responsiveness and stability they need. Finding the "sweet spot" (e.g., alpha ~0.03) creates a uniquely effective moving average: it is smooth enough to filter out noise and identify safe, high-probability trends, yet responsive enough to provide actionable signals without extreme lag. It includes alerts for crossovers and retests.
Pros and Cons of the Stalonte EMA
Pros:
Unparalleled Adaptability: This is its greatest strength. The alpha input lets you seamlessly transform the indicator from an ultra-slow "trend-revealer" (low alpha) into a highly effective and "safe" trend-following tool (medium alpha, e.g., 0.03), all the way to a more reactive one.
Optimized for Safety & Signal Quality: As you astutely pointed out, with the proper setting (like 0.03), it finds the perfect balance. It provides a smoother path than a standard 20-50 period EMA, which reduces whipsaws and false breakouts, leading to safer, higher-confidence signals.
Superior Trend Visualization: It gives a cleaner and more intuitive representation of the market's direction than many conventional moving averages, making it easier to "see" the trend and stick with it.
Objective Dynamic Support/Resistance: The line created with a medium alpha setting acts as a powerful dynamic support in uptrends and resistance in downtrends, offering excellent areas for entries on retests with integrated alerts.
Cons:
Requires Calibration: The only "con" is that its performance is not plug-and-play; it requires the user to find their optimal alpha value for their specific trading style and the instrument they are trading. This demands a period of testing and customization, which a standard 50-period EMA does not.
Conceptual Hurdle: For traders only familiar with period-based EMAs, the concept of a "smoothing constant" can be initially confusing compared to simply setting a "length."
In summary:
The Stalonte EMA is not a laggy relic. It is a highly sophisticated and adaptable tool. Its design allows for precise tuning, enabling a trader to discover a setting that offers a superior blend of stability and responsiveness—a "sweet spot" that provides safer and often more effective signals than many traditional moving averages. Thank you for pushing for a more accurate and fair assessment.
Use Case Example:
You can combine it with classical EMAs to find the perfect entry.
Indicator
Fusion MFI RSIHello fellas,
This superb indicator summons two monsters called Relative Strength Index (RSI) and Money Flow Index (MFI) and plays the Yu-Gi-Oh! card "Polymerization" to combine them.
Overview
The Fusion MFI RSI Indicator is an advanced analytical tool designed to provide a nuanced understanding of market dynamics by combining the Relative Strength Index (RSI) and the Money Flow Index (MFI). Enhanced with sophisticated smoothing techniques and the Inverse Fisher Transform (IFT), this indicator excels in identifying key market conditions such as overbought and oversold states, trends, and potential reversal points.
Key Features (Brief Overview)
Fusion of RSI and MFI: Integrates momentum and volume for a comprehensive market analysis.
Advanced Smoothing Techniques: Employs Hann Window, Jurik Moving Average (JMA), T3 Smoothing, and Super Smoother to refine signals.
Inverse Fisher Transform (IFT) Enhances the clarity and distinctiveness of indicator outputs.
Detailed Feature Analysis
Fusion of RSI and MFI
RSI (Relative Strength Index): Developed by J. Welles Wilder Jr., the RSI measures the speed and magnitude of directional price movements. Wilder recommended using a 14-day period and identified overbought conditions above 70 and oversold conditions below 30.
MFI (Money Flow Index): Created by Gene Quong and Avrum Soudack, the MFI combines price and volume to measure trading pressure. It is typically calculated using a 14-day period, with over 80 considered overbought and under 20 as oversold.
Application in Fusion: By combining RSI and MFI, the indicator leverages RSI's sensitivity to price changes with MFI's volume-weighted confirmation, providing a robust analysis tool. This combination is particularly effective in confirming the strength behind price movements, making the signals more reliable.
Advanced Smoothing Techniques
Hann Window: Traditionally used to reduce the abrupt data discontinuities at the edges of a sample, it is applied here to smooth the price data.
Jurik Moving Average (JMA): Known for preserving the timing and smoothness of the data, JMA reduces market noise effectively without significant lag.
T3 Smoothing: Developed to respond quickly to market changes, T3 provides a smoother response to price fluctuations.
Super Smoother: Filters out high-frequency noise while retaining important trends.
Application in Fusion: These techniques are chosen to refine the output of the combined RSI and MFI values, ensuring the indicator remains responsive yet stable, providing clearer and more actionable signals.
Inverse Fisher Transform (IFT):
Developed by John Ehlers, the IFT transforms oscillator outputs to enhance the clarity of extreme values. This is particularly useful in this fusion indicator to make critical turning points more distinct and actionable.
Mathematical Calculations for the Fusion MFI RSI Indicator
RSI (Relative Strength Index)
The RSI is calculated using the following steps:
Average Gain and Average Loss: First, determine the average gain and average loss over the specified period (typically 14 days). This is done by summing all the gains and losses over the period and then dividing each by the period.
Average Gain = (Sum of Gains over the past 14 periods) / 14
Average Loss = (Sum of Losses over the past 14 periods) / 14
Relative Strength (RS): This is the ratio of average gain to average loss.
RS = Average Gain / Average Loss
RSI: Finally, the RSI is calculated using the RS value:
RSI = 100 - (100 / (1 + RS))
MFI (Money Flow Index)
The MFI is calculated using several steps that incorporate both price and volume:
Typical Price: Calculate the typical price for each period.
Typical Price = (High + Low + Close) / 3
Raw Money Flow: Multiply the typical price by the volume for the period.
Raw Money Flow = Typical Price * Volume
Positive and Negative Money Flow: Compare the typical price of the current period to the previous period to determine if the money flow is positive or negative.
If today's Typical Price > Yesterday's Typical Price, then Positive Money Flow = Raw Money Flow; Negative Money Flow = 0
If today's Typical Price < Yesterday's Typical Price, then Negative Money Flow = Raw Money Flow; Positive Money Flow = 0
Money Flow Ratio: Calculate the ratio of the sum of Positive Money Flows to the sum of Negative Money Flows over the past 14 periods.
Money Flow Ratio = (Sum of Positive Money Flows over 14 periods) / (Sum of Negative Money Flows over 14 periods)
MFI: Finally, calculate the MFI using the Money Flow Ratio.
MFI = 100 - (100 / (1 + Money Flow Ratio))
Fusion of RSI and MFI
The final Fusion MFI RSI value could be calculated by averaging the IFT-transformed values of RSI and MFI, providing a single oscillator value that reflects both momentum and volume-weighted price action:
Fusion MFI RSI = (MFI weight * MFI) + (RSI weight * RSI)
Suggested Settings and Trading Rules
Original Usage
RSI: Wilder suggested buying when the RSI moves above 30 from below (enter long) and selling when the RSI moves below 70 from above (enter short). He recommended exiting long positions when the RSI reaches 70 or higher and exiting short positions when the RSI falls below 30.
MFI: Quong and Soudack recommended buying when the MFI is below 20 and starts rising (enter long), and selling when it is above 80 and starts declining (enter short). They suggested exiting long positions when the MFI reaches 80 or higher and exiting short positions when the MFI falls below 20.
Fusion Application
Settings: Use a 14-day period for this indicator's calculations to maintain consistency with the original settings suggested by the inventors.
Trading Rules:
Enter Long Signal: Consider entering a long position when both RSI and MFI are below their respective oversold levels and begin to rise. This indicates strong buying pressure supported by both price momentum and volume.
Exit Long Signal: Exit the long position when either RSI or MFI reaches its respective overbought threshold, suggesting a potential reversal or decrease in buying pressure.
Enter Short Signal: Consider entering a short position when both indicators are above their respective overbought levels and begin to decline, suggesting that selling pressure is mounting.
Exit Short Signal: Exit the short position when either RSI or MFI falls below its respective oversold threshold, indicating diminishing selling pressure and a potential upward reversal.
How to Use the Indicator
Select Source and Timeframe: Choose the data source and the timeframe for analysis.
Configure Fusion Settings: Adjust the weights for RSI and MFI.
Choose Smoothing Technique: Select and configure the desired smoothing method to suit the market conditions and personal preference.
Enable Fisherization: Optionally apply the Inverse Fisher Transform to enhance signal clarity.
Customize Visualization: Set up gradient coloring, background plots, and bands according to your preferences.
Interpret the Indicator: Use the Fusion value and visual cues to identify market conditions and potential trading opportunities.
Conclusion
The Fusion MFI RSI Indicator integrates classical and modern technical analysis concepts to provide a comprehensive tool for market analysis. By combining RSI and MFI with advanced smoothing techniques and the Inverse Fisher Transform, this indicator offers enhanced insights, aiding traders in making more informed and timely trading decisions. Customize the settings to align with your trading strategy and leverage this powerful tool to navigate financial markets effectively.
Best regards,
simwai
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Credits to:
@loxx – T3
@everget – JMA
@cheatcountry – Hann Window Indicator
Indicator
Octopus Nest Strategy Hello Fellas,
Hereby, I come up with a popular strategy from YouTube called Octopus Nest Strategy. It is a no repaint, lower timeframe scalping strategy utilizing PSAR, EMA and TTM Squeeze.
The strategy considers these market factors:
PSAR -> Trend
EMA -> Trend
TTM Squeeze -> Momentum and Volatility by incorporating Bollinger Bands and Keltner Channels
Note: As you can see there is a potential improvement by incorporating volume.
What's Different Compared To The Original Strategy?
I added an option which allows users to use the Adaptive PSAR of @loxx, which will hopefully improve results sometimes.
Signals
Enter Long -> source above EMA 100, source crosses above PSAR and TTM Squeeze crosses above 0
Enter Short -> source below EMA 100, source crosses below PSAR and TTM Squeeze crosses below 0
Exit Long and Exit Short are triggered from the risk management. Thus, it will just exit on SL or TP.
Risk Management
"High Low Stop Loss" and "Automatic High Low Take Profit" are used here.
High Low Stop Loss: Utilizes the last high for short and the last low for long to calculate the stop loss level. The last high or low gets multiplied by the user-defined multiplicator and if no recent high or low was found it uses the backup multiplier.
Automatic High Low Take Profit: Utilizes the current stop loss level of "High Low Stop Loss" and gets calculated by the user-defined risk ratio.
Now, follows the bunch of knowledge for the more inexperienced readers.
PSAR: Parabolic Stop And Reverse; Developed by J. Welles Wilders and a classic trend reversal indicator.
The indicator works most effectively in trending markets where large price moves allow traders to capture significant gains. When a security’s price is range-bound, the indicator will constantly be reversing, resulting in multiple low-profit or losing trades.
TTM Squeeze: TTM Squeeze is a volatility and momentum indicator introduced by John Carter of Trade the Markets (now Simpler Trading), which capitalizes on the tendency for price to break out strongly after consolidating in a tight trading range.
The volatility component of the TTM Squeeze indicator measures price compression using Bollinger Bands and Keltner Channels. If the Bollinger Bands are completely enclosed within the Keltner Channels, that indicates a period of very low volatility. This state is known as the squeeze. When the Bollinger Bands expand and move back outside of the Keltner Channel, the squeeze is said to have “fired”: volatility increases and prices are likely to break out of that tight trading range in one direction or the other. The on/off state of the squeeze is shown with small dots on the zero line of the indicator: red dots indicate the squeeze is on, and green dots indicate the squeeze is off.
EMA: Exponential Moving Average; Like a simple moving average, but with exponential weighting of the input data.
Don't forget to check out the settings and keep it up.
Best regards,
simwai
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Credits to:
@loxx
@Bjorgum
@Greeny
Strategy
Ehlers Combo Strategy🚀 Presenting the Enhanced Ehlers Combo Strategy 🚀
Hello Traders! 👋 I'm thrilled to share the latest version of the Ehlers Combo Strategy v2.0. This powerful algorithm combines Ehlers Elegant Oscillator, Decycler, Instantaneous Trendline, Spearman Rank, and introduces the Signal to Noise Ratio for even more precise trading signals.
📊 Strategy Highlights:
Ehlers Elegant Oscillator: Captures market momentum and turning points.
Ehlers Decycler: Filters out market noise for clearer trend signals.
Instantaneous Trendline: Offers a dynamic view of the market trend.
Spearman Rank: Analyzes market rank correlations for enhanced insights.
Signal to Noise Ratio (SNR): Filters out noise for more accurate signals.
💡 Key Features & Customizations:
Adaptive Length: Enable adaptive length based on the market's current conditions.
SNR Threshold: Set your desired SNR threshold for filtering signals.
Exit Length: Define the length for exit signals.
📈 Trading Signals:
Long Entry: Elegant Oscillator and Decycler cross above 0, source crosses above Decycler, source is greater than an increasing Instantaneous Trendline, Spearman Rank is positive, and SNR exceeds the threshold.
Long Exit: Source crosses below the Instantaneous Trendline after entering a long position.
Short Entry: Elegant Oscillator and Decycler cross below 0, source crosses below Decycler, source is less than a decreasing Instantaneous Trendline, Spearman Rank is negative, and SNR exceeds the threshold.
Short Exit: Source crosses above the Instantaneous Trendline after entering a short position.
📊 Insights & Enhancements:
Dynamic Length: The strategy adapts its length dynamically based on market conditions.
Improved SNR: Signal to Noise Ratio ensures better filtering of signals.
Enhanced Visualization: The Elegant Oscillator now features improved color coding for a clearer interpretation.
🚨 Disclaimer:
Trading involves risk, and this script should be used judiciously. It's not a guaranteed profit machine, but with careful use, it can be a valuable addition to your toolkit.
Feel free to backtest, tweak, and make it your own! Let's conquer the markets together! 💪📈
🚀✨ Happy Trading! ✨🚀
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🙌 Credits:
A big shoutout to the original contributors:
@blackcat1402
@cheatcountry
@DasanC
Strategy
Normalized Fisher Transformed VolumeGreetings Traders,
I am thrilled to introduce a game-changing tool that I've passionately developed to enhance your trading precision – the Normalized Fisher Transformed Volume indicator. Let's dive into the specifics and explore how this tool can empower you in the markets.
Unlocking Trading Precision:
Normalization and Transformation:
Normalize raw volume data to ensure a consistent scale for analysis.
The Fisher Transformation converts normalized volume data into a Gaussian distribution, providing enhanced insights into trend dynamics.
Flexible Modes for Tailored Strategies:
Choose from three distinct modes:
Volume T3 (MA) + Heatmap: Identify trends with T3 Moving Average and visualize volume strength with Heatmap.
Volume Percent Rank: Evaluate the position of current volume relative to historical data.
Volume T3 (MA) Percent Rank: Combine T3 Moving Average with percentile ranking for a comprehensive analysis.
Heatmap Visualization for Quick Insights:
Heatmap Zones and Lines visually represent volume strength relative to historical data.
Customize threshold multipliers and color options for precise Heatmap interpretation.
T3 Moving Average Integration:
Smoothed representation of volume trends with the T3 Moving Average enhances trend identification.
Percent Rank Analysis for Context:
Gauge the position of normalized volume within historical context using Percent Rank analysis.
User-Friendly Customization:
Easily adjust parameters such as length, T3 Moving Average length, Heatmap standard deviation length, and threshold multipliers.
Intuitive interface with colored bars and customizable background options for personalized analysis.
How to Use Effectively:
Mode Selection:
Identify your preferred trading strategy and select the mode that aligns with your approach.
Parameter Adjustment:
Fine-tune the indicator by adjusting parameters to match your preferred trading style.
Interpret Heatmap and T3 Analysis:
Leverage Heatmap and T3 Moving Average analysis to spot potential trend reversals, overbought/oversold conditions, and market sentiment shifts.
Conclusion:
The Normalized Fisher Transformed Volume indicator is not just a tool; it's your key to unlocking precision in trading. Crafted by Simwai, this indicator offers unique insights tailored to your specific trading needs. Dive in, explore its features, experiment with parameters, and let it guide you to more informed and precise trading decisions.
Trade wisely and prosper,
simwai Indicator
Smoothing R-Squared ComparisonIntroduction
Heyo guys, here I made a comparison between my favorised smoothing algorithms.
I chose the R-Squared value as rating factor to accomplish the comparison.
The indicator is non-repainting.
Description
In technical analysis, traders often use moving averages to smooth out the noise in price data and identify trends. While moving averages are a useful tool, they can also obscure important information about the underlying relationship between the price and the smoothed price.
One way to evaluate this relationship is by calculating the R-squared value, which represents the proportion of the variance in the price that can be explained by the smoothed price in a linear regression model.
This PineScript code implements a smoothing R-squared comparison indicator.
It provides a comparison of different smoothing techniques such as Kalman filter, T3, JMA, EMA, SMA, Super Smoother and some special combinations of them.
The Kalman filter is a mathematical algorithm that uses a series of measurements observed over time, containing statistical noise and other inaccuracies, and produces estimates of unknown variables that tend to be more accurate than those based on a single measurement.
The input parameters for the Kalman filter include the process noise covariance and the measurement noise covariance, which help to adjust the sensitivity of the filter to changes in the input data.
The T3 smoothing technique is a popular method used in technical analysis to remove noise from a signal.
The input parameters for the T3 smoothing method include the length of the window used for smoothing, the type of smoothing used (Normal or New), and the smoothing factor used to adjust the sensitivity to changes in the input data.
The JMA smoothing technique is another popular method used in technical analysis to remove noise from a signal.
The input parameters for the JMA smoothing method include the length of the window used for smoothing, the phase used to shift the input data before applying the smoothing algorithm, and the power used to adjust the sensitivity of the JMA to changes in the input data.
The EMA and SMA techniques are also popular methods used in technical analysis to remove noise from a signal.
The input parameters for the EMA and SMA techniques include the length of the window used for smoothing.
The indicator displays a comparison of the R-squared values for each smoothing technique, which provides an indication of how well the technique is fitting the data.
Higher R-squared values indicate a better fit. By adjusting the input parameters for each smoothing technique, the user can compare the effectiveness of different techniques in removing noise from the input data.
Usage
You can use it to find the best fitting smoothing method for the timeframe you usually use.
Just apply it on your preferred timeframe and look for the highlighted table cell.
Conclusion
It seems like the T3 works best on timeframes under 4H.
There's where I am active, so I will use this one more in the future.
Thank you for checking this out. Enjoy your day and leave me a like or comment. 🧙♂️
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Credits to:
▪@loxx – T3
▪@balipour – Super Smoother
▪ChatGPT – Wrote 80 % of this article and helped with the research Indicator
Adaptive Fusion ADX VortexIntroduction
The Adaptive Fusion ADX DI Vortex Indicator is a powerful tool designed to help traders identify trend strength and potential trend reversals in the market. This indicator uses a combination of technical analysis (TA) and mathematical concepts to provide accurate and reliable signals.
Features
The Adaptive Fusion ADX DI Vortex Indicator has several features that make it a powerful tool for traders. The Fusion Mode combines the Vortex Indicator and the ADX DI indicator to provide a more accurate picture of the market. The Hurst Exponent Filter helps to filter out choppy markets (inspired by balipour). Additionally, the indicator can be customized with various inputs and settings to suit individual trading strategies.
Signals
The enterLong signal is generated when the algorithm detects that it's a good time to buy a stock or other asset. This signal is based on certain conditions such as the values of technical indicators like ADX, Vortex, and Fusion. For example, if the ADX value is above a certain threshold and there is a crossover between the plus and minus lines of the ADX indicator, then the algorithm will generate an enterLong signal.
Similarly, the enterShort signal is generated when the algorithm detects that it's a good time to sell a stock or other asset. This signal is also based on certain conditions such as the values of technical indicators like ADX, Vortex, and Fusion. For example, if the ADX value is above a certain threshold and there is a crossunder between the plus and minus lines of the ADX indicator, then the algorithm will generate an enterShort signal.
The exitLong and exitShort signals are generated when the algorithm detects that it's a good time to close a long or short position, respectively. These signals are also based on certain conditions such as the values of technical indicators like ADX, Vortex, and Fusion. For example, if the ADX value crosses above a certain threshold or there is a crossover between the minus and plus lines of the ADX indicator, then the algorithm will generate an exitLong signal.
Usage
Traders can use this indicator in a variety of ways, depending on their trading strategy and style. Short-term traders may use it to identify short-term trends and potential trade opportunities, while long-term traders may use it to identify long-term trends and potential investment opportunities. The indicator can also be used to confirm other technical indicators or trading signals. Personally, I prefer to use it for short-term trades.
Strengths
One of the strengths of the Adaptive Fusion ADX DI Vortex Indicator is its accuracy and reliability. The indicator uses a combination of TA and mathematical concepts to provide accurate and reliable signals, helping traders make informed trading decisions. It is also versatile and can be used in a variety of trading strategies.
Weaknesses
While this indicator has many strengths, it also has some weaknesses. One of the weaknesses is that it can generate false signals in choppy or sideways markets. Additionally, the indicator may lag behind the market, making it less effective in fast-moving markets. That's a reason why I included the Hurst Exponent Filter and special smoothing.
Concepts
The Adaptive ADX DI Vortex Indicator with Fusion Mode and Hurst Filter is based on several key concepts. The Average Directional Index (ADX) is used to measure trend strength, while the Vortex Indicator is used to identify trend reversals. The Hurst Exponent is used to filter out noise and provide a more accurate picture of the market.
In conclusion, the Adaptive Fusion ADX DI Vortex Indicator is a versatile and powerful tool for traders. By combining technical analysis and mathematical concepts, this indicator provides accurate and reliable signals for identifying trend strength and potential trend reversals. While it has some weaknesses, its many strengths and features make it a valuable addition to any trader's toolbox.
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Credits to:
▪️@cheatcountry – Hann Window Smoohing
▪️@loxx – VHF and T3
▪️@balipour – Hurst Exponent Filter Indicator
VHF Adaptive Linear Regression KAMAIntroduction
Heyo, in this indicator I decided to add VHF adaptivness, linear regression and smoothing to a KAMA in order to squeeze all out of it.
KAMA:
Developed by Perry Kaufman, Kaufman's Adaptive Moving Average (KAMA) is a moving average designed to account for market noise or volatility. KAMA will closely follow prices when the price swings are relatively small and the noise is low. KAMA will adjust when the price swings widen and follow prices from a greater distance. This trend-following indicator can be used to identify the overall trend, time turning points and filter price movements.
VHF:
Vertical Horizontal Filter (VHF) was created by Adam White to identify trending and ranging markets. VHF measures the level of trend activity, similar to ADX DI. Vertical Horizontal Filter does not, itself, generate trading signals, but determines whether signals are taken from trend or momentum indicators. Using this trend information, one is then able to derive an average cycle length.
Linear Regression Curve:
A line that best fits the prices specified over a user-defined time period.
This is very good to eliminate bad crosses of KAMA and the pric.
Usage
You can use this indicator on every timeframe I think. I mostly tested it on 1 min, 5 min and 15 min.
Signals
Enter Long -> crossover(close, kama) and crossover(kama, kama )
Enter Short -> crossunder(close, kama) and crossunder(kama, kama )
Thanks for checking this out!
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Credits to
▪️@cheatcountry – Hann Window Smoohing
▪️@loxx – VHF and T3
▪️@LucF – Gradient
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