Aurora Reversal Suite: Liquidity & Inversion ModelConcept & Methodology The Aurora Reversal Suite is not a general-purpose indicator; it is a hard-coded algorithmic implementation of a specific institutional reversal model often referred to as the "2022 Mentorship Model" or "Sweep-to-Inversion" setup.
While many scripts display Liquidity Sweeps or Fair Value Gaps individually, this script solves the problem of "confluence fatigue" by algorithmically enforcing a strict order of operations. It does not alert on every sweep; it alerts only when a specific sequence of price action events occurs in a verified order.
The Algorithmic Logic (How it Works) The core value of this script lies in its conditional filtering logic, which automates the following manual verification process:
Event A: Liquidity Sweep
The script first monitors key institutional levels: Previous Day High/Low, Session High/Low (Asia/London/NY), and dynamic Swing Points.
It detects a "Sweep" event when price breaches a level but fails to close beyond it (or closes back inside within a defined lookback period).
Event B: Displacement & Inversion
Unlike standard FVG indicators, this script searches specifically for Inversion FVGs (iFVG) that form immediately following the sweep event.
The script logic requires that the iFVG be created by the displacement leg that reverses the sweep. This binds the "Entry Signal" directly to the "Liquidity Event."
Event C: Algorithmic Filtering (The "Strict" Mode)
To filter out false positives common in choppy markets, the script applies a multi-layer filter before printing a signal:
Volume Qualification: The signal bar's volume must exceed a user-defined multiple of the N-period average volume (default 1.5x) to confirm institutional participation.
SMT Divergence Filter: The script cross-references a correlated asset (e.g., NQ vs. ES or EU vs. DXY). If enabled, a signal is only valid if the correlated asset failed to make a matching high/low at the moment of the sweep (SMT Divergence).
Bias Alignment: The script calculates directional bias using a waterfall logic (Daily > 4H > 1H). Signals counter to this calculated bias are suppressed in "Strict" mode.
Included Features & Components
Automated Market Structure: Real-time labeling of BOS (Break of Structure) and MSS (Market Structure Shift) based on swing point logic.
Session Killzones: Visual boxes for Asia, London, and NY sessions with auto-extending high/low lines to track session liquidity.
Multi-Timeframe Dashboard: A calculated table displaying the trend state of the Daily, 4H, and 1H timeframes to assist with top-down analysis.
Power of 3 (PO3) Overlay: Visualization of higher-timeframe candle geometry on lower-timeframe charts to identify accumulation/distribution phases.
Why This Mashup is Necessary Attempting to trade this specific reversal model using separate indicators results in chart clutter and conflicting signals. By combining the Sweep detection, iFVG creation, and SMT filtering into a single codebase, we can programmatically eliminate "naked" sweeps that have no displacement, providing a cleaner and more objective view of the market structure.
Settings & Customization
Signal Mode: Choose between "Simple" (Price Action only) or "Strict" (Trend + Volume filtered).
SMT Input: Manually define the correlated asset ticker for divergence checks.
Visuals: Fully customizable colors for Bullish/Bearish scenarios to fit light or dark themes.
Disclaimer This script is a tool for market analysis and does not guarantee future results. It is intended to assist traders in identifying high-probability setups based on historical price action concepts.
Liquidity
Volume Flow Anatomy [Kodexius]Volume Flow Anatomy is a dynamic, multi-dimensional volume map that reconstructs how buy, sell, and “stealth” activity is distributed across price rather than just across time. Instead of relying on a static, session-based volume profile, it uses an exponentially decaying memory of recent bars to build a constantly evolving “anatomy” of the auction, where each price level carries an adaptive history of order flow.
The script separates buy vs. sell pressure, adds a third “Stealth Flow” dimension for low-volume price movement (ease of movement / divergence), and automatically derives POC, Value Area, imbalances, absorption zones, and classic profile shapes (D, P, b, B). This gives the trader a compact but highly information-dense map on the right side of the chart to read control (buyers vs. sellers), structure (balanced vs. trending vs. double distribution), and key reaction levels (support/resistance born from flow, not just wicks).
🔹 Features
🔸 Dynamic Lookback with Decay
- The script computes an effective lookback N from the Decay Factor and caps it with Max Lookback.
- Higher decay keeps more history; lower decay emphasizes the most recent flow.
- The profile continuously adapts as new bars are printed.
🔸 Price-Bucketed Flow Map
Each bucket accumulates:
- Sell Flow (sell pressure)
- Buy Flow (buy pressure)
- Stealth Flow (low-volume price movement)
- Box width at each bucket is proportional to the relative intensity of that component.
🔸 Stealth Flow (Low-Volume Price Movement)
- Measures close to close movement relative to volume, emphasizing price movement that occurs on comparatively low volume.
- Helps reveal hidden participation, inefficient moves, and areas that may be vulnerable to re-tests or reversions.
🔸 POC & 70% Value Area (VA)
- Identifies the Point of Control (price bucket with the highest total volume) over the effective lookback.
- Builds a 70% Value Area by expanding from POC towards the nearest high volume neighbors until 70% of the total volume is included.
- POC is drawn as a line over the analyzed range; VA is displayed as a shaded band in the profile area.
🔸 Market Profile Shape Detection
Splits the profile vertically into three zones (bottom / middle / top) and compares their volume distribution.
Classifies structure as:
- D-Shape (Balanced)
- P-Shape (Short Covering)
- b-Shape (Long Liquidation)
- B-Shape (Double Distribution)
Displays a shape label with color coded bias for quick auction context interpretation.
🔸 Imbalance Zones & Absorption
Imbalance: detects buckets where Buy Flow or Sell Flow exceeds the opposite side by at least Imbalance Ratio.
Absorption: flags zones with high volume but low price “ease”, where price is not moving much despite significant volume.
Extends these levels into horizontal zones, marking potential support/resistance and trap areas.
Bullish Imbalance Zone :
Bearish Imbalance Zone :
Absorption Zone :
🔸 Range Context & On-Chart Legend
Draws a Range Box covering the dynamically determined lookback (N bars), with a label displaying the effective bar count.
A bottom-right legend summarizes:
- Color keys for Buy / Sell / Stealth
- POC / VA status
- Bullish vs. Bearish dominance percentage
- Profile shape classification
- Imbalance and Absorption conventions
🔹 Calculations
1. Dynamic Lookback & Price Buckets
int N = math.min(int(4 / (1 - decayFactor) - 1), maxHistory)
float priceHigh = ta.highest(high, N)
float priceLow = ta.lowest(low, N)
float bucketSize = (priceHigh - priceLow) / bucketCount
The effective lookback N is derived from the Decay Factor, using the approximation 4 / (1 - decay) to capture roughly 99% of the decayed influence, then capped with maxHistory to control performance. Over that adaptive range, the script finds the highest and lowest prices and divides the band into bucketCount equal slices (bucketSize). Each slice is a price bucket that will accumulate volume-flow information.
2. Exponentially Decayed Volume Allocation
addValue(array profile, float weight, float minPrice, float maxPrice) =>
for j = 0 to bucketCount - 1
float bucketMin = priceLow + j * bucketSize
float bucketMax = bucketMin + bucketSize
float overlapMin = math.max(minPrice, bucketMin)
float overlapMax = math.min(maxPrice, bucketMax)
float overlapRange = overlapMax - overlapMin
if overlapRange > 0
profile.set(j, profile.get(j) * decayFactor + weight * overlapRange)
This function is the core engine of the indicator. For a given price span and intensity, it checks every bucket for overlap, distributes the weight proportionally to the overlapping range, and before adding new value, decays the existing bucket content by decayFactor. This results in an exponentially weighted profile: recent activity dominates, while older levels retain a gradually fading footprint.
3. POC and 70% Value Area
array totalProfile = array.new(bucketCount, 0)
for j = 0 to bucketCount - 1
float total = sellProfile.get(j) + buyProfile.get(j)
totalProfile.set(j, total)
if total > eaMax
eaMax := total
int pocIdx = 0
float pocVal = 0.0
for j = 0 to bucketCount - 1
if totalProfile.get(j) > pocVal
pocVal := totalProfile.get(j)
pocIdx := j
float totalSum = totalProfile.sum()
float targetSum = totalSum * 0.70
int vaLow = pocIdx
int vaHigh = pocIdx
float currentSum = pocVal
while currentSum < targetSum and (vaLow > 0 or vaHigh < bucketCount - 1)
float lowVal = vaLow > 0 ? totalProfile.get(vaLow - 1) : 0.0
float highVal = vaHigh < bucketCount - 1 ? totalProfile.get(vaHigh + 1) : 0.0
First, totalProfile is built as the sum of buy and sell flow per bucket, and eaMax (the maximum total) is tracked for later normalization. The POC bucket (pocIdx) is simply the index with the highest totalProfile value.
To compute the 70% Value Area, the algorithm starts at the POC bucket and expands outward, each step adding either the upper or lower neighbor depending on which has more volume. This continues until the cumulative volume reaches 70% of totalSum. The result is a volume-driven VA, not necessarily symmetric around POC, which more accurately represents where the market has truly traded.
4. Market Profile Shape Classification
float volTopThird = 0.0
float volMidThird = 0.0
float volBotThird = 0.0
int thirdIdx = int(bucketCount / 3)
for j = 0 to bucketCount - 1
float val = totalProfile.get(j)
if j < thirdIdx
volBotThird += val
else if j < thirdIdx * 2
volMidThird += val
else
volTopThird += val
float totalVolShape = totalProfile.sum()
string shapeStr = "D-Shape (Balanced)"
if (volTopThird > totalVolShape * 0.20) and (volBotThird > totalVolShape * 0.20) and (volMidThird < totalVolShape * 0.50)
shapeStr := "B-Shape (Double Dist)"
else
if pocIdx > bucketCount * 0.5 and volTopThird > volBotThird * 1.3
shapeStr := "P-Shape (Short Covering)"
else if pocIdx < bucketCount * 0.5 and volBotThird > volTopThird * 1.3
shapeStr := "b-Shape (Long Liquidation)"
else
shapeStr := "D-Shape (Balanced)"
The profile is split into bottom, middle, and top thirds. The script compares how much volume is concentrated in each and combines that with the relative location of POC. If both extremes are heavy and the middle light, it labels a B-Shape (double distribution). If the POC is high and the top dominates the bottom, it’s a P-Shape (short covering). If the POC is low and the bottom dominates, it’s a b-Shape (long liquidation). Otherwise, it defaults to a D-Shape (balanced). This provides a quick, at-a-glance assessment of auction structure.
5. Imbalances, Absorption & Zones
bool isBuyImb = showImb and sVal > 0 and (bVal / sVal >= imbRatio)
bool isSellImb = showImb and bVal > 0 and (sVal / bVal >= imbRatio)
float volRatio = eaMax > 0 ? tVal / eaMax : 0
float stRatio = esmRange > 0 ? (stVal - esmMin) / esmRange : 1.0
bool isAbsorp = showAbsorp and volRatio > 0.6 and stRatio < 0.25
if showImbZone
if isSellImb
zoneBoxes.push(box.new(bar_index - N + 1, bucketHi, bar_index + 1, bucketLo, ...))
if isBuyImb
zoneBoxes.push(box.new(bar_index - N + 1, bucketHi, bar_index + 1, bucketLo, ...))
if isAbsorp
zoneBoxes.push(box.new(bar_index - N + 1, bucketHi, bar_index + 1, bucketLo, ...))
Imbalances are identified where one side’s volume (buy or sell) exceeds the other by at least Imbalance Ratio. These buckets are marked as buy or sell imbalance zones, indicating aggressive participation from one side.
Absorption is detected by combining a high volume ratio (volRatio) with a low normalized stealth ratio (stRatio). High volume with limited price movement suggests that opposing orders are absorbing flow at that level. Both imbalance and absorption buckets are extended into horizontal zones from the start of the lookback to the current bar, visually emphasizing key support/resistance and liquidity areas.
6. Building Buy, Sell & Stealth Profiles
sellProfile := array.new(bucketCount, 0)
buyProfile := array.new(bucketCount, 0)
stealthProfile := array.new(bucketCount, 0)
Three arrays are used to store Sell Flow, Buy Flow, and Stealth Flow. Bars are processed from oldest to newest so that decay is applied in correct chronological order. For each bar, a volume density (volume / range) is calculated and distributed across the candle range. Bull candles feed buyProfile, bear candles feed sellProfile.
Stealth Flow computes the close-to-close move between consecutive bars, scaled by 1 / (1 + volume). Big moves on low volume produce high stealth values, which are then allocated across the move’s price span into stealthProfile. This yields a three-layer profile per price level: directional volume and stealthy price movement.
JP7FX Signals ProJP7FX Signals Pro
Smart session signals based on structure, liquidity shifts and volatility filters.
Designed for use on the 1 minute timeframe.
What this tool does
This indicator builds signals around three things traders track every day.
• session ranges for Asia, Frankfurt, London and New York
• Fair Value Gap behaviour
• Supertrend shifts with volatility confirmation
The script draws each session range on your chart. It tracks when price breaks a session high or low, then checks if the market is above or below the daily open. These conditions help filter trades by direction during different sessions.
It also detects bullish and bearish Fair Value Gaps. The script tracks when an FVG forms, when price enters the imbalance and when it gets mitigated. These checks create part of the signal logic.
Supertrend is used as an extra filter. A crossover above or below the Supertrend gives a directional bias. When combined with session behaviour and FVG conditions, the script can mark possible long or short signals during London or New York.
How the signals form
A signal only prints when the script has all conditions in place.
This includes:
• a session range break in the correct direction
• a price position relative to the daily open
• confirmation from Supertrend
• FVG creation or mitigation on the right side of price
• liquidity taken in previous sessions
These rules reduce noise and avoid signals that appear in weak conditions.
What the indicator is for
• understanding how sessions behave on the 1 minute chart
• tracking liquidity behaviour
• seeing when a clean break and trend shift takes place
• getting notified when the market forms the conditions you set
This is not a buy or sell system on its own
Signals do not replace analysis. You still need market structure, higher timeframe direction, orderblocks or your own trade model.
A signal is only a prompt to look at the chart, not a confirmation to enter a trade.
Price can shift quickly around sessions, so check the context before acting on any alert.
Important notes
• designed for the 1 minute timeframe
• signals do not guarantee trend continuation
• conditions can form in strong or weak market phases
• use your own risk rules and validation before entering trades
JP7FX Signals Pro helps you track session behaviour and FVG interaction more efficiently, but trading decisions still need your full chart process.
Market Structure Pro + (@JP7FX)Market Structure Pro Plus (JP7FX)
Market Structure Pro Plus identifies swing highs and swing lows using a three candle confirmation method. It highlights liquidity behaviour and market structure shifts without manual marking.
Swing Point Detection
The indicator marks swing highs and lows when the middle candle in a three candle sequence forms the highest high or lowest low.
This approach reacts to local price behaviour and does not rely on a large lookback period.
Liquidity Grab Signals
The indicator highlights when price trades beyond a previous swing high or swing low and then returns.
These events help users review how liquidity is taken around prior highs and lows.
Break of Structure Signals
The indicator marks a break of structure when a candle closes beyond a previous swing point.
Bullish structure change signals occur when price closes above a prior swing high.
Bearish structure change signals occur when price closes below a prior swing low.
Deviation Stats and Projections
The script tracks how far price extends beyond the last confirmed swing high or swing low, in pips, after liquidity is taken.
It keeps a rolling history of these extensions and calculates an average combined extension for recent moves.
This average is shown in a small stats table as “Avg SD High/Low”.
Using this value, the indicator projects two reference levels from the latest confirmed swing:
• a “Deviation High” line projected from the last swing high
• a “Deviation Low” line projected from the last swing low
These projection lines are drawn as dotted levels with labels and can be used as reference zones based on recent extension behaviour.
Features
• Automatic swing high and swing low detection
• Liquidity grab marking
• Break of structure marking
• Deviation stats table with average extension value
• Projection lines for Deviation High and Deviation Low
• Alerts for liquidity grabs and structure changes
• Market type setting for forex, stock, crypto, commodity and futures
• Customisable colours, line styles and visibility options
• Works across all timeframes and assets
Use Cases
Useful for traders who study market structure, track trend shifts, or review liquidity and extension behaviour around highs and lows.
The indicator reduces manual chart work by highlighting swing points, structure changes and typical extension zones in real time.
Obsidian Flux Matrix# Obsidian Flux Matrix | JackOfAllTrades
Made with my Senior Level AI Pine Script v6 coding bot for the community!
Narrative Overview
Obsidian Flux Matrix (OFM) is an open-source Pine Script v6 study that fuses social sentiment, higher timeframe trend bias, fair-value-gap detection, liquidity raids, VWAP gravitation, session profiling, and a diagnostic HUD. The layout keeps the obsidian palette so critical overlays stay readable without overwhelming a price chart.
Purpose & Scope
OFM focuses on actionable structure rather than marketing claims. It documents every driver that powers its confluence engine so reviewers understand what triggers each visual.
Core Analytical Pillars
1. Social Pulse Engine
Sentiment Webhook Feed: Accepts normalized scores (-1 to +1). Signals only arm when the EMA-smoothed value exceeds the `sentimentMin` input (0.35 by default).
Volume Confirmation: Requires local volume > 30-bar average × `volSpikeMult` (default 2.0) before sentiment flags.
EMA Cross Validation: Fast EMA 8 crossing above/below slow EMA 21 keeps momentum aligned with flow.
Momentum Alignment: Multi-timeframe momentum composite must agree (positive for longs, negative for shorts).
2. Peer Momentum Heatmap
Multi-Timeframe Blend: RSI + Stoch RSI fetched via request.security() on 1H/4H/1D by default.
Composite Scoring: Each timeframe votes +1/-1/0; totals are clamped between -3 and +3.
Intraday Readability: Configurable band thickness (1-5) so scalpers see context without losing space.
Dynamic Opacity: Stronger agreement boosts column opacity for quick bias checks.
3. Trend & Displacement Framework
Dual EMA Ribbon: Cyan/magenta ribbon highlights immediate posture.
HTF Bias: A higher-timeframe EMA (default 55 on 4H) sets macro direction.
Displacement Score: Body-to-ATR ratio (>1.4 default) detects impulses that seed FVGs or VWAP raids.
ATR Normalization: All thresholds float with volatility so the study adapts to assets and regimes.
4. Intelligent Fair Value Gap (FVG) System
Gap Detection: Three-candle logic (bullish: low > high ; bearish: high < low ) with ATR-sized minimums (0.15 × ATR default).
Overlap Prevention: Price-range checks stop redundant boxes.
Spacing Control: `fvgMinSpacing` (default 5) avoids stacking from the same impulse.
Storage Caps: Max three FVGs per side unless the user widens the limit.
Session Awareness: Kill zone filters keep taps focused on London/NY if desired.
Auto Cleanup: Boxes delete when price closes beyond their invalidation level.
5. VWAP Magnet + Liquidity Raid Engine
Session or Rolling VWAP: Toggle resets to match intraday or rolling preferences.
Equal High/Low Scanner: Looks back 20 bars by default for liquidity pools.
Displacement Filter: ATR multiplier ensures raids represent genuine liquidity sweeps.
Mean Reversion Focus: Signals fire when price displaces back toward VWAP following a raid.
6. Session Range Breakout System
Initial Balance Tracking: First N bars (15 default) define the session box.
Breakout Logic: Requires simultaneous liquidity spikes, nearby FVG activity, and supportive momentum.
Z-Score Volume Filter: >1.5σ by default to filter noisy moves.
7. Lifestyle Liquidity Scanner
Volume Z-Scores: 50-bar baseline highlights statistically significant spikes.
Smart Money Footprints: Bottom-of-chart squares color-code buy vs sell participation.
Panel Memory: HUD logs the last five raid timestamps, direction, and normalized size.
8. Risk Matrix & Diagnostic HUD
HUD Structure: Table in the top-right summarizes HTF bias, sentiment, momentum, range state, liquidity memory, and current risk references.
Signal Tags: Aggregates SPS, FVG, VWAP, Range, and Liquidity states into a compact string.
Risk Metrics: Swing-based stops (5-bar lookback) + ATR targets (1.5× default) keep risk transparent.
Signal Families & Alerts
Social Pulse (SPS): Volume-confirmed sentiment alignment; triangle markers with “SPS”.
Kill-Zone FVG: Session + HTF alignment + FVG tap; arrow markers plus SL/TP labels.
Local FVG: Captures local reversals when HTF bias has not flipped yet.
VWAP Raid: Equal-high/low raids that snap toward VWAP; “VWAP” label markers.
Range Breakout: Initial balance violations with liquidity and imbalance confirmation; circle markers.
Liquidity Spike: Z-score spikes ≥ threshold; square markers along the baseline.
Visual Design & Customization
Theme Palette: Primary background RGB (12,6,24). Accent shading RGB (26,10,48). Long accents RGB (88,174,255). Short accents RGB (219,109,255).
Stylized Candles: Optional overlay using theme colors.
Signal Toggles: Independently enable markers, heatmap, and diagnostics.
Label Spacing: Auto-spacing enforces ≥4-bar gaps to prevent text overlap.
Customization & Workflow Notes
Adjust ATR/FVG thresholds when volatility shifts.
Re-anchor sentiment to your webhook cadence; EMA smoothing (default 5) dampens noise.
Reposition the HUD by editing the `table.new` coordinates.
Use multiples of the chart timeframe for HTF requests to minimize load.
Session inputs accept exchange-local time; align them to your market.
Performance & Compliance
Pure Pine v6: Single-line statements, no `lookahead_on`.
Resource Safe: Arrays trimmed, boxes limited, `request.security` cached.
Repaint Awareness: Signals confirm on close; alerts mirror on-chart logic.
Runtime Safety: Arrays/loops guard against `na`.
Use Cases
Measure when social sentiment aligns with structure.
Plan ICT-style intraday rebalances around session-specific FVG taps.
Fade VWAP raids when displacement shows exhaustion.
Watch initial balance breaks backed by statistical volume.
Keep risk/target references anchored in ATR logic.
Signal Logic Snapshot
Social Pulse Long/Short: `sentimentEMA` gated by `sentimentMin`, `volSpike`, EMA 8/21 cross, and `momoComposite` sign agreement. Keeps hype tied to structural follow-through.
Kill-Zone FVG Long/Short: Requires session filter, HTF EMA bias alignment, and an active FVG tap (`bullFvgTap` / `bearFvgTap`). Labels include swing stops + ATR targets pulled from `swingLookback` and `liqTargetMultiple`.
Local FVG Long/Short: Uses `localBullish` / `localBearish` heuristics (EMA slope, displacement, sequential closes) to surface intraday reversals even when HTF bias has not flipped.
VWAP Raids: Detect equal-high/equal-low sweeps (`raidHigh`, `raidLow`) that revert toward `sessionVwap` or rolling VWAP when displacement exceeds `vwapAlertDisplace`.
Range Breakouts: Combine `rangeComplete`, breakout confirmation, liquidity spikes, and nearby FVG activity for statistically backed initial balance breaks.
Liquidity Spikes: Volume Z-score > `zScoreThreshold` logs direction, size, and timestamp for the HUD and optional review workflows.
Session Logic & VWAP Handling
Kill zone + NY session inputs use TradingView’s session strings; `f_inSession()` drives both visual shading and whether FVG taps are tradeable when `killZoneOnly` is true.
Session VWAP resets using cumulative price × volume sums that restart when the daily timestamp changes; rolling VWAP falls back to `ta.vwap(hlc3)` for instruments where daily resets are less relevant.
Initial balance box (`rangeBars` input) locks once complete, extends forward, and stays on chart to contextualize later liquidity raids or breakouts.
Parameter Reference
Trend: `emaFastLen`, `emaSlowLen`, `htfResolution`, `htfEmaLen`, `showEmaRibbon`, `showHtfBiasLine`.
Momentum: `tf1`, `tf2`, `tf3`, `rsiLen`, `stochLen`, `stochSmooth`, `heatmapHeight`.
Volume/Liquidity: `volLookback`, `volSpikeMult`, `zScoreLen`, `zScoreThreshold`, `equalLookback`.
VWAP & Sessions: `vwapMode`, `showVwapLine`, `vwapAlertDisplace`, `killSession`, `nySession`, `showSessionShade`, `rangeBars`.
FVG/Risk: `fvgMinTicks`, `fvgLookback`, `fvgMinSpacing`, `killZoneOnly`, `liqTargetMultiple`, `swingLookback`.
Visualization Toggles: `showSignalMarkers`, `showHeatmapBand`, `showInfoPanel`, `showStylizedCandles`.
Workflow Recipes
Kill-Zone Continuation: During the defined kill session, look for `killFvgLong` or `killFvgShort` arrows that line up with `sentimentValid` and positive `momoComposite`. Use the HUD’s risk readout to confirm SL/TP distances before entering.
VWAP Raid Fade: Outside kill zone, track `raidToVwapLong/Short`. Confirm the candle body exceeds the displacement multiplier, and price crosses back toward VWAP before considering reversions.
Range Break Monitor: After the initial balance locks, mark `rangeBreakLong/Short` circles only when the momentum band is >0 or <0 respectively and a fresh FVG box sits near price.
Liquidity Spike Review: When the HUD shows “Liquidity” timestamps, hover the plotted squares at chart bottom to see whether spikes were buy/sell oriented and if local FVGs formed immediately after.
Metadata
Author: officialjackofalltrades
Platform: TradingView (Pine Script v6)
Category: Sentiment + Liquidity Intelligence
Hope you Enjoy!
Vietnamese Stock: Discount Linear Regression Liquidity GrabThe Discount Linear Regression Liquidity Grab is a sophisticated technical analysis tool that combines statistical trend analysis with Premium/Discount Zone and Price Action logic. Unlike standard Linear Regression Channels that repaint or stretch indefinitely, this indicator is dynamic: it automatically detects volatility breakouts to "reset" the channel, creating distinct market "Sections."
This tool is designed to help traders identify trend exhaustion, fair value gaps (FVGs), and high-probability reversal or continuation zones using two distinct built-in strategies.
Key Features
1. Dynamic Channel Resets
The core engine calculates a Linear Regression Channel based on a Pearson R coefficient and Deviation multipliers.
- How it works: When price breaks out of the Upper or Lower Deviation bands, the script recognizes a shift in momentum. It "locks" the previous channel and begins calculating a new one from the breakout point.
- Benefit: This creates a historical map of market structure, showing you exactly where previous trends began and ended.
2. Smart Money Concepts (SMC) Integration
For every completed section (channel), the indicator automatically highlights:
Highest High & Lowest Low Boxes: Identifies the structural range of the previous move.
- Gaps & FVGs: Automatically draws boxes for Fair Value Gaps and Price Gaps within the channel, acting as potential magnets for price.
3. The Discount Zone (New Feature)
The indicator projects a Discount Area (Red Box) from the previous section's midline down to its lowest low.
- Logic: This box represents the "Discount" pricing relative to the previous move.
- Behavior: The box extends to the right until price successfully "grabs liquidity" (closes below the midline/red line). Once the grab occurs, the box stops extending, marking that the liquidity event is complete.
Built-In Strategies
This indicator includes two automated strategy signals based on the interaction between current price and historical sections.
Strategy 1: Breakout & Retest (Trend Continuation)
This strategy looks for a classic resistance-turned-support setup.
- Breakout: Price closes above the Highest High of a previous section (Triangle Up).
- Retest: Price pulls back and closes at or below that breakout level (Triangle Down).
- Confirmation: Price breaks above the high of the initial breakout candle (Green Background).
Strategy 2: Midline Reclaim (Mean Reversion / Discount Buy)
This strategy focuses on buying from the "Discount" zone.
- Liquidity Grab: Price drops below the Midline (Red Line) of a previous section, entering the Discount Zone.
- Reclaim: Price closes back above the Midline, signaling that the dip was bought up.
Signal: A Diamond shape and Teal Background appear.
How to Use
- Trend Trading: Use the Dynamic Channels to visualize the current slope. If the channel is angling up, look for long setups.
- Confluence: Use the Discount Zones and FVG boxes as areas of interest. If price enters a Red Discount Box and forms a reversal pattern, it is a high-probability entry.
- Stop Loss Placement: The Lowest Low boxes of previous sections serve as excellent invalidation points for long positions.
Alerts
The indicator comes with pre-configured alerts for:
- Strategy 1 Confirmation.
- Strategy 2 Midline Reclaim.
- New Channel Formation (Trend Reset).
- Liquidity Grab Events.
Simulated Liquidation Heatmap [QuantAlgo]🟢 Overview
This indicator visualizes where clusters of stop-loss orders and liquidation levels are likely located, displayed as a 'heatmap'. It's based on the concept of market structure liquidity: large groups of stop orders tend to gather around obvious technical levels (like swing highs and lows), and these pools of orders often attract price movement from institutional traders. The indicator uses a fractal-based algorithm to identify these high-probability liquidation zones and displays them as dynamic, color-coded boxes.
The key feature is the thermal color gradient, which indicates the freshness (age) and therefore the relative relevance of the liquidity zone. Hot colors (e.g., Red/Yellow) represent fresh clusters that have just formed, suggesting strong and immediate liquidity interest. Cold colors (e.g., Blue/Purple) represent aged or decaying clusters that are becoming less relevant over time. This visualization allows traders to anticipate potential liquidity sweeps (stop hunts) and understand areas of significant retail and institutional positioning.
🟢 Key Features
1. Liquidity Zone Heatmap
The core function is the identification of swing high and swing low price points using a user-defined Lookback period. These points are where retail traders are statistically most likely to place their stop-loss orders. The indicator simulates the clustering of these orders by drawing a zone (box) around the detected swing point, with the vertical size controlled by the Stop/Liquidation Zone Width (%) setting.
▶ Cluster Lookback: Defines the sensitivity of swing point detection. Lower values detect frequent, minor zones (scalping/intraday); higher values detect major, stronger swing points (swing trading).
▶ Zone Width (%): Sets the percentage range above and below the swing point where stops are simulated to cluster, accounting for slippage and typical stop placement spread.
▶ Liquidity Decay: Zones gradually fade in color intensity and are eventually removed after the user-defined Liquidity Decay Period (Bars), ensuring the heatmap only displays relevant, current liquidity areas.
▶ Round Number Filter: An optional filter that limits the display to liquidity zones occurring only at psychologically significant round numbers (e.g., $100, $1,500.00), which typically attract higher concentrations of orders.
2. Thermal Color Gradient
The heatmap's color is a direct function of the zone's age, providing a visual proxy for immediate relevance.
▶ Freshness: Newly created zones are displayed in the Hot Color (high relevance).
▶ Decay: As bars pass, the zone color transitions along the gradient toward the Cold Color and increased transparency (lower relevance), until it is removed entirely.
▶ Color Schemes: Multiple pre-configured and custom color schemes are available to optimize the visualization for different chart themes and color preferences.
3. Liquidity Heat Thermometer
An optional visual thermometer is displayed on the chart to provide an instant, overall assessment of the current liquidation heat level in the immediate vicinity of the price.
▶ Calculation: The thermometer calculates an aggregate heat score based on the age and proximity of all liquidity zones within a user-defined Zone Detection Range (%) of the current price.
▶ Visual Feedback: A marker (triangle) points to the corresponding level on the thermometer's color gradient (Hot to Cold). A high reading indicates price is close to fresh, dense stop clusters, suggesting high volatility or an imminent liquidity sweep is probable. A low reading indicates price is in a low-density or aged liquidity area.
▶ Customization: The thermometer's resolution, position, and text size are fully customizable for optimal chart placement and readability.
🟢 Practical Applications
▶ Anticipate Sweeps: Prioritize trading in the direction of Hot (fresh) liquidity zones. For example, a hot low-side zone suggests strong sell-side liquidity (stop-losses) is available for large buyers to sweep.
▶ Filter Noise: Use the Round Number Filter to focus only on the highest probability liquidation zones, which are often at clean, psychological price levels.
▶ Validate Entries: Combine the Heat Thermometer with price action analysis. A rising heat level indicates increasing proximity to a major stop cluster, signaling a potential turn or an aggressive market move to sweep those stops.
▶ Risk Management: Understand that price often acts dynamically around these zones. High heat levels imply high risk/reward setups; stops should be placed strategically beyond the defined Liquidation Zone Width.
▶ Multi-Timeframe Context: Higher timeframes (e.g., Daily, 4-Hour) often reveal more significant, major liquidity zones. Use this indicator on lower timeframes (e.g., 5-min, 15-min) for execution, but prioritize zones that align with higher-timeframe structures.
Previous Day High / Low / EquilibriumThis indicator plots Previous Day High (PDH), Previous Day Low (PDL), and Previous Day Equilibrium (PD-EQ) anchored to the candles that formed these levels.
🔥 Key Features
Candle-Anchored Levels
PDH/PDL aren’t placed at the midnight candle or the daily bar open. They’re anchored to the actual intraday candle that made the previous day’s high or low.
Session-Aware (17:00 or 18:00 NY)
Set your preferred daily session open (17:00 for Forex, 18:00 for indices/futures) for correct cross-timeframe behavior, including Daily and H4.
Dynamic Line Extension
Lines extend only up to the current candle
Adjustable Line Styles
Choose between Solid, Dashed, or Dotted lines for PDH, PDL, and PD-EQ.
⚙️ Inputs Overview
Session Settings
Daily Session Open Hour (NY Time)
Line Settings
PDH Line Color
PDL Line Color
PD-EQ Line Color
Line Style (Solid / Dashed / Dotted)
Label Settings
Show/Hide Labels
Label Font Size
Label Text Colors
Label Offset (bars to the right)
🛡️ Non-Repainting
The indicator does not repaint.
Levels are locked in once the new session begins.
ZynIQ Liquidity Master Pro v2 - (Pro Pack)Overview
ZynIQ Liquidity Master v2 (Pro) identifies key liquidity pools and sweep zones using automated swing logic, equal-high/low detection and multi-level liquidity mapping. It provides a clear view of where liquidity may be resting above or below price, helping traders understand potential sweep or mitigation behaviour.
Key Features
• Automatic detection of EQH/EQL (equal highs/lows)
• Mapping of major swing liquidity zones
• Optional PDH/PDL (previous day high/low) and weekly levels
• Detection of potential liquidity sweep areas
• Clean labels for swing points and liquidity clusters
• Configurable sensitivity for different markets or timeframes
• Lightweight visuals with minimal clutter
Use Cases
• Identifying major liquidity pools above or below price
• Spotting potential sweep conditions before reversals
• Anchoring market structure or FVG tools with liquidity context
• Understanding where price may target during expansion moves
Notes
This tool identifies areas of resting liquidity based on swing and equal-high/low logic. It is not a standalone trading system. Use with your preferred confirmation and risk management.
Confluence Engine [BullByte]CONFLUENCE ENGINE
Multi-Factor Technical Analysis Framework
OVERVIEW
Confluence Engine is a multi-dimensional technical analysis framework that evaluates market conditions across five distinct analytical pillars simultaneously. Rather than relying on a single indicator or signal source, this tool synthesizes Structure, Momentum, Volume, Volatility, and Pattern analysis into a unified scoring system that identifies high-probability trading opportunities when multiple technical factors align.
The core philosophy behind this indicator stems from a fundamental observation: isolated signals frequently fail, but when multiple independent analytical methods agree, the probability of a successful trade increases substantially. This indicator was developed after extensive research into why traders often receive conflicting signals from different indicators on their charts, leading to analysis paralysis and poor decision-making.
THE PROBLEM AND SOLUTION
The Problem:
Most traders use multiple indicators independently, often receiving contradictory signals. One indicator says "buy" while another says "wait." This creates confusion and leads to missed opportunities, premature entries based on incomplete analysis, difficulty quantifying how strong a setup actually is, and inconsistent decision-making across different market conditions.
The Solution:
Confluence Engine addresses this by providing a single, unified score (0-100) that represents the aggregate strength of a trading setup. Instead of mentally weighing five different indicators, traders receive a clear numerical score indicating setup quality, visual tier classification (ULTRA, HIGH, STANDARD), specific identification of which factors are strong or weak, and actionable guidance on what to watch for next.
THE FIVE ANALYTICAL DIMENSIONS
Each dimension was selected because it measures a fundamentally different aspect of market behavior:
STRUCTURE ANALYSIS
Evaluates price position relative to key levels and recent swing points. Markets respect structure - previous highs, lows, and areas where price reversed. This dimension identifies when price interacts with these critical levels and measures the quality of that interaction.
What it detects: Price approaching or sweeping swing highs/lows, reclaim patterns after false breakouts, EMA alignment and trend structure, exhaustion after extended moves.
MOMENTUM ANALYSIS
Measures the underlying strength and direction of price movement. Strong moves are characterized by momentum preceding price. This dimension evaluates whether momentum supports the current price direction.
What it detects: Oversold/overbought conditions with reversal potential, momentum divergence states, directional movement strength (ADX-based), momentum shifts before price confirmation.
VOLUME ANALYSIS
Volume validates price movement. Significant moves require participation. This dimension measures current volume relative to recent averages to determine if market participants are genuinely committing to the move.
What it detects: Volume spikes confirming price action, below-average volume warning of weak moves, climactic volume at potential reversals, volume confirmation of rejection patterns.
VOLATILITY ANALYSIS
Markets alternate between compression (low volatility) and expansion (high volatility). This dimension identifies these phases and recognizes when compression is likely to resolve into directional movement.
What it detects: Volatility squeeze conditions (Bollinger inside Keltner), squeeze release direction, ATR expansion indicating breakout potential, compression duration for timing breakouts.
PATTERN ANALYSIS
Candlestick patterns reflect the battle between buyers and sellers within each bar. This dimension evaluates the quality and context of reversal and continuation patterns.
What it detects: Engulfing patterns with quality scoring, hammer and shooting star formations, rejection wicks indicating trapped traders, pattern confluence with other factors.
WHAT MAKES THIS INDICATOR ORIGINAL Not a mashup
This is NOT a mashup of indicators displayed together. The Confluence Engine represents an integrated analytical framework with the following unique characteristics:
Unified Scoring System: All five dimensions feed into a proprietary scoring algorithm that weights and combines their signals. The output is a single 0-100 score, not five separate readings.
Multi-Factor Gate: Beyond just scoring, the system requires a minimum number of factors to be "active" (meeting their individual thresholds) before allowing signals. This prevents signals based on one extremely strong factor masking four weak ones.
Regime-Aware Adjustments: The engine detects the current market regime (trending, ranging, volatile, weak) and automatically adjusts factor weights and score multipliers. A structure signal means something different in a trending market versus a ranging market.
Adaptive Risk Management: Take-profit and stop-loss levels are not static. They adapt based on current volatility, market regime, and signal quality - providing tighter targets in low-volatility environments and wider targets when volatility expands.
Liquidity Sweep Detection: A distinctive feature that identifies when price has swept beyond a swing high/low and then reclaimed back inside. This pattern often indicates stop hunts followed by reversals.
Signal Quality Tiers: Rather than just "signal" or "no signal," the engine classifies setups into tiers. ULTRA (80+) represents highest probability setups with all factors aligned. HIGH (70-79) represents strong setups with multiple factors confirming. STANDARD meets minimum threshold for acceptable setups.
HOW THE SCORING WORKS
Each of the five factors generates a raw score from 0-100 based on current market conditions. These raw scores are then weighted according to the selected trading style (Balanced, Scalper, Swing, Range, Trend), adjusted based on current market regime detection, modified by higher timeframe alignment (if enabled), bonused when multiple factors exceed their activation thresholds simultaneously, and multiplied by session factors (if session filter is enabled).
The result is a final Bull Score and Bear Score, each ranging from 0-100, representing the current strength of long and short setups respectively.
Signal Generation Requirements:
- Score meets minimum threshold (configurable: 60-95)
- Required number of factors are "active" (default: 3 of 5)
- Market regime is not blocked (if blocking enabled)
- Higher timeframe alignment passes (if required)
- Cooldown period from last signal has elapsed
UNDERSTANDING THE DASHBOARDS
Main Dashboard (Top Right)
The main dashboard displays real-time scores and market context:
LONG Score - Current bullish setup strength (0-100) with quality tier displayed
SHORT Score - Current bearish setup strength (0-100) with quality tier displayed
Regime - Current market state showing TREND UP, TREND DN, VOLATILE, RANGE, or WEAK
HTF - Higher timeframe alignment showing BULL, BEAR, NEUT, or OFF
Squeeze - Volatility state showing SQZ (in squeeze), REL+ (bullish release), REL- (bearish release), or NORM
Gate - Factor count versus requirement, for example 4/3 means 4 factors active with 3 required
Sweep L/S - Liquidity sweep status for long and short setups
ATR% - Current ATR as percentile of recent range indicating relative volatility
Vol - Current volume relative to 20-period average
R:R - Current risk-reward ratio based on adaptive TP/SL calculations
Trade - Active trade status and unrealized profit/loss percentage
Analysis Dashboard (Bottom Left)
The analysis dashboard provides actionable guidance:
Signal Readiness - Visual progress bars showing how close each direction is to generating a signal
Blocking Factors - Identifies which specific factor is weakest and preventing signals
Recommended Action - Context-aware guidance such as WATCH, WAIT, MANAGE, or SCAN
Watch For - Specific events to monitor for setup completion
Opportunity Level - Overall market opportunity rating from EXCELLENT to VERY POOR
Timing - Contextual timing guidance based on current conditions
Status Bar (Bottom Center)
Compact view displaying Long Score, Gate Status, Current State, Gate Status, and Short Score in a single row for quick reference.
Dashboard Size - Auto Mode Explained
When Dashboard Size is set to "Auto", the indicator intelligently adjusts text size based on your current chart timeframe to optimize readability:
Auto-Sizing Logic:
1-Minute to 5-Minute Charts → Tiny
- Lower timeframes show more bars on screen
- Tiny text prevents dashboard from obscuring price action
- Recommended for scalping and high-frequency monitoring
15-Minute Charts → Small
- Balanced size for intraday trading
- Readable without being intrusive
1-Hour to Daily Charts → Normal
- Standard size for most trading styles
- Optimal readability for swing trading
Weekly and Monthly Charts → Large
- Larger text for position trading
- Fewer bars visible so space is available
Manual Override:
You can override auto-sizing for any dashboard individually:
- Dashboard Size (All): Sets master size applied to all dashboards
- Main Dashboard Size: Override for top-right dashboard specifically
- Analysis Panel Size: Override for bottom-left panel specifically
- Status Bar Size: Override for bottom-center bar specifically
Example Use Case:
Trading on 5m chart (default = Tiny) but you have good eyesight and large monitor:
- Set "Dashboard Size (All)" to "Small" or "Normal" for better readability
- Individual dashboards will use your override instead of auto-sizing
Recommendation:
Start with Auto mode and only adjust if dashboards are too large or too small for your monitor/eyesight.
UNDERSTANDING SIGNAL LABELS
When a signal generates, a label appears with trade information:
Minimal Style Example:
LONG 85
Shows tier icon, direction, and score only.
Detailed Style Example:
ULTRA LONG
Score: 85
Entry: 50250.50
TP1: 50650.25
TP2: 51500.75
SL: 49850.25
R:R 1:2.5
Regime: TREND UP
HTF: BULL
Tier Icons Explained:
indicates ULTRA quality with score 80 or higher
indicates HIGH quality with score between 70 and 79
indicates STANDARD quality with score meeting minimum threshold
UNDERSTANDING TRADE ZONES
When a signal generates, visual elements appear on the chart:
Entry Line (Purple) marks the entry price level
TP1 Line (Blue Dashed) marks the first take-profit target
TP2 Line (Cyan Dashed) marks the final take-profit target
SL Line (Orange Dotted) marks the stop-loss level
Trade Zone Box shows shaded area from SL to TP2
These elements extend forward as price progresses. When TP1 is hit, its line becomes solid to indicate achievement. When the trade completes at either TP2 or SL, all elements are cleaned up and the entry label converts to a compact ghost label for historical reference.
Exit Labels Explained:
+X.XX% indicates first target reached with partial profit secured
+X.XX% indicates full target reached with maximum profit achieved
-X.XX% indicates stop-loss triggered
TP1 Hit, SL... indicates stopped out after TP1 was already hit (optional display)
OPPOSITE SIGNAL HANDLING
When market conditions shift dramatically, the engine may generate a signal in the opposite direction while an existing trade is active. This represents a significant change in confluence and is handled automatically:
Automatic Trade Reversal Process:
1. Detection: New signal triggers opposite to current trade direction (e.g., SHORT signal while LONG trade is active)
2. Current Trade Closure:
- All visual elements (entry line, TP/SL lines, trade zone) are deleted
- Current trade is marked as closed
3. Entry Label Conversion:
- The detailed entry label is converted to a compact ghost label
- Ghost label shows direction + score (e.g., "LONG 75")
- Marked with "OPP" outcome to indicate opposite signal closure
- Moved to a non-interfering position below/above price
4. New Trade Initialization:
- Fresh entry label created for new direction
- New TP1, TP2, SL levels calculated based on new signal quality
- Trade zone and price lines drawn for new trade
Example Scenario:
You enter a LONG trade at score 72. Price moves sideways for 8 bars, then market structure breaks down. Confluence shifts heavily bearish with a sweep reclaim bear + momentum + volume spike, generating a SHORT signal at score 81. The engine automatically:
- Closes the LONG trade
- Converts "LONG 72" entry label to a small ghost label
- Opens new SHORT trade at current price
- Displays new SHORT entry label with full trade details
Trading Implication:
This behavior ensures the engine is always aligned with the highest-probability direction based on current confluence. It prevents you from holding a position when all five factors have flipped against you.
Note: This does NOT happen for every small score change. The opposite signal must meet all signal generation requirements (minimum score, gate pass, regime check, HTF alignment) before triggering. Typically occurs during strong trend reversals or major support/resistance breaks.
EXAMPLE TRADE : LONG
Instrument and Exchange: Bitcoin / TetherUS (BTC/USDT) on Binance
Timeframe: 5-minute
Timestamp: Nov 27, 2025 12:39 UTC
Indicator Script: Confluence Engine v1.0
Trade Type: Long (Example Trade)
Setting Used: Default
Signal Details:
- Tier: HIGH
- Score: 70
- Entry Price: 90040.70
- TP1 Target: 90868.63
- TP2 Target: 92110.52
- Stop Loss: 89325.94
- Risk Reward: 1:2.9
Trade Outcome:
- TP1 hit after 12 bars (+0.95%)
- TP2 hit after 28 bars (+2.85%)
- Total gain: +2.85% on full position
EXAMPLE TRADE : SHORT with Dashboard Explanation and interpretation
Instrument and Exchange: Ethereum / U.S. Dollar (ETH/USD) — Coinbase
Timeframe: 1-hour
Timestamp (screenshot): Nov 28, 2025 16:41 UTC
Indicator Script: Confluence Engine v1.0
Trade Type: Short (Example Trade)
Setting Used: Default
Signal Details
-Tier: STANDARD (STD)
-Score: 64
-Entry Price: 3037.26
-TP1 Target: 2981.61 (-55.65 pts)
-TP2 Target: 2898.12 (-139.14 pts)
-Stop Loss: 3099.79 (+62.53 pts)
-Risk:Reward: ≈ 1 : 2.2 (TP2/SL)
-Market Context at Signal
-Regime: TREND UP (contextual regime at time of signal) — mixed environment for shorts
-HTF Alignment: OFF (no higher-timeframe confirmation)
-Gate Status: 3 / 3 (minimum factor groups active — gate passed)
-Squeeze Status: NORM (no active compression breakout)
-Volume: ~1.8× average (elevated participation)
-ATR%: 57% (elevated volatility)
Analysis Dashboard Reading (what the user sees)
-Long Readiness: Needs +36 points to qualify.
-Short Readiness: Needs +11 points to qualify (closer but not auto-entering).
-Blocking Factors: Structure = 0 — the single decisive blocker preventing fresh signals.
-Opportunity Level: VERY POOR (roughly 20 / 100) — low quality environment for adding positions.
-Timing: Wait for better setup (do not add new positions).
-Trade Outcome (screenshot moment)
-Trade state: Active SHORT (opened earlier).
-Live P&L (snapshot): +0.14% (managing trade).
-TP1/TP2: Targets shown on chart (TP1 2981.61, TP2 2898.12). Not closed yet at screenshot.
-Visuals: Entry label, TP/SL lines and trade zone are displayed and being extended while trade is active.
Interpretation
The engine produced a standard short (Score 64) while the market showed elevated volume and volatility but no HTF confirmation. Although the Gate passed (3/3), Structure = 0 blocks the indicator from issuing fresh entries — this is intentional and by design: one missing factor (structure) is enough to prevent new signals even when other factors look supportive. The currently open short is being managed (partial targets and SL visible), but the system's recommendation is to manage the existing trade only and not open new shorts until structure or HTF alignment improves.
Why this example matters (teaching point)
-Gate ≠ Go: Gate pass (factor count) alone does not force fresh trades — the system enforces additional checks (structure, regime, HTF) to avoid lower-quality setups.
-Volume & Volatility are necessary but not sufficient: High volume and wide ATR create movement but do not replace structural validation.
-Active trade vs new entries: The script will continue to manage an already open trade but will not create a new signal while a blocking factor remains. This prevents overtrading and reduces false positives.
-Practical trader actions shown by the example
-Manage existing SHORT only: Trail to breakeven if TP1 is taken; scale out at TP1; hold remaining if price respects trend and structure reclaims.
-Do not add fresh positions: Wait for Structure > 0 or a HTF alignment that lifts the block.
-Watch for signals that matter: Sweep reclaim, HTF alignment turning bullish for shorts (i.e., HTF changes to BEAR), or a squeeze release with volume spike — these can clear the blocker and validate new entries.
RECOMMENDED TIMEFRAMES
For Scalping on 1m, 5m, or 15m charts: Use higher factor thresholds and shorter cooldowns. The faster pace requires stricter filtering.
For Day Trading on 15m, 30m, or 1H charts: This provides a balance of signal frequency and reliability suitable for most active traders.
For Swing Trading on 1H, 4H, or Daily charts: Expect higher quality signals with longer hold periods and fewer false signals.
For Position Trading on Daily or Weekly charts: Focus on ULTRA signals only for maximum conviction on longer-term positions.
Higher Timeframe Alignment Recommendations:
When trading 5m, use 1H as your HTF
When trading 15m, use 1H or 4H as your HTF
When trading 1H, use 4H or Daily as your HTF
When trading 4H, use Daily as your HTF
The general rule is to select an HTF that is 4 to 12 times your trading timeframe.
TRADING STYLE PRESETS
Balanced (Default)
Equal weighting across all five factors at 20% each. Suitable for most market conditions and recommended as starting point.
Scalper
Emphasizes Volume at 30% and Volatility at 30%. Designed for quick in-and-out trades on lower timeframes where immediate momentum and volatility expansion matter most.
Swing Trader
Emphasizes Structure at 30% and Momentum at 30%. Focuses on catching larger moves where trend direction and key levels are paramount.
Range Trader
Emphasizes Structure at 35% and Pattern at 25%. Optimized for sideways markets where support/resistance levels and reversal patterns dominate.
Trend Follower
Emphasizes Momentum at 40%. Designed for trending markets where staying with the dominant direction is the priority.
QUALITY MODE SETTINGS
Custom Mode
Set your own minimum score threshold. Lower thresholds between 60 and 65 generate more signals but with lower average quality. Higher thresholds of 75 or above generate fewer but higher-quality signals.
High Quality Mode
Uses minimum score of 70. Recommended for most users as it filters out marginal setups while still providing reasonable signal frequency.
Ultra Only Mode
Uses minimum score of 80 for maximum selectivity. Only the highest-conviction setups generate signals. Recommended for swing and position traders or during uncertain market conditions.
REGIME DETECTION
The engine continuously evaluates market conditions and classifies them into five states:
TREND UP
Characteristics: Strong ADX reading with EMAs aligned in bullish order
Trading Implications: Long signals receive score boost while short signals are suppressed. Momentum factor gains additional weight.
TREND DN
Characteristics: Strong ADX reading with EMAs aligned in bearish order
Trading Implications: Short signals receive score boost while long signals are suppressed. Momentum factor gains additional weight.
VOLATILE
Characteristics: High ATR percentile, wide Bollinger Bands, elevated volume
Trading Implications: Both directions remain viable but wider stops are recommended. Volume factor gains additional weight.
RANGE
Characteristics: Low ADX reading, narrow Bollinger Bands, low ATR percentile
Trading Implications: Structure signals are emphasized while momentum signals are suppressed. Pattern recognition becomes more important.
WEAK
Characteristics: Unclear or mixed conditions that do not fit other categories
Trading Implications: Reduced confidence in all signals. Consider waiting for clearer market conditions.
Filter Mode Options:
Off - Regime is detected and displayed but no score adjustments are applied
Adjust Scores - Automatically modifies factor weights based on current regime
Block Weak Regimes - Prevents signals from generating when regime is RANGE or WEAK
VOLATILITY SQUEEZE DETECTION
A volatility squeeze occurs when Bollinger Bands contract inside the Keltner Channel, indicating reduced volatility and potential energy building for a breakout.
Squeeze States Explained:
SQZ with bar count (example: SQZ 15)
Indicates currently in squeeze for the displayed number of bars. A score penalty is applied during this phase because compression represents uncertainty about direction.
REL+ (Release Bullish)
Indicates squeeze has released with price above the basis line. Score bonus is applied for long setups as this often precedes strong upward moves.
REL- (Release Bearish)
Indicates squeeze has released with price below the basis line. Score bonus is applied for short setups as this often precedes strong downward moves.
NORM (Normal)
No active squeeze detected. Standard scoring applies.
Trading Implication:
Squeeze releases often produce strong directional moves. The engine detects both the squeeze duration and the release direction, awarding bonus points to signals that align with the release. Longer squeeze duration often corresponds to more powerful breakouts.
LIQUIDITY SWEEP DETECTION
Markets often sweep beyond obvious support and resistance levels to trigger stops before reversing. The engine detects these patterns:
Bullish Sweep Reclaim
Price sweeps below recent swing low, triggering stop losses, then reclaims back above the swing low. This often indicates smart money accumulation after retail stops are collected.
Bearish Sweep Reclaim
Price sweeps above recent swing high, triggering stop losses, then reclaims back below the swing high. This often indicates smart money distribution after retail stops are collected.
Sweep Status in Dashboard:
RCL (Reclaim) - Reclaim has been confirmed. This receives highest structure score as the pattern is complete.
PND (Pending) - Sweep has occurred and price is near the level but full reclaim not yet confirmed. Watching for completion.
ACT (Active) - Sweep is currently in progress with price beyond the swing level.
Dash (-) - No sweep activity detected.
MULTI-FACTOR GATE SYSTEM
Beyond overall score, the engine counts how many individual factors meet their activation threshold.
Example Calculation:
Structure score 45 with threshold 35 equals ACTIVE
Momentum score 25 with threshold 30 equals INACTIVE
Volume score 50 with threshold 35 equals ACTIVE
Volatility score 40 with threshold 30 equals ACTIVE
Pattern score 35 with threshold 30 equals ACTIVE
Result: 4 of 5 factors are active
If minimum required factors is set to 3, this example passes the gate and receives a 4-factor bonus.
Gate Bonuses:
4 factors active adds 8 points to final score (default setting)
5 factors active adds 15 points to final score (perfect confluence)
Purpose:
This mechanism prevents scenarios where one extremely high factor score masks four weak factors. A score of 75 with only 2 active factors is less reliable than a score of 70 with 4 active factors.
ADAPTIVE RISK MANAGEMENT
Take-profit and stop-loss distances adjust dynamically based on three inputs:
Volatility Influence (default 40% weight)
Low ATR percentile produces tighter targets
High ATR percentile produces wider targets
This ensures stops are not too tight in volatile conditions or too wide in calm conditions.
Regime Influence (default 30% weight)
Trending market with aligned signal produces extended targets
Ranging market produces contracted targets
Volatile regime produces wider stops for protection
Score Influence (default 30% weight)
ULTRA signals (high conviction) receive extended targets
STANDARD signals receive standard targets
Higher conviction justifies larger profit expectations.
You can configure the weight of each influence in settings to match your trading style.
SESSION FILTER (Optional Feature)
When enabled, the engine applies score multipliers based on the trading session:
Asian Session (default 0.9x multiplier)
Characterized by lower volatility and ranging tendency. Score reduction reflects reduced opportunity.
London Session (default 1.1x multiplier)
Characterized by high volatility and trend initiation. Score boost reflects increased opportunity.
London/NY Overlap (default 1.2x multiplier)
Characterized by highest liquidity and strongest moves. Maximum score boost reflects peak trading conditions.
New York Session (default 1.05x multiplier)
Characterized by volatility but typically after initial moves have occurred.
Configure your UTC offset in settings to align session detection with your chart timezone.
ALERT SYSTEM
The indicator provides comprehensive alerts with dynamic data:
Signal Alerts:
- ULTRA Long Signal with full trade details
- ULTRA Short Signal with full trade details
- HIGH Long Signal with key levels
- HIGH Short Signal with key levels
- Any Long Signal with basic info
- Any Short Signal with basic info
Trade Management Alerts:
- TP1 Reached with profit percentage
- TP2 Full Target with total profit
- Stop Loss Hit with loss percentage and status
Technical Event Alerts:
- Squeeze Release
- Liquidity Sweep
- Perfect Confluence
- Regime Change
All alerts include actual calculated values such as score, entry price, target levels, stop level, and risk-reward ratio at the time of trigger.
AUTOMATIC SETTINGS VALIDATION
The indicator performs comprehensive validation when first loaded on a chart. If configuration errors are detected, a warning label appears on the chart with specific guidance.
Critical Errors (Prevent Signal Generation):
ULTRA threshold must exceed HIGH threshold
- Example error: HIGH = 75, ULTRA = 70
- Fix: Ensure ULTRA threshold is higher than HIGH threshold
- Default safe values: HIGH = 70, ULTRA = 80
Minimum factors cannot exceed 5
- The gate requires 3 to 5 factors (you cannot require 6 of 5 factors)
- Fix: Set minimum active factors to 3, 4, or 5
TP2 multiplier must exceed TP1 multiplier
- Example error: TP1 = 3.0 ATR, TP2 = 2.0 ATR
- Fix: Ensure TP2 (final target) is farther than TP1 (partial target)
- Default safe values: TP1 = 2.0, TP2 = 5.0
Swing lookback minimum is 3 bars
- Liquidity sweep detection requires at least 3 bars to identify swing highs/lows
- Fix: Increase swing lookback period to 3 or higher
ATR period minimum is 5 bars
- ATR calculation requires sufficient data for accuracy
- Fix: Increase ATR period to 5 or higher (14 recommended)
Higher timeframe must be larger than chart timeframe
- Example error: Trading on 1H chart with MTF set to 15m
- Fix: Select HTF that is 4-12x your chart timeframe
- Example: If trading 15m, use 1H or 4H as HTF
Warnings (Signal Generation Continues):
Score threshold below 50 generates many signals
- Lower thresholds increase signal frequency but reduce quality
- Recommendation: Use minimum 60 for active trading, 70+ for swing trading
Cooldown below 3 bars may cause signal clustering
- Very short cooldowns can produce multiple signals in quick succession
- Recommendation: Use 5+ bars for lower timeframes, 3+ for higher timeframes
Validation Label Display:
When errors are detected, a label appears at the top of the chart showing:
SETTINGS QUICK REFERENCE
Signal Quality Section:
Quality Mode: High Quality recommended for most users
Custom Minimum Score: Used when Quality Mode is set to Custom (range 30-95)
HIGH Threshold: Score required for HIGH tier classification (default 70)
ULTRA Threshold: Score required for ULTRA tier classification (default 80)
Regime Engine Section:
Enable Regime Detection: Activates automatic market state classification
Filter Mode: Off, Adjust Scores, or Block Weak Regimes
ADX Strong Threshold: ADX level indicating strong trend (default 25)
ADX Weak Threshold: ADX level indicating ranging conditions (default 15)
Show Regime Background: Displays subtle background color for current regime
Liquidity and Squeeze Section:
Enable Liquidity Sweep Detection: Activates sweep and reclaim pattern detection
Swing Lookback Period: Bars used to identify swing highs and lows (default 8)
Reclaim Threshold: Percentage of range price must reclaim after sweep (default 15%)
Enable Volatility Squeeze Detection: Activates Bollinger/Keltner squeeze detection
Keltner Channel Multiplier: Width multiplier for Keltner Channel (default 1.5)
Squeeze Penalty: Points subtracted during active squeeze (default 25)
Squeeze Release Bonus: Points added on squeeze release (default 20)
Enable Multi-Factor Gate: Requires minimum factors active before signaling
Minimum Active Factors: How many factors must meet threshold (default 3)
Individual Factor Thresholds: Customize activation threshold for each factor
4-Factor Bonus: Points added when 4 of 5 factors active (default 8)
5-Factor Bonus: Points added when all 5 factors active (default 15)
MTF Confluence Section:
Enable MTF Confluence: Activates higher timeframe trend analysis
Higher Timeframe: Select timeframe for trend alignment (recommend 4-12x chart TF)
Require HTF Alignment: Block signals opposing higher timeframe trend
Show HTF EMAs: Display higher timeframe EMA 21 and EMA 50 on chart
Trading Style Section:
Enable Style Weighting: Activates factor weight adjustments based on style
Trading Style: Balanced, Scalper, Swing Trader, Range Trader, or Trend Follower
Custom Weights: Individual weight sliders when fine-tuning is needed
Session Filter Section:
Enable Session Filter: Activates session-based score multipliers
Your UTC Offset: Your timezone offset for accurate session detection
Session Multipliers: Individual multipliers for Asian, London, New York, and Overlap sessions
Risk Parameters Section:
ATR Period: Period for Average True Range calculation (default 14)
TP1 ATR Multiple: First target distance as ATR multiple (default 2.0)
TP2 ATR Multiple: Final target distance as ATR multiple (default 5.0)
SL ATR Multiple: Stop loss distance as ATR multiple (default 2.0)
Enable Adaptive TP/SL: Activates dynamic adjustment based on conditions
Volatility Weight: Influence of ATR percentile on adaptive calculation (default 40%)
Regime Weight: Influence of market regime on adaptive calculation (default 30%)
Score Weight: Influence of signal score on adaptive calculation (default 30%)
Appearance Section:
Color Theme: Matrix (green/red), Dark (modern dark), or Light (clean light)
Label Detail: Minimal (score only), Standard (key info), or Detailed (full breakdown)
Dashboard Size Controls: Master size and individual overrides for each dashboard
Show Trade Zones: Display shaded box from SL to TP2 for active trades
Show TP/SL Labels: Display price labels on target and stop lines
Show Trailing Exit Labels: Display exit label when stopped after TP1 hit
Show Main Dashboard: Toggle main dashboard visibility (top right)
Show Analysis Dashboard: Toggle analysis panel visibility (bottom left)
Show Status Bar: Toggle compact status bar visibility (bottom center)
Performance Section:
Performance Mode: Reduces visual elements on lower timeframes automatically
Max Ghost Labels: Maximum historical signal labels to retain (default 50)
Signal Cooldown: Minimum bars between signals in same direction (default 5)
Enable Script Alerts: Controls whether alert() calls fire automatically (default ON)
- ON: Dynamic alerts with calculated values fire automatically
- OFF: alert() suppressed, alertcondition() still available for manual creation
- Use OFF when testing settings or monitoring multiple instruments visually
- Toggle per-chart for selective alert coverage across watchlist
Show Factor Markers: Display shapes on chart when 3, 4, or 5 factors align
Show Score Breakdown: Display detailed factor scores table in debug panel
Show Regime Debug: Display regime state and ADX value in debug panel
Show MTF Debug: Display higher timeframe status in debug panel
DEBUG MODE AND FACTOR MARKERS
The indicator includes optional debug tools for traders who want deeper insight into the scoring mechanics and factor analysis. These features are disabled by default to keep the chart clean but can be enabled in the Debug Mode settings group.
FACTOR MARKERS
When "Show Factor Markers" is enabled, visual shapes appear on the chart indicating confluence states:
Perfect Confluence (5/5 Factors Active)
A circle appears below the bar for bullish or above the bar for bearish setups. This represents maximum confluence where all five analytical dimensions meet their activation thresholds simultaneously. A small label showing "5/5" also appears. This is a rare occurrence and typically precedes the highest quality signals. Background color shifts to highlight this exceptional alignment.
Strong Confluence (4/5 Factors Active)
A diamond shape appears below the bar for bullish or above the bar for bearish setups. This represents strong confluence with four of five factors active. A label showing "4/5" appears when this state is first achieved. This level of confluence is associated with high-quality setups.
Ready Confluence (3/5 Factors Active)
A triangle appears below the bar (pointing up) for bullish or above the bar (pointing down) for bearish setups. This represents the minimum confluence level required when gate is set to 3 factors. No label appears for this level to reduce visual clutter.
Confluence Background
When factor markers are enabled, a subtle background color appears indicating the current confluence state. Stronger colors indicate higher confluence levels. Bullish confluence shows green tints while bearish confluence shows red tints.
Purpose of Factor Markers:
These markers help traders visualize when confluence is building before a signal triggers. You might see a 4/5 diamond appear one or two bars before the actual signal, giving you advance notice that conditions are aligning. This can help with preparation and timing.
DEBUG PANEL (Bottom Right)
When any debug option is enabled, a debug panel appears in the bottom right corner of the chart providing detailed scoring information.
Score Breakdown Table
When "Show Score Breakdown" is enabled, the panel displays:
Factor column showing Structure, Momentum, Volume, Volatility, and Pattern
Bull column showing raw score (0-100) for each bullish factor
Bear column showing raw score (0-100) for each bearish factor
Weight column showing current percentage weight for each factor
Below the factor rows :
FINAL row shows the calculated final Bull and Bear scores after all adjustments
Adj row shows total adjustments applied including gate bonus, squeeze adjustment, and exhaustion adjustment with positive or negative sign
This breakdown allows you to see exactly which factors are contributing to the score and which are lagging. If you notice Structure consistently low, you know to wait for better price positioning relative to swing levels.
Regime Debug
When "Show Regime Debug" is enabled, the panel displays:
Current regime state (TREND UP, TREND DN, VOLATILE, RANGE, WEAK)
Current ADX value driving the regime classification
This helps you understand why certain score adjustments are being applied and verify the regime detection is working as expected for current market conditions.
MTF Debug
When "Show MTF Debug" is enabled, the panel displays:
Current MTF alignment status (BULL, BEAR, NEUT)
The higher timeframe being analyzed
This confirms the higher timeframe data is being read correctly and shows you the trend bias from the larger timeframe perspective.
Using Debug Mode Effectively
For Learning: Enable all debug options when first using the indicator to understand how scores are calculated and what drives signal generation.
For Optimization: Use score breakdown to identify which factors are consistently weak in your chosen market and timeframe. This can inform whether to adjust factor thresholds or switch trading styles.
For Troubleshooting: If signals seem inconsistent, enable debug to see exactly what values the engine is working with. This helps identify if a specific factor is behaving unexpectedly.
For Live Trading: Disable debug features to keep chart clean and reduce visual distraction. The main dashboards provide sufficient information for trade execution.
Debug Settings Summary:
Show Factor Markers - Displays shapes on chart when 3, 4, or 5 factors align. Useful for seeing confluence build before signals trigger.
Show Score Breakdown - Displays detailed table with all raw factor scores, weights, and adjustments. Useful for understanding exactly how final score is calculated.
Show Regime Debug - Adds regime state and ADX value to debug panel. Useful for verifying regime detection accuracy.
Show MTF Debug - Adds higher timeframe status and timeframe to debug panel. Useful for confirming MTF data is loading correctly.
PERFORMANCE CONSIDERATIONS
On lower timeframes such as 1-minute and 5-minute charts, the indicator creates visual elements including labels, lines, and boxes that may impact performance on slower devices.
Performance Mode automatically reduces visual elements, optimizes calculation frequency, and limits historical ghost labels when enabled.
Configure Max Ghost Labels (default 50) to control how many historical signal labels are retained on the chart.
NON-REPAINTING DESIGN
Signal Integrity:
All entry and exit signals generate only on confirmed (closed) bars using barstate.isconfirmed checks. This ensures signals do not appear and disappear during bar formation.
Higher Timeframe Data:
MTF analysis uses request.security with lookahead disabled (barmerge.lookahead_off) to prevent future data from influencing current calculations.
Visual Elements:
Lines, boxes, and labels for active trades update in real-time for monitoring purposes but this visual updating does not affect signal generation logic. Entry decisions are made solely on confirmed bar data.
DISCLAIMER
Trading financial instruments involves substantial risk of loss and is not suitable for all investors. Past performance does not guarantee future results. This indicator is a technical analysis tool provided for educational purposes only. It does not constitute financial advice, trading recommendations, or solicitation to buy or sell any financial instrument.
The developer makes no representations regarding the accuracy of signals or the profitability of trading based on this indicator. Users assume full responsibility for their trading decisions and should conduct their own analysis before entering any trade.
Always use proper risk management. Never risk more than you can afford to lose. Consider consulting a qualified financial advisor before making trading decisions.
VERSION HISTORY
v1.0 - Initial Release
- Five-factor confluence scoring system
- Regime detection and automatic adaptation
- Liquidity sweep and reclaim detection
- Volatility squeeze state machine
- Multi-factor gate with bonus system
- Adaptive risk management
- Comprehensive alert system
- Three dashboard display panels
- Session filter with multipliers
- Multiple trading style presets
- Theme customization options
Developed by BullByte
Pine Script v6
2025
RT-Liquidation Engine-DeltaIntroduction
The RT-Liquidation Engine-Levels is a liquidity mapping tool designed to highlight where leveraged long and short positions may be vulnerable to liquidation. It plots projected Liquidation Levels above and below price, grouped by leverage tiers, so traders can see where the algorithm estimates clustered liquidation zones might sit relative to current price. The RT-Liquidation Engine-Levels indicator is intended to be used in conjunction with the RT-Liquidation Engine-Delta indicator. This writeup will cover both indicators in depth and explain how they work together.
Liquidity Theory – What This Tool Is Looking At
Liquidity levels are a data point that advanced traders study to understand the price levels where positions may be forced out of the market. While exchanges can show open orders in an order book, they do not publish where traders will be liquidated. However, market participants who can estimate those zones often pay close attention to them, because a single wick can be enough to trigger liquidations and force positions to close into the market.
The RT-Liquidation Engine is built around this concept. It uses on-chart information and volume to approximate where these potential liquidation areas may be and displays them directly on the price chart so traders can see the projected levels they may want to monitor.
How It Works
Because real Liquidation Levels are not published by exchanges, the indicator cannot read them directly. Instead, it uses an internal algorithm that studies current prices, direction, and volume to estimate where common leveraged positions might be at risk.
Conceptually, the algorithm: Uses the visible data on the chart to approximate where typical leveraged long and short positions may be clustered.
Projects those estimates as horizontal levels above and below current price.
Keeps those projected levels on the chart until price action trades into them and the level is considered “touched.” The result is a set of dynamic levels that act as an estimated map of where liquidation events might be more likely, based on the chart’s own history and current structure. Trader Math And Leverage Levels
Traders using perpetual futures often use different leverage levels for their positions. The higher the leverage, the more vulnerable those positions are to being liquidated by relatively small moves in price.
While the exact leverage of individual traders is unknown, the Liquidation Engine focuses on four commonly referenced leverage tiers: 5x Leverage
10x Leverage
25x Leverage
50x Leverage Each tier can be displayed as its own set of projected Liquidation Levels on the chart so traders can see a structured view of where different leverage groups may be sensitive.
The Liquidation Levels can be displayed with Multi Color options or in Red/Green depending on the trader's preference.
The above chart shows the Liquidation Levels being displayed with Multi Colors. The above chart shows the Liquidation Levels being displayed in Red/Green.
Reading The Levels
Above and below the candles you will see projected Liquidation Levels. These levels appear at the prices where the algorithm estimates that leveraged positions for each tier could be vulnerable, and they remain drawn until price has traded through them.
In the default view: Thickness of the level – Indicates the estimated size of the position. Thicker lines represent larger projected positions.
Color of the level – Indicates which leverage group the level belongs to (5x, 10x, 25x, or 50x).
Length of the level – Indicates how long the estimated leveraged position has been open according to the algorithm.
This combination provides a visual profile of which zones have more concentrated projected liquidation interest and which have been standing in the market for longer.
Tuning Options
The Liquidation Engine includes a focused set of tuning options so traders can adjust how much information is plotted and how it appears on their charts. Custom Tuning Options Include: Sensitivity Filter – Adjusts the overall threshold the algorithm uses when estimating positions. Increasing this value reduces the number of plotted levels and focuses on larger estimated positions. Decreasing it allows smaller estimated positions to be considered, increasing the number of displayed levels.
Leverage Level Toggles – Individual toggles for each leverage group (5x, 10x, 25x, 50x).
These allow traders to show or hide specific tiers depending on which groups they want to monitor.
Color Settings – Controls the colors and transparency of the levels.
Traders can adjust these settings to match their chart theme and highlight or soften specific leverage groups.
Summary Table Options – Controls the on-chart table that tracks the estimated number of Long versus Short positions. Table On/Off – Toggles the table on or off.
Table Position – Moves the table to different corners of the chart.
Table Background Color / Table Text Color – Customizes the table’s appearance.
Liquidation Engine – Delta
In addition to plotting projected Liquidation Levels, the RT-Liquidation Engine-Levels Indicator is to be used in conjunction with the RT-Liquidation Engine-Delta Indicator. This tool displays the Liquidation Delta data that the algorithm estimates on the imbalance between long and short exposure. Conceptually, the RT-Liquidation Engine-Delta Indicator computes the following items:
Aggregates the estimated long and short positions from the projected Liquidation Levels.
Calculates a net difference (delta) between those two estimates.
Displays that difference so traders can see when the projected open interest appears skewed to one side. When the estimated order book is heavily skewed in one direction, the market may sometimes move in the opposite direction as conditions rebalance. The delta view is designed to provide context for those potential rebalancing moves, not to predict exact turning points.
Tuning options for the RT-Liquidation Engine-Delta Indicator are aligned with the RT-Liquidation Engine-Levels Indicator settings. If you change filters, toggles, or colors in the Levels tool, it is recommended to mirror those settings in the Delta tool so both views remain synchronized.
Best Practices
Some common usage patterns include:
Timeframes – Many traders prefer to use Liquidation Engine on intraday timeframes under 60 minutes. Timeframes such as 30-minute candles or smaller are often used when monitoring leveraged flows.
Load Times – The algorithm performs a significant amount of calculations to project these Liquidation Levels and Deltas. On some symbols and timeframes, this can take noticeable time to load the chart. When changing settings, keep an eye on the loading indicator in the chart header to confirm calculations are still running. In normal conditions, these calculations are completed in less than 30 seconds.
Market Sessions And Levels Out Of Range – If projected levels appear far from current price or do not align with visible action, check the chart’s session settings in the bottom-left of the chart (for example, ETH vs RTH sessions). Ensuring the correct session is active can help keep the displayed levels in a more relevant range.
These guidelines are intended to make the tool easier to work with and to keep expectations realistic when interpreting the projections.
What Makes This Tool Different
While many indicators focus on price alone, the Liquidation Engine Levels and Delta tools are designed specifically around estimated liquidation behavior: It concentrates on where leveraged positions may be at risk, rather than only where price has been in the past.
It segments projected levels by leverage tier so traders can distinguish between different risk profiles on the chart.
It includes both a level-mapping view and a delta view, providing context for both where levels sit and how imbalanced the estimated positioning might be.
Important Note
The RT-Liquidation Engine-Levels and RT-Liquidation Engine-Delta tools provide an approximation of where leveraged positions might be vulnerable based solely on chart data. They do not access actual exchange liquidation feeds, does not reveal real trader positions, and cannot guarantee that a projected level will cause price to react.
This indicator is intended to provide additional context around potential liquidation zones and positioning imbalances. It is not a standalone signal generator and should always be used together with your own analysis, testing, and risk management. Historical interactions with projected Liquidation Levels, including any illustrative examples, do not guarantee future results.
🐋 Tight lines and happy trading!
RT-Liquidation Engine-LevelsIntroduction
The RT-Liquidation Engine-Levels is a liquidity mapping tool designed to highlight where leveraged long and short positions may be vulnerable to liquidation. It plots projected Liquidation Levels above and below price, grouped by leverage tiers, so traders can see where the algorithm estimates clustered liquidation zones might sit relative to current price. The RT-Liquidation Engine-Levels indicator is intended to be used in conjunction with the RT-Liquidation Engine-Delta indicator. This writeup will cover both indicators in depth and explain how they work together.
Liquidity Theory – What This Tool Is Looking At
Liquidity levels are a data point that advanced traders study to understand the price levels where positions may be forced out of the market. While exchanges can show open orders in an order book, they do not publish where traders will be liquidated. However, market participants who can estimate those zones often pay close attention to them, because a single wick can be enough to trigger liquidations and force positions to close into the market.
The RT-Liquidation Engine is built around this concept. It uses on-chart information and volume to approximate where these potential liquidation areas may be and displays them directly on the price chart so traders can see the projected levels they may want to monitor.
How It Works
Because real Liquidation Levels are not published by exchanges, the indicator cannot read them directly. Instead, it uses an internal algorithm that studies current prices, direction, and volume to estimate where common leveraged positions might be at risk.
Conceptually, the algorithm: Uses the visible data on the chart to approximate where typical leveraged long and short positions may be clustered.
Projects those estimates as horizontal levels above and below current price.
Keeps those projected levels on the chart until price action trades into them and the level is considered “touched.” The result is a set of dynamic levels that act as an estimated map of where liquidation events might be more likely, based on the chart’s own history and current structure. Trader Math And Leverage Levels
Traders using perpetual futures often use different leverage levels for their positions. The higher the leverage, the more vulnerable those positions are to being liquidated by relatively small moves in price.
While the exact leverage of individual traders is unknown, the Liquidation Engine focuses on four commonly referenced leverage tiers: 5x Leverage
10x Leverage
25x Leverage
50x Leverage Each tier can be displayed as its own set of projected Liquidation Levels on the chart so traders can see a structured view of where different leverage groups may be sensitive.
The Liquidation Levels can be displayed with Multi Color options or in Red/Green depending on the trader's preference.
The above chart shows the Liquidation Levels being displayed with Multi Colors. The above chart shows the Liquidation Levels being displayed in Red/Green.
Reading The Levels
Above and below the candles you will see projected Liquidation Levels. These levels appear at the prices where the algorithm estimates that leveraged positions for each tier could be vulnerable, and they remain drawn until price has traded through them.
In the default view: Thickness of the level – Indicates the estimated size of the position. Thicker lines represent larger projected positions.
Color of the level – Indicates which leverage group the level belongs to (5x, 10x, 25x, or 50x).
Length of the level – Indicates how long the estimated leveraged position has been open according to the algorithm.
This combination provides a visual profile of which zones have more concentrated projected liquidation interest and which have been standing in the market for longer.
Tuning Options
The Liquidation Engine includes a focused set of tuning options so traders can adjust how much information is plotted and how it appears on their charts. Custom Tuning Options Include: Sensitivity Filter – Adjusts the overall threshold the algorithm uses when estimating positions. Increasing this value reduces the number of plotted levels and focuses on larger estimated positions. Decreasing it allows smaller estimated positions to be considered, increasing the number of displayed levels.
Leverage Level Toggles – Individual toggles for each leverage group (5x, 10x, 25x, 50x).
These allow traders to show or hide specific tiers depending on which groups they want to monitor.
Color Settings – Controls the colors and transparency of the levels.
Traders can adjust these settings to match their chart theme and highlight or soften specific leverage groups.
Summary Table Options – Controls the on-chart table that tracks the estimated number of Long versus Short positions. Table On/Off – Toggles the table on or off.
Table Position – Moves the table to different corners of the chart.
Table Background Color / Table Text Color – Customizes the table’s appearance.
Liquidation Engine – Delta
In addition to plotting projected Liquidation Levels, the RT-Liquidation Engine-Levels Indicator is to be used in conjunction with the RT-Liquidation Engine-Delta Indicator. This tool displays the Liquidation Delta data that the algorithm estimates on the imbalance between long and short exposure. Conceptually, the RT-Liquidation Engine-Delta Indicator computes the following items:
Aggregates the estimated long and short positions from the projected Liquidation Levels.
Calculates a net difference (delta) between those two estimates.
Displays that difference so traders can see when the projected open interest appears skewed to one side. When the estimated order book is heavily skewed in one direction, the market may sometimes move in the opposite direction as conditions rebalance. The delta view is designed to provide context for those potential rebalancing moves, not to predict exact turning points.
Tuning options for the RT-Liquidation Engine-Delta Indicator are aligned with the RT-Liquidation Engine-Levels Indicator settings. If you change filters, toggles, or colors in the Levels tool, it is recommended to mirror those settings in the Delta tool so both views remain synchronized.
Best Practices
Some common usage patterns include:
Timeframes – Many traders prefer to use Liquidation Engine on intraday timeframes under 60 minutes. Timeframes such as 30-minute candles or smaller are often used when monitoring leveraged flows.
Load Times – The algorithm performs a significant amount of calculations to project these Liquidation Levels and Deltas. On some symbols and timeframes, this can take noticeable time to load the chart. When changing settings, keep an eye on the loading indicator in the chart header to confirm calculations are still running. In normal conditions, these calculations are completed in less than 30 seconds.
Market Sessions And Levels Out Of Range – If projected levels appear far from current price or do not align with visible action, check the chart’s session settings in the bottom-left of the chart (for example, ETH vs RTH sessions). Ensuring the correct session is active can help keep the displayed levels in a more relevant range.
These guidelines are intended to make the tool easier to work with and to keep expectations realistic when interpreting the projections.
What Makes This Tool Different
While many indicators focus on price alone, the Liquidation Engine Levels and Delta tools are designed specifically around estimated liquidation behavior: It concentrates on where leveraged positions may be at risk, rather than only where price has been in the past.
It segments projected levels by leverage tier so traders can distinguish between different risk profiles on the chart.
It includes both a level-mapping view and a delta view, providing context for both where levels sit and how imbalanced the estimated positioning might be.
Important Note
The RT-Liquidation Engine-Levels and RT-Liquidation Engine-Delta tools provide an approximation of where leveraged positions might be vulnerable based solely on chart data. They do not access actual exchange liquidation feeds, does not reveal real trader positions, and cannot guarantee that a projected level will cause price to react.
This indicator is intended to provide additional context around potential liquidation zones and positioning imbalances. It is not a standalone signal generator and should always be used together with your own analysis, testing, and risk management. Historical interactions with projected Liquidation Levels, including any illustrative examples, do not guarantee future results.
🐋 Tight lines and happy trading!
Titan EMA Liquidity [Stansbooth]
🔥 Precision EMA + FVG Liquidity Sweep System
Advanced Buy/Sell Signal Engine for High-Probability Trade Entries
Unlock a new level of precision with this all-in-one market structure indicator built for traders who demand accuracy, clarity, and confidence.
This tool combines EMA trend filtration , Fair Value Gap (FVG) detection , and liquidity sweep analysis to deliver powerful buy and sell signals that align with institutional price behavior.
✅ Key Features
Dynamic EMA Trend Filter:
Identifies true trend direction and filters out low-quality trades. Signals only trigger when momentum aligns with higher-timeframe directional bias.
Smart FVG Detection:
Automatically highlights bullish and bearish Fair Value Gaps, helping you spot premium/discount zones where institutional traders seek entries.
Liquidity Sweep Identification:
Detects equal highs/lows, stop hunts, and engineered liquidity grabs—then confirms reversals when price sweeps liquidity and returns inside structure.
High-Accuracy Signal Engine:
Buy/Sell alerts trigger only when three layers agree:
1. EMA trend alignment
2. FVG confirmation
3. Liquidity sweep completion
This results in cleaner signals , fewer false entries, and strong trend continuation setups.
Optimized for All Market Conditions:
Works for scalping, day trading, and swing trading across Forex, Crypto, Indices, and Stocks.
What This Indicator Helps You Achieve
Capture smart-money style entries with reduced drawdown
Enter after liquidity grabs instead of before them
Avoid chop with EMA-filtered market direction
Spot precision premium/discount zones using automatic FVG mapping
Obtain high-confidence Buy/Sell signals based on institutional concept
Why Traders Love It
This system isn’t just another signal generator—it’s a market-structure aware model that reads the chart the same way professional traders do.
Every signal is based on probability stacking , giving you the clarity and confidence to take the best setups while ignoring noise.
[iQ]PRO Fractals in Dealing Range and Fib Levels+⚡️ PRO Combined Fractal & Dealing Range THEORY W QUADRANTS AND FIB LEVELS: Dynamic Price Structure Analysis
The PRO Combined Fractal & Dealing Range indicator is a proprietary, cutting-edge market structure analysis tool designed to give serious traders a tactical edge by merging advanced Fractal-based wave detection with a sophisticated Dynamic Dealing Range system. This professional-grade utility provides a crystal-clear, multi-layered view of key supply and demand zones, trend reversals, and structural boundaries.
Key Features & Proprietary Logic
This indicator is built on two harmoniously integrated engines, providing a comprehensive view that goes far beyond standard technical analysis.
📈 Adaptive Fractal Wave Engine
Our custom-tuned Fractal Engine employs a unique, multi-degree detection process to identify both Base Swings and Higher Degree Swings with unparalleled precision.
Proprietary Period Calculation: The engine utilizes a specialized formula based on the Golden Ratio (ϕ) to determine a refined higher-degree lookback period: Period
F
=floor(Period
Base
ϕ
). This adaptive logic helps filter market noise and highlight only the most significant structural turning points.
Dynamic Labeling: Automatically places visual markers on the chart to define confirmed Highs and Lows, simplifying the interpretation of market structure and potential directional shifts.
🎯 Dynamic Dealing Range System
This core component provides a detailed, automatically calculated framework of critical price levels, serving as a roadmap for potential entries, targets, and risk management.
Strategic Quadrant Mapping: Automatically establishes a significant Dealing Range based on a customizable lookback period, then divides it into four distinct Quadrants (Q1-Q4). These zones highlight areas of Premium, Equilibrium (Q2-Q3), and Discount, guiding trading decisions relative to the overall range.
Advanced Level Detection:
Fibonacci Retracement: Displays key Fibonacci levels (e.g., 50%, 61.8%, 78.6%) within a user-defined range, identifying high-probability reversal and reaction areas.
Liquidity & Pivots: The indicator incorporates a proprietary Liquidity Detection Algorithm using adaptive pivot sensitivity to identify significant historical support and resistance zones.
Inter-Timeframe Structure: Features a non-repainting method to display Important Highs/Lows (such as Monthly, Weekly, and Daily extremes) right on your current chart, bridging the gap between timeframes.
Professional Trader Utility
Clarity on Price Action: Instantly see the structure of the market and which direction the momentum is flowing based on the confirmed fractal swings.
Actionable Alerts: Receive timely and precise alerts when price approaches critical psychological and structural levels, including the Quadrant boundaries and the highly reactive Fibonacci 0.618 level.
Information at a Glance: A clean, professional table is displayed on the chart, summarizing the calculated range boundaries (Quadrant and Fibonacci Highs/Lows) for immediate reference.
The PRO Combined Fractal & Dealing Range is an indispensable tool for traders focused on market structure, institutional price action, and trading within clearly defined ranges. It is designed to minimize subjectivity and maximize clarity on your TradingView chart.
NO REPAINT ;)
Session Open Range, Breakout & Trap Framework - TrendPredator OBSession Open Range, Breakout & Trap Framework — TrendPredator Open Box
Stacey Burke’s trading approach combines concepts from George Douglas Taylor, Tony Crabel, Steve Mauro, and Robert Schabacker. His framework focuses on reading price behaviour across daily templates and identifying how markets move through recurring cycles of expansion, contraction, and reversal. While effective, much of this analysis requires real-time interpretation of session-based behaviour, which can be demanding for traders working on lower intraday timeframes.
The TrendPredator indicators formalize parts of this methodology by introducing mechanical rules for multi-timeframe bias tracking and session structure analysis. They aim to present the key elements of the system—bias, breakouts, fakeouts, and range behaviour—in a consistent and objective way that reduces discretionary interpretation.
The Open Box indicator focuses specifically on the opening behaviour of major trading sessions. It builds on principles found in classical Open Range Breakout (ORB) techniques described by Tony Crabel, where a defined time window around the session open forms a structural reference range. Price behaviour relative to this range—breaking out, failing back inside, or expanding—can highlight developing session bias, potential trap formation, and directional conviction.
This indicator applies these concepts throughout the major equity sessions. It automatically maps the session’s initial range (“Open Box”) and tracks how price interacts with it as liquidity and volatility increase. It also incorporates related structural references such as:
* the first-hour high and low of the futures session
* the exact session open level
* an anchored VWAP starting at the session open
* automated expansion levels projected from the Open Box
In combination, these components provide a unified view of early session activity, including breakout attempts, fakeouts, VWAP reactions, and liquidity targeting. The Open Box offers a structured lens for observing how price transitions through the major sessions (Asia → London → New York) and how these behaviours relate to higher-timeframe bias defined in the broader TrendPredator framework.
Core Features
Open Box (Session Structure)
The indicator defines an initial session range beginning at the selected session open. This “Open Box” represents a fixed time window—commonly the first 30 minutes, or any user-defined duration—that serves as a structural reference for analysing early session behaviour.
The range highlights whether price remains inside the box, breaks out, or rejects the boundaries, providing a consistent foundation for interpreting early directional tendencies and recognising breakout, continuation, or fakeout characteristics.
How it works:
* At the session open, the indicator calculates the high and low over the specified time window.
* This range is plotted as the initial structure of the session.
* Price behaviour at the boundaries can illustrate emerging bias or potential trap formation.
* An optional secondary range (e.g., 15-minute high/low) can be enabled to capture early volatility with additional precision.
Inputs / Options:
* Session specifications (Tokyo, London, New York)
* Open Box start and end times (e.g., equity open + first 30 minutes, or any custom length)
* Open Box colour and label settings
* Formatting options for Open Box high and low lines
* Optional secondary range per session (e.g., 15-minute high/low)
* Forward extension of Open Box high/low lines
* Number of historic Open Boxes to display
Session VWAPs
The indicator plots VWAPs for each major trading session—Asia, London, and New York—anchored to their respective session opens. These session-specific VWAPs assist in tracking how value develops through the day and how price interacts with session-based volume distributions.
How it works:
* At each session open, a VWAP is anchored to the open price.
* The VWAP updates throughout the session as new volume and price data arrive.
* Deviations above or below the VWAP may indicate balance, imbalance, or directional control.
* Viewed together, session VWAPs help identify transitions in value across sessions.
Inputs / Options:
* Enable or disable VWAP per session
* Adjustable anchor and end times (optionally to end of day)
* Line styling and label settings
* Number of historic VWAPs to draw
First Hour High/Low Extensions
The indicator marks the high and low formed during the first hour of each session. These reference points often function as early control levels and provide context for assessing whether the session is establishing bias, consolidating, or exhibiting reversal behaviour.
How it works:
* After the session starts, the indicator records the highest and lowest prices during the first hour.
* These levels are plotted and extended across the session.
* They provide a visual reference for observing reactions, targets, or rejection zones.
Inputs / Options:
* Enable or disable for each session
* Line style, colour, and label visibility
* Number of historic sessions displayed
EQO Levels (Equity Open)
The indicator plots the opening price of each configured session. These “Equity Open” levels represent short-term reference points that can attract price early in the session.
Once the level is revisited after the Open Box has formed, it is automatically cut to avoid clutter. If not revisited, the line remains as an untested reference, similar to a naked point of control.
How it works:
* At session open, the open price is recorded.
* The level is plotted as a local reference.
* If price interacts with the level after the Open Box completes, the line is cut.
* Untested EQOs extend forward until interacted with.
Inputs / Options:
* Enable/disable per session
* Line style and label settings
* Optional extension into the next day
* Option for cutting vs. hiding on revisit
* Number of historic sessions displayed
OB Range Expansions (Automatic)
Range expansions are calculated from the height of the Open Box. These levels provide structured reference zones for identifying potential continuation or exhaustion areas within a session.
How it works:
* After the Open Box is formed, multiples of the range (e.g., 1×, 2×, 3×) are projected.
* These expansion levels are plotted above and below the range.
* Price reactions near these areas can illustrate continuation, hesitation, or potential reversal.
Inputs / Options:
* Enable or disable per session
* Select number of multiples
* Line style, colour, and label settings
* Extension length into the session
Stacey Burke 12-Candle Window Marker
The indicator can highlight the 12-candle window often referenced in Stacey Burke’s session methodology. This window represents the key active period of each session where breakout attempts, volatility shifts, and reversal signatures often occur.
How it works:
* A configurable window (default 12 candles) is highlighted from each session open.
* This window acts as a guide for observing active session behaviour.
* It remains visible throughout the session for structural context.
Inputs / Options:
* Enable/disable per session
* Configurable window duration (default: 3 hours)
* Colour and transparency controls
Concept and Integration
The Open Box is built around the same multi-timeframe logic that underpins the broader TrendPredator framework.
While higher-timeframe tools track bias and setups across the H8–D–W–M levels, the Open Box focuses on the H1–M30 domain to define session structure and observe how early intraday behaviour aligns with higher-timeframe conditions.
The indicator integrates with the TrendPredator FO (Breakout, Fakeout & Trend Switch Detector), which highlights microstructure signals on lower timeframes (M15/M5). Together they form a layered workflow:
* Higher timeframes: context, bias, and developing setups
* TrendPredator OB: intraday and intra-session structure
* TrendPredator FO: microstructure confirmation (e.g., FOL/FOH, switches)
This alignment provides a structured way to observe how daily directional context interacts with intraday behaviour.
See the public open source indicator TP FO here (click on it for access):
Practical Application
Before Session Open
* Review previous session Open Box, Open level, and VWAPs
* Assess how higher-timeframe bias aligns with potential intraday continuation or reversal
* Note untested EQO levels or VWAPs that may function as liquidity attractors
During Session Open
* Observe behaviour around the first-hour high/low and higher-timeframe reference levels
* Monitor how the M15 and 30-minute ranges close
* Track reactions relative to the session open level and the session VWAP
After the Open Box completes
* Assess price interaction with Open Box boundaries and first-hour levels
* Use microstructure signals (e.g., FOH/FOL, switches) for potential confirmation
* Refer to expansion levels as reference zones for management or target setting
After Session
* Review how price behaved relative to the Open Box, EQO levels, VWAPs, and expansion zones
* Analyse breakout attempts, fakeouts, and whether intraday structure aligned with the broader daily move
Example Workflow and Trade
1. Higher-timeframe analysis signals a Daily Fakeout Low Continuation (bullish context).
2. The New York session forms an Open Box; price breaks above and holds above the first-hour high.
3. A Fakeout Low + Switch Bar appears on M5 (via FO), after retesting the session VWAP triggering the entry.
4. 1x expansion level serves as reference targets for take profit.
Relation to the TrendPredator Ecosystem
The Open Box is part of the TrendPredator Indicator Family, designed to apply multi-timeframe logic consistently across:
* higher-timeframe context and setups
* intraday and session structure (OB)
* microstructure confirmation (FO)
Together, these modules offer a unified structure for analysing how daily and intraday cycles interact.
Disclaimer
This indicator is for educational purposes only and does not guarantee profits.
It does not provide buy or sell signals but highlights structural and behavioural areas for analysis.
Users are solely responsible for their trading decisions and outcomes.
FVG [Stansbooth]Fair Value Gap (FVG) Indicator
Spot Institutional Imbalances. Trade the Rebalance.
Fair Value Gaps reveal where price moved so aggressively that it left behind untraded zones—areas where smart money is likely to return.
What It Detects
Bullish FVG : Gap between Candle 1's high and Candle 3's low — expect price to retrace here for longs
Bearish FVG : Gap between Candle 1's low and Candle 3's high — watch for shorts on the pullback
Why Traders Love It
Markets hate inefficiency. When price rockets through a zone without proper auction, it creates a magnet for future price action. This indicator automatically identifies these imbalances so you can anticipate high-probability reversal and continuation zones.
Features
Auto-detection of bullish and bearish FVGs
Customizable gap visualization
Works on all timeframes and instruments
Clean, non-repainting logic
Best Used With
Order blocks, liquidity sweeps, and market structure breaks for confluence-based entries aligned with ICT and smart money concepts.
Trade where institutions trade. Let price come to you.
[iQ]PRO Market Sessions+🌐 PRO Market Sessions+: The Architecture of Market Time
Elevate your market analysis with the PRO v1 Time Cycles indicator—a sophisticated, proprietary framework engineered to meticulously map and visualize critical, high-probability time segments across global trading sessions. This tool transcends conventional session highlighting by providing a multi-layered, time-boxed view of market behavior, offering unparalleled clarity on structural shifts and key price levels.
This tool is optimized for professional traders, providing an edge by focusing on the fractal nature of market timing.
⏳ Precision Time Segmentation
The core functionality revolves around the hyper-precise segmentation of the trading day, anchored to the New York (EST) timezone to capture institutional flow.
Global Overlap Coverage: Integrates key Asia and London sessions with the comprehensive New York trading day, allowing for the analysis of transitional volatility and overlap strategies.
Structured Cycles: Deploys a unique system of 270-minute cycles, nested with 90-minute and 30-minute subdivisions. This hierarchical structure reveals how market structure evolves from macro-sessions down to critical, granular pivots.
New York Focus: Features distinct AM and PM 270-minute cycles, further broken down into 90-minute tranches (AM1, AM2, AM3 / PM1, PM2, PM3) and fine-tuned with 30-minute and even 10-minute boxes for exceptional high-resolution analysis.
London Depth: The London session is captured as a 270-minute block, with its own nested 90/30-minute structures, providing a complete view of the European market's structural integrity before the US open.
✨ Dynamic Structural Analysis
Beyond mere visualization, the indicator computes and projects critical structural levels within each time box, acting as dynamic reference points for price action.
Dynamic Price Anchors: Each time-cycle box is calculated to reveal key price metrics, including the Open Price and the Equilibrium (EQ) Level (Mid-Range). These lines serve as potent technical levels, often representing institutional reference points for deviation and reversion.
High/Low Capture: The extreme High and Low of each significant time segment are captured and marked, forming the boundaries of the structural range and identifying potential areas of liquidity draw.
Persistent Levels: Projects Previous Day, Week, and Month High/Low levels. These crucial historical benchmarks act as magnets or barriers to current price movement, providing essential macro-context to intra-day analysis.
🎨 Customizable & Non-Intrusive
The PRO v1 Time Cycles is designed for seamless integration into any chart setup, offering extensive customization without cluttering the price action.
Control over Granularity: Users maintain complete control over which time cycles (270, 90, 30, 10-minute) are displayed, ensuring the chart reflects the specific trading strategy and timeframe required.
Aesthetic Flexibility: Features highly detailed options for color, border styles, text alignment, and line thickness for every major session and nested cycle, allowing for a fully personalized and professional workspace.
This tool is a fundamental component of the iQ PRO suite, providing the essential temporal context required to execute sophisticated, time-based trading strategies. Its robust architecture is built to empower the discerning trader with a clearer, more structured view of the market's inner workings.
QuantMotions - Smart Money BlocksSmart Money Blocks – Clean Edition is a minimalistic, high-precision Smart Money Concepts (SMC) tool designed for traders who want clean and reliable market structure signals without chart clutter.
This script detects and visualizes Order Blocks, Fair Value Gaps (FVGs), and Liquidity Levels using a strictly filtered, volume-based institutional logic.
Unlike many SMC indicators that overload the chart with noise, this version is built to stay fast, clean, and accurate — ideal for both scalpers and higher-timeframe traders.
🔍 Features
✔ Institutional Order Block Detection
• Identifies bullish and bearish order blocks
• Uses high-volume + price-displacement confirmation
• OBs extend forward and deactivate when broken
• Includes volume + tick range info-box
✔ Fair Value Gaps (FVG)
• Auto-detects bullish and bearish FVGs
• Marks imbalance zones until they are fully filled
• Clean, non-intrusive visualization
✔ Liquidity Levels
• Smart swing-high/swing-low liquidity detection
• Tracks touches to distinguish strong vs weak levels
• Marks support/resistance liquidity with labels only (no chart clutter)
⚙️ Clean & Minimal Design
This script is optimized for a clean workflow:
• No volume profile
• No BOS/CHOCH spam
• No unused SMC elements
• Only high-value SMC signals
• Clean color theme for dark charts
The goal is to provide only what matters, nothing more.
📈 Use Cases
• Smart Money / ICT style trading
• Scalping (1s – 1m)
• Intraday / London & New York session trading
• Swing trading
• Market structure analysis
• Liquidity and imbalance mapping
Whether you're identifying points of interest (POIs), building a bias, or mapping high-probability reaction zones — this tool helps you see structure clearly.
🔔 Alerts Included
• Order Block creation
• FVG creation
• Price touching an active Order Block
• Volume surge
• Institutional candle detection
• Structure break detection
Great for automation or bias confirmation.
🧠 Why This Script?
Many SMC indicators try to do everything — which often results in clutter, lag, and unreliable signals.
This edition focuses on precision, clarity, and real usability.
The logic is light, efficient, and suited for real-time execution on very fast charts.
📌 Note
This tool does not generate trade signals by itself.
It is designed as a market structure map for traders who already understand Smart Money principles such as:
• Displacement
• Imbalance
• Institutional candles
• OB mitigation
• Liquidity sweeps
Use it as part of your confluence system.
Trend Mastery:The Calzolaio Way🌕 Find the God Candle. Capture the gains. Create passive income.
Fellow F.I.R.E. Decibels, disciples of the Calzolaio Way—welcome to the sacred toolkit. This indicator, "SulLaLuna 💵 Trend Mastery:The Calzolaio Way🚀," is forged from the elite SulLaLuna stack, drawing wisdom from Market Wizards like Michael Marcus (who turned $30k into $80M through disciplined trend riding) and Oliver Velez's pristine strategies for profiting on every trade. It's not just lines on a chart—it's your architectural blueprint for financial sovereignty, where data meets divine timing to build the cathedral of Project Calzolaio.
We trade math, not emotion. We honor timeframes. Confluence is King. This indicator deploys the Zero-Lag SMA (ZLSMA), Hull-based M2 (global money supply as a macro trend oracle), ATR-smart stops, and multi-TF alignments to ritualize God Candle setups. Backtested across asset classes, it's modular for your playbooks—small risks, compounding gains, passive income streams.
Why This Indicator is Awesome: The Divine Confluence Engine
In the spirit of "Use Only the Best," this tool synthesizes proven SulLaLuna indicators like ZLSMA, Adaptive Trend Finder, and Momentum HUD with Velez's lessons on trend reversals, support/resistance, and psychology of fear. Here's why it reigns supreme:
1. Global M2 Hull: Macro Trend Oracle
Scaled M2 (summed from major economies like US, EU, JP) via Hull MA captures the "big picture" (Velez Ch. 2). It flips colors as S/R—green for support (bullish bounce zones), red for resistance (bearish ceilings), orange neutral. Like Marcus spotting commodity booms, it signals when liquidity sweeps ignite God Candles. Extend it for future price projections, honoring "How a Trend Ends" (Velez Ch. 5).
2. ZLSMA + ATR Smart Stops: Surgical Precision
Zero-Lag SMA (faster than standard MAs) crosses M2 for entries, with ATR bands for initial stops (2x mult) and trails (1x mult). This embodies "Trade Small. Lose Smaller."—risk ≤1-2% per trade, pre-planned exits. Flip markers (↑/↓) alert divine timing, filtering noise like Velez's "First Pullback" setups.
3. HTF & Multi-TF Dashboard: Timeframe Alignments are Sacred
Show HTF M2 (e.g., Daily) with custom styles/colors. Multi-TF lines (4H, D, W, M) dash across your chart, labeled right-edge with 🚀 (bull) or 🛸 (bear). A confluence table (top-right) scores alignments: Strong Bull (≥3 green), Strong Bear, or Mixed. This is "Confluence is King"—no single signal rules; seek 4+ star scores like Rogers buying value in hysteria.
4. Background & Ribbon: Visual Divine Guidance
Slope-based bgcolor (green bull, red bear) for at-a-glance bias. M2 Ribbon (EMA cloud) flips triangles for macro shifts, ritualizing climactic reversals (Velez Ch. 7).
5. Composite Probability: High-Prob God Candle Hunter
Scores (0-100%) blend 8 factors: price/ZLSMA vs M2, TF slopes, ribbon. Threshold (70%) + pivot zone (near M2/ATR) + optional cross filters for HP signals. Labels show "%" dynamically—alerts fire when confluence ≥4, echoing Schwartz's champion edge: "Everybody Gets What They Want" (Seykota wisdom).
6. Alerts & Rituals Built-In
M2 flips, entries/exits, HP longs/shorts—log them in your journal. Weekly reviews dissect anomalies, as per our Operational Framework.
This isn't hype—it's audited excellence. Backtest it: High confluence crushes drawdowns, compounding like Bielfeldt's T-bond mastery from Peoria. We build together; share wins in the F.I.R.E. Decibel forum.
Suggested Strategy: The SulLaLuna M2 Confluence Playbook
Honor the Risk Triad: Position ↓ if leverage/timeframe ↑; scale ↑ only on ≥4 confluence. Align with "God Candle" hunts—rare explosives reverse-engineered for passive streams.
1. Pre-Trade Checklist (Before Every Entry)
- Trend Alignment: D/4H/1H M2 slopes agree? Table shows Strong Bull/Bear?
- Signal on 15m: ZLSMA crosses M2 in confluence zone (near pivot/ATR bands).
- Volume + Divergence**: Supported by volume (use HUD if added); score ≥70%.
- SL/TP Setup: ATR-based stop; TP at structure/2-3R reward (Velez Reward:Risk).
- HTF Agrees: Monthly bull for longs; avoid counter-trend unless climactic (Ch. 7).
Confluence Score: Rate 1-5 stars. <3? Stand aside. Log emotional state—no adrenaline.
2. Execution Protocol
- Entry: On HP Long/Short triangle (e.g., ZLSMA > M2, score 80%+, monthly bull). Use limits; favor longs above M2 support.
- Position Size: ≤1-2% risk. Example: $10k account, 1% risk = $100 SL distance → size accordingly.
- Trail Stops: Move to trail band after 1R profit; let winners run like Kovner's world trades.
- Asset Classes**: Forex/stocks/crypto—test M2's macro edge on EURUSD or NASDAQ (Velez Ch. 6 reviews).
Ritualize: "When we find the God Candele, we don’t just ride it—we ritualize it." Screenshot + reason.
3. Post-Trade Ritual
- Document: Result, confluence score, lessons. Update journal.
- Exits: Hit stop/exit cross? Or trail locks gains.
- Weekly Audit: Wins/losses, anomalies. Adjust params (e.g., M2 length 55 default).
4. Risk Triad in Action
- Low TF (15m)? Smaller size.
- High Leverage? Tiny positions.
- Confluence ≥4 + HTF support? Scale hold for passive compounding.
Example Setup: God Candle Long
- Chart: 15m EURUSD.
- M2 Hull green (support), ZLSMA crossover, 4H/D/W bull (table: Strong Bull).
- HP Long (85% score) near pivot.
- Entry: Limit at cross; SL below ATR lower; TP at next resistance.
- Outcome: Capture 2R gain; trail for more if trend day (Velez Ch. 5).
Community > Ego: Test, share signals in Discord. Backtest in Pine Script for algo evolution.
We are architects of redemption. Each trade bricks the cathedral. Trade the micro, flow with the macro. When alignments converge, we act—with discipline, data, and divine purpose.
ICT FVG & Order Flow (IRL to ERL)Overview
Master liquidity with precision. This indicator brings the iCT trading concept to life by automatically detecting liquidity pools, fair value gaps, and key swing points. It shows you exactly where price is likely to move next — from Internal Range Liquidity (IRL) to External Range Liquidity (ERL). With built-in alerts and multi-timeframe validation, it helps you stay one step ahead of the market.
Concept
Markets move where liquidity is. According to iCT theory, price usually sweeps internal liquidity (IRL) first and then hunts for external liquidity (ERL). By mapping this process in real time, the indicator provides a clear framework for understanding market structure, liquidity grabs, and directional bias.
How it works
Detects the High-Probability Leg (HPL) — the leg containing a fair value gap (FVG)
Highlights unmitigated FVGs within the current context.
Marks swing points (SPs), IRL levels, and ERL targets automatically.
Identifies IRL rejections when liquidity is taken inside the leg.
Identifies if a FVG is Respected or Disrespected by 2 Candle Rejection (2CR)
Notifies you of every critical liquidity event:
New context leg
New FVG
IRL rejection
ERL or SP liquidity sweep
FVG is Respected or Disrespected by 2CR
Key Features
Automatic drawing of IRL, ERL, and SP levels
FVG types: Simple FVG or Breakaway Gap (BAG)
Multi-timeframe sweep check – if a single candle takes both IRL and ERL, the indicator zooms into a lower timeframe to confirm which liquidity was swept first
Fully customizable alerts for all liquidity events
Flexible settings for swing points, lookback depth, colors, and style
How to use
Start from the monthly chart to define the macro trend.
Analyze the latest order flow leg:
Bullish FVG = bullish context
Bearish FVG = bearish context
Step down to the daily timeframe and repeat the analysis.
Wait for price to approach or reject from IRL (the indicator highlights it automatically).
Drop to a lower timeframe for entries — use timeframe alignment to select the right LTF.
Enter with the FVG model, targeting liquidity within the leg.
Place take profit inside the context — e.g., never above ERL in a bullish setup.
🔔 Alerts
New Context
New FVG
IRL Rejection
ERL Sweep
SP Sweep
2CR
⚙️ Customization
Context side (auto/manual)
LTF pointer (auto/manual)
Show/hide Resistance FVG, Overlapping Defense, ERL/SP sweeps, 2CR
Look back bars, swing lines, swing length, line offsets
* Full color customization (FVG, bullish/bearish, labels, boxes)
QuantMotions - FVG with Volume TrackingFair Value Gap Detector with Dynamic Shrinking & Volume Analysis
Overview
Advanced Fair Value Gap (FVG) detection indicator with real-time box shrinking and volume delta analysis. Automatically identifies price inefficiencies and tracks institutional volume flow within each gap.
What are Fair Value Gaps?
Fair Value Gaps occur when price moves so rapidly that a "gap" is left between three consecutive candles, creating an inefficiency where no trading occurred. These gaps often act as support/resistance zones that price tends to revisit.
Detection:
- Bullish FVG: When low > high (upward price inefficiency)
- Bearish FVG: When high < low (downward price inefficiency)
Key Features
Dynamic Box Shrinking
FVG boxes automatically shrink as price enters them:
- Bullish FVGs shrink from top as price moves down into the gap
- Bearish FVGs shrink from bottom as price moves up into the gap
- Provides precise visualization of remaining unfilled gap area
Volume Delta Analysis
Tracks volume characteristics for the 3-candle FVG formation:
- Total Volume: Sum of volume from all three FVG candles
- Up/Down Split: Separates buying vs selling pressure
- Delta %: Shows directional bias of volume flow
- Color Coding: Green/Red when volume confirms direction, Orange when it doesn't
Smart Filtering
- ATR-based minimum gap size - Filters out insignificant noise gaps
- Auto-cleanup - Removes fully filled FVGs automatically
- Maximum display limit - Keeps charts clean by limiting visible FVGs
Live Statistics
Real-time stats table showing:
- Active bullish/bearish FVG count
- Average volume delta for each direction
- Fill progress tracking
Settings
Min Gap Size (ATR): Minimum gap size as multiple of ATR(14). Default: 0.3
- Lower values (0.1-0.3): More sensitive, shows smaller gaps
- Higher values (0.5-1.0): More selective, only significant gaps
Max FVGs: Maximum number of FVG boxes to display (5-100)
Remove Fully Filled: Automatically remove FVGs when price completely fills them
Shrink on Partial Fill: Enable dynamic box shrinking as price enters gaps
Show Volume Info: Display volume delta labels at box edges
How to Use
1. Confluence Trading: Look for FVGs that align with your support/resistance levels
2. Volume Confirmation: Check volume delta - strong directional volume increases probability
3. Partial Fills: Watch for price reactions at shrinking FVG boundaries
4. Multiple Timeframes: Use on higher timeframes (4H+) for swing trading, lower timeframes for scalping
Best Practices
- Combine with trend analysis - FVGs in trend direction have higher fill rates
- Pay attention to volume delta - gaps with confirming volume are more reliable
- Use on liquid markets for accurate volume data
- Higher timeframe FVGs typically carry more significance
Notes
- Works on all timeframes and instruments
- Volume data accuracy depends on your data provider
- FVGs are not guaranteed support/resistance - use proper risk management
- This indicator shows historical inefficiencies, not future predictions
Disclaimer: This indicator is for educational purposes only. Past performance does not guarantee future results. Always use proper risk management.
The 'Qualified' POI Scorer [PhenLabs]📊 The “Qualified” POI Scorer (Q-POI)
Version: PineScript™ v6
📌 Description
The “Qualified” POI Scorer helps intermediate traders overcome "analysis paralysis" by filtering Smart Money Concepts (SMC) structures based on their probability. Instead of flooding your chart with every possible Order Block, this script assigns a proprietary “Quality Score” (0-100) to each zone. It analyzes the strength of the displacement, the presence of imbalances (FVG), and liquidity mechanics to determine which zones are worth your attention. It is designed to clean up your charts and enforce discipline by visually fading out low-quality setups.
🚀 Points of Innovation
Dynamic “Glass UI” Transparency that automatically fades weak zones based on their score.
Proprietary Scoring Algorithm (0-100) based on three distinct institutional factors.
Visual Icon System that prints analytical context (💧— 🚀/🐌—🧱) directly on the chart.
Automated Mitigation Tracking that changes the visual state of zones after they are tested.
Displacement Velocity calculation using ATR to verify institutional intent.
🔧 Core Components
Liquidity Sweep Engine: Detects if a pivot point grabbed liquidity from the previous X bars before reversing.
FVG Validator: Checks if the move away from the zone created a valid Fair Value Gap.
Momentum Scorer: Calculates the size of the displacement candle relative to the Average True Range (ATR).
🔥 Key Features
Quality Filtering: Automatically hides or dims zones that score below 50 (user configurable).
State Management: Zones turn grey when mitigated and delete themselves when invalidated.
Visual Scorecard: Displays the exact numeric score on the zone for quick decision-making.
Time-Decay Logic: Keeps the chart clean by managing the lifespan of old zones.
🎨 Visualization
High Score Zones (80-100): Display as bright, semi-solid boxes indicating high probability.
Medium Score Zones (50-79): Display as translucent “glass” boxes.
Low Score Zones (<50): Display as faint “ghost” boxes or are completely hidden.
Rocket Icon (🚀): Indicates high momentum displacement.
Snail Icon (🐌): Indicates low momentum displacement.
Drop Icon (💧): Indicates the zone swept liquidity.
Brick Icon (🧱): Indicates the zone is supported by an FVG.
📖 Usage Guidelines
Swing Structure Length (Default: 5): Controls the sensitivity of the pivot detection; lower numbers create more zones, higher numbers find major swing points.
ATR Length (Default: 14): Determines the lookback period for calculating relative momentum.
Minimum Quality Score (Default: 50): The threshold for which zones are considered “valid” enough to be fully visible.
Bullish/Bearish Colors: Fully customizable colors that adapt their own transparency based on the score.
Show Weak Zones (Default: False): Toggles the visibility of zones that failed the quality check.
✅ Best Use Cases
Filtering noise during high-volatility sessions by focusing only on Score 80+ zones.
Confirming trend continuation entries by looking for the Rocket (🚀) momentum icon.
Avoiding “stale” zones by ignoring any box that has turned grey (Mitigated).
⚠️ Limitations
The indicator is reactive to closed candles and cannot predict news-driven spikes.
Scoring is based on technical structure and does not account for fundamental drivers.
In extremely choppy markets, the ATR filter may produce lower scores due to lack of displacement.
💡 What Makes This Unique
It transforms subjective SMC analysis into an objective, quantifiable score.
The visual hierarchy allows traders to assess chart quality in milliseconds without reading data.
It integrates three separate SMC concepts (Liquidity, Imbalance, Structure) into a single tool.
🔬 How It Works
Step 1: The script identifies a Swing High or Low based on your length input.
Step 2: It looks backward to see if that swing swept liquidity, and looks forward to check for an FVG and displacement.
Step 3: It calculates a weighted score (30pts for Sweep, 30pts for FVG, 40pts for Momentum).
Step 4: It draws the zone with a transparency level designated by the score and appends the relevant icons.
💡 Note:
For the best results, use this indicator on the timeframe you execute trades on (e.g., 15m or 1h). Do not use it to find entries on the 1m chart if your analysis is based on the 4h chart.
