Market Structure BOS - Session Based (5m, NY Time) This indicator visualizes market structure using a strict, rule-based
Break of Structure (BOS) logic, calculated on the 5-minute timeframe
and evaluated in New York time.
The script detects swing Highs and Lows based on candle direction
(bullish → bearish for Highs, bearish → bullish for Lows). From each
validated structure point, a horizontal level is drawn at the true
price extreme (wick included). Once created, structure levels never
repaint or move.
A Break of Structure is confirmed only when a candle CLOSES beyond
the most recent valid structure level:
- Bullish BOS: close above the latest High
- Bearish BOS: close below the latest Low
The indicator is trend-aware: once a bullish or bearish BOS is confirmed,
only BOS signals in the same direction are shown until the trend changes.
This prevents duplicate or redundant structure breaks during trends.
Session logic is fully integrated and based on New York time:
- Asia
- London (with pre-open range)
- New York (with pre-open range)
Structure levels and BOS logic can optionally reset at the end of each
New York trading day, keeping the chart clean and session-relevant.
The indicator is designed for traders who focus on intraday price action,
market structure, and session-based behavior without visual clutter.
No labels, alerts, or signals are plotted — only clean structure levels.
Marketstructure
Broadening Formation + Failed 2 CandlesThis indicator is a technical analysis tool designed to identify potential trend reversals at the boundaries of Broadening Formations (BF). It combines structural pivot analysis with the "Failed 2" candle pattern (a variation of an outside-bar or stop-run reversal) to highlight zones of technical alignment.
How it Works
1. Structural Detection (Broadening Formations)
The script identifies market structure using pivot-based logic:
* Auto Mode: Dynamically identifies Pivot Highs and Pivot Lows to plot the upper and lower boundaries of a broadening range.
* Manual Mode: Allows users to input specific price levels for fixed horizontal support and resistance.
2. The "Failed 2" Reversal Pattern
The script looks for specific price action exhaustion at the boundaries:
* Failed 2 Down (Long): Occurs when a candle creates a New Low (taking out the previous candle's low) but reverses to close higher than its open (Bullish).
* Failed 2 Up (Short): Occurs when a candle creates a New High (taking out the previous candle's high) but reverses to close lower than its open (Bearish).
3. Proximity Filtering
The Proximity Engine acts as a filter. A label will appear and will only be valid if the price is within a user-defined threshold of the BF lines. Users can define this "strike zone" via:
* Percent / Points / Ticks: Static distance from the level.
* ATR Multiple: Volatility-adjusted distance, ensuring the zone expands or contracts based on current market conditions.
Key Features
* On-chart Visualization of Stop and Target Reference Levels: On-chart plotting of Stop Loss and Profit Targets (Target modes include Opposing BF Line, 50% Range, or Fixed Amount).
* Real-Time Statistics: An on-screen dashboard tracks Win Rate, Hit/Fail counts, and Risk-to-Reward ratios for the last N bars. Statistics reflect historical signal outcomes only and do not predict future performance.
* Visual Customization: Fully adjustable markers, line styles, and table positioning to fit any chart layout.
* Alerts: Integrated alert functionality for Long and Short triggers.
Usage Note
This tool is intended to help identify structural exhaustion. Like all technical indicators, it is most effective when used in conjunction with other forms of analysis (such as volume or higher-timeframe trend context). It does not constitute financial advice.
Educational Trend Direction (Up & Down)🔍 Overview
This indicator is designed to visually represent trend direction and trend transitions using a simple moving-average relationship. It is built strictly for educational and analytical purposes, allowing users to observe how price behaves during upward and downward market phases without relying on trading signals or predictions.
The indicator focuses on trend context, not trade execution.
⚙️ How the Indicator Works
The script calculates two exponential moving averages:
A fast trend line that reacts quickly to recent price changes
A slow trend line that represents broader market direction
Trend direction is determined by the relative position of these two lines.
When the fast line moves above the slow line, the market is considered to be in an upward trend phase
When the fast line moves below the slow line, the market is considered to be in a downward trend phase
This relationship helps visualize trend shifts and momentum changes in a simple and intuitive way.
🎨 Visual Components Explained
🟢 Green Trend Line
Represents the fast moving average during upward trend phases
Indicates that price is maintaining strength relative to the broader trend
Color reflects trend direction only, not confirmation or entry
🔴 Red Trend Line
Represents the fast moving average during downward trend phases
Indicates sustained weakness relative to the broader trend
Color does not imply selling or future continuation
⚪ Grey Trend Line
Represents the slow moving average
Acts as a baseline trend reference
Helps distinguish between short-term fluctuations and broader direction
🎨 Background Shading
Light green shading appears during upward trend environments
Light red shading appears during downward trend environments
Background color provides context only and does not signal market actions
🎯 Purpose & Benefits
Helps identify trend phases in a clear and minimal way
Improves understanding of trend transitions and momentum shifts
Reduces visual noise compared to raw price data
Encourages context-based analysis instead of signal dependency
Suitable for all markets and timeframes
⚠️ Important Notes
This indicator does not generate buy or sell signals
No targets, stop levels, or performance metrics are included
Trend conditions are descriptive, not predictive
Past behavior does not guarantee future outcomes
Users should always apply their own analysis and risk management when interpreting market data.
📚 Intended Use
This tool is intended for:
Market trend study
Educational demonstrations
Visual analysis of trend direction
Long-term chart structure awareness
It is not intended for automated trading or decision-making.
ColorFlow EMA📊 ColorFlow EMA — Trend Flow & Bias Indicator
🔹 What This Indicator Does
ColorFlow EMA is a clean, visual trend-flow indicator designed to show directional bias and momentum state at a glance.
It uses two exponential moving averages:
Fast EMA (default: 10)
Slow EMA (default: 20)
The area between the EMAs is color-shaded to clearly display whether price is in a bullish or bearish flow.
🎨 Visual Logic
🔵 Blue shading → Bullish flow
(Fast EMA above Slow EMA)
🔴 Red shading → Bearish flow
(Fast EMA below Slow EMA)
Optional crossover markers can be enabled for visual confirmation when EMA alignment changes.
🧠 How to Use ColorFlow EMA
This indicator is not a standalone strategy and is not intended for signal-chasing.
It is best used as a context and bias filter alongside:
Price action
Market structure (HH/HL, LH/LL)
Support & resistance or supply & demand zones
Pullbacks vs premium/discount
Typical use cases:
Favor longs when the flow is blue
Favor shorts when the flow is red
Avoid forcing trades when EMAs are tangled or flat
Wait for pullbacks into structure instead of chasing price
⚠️ Important Notes
EMA crossovers alone do not guarantee profitable trades
Market conditions, structure, and location always matter
Works best in trending or transitioning markets
Not designed for ranging/choppy environments without context
⚙️ Customization
EMA lengths can be adjusted
Crossover markers can be toggled on/off
Designed to stay visually clean and uncluttered
🎯 Who This Indicator Is For
Traders who prioritize price action over indicators
Intraday traders (forex, indices, ETFs, stocks)
Traders who want clarity, not noise
📝 Final Thought
ColorFlow EMA answers one simple question:
“Should I be looking for longs or shorts here?”
Use it for bias, not prediction.
ColorFlow EMA📊 ColorFlow EMA — Trend Flow & Bias Indicator
🔹 What This Indicator Does
ColorFlow EMA is a clean, visual trend-flow indicator designed to show directional bias and momentum state at a glance.
It uses two exponential moving averages:
Fast EMA (default: 10)
Slow EMA (default: 20)
The area between the EMAs is color-shaded to clearly display whether price is in a bullish or bearish flow.
🎨 Visual Logic
🔵 Blue shading → Bullish flow
(Fast EMA above Slow EMA)
🔴 Red shading → Bearish flow
(Fast EMA below Slow EMA)
Optional crossover markers can be enabled for visual confirmation when EMA alignment changes.
🧠 How to Use ColorFlow EMA
This indicator is not a standalone strategy and is not intended for signal-chasing.
It is best used as a context and bias filter alongside:
Price action
Market structure (HH/HL, LH/LL)
Support & resistance or supply & demand zones
Pullbacks vs premium/discount
Typical use cases:
Favor longs when the flow is blue
Favor shorts when the flow is red
Avoid forcing trades when EMAs are tangled or flat
Wait for pullbacks into structure instead of chasing price
⚠️ Important Notes
EMA crossovers alone do not guarantee profitable trades
Market conditions, structure, and location always matter
Works best in trending or transitioning markets
Not designed for ranging/choppy environments without context
⚙️ Customization
EMA lengths can be adjusted
Crossover markers can be toggled on/off
Designed to stay visually clean and uncluttered
🎯 Who This Indicator Is For
Traders who prioritize price action over indicators
Intraday traders (forex, indices, ETFs, stocks)
Traders who want clarity, not noise
📝 Final Thought
ColorFlow EMA answers one simple question:
“Should I be looking for longs or shorts here?”
Use it for bias, not prediction.
Blockcircle FTR - Follow Through ReversalWHAT THIS INDICATOR DOES
Blockcircle FTR identifies failed directional moves followed by quality reversals. The indicator tracks structural pivot levels, monitors price interactions with those levels, and validates reversal sequences against a configurable threshold.
A trend filter provides macro context so you can evaluate whether signals align with or oppose the broader direction.
KEY FEATURES
Reversal quality filtering via delivery threshold requirement
Sweep confirmation when reversals follow liquidity grabs at structural levels
ATR-adaptive origin zones marking reversal starting points
Trend alignment indicator comparing signal bias to moving average direction
Volume validation filter for participation confirmation
Real-time dashboard with signal statistics and alignment status
DETAILED BREAKDOWN
Structural Level Tracking
The indicator identifies pivot highs and lows based on the Structure Lookback parameter. These pivots serve as reference levels where liquidity typically accumulates. Levels remain active until price interacts with them or they exceed the Level Lifespan setting.
When the price reaches a structural level, this interaction is logged. If a reversal then forms in the opposite direction within the Sweep Window, the signal qualifies as sweep-confirmed, indicating that stops were likely triggered before the move reversed.
FTR Detection Logic
The core detection looks for a specific sequence: a directional attempt that fails to follow through, followed by a counter-move that meets the Delivery Threshold ratio. This ratio measures the quality of the reversal relative to the failed move's structure.
Higher threshold values (closer to 1.0) require cleaner, more convincing reversals. Lower values (closer to 0.1) allow weaker setups through. The default of 0.7 provides reasonable filtering without being overly restrictive.
Trend Context Filter
A moving average (EMA or SMA, configurable period) provides simple trend context. The dashboard displays three related metrics:
Trend: Current price position relative to the MA (Bullish/Bearish)
FTR Bias: Direction of the most recent confirmed signal (Long/Short)
Aligned: Whether these two readings match (Yes/No)
This helps identify situations where the FTR bias has become stale or is positioned against the prevailing trend.
Signal Classification
Standard signals appear as small triangles and represent FTR patterns that passed the delivery threshold and any active filters.
Sweep-confirmed signals appear with an "S" label and represent the subset of signals where price swept a structural level shortly before the reversal formed. These carry higher conviction due to the additional liquidity context.
Dashboard Metrics
The information panel provides:
Current trend direction and FTR bias
Alignment status between the two
Bars elapsed since the last signal
Running totals for long and short signals
Sweep-confirmed counts in parentheses
Volume filter status
Configuration Parameters
Structure Lookback: Bars used for pivot detection. Higher values capture more significant swings.
Delivery Threshold: Minimum ratio for valid reversals. Range 0.1 to 1.0.
Level Lifespan: The maximum bars a structural level remains active.
Sweep Window: Lookback period for sweep confirmation.
Trend MA Period: Moving average length for trend context.
Volume Spike Multiple: Required volume ratio when volume filter is active.
Zone Depth: Origin zone width as ATR multiple.
Practical Application
Sweep-confirmed signals with trend alignment represent the highest-conviction setups. These combine a quality reversal pattern, liquidity sweep context, and trend support.
Standard signals without sweep confirmation remain valid FTR patterns but warrant additional discretion.
Counter-trend signals (Aligned showing NO) can still produce valid moves, but historically carry lower probability. Consider position sizing adjustments accordingly.
Origin zones serve as potential support/resistance areas for subsequent price returns.
Important Limitations
The indicator may remain biased in the wrong direction during extended trends if no qualifying reversal pattern forms. The trend filter helps identify these situations, but does not automatically override the FTR bias.
Signal counts are calculated on visible chart history and will vary based on the loaded timeframe and bar count.
As with any technical tool, signals should be evaluated within the broader market context rather than traded mechanically.
Hope you find it useful! If you have any questions, please don't hesitate to ask them!
TLADe GEX Dashboard - ES/SPX/SPY Gamma Exposure LevelsA professional framework for Gamma Exposure analysis on S&P 500 instruments.
━━━━━━━━━━━━━━━━━━━━━━━━━━━━
WHAT THIS INDICATOR DOES
This indicator visualizes key strategic levels derived from Gamma Exposure (GEX) analysis — the zones where dealer hedging flows create measurable support and resistance.
What you see:
- Call Walls — resistance zones where dealers hedge against upside
- Put Walls — support zones where dealers hedge against downside
- Zero Gamma — the structural pivot between mean-reversion and trend
- Expected Move bands — statistical range boundaries
- GEX Histogram — gamma distribution profile directly on chart
━━━━━━━━━━━━━━━━━━━━━━━━━━━━
KEY FEATURES
▸ Ticker Switcher
Select ES, SPX, or SPY directly in settings.
Data converts automatically. One script, three instruments.
▸ GEX Profile Histogram
See gamma distribution as horizontal bars on your chart.
Instantly spot where positioning clusters.
▸ Color Themes
Choose between Boreal, Classic, or Lady Trader palettes.
▸ Level Toggles
Show/hide level groups independently:
GEX Levels | System Levels | Structure Levels
▸ Rich Tooltips
Hover for details: GEX values, Call/Put ratio, Hold/Break probabilities.
▸ Flip Detection
When price crosses a level, it automatically updates role and style (solid → dashed).
━━━━━━━━━━━━━━━━━━━━━━━━━━━━
HOW TO READ THE LEVELS
Each line represents a zone where price reaction is statistically probable:
- Thick solid lines = level not yet crossed
- Dashed lines = level flipped (price crossed through)
- Cyan/Teal or Green = potential support (Put Walls)
- Pink/Red = potential resistance (Call Walls)
- Gray = structural levels (Zero Gamma, Vol Bands, PDH/PDL)
The indicator shows structure, not predictions.
Use it to identify where the market is likely to react — not which direction it will go.
━━━━━━━━━━━━━━━━━━━━━━━━━━━━
PRO TIP: CONFLUENCE
This tool is most powerful when combined with your own analysis.
Highest-probability setups occur when GEX levels align with:
Price action zones (support/resistance, order blocks)
Volume Profile (HVN/LVN, VWAP)
Technical structure (prior highs/lows, trend lines)
One level alone is information. Confluence is edge.
━━━━━━━━━━━━━━━━━━━━━━━━━━━━
ABOUT THE DATA
The levels shown use a static snapshot for demonstration.
For current session data, export fresh scripts from the TLADe terminal at tradelikeadealer.com
━━━━━━━━━━━━━━━━━━━━━━━━━━━━
DISCLAIMER
This tool is for informational and educational purposes only.
It does not constitute financial advice. Trading involves significant risk.
Past structure does not guarantee future behavior.
Simple Trend Context [Wall_Journey]Simple Trend Context MA: Dynamic Market Bias Visualizer
Overview The Simple Trend Context MA is a visual-oriented trading tool designed to identify the prevailing market trend at a glance. By utilizing two Simple Moving Averages (Fast and Slow), this script provides a clear "Context" for your trades, helping you avoid trading against the primary momentum.
How it Works The indicator calculates two key SMA periods:
Fast MA (Default: 20) : Captures short-term momentum.
Slow MA (Default: 50) : Represents the broader trend direction.
Key Features
Dynamic Background Shading: The chart background automatically changes color based on the trend. A Green background indicates a Bullish trend (Fast MA > Slow MA), while a Red background indicates a Bearish trend (Fast MA < Slow MA).
Real-time Trend Label: A dynamic label appears on the most recent bar, explicitly stating the current market context (Bullish, Bearish, or Neutral).
Highly Customizable: You can easily adjust the MA lengths to suit your specific strategy, whether you are scalping or swing trading.
Why use this? Many traders fail because they lose sight of the "Big Picture." This script ensures that the trend context is always visible, serving as a powerful filter for your entry signals.
ICT Algo: Sweep + MSS + High Prob FVG/IFVGThis script is a comprehensive execution tool based on Inner Circle Trader (ICT) concepts, specifically designed to identify high-probability entries by combining Liquidity Sweeps, Market Structure Shifts (MSS), and Fair Value Gaps (FVG/IFVG).
Unlike standard FVG indicators that highlight every gap on the chart, this "Algo" version filters for gaps that occur specifically after a liquidity purge and a shift in structure, ensuring you are only looking at setups with institutional backing.
How It Works
The script follows a strict 3-step validation process before plotting a signal:
Liquidity Sweep (The Context): The script tracks Higher Timeframe (HTF) levels including Previous Day High/Low, Weekly High/Low, and Monthly High/Low. A setup is only considered valid if price has recently "swept" one of these levels, indicating a hunt for liquidity.
Market Structure Shift (The Confirmation): Once a sweep occurs, the script looks for a displacement in the opposite direction. It identifies a "Pivot High/Low" (customizable length) and waits for a candle body to close beyond it (MSS).
Filtered Entry (The Trigger): * FVG: Plots a standard Fair Value Gap if it forms within a "Deep Value" zone (Discount for longs, Premium for shorts).
IFVG (Inversion FVG): Highlights failed FVGs that have been reclaimed by price to act as support or resistance.
Key Features
Multi-Timeframe Liquidity Filters: Automatically plots PDH/L, PWH/L, PMH/L, and PYH/L. You can toggle which levels act as your sweep triggers.
Deep Value Logic: The script uses built-in logic to ensure Bullish FVGs are only highlighted when price is below a key liquidity level (Discount), and Bearish FVGs when price is above (Premium).
Dynamic Box Management: To keep your chart clean, boxes for FVGs and IFVGs are automatically shortened ("cut") once they are mitigated by price.
Inversion Logic: Includes a specialized toggle for Inversion Fair Value Gaps, allowing you to trade "failed" gaps that flip their polarity.
Settings & Customization
Entry Setup Bias: Choose to see only Bullish, only Bearish, or Both setups.
MSS Pivot Length: Adjust how "sensitive" the Market Structure Shift detection is. A higher number requires a more significant swing to be broken.
Sweep Lookback: Defines how many bars back the script looks for a liquidity sweep to remain "active" for a setup.
Include Opens: Optional toggle to include Previous Day/Week/Month Opens as liquidity points.
Usage Tips
The Golden Setup: Look for a sweep of a Previous Day High, followed by a Bearish MSS, and an entry at the Red FVG box.
Risk Management: This indicator is designed for entry identification. Always use stop losses (usually placed above/below the candle that created the FVG or the MSS swing point).
Timeframes: Best used on execution timeframes (1m, 5m, 15m) while the script handles the HTF levels automatically.
Disclaimer: This script is an educational tool and does not constitute financial advice. Trading involves significant risk. Past performance of a strategy does not guarantee future results.
Credits: Concepts based on the teachings of Michael J. Huddleston (ICT).
Smart Fixed Volume Profile [MarkitTick]💡 This comprehensive analysis suite integrates Auction Market Theory, structural gap analysis, and statistical liquidity strain modeling into a single, cohesive toolkit. Designed for traders who require a granular view of institutional order flow, this indicator overlays a Fixed Range Volume Profile with intelligent price gap classification and a volatility-adjusted exhaustion detector. By combining these three distinct analytical dimensions, it allows users to identify value consensus, structural breakouts, and potential market turns driven by liquidity shortages.
✨ Originality and Utility
While standard Volume Profiles display where trading occurred, this script advances the concept by contextually analyzing *how* price arrived at those levels. It solves the problem of isolated analysis by fusing three disparate methodologies:
Contextual Integration: It does not merely show support and resistance; it qualifies moves using "Smart Gaps" (classifying gaps based on market structure) and "Liquidity Strain" (identifying unsustainable price velocity).
Institutional Footprint: The inclusion of an "Unusual Volume" highlighter within the profile bars helps traders spot hidden institutional accumulation or distribution blocks that standard profiles miss.
Hybrid Logic: By combining a fixed-time profile (anchored to specific dates) with dynamic, developing gap analysis, it provides both a static roadmap of the past and a dynamic interpretation of current price action.
🔬 Methodology and Concepts
• Fixed Volume Profile Engine
The core of the indicator constructs a volume distribution histogram over a user-defined time window. It utilizes a custom aggregation engine that:
Fetches higher-timeframe volume and price data to ensure accuracy.
Segments the price range into specific "bins" or rows.
Allocates volume to these bins based on price action within the bar, separating Buying Volume (Up bars) from Selling Volume (Down bars).
Calculates the Point of Control (POC) —the price level with the highest traded volume—and the Value Area , which contains 70% (customizable) of the total volume centered around the POC.
• Smart Gap Logic
The script systematically identifies price gaps and classifies them based on their location relative to market pivots (Highs/Lows):
Breakaway Gaps: Occur when price gaps beyond a significant structural pivot (Lookback High/Low), signaling a potential trend initiation.
Runaway Gaps: Occur within an existing trend without breaking structure, indicating trend continuation.
Exhaustion Gaps: Identified when a gap occurs late in a mature trend (measured by bar count since the last pivot) accompanied by a volume spike, suggesting the trend is overextended.
• Liquidity Strain Detector
This module utilizes a statistical approach to measure market stress. It calculates "Illiquidity" by analyzing the ratio of True Range to Volume (Price Impact).
It applies a Logarithmic transformation to normalize the data.
It calculates a Z-Score (Standard Deviation from the mean) of this impact.
If the Z-Score exceeds a threshold (e.g., 2.0 Sigma) while the trend opposes the price move, it triggers an exhaustion signal, indicating that price is moving too easily on too little volume (thin liquidity).
🎨 Visual Guide
• Volume Profile Elements
Histogram Bars: Horizontal bars representing volume at price. Cyan indicates bullish volume; Red indicates bearish volume.
Unusual Volume Highlight: Bars with volume exceeding the average by a set factor (default 2x) are highlighted with brighter, distinct overlays to denote institutional interest.
POC Line: A solid Yellow line marking the price level with the highest volume.
VAH / VAL Lines: Dashed Blue lines marking the Value Area High and Value Area Low.
Background Box: A grey shaded area encapsulating the entire time and price range of the profile.
• Smart Gap Boxes
Blue Box (Breakaway): Marks the start of a new structural move.
Orange Box (Runaway): Marks continuation gaps in the middle of a trend.
Red Box (Exhaustion): Marks potential trend termination points.
Dotted Lines: Extend from the center of gap boxes to serve as future support/resistance levels. These boxes are automatically deleted if price "fills" or violates the gap level.
Note: This tool incorporates core components from [ Smart Gap Concepts ], optimized for this specific strategy.
• Liquidity Signals
Green Label (SE): "Seller Exhaustion" – Appears below bars in a downtrend when selling pressure is statistically overextended.
Red Label (BE): "Buyer Exhaustion" – Appears above bars in an uptrend when buying pressure is statistically overextended.
Note: This tool incorporates core components from [ Liquidity Strain Detector ], optimized for this specific strategy.
📖 How to Use
• Interactive Range Selection: This indicator features a flexible, interactive input system. Upon adding the script to your chart, execution is paused until the analysis range is defined. You will be prompted to click on the chart twice: first to establish the Start Date and second to establish the End Date. Once these anchor points are confirmed, the indicator will automatically load the data and generate the profile for the selected specific period.
● Strategies for Optimal Anchoring
the optimal starting and ending points for high-probability setups:
Swing Highs and Lows (Trend Analysis):
Anchor the Start Date at a major structural swing high or low and the End Date at the current price using the Extend to Present feature. This identifies the "Fair Value" for the entire price move .
Consolidation/Range Anchoring:
Set the Start Date at the first bar of a sideways range and the End Date at the breakout candle. This reveals the high-node volume clusters that will act as future support or resistance.
Session-Based Anchoring (Intraday):
Align the Start Date with the session open (e.g., London or New York open) to track institutional flow for that specific day .
Event-Driven Anchoring:
Place the Start Date on a significant news event or a Breakaway Gap identified by the script's Gap Engine. This helps determine if the new volume supports the direction of the gap.
Correction Cycles:
During a pullback, anchor the Start Date at the start of the correction to find the Value Area Low (VAL), which often serves as a tactical entry point for a trend continuation.
• Identifying Value:
Use the Value Area to gauge market consensus. Acceptance of price within the VA indicates balance. A breakout above VAH or below VAL suggests the market is searching for new value. The POC often acts as a magnet for price correction.
• Trading Breakouts:
Watch for Breakaway Gaps (Blue) that align with a move out of the Volume Profile's Value Area. This confluence increases the probability of a sustained trend.
• Spotting Reversals:
Combine Exhaustion Gaps (Red) with Liquidity Strain Signals (SE/BE) . If price gaps up into a low-volume node on the profile and prints a "Buyer Exhaustion" signal, it suggests the move is unsupported by liquidity and liable to reverse.
• Support and Resistance:
The extended dotted lines from the Smart Gap boxes act as dynamic support/resistance. A retest of a "Runaway Gap" is often a viable entry point for trend continuation.
⚙️ Inputs and Settings
• Global Profile:
Start/End Date: Define the exact window for the volume profile calculation.
Extend to Present: If checked, the profile updates with live data beyond the end date.
• Profile Settings:
Number of Rows: Determines the vertical resolution (granularity) of the histogram.
Value Area %: Default is 70%, representing one standard deviation of volume distribution.
Placement: Position the profile on the Left or Right of the defined range.
• Liquidity & Gaps:
Unusual Threshold: Multiplier of average volume to highlight institutional bars (default 2.0x).
Structure Lookback: Adjusts the sensitivity of pivot detection for gap classification.
Stress Threshold (Sigma): The Z-Score limit for triggering Liquidity Strain signals (default 2.0).
🔍 Deconstruction of the Underlying Scientific and Academic Framework
• Auction Market Theory (AMT):
The script is grounded in AMT, which posits that the market's primary function is to facilitate trade. The Volume Profile visualizes this by displaying a bell curve of price distribution. The Value Area (typically 70%) corresponds to the First Standard Deviation in a normal Gaussian distribution, representing the area of "Fair Value" where buyers and sellers agree.
• Market Microstructure & Kyle’s Lambda:
The Liquidity Strain module draws conceptually from Kyle’s Lambda, a metric in market microstructure that measures market depth and price impact (Illiquidity). By calculating the ratio of price change (True Range) to Volume, the script approximates the "cost" of moving the market.
• Statistical Z-Score Normalization:
To make the liquidity data actionable, the script applies Z-Score normalization: Z = (X - μ) / σ . This converts raw illiquidity values into standard deviations from the mean. A Z-Score above +2.0 signifies a statistically significant anomaly—an outlier event where price moved excessively relative to the volume traded, often preceding a mean-reversion event.
⚠️ Disclaimer
All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. I expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion.
SMC Alpha Engine [PhenLabs]📊 SMC Alpha Engine
Version: PineScript™ v6
📌 Description
The SMC Alpha Engine is a comprehensive Smart Money Concepts indicator that automates institutional trading pattern recognition. Built for traders who understand that confluence is king, this indicator stacks multiple SMC elements together and scores them in real-time, allowing you to focus exclusively on high-probability setups.
Rather than manually tracking HTF bias, market structure, liquidity levels, order blocks, and fair value gaps separately, the SMC Alpha Engine consolidates everything into a unified scoring system. When enough factors align, you get a signal. When they don’t, you wait. This systematic approach removes emotion and subjectivity from SMC trading.
The indicator is designed around one core principle: only trade when the probabilities are stacked in your favor. By requiring multiple confluence factors before generating signals, it filters out the noise and keeps you focused on setups that institutional traders actually care about.
🚀 Points of Innovation
Automated confluence scoring system that evaluates 6 distinct SMC factors in real-time
HTF-to-LTF bias alignment ensuring trades flow with institutional direction
Intelligent liquidity sweep detection using wick-ratio analysis for confirmation
ATR-based FVG quality filtering that eliminates noise and shows only significant imbalances
Anti-spam signal logic preventing overtrading during volatile market conditions
Session-aware killzone integration timing entries with institutional activity windows
🔧 Core Components
HTF Bias Engine: Analyzes higher timeframe swing structure to establish directional bias using pivot high/low comparisons
Market Structure Module: Detects BOS (Break of Structure) and CHoCH (Change of Character) with real-time confirmation
Premium/Discount Calculator: Dynamically maps price zones relative to recent swing range equilibrium
Liquidity Tracker: Monitors swing points as liquidity targets and identifies sweep events with rejection confirmation
POI Detector: Identifies valid Order Blocks with displacement requirements and Fair Value Gaps with ATR filtering
Confluence Scorer: Aggregates all factors into bull/bear scores displayed on real-time dashboard
🔥 Key Features
Multi-timeframe analysis combining HTF directional bias with LTF precision entries
Customizable confluence threshold from 1 (low filter) to 5 (sniper mode)
Three killzone sessions: London (02:00-05:00), NY AM (08:30-11:00), NY PM (13:30-16:00)
Flexible mitigation options for OBs and FVGs: Wick, Close, 50%, or None
Visual structure labeling for BOS and CHoCH events on chart
Real-time info dashboard showing all current market conditions and scores
Built-in alert conditions for BOS, liquidity sweeps, and high-confluence signals
🎨 Visualization
Premium Zone: Red-tinted box above equilibrium indicating sell-side interest areas
Discount Zone: Green-tinted box below equilibrium indicating buy-side interest areas
Equilibrium Line: Dotted gray line marking the 50% level of current range
Order Blocks: Color-coded boxes (green for bullish, red for bearish) showing institutional candles
Fair Value Gaps: Teal boxes for bullish FVGs, maroon boxes for bearish FVGs
Killzone Backgrounds: Blue (London), Orange (NY AM), Purple (NY PM) session highlighting
Info Table: Top-right dashboard displaying HTF bias, LTF trend, zone, killzone status, and scores
📖 Usage Guidelines
HTF Settings
HTF Timeframe - Default: 60 - Controls higher timeframe for directional bias
HTF Swing Length - Default: 10, Range: 3+ - Determines pivot sensitivity for HTF trend
Market Structure Settings
LTF Swing Length - Default: 3, Range: 1-10 - Controls swing detection sensitivity
Show BOS/CHoCH - Default: Off - Toggles structure labels on chart
Show Strong/Weak Points - Default: Off - Displays swing point classifications
POI Settings
Show Valid Order Blocks - Default: Off - Displays OBs that caused displacement
Show Unmitigated FVGs - Default: On - Shows active fair value gaps
Filter FVG by ATR - Default: On - Only shows FVGs larger than 0.5x ATR
OB Mitigation Type - Options: Wick, Close, None - Determines when OBs are invalidated
FVG Mitigation Type - Options: Wick, Close, 50%, None - Determines when FVGs are filled
Confluence Settings
Minimum Score for Signal - Default: 4, Range: 1-5 - Required confluence level for entries
Show Entry Signals - Default: On - Toggles LONG/SHORT labels on chart
✅ Best Use Cases
Trend continuation trades during active killzone sessions with HTF alignment
Discount zone entries on bullish HTF bias with recent liquidity sweep below
Premium zone shorts on bearish HTF bias after liquidity grab above recent highs
Reversal identification following CHoCH with POI confluence in optimal zone
Filtering existing strategy signals by requiring minimum confluence score
⚠️ Limitations
HTF bias detection requires sufficient price history for accurate pivot identification
Liquidity sweep detection depends on wick-ratio settings and may miss some events
Order blocks require displacement confirmation which may exclude some valid zones
Confluence scoring is probabilistic and does not guarantee profitable outcomes
Killzone times are based on EST/EDT and require timezone adjustment for other regions
Signal spam prevention may delay valid signals by up to 10 bars after previous signal
💡 What Makes This Unique
Unified SMC Framework: Combines all major SMC concepts into one cohesive indicator rather than requiring multiple tools
Objective Scoring System: Removes subjectivity by quantifying confluence into measurable scores
Institutional Timing Integration: Built-in killzone awareness ensures signals align with high-volume sessions
Quality Filtering: ATR-based FVG filtering and displacement-required OBs eliminate low-quality setups
Anti-Overtrading Logic: Smart signal spacing prevents emotional trading during choppy conditions
🔬 How It Works
Step 1: HTF Bias Determination
Analyzes higher timeframe pivot highs and lows
Compares consecutive pivots to identify HH/HL (bullish) or LH/LL (bearish) sequences
Establishes directional filter that all signals must respect
Step 2: LTF Structure Mapping
Detects swing points on execution timeframe
Identifies BOS when price closes beyond confirmed swing level
Recognizes CHoCH when structure break occurs against current trend
Step 3: Confluence Calculation
Awards +1 for HTF bias alignment
Awards +1 for active killzone timing
Awards +1 for optimal zone positioning (discount for longs, premium for shorts)
Awards +1 for price at unmitigated POI
Awards +1 for recent liquidity sweep in trade direction
Awards +1 for recent supportive structure break
Step 4: Signal Generation
Compares total score against user-defined minimum threshold
Requires candle confirmation (bullish close for longs, bearish close for shorts)
Applies 10-bar spacing filter to prevent signal clustering
💡 Note:
This indicator is designed for traders already familiar with Smart Money Concepts. While it automates detection and scoring, understanding why each factor matters will significantly improve your ability to filter signals and manage trades effectively. Use the minimum confluence setting to match your risk tolerance, higher values mean fewer but higher-quality signals.
Smart Money Flow Cloud [BOSWaves]Smart Money Flow Cloud - Volume-Weighted Trend Detection with Adaptive Volatility Bands
Overview
Smart Money Flow Cloud is a volume flow-aware trend detection system that identifies directional market regimes through money flow analysis, constructing adaptive volatility bands that expand and contract based on institutional pressure intensity.
Instead of relying on traditional moving average crossovers or fixed-width channels, trend direction, band width, and signal generation are determined through volume-weighted money flow calculation, nonlinear flow strength modulation, and volatility-adaptive band construction.
This creates dynamic trend boundaries that reflect actual institutional buying and selling pressure rather than price momentum alone - tightening during periods of weak flow conviction, expanding during strong directional moves, and incorporating flow strength statistics to reveal whether regimes formed under accumulation or distribution conditions.
Price is therefore evaluated relative to adaptive bands anchored at a flow-informed baseline rather than conventional trend-following indicators.
Conceptual Framework
Smart Money Flow Cloud is founded on the principle that sustainable trends emerge where volume-weighted money flow confirms directional price movement rather than where price alone creates patterns.
Traditional trend indicators identify regime changes through price crossovers or slope analysis, which often ignore the underlying volume dynamics that validate or contradict those movements.This framework replaces price-centric logic with flow-driven regime detection informed by actual buying and selling volume.
Three core principles guide the design:
Trend direction should correspond to volume-weighted flow dominance, not price movement alone.
Band width must adapt dynamically to current flow strength and volatility conditions.
Flow intensity context reveals whether regimes formed under conviction or uncertainty.
This shifts trend analysis from static moving averages into adaptive, flow-anchored regime boundaries.
Theoretical Foundation
The indicator combines adaptive baseline smoothing, close location value (CLV) methodology, volume-weighted flow tracking, and nonlinear strength amplification.
A smoothed trend baseline (EMA or ALMA) establishes the core directional reference, while close location value measures where price settled within each bar's range. Volume weighting applies directional magnitude to flow calculation, which accumulates into a normalized money flow ratio. Flow strength undergoes nonlinear power transformation to amplify strong conviction periods and dampen weak flow environments. Average True Range (ATR) provides volatility-responsive band sizing, with final width determined by the interaction between base volatility and flow-modulated multipliers.
Four internal systems operate in tandem:
Adaptive Baseline Engine : Computes smoothed trend reference using either EMA or ALMA methodology with configurable secondary smoothing.
Money Flow Calculation System : Measures volume-weighted directional pressure through CLV analysis and ratio normalization.
Nonlinear Flow Strength Modulation : Applies power transformation to flow intensity, creating dynamic sensitivity scaling.
Volatility-Adaptive Band Construction : Scales band width using ATR measurement combined with flow-strength multipliers that range from minimum (calm) to maximum (strong flow) expansion.
This design allows bands to reflect actual institutional behavior rather than reacting mechanically to price volatility alone.
How It Works
Smart Money Flow Cloud evaluates price through a sequence of flow-aware processes:
Close Location Value (CLV) Calculation : Each bar's closing position within its high-low range is measured, creating a directional bias indicator ranging from -1 (closed at low) to +1 (closed at high).
Volume-Weighted Flow Tracking : CLV is multiplied by bar volume, then accumulated and normalized over a configurable flow window to produce a money flow ratio between -1 and +1.
Flow Smoothing and Strength Extraction : The raw money flow ratio undergoes optional smoothing, then nonlinear power transformation to amplify strong flow periods and compress weak flow environments.
Adaptive Baseline Construction : Price (both open and close) is smoothed using either EMA or ALMA methodology with optional secondary smoothing to create a stable trend reference.
Dynamic Band Sizing : ATR measurement is multiplied by a flow-strength-modulated factor that interpolates between minimum (tight) and maximum (wide) multipliers based on current flow conviction.
Regime Detection and Visualization : Price crossing above the upper band triggers bullish regime, crossing below the lower band triggers bearish regime. The baseline cloud visualizes open-close relationship within the current trend.
Retest Signal Generation : Price touching the baseline from within an established regime generates retest signals with configurable cooldown periods to prevent noise.
Together, these elements form a continuously updating trend framework anchored in volume flow reality.
Interpretation
Smart Money Flow Cloud should be interpreted as flow-confirmed trend boundaries:
Bullish Regime (Blue) : Activated when price crosses above the upper adaptive band, indicating volume-confirmed buying pressure exceeding volatility-adjusted resistance.
Bearish Regime (Red) : Established when price crosses below the lower adaptive band, identifying volume-confirmed selling pressure breaking volatility-adjusted support.
Baseline Cloud : The gap between smoothed open and smoothed close within the baseline visualizes intrabar directional bias - wider clouds indicate stronger intrabar momentum.
Adaptive Band Width : Reflects combined volatility and flow strength - wider bands during high-conviction institutional activity, tighter bands during consolidation or weak flow periods.
Buy/Sell Labels : Appear at regime switches when price crosses from one band to the other, marking potential trend inception points.
Retest Signals (✦) : Diamond markers indicate price touching the baseline within an established regime, often occurring during healthy pullbacks in trending markets.
Trend Strength Gauge : Visual meter displays current regime strength as a percentage, calculated from price position within the active band relative to baseline.
Background Gradient : Optional coloring intensity reflects flow strength magnitude, darkening during high-conviction periods.
Flow strength, band width adaptation, and baseline relationship outweigh isolated price fluctuations.
Signal Logic & Visual Cues
Smart Money Flow Cloud presents three primary interaction signals:
Regime Switch - Buy : Blue "Buy" label appears when price crosses above the upper band after previously being in a bearish regime, suggesting volume-confirmed bullish transition.
Regime Switch - Sell : Red "Sell" label displays when price crosses below the lower band after previously being in a bullish regime, indicating volume-confirmed bearish transition.
Trend Retest : Diamond (✦) markers appear when price touches the baseline within an established regime, with configurable cooldown periods to filter noise.
Alert generation covers regime switches and retest events for systematic monitoring.
Strategy Integration
Smart Money Flow Cloud fits within volume-informed and institutional flow trading approaches:
Flow-Confirmed Entry : Use regime switches as primary trend inception signals where volume validates directional breakouts.
Retest-Based Refinement : Enter on baseline retest signals within established regimes for improved risk-reward positioning during pullbacks.
Band Width Context : Expect wider price swings when bands expand (high flow strength), tighter ranges when bands contract (weak flow).
Baseline Cloud Confirmation : Favor trades where baseline cloud width confirms intrabar momentum alignment with regime direction.
Strength Gauge Filtering : Use trend strength percentage to gauge continuation probability - higher readings suggest stronger institutional conviction.
Multi-Timeframe Regime Alignment : Apply higher-timeframe regime context to filter lower-timeframe entries, taking only setups aligned with dominant flow direction.
Technical Implementation Details
Core Engine : Configurable EMA or ALMA baseline with secondary smoothing
Flow Model : Close Location Value (CLV) with volume weighting and ratio normalization
Strength Transformation : Configurable power function for nonlinear flow amplification
Band Construction : ATR-scaled width with flow-strength-interpolated multipliers
Visualization : Dual-line baseline cloud with gradient fills, regime-colored bands, and embedded strength gauge
Signal Logic : Band crossover detection with baseline retest identification and cooldown management
Performance Profile : Optimized for real-time execution with minimal computational overhead
Optimal Application Parameters
Timeframe Guidance:
1 - 5 min : Micro-structure regime detection for scalping and intraday reversals
15 - 60 min : Intraday trend identification with flow-validated swings
4H - Daily : Swing and position-level regime analysis with institutional flow context
Suggested Baseline Configuration:
Trend Length : 34
Trend Engine : EMA
Trend Smoothing : 3
Flow Window : 24
Flow Smoothing : 5
Flow Boost : 1.2
ATR Length : 14
Band Tightness (Calm) : 0.9
Band Expansion (Strong Flow) : 2.2
Reset Cooldown : 12
These suggested parameters should be used as a baseline; their effectiveness depends on the asset's volume profile, volatility characteristics, and preferred signal frequency, so fine-tuning is expected for optimal performance.
Parameter Calibration Notes
Use the following adjustments to refine behavior without altering the core logic:
Bands too wide/frequent whipsaws : Reduce "Band Expansion (Strong Flow)" to limit maximum band width, or increase "Band Tightness (Calm)" to widen minimum bands and reduce noise sensitivity.
Trend baseline too choppy : Increase "Trend Length" for smoother baseline, or increase "Trend Smoothing" for additional filtering.
Flow readings unstable : Increase "Flow Smoothing" to reduce bar-to-bar noise in money flow calculation.
Missing legitimate regime changes : Decrease "Trend Length" for faster baseline response, or reduce "Band Tightness (Calm)" for earlier breakout detection.
Too many retest signals : Increase "Reset Cooldown" to space out retest markers, or disable retest signals entirely if not using pullback entries.
Flow strength not responding : Increase "Flow Boost" (power factor) to amplify strong flow differentiation, or decrease "Flow Window" to emphasize recent volume activity.
Prefer different smoothing characteristics : Switch "Trend Engine" to ALMA and adjust "ALMA Offset" (higher = more recent weighting) and "ALMA Sigma" (higher = smoother) for alternative baseline behavior.
Adjustments should be incremental and evaluated across multiple session types rather than isolated market conditions.
Performance Characteristics
High Effectiveness:
Markets with consistent volume participation and institutional flow
Instruments where volume accurately reflects true liquidity and conviction
Trending environments where flow confirms directional price movement
Mean-reversion strategies using retest signals within established regimes
Reduced Effectiveness:
Extremely low volume environments where flow calculations become unreliable
News-driven or gapped markets with discontinuous volume patterns
Highly manipulated or thinly traded instruments with erratic volume distribution
Ranging markets where price oscillates within bands without conviction
Integration Guidelines
Confluence : Combine with BOSWaves structure, order flow analysis, or traditional volume profile
Flow Validation : Trust regime switches accompanied by strong flow readings and wide band expansion
Context Awareness : Consider whether current market regime matches historical flow patterns
Retest Discipline : Use baseline retest signals as confirmation within trends, not standalone entries
Breach Management : Exit regime-aligned positions when price crosses opposing band with volume confirmation
Disclaimer
Smart Money Flow Cloud is a professional-grade volume flow and trend analysis tool. Results depend on market conditions, volume reliability, parameter selection, and disciplined execution. BOSWaves recommends deploying this indicator within a broader analytical framework that incorporates price structure, market context, and comprehensive risk management.
NeuraCloud - Ichimoku (Purple Kumo) + Alerts (Minimal)NeuraCloud is a clean, modern interpretation of the Ichimoku Cloud, designed to identify trend direction, market structure, and key support/resistance zones at a glance.
The purple cloud (Kumo) acts as a dynamic trend filter:
• Price above the cloud indicates bullish conditions
• Price below the cloud indicates bearish conditions
• Price inside the cloud signals consolidation or uncertainty
NeuraCloud combines the cloud with Tenkan-sen and Kijun-sen to highlight momentum shifts, pullbacks, and trend continuation opportunities. Built-in alerts notify you of price/cloud breaks, momentum crosses, and cloud flips, helping you stay aligned with high-probability market structure.
Ideal for trend traders, swing traders, and multi-timeframe analysis, NeuraCloud keeps charts clean while delivering clear market context.
CISD Projections [LuxAlgo]The CISD Projections tool automatically plots mechanical price projection targets based on fractal market structure and swing manipulation legs. These projections offer dynamic, statistically informed targets that align with how prices tend to expand after a reversal point is confirmed.
🔶 USAGE
Projections are mechanical target levels derived from the manipulation leg following a confirmed change in state of delivery (CISD). They estimate where price is most likely to travel next by applying extended Fibonacci projection levels off the swing that initiated the move.
The tool works in the following way:
1. Detect the reversal bar that signals a shift in delivery.
2. Identify the manipulation leg: the swing that caused the reversal.
3. Anchor projections from this leg using customized Fibonacci levels such as 1, 2, 2.5, 4, 4.5 — each representing a potential target based on leg size and market expansion expectation.
For a correct target interpretation:
Average-sized legs often target between 2 and 2.5 levels.
Expanding legs may reach 4 to 4.5.
Large manipulation legs may warrant conservative expectations, focusing on 1 target.
As we can see in the image, traders must be aware of current market conditions and manipulation leg size in order to decide which levels to target and ask the right questions: Is volatility contracting or expanding? Is this manipulation leg smaller or larger than the previous ones?
Ultimately, projections provide objective, mechanical targets rather than subjective guesswork. They can be used on their own or in conjunction with liquidity zones, CISDs, and structural levels. They also help identify realistic price targets based on measured swing magnitude.
🔹 Filtering Setups
The chart shows how the output is affected by different filtering options:
Bars Threshold: show setups with a minimum number of bars in the manipulation leg.
CISD Filter: show setups only at the top or bottom of the range for the last X bars.
Invalidate CISDs on CHoCH: setups stop expanding after the first close beyond the manipulation leg.
We can obtain more meaningful setups with larger filter values by filtering the setups, or we can zoom in on details at the trader's discretion by disabling all filters.
🔶 SETTINGS
Bars Threshold: Minimum number of bars of each setup.
CISD Filter: Enable or disable the filter and select the length. This filter identifies setups at the top or bottom of the range over the last X bars.
Invalidate CISDs on CHoCH: Stop the level extension on ChoCH against CISD. This occurs when there is a close below the bottom on bullish setups and a close above the top on bearish setups.
🔹 Projections
Enable or disable each projection, select the projection level, and choose a style.
🔹 Style
CISD Level: Enable or disable CISD price level and select style.
Labels size: Select the size of the labels.
Bullish Color: Select a color for bullish setups.
Bearish Color: Select a color for bearish setups.
Background Fill: Enable or disable the background fill between the price and the extreme projection.
Support and Resistance Breakout Signals [MarkitTick]💡 This indicator provides a comprehensive, automated system for identifying, tracking, and trading Support and Resistance (S/R) breakouts. By synthesizing classic Swing High and Swing Low pivot analysis with Multi-Timeframe (HTF) capabilities and Volume confirmation, it transforms raw price action into actionable structural data. It is designed to declutter charts by automatically managing active levels and highlighting significant market structure shifts (Higher Highs, Lower Lows) alongside verified breakout signals.
✨ Originality and Utility
While many indicators draw static pivot points, this tool distinguishes itself through "State Management." It treats Support and Resistance not just as historical markers, but as active zones that evolve.
Dynamic Level Management: Instead of flooding the chart with infinite lines, the script uses arrays to store a specific number of recent levels. As price action progresses, invalid or broken levels are removed or updated, keeping the analysis focused on current relevance.
Multi-Timeframe Confluence: Uniquely, it allows you to overlay higher timeframe support and resistance levels (e.g., Daily levels on a 4-hours chart) without changing your chart view, enabling top-down analysis instantly.
Market Structure Labeling: It automatically tags pivot points with Dow Theory labels (HH, LH, LL, HL), aiding traders in instantly recognizing trend direction without manual charting.
🔬 Methodology and Concepts
The script operates on three core technical pillars:
● Swing Pivot Detection
The foundation is the detection of local extrema using a "Left/Right" bar lookback mechanism. A Swing High is identified when a high is greater than the L bars preceding it and the R bars following it. This confirms a fractal peak or valley.
Note on Confirmation: Because the script waits for R bars to close to confirm a pivot, the lines appear retroactively. However, the extension of these lines and subsequent breakout signals occur in real-time.
● Breakout Logic with Volume Integration
A breakout is triggered when the Close price crosses an active S/R line.
Resistance Break: Current Close > Resistance Level (and Previous Close ≤ Level).
Support Break: Current Close < Support Level (and Previous Close ≥ Level).
Volume Confirmation: An optional filter requires the breakout bar's volume to exceed a Moving Average of volume, ensuring momentum backs the move.
● Time Decay
To mimic the reduced relevance of stale levels, the script includes a "Time Decay" feature. If a level is not interacted with for a user-defined number of bars, it is automatically purged from the system, ensuring the chart reflects only fresh interest levels.
🎨 Visual Guide
The indicator uses a specific color-coding and labeling system to convey information quickly:
● Support & Resistance Lines
Red Lines (Thin): Represent active Resistance levels on the current timeframe.
Green Lines (Thin): Represent active Support levels on the current timeframe.
Fuchsia Lines (Thick): Represent Higher Timeframe (HTF) Resistance levels.
Aqua Lines (Thick): Represent Higher Timeframe (HTF) Support levels.
● Market Structure Labels
Located at the pivot points, these text labels define the trend structure:
HH / LH: Higher High / Lower High (Red Text).
LL / HL: Lower Low / Higher Low (Green/Aqua Text).
HTF-R / HTF-S: Indicates major structural pivots from the higher timeframe.
● Breakout Signals
When a valid break occurs, a label appears above or below the bar:
Blue Triangle Up (▲): Bullish breakout through resistance.
Blue Triangle Down (▼): Bearish breakout through support.
Number in Label: Indicates the cumulative count of breaks for that specific trend sequence (e.g., "1" is the first break, "2" is the second).
The breakout count represents the intensity of the move. A reading greater than 1 signals exceptional market strength, indicating the penetration of multiple Key Levels (Support or Resistance) within a single candle.
📖 How to Use
Trend Continuation: In an uptrend (sequence of HH/HL), wait for a Blue Triangle Up (▲) occurring at a Red Resistance line. This signals the continuation of the trend.
Trend Reversal: Watch for a "Structure Break." If price is making Higher Highs, but then breaks a Green Support line (generating a ▼ signal) and forms a Lower Low (LL), the trend may be reversing.
HTF "Bounce" Plays: Use the thick Fuchsia/Aqua lines as major zones. If price approaches a thick Aqua line (HTF Support) and fails to break it, look for LTF bullish structure (HH/HL) to form for an entry.
Volume Filtering: Enable the "Volume Confirmation" setting to filter out "fakeouts" (breaks on low volume).
⚙️ Inputs and Settings
● Swing Settings
Left/Right Bars: Determines the sensitivity of the pivot detection. Higher numbers = fewer, more significant pivots.
Max Stored Levels: How many S/R lines to keep in memory at once.
Max Break Labels: Limits visual clutter by capping the number of signal labels.
● Usability & HTF
Enable Time Decay: If true, deletes lines that are older than "Decay Period" bars.
Enable HTF Levels: Toggles the display of higher timeframe pivots.
HTF Timeframe: Select the specific timeframe for the macro view (e.g., "D" for Daily).
● Analysis
Volume Confirmation: Toggles the requirement for volume to be above its average for a signal to fire.
Show Market Structure: Toggles the HH/LL text labels.
🔍 Deconstruction of the Underlying Scientific and Academic Framework
The script's logic is rooted in Fractal Geometry and Auction Market Theory .
● Mandelbrot's Fractals: The use of `leftBars` and `rightBars` is a direct application of identifying market fractals. Markets are self-similar across timeframes; a pivot on a 5-minute chart is structurally identical to one on a Weekly chart. This script exploits this property by allowing nested timeframe analysis (LTF inside HTF).
● Memory of Price (Behavioral Finance): Support and resistance lines represent zones where market participants have previously established value (Price Memory). The "Breakout" signal is mathematically significant because it represents a shift in the supply/demand equilibrium. When price closes beyond a stored array value (the pivot price), it signifies that the aggressive limit orders that created the pivot have been exhausted or withdrawn, validating a new search for value.
⚠️ Disclaimer
All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. I expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion.
Dynamic Supports + Volume Profile (Smart Time Selector)This indicator is an "All-in-One" tool designed to simplify Market Structure and Volume analysis on higher timeframes (especially Daily charts).
Its main innovation is the **Unique Period Selector**, which automatically adjusts 5 internal parameters (tolerance, pivot sensitivity, resolution, and historical depth) with a single click.
**🛠️ MAIN FEATURES:**
1. **Automatic Engine (1-5 Years):**
* Forget about manually setting pivot lengths or "Lookback".
* Select **"1 Year"**: The script scans for fast pivots and recent volume for *Swing Trading*.
* Select **"5 Years"**: The script filters noise and shows only "Rock-Solid" structures (Historical S/R) for *Long Term Investing*.
2. **"Merged" Support & Resistance (S/R):**
* The script detects Pivot Highs/Lows.
* **Fusion Logic:** If price bounces multiple times in the same zone (within calculated tolerance), the script updates the existing line instead of drawing a new one. It extends the line and counts the touches (e.g., "S (4)" means a Support validated 4 times).
* **Clean Chart:** Avoids visual noise.
3. **Lateral Volume Profile (VP):**
* Displays volume distribution to the right of the current price.
* **Orange POC (Point of Control):** Marks the exact price level with the highest trading volume in the selected period.
**🚀 HOW TO USE (STRATEGY):**
Best used on the **Daily Timeframe (1D)**:
* **Scenario 1: Mean Reversion**
* If price moves far from the **Orange POC**, look for it to act as a magnet.
* Enter when price touches a **Green Line (Support)** that aligns with a high volume node.
* **Scenario 2: Breakout**
* If price breaks a **Red Line (Resistance)** aggressively and the volume above is thin (low volume nodes), the move tends to be fast due to lack of friction.
* **Scenario 3: Multi-Timeframe Analysis**
* Use "5 Years" to mark your long-term zones.
* Switch to "1 Year" for tactical entries.
**🎨 VISUAL SETTINGS:**
* **Green Lines:** Demand Zones (Supports).
* **Red Lines:** Supply Zones (Resistances).
* **Dotted Orange Line:** POC (Fair Value).
* **Blue Bars:** Volume Profile.
**Disclaimer / Descargo:**
This script is designed for educational and analytical purposes on the daily timeframe. Use it to identify zones of interest, not as automatic buy/sell signals.
Structural Trend Integrity Score (STIS)The Structural Trend Integrity Score (STIS) is a market regime and trend-quality indicator designed to evaluate the health and durability of a price trend, rather than its direction or momentum. Instead of focusing on overbought or oversold conditions, STIS measures whether a trend is structurally supported by consistent organization, persistence above trend, controlled pullbacks, and smooth progression.
STIS outputs a normalized score from 0 to 100, where higher values indicate stronger and more reliable trend structure, and lower values signal increasing fragility or structural breakdown. This makes it especially well suited for index funds and highly liquid markets, where trends tend to persist or fail based on internal structure rather than short-term price acceleration.
The indicator is intended to be used as a risk and confidence framework, not as a direct buy or sell signal. STIS helps traders and investors determine when it is efficient to maintain or increase exposure and when caution is warranted. It works best when paired with separate timing or entry tools and is particularly effective for long-only or trend-following strategies.
PHEN ATLAS - Market Map & Playbook [PhenLabs]📊 PHEN ATLAS 🎂 #50 🎂
Version: PineScript™ v6
📌 Description
The PHEN ATLAS marks a historic milestone as the 50th official release from PhenLabs . This is a critical release you do not want to miss, serving as a comprehensive Market Map and Playbook designed to provide traders with a complete structural overview of price action. By synthesizing Market Structure, Liquidity concepts, and Regime detection, this script solves the problem of "analysis paralysis" by grading price action in real-time. It moves beyond simple indicators by offering a quantified "Playbook" that scores trade setups from 0 to 100, helping traders focus exclusively on high-probability opportunities while automating the complex math of position sizing and risk management.
🚀 Points of Innovation
Proprietary Scoring Engine: Unlike standard indicators, this script assigns a quantitative score (0-100) to every potential trade based on confluence factors like HTF alignment and displacement.
Dynamic Regime Detection: Features an integrated dashboard that classifies the market into specific phases (Expansion, Trend, Range) using ADX and EMA alignment logic.
Smart Liquidity Pools: Automatically identifies and visualizes resting liquidity, tracking when these pools are "swept" to generate high-probability reversal signals.
Integrated Trade Manager: Automates the calculation of Stop Loss, Take Profit (1:2 and 1:3), and Position Size based on account balance and risk percentage directly on the chart.
Multi-Mode Interface: Offers three distinct visual modes—Clean, Pro, and Sniper—allowing users to toggle between deep analysis and clutter-free execution instantly.
🔧 Core Components
Structure Module: Identifies Pivots, Break of Structure (BOS), and Change of Character (CHoCH) to define the current market bias.
Liquidity Engine: Plots liquidity pools at key swing points and detects "Sweeps" where price grabs liquidity before reversing.
Regime Filter: Uses a combination of EMAs (21/50) and ADX to determine if the market is trending or ranging, filtering out low-quality signals.
Setup Validator: Monitors for three specific setup types (Sweep, Snapback, FVG Retest) and triggers alerts only when specific scoring thresholds are met.
🔥 Key Features
Automated detection of High Timeframe (HTF) structure without repainting issues.
Real-time grading of price displacement to validate institutional intent.
Visual Risk/Reward boxes that automatically adjust to the volatility (ATR) of the asset.
Fair Value Gap (FVG) detection with auto-mitigation tracking to clean up the chart.
Customizable alerts for A+ setups, regime changes, and trade invalidations.
Detailed dashboard displaying current Trend, Phase, Bias, and the score of the last setup.
🎨 Visualization
Structure Points: Triangles for BOS and Diamonds for CHoCH events clearly mark trend shifts.
Liquidity Lines: Dotted lines extending from pivots indicate un-swept liquidity pools; these dim automatically when swept.
Setup Signals: Prominent "A+" labels appear on the chart when a setup meets the minimum score threshold defined by the user.
Risk Boxes: Color-coded boxes (Green for Long, Red for Short) show Entry, Stop Loss, and Take Profit levels visually.
Dashboard: A compact table in the bottom right corner provides a "Heads Up Display" of the market state.
📖 Usage Guidelines
Display Mode: Select between 'Clean' for signals only, 'Pro' for full analysis including FVGs and Structure, or 'Sniper' for only high-score setups.
HTF Timeframe: Sets the higher timeframe for structural analysis (Default: 240/4-Hour) to ensure you trade with the dominant trend.
Min Score for A+ Setup: Threshold (0-100) required to trigger a signal (Default: 83); increase this to filter for only the absolute best trades.
Risk %: Defines the percentage of your account you are willing to risk per trade (Default: 1.0%), used for the position size calculation.
Account Balance: Input your current capital (Default: 10,000) to receive accurate unit sizing for every trade setup.
ADX Threshold: Adjusts the sensitivity of the Regime detection filter (Default: 20) to determine when the market is trending versus ranging.
✅ Best Use Cases
Confluence Trading: Use the scoring system to filter discretionary entries, taking trades only when the system scores them above 80.
Prop Firm Trading: Utilize the built-in position size calculator to strictly adhere to risk management rules during evaluations.
Trend Following: Wait for the Regime Dashboard to show "Bullish Expansion" before taking Long "Snapback" entries.
Reversal Trading: Focus on "Sweep Reclaim" setups where price sweeps a liquidity pool and immediately closes back within range.
⚠️ Limitations
This tool is a trend-following and reversal system; it may produce lower scores during undefined, low-volatility chop.
The position size calculator is an estimation based on the entry candle; actual execution slippage is not accounted for.
HTF data relies on closed candles to prevent repainting, which may result in a slight lag during rapid volatility spikes.
💡 What Makes This Unique
Playbook Scoring: Most indicators just give a signal; PHEN ATLAS gives you a "Grade" (e.g., 85/100), allowing you to make informed decisions based on quality, not just frequency.
Context Awareness: The script understands "Market Regime" and creates a context-aware bias, rather than blindly firing signals in a range.
🔬 How It Works
Step 1 - Regime Definition: The script analyzes the 21/50 EMA relationship and ADX to define if the market is in a Trend or Range.
Step 2 - Structure & Liquidity: It maps key pivots and liquidity pools, waiting for a "Sweep" event or a structural break.
Step 3 - Setup Trigger: When a specific pattern occurs (like a Sweep Reclaim), the engine calculates a score based on displacement, volume, and key level alignment.
Step 4 - Execution Logic: If the score > Threshold, the Trade Manager calculates the invalidation point (SL) and projects 2R/3R targets automatically.
🎉 Message From The Team 🎉
2025 was an amazing year. 12 months of building, shipping, and improving together with you. Hitting our 50th indicator release marks one full year of weekly drops , and we couldn't have done it without this community, and of course, BIG thank you to TradingView and it's team.
Thank you for all the feedback, charts, and support. Let's make 2026 even bigger. We can't wait to show you what we've been working on. 🚀
💡 Note
For best results, we recommend using the "Pro" mode during analysis to understand the narrative, and switching to "Sniper" or "Clean" during execution to maintain focus. Always ensure your "Account Balance" input matches your broker balance for accurate risk calculations.
All-in-one trend clarityTrendLens is a multi-layer, all-in-one overlay indicator designed to visually detect and filter market direction — not a buy/sell strategy.
It highlights early trend shifts based on candle behavior, then supports that view using Pivot High/Low structure, three customizable EMAs, and a visible daily session window to focus on active market hours.
What’s included (All inside one indicator)
Structural Trend Candles
If price closes above the highest high of the previous N bars → candle turns white (bullish structural breakout).
If price closes below the lowest low of the previous N bars → candle turns black (bearish structural breakdown).
Pivot High / Pivot Low Markers
Detects swing highs/lows using adjustable left/right bars (default 7) and plots small gray triangle markers on the chart.
Active Session Window
Highlights a fixed daily time window (default 06:00–18:00 UTC) with a transparent green background to visually mark the active trading session.
3 Customizable EMAs
EMA Fast (default 10)
EMA Mid (default 20)
EMA Long (default 100)
Each EMA supports custom length, source, color, and thickness.
How to use it
Use white/black candles as a quick trend filter and early structure shift cue.
Use EMA100 as the main trend bias reference; use EMA10/EMA20 positioning to gauge momentum.
Use Pivot High/Low to spot structure levels for potential support/resistance and risk management.
Enable the session highlight to focus analysis on high-activity hours.
Disclaimer
This indicator is a technical analysis helper, not a trading strategy.
It does not provide buy/sell recommendations. You are responsible for your own trade decisions and risk management.
Delta Reaction Zones [BOSWaves]Delta Reaction Zones - Cumulative Delta-Based Supply and Demand Identification with Flow-Weighted Zone Construction
Overview
Delta Reaction Zones is a volume flow-aware supply and demand detection system that identifies price levels where significant buying or selling pressure accumulated, constructing adaptive zones around cumulative delta extremes with intelligent flow composition analysis.
Instead of relying on traditional price-based support and resistance or fixed pivot structures, zone placement, thickness, and directional characterization are determined through delta accumulation patterns, volatility-adaptive sizing, and the proportional composition of positive versus negative volume flow.
This creates dynamic reaction boundaries that reflect actual order flow imbalances rather than arbitrary price levels - contracting during low volatility environments, expanding during elevated volatility periods, and incorporating flow composition statistics to reveal whether zones formed under buying or selling dominance.
Price is therefore evaluated relative to zones anchored at delta extremes rather than conventional technical levels.
Conceptual Framework
Delta Reaction Zones is founded on the principle that meaningful support and resistance emerge where cumulative volume flow reaches local extremes rather than where price alone forms patterns.
Traditional support and resistance methods identify turning points through price structure, which often ignores the underlying order flow dynamics that drive those reversals. This framework replaces price-centric logic with delta-driven zone construction informed by actual buying and selling pressure.
Three core principles guide the design:
Zone placement should correspond to cumulative delta extremes, not price pivots alone.
Zone thickness must adapt to current market volatility conditions.
Flow composition context reveals whether zones formed under accumulation or distribution.
This shifts supply and demand analysis from static price levels into adaptive, flow-anchored reaction boundaries.
Theoretical Foundation
The indicator combines delta proxy methodology, cumulative volume tracking, adaptive volatility measurement, and flow decomposition analysis.
A signed volume delta proxy estimates directional order flow on each bar, which accumulates into a running cumulative delta series. Pivot detection identifies local extremes in either cumulative delta or its rate of change, marking levels where flow momentum reached inflection points. Average True Range (ATR) provides volatility-responsive zone sizing, while impulse window analysis decomposes recent flow into positive and negative components with percentage weighting.
Four internal systems operate in tandem:
Delta Accumulation Engine : Computes smoothed signed volume and maintains cumulative delta tracking for directional flow measurement.
Pivot Detection System : Identifies significant turning points in cumulative delta or delta rate of change to anchor zone placement.
Adaptive Zone Construction : Scales zone thickness dynamically using ATR-based volatility measurement around pivot anchors.
Flow Composition Analysis : Calculates positive and negative flow percentages over a configurable impulse window to characterize zone formation context.
This design allows zones to reflect actual order flow behavior rather than reacting mechanically to price formations.
How It Works
Delta Reaction Zones evaluates price through a sequence of flow-aware processes:
Signed Volume Delta Calculation : Each bar's volume is directionally signed based on close-open relationship, creating a proxy for buying versus selling pressure.
Cumulative Delta Tracking : Signed volume accumulates into a running total, revealing sustained directional flow over time.
Pivot Identification : Local highs and lows in cumulative delta (or its rate of change) mark significant flow inflection points where zones anchor.
Volatility-Adaptive Sizing : ATR multiplier determines zone half-width, automatically adjusting thickness to current market conditions.
Flow Decomposition : Positive and negative volume components are separated and percentage-weighted over the impulse window to reveal dominant flow direction.
Intelligent Zone Merging : Overlapping zones of the same type automatically merge into broader reaction areas, with flow statistics blended proportionally.
Dynamic Extension and Visualization : Zones extend forward with gradient-filled composition segments showing buy versus sell flow proportions.
Breach Detection and Cleanup : Zones invalidate automatically when price closes beyond their boundaries, maintaining chart clarity.
Together, these elements form a continuously updating supply and demand framework anchored in order flow reality.
Interpretation
Delta Reaction Zones should be interpreted as flow-anchored supply and demand boundaries:
Support Zones (Green) : Form at cumulative delta lows, marking levels where selling exhaustion or buying accumulation occurred.
Resistance Zones (Red) : Establish at cumulative delta highs, identifying areas where buying exhaustion or selling distribution dominated.
Flow Composition Segments : Visual gradient within each zone reveals the buy/sell flow proportion during zone formation. The upper segment (red tint) represents negative (selling) flow percentage while the lower segment (green tint) represents positive (buying) flow percentage.
BUY FLOW / SELL FLOW / MIXED Labels : Indicate dominant flow character when one direction exceeds 60% of total impulse window activity.
Net Delta Statistics : Display cumulative flow totals (Δ) alongside percentage breakdowns for immediate context.
Zone Thickness : Reflects current volatility environment - wider zones in volatile conditions, tighter zones in calm markets.
Zone Merging : Multiple nearby pivots consolidate into broader reaction areas, weighted by their respective flow magnitudes.
Flow composition, volatility context, and delta magnitude outweigh isolated price reactions.
Signal Logic & Visual Cues
Delta Reaction Zones presents two primary interaction signals:
Support Reclaim (RC) : Green label appears when price crosses back above a support zone's midline after trading below it, suggesting renewed buying interest.
Resistance Re-enter (RE) : Red label displays when price crosses back below a resistance zone's midline after trading above it, indicating resumed selling pressure.
Alert generation covers zone creation and midline reclaim/re-entry events for systematic monitoring.
Strategy Integration
Delta Reaction Zones fits within order flow-informed and supply/demand trading approaches:
Flow-Anchored Entry Zones : Use zones as high-probability reaction areas where historical order flow imbalances occurred.
Composition-Based Bias : Favor trades aligning with dominant flow character - long setups near zones formed under buying dominance, short setups near selling-dominated zones.
Volatility-Aware Targeting : Expect wider reaction ranges when ATR expands zones, tighter ranges when ATR contracts them.
Merge-Informed Conviction : Broader merged zones represent multiple flow inflection points, potentially offering stronger support/resistance.
Midline Reclaim Validation : Use RC/RE signals as confirmation of zone respect rather than standalone entry triggers.
Multi-Timeframe Flow Context : Apply higher-timeframe delta zones to inform lower-timeframe entry precision.
Technical Implementation Details
Core Engine : Signed volume delta proxy with EMA smoothing
Accumulation Model : Persistent cumulative delta tracking with optional rate-of-change pivot detection
Zone Construction : ATR-scaled thickness around pivot anchors
Flow Analysis : Positive/negative decomposition over configurable impulse window
Visualization : Gradient-filled zones with embedded flow statistics and percentage segments
Signal Logic : Midline crossover detection with breach-based invalidation
Merge System : Proximity-based consolidation with weighted flow blending
Performance Profile : Optimized for real-time execution with configurable zone limits
Optimal Application Parameters
Timeframe Guidance:
1 - 5 min : Micro-structure flow zones for scalping and short-term reversals
15 - 60 min : Intraday supply/demand identification with flow context
4H - Daily : Swing-level reaction zones with macro flow characterization
Suggested Baseline Configuration:
Delta Smoothing Length : 3
Pivot Length : 12
Pivot Source : Cumulative Delta
Impulse Window : 100
ATR Length : 14
ATR Multiplier : 0.35 (reduce for lower timeframes)
Maximum Zones : 8
Merge Overlapping Zones : Enabled
Merge Gap : 20 ticks
These suggested parameters should be used as a baseline; their effectiveness depends on the asset's volume profile, tick structure, and preferred zone density, so fine-tuning is expected for optimal performance.
Parameter Calibration Notes
Use the following adjustments to refine behavior without altering the core logic:
Zones appearing oversized : Reduce ATR Multiplier to tighten zone thickness, especially on lower timeframes.
Excessive zone clutter : Increase Pivot Length to demand stronger delta extremes before zone creation.
Unstable delta readings : Increase Delta Smoothing Length to reduce bar-to-bar noise in flow calculation.
Missing significant levels : Decrease Pivot Length or switch Pivot Source to "Cumulative Delta RoC" for flow acceleration sensitivity.
Flow percentages feel stale : Reduce Impulse Window Length to emphasize more recent buying/selling composition.
Too many merged zones : Decrease Merge Gap (ticks) or disable merging to preserve individual pivot zones.
Adjustments should be incremental and evaluated across multiple session types rather than isolated market conditions.
Performance Characteristics
High Effectiveness:
Markets with consistent volume and order flow characteristics
Instruments where delta proxy correlates well with actual tape reading
Mean-reversion strategies targeting flow exhaustion zones
Trend continuation entries at zones aligned with dominant flow direction
Reduced Effectiveness:
Extremely low volume environments where delta proxy becomes unreliable
News-driven or gapped markets with discontinuous flow
Highly manipulated or illiquid instruments with erratic volume patterns
Integration Guidelines
Confluence : Combine with BOSWaves structure, market profile, or traditional supply/demand analysis
Flow Respect : Trust zones formed with strong net delta magnitude and clear flow dominance
Context Awareness : Consider whether current market regime matches zone formation conditions
Merge Recognition : Treat merged zones as higher-conviction areas due to multiple flow inflections
Breach Discipline : Exit zone-based setups cleanly when price invalidates boundaries
Disclaimer
Delta Reaction Zones is a professional-grade order flow and supply/demand analysis tool. It uses a volume-based delta proxy that estimates directional pressure but does not access true order book data. Results depend on market conditions, volume reliability, parameter selection, and disciplined execution. BOSWaves recommends deploying this indicator within a broader analytical framework that incorporates price structure, volatility context, and comprehensive risk management.
Cody Order Block Finder with RegressionThe Cody Order Block Finder with Regression Channel is a comprehensive trading tool that combines order block identification with linear regression analysis. This dual-approach indicator is designed to help traders identify potential institutional order flow zones within the context of established market trends, providing a structured methodology for trade entry and exit decisions.
Free Telegram Trading Community t.me
Order Block Detection System
Identifies potential institutional buying and selling zones based on specific candle patterns
Configurable detection parameters including required subsequent candles and minimum percentage moves
Three visual color schemes (Dark, Bright, Neon) for different chart backgrounds
Options to display order blocks using wick ranges or body ranges
Advanced filtering capabilities including size-based and ATR-based filters
Historical display controls with options to show all order blocks or only the most recent instances
Linear Regression Channel
Customizable regression length from 1 to 5000 periods
Upper and lower deviation channels with adjustable multipliers
Pearson's R correlation coefficient display for trend strength assessment
Flexible extension options for channel lines (left, right, both, or none)
Visual channel fills between regression lines for clear trend identification
Technical Specifications
Detection Logic
Bullish order blocks: Identified by a bearish candle followed by a specified number of consecutive bullish candles with minimum percentage movement
Bearish order blocks: Identified by a bullish candle followed by a specified number of consecutive bearish candles with minimum percentage movement
Size validation through configurable percentage thresholds
Optional ATR filtering for volatility-adjusted order block identification
Visual Elements
Triangle markers indicating order block locations above or below relevant candles
Extended lines marking order block boundaries with configurable right-side extension
Informative labels displaying order block size percentages
Dynamic trend labels based on regression slope analysis
Adjustable transparency and coloring for all visual elements
Alert System
Context-aware alerts that only trigger in confirmed trends
Buy alerts: Bullish order blocks detected during uptrends (positive regression slope)
Sell alerts: Bearish order blocks detected during downtrends (negative regression slope)
Customizable alert messages with trend context information
Performance Optimization
Maximum 500 lines and 500 labels for system resource management
Efficient array-based line management for historical display controls
Conditional calculations to reduce processing overhead
Application for Traders
This indicator serves multiple trading methodologies:
Trend-following traders can use regression channels for trend identification
Institutional flow traders can identify potential order block zones
Swing traders can locate high-probability reversal areas
Risk management through size and volatility filtering
The combination of order block detection with regression trend analysis provides traders with a comprehensive tool for identifying potential trade setups that align with both institutional activity and broader market trends. The extensive customization options allow adaptation to various trading styles and market conditions.
ICT Entry V1 [TS_Indie]📌 Description – ICT Entry V1
This trading system is based on price action, combined with FVG, iFVG, and liquidity, and it uses the mechanism from the indicator “Smallest Swing ” to validate swings that become liquidity.
⚙️ Core Logic & Working Mechanism
I won’t explain FVG in detail, as most traders are already familiar with it.
Let’s focus on the mechanism of iFVG instead.
The concept of iFVG is based on a supply-to-demand flip and a demand-to-supply flip within an FVG zone.
For an iFVG to be confirmed, the candle close must break through the FVG.
A wick alone does not count as a valid iFVG confirmation.
The confirmation of market structure swings uses a pivot length mechanism combined with price action.
It validates a swing by detecting a structure break formed by candles making new highs or new lows.
📈 Buy Setup
1.Liquidity sweep on the demand side, with price closing above the liquidity level.
2.A demand zone is formed as FVG and iFVG, where iFVG is located above FVG.
3.The gap between the upper box of FVG and the lower box of iFVG must be within the defined Min and Max range.
4.Market Structure must be in a Bullish trend.
5.Place a Pending Order at the upper box of FVG and set Stop Loss at the lower box of FVG (Entry and Stop Loss can be adjusted using Entry Zone and ATR-based Stop Loss).
📉 Sell Setup
1.Liquidity sweep on the supply side, with price closing below the liquidity level.
2.A supply zone is formed as FVG and iFVG, where iFVG is located below FVG.
3.The gap between the lower box of FVG and the upper box of iFVG must be within the defined Min and Max range.
4.Market Structure must be in a Bearish trend.
5.Place a Pending Order at the lower box of FVG and set Stop Loss at the upper box of FVG (Entry and Stop Loss can be adjusted using Entry Zone and ATR-based Stop Loss).
⚙️ Liquidity Sweep Conditions
➯ When a liquidity sweep occurs on the demand side, the system will start looking for Buy Setup conditions.
➯ When a liquidity sweep occurs on the supply side, the system will immediately switch to looking for Sell Setup conditions.
➯ The system will always prioritize the most recent liquidity sweep and search for setups based on that direction.
➯ The liquidity sweep condition will be invalidated when price closes back below (for demand sweep) or above (for supply sweep) the most recently swept liquidity level.
⭐ Pending Order Cancellation Conditions
A Pending Order will be canceled under the following conditions:
1.A new Price Action signal appears on either the Buy or Sell side.
2.When Time Session is enabled, the Pending Order is canceled once price exits the selected session.
🕹 Order Management Rule
When there is an active open position, the indicator restricts the creation of new Pending Orders to prevent overlapping positions.
⚠️ Disclaimer
This indicator is designed for educational and research purposes only. It does not guarantee profits and should not be considered financial advice. Trading in financial markets involves significant risk, including the potential loss of capital.
🥂 Community Sharing
If you find parameter settings that work well or produce strong statistical results, feel free to share them with the community so we can improve and develop this indicator together.
Smart Money Confluence Heatmap [PhenLabs]📊 Smart Money Confluence Heatmap
Version: Pine Script™ v6
📌 Description
The Smart Money Confluence Heatmap is a professional‑grade Smart Money Concepts indicator designed to identify high‑probability institutional trading zones. It merges multiple advanced market factors into a single confluence score, allowing traders to focus only on areas that matter. By synthesizing Fair Value Gaps, Order Blocks, Liquidity Sweeps, Volume Strength, and Market Structure, this script removes subjective bias and replaces it with data‑driven confirmation.
🚀 Points of Innovation
Unified confluence scoring system combining five institutional concepts
Adaptive ATR‑based zone sizing for volatility‑adjusted precision
Automatic trend and structure alignment scoring
Volume‑validated Order Blocks and Liquidity Sweeps
Probability‑ranked zones instead of static levels
🔧 Core Components
Fair Value Gap detection with imbalance strength scoring
Order Block identification confirmed by displacement and volume
Liquidity sweep analysis using wick depth and volume expansion
Volume strength modeling for accumulation and distribution phases
Market structure confirmation using BOS and directional bias
🔥 Key Features
Confluence heatmap zones graded by bullish and bearish probability
Minimum score filtering to remove low‑quality setups
Automatic risk‑to‑reward based TP and SL projections
Entry alerts when price taps validated institutional zones
🎨 Visualization
Color‑graded heatmap zones representing probability strength
Percentage score labels with component icons
On‑chart dashboard displaying market bias and structure state
✅ Best Use Cases
Liquidity sweep reversals at key structure levels
Trend‑aligned pullbacks into institutional zones
Intraday and swing trading using confluence confirmation
⚠️ Limitations
Not designed for low‑liquidity or extremely ranging markets
Confluence does not guarantee outcomes and requires risk management
💡 What Makes This Unique
Objective probability scoring instead of subjective SMC interpretation
Multi‑layer institutional confirmation in a single indicator
Built for traders who demand clarity, not chart clutter
💡 Note:
This indicator is for educational purposes only and should always be used alongside proper risk management and higher‑timeframe context.
