ICT Concept [TradingFinder] Order Block | FVG | Liquidity Sweeps๐ต Introduction
The "ICT" style is one of the subsets of "Price Action" technical analysis. ICT is a method created by "Michael Huddleston", a professional forex trader and experienced mentor. The acronym ICT stands for "Inner Circle Trader".
The main objective of the ICT trading strategy is to combine "Price Action" and the concept of "Smart Money" to identify optimal entry points into trades. However, finding suitable entry points is not the only strength of this approach. With the ICT style, traders can better understand price behavior and adapt their trading approach to market structure accordingly.
Numerous concepts are discussed in this style, but the key practical concepts for trading in financial markets include "Order Block," "Liquidity," and "FVG".
๐ต How to Use
๐ฃOrder Block
Order blocks are a specific type of "Supply and Demand" zones formed when a series of orders are placed in a block. These orders could be created by banks or other major players. Banks typically execute large orders in blocks during their trading sessions. If they were to enter the market directly with a small quantity, significant price movements would occur before the orders are fully executed, resulting in less profit. To avoid this, they divide their orders into smaller, manageable positions. Traders should look for "buy" opportunities in "demand order blocks" areas and "sell" opportunities in "supply order blocks".
๐ฃLiquidity
These levels are where traders aim to exit their trades. "Market Makers" or smart money usually collects or distributes their trading positions near levels where many retail traders have placed their "Stop Loss" orders. When the liquidity resulting from these losses is collected, the price often reverses direction.
A "Stop Hunt" is a move designed to neutralize liquidity generated by triggered stop losses. Banks often use significant news events to trigger stop hunts and acquire the liquidity released in the market. If, for example, they intend to execute heavy buy orders, they encourage others to sell through stop hunts.
As a result, if there is liquidity in the market before reaching the order block region, the credibility of that order block is higher. Conversely, if liquidity is near the order block, meaning the price reaches the order block before reaching the liquidity area, the credibility of that order block is lower.
๐ฃFVG (Fair Value Gap)
To identify the "Fair Value Gap" on the chart, one must analyze candle by candle. Focus on candles with large bodies, examining one candle and the one before it. The candles before and after this central candle should have long shadows, and their bodies should not overlap with the body of the central candle. The distance between the shadows of the first and third candles is called the FVG range.
These zone function in two ways :
โขSupply and Demand zone: In this case, the price reacts to these zone, and its trend reverses.
โขLiquidity zone: In this scenario, the price "fills" the zone and then reaches the order block.
Important Note: In most cases, FVG zone with very small width act as supply and demand zone, while zone with a significant width act as liquidity zone, absorbing the price.
๐ต Setting
๐ฃOrder Block
Refine Order Block : When the option for refining order blocks is Off, the supply and demand zones encompass the entire length of the order block (from Low to High) in their standard state and remain unaltered. On the option for refining order blocks triggers the improvement of supply and demand zones using the error correction algorithm.
Refine Type : The enhancement of order blocks via the error correction algorithm can be executed through two methods: Defensive and Aggressive. In the Aggressive approach, the widest possible range is taken into account for order blocks.
Show High Levels : If major high levels are to be displayed, set the option for showing high level to Yes.
Show Low Levels : If major low levels are to be displayed, set the option for showing low level to Yes.
Show Last Support : If showing the last support is desired, set the option for showing last support to Yes.
Show Last Resistance : If showing the last resistance is desired, set the option for showing last resistance to Yes.
๐ฃ FVG
FVG Filter : When FVG filtering is activated, the number of FVG areas undergoes filtration based on the specified algorithm.
FVG Filter Types :
1. Very Aggressive : Apart from the initial condition, an additional condition is introduced. For an upward FVG, the maximum price of the last candle should exceed the maximum price of the middle candle. Similarly, for a downward FVG, the minimum price of the last candle should be lower than the minimum price of the middle candle. This mode eliminates a minimal number of FVGs.
2. Aggressive : In addition to the conditions of the Very Aggressive mode, this mode considers the size of the middle candle; it should not be small. Consequently, a larger number of FVGs are eliminated in this mode.
3. Defensive : Alongside the conditions of the Very Aggressive mode, this mode takes into account the size of the middle candle, which should be relatively large with the majority of it comprising the body. Furthermore, to identify upward FVGs, the second and third candles must be positive, whereas for downward FVGs, the second and third candles must be negative. This mode filters out a considerable number of FVGs, retaining only those of suitable quality.
4. Very Defensive : In addition to the conditions of the Defensive mode, the first and third candles should not be very small-bodied doji candles. This mode filters out the majority of FVGs, leaving only the highest quality ones. Show Demand FVG: Enables the display of demand-related boxes, which can be toggled between off and on. Show Supply FVG: Enables the display of supply-related boxes along the path, which can also be toggled between off and on.
๐ฃ Liquidity
Statics Liquidity Line Sensitivity : A value ranging from 0 to 0.4. Increasing this value reduces the sensitivity of the "Statics Liquidity Line Detection" function and increases the number of identified lines. The default value is 0.3.
Dynamics Liquidity Line Sensitivity : A value ranging from 0.4 to 1.95. Increasing this value enhances the sensitivity of the "Dynamics Liquidity Line Detection" function and decreases the number of identified lines. The default value is 1.
Statics Period Pivot : Default value is set to 8. By adjusting this value, you can specify the period for static liquidity line pivots.
Dynamics Period Pivot : Default value is set to 3. By adjusting this value, you can specify the period for dynamic liquidity line pivots.
You can activate or deactivate liquidity lines as necessary using the buttons labeled "Show Statics High Liquidity Line," "Show Statics Low Liquidity Line," "Show Dynamics High Liquidity Line," and "Show Dynamics Low Liquidity Line".
Cari skrip untuk "smart"
ICT Killzones Toolkit [LuxAlgo]The ICT Killzones Toolkit is a comprehensive set of tools designed to assist traders in identifying key trading zones and patterns within the market.
The ICT Killzones Toolkit includes the following Price Action components:
ICT Killzones with Pivot Highs/Lows
Order Blocks
Breaker Blocks
Fair Value Gaps
Market Structure Shifts
By combining these components, the ICT Killzones Toolkit provides traders with a comprehensive framework for analyzing the market and identifying setups of interest. Leveraging these tools effectively can enhance traders' decision-making process and improve killzones interpretability.
๐ถ USAGE
In forex/futures trading, timing is crucial. ICT Killzone are specific periods when there's a higher chance of finding setups of interest. Mastering these time intervals can offer significant advantages to traders who know how to use them effectively.
The image above highlights a potential setup of interest when using the ICT Killzones Toolkit.
As another example for utilizing the ICT Killzones Toolkit, we can see in the image above when price retests setups generated from killzones such as Order Blocks or Fair Value Gaps, a potential strategy could be to look for entries on those & take profits as the next killzone appears.
๐น Order Blocks
Order Blocks are sections on a price chart where notable buying or selling activity has occured, often signaling interest zones for institutional traders. This toolkit's Order Blocks component pinpoints these areas within the Killzone, which may act as potential support or resistance levels.
๐น Breaker Blocks
Breaker Blocks are zones built from mitigated order blocks, and highlight zones on the chart where price has previously stalled or reversed. These areas may act as significant barriers to price movement in the future, and the Breaker Blocks component helps traders identify them for potential trading opportunities.
๐น Fair Value Gaps
Fair value gaps are especially favored by price action traders and arise from market inefficiencies or imbalances, typically when buying and selling are unequal. These gaps often attract price movement before resuming in the same direction. the Fair Value Gaps component of the toolkit helps traders identify and analyze them.
๐น Market Structure Shifts
Market Structure Shifts refer to significant changes in the overall structure of the market, such as shifts in trend direction, volatility, or trading activity. These shifts can provide valuable insights into market sentiment and potential trading opportunities, and the Market Structure Shifts component helps traders identify and interpret them.
Overall, the ICT Killzone Toolkit combines these components to provide traders with a comprehensive framework for analyzing the markets and identifying high-probability trading setups.
๐ถ SETTINGS
๐น ICT Killzones
Asian, London Open, New York, and London Close: toggles the visibility of specific Killzones, allowing users to customize time periods and Killzone colors.
Killzone Lines : Top/Bottom, Mean and Extend Top/Bottom: toggles the visibility of the Killzone's pivot high and low lines, mean (average) line, and allows users to extend the pivot lines.
Killzone Labels: Toggles the visibility of the Killzone labels.
Display Killzones within Timeframes Up To: Toggles the visibility of the Killzones up to selected Timeframes.
Open Price, Separator, Label, and Color: toggles the visibility of the open price of the Killzones or for the day, week, or month. If the day, week, or month is selected, a separator will be displayed to highlight the beginning of each respective period. Additionally, users can customize the color and toggle the label as needed.
๐น Order Blocks & Breaker Blocks
Order Blocks | Breaker Blocks: toggles the visibility of the order blocks & breaker blocks.
Swing Detection Length: lookback period used for the detection of the swing points used to create order blocks & breaker blocks.
Mitigation Price: allows users to select between closing price or wick of the candle.
Use Candle Body in Detection: allows users to use candle bodies as order block areas instead of the full candle range.
Remove Mitigated Order Blocks & Breaker Blocks: toggles the visibility of the mitigated order blocks & breaker blocks.
Extend Order Blocks & Breaker Blocks: enables processing of the order blocks & breaker blocks beyond the boundaries of the killzones.
Display Order Blocks & Breaker Blocks: enables the display of the first, last, or all occurrences of the order blocks & breaker blocks.
Order Blocks : Bullish, Bearish Color: color customization option for order blocks.
Breaker Blocks : Bullish, Bearish Color: color customization option for breaker blocks.
Show Order Blocks & Breaker Blocks Text: toggles the visibility of the order blocks & breaker blocks labels.
๐น Market Structure Shifts
Market Structure Shifts: toggles the visibility of the market structure shifts.
Detection Length: market structure shift detection length.
Display Market Structure Shifts: enables the display of the first, last, or all occurrences of the market structure shifts.
Market Structure Shifts : Bullish, Bearish Color: color custumization option for market structure shifts.
Show Market Structure Shifts Text: toggles the visibility of the market structure shifts labels.
๐น Fair Value Gaps
Fair Value Gaps: toggles the visibility of the fair value gaps.
Fair Value Gap Width Filter: filtering threshold wile detecting fair value gaps.
Remove Mitigated Fair Value Gaps: removes mitigated fair value gaps.
Extend Fair Value Gaps: enables processing of the fair value gaps beyond the boundaries of the killzones.
Display Fair Value Gaps: enables the display of the first, last, or all occurrences of the fair value gaps.
Bullish Imbalance Color: color customization option.
Bearish Imbalance Color: color customization option.
Show Fair Value Gaps Text: toggles the visibility of the fair value gaps labels.
๐ถ RELATED SCRIPTS
Smart-Money-Concepts
Order-Blocks-Breaker-Blocks
Thanks to our community for recommending this script. For more conceptual scripts and related content, we welcome you to explore by visiting >>> LuxAlgo-Scripts .
PHEN ATLAS - Market Map & Playbook [PhenLabs]๐ PHEN ATLAS ๐ #50 ๐
Version: PineScriptโข v6
๐ 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.
๐ 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 modesโClean, Pro, and Sniperโallowing users to toggle between deep analysis and clutter-free execution instantly.
๐ง 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.
๐ฅ 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.
๐จ 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.
๐ 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.
โ
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.
โ ๏ธ 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.
๐ก 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.
๐ฌ 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.
๐ Message From The Team ๐
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. ๐
๐ก 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.
Volume Edge Pro[wjdtks255]Volume Edge Pro: Indicator Description
Volume Edge Pro is an advanced volume analysis tool designed to identify institutional accumulation and significant supply levels. Unlike standard volume bars, this indicator categorizes trading volume into four distinct types based on price action and historical comparisons, helping traders spot high-probability breakout opportunities.
Key Components:
Blue Bars (PPV - Pocket Pivot Volume): Indicates institutional accumulation. It appears when up-day volume exceeds the highest down-day volume of the last 10 trading sessions.
Green Bars (RGV - Recent Green Volume): Represents strong buying pressure where up-day volume is higher than the 50-period moving average.
Red Bars (RRV - Recent Red Volume): Signifies heavy supply or selling pressure where down-day volume is higher than the 50-period moving average.
Grey Bars: Represents standard market volume without significant institutional involvement.
Trading Strategy (How to Trade)
1. Identifying Accumulation (The Base)
Look for multiple Blue Bars (PPV) during a consolidation phase or within a "base." This suggests that "Smart Money" is quietly accumulating shares without significantly driving up the price yet.
2. The Buy Signal
The ideal entry point is when the price breaks out of a consolidation resistance level, especially when the breakout is confirmed by a Blue (PPV) or Green (RGV) bar. The presence of PPV signals within the base increases the reliability of the breakout.
3. Overcoming Supply (The RRV Rule)
When a Red Bar (RRV) appears, it marks a level of "unconsumed supply."
Treat the high of the RRV candle as a resistance level.
A bullish reversal or continuation is confirmed only when the price reclaims the high of the RRV day or when subsequent PPVs/RGVs overwhelm the previous selling volume.
4. Risk Management
If a massive Red Bar (RRV) appears after a long uptrend and the price breaks below the prior support, it may indicate institutional distribution (selling), signaling a time to exit or tighten stop-losses.
Quant-Action Pro: Triple Confluence EngineQuant-Action Pro: Triple Confluence Engine
Systematic Framework for Structural Price Action Analysis
Quant-Action Pro is a high-performance analytical engine designed to synchronize institutional liquidity flow with market geometry. Instead of traditional "signals," this framework identifies Structural States where three independent algorithmic layers align, providing a objective roadmap for the current price action context.
1. Core Algorithmic Matrix
The engine operates by monitoring the interaction between price and three proprietary logic layers:
A. Institutional Flow Node (SP2L) โ
Logic: Monitors "Passive Liquidity Absorption" at the 20-period EMA.
Function: Identifies zones where institutional buyers/sellers are defending the trend's equilibrium. This is not a simple touch; it requires a validated "Touch-and-Hold" sequence.
B. Structural Flip Scanner (BTB) โ
Logic: Detects the transition from old supply to new demand (S/R Flip).
Function: Uses a 3-phase Break-Test-Break verification to confirm that a structural breakout is backed by volume, reducing the risk of "Fake-outs."
C. Liquidity Compression Monitor (Micro Map) โ
Logic: Statistical range-contraction analysis (Volatility Squeeze).
Function: Signals a High-Density State where price is coiling for an expansion move.
2. The Golden State: Triple Confluence Logic
The GOLD label represents the "Apex" of this engine. It is triggered only when the SP2L, BTB, and Micro Map layers synchronize on a single candle. In structural terms, this means:
Trend Defense (SP2L) is active.
Structural Breakout (BTB) is confirmed.
Volatility Expansion (MM) is imminent.
This Triple-Layer filtering ensures that Golden Signals only appear during periods of maximum market conviction.
3. Professional Implementation (Structural View)
MTF Trend Matrix: A built-in dashboard provides a 1H, 4H, and 1D diagnosis to ensure local setups align with the Macro Trend.
Smart Invalidation (Adaptive Trendlines): The engine draws dynamic geometry to define the current "Structural Floor/Ceiling." A decisive close beyond these lines acts as a clear Invalidation Point for the current thesis.
Mean Reversion: The system uses the 200-EMA as the primary directional filter, defining whether the market is in a "Bullish Expansion" or "Bearish Correction" state.
โ ๏ธ Risk Disclaimer
Trading financial instruments involves significant risk. Quant-Action Pro is an educational tool designed for research and structural analysis. It does not provide financial advice. Past performance is not indicative of future results. Always use strict risk management.
CVD & Big Trade Detector By HKOverview The CVD & Big Trade Detector By HK offers a unique perspective on Cumulative Volume Delta (CVD). This indicator utilizes Floating Bars (Candles) to visualize the cumulative buying and selling pressure. This design allows you to clearly see the net delta of each specific candle relative to the cumulative trend.
Additionally, it integrates the "Big Trade" algorithm to highlight statistically significant volume anomalies (Whale activity) directly on the CVD bars.
How it Works Since standard volume data does not always provide buy/sell splitting, this script estimates intrabar pressure using price action logic:
Buying Pressure: Calculated based on the push from the Low to the Close.
Selling Pressure: Calculated based on the push from the High to the Close.
The indicator then calculates the Delta (Buy Vol - Sell Vol) and accumulates it.
Floating Bars: Instead of plotting from the zero-line, each bar opens at the previous CVD value and closes at the new cumulative value.
Teal/Green Bar: Net buying in the current period (CVD increased).
Maroon/Red Bar: Net selling in the current period (CVD decreased).
Key Features
Floating CVD Structure: Prevents the "barcode effect" common in histogram CVDs. It provides a clean, candle-like view of momentum accumulation.
Whale Detection:
The script calculates the moving average and standard deviation (Sigma) of the buying/selling volume.
Green Dots: Appear when buying volume exceeds the statistical threshold (Signifying a "Big Buy").
Red Dots: Appear when selling volume exceeds the statistical threshold (Signifying a "Big Sell").
Precise Positioning: Whale markers are plotted exactly at the closing value of the CVD bar, showing you exactly where the volume spike impacted the delta.
How to Use
Divergences: Look for situations where Price makes a Higher High, but the CVD Bars fail to make a new high (bearish divergence).
Absorption: If you see a Large Whale Dot on a very small CVD bar (doji-like), it indicates massive volume fighting for direction with little net resultโoften a sign of absorption or a pending reversal.
Trend Confirmation: Strong floating bars in the direction of the trend, accompanied by Whale Dots, confirm smart money participation.
Settings
Lookback Period: Defines the baseline for the statistical volume calculation (default: 50).
Sensitivity (Sigma): Adjusts how strict the "Whale" detection is (default: 3.0). Higher values = fewer, more significant signals.
Colors: Fully customizable colors for Up/Down bars and Buy/Sell markers.
Built with Pine Scriptโข v6
Big Trades Whale Detector [Volume Anomalies] By HKOverview The "Big Trade Detector" helps you spot institutional footprints by identifying volume anomalies that act as outliers compared to recent history. It uses statistical analysis (Standard Deviation) to filter out noise and highlight only significant buying or selling pressure.
Features:
Volume Decomposition: Approximates buy/sell volume based on price action within the candle (Close vs. Range).
3-Tier Detection: Uses dynamic thresholds to categorize volume spikes into Small, Medium, and Extreme events.
Smart Calculation: Compares current volume against the previous average to detect sudden shifts in momentum.
Visuals:
Green Circles (Below Bar): Unusual Buying Pressure (Support defense or Breakout).
Red Circles (Above Bar): Unusual Selling Pressure (Resistance defense or Dump).
Size Matters: The larger the circle, the higher the standard deviation (Sigma) of that volume event.
Fractal Fade Pro IndicatorA revolutionary contrarian trading indicator that applies chaos theory, fractal mathematics, and market entropy to generate high-probability reverse signals. This indicator fades traditional technical signals, providing BUY signals when conventional indicators say SELL, and SELL signals when they say BUY.
Full Description:
Most traders follow the herd. QFCI does the opposite. It identifies when conventional technical analysis is about to fail by detecting mathematical patterns of exhaustion in market structure.
How It Works (Technical Overview):
The indicator combines three sophisticated mathematical approaches:
Fractal Dimension Analysis: Measures the "roughness" of price movements using fractal mathematics
Market Entropy Calculation: Quantifies the randomness and disorder in price returns using information theory
Phase Space Reconstruction: Analyzes price evolution in multi-dimensional state space from chaos theory
Signal Generation Process:
Step 1: Market Regime Detection
Chaotic Regime: High fractal complexity + rising entropy (avoid trading)
Trending Regime: Low fractal complexity + high phase space distance (fade breakouts)
Mean-Reverting Regime: Very low fractal complexity (fade extremes)
Step 2: Reverse Signal Logic
When traditional indicators would give:
BUY signal (breakout, oversold bounce, volatility spike) โ QFCI shows SELL
SELL signal (breakdown, overbought rejection, volatility crash) โ QFCI shows BUY
Step 3: Smart Signal Filtering
No consecutive same-direction signals
Adjustable minimum bars between signals
Multiple confirmation layers required
Unique Features:
1. Mathematical Innovation:
Original fractal dimension algorithm (not standard indicators)
Market entropy calculation from information theory
Phase space reconstruction from chaos theory
Multi-regime adaptive logic
2. Trading Psychology Advantage:
Contrarian by design - profits from market overreactions
Fades retail trader mistakes - enters when others are exiting
Reduces overtrading - strict signal frequency controls
3. Clean Visual Interface:
Only BUY/SELL labels - no chart clutter
Clear directional arrows - immediate signal recognition
Built-in alerts - never miss a trade
Recommended Settings:
Default (Balanced Approach):
Fractal Depth: 20
Entropy Period: 200
Min Bars Between Signals: 100
Aggressive Trading:
Fractal Depth: 10-15
Entropy Period: 100-150
Min Bars Between Signals: 50-75
Conservative Trading:
Fractal Depth: 30-40
Entropy Period: 300-400
Min Bars Between Signals: 150-200
Optimal Timeframes:
Primary: Daily, Weekly (best performance)
Secondary: 4-Hour, 12-Hour
Can work on: 1-Hour (with adjusted parameters)
How to Use:
For Beginners:
Apply indicator to chart
Use default settings
Wait for BUY/SELL labels
Enter on next candle open
Use 2:1 risk/reward ratio
Always use stop losses
For Advanced Traders:
Adjust parameters for your trading style
Combine with support/resistance levels
Use volume confirmation
Scale in/out of positions
Track performance by regime
Risk Management Guidelines:
Position Sizing:
Conservative: 1-2% risk per trade
Moderate: 2-3% risk per trade
Aggressive: 3-5% risk per trade (not recommended)
Stop Loss Placement:
BUY signals: Below recent swing low or -2x ATR
SELL signals: Above recent swing high or +2x ATR
Take Profit Targets:
Primary: 2x risk (minimum)
Secondary: Previous support/resistance
Tertiary: Trailing stops after 1.5x risk
IMPORTANT RISK DISCLOSURE
This indicator is for educational and informational purposes only. It is not financial advice. Past performance does not guarantee future results. Trading involves substantial risk of loss and is not suitable for every investor. The risk of loss in trading can be substantial. You should therefore carefully consider whether such trading is suitable for you in light of your financial condition.
SMC Statistical Liquidity Walls [PhenLabs]๐ SMC Statistical Liquidity Walls
Version: PineScriptโข v6
๐ Description
The SMC Statistical Liquidity Walls indicator is designed to visualize market volatility and potential reversal zones using advanced statistical modeling. Unlike traditional Bollinger Bands that use simple lines, this script utilizes an โInverted Sigmoidโ opacity function to create a โfog of warโ effect. This visualizes the density of liquidity: the further price moves from the equilibrium (mean), the โharderโ the liquidity wall becomes.
This tool solves the problem of over-trading in low-probability areas. By automatically mapping โPremiumโ (Resistance) and โDiscountโ (Support) zones based on Standard Deviation (SD), traders can instantly see when price is overextended. The result is a clean, intuitive overlay that helps you identify high-probability mean reversion setups without cluttering your chart with manual drawings.
๐ Points of Innovation
Inverted Sigmoid Logic: A custom mathematical function maps Standard Deviation to opacity, creating a realistic โwallโ density effect rather than linear gradients.
Dynamic โSolidityโ: The indicator is transparent at the center (Equilibrium) and becomes visually solid at the edges, mimicking physical resistance.
Separated Directional Bias: distinct Red (Premium) and Green (Discount) coding helps SMC traders instantly recognize expensive vs. cheap pricing.
Smart โSafeโ Deviation: Includes fallback logic to handle calculation errors if deviation hits zero, ensuring the indicator never crashes during data gaps.
๐ง Core Components
Basis Calculation: Uses a Simple Moving Average (SMA) to determine the marketโs equilibrium point.
Standard Deviation Zones: Calculates 1SD, 2SD, and 3SD levels to define the statistical extremes of price action.
Sigmoid Alpha Calculation: Converts the SD distance into a transparency value (0-100) to drive the visual gradient.
๐ฅ Key Features
Automated Premium/Discount Zones: Red zones indicate overbought (Premium) areas; Green zones indicate oversold (Discount) areas.
Customizable Density: Users can adjust the โSteepnessโ and โMidpointโ of the sigmoid curve to control how fast the walls become solid.
Integrated Alerts: Built-in alert conditions trigger when price hits the โSolidโ wall (2SD or higher), perfect for automated trading or notifications.
Visual Clarity: The center of the chart remains clear (high transparency) to keep focus on price action where it matters most.
๐จ Visualization
Equilibrium Line: A gray line representing the mean price.
Gradient Fills: The space between bands fills with color that increases in opacity as it moves outward.
Premium Wall: Upper zones fade from transparent red to solid red.
Discount Wall: Lower zones fade from transparent green to solid green.
๐ Usage Guidelines
Range Period: Default 20. Controls the lookback period for the SMA and Standard Deviation calculation.
Source: Default Close. The price data used for calculations.
Center Transparency: Default 100 (Clear). Controls how transparent the middle of the chart is.
Edge Transparency: Default 45 (Solid). Controls the opacity of the outermost liquidity wall.
Wall Steepness: Default 2.5. Adjusts how aggressively the gradient transitions from clear to solid.
Wall Start Point: Default 1.5 SD. The deviation level where the gradient shift begins to accelerate.
โ
Best Use Cases
Mean Reversion Trading: Enter trades when price hits the solid 2SD or 3SD wall and shows rejection wicks.
Take Profit Targets: Use the Equilibrium (Gray Line) as a logical first target for reversal trades.
Trend Filtering: Do not initiate new long positions when price is deep inside the Red (Premium) wall.
โ ๏ธ Limitations
Lagging Nature: As a statistical tool based on Moving Averages, the walls react to past price data and may lag during sudden volatility spikes.
Trending Markets: In strong parabolic trends, price can โrideโ the bands for extended periods; mean reversion should be used with caution in these conditions.
๐ก What Makes This Unique
Physics-Based Visualization: We treat liquidity as a physical barrier that gets denser the deeper you push, rather than just a static line on a chart.
๐ฌ How It Works
Step 1: The script calculates the mean (SMA) and the Standard Deviation (SD) of the source price.
Step 2: It defines three zones above and below the mean (1SD, 2SD, 3SD).
Step 3: The custom `get_inverted_sigmoid` function calculates an Alpha (transparency) value based on the SD distance.
Step 4: Plot fills are colored dynamically, creating a seamless gradient that hardens at the extremes to visualize the โLiquidity Wall.โ
๐ก Note
For best results, combine this indicator with Price Action confirmation (such as pin bars or engulfing candles) when price touches the solid walls.
The 'Qualified' POI Scorer [PhenLabs]๐ The โQualifiedโ POI Scorer (Q-POI)
Version: PineScriptโข v6
๐ Description
The โQualifiedโ POI Scorer helps intermediate traders overcome "analysis paralysis" by filtering Smart Money Concepts (SMC) structures based on their probability. Instead of flooding your chart with every possible Order Block, this script assigns a proprietary โQuality Scoreโ (0-100) to each zone. It analyzes the strength of the displacement, the presence of imbalances (FVG), and liquidity mechanics to determine which zones are worth your attention. It is designed to clean up your charts and enforce discipline by visually fading out low-quality setups.
๐ Points of Innovation
Dynamic โGlass UIโ Transparency that automatically fades weak zones based on their score.
Proprietary Scoring Algorithm (0-100) based on three distinct institutional factors.
Visual Icon System that prints analytical context (๐งโ ๐/๐โ๐งฑ) directly on the chart.
Automated Mitigation Tracking that changes the visual state of zones after they are tested.
Displacement Velocity calculation using ATR to verify institutional intent.
๐ง Core Components
Liquidity Sweep Engine: Detects if a pivot point grabbed liquidity from the previous X bars before reversing.
FVG Validator: Checks if the move away from the zone created a valid Fair Value Gap.
Momentum Scorer: Calculates the size of the displacement candle relative to the Average True Range (ATR).
๐ฅ Key Features
Quality Filtering: Automatically hides or dims zones that score below 50 (user configurable).
State Management: Zones turn grey when mitigated and delete themselves when invalidated.
Visual Scorecard: Displays the exact numeric score on the zone for quick decision-making.
Time-Decay Logic: Keeps the chart clean by managing the lifespan of old zones.
๐จ Visualization
High Score Zones (80-100): Display as bright, semi-solid boxes indicating high probability.
Medium Score Zones (50-79): Display as translucent โglassโ boxes.
Low Score Zones (<50): Display as faint โghostโ boxes or are completely hidden.
Rocket Icon (๐): Indicates high momentum displacement.
Snail Icon (๐): Indicates low momentum displacement.
Drop Icon (๐ง): Indicates the zone swept liquidity.
Brick Icon (๐งฑ): Indicates the zone is supported by an FVG.
๐ Usage Guidelines
Swing Structure Length (Default: 5): Controls the sensitivity of the pivot detection; lower numbers create more zones, higher numbers find major swing points.
ATR Length (Default: 14): Determines the lookback period for calculating relative momentum.
Minimum Quality Score (Default: 50): The threshold for which zones are considered โvalidโ enough to be fully visible.
Bullish/Bearish Colors: Fully customizable colors that adapt their own transparency based on the score.
Show Weak Zones (Default: False): Toggles the visibility of zones that failed the quality check.
โ
Best Use Cases
Filtering noise during high-volatility sessions by focusing only on Score 80+ zones.
Confirming trend continuation entries by looking for the Rocket (๐) momentum icon.
Avoiding โstaleโ zones by ignoring any box that has turned grey (Mitigated).
โ ๏ธ Limitations
The indicator is reactive to closed candles and cannot predict news-driven spikes.
Scoring is based on technical structure and does not account for fundamental drivers.
In extremely choppy markets, the ATR filter may produce lower scores due to lack of displacement.
๐ก What Makes This Unique
It transforms subjective SMC analysis into an objective, quantifiable score.
The visual hierarchy allows traders to assess chart quality in milliseconds without reading data.
It integrates three separate SMC concepts (Liquidity, Imbalance, Structure) into a single tool.
๐ฌ How It Works
Step 1: The script identifies a Swing High or Low based on your length input.
Step 2: It looks backward to see if that swing swept liquidity, and looks forward to check for an FVG and displacement.
Step 3: It calculates a weighted score (30pts for Sweep, 30pts for FVG, 40pts for Momentum).
Step 4: It draws the zone with a transparency level designated by the score and appends the relevant icons.
๐ก Note:
For the best results, use this indicator on the timeframe you execute trades on (e.g., 15m or 1h). Do not use it to find entries on the 1m chart if your analysis is based on the 4h chart.
TMB Invest - Smart Money Concept StrategyEnglish:
**Quick Overview**
The "TMB_SMC_Strategy_v1.1.3" combines a classic trend filter using two EMAs with contrarian RSI entries and simple SMC elements (Fair Value Gaps & Order Blocks). Stop-loss and take-profit orders are volatility-adaptive and controlled via the ATR. An integrated dashboard displays the setup status, stop-loss/take-profit levels, entry reference, and trend, RSI, and ATR values.
---
## Operating Principle
1. **Trend Filter:** A fast EMA (default 50) is compared to a slow EMA (default 200). Trading occurs only in the direction of the trend: long in uptrends, short in downtrends.
2. **Timing via RSI:** Contrarian entries within the trend. Go long when the RSI is below a buy level (default 40); Short when the RSI is above a sell level (standard 60).
3. **Structure Check (SMC Proxy):** An "FVG Touch" serves as additional confirmation that an inefficient price zone has been tested. Order blocks are visualized for guidance but are not a direct entry trigger.
4. **Risk Management via ATR:** Stop-loss and take-profit levels are set as multipliers of the current ATR (e.g., SL = 1รATR, TP = 2รATR). This allows target and risk distances to adjust to market volatility.
5. **Simple Position Logic:** Only one position is held at a time (no pyramiding). After entry, stop and limit orders (bracket exit) are automatically placed.
---
## Input Values
* **EMA Fast / EMA Slow:** Lengths of the moving averages for the trend filter.
* **RSI Length / Levels:** Length of the RSI as well as buy and sell thresholds (contra signals within the trend direction).
* **Take Profit (RR) / Stop Loss (RR):** ATR multipliers for TP and SL.
* **Show FVGs & Order Blocks:** Toggles the visual SMC elements (zones/boxes) on or off.
--
## Signals & Execution
* **Long Setup:** Uptrend (fast EMA above slow EMA) **and** RSI below the buy level **and** a current FVG signal in a bullish direction.
* **Short Setup:** Downtrend (fast EMA below slow EMA) **and** RSI above the sell level **and** a current FVG touch in a bearish direction.
* **Entry & Exit:** If the setup is met, the market is entered; stop-loss/take-profit orders are placed immediately according to ATR multiples.
--
## Visualization
* **EMAs:** The fast and slow EMAs are plotted to illustrate the trend.
* **FVGs:** Fair Value Gaps are drawn as semi-transparent boxes in the trend color and projected slightly into the future.
* **Order Blocks:** Potential order block zones from the previous candle are visually highlighted (for informational purposes only).
---
## Integrated Dashboard
A compact table dashboard (bottom left) displays:
* Current **Setup Status** (Long/Short active, Long/Short ready, No Setup),
* **Stop-Loss**, **Take-Profit**, and **Entry Reference**,
* **Trend Status** (Bull/Bear/Sideways),
* **RSI Value**, and **ATR Value**.
Active long/short positions are highlighted in color (green/red).
--
## Practical Guide
1. **Place on Chart** and select the desired timeframe.
2. **Calibrate Parameters** (EMA lengths, RSI levels, ATR multipliers) to match the market and timeframe.
3. **Backtest** across different market phases; prioritize robustness over maximum curve fit.
4. **Fine-Tuning:**
* Shorter EMAs are often useful intraday (e.g., 20/100 or 34/144).
* Adjust RSI levels to market characteristics (45/55 for aggressive trading, 30/70 for conservative trading).
* Increase or decrease ATR multipliers depending on volatility/trading style.
--
## Notes, Limitations & Extensions
* **FVG Definition:** The FVG detection used here is intentionally simplified. Those who prefer a more rigorous approach can switch to a 3-candle definition and fill levels.
* **Order Blocks:** These primarily serve as a guide. Integration into entry/exit logic (e.g., retests) is possible as an extension.
* **Backtest Realism:** Fills may differ from the displayed closing price. For greater accuracy, intrabar backtests or an entry indicator based on the average position price are conceivable.
* **Alerts:** Currently, no alert conditions are defined; these can be added for long/short setups and status messages.
* **Position Management:** By default, no scaling is performed. Partial sales, trailing stops, or multiple entries can be added.
---
## Purpose & Benefits
The strategy offers a clear, modular framework: trend filter (direction), RSI contra timing (entry), SMC proxy via FVG Touch (structure), and ATR-based exits (risk adaptation). This makes it robust, easy to understand, and highly extensibleโboth for discretionary traders who appreciate visual SMC elements and for systematic testers who prefer a clean, parameterizable foundation.
SMC Analysis - Fair Value Gaps (Enhanced)SMC Analysis - Fair Value Gaps (Enhanced) Script Summary
Overview
The "SMC Analysis - Fair Value Gaps (Enhanced)" script, written in Pine Script (version 6), is a technical analysis indicator designed for TradingView to identify and visualize Fair Value Gaps (FVGs) on a price chart. It supports both the main timeframe and multiple higher timeframes (MTF) for comprehensive market analysis. FVGs are price gaps formed by a three-candle pattern, indicating potential areas of market inefficiency where price may return to fill the gap.
Key Features
FVG Detection:
Identifies bullish FVGs: Occur when the high of a candle two bars prior is lower than the low of the current candle, with the middle candle being bullish (close > open).
Identifies bearish FVGs: Occur when the low of a candle two bars prior is higher than the high of the current candle, with the middle candle being bearish (close < open).
Visualizes FVGs as colored boxes on the chart (green for bullish, red for bearish).
Mitigation Tracking:
Tracks when FVGs are touched (price overlaps the gap range) or mitigated (price fully closes the gap).
Strict Mode: Marks an FVG as mitigated when price touches the gap range.
Normal Mode: Requires a full breakthrough (price crossing the gapโs bottom for bullish FVGs or top for bearish FVGs) for mitigation.
Optionally converts FVG box borders to dashed lines and increases transparency when partially touched.
Multi-Timeframe (MTF) Support:
Analyzes FVGs on three user-defined higher timeframes (default: 15m, 60m, 240m).
Displays MTF FVGs with distinct labels and slightly more transparent colors.
Ensures no duplicate processing of MTF bars to maintain performance.
Customization Options:
FVG Length: Adjustable duration for how long FVGs are displayed (default: 20 bars).
Show/Hide FVGs: Toggle visibility for main timeframe and each MTF.
Color Customization: User-defined colors for bullish and bearish FVGs (default: green and red).
Display Options: Toggle for showing dashed lines after partial touches and strict mitigation mode.
Performance Optimization:
Limits the number of displayed boxes (50 for main timeframe, 20 per MTF) to prevent performance issues.
Automatically removes older boxes to maintain a clean chart.
Functionality
Visualization: Draws boxes around detected FVGs, with customizable colors and text labels ("FVG" for main timeframe, "FVG " for MTF).
Dynamic Updates: Extends or terminates FVG boxes based on mitigation status and user settings.
Efficient Storage: Uses arrays to manage FVG data (boxes, tops, bottoms, indices, mitigation status, and touch status) separately for main and MTF analyses.
Use Case
This indicator is designed for traders using Smart Money Concepts (SMC) to identify areas of market inefficiency (FVGs) for potential price reversals or continuations. The MTF support allows analysis across different timeframes, aiding in confirming trends or spotting higher-timeframe support/resistance zones.
FlowScope [Hapharmonic]FlowScope: Uncover the Market's True Intent ๐ฌ
Ever wished you could look inside the candles and see where the real action is happening? FlowScope is your microscope for the market's flow, designed to give you a powerful edge by revealing the volume distribution that price action alone can't show you.
Instead of just looking at the open, high, low, and close, FlowScope lets you dive deeper into the market's auction process. It groups candles together and builds a detailed Volume Profile for that period, showing you exactly where the trading happened and revealing the story behind the price action.
Let's explore how you can use it to gain a powerful new edge.
๐ง Core Concept: How It Works
At its heart, FlowScope does three key things:
It Groups Candles: You decide how many candles to group together. For example, setting " Group Candles " to 4 on a 5-minute chart effectively gives you a detailed 20-minute candle and profile. This helps you see the bigger picture and filter out market noise.
It Builds a Volume Profile: For each group, FlowScope analyzes the volume at every single price level. It then displays this as a horizontal histogram (we call this a "footprint" or profile). Longer bars mean more volume was traded at that price, indicating a "fair" price or an area of acceptance. Shorter bars mean price moved through quickly, indicating rejection.
It Creates a Custom "Grouped Candle": To summarize the group's overall price action, FlowScope draws a single, custom candle representing the entire group's:
Open: The open of the first candle in the group.
High: The absolute highest price reached within the group.
Low: The absolute lowest price reached within the group.
Close: The close of the last candle in the group.
This gives you a crystal-clear view of the group's net result, free from the back-and-forth noise of the individual candles inside it.
Below are some of the stunning preset color palettes you can choose from to customize your view:
๐ How to Use: Practical Applications
FlowScope isn't just for looking pretty; it's a powerful analysis tool. Here are a few ways to integrate it into your trading:
Identify High-Volume Nodes (HVNs): Look for the longest bars in the profile. These are price levels where the market spent the most time and traded the most volume. HVNs often act as powerful "magnets" for price, becoming key areas of support and resistance.
Spot Low-Volume Nodes (LVNs): These are areas with very short bars or gaps in the profile. They represent price levels that the market moved through quickly and inefficiently. If price returns to an LVN, it's likely to move through it quickly again.
Analyze the Summary Box: This is where the real magic happens! โจ
Total Volume (ฮฃ): The total volume for the entire group.
Buy (B) vs. Sell (S) Volume: FlowScope analyzes the lower timeframe action to estimate the buying and selling pressure that made up the total volume. Is a big red candle mostly aggressive selling, or was it just a lack of buyers? The B/S data gives you clues. A high-volume candle with nearly 50/50 buy/sell pressure might indicate absorption or a potential reversal.
Use the Grouped Candle for Clarity: Is the market in a clear uptrend, or is it just choppy? The grouped candle can give you a much clearer signal. A series of strong, green grouped candles shows much more conviction than a mix of small green and red candles.
โ๏ธ Settings & Customization
This is where you can truly make FlowScope your own. Let's walk through each setting.
Profile Settings
Group Candles: The number of standard chart candles you want to combine into a single FlowScope profile. A setting of 1 will analyze every single bar. A higher number gives you a broader market view. When Group Candles is set to 5, the data from the 5 individual candles are combined, and the volume is calculated accordingly.
Max Profile Boxes: This setting is more than just a number; it's a smart limit that ensures your profiles are always readable and relevant to the current market conditions.
Adaptive Sizing (The Ideal Goal): FlowScope first tries to create the perfect profile by making each volume box's height proportional to the current market volatility. It calculates an "ideal" box height based on the Average True Range ( ATR / 10 ). This is powerful because it automatically adapts: you get smaller, more detailed boxes in quiet, low-volatility markets, and larger, clearer boxes in volatile, fast-moving markets.
The Safety Cap (Your Setting): However, what if you group several candles during a massive price move? The price range could be huge! If we only used the small, ATR-based box height, you might end up with hundreds of tiny, unreadable boxes. This is where your Max Profile Boxes setting (defaulting to 50) comes in. It acts as a maximum detail cap . If the adaptive, volatility-based calculation determines that it would need more boxes than your setting (e.g., more than 50), the indicator will override it. It will then simply divide the entire price range of the group into exactly the number of boxes you specified (e.g., 50).
In short: You are setting the maximum allowable detail. FlowScope intelligently adapts the profile's granularity below that limit based on market volatility, ensuring you always get a clear and meaningful picture.
Style
Show Profile BG: A simple toggle to show or hide the faint background color behind the volume bars. Turning it off can create a cleaner look.
Color Mode: This dropdown controls how the volume profile text is colored.
Custom Gradient: This mode uses the three custom colors you select in the "Profile Colors" section to create a beautiful gradient across the profile.
Candle Color: This mode colors the profile based on whether the grouped candle was bullish (green) or bearish (red). The color will be a gradient, with the most intense color applied to the box with the highest volume; the colors of the other boxes will fade out from that point. It's a great way to see the profile's "mood" at a glance.
Profile Colors ๐จ
Use Preset Palette: This is the master switch!
If checked: You can choose from 10 stunning, pre-designed color palettes from the Palette dropdown. The custom color pickers below will be disabled.
If unchecked (Default): The Palette dropdown will be disabled, and you can now choose your own three colors for the gradient.
Palette: (Only active when "Use Preset Palette" is checked) . Choose from 10 luxurious, eye-catching color schemes like "Solar Flare" or "Deep Space" to instantly change the look and feel of your chart.
Low Price / Mid Price / High Price: (Only active when "Use Preset Palette" is unchecked) . These three color pickers allow you to design your own unique gradient for the Custom Gradient color mode.
Candle Display
These settings control the custom "Grouped Candle" that summarizes the profile. When using the "Show Custom Candle" feature, you should change the chart's candlestick display to Bars for a cleaner view.
Show Custom Candle: This is the main toggle. When you check this box, the original chart candles will be hidden, and your custom FlowScope candle will be displayed instead. This custom candle is intentionally small to ensure it does not visually overlap with the volume profile boxes.
Show Body: (Only active when "Show Custom Candle" is checked) . Toggles the visibility of the candle's body.
Wick Width & Body Width: (Only active when "Show Custom Candle" is checked) . These sliders let you control the thickness of the wick and body lines to match your personal style.
Up Color / Down Color: (Only active when "Show Custom Candle" is checked) . Choose the colors for your bullish and bearish custom candles.
Experiment with the settings, find a style that works for you, and start seeing the market in a whole new light.
Happy trading! ๐๐
BTC Power Law Valuation BandsBTC Power Law Rainbow
A long-term valuation framework for Bitcoin based on Power Law growth โ designed to help identify macro accumulation and distribution zones, aligned with long-term investor behavior.
๐ What Is a Power Law?
A Power Law is a mathematical relationship where one quantity varies as a power of another. In this model:
Price โ a ร (Time)^b
It captures the non-linear, exponentially slowing growth of Bitcoin over time. Rather than using linear or cyclical models, this approach aligns with how complex systems, such as networks or monetary adoption curves, often grow โ rapidly at first, and then more slowly, but persistently.
๐ง Why Power Law for BTC?
Bitcoin:
Has finite supply and increasing adoption.
Operates as a monetary network , where Metcalfeโs Law and power laws naturally emerge.
Exhibits exponential growth over logarithmic time when viewed on a log-log chart .
This makes it uniquely well-suited for power law modeling.
๐ How to Use the Valuation Bands
The central white line represents the modeled fair value according to the power law.
Colored bands represent deviations from the model in logarithmic space, acting as macro zones:
๐ต Lower Bands: Deep value / Accumulation zones.
๐ก Mid Bands: Fair value.
๐ด Upper Bands: Euphoria / Risk of macro tops.
๐ Smart Money Concepts (SMC) Alignment
Accumulation: Occurs when price consolidates near lower bands โ often aligning with institutional positioning.
Markup: As price re-enters or ascends the bands, we often see breakout behavior and trend expansion.
Distribution: When price extends above upper bands, potential for exit liquidity creation and distribution events.
Reversion: Historically, price mean-reverts toward the model โ rarely staying outside the bands for long.
This makes the model useful for:
Cycle timing
Long-term DCA strategy zones
Identifying value dislocations
Filtering short-term noise
โ ๏ธ Disclaimer
This tool is for educational and informational purposes only . It is not financial advice. The power law model is a non-predictive, mathematical framework and does not guarantee future price movements .
Always use additional tools, risk management, and your own judgment before making trading or investment decisions.
Apex Edge โ Liquidity RaiderApex Edge โ Liquidity Raider
The Predator That Hunts Where Retail Never Looks
The Liquidity Raider is not your average liquidity line plotter.
This is an institutional-grade hunting system that tracks the pools of liquidity Smart Money algos stalk โ and tells you exactly when price is circling in for the strike.
Where most retail tools simply mark lines, this one acts like a predator:
Scans the chart dynamically to detect clustered highs & lows (pivot-based liquidity zones).
Filters noise with sensitivity & price rounding so you only get real liquidity levels โ not every random swing.
Plots live BSL (Buy-Side Liquidity) & SSL (Sell-Side Liquidity) lines in clean dotted format.
Auto-deletes levels when swept, so your chart stays clean and focused.
Triggers directional arrows when price comes within your specified % distance to the target liquidity pool โ before the market moves.
EMA confluence layer lets you align with institutional flow (customizable Fast & Slow EMAs).
Core Power
Cluster Logic โ Finds high-probability liquidity zones using repeated pivot levels.
Sweep Awareness โ Lines vanish the moment liquidity is taken, keeping focus on the next pool.
Proximity Strike Detection โ Arrow signals only when price is within striking range.
Directional Clarity โ Red arrows = targeting BSL, Green arrows = targeting SSL.
Scalable Across Timeframes โ Adapts to your chartโs timeframe with dynamic lookback scaling.
Institutional Flow Filter โ Optional EMA confirmation keeps you aligned with the real trend.
How to Use
Identify liquidity pools โ Dotted green = buy-side, dotted red = sell-side.
Watch proximity arrows โ These mean price is in range and hunting that pool.
Align with EMA bias โ Enter only in the direction of institutional momentum.
Target the sweep โ Your take profit is where the liquidity is resting.
Why Liquidity Raider Wins
This is not a lagging signal system.
Itโs a real-time, clean, predictive tool designed to mimic the targeting logic of high-frequency algos.
By removing swept levels and focusing only on the next available pools, Liquidity Raider keeps you one step ahead of the crowd โ and perfectly positioned for the kill shot.
Liquidity mark-out indicator(by Lumiere)This indicator marks out every High that has a bullish candle followed by a bearish one, vice versa for lows.
Once the price reaches the marked-out liquidity, the line is removed automatically.
This indicator only shows the current liquidity of the time frame you are at.
(To get it look like the picture just chance the length to 30-50)
Key Features of the Liquidity Mark-Out Indicator:
๐น Identifies Liquidity Zones โ Marks highs and lows based on candlestick patterns.
๐น Customizable Settings โ Toggle highs/lows visibility ๐๏ธ, adjust line colors ๐จ, and set line length (bars) ๐.
๐น Smart Clean-Up โ Automatically removes swept levels (when price breaks through) for a clean chart ๐งน.
๐น Pattern-Based Detection โ
Highs: Detects two-candle reversal patterns (๐ข bullish close โ ๐ด bearish close).
Lows: Detects two-candle reversal patterns (๐ด bearish close โ ๐ข bullish close).
๐น Dynamic Lines โ Projects liquidity levels forward (adjustable length) to track key zones ๐.
Perfect For Traders Looking To:
โ
Spot potential liquidity grabs ๐ฏ
โ
Identify key support/resistance levels ๐
โ
Clean up their chart from outdated levels ๐ฅ๏ธ
COT3 - Flip Strength Index - Invincible3This indicator uses the TradingView COT library to visualize institutional positioning and potential sentiment or trend shifts. It compares the long% vs short% of commercial and non-commercial traders for both Pair A and Pair B, helping traders identify trend strength, market overextension, and early reversal signals.
๐ท COT RSI
The COT RSI normalizes the net positioning difference between non-commercial and commercial traders over (N=13, 26, and 52)-week periods. It ranges from 0 to 100, highlighting when sentiment is at bullish or bearish extremes.
COT RSI (N)= ((NC - C)โmin)/(max-min) x100
๐ก COT Index
The COT Index tracks where the current non-commercial net position lies within its 1-year and 3-year historical range. It reflects institutional accumulation or distribution phases.
Strength represents the magnitude of that positioning bias, visualized through normalized RSI-style metrics.
COT Index (N)= (NC net)/(max-min) x100
๐ Flip Detection
Flip refers to the crossovers between long% and short%, indicating a change in directional bias among trader groups. When long positions exceed shorts (or vice versa), it signals a possible market flip in sentiment or trend.
For example, Pair B commercial flip is calculated as:
Long% = (Long/Open Interest)ร100
Short% = (Short/Open Interest)ร100
Flip = Long%โShort%
A bullish flip occurs when long% overtakes short%, and vice versa for a bearish flip. These flips often precede price trend changes or confirm sentiment breakouts.
Flip captures how far current positioning deviates from historical norms โ highlighting periods of institutional overconfidence or exhaustion, often leading to significant market turns.
This combination offers a multi-layered edge for identifying when smart money is flipping direction, and whether that flip has strong conviction or is likely to fade.
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Trading Sessions [BigBeluga]
This indicator brings Smart Money Concept (ICT) session logic to life by plotting key global trading sessions with volume and delta analytics. It not only highlights session ranges but also tracks their midpoints โ which often act as intraday support/resistance levels.
๐ต KEY FEATURES
Visual session boxes: Plots boxes for Tokyo, London, New York, and Sydney sessions based on user-defined UTC+0 time ranges.
Volume & delta metrics: Displays total volume and delta volume (buyโsell difference) within each session.
Mid, High & Low Range Extension: Once a session ends, the high, low, and midpoint levels automatically extend โ ideal for detecting SR zones.
Session labels: Each box includes a label with session name, time, volume, and delta for quick reference.
Custom session control: Enable or disable sessions individually and configure start/end times.
Clean aesthetics: Transparent shaded boxes with subtle borders make it easy to overlay without clutter.
Sessions Dashboard: Shows the time range of each session and tells you whether the session is currently active.
๐ต USAGE
Enable the sessions you want to monitor (e.g., New York or Tokyo) from the settings.
Use session volume and delta values to gauge the strength and direction of institutional activity.
Watch for price interaction with the extended range โ it often acts as dynamic support/resistance after the session ends.
Overlay it with liquidity tools or breaker blocks for intraday strategy alignment.
๐ต EXAMPLES
Extended Future Range acted as resistance/support.
Delta value helped confirm bullish pressure during New York open.
Multiple sessions helped identify kill zone overlaps and high-volume turns.
Trading Sessions is more than just a visual scheduler โ it's a precision tool for traders who align with session-based volume dynamics and ICT methodology. Use it to define high-probability zones, confirm volume shifts, and read deeper into the true intent behind market structure.
Enhanced KLSE Banker Flow Oscillator# Enhanced KLSE Banker Flow Oscillator
## Description
The Enhanced KLSE Banker Flow Oscillator is a sophisticated technical analysis tool designed specifically for the Malaysian stock market (KLSE). This indicator analyzes price and volume relationships to identify potential smart money movements, providing early signals for market reversals and continuation patterns.
The oscillator measures the buying and selling pressure in the market with a focus on detecting institutional activity. By combining money flow calculations with volume filters and price action analysis, it helps traders identify high-probability trading opportunities with reduced noise.
## Key Features
- Dual-Timeframe Analysis: Combines long-term money flow trends with short-term momentum shifts for more accurate signals
- Adaptive Volume Filtering: Automatically adjusts volume thresholds based on recent market conditions
- Advanced Divergence Detection: Identifies potential trend reversals through price-flow divergences
- Early Signal Detection: Provides anticipatory signals before major price movements occur
- Multiple Signal Types: Offers both early alerts and strong confirmation signals with clear visual markers
- Volatility Adjustment: Adapts sensitivity based on current market volatility for more reliable signals
- Comprehensive Visual Feedback: Color-coded oscillator, signal markers, and optional text labels
- Customizable Display Options: Toggle momentum histogram, early signals, and zone fills
- Organized Settings Interface: Logically grouped parameters for easier configuration
## Indicator Components
1. Main Oscillator Line: The primary banker flow line that fluctuates above and below zero
2. Early Signal Line: Secondary indicator showing potential emerging signals
3. Momentum Histogram: Visual representation of flow momentum changes
4. Zone Fills: Color-coded background highlighting positive and negative zones
5. Signal Markers: Visual indicators for entry and exit points
6. Reference Lines: Key levels for strong and early signals
7. Signal Labels: Optional text annotations for significant signals
## Signal Types
1. Strong Buy Signal (Green Arrow): Major bullish signal with high probability of success
2. Strong Sell Signal (Red Arrow): Major bearish signal with high probability of success
3. Early Buy Signal (Blue Circle): First indication of potential bullish trend
4. Early Sell Signal (Red Circle): First indication of potential bearish trend
5. Bullish Divergence (Yellow Triangle Up): Price making lower lows while flow makes higher lows
6. Bearish Divergence (Yellow Triangle Down): Price making higher highs while flow makes lower highs
## Parameters Explained
### Core Settings
- MFI Base Length (14): Primary calculation period for money flow index
- Short-term Flow Length (5): Calculation period for early signals
- KLSE Sensitivity (1.8): Multiplier for flow calculations, higher = more sensitive
- Smoothing Length (5): Smoothing period for the main oscillator line
### Volume Filter Settings
- Volume Filter % (65): Minimum volume threshold as percentage of average
- Use Adaptive Volume Filter (true): Dynamically adjusts volume thresholds
### Signal Levels
- Strong Signal Level (15): Threshold for strong buy/sell signals
- Early Signal Level (10): Threshold for early buy/sell signals
- Early Signal Threshold (0.75): Sensitivity factor for early signals
### Advanced Settings
- Divergence Lookback (34): Period for checking price-flow divergences
- Show Signal Labels (true): Toggle text labels for signals
### Visual Settings
- Show Momentum Histogram (true): Toggle the momentum histogram display
- Show Early Signal (true): Toggle the early signal line display
- Show Zone Fills (true): Toggle background color fills
## How to Use This Indicator
### Installation
1. Add the indicator to your TradingView chart
2. Default settings are optimized for KLSE stocks
3. Customize parameters if needed for specific stocks
### Basic Interpretation
- Oscillator Above Zero: Bullish bias, buying pressure dominates
- Oscillator Below Zero: Bearish bias, selling pressure dominates
- Crossing Zero Line: Potential shift in market sentiment
- Extreme Readings: Possible overbought/oversold conditions
### Advanced Interpretation
- Divergences: Early warning of trend exhaustion
- Signal Confluences: Multiple signal types appearing together increase reliability
- Volume Confirmation: Signals with higher volume are more significant
- Momentum Alignment: Histogram should confirm direction of main oscillator
### Trading Strategies
#### Trend Following Strategy
1. Identify market trend direction
2. Wait for pullbacks shown by oscillator moving against trend
3. Enter when oscillator reverses back in trend direction with a Strong signal
4. Place stop loss below/above recent swing low/high
5. Take profit at previous resistance/support levels
#### Counter-Trend Strategy
1. Look for oscillator reaching extreme levels
2. Identify divergence between price and oscillator
3. Wait for oscillator to cross Early signal threshold
4. Enter position against prevailing trend
5. Use tight stop loss (1 ATR from entry)
6. Take profit at first resistance/support level
#### Breakout Confirmation Strategy
1. Identify stock consolidating in a range
2. Wait for price to break out of range
3. Confirm breakout with oscillator crossing zero line in breakout direction
4. Enter position in breakout direction
5. Place stop loss below/above the breakout level
6. Trail stop as price advances
### Signal Hierarchy and Reliability
From highest to lowest reliability:
1. Strong Buy/Sell signals with divergence and high volume
2. Strong Buy/Sell signals with high volume
3. Divergence signals followed by Early signals
4. Strong Buy/Sell signals with normal volume
5. Early Buy/Sell signals with high volume
6. Early Buy/Sell signals with normal volume
## Complete Trading Plan Example
### KLSE Market Trading System
#### Pre-Trading Preparation
1. Review overall market sentiment (bullish, bearish, or neutral)
2. Scan for stocks showing significant banker flow signals
3. Note key support/resistance levels for watchlist stocks
4. Prioritize trade candidates based on signal strength and volume
#### Entry Rules for Long Positions
1. Banker Flow Oscillator above zero line (positive flow environment)
2. One or more of the following signals present:
- Strong Buy signal (green arrow)
- Bullish Divergence signal (yellow triangle up)
- Early Buy signal (blue circle) with confirming price action
3. Entry confirmation requirements:
- Volume above 65% of 20-day average
- Price above short-term moving average (e.g., 20 EMA)
- No immediate resistance within 3% of entry price
4. Entry on the next candle open after signal confirmation
#### Entry Rules for Short Positions
1. Banker Flow Oscillator below zero line (negative flow environment)
2. One or more of the following signals present:
- Strong Sell signal (red arrow)
- Bearish Divergence signal (yellow triangle down)
- Early Sell signal (red circle) with confirming price action
3. Entry confirmation requirements:
- Volume above 65% of 20-day average
- Price below short-term moving average (e.g., 20 EMA)
- No immediate support within 3% of entry price
4. Entry on the next candle open after signal confirmation
#### Position Sizing Rules
1. Base risk per trade: 1% of trading capital
2. Position size calculation: Capital ร Risk% รท Stop Loss Distance
3. Position size adjustments:
- Increase by 20% for Strong signals with above-average volume
- Decrease by 20% for Early signals without confirming price action
- Standard size for all other valid signals
#### Stop Loss Placement
1. For Long Positions:
- Place stop below the most recent swing low
- Minimum distance: 1.5 ร ATR(14)
- Maximum risk: 1% of trading capital
2. For Short Positions:
- Place stop above the most recent swing high
- Minimum distance: 1.5 ร ATR(14)
- Maximum risk: 1% of trading capital
#### Take Profit Strategy
1. First Target (33% of position):
- 1.5:1 reward-to-risk ratio
- Move stop to breakeven after reaching first target
2. Second Target (33% of position):
- 2.5:1 reward-to-risk ratio
- Trail stop at previous day's low/high
3. Final Target (34% of position):
- 4:1 reward-to-risk ratio or
- Exit when opposing signal appears (e.g., Strong Sell for long positions)
#### Trade Management Rules
1. After reaching first target:
- Move stop to breakeven
- Consider adding to position if new confirming signal appears
2. After reaching second target:
- Trail stop using banker flow signals
- Exit remaining position when:
- Oscillator crosses zero line in opposite direction
- Opposing signal appears
- Price closes below/above trailing stop level
3. Maximum holding period:
- 20 trading days for trend-following trades
- 10 trading days for counter-trend trades
- Re-evaluate if targets not reached within timeframe
#### Risk Management Safeguards
1. Maximum open positions: 5 trades
2. Maximum sector exposure: 40% of trading capital
3. Maximum daily drawdown limit: 3% of trading capital
4. Mandatory stop trading rules:
- After three consecutive losing trades
- After reaching 5% account drawdown
- Resume after two-day cooling period and strategy review
#### Performance Tracking
1. Track for each trade:
- Signal type that triggered entry
- Oscillator reading at entry and exit
- Volume relative to average
- Price action confirmation patterns
- Holding period
- Reward-to-risk achieved
2. Review performance metrics weekly:
- Win rate by signal type
- Average reward-to-risk ratio
- Profit factor
- Maximum drawdown
3. Adjust strategy parameters based on performance:
- Increase position size for highest performing signals
- Decrease or eliminate trades based on underperforming signals
## Advanced Usage Tips
1. Combine with Support/Resistance:
- Signals are more reliable when they occur at key support/resistance levels
- Look for banker flow divergence at major price levels
2. Multiple Timeframe Analysis:
- Use the oscillator on both daily and weekly timeframes
- Stronger signals when both timeframes align
- Enter on shorter timeframe when confirmed by longer timeframe
3. Sector Rotation Strategy:
- Compare banker flow across different sectors
- Rotate capital to sectors showing strongest positive flow
- Avoid sectors with persistent negative flow
4. Volatility Adjustments:
- During high volatility periods, wait for Strong signals only
- During low volatility periods, Early signals can be more actionable
5. Optimizing Parameters:
- For more volatile stocks: Increase Smoothing Length (6-8)
- For less volatile stocks: Decrease KLSE Sensitivity (1.2-1.5)
- For intraday trading: Reduce all length parameters by 30-50%
## Fine-Tuning for Different Markets
While optimized for KLSE, the indicator can be adapted for other markets:
1. For US Stocks:
- Reduce KLSE Sensitivity to 1.5
- Increase Volume Filter to 75%
- Adjust Strong Signal Level to 18
2. For Forex:
- Increase Smoothing Length to 8
- Reduce Early Signal Threshold to 0.6
- Focus more on divergence signals than crossovers
3. For Cryptocurrencies:
- Increase KLSE Sensitivity to 2.2
- Reduce Signal Levels (Strong: 12, Early: 8)
- Use higher Volume Filter (80%)
By thoroughly understanding and properly implementing the Enhanced KLSE Banker Flow Oscillator, traders can gain a significant edge in identifying institutional money flow and making more informed trading decisions, particularly in the Malaysian stock market.
Order Blocks - VK TradingOrder Blocks - VK Trading
This script in Pine Script identifies and highlights Order Blocks, key tools in institutional trading. Designed for traders of all levels, it provides clear and customizable visualization, helping you anticipate market movements with greater accuracy.
Key Features:
Order Block Visualization: Highlights relevant bullish and bearish zones directly on the chart.
Customizable Settings: Adjust sensitivity, colors, and other parameters to suit your analysis needs.
Dual Block Detection: Uses two independent settings to cover different market perspectives.
Visual Alerts: Automatic line drawing for key levels.
Automatic Clearing: Dynamic clearing of already invalidated blocks.
User Benefits:
Clear Visual Analysis: Identifies key supply and demand points used by institutions.
Improved Trading Decisions: Anticipate entry and exit zones more accurately.
Time Saver: Automates level plotting, allowing you to focus on strategy and execution.
Strategy Adaptability: Compatible with Smart Money, Wyckoff, and Price Action approaches.
Disclaimer:
This script is an educational and analytical tool. It does not guarantee specific results or eliminate trading risk. Trading in the financial markets involves significant risks; use this script at your own risk.
Hidden SMT Divergence ICT 01 [TradingFinder] HSMT SMC Technique๐ต Introduction
Hidden SMT Divergence, an advanced concept within the Smart Money Technique (SMT), identifies discrepancies between correlated assets by focusing on their closing prices.
Unlike the standard SMT Divergence, which uses high and low prices for analysis, Hidden SMT Divergence uncovers subtle signals by examining divergences based on the assets' closing values.
These divergences often highlight potential reversals or trend continuations, making this technique a valuable tool for traders aiming to anticipate market movements.
This approach applies across various markets and asset classes, including :
Commodities : CAPITALCOM:GOLD vs. CAPITALCOM:SILVER or BLACKBULL:BRENT vs. BLACKBULL:WTI .
Indices : NASDAQ:NDX vs. TVC:SPX vs. FX:US30 .
FOREX : FX:EURUSD vs. OANDA:GBPUSD vs. TVC:DXY (US Dollar Index).
Cryptocurrencies : BITSTAMP:BTCUSD vs. COINBASE:ETHUSD vs. KUCOIN:SOLUSDT vs. CRYPTOCAP:TOTAL3 .
Volatility Measures : FOREXCOM:XAUUSD vs. TVC:VIX (Volatility Index).
By identifying divergences within these asset groups, traders can gain actionable insights into potential market reversals or shifts in trend direction. Hidden SMT Divergence is particularly effective for pinpointing subtle market signals that traditional methods may overlook.
Bullish Hidden SMT Divergence : This divergence emerges when one asset forms a higher low, while the correlated asset creates a lower low in terms of their closing prices. It often signals weakening downward momentum and a potential reversal to the upside.
Bearish Hidden SMT Divergence : This occurs when one asset establishes a higher high, while the correlated asset forms a lower high based on their closing prices. It typically reflects declining upward momentum and a probable shift to the downside.
๐ต How to Use
The Hidden SMT Divergence indicator provides traders with a systematic approach to identify market reversals or trend continuations through divergences in closing prices between two correlated assets.
๐ฃ Bullish Hidden SMT Divergence
Bullish Hidden SMT Divergence occurs when the closing price of the primary asset forms a higher low, while the correlated asset creates a lower low. This pattern indicates weakening downward momentum and signals a potential reversal to the upside.
After identifying the divergence, confirm it using additional tools like support levels, volume trends, or indicators such as RSI and MACD. Enter a buy position as the price shows signs of reversal near support zones, ensuring proper risk management by placing a stop-loss below the support level.
Bearish Hidden SMT Divergence
Bearish Hidden SMT Divergence is identified when the closing price of the primary asset forms a higher high, while the correlated asset creates a lower high. This divergence suggests a weakening uptrend and a likely reversal to the downside.
Validate the signal by examining resistance levels, declining volume, or complementary indicators. Consider entering a sell position as the price starts declining from resistance levels, and set a stop-loss above the resistance zone to limit potential losses.
๐ต Setting
Second Symbol : Select the secondary asset to compare with the primary asset. By default, "XAUUSD" (Gold) is used, but it can be customized to any stock, cryptocurrency, or currency pair.
Divergence Fractal Periods : Defines the number of past candles considered for identifying divergences. The default value is 2, but traders can adjust it for greater precision.
Bullish Divergence Line : Displays a dashed line connecting the points of bullish divergence.
Bearish Divergence Line : Shows a similar line for bearish divergence points.
Bullish Divergence Label : Marks areas of bullish divergence with a "+SMT" label.
Bearish Divergence Label : Highlights bearish divergences with a "-SMT" label.
Chart Type : Choose between Line or Candle charts for enhanced visualization.
๐ต Conclusion
Hidden SMT Divergence offers traders a refined method for identifying market reversals by analyzing closing price discrepancies between correlated assets. Its ability to uncover subtle divergences makes it an essential tool for traders who aim to stay ahead of market trends.
By integrating this technique with other technical analysis tools and sound risk management, traders can enhance their decision-making process and capitalize on market opportunities with greater confidence.
Hidden SMT Divergenceโs focus on closing prices ensures more precise signals, helping traders refine their strategies across various markets, including Forex, commodities, indices, and cryptocurrencies.
Its open-source nature allows for customization and verification, providing transparency and flexibility to suit diverse trading needs. Hidden SMT Divergence stands as a powerful addition to the arsenal of any trader seeking to unlock hidden opportunities in dynamic financial markets.
lib_smcLibrary "lib_smc"
This is an adaptation of LuxAlgo's Smart Money Concepts indicator with numerous changes. Main changes include integration of object based plotting, plenty of performance improvements, live tracking of Order Blocks, integration of volume profiles to refine Order Blocks, and many more.
This is a library for developers, if you want this converted into a working strategy, let me know.
buffer(item, len, force_rotate)
โโParameters:
โโโโ item (float)
โโโโ len (int)
โโโโ force_rotate (bool)
buffer(item, len, force_rotate)
โโParameters:
โโโโ item (int)
โโโโ len (int)
โโโโ force_rotate (bool)
buffer(item, len, force_rotate)
โโParameters:
โโโโ item (Profile type from robbatt/lib_profile/32)
โโโโ len (int)
โโโโ force_rotate (bool)
swings(len)
โโINTERNAL: detect swing points (HH and LL) in given range
โโParameters:
โโโโ len (simple int) : range to check for new swing points
โโReturns: values are the price level where and if a new HH or LL was detected, else na
method init(this)
โโNamespace types: OrderBlockConfig
โโParameters:
โโโโ this (OrderBlockConfig)
method delete(this)
โโNamespace types: OrderBlock
โโParameters:
โโโโ this (OrderBlock)
method clear_broken(this, broken_buffer)
โโINTERNAL: delete internal order blocks box coordinates if top/bottom is broken
โโNamespace types: map
โโParameters:
โโโโ this (map)
โโโโ broken_buffer (map)
โโReturns: any_bull_ob_broken, any_bear_ob_broken, broken signals are true if an according order block was broken/mitigated, broken contains the broken block(s)
create_ob(id, mode, start_t, start_i, top, end_t, end_i, bottom, break_price, early_confirmation_price, config, init_plot, force_overlay)
โโINTERNAL: set internal order block coordinates
โโParameters:
โโโโ id (int)
โโโโ mode (int) : 1: bullish, -1 bearish block
โโโโ start_t (int)
โโโโ start_i (int)
โโโโ top (float)
โโโโ end_t (int)
โโโโ end_i (int)
โโโโ bottom (float)
โโโโ break_price (float)
โโโโ early_confirmation_price (float)
โโโโ config (OrderBlockConfig)
โโโโ init_plot (bool)
โโโโ force_overlay (bool)
โโReturns: signals are true if an according order block was broken/mitigated
method align_to_profile(block, align_edge, align_break_price)
โโNamespace types: OrderBlock
โโParameters:
โโโโ block (OrderBlock)
โโโโ align_edge (bool)
โโโโ align_break_price (bool)
method create_profile(block, opens, tops, bottoms, closes, values, resolution, vah_pc, val_pc, args, init_calculated, init_plot, force_overlay)
โโNamespace types: OrderBlock
โโParameters:
โโโโ block (OrderBlock)
โโโโ opens (array)
โโโโ tops (array)
โโโโ bottoms (array)
โโโโ closes (array)
โโโโ values (array)
โโโโ resolution (int)
โโโโ vah_pc (float)
โโโโ val_pc (float)
โโโโ args (ProfileArgs type from robbatt/lib_profile/32)
โโโโ init_calculated (bool)
โโโโ init_plot (bool)
โโโโ force_overlay (bool)
method create_profile(block, resolution, vah_pc, val_pc, args, init_calculated, init_plot, force_overlay)
โโNamespace types: OrderBlock
โโParameters:
โโโโ block (OrderBlock)
โโโโ resolution (int)
โโโโ vah_pc (float)
โโโโ val_pc (float)
โโโโ args (ProfileArgs type from robbatt/lib_profile/32)
โโโโ init_calculated (bool)
โโโโ init_plot (bool)
โโโโ force_overlay (bool)
track_obs(swing_len, hh, ll, top, btm, bull_bos_alert, bull_choch_alert, bear_bos_alert, bear_choch_alert, min_block_size, max_block_size, config_bull, config_bear, init_plot, force_overlay, enabled, extend_blocks, clear_broken_buffer_before, align_edge_to_value_area, align_break_price_to_poc, profile_args_bull, profile_args_bear, use_soft_confirm, soft_confirm_offset, use_retracements_with_FVG_out)
โโParameters:
โโโโ swing_len (int)
โโโโ hh (float)
โโโโ ll (float)
โโโโ top (float)
โโโโ btm (float)
โโโโ bull_bos_alert (bool)
โโโโ bull_choch_alert (bool)
โโโโ bear_bos_alert (bool)
โโโโ bear_choch_alert (bool)
โโโโ min_block_size (float)
โโโโ max_block_size (float)
โโโโ config_bull (OrderBlockConfig)
โโโโ config_bear (OrderBlockConfig)
โโโโ init_plot (bool)
โโโโ force_overlay (bool)
โโโโ enabled (bool)
โโโโ extend_blocks (simple bool)
โโโโ clear_broken_buffer_before (simple bool)
โโโโ align_edge_to_value_area (simple bool)
โโโโ align_break_price_to_poc (simple bool)
โโโโ profile_args_bull (ProfileArgs type from robbatt/lib_profile/32)
โโโโ profile_args_bear (ProfileArgs type from robbatt/lib_profile/32)
โโโโ use_soft_confirm (simple bool)
โโโโ soft_confirm_offset (float)
โโโโ use_retracements_with_FVG_out (simple bool)
method draw(this, config, extend_only)
โโNamespace types: OrderBlock
โโParameters:
โโโโ this (OrderBlock)
โโโโ config (OrderBlockConfig)
โโโโ extend_only (bool)
method draw(blocks, config)
โโINTERNAL: plot order blocks
โโNamespace types: array
โโParameters:
โโโโ blocks (array)
โโโโ config (OrderBlockConfig)
method draw(blocks, config)
โโINTERNAL: plot order blocks
โโNamespace types: map
โโParameters:
โโโโ blocks (map)
โโโโ config (OrderBlockConfig)
method cleanup(this, ob_bull, ob_bear)
โโremoves all Profiles that are older than the latest OrderBlock from this profile buffer
โโNamespace types: array
โโParameters:
โโโโ this (array type from robbatt/lib_profile/32)
โโโโ ob_bull (OrderBlock)
โโโโ ob_bear (OrderBlock)
_plot_swing_points(mode, x, y, show_swing_points, linecolor_swings, keep_history, show_latest_swings_levels, trail_x, trail_y, trend)
โโINTERNAL: plot swing points
โโParameters:
โโโโ mode (int) : 1: bullish, -1 bearish block
โโโโ x (int) : x-coordingate of swing point to plot (bar_index)
โโโโ y (float) : y-coordingate of swing point to plot (price)
โโโโ show_swing_points (bool) : switch to enable/disable plotting of swing point labels
โโโโ linecolor_swings (color) : color for swing point labels and lates level lines
โโโโ keep_history (bool) : weater to remove older swing point labels and only keep the most recent
โโโโ show_latest_swings_levels (bool)
โโโโ trail_x (int) : x-coordinate for latest swing point (bar_index)
โโโโ trail_y (float) : y-coordinate for latest swing point (price)
โโโโ trend (int) : the current trend 1: bullish, -1: bearish, to determine Strong/Weak Low/Highs
_pivot_lvl(mode, trend, hhll_x, hhll, super_hhll, filter_insignificant_internal_breaks)
โโINTERNAL: detect whether a structural level has been broken and if it was in trend direction (BoS) or against trend direction (ChoCh), also track the latest high and low swing points
โโParameters:
โโโโ mode (simple int) : detect 1: bullish, -1 bearish pivot points
โโโโ trend (int) : current trend direction
โโโโ hhll_x (int) : x-coordinate of newly detected hh/ll (bar_index)
โโโโ hhll (float) : y-coordinate of newly detected hh/ll (price)
โโโโ super_hhll (float) : level/y-coordinate of superior hhll (if this is an internal structure pivot level)
โโโโ filter_insignificant_internal_breaks (bool) : if true pivot points / internal structure will be ignored where the wick in trend direction is longer than the opposite (likely to push further in direction of main trend)
โโReturns: coordinates of internal structure that has been broken (x,y): start of structure, (trail_x, trail_y): tracking hh/ll after structure break, (bos_alert, choch_alert): signal whether a structural level has been broken
_plot_structure(x, y, is_bos, is_choch, line_color, line_style, label_style, label_size, keep_history)
โโINTERNAL: plot structural breaks (BoS/ChoCh)
โโParameters:
โโโโ x (int) : x-coordinate of newly broken structure (bar_index)
โโโโ y (float) : y-coordinate of newly broken structure (price)
โโโโ is_bos (bool) : whether this structural break was in trend direction
โโโโ is_choch (bool) : whether this structural break was against trend direction
โโโโ line_color (color) : color for the line connecting the structural level and the breaking candle
โโโโ line_style (string) : style (line.style_dashed/solid) for the line connecting the structural level and the breaking candle
โโโโ label_style (string) : style (label.style_label_down/up) for the label above/below the line connecting the structural level and the breaking candle
โโโโ label_size (string) : size (size.small/tiny) for the label above/below the line connecting the structural level and the breaking candle
โโโโ keep_history (bool) : weater to remove older swing point labels and only keep the most recent
structure_values(length, super_hh, super_ll, filter_insignificant_internal_breaks)
โโdetect (and plot) structural breaks and the resulting new trend
โโParameters:
โโโโ length (simple int) : lookback period for swing point detection
โโโโ super_hh (float) : level/y-coordinate of superior hh (for internal structure detection)
โโโโ super_ll (float) : level/y-coordinate of superior ll (for internal structure detection)
โโโโ filter_insignificant_internal_breaks (bool) : if true pivot points / internal structure will be ignored where the wick in trend direction is longer than the opposite (likely to push further in direction of main trend)
โโReturns: trend: direction 1:bullish -1:bearish, (bull_bos_alert, bull_choch_alert, top_x, top_y, trail_up_x, trail_up): whether and which level broke in a bullish direction, trailing high, (bbear_bos_alert, bear_choch_alert, tm_x, btm_y, trail_dn_x, trail_dn): same in bearish direction
structure_plot(trend, bull_bos_alert, bull_choch_alert, top_x, top_y, trail_up_x, trail_up, hh, bear_bos_alert, bear_choch_alert, btm_x, btm_y, trail_dn_x, trail_dn, ll, color_bull, color_bear, show_swing_points, show_latest_swings_levels, show_bos, show_choch, line_style, label_size, keep_history)
โโdetect (and plot) structural breaks and the resulting new trend
โโParameters:
โโโโ trend (int) : crrent trend 1: bullish, -1: bearish
โโโโ bull_bos_alert (bool) : if there was a bullish bos alert -> plot it
โโโโ bull_choch_alert (bool) : if there was a bullish choch alert -> plot it
โโโโ top_x (int) : latest shwing high x
โโโโ top_y (float) : latest swing high y
โโโโ trail_up_x (int) : trailing high x
โโโโ trail_up (float) : trailing high y
โโโโ hh (float) : if there was a higher high
โโโโ bear_bos_alert (bool) : if there was a bearish bos alert -> plot it
โโโโ bear_choch_alert (bool) : if there was a bearish chock alert -> plot it
โโโโ btm_x (int) : latest swing low x
โโโโ btm_y (float) : latest swing low y
โโโโ trail_dn_x (int) : trailing low x
โโโโ trail_dn (float) : trailing low y
โโโโ ll (float) : if there was a lower low
โโโโ color_bull (color) : color for bullish BoS/ChoCh levels
โโโโ color_bear (color) : color for bearish BoS/ChoCh levels
โโโโ show_swing_points (bool) : whether to plot swing point labels
โโโโ show_latest_swings_levels (bool) : whether to track and plot latest swing point levels with lines
โโโโ show_bos (bool) : whether to plot BoS levels
โโโโ show_choch (bool) : whether to plot ChoCh levels
โโโโ line_style (string) : whether to plot BoS levels
โโโโ label_size (string) : label size of plotted BoS/ChoCh levels
โโโโ keep_history (bool) : weater to remove older swing point labels and only keep the most recent
structure(length, color_bull, color_bear, super_hh, super_ll, filter_insignificant_internal_breaks, show_swing_points, show_latest_swings_levels, show_bos, show_choch, line_style, label_size, keep_history, enabled)
โโdetect (and plot) structural breaks and the resulting new trend
โโParameters:
โโโโ length (simple int) : lookback period for swing point detection
โโโโ color_bull (color) : color for bullish BoS/ChoCh levels
โโโโ color_bear (color) : color for bearish BoS/ChoCh levels
โโโโ super_hh (float) : level/y-coordinate of superior hh (for internal structure detection)
โโโโ super_ll (float) : level/y-coordinate of superior ll (for internal structure detection)
โโโโ filter_insignificant_internal_breaks (bool) : if true pivot points / internal structure will be ignored where the wick in trend direction is longer than the opposite (likely to push further in direction of main trend)
โโโโ show_swing_points (bool) : whether to plot swing point labels
โโโโ show_latest_swings_levels (bool) : whether to track and plot latest swing point levels with lines
โโโโ show_bos (bool) : whether to plot BoS levels
โโโโ show_choch (bool) : whether to plot ChoCh levels
โโโโ line_style (string) : whether to plot BoS levels
โโโโ label_size (string) : label size of plotted BoS/ChoCh levels
โโโโ keep_history (bool) : weater to remove older swing point labels and only keep the most recent
โโโโ enabled (bool)
_check_equal_level(mode, len, eq_threshold, enabled)
โโINTERNAL: detect equal levels (double top/bottom)
โโParameters:
โโโโ mode (int) : detect 1: bullish/high, -1 bearish/low pivot points
โโโโ len (int) : lookback period for equal level (swing point) detection
โโโโ eq_threshold (float) : maximum price offset for a level to be considered equal
โโโโ enabled (bool)
โโReturns: eq_alert whether an equal level was detected and coordinates of the first and the second level/swing point
_plot_equal_level(show_eq, x1, y1, x2, y2, label_txt, label_style, label_size, line_color, line_style, keep_history)
โโINTERNAL: plot equal levels (double top/bottom)
โโParameters:
โโโโ show_eq (bool) : whether to plot the level or not
โโโโ x1 (int) : x-coordinate of the first level / swing point
โโโโ y1 (float) : y-coordinate of the first level / swing point
โโโโ x2 (int) : x-coordinate of the second level / swing point
โโโโ y2 (float) : y-coordinate of the second level / swing point
โโโโ label_txt (string) : text for the label above/below the line connecting the equal levels
โโโโ label_style (string) : style (label.style_label_down/up) for the label above/below the line connecting the equal levels
โโโโ label_size (string) : size (size.tiny) for the label above/below the line connecting the equal levels
โโโโ line_color (color) : color for the line connecting the equal levels (and it's label)
โโโโ line_style (string) : style (line.style_dotted) for the line connecting the equal levels
โโโโ keep_history (bool) : weater to remove older swing point labels and only keep the most recent
equal_levels_values(len, threshold, enabled)
โโdetect (and plot) equal levels (double top/bottom), returns coordinates
โโParameters:
โโโโ len (int) : lookback period for equal level (swing point) detection
โโโโ threshold (float) : maximum price offset for a level to be considered equal
โโโโ enabled (bool) : whether detection is enabled
โโReturns: (eqh_alert, eqh_x1, eqh_y1, eqh_x2, eqh_y2) whether an equal high was detected and coordinates of the first and the second level/swing point, (eql_alert, eql_x1, eql_y1, eql_x2, eql_y2) same for equal lows
equal_levels_plot(eqh_x1, eqh_y1, eqh_x2, eqh_y2, eql_x1, eql_y1, eql_x2, eql_y2, color_eqh, color_eql, show, keep_history)
โโdetect (and plot) equal levels (double top/bottom), returns coordinates
โโParameters:
โโโโ eqh_x1 (int) : coordinates of first point of equal high
โโโโ eqh_y1 (float) : coordinates of first point of equal high
โโโโ eqh_x2 (int) : coordinates of second point of equal high
โโโโ eqh_y2 (float) : coordinates of second point of equal high
โโโโ eql_x1 (int) : coordinates of first point of equal low
โโโโ eql_y1 (float) : coordinates of first point of equal low
โโโโ eql_x2 (int) : coordinates of second point of equal low
โโโโ eql_y2 (float) : coordinates of second point of equal low
โโโโ color_eqh (color) : color for the line connecting the equal highs (and it's label)
โโโโ color_eql (color) : color for the line connecting the equal lows (and it's label)
โโโโ show (bool) : whether plotting is enabled
โโโโ keep_history (bool) : weater to remove older swing point labels and only keep the most recent
โโReturns: (eqh_alert, eqh_x1, eqh_y1, eqh_x2, eqh_y2) whether an equal high was detected and coordinates of the first and the second level/swing point, (eql_alert, eql_x1, eql_y1, eql_x2, eql_y2) same for equal lows
equal_levels(len, threshold, color_eqh, color_eql, enabled, show, keep_history)
โโdetect (and plot) equal levels (double top/bottom)
โโParameters:
โโโโ len (int) : lookback period for equal level (swing point) detection
โโโโ threshold (float) : maximum price offset for a level to be considered equal
โโโโ color_eqh (color) : color for the line connecting the equal highs (and it's label)
โโโโ color_eql (color) : color for the line connecting the equal lows (and it's label)
โโโโ enabled (bool) : whether detection is enabled
โโโโ show (bool) : whether plotting is enabled
โโโโ keep_history (bool) : weater to remove older swing point labels and only keep the most recent
โโReturns: (eqh_alert) whether an equal high was detected, (eql_alert) same for equal lows
_detect_fvg(mode, enabled, o, h, l, c, filter_insignificant_fvgs, change_tf)
โโINTERNAL: detect FVG (fair value gap)
โโParameters:
โโโโ mode (int) : detect 1: bullish, -1 bearish gaps
โโโโ enabled (bool) : whether detection is enabled
โโโโ o (float) : reference source open
โโโโ h (float) : reference source high
โโโโ l (float) : reference source low
โโโโ c (float) : reference source close
โโโโ filter_insignificant_fvgs (bool) : whether to calculate and filter small/insignificant gaps
โโโโ change_tf (bool) : signal when the previous reference timeframe closed, triggers new calculation
โโReturns: whether a new FVG was detected and its top/mid/bottom levels
_clear_broken_fvg(mode, upper_boxes, lower_boxes)
โโINTERNAL: clear mitigated FVGs (fair value gaps)
โโParameters:
โโโโ mode (int) : detect 1: bullish, -1 bearish gaps
โโโโ upper_boxes (array) : array that stores the upper parts of the FVG boxes
โโโโ lower_boxes (array) : array that stores the lower parts of the FVG boxes
_plot_fvg(mode, show, top, mid, btm, border_color, extend_box)
โโINTERNAL: plot (and clear broken) FVG (fair value gap)
โโParameters:
โโโโ mode (int) : plot 1: bullish, -1 bearish gap
โโโโ show (bool) : whether plotting is enabled
โโโโ top (float) : top level of fvg
โโโโ mid (float) : center level of fvg
โโโโ btm (float) : bottom level of fvg
โโโโ border_color (color) : color for the FVG box
โโโโ extend_box (int) : how many bars into the future the FVG box should be extended after detection
fvgs_values(o, h, l, c, filter_insignificant_fvgs, change_tf, enabled)
โโdetect (and plot / clear broken) FVGs (fair value gaps), and return alerts and level values
โโParameters:
โโโโ o (float) : reference source open
โโโโ h (float) : reference source high
โโโโ l (float) : reference source low
โโโโ c (float) : reference source close
โโโโ filter_insignificant_fvgs (bool) : whether to calculate and filter small/insignificant gaps
โโโโ change_tf (bool) : signal when the previous reference timeframe closed, triggers new calculation
โโโโ enabled (bool) : whether detection is enabled
โโReturns: (bullish_fvg_alert, bull_top, bull_mid, bull_btm): whether a new bullish FVG was detected and its top/mid/bottom levels, (bearish_fvg_alert, bear_top, bear_mid, bear_btm): same for bearish FVGs
fvgs_plot(bullish_fvg_alert, bull_top, bull_mid, bull_btm, bearish_fvg_alert, bear_top, bear_mid, bear_btm, color_bull, color_bear, extend_box, show)
โโParameters:
โโโโ bullish_fvg_alert (bool)
โโโโ bull_top (float)
โโโโ bull_mid (float)
โโโโ bull_btm (float)
โโโโ bearish_fvg_alert (bool)
โโโโ bear_top (float)
โโโโ bear_mid (float)
โโโโ bear_btm (float)
โโโโ color_bull (color) : color for bullish FVG boxes
โโโโ color_bear (color) : color for bearish FVG boxes
โโโโ extend_box (int) : how many bars into the future the FVG box should be extended after detection
โโโโ show (bool) : whether plotting is enabled
โโReturns: (bullish_fvg_alert, bull_top, bull_mid, bull_btm): whether a new bullish FVG was detected and its top/mid/bottom levels, (bearish_fvg_alert, bear_top, bear_mid, bear_btm): same for bearish FVGs
fvgs(o, h, l, c, filter_insignificant_fvgs, change_tf, color_bull, color_bear, extend_box, enabled, show)
โโdetect (and plot / clear broken) FVGs (fair value gaps)
โโParameters:
โโโโ o (float) : reference source open
โโโโ h (float) : reference source high
โโโโ l (float) : reference source low
โโโโ c (float) : reference source close
โโโโ filter_insignificant_fvgs (bool) : whether to calculate and filter small/insignificant gaps
โโโโ change_tf (bool) : signal when the previous reference timeframe closed, triggers new calculation
โโโโ color_bull (color) : color for bullish FVG boxes
โโโโ color_bear (color) : color for bearish FVG boxes
โโโโ extend_box (int) : how many bars into the future the FVG box should be extended after detection
โโโโ enabled (bool) : whether detection is enabled
โโโโ show (bool) : whether plotting is enabled
โโReturns: (bullish_fvg_alert): whether a new bullish FVG was detected, (bearish_fvg_alert): same for bearish FVGs
OrderBlock
โโFields:
โโโโ id (series int)
โโโโ dir (series int)
โโโโ left_top (chart.point)
โโโโ right_bottom (chart.point)
โโโโ break_price (series float)
โโโโ early_confirmation_price (series float)
โโโโ ltf_high (array)
โโโโ ltf_low (array)
โโโโ ltf_volume (array)
โโโโ plot (Box type from robbatt/lib_plot_objects/49)
โโโโ profile (Profile type from robbatt/lib_profile/32)
โโโโ trailing (series bool)
โโโโ extending (series bool)
โโโโ awaiting_confirmation (series bool)
โโโโ touched_break_price_before_confirmation (series bool)
โโโโ soft_confirmed (series bool)
โโโโ has_fvg_out (series bool)
โโโโ hidden (series bool)
โโโโ broken (series bool)
OrderBlockConfig
โโFields:
โโโโ show (series bool)
โโโโ show_last (series int)
โโโโ show_id (series bool)
โโโโ show_profile (series bool)
โโโโ args (BoxArgs type from robbatt/lib_plot_objects/49)
โโโโ txt (series string)
โโโโ txt_args (BoxTextArgs type from robbatt/lib_plot_objects/49)
โโโโ delete_when_broken (series bool)
โโโโ broken_args (BoxArgs type from robbatt/lib_plot_objects/49)
โโโโ broken_txt (series string)
โโโโ broken_txt_args (BoxTextArgs type from robbatt/lib_plot_objects/49)
โโโโ broken_profile_args (ProfileArgs type from robbatt/lib_profile/32)
โโโโ use_profile (series bool)
โโโโ profile_args (ProfileArgs type from robbatt/lib_profile/32)
Change in State of Delivery CISD ICT [TradingFinder] Liquidity 1๐ต Introduction
๐ฃ What is CISD ?
Change in State of Delivery (CISD) is a key concept in technical analysis, similar to Change of Character (ChoCh) and Market Structure Shift (MSS) in the ICT (Inner Circle Trader) and Smart Money trading styles. Like ChoCh and MSS, CISD helps traders identify critical changes in market structure and make timely entries into trades.
To determine the CISD Level, traders typically review the last 1 to 4 candles to identify the first positive or negative candle. The CISD Level is then set using the opening price of the next candle.
In this version of the indicator, support and resistance levels are defined based on liquidity, which includes patterns such as SFP (Swing Failure Pattern), fake breakout, and false breakout.
Bullish CISD :
Bearish CISD :
๐ต How to Use
๐ฃ Bullish CISD (Change in State of Delivery Upward)
In Bullish CISD, the trend shifts from bearish to bullish after the price hits a liquidity zone, typically indicated by patterns such as SFP, fake breakout, or false breakout.
The steps to identify Bullish CISD are as follow s:
Identify the liquidity zone (SFP, fake breakout).
Review the candles and find the first positive candle.
Set the CISD Level using the opening price of the next candle after the positive candle.
Confirm the change in state of delivery when the price closes above the CISD Level.
Enter the trade after CISD confirmation.
๐ฃ Bearish CISD (Change in State of Delivery Downward)
In Bearish CISD, the trader looks for a shift from a bullish to a bearish trend. This change typically occurs when the price hits a liquidity level, indicated by patterns such as SFP or false breakout.
The steps to identify Bearish CISD are :
Identify the liquidity zone.
Review the candles and find the first negative candle.
Set the CISD Level using the opening price of the next candle after the negative candle.
Confirm the change in state of delivery when the price closes below the CISD Level.
Enter a short trade after CISD confirmation.
๐ฃ CISD Compared to ChoCh and MSS (CISD Vs ChoCh/ MSS)
CISD, ChoCh, and MSS are all tools for identifying trend changes in the market, but they have some differences :
CISD: Focuses on a change in the state of delivery and uses liquidity patterns (SFP, fake breakout) and key candles to confirm trend reversals.
ChoCh: Identifies a change in the marketโs character, often signaling rapid shifts in trend direction.
MSS: Focuses on changes in market structure and identifies the breaking of key levels as a signal of trend shifts.
๐ต Settings
๐ฃ CISD Logical settings
Bar Back Check : Determining the return of candles to identify the CISD level.
CISD Level Validity : CISD level validity period based on the number of candles.
๐ฃ SFP Logical settings
Swing period : You can set the swing detection period.
Max Swing Back Method : It is in two modes "All" and "Custom". If it is in "All" mode, it will check all swings, and if it is in "Custom" mode, it will check the swings to the extent you determine.
Max Swing Back : You can set the number of swings that will go back for checking.
๐ฃ CISD Display settings
Displaying or not displaying swings and setting the color of labels and lines.
๐ฃ SFP Display settings
Displaying or not displaying swings and setting the color of labels and lines.
๐ต Conclusion
CISD is a powerful tool for identifying trend reversals using liquidity patterns and key candle analysis. Traders can use the CISD Level to detect trend changes and find optimal entry and exit points.
This concept is similar to ChoCh and MSS but stands out with its focus on confirming trend changes through liquidity and specific patterns. With the right approach, CISD helps traders capitalize on market movements more effectively.
