Futures Exchange Sessions 2.0Description
Successor to Futures Exchange Sessions indicator. Completely rebuilt code from the ground up. Every feature has been redesigned and refactored to be the most beneficial while allowing for complete configuration by the user.
This indicator displays Futures Sessions as live boxes that expand dynamically as price moves over the time interval. These boxes make liquidity levels extremely easy to spot and visualize. It helps the user identify market structure and develop their own bias of price action. Everything about the Session boxes can be configured. Box color, border color, border style, and border width are all individually controllable. Each Future Session can be turned on or off at any time. Also, each box has their own text label (Asian Session, London Session, New York Session) and this text can be moved around the box, change color, and change size.
Previous days highs and lows (major liquidity levels) are always important to the futures trader. This indicator now allows the user to individually display the three previous days highs and low levels as lines with optional label. Each line can be independently toggled on or off and like always, every conceivable customization option is available to the user. And the labels can be moved to the right (via the Input Settings) to allow unobstructed views of candles.
The midnight EST open and 8:30 AM EST open horizontal lines (developed by the Inner Circle Trader) are returning in this indicator. But the biggest improvement is that the lines stop at the current bar or the last bar of the trading day. Additionally, the time lines are displayed on previous days so the user can easily see how the candles reacted to these important times of the day.
The Session boxes and the horizontal time lines now can be set to only display a certain number of day back. If the user wants just to see Session boxes for the previous day only, they can do that. If the user wants to see the last 15 days of boxes or lines it is very easy to increase the days back in the settings. Currently, the max days back is 80 calendar days.
Additional Images
Easily visualize and understand price action across time
Everything is customizable so the user can easily match this indicator to their color preferences
Special Notes
To turn off box session text set opacity to 0%
Boxes and horizontal time lines only display when timeframe is <= 30 minute
在腳本中搜尋"liquidity"
[A618] Liquidity Levels Based OBV SR with KAMAWe all know OBV plays a very important role in figuring out price volume divergences and it can help anyone analyse the directivity force of the market and has a very good tradeoff if applied correctly
In this Experiment i have derived liquidity levels for OBV using volume jumps inside the market
A volume jump is classified as:
Good Volume Jump = 1.618 times the Average Volume (WMA or 2pole ButterWorth's Filter of Volume)
Great Volume Jump = 2 times the Average Volume (WMA or 2pole ButterWorth's Filter of Volume)
Extreme Volume Jump = 3 times the Average Volume (WMA or 2pole ButterWorth's Filter of Volume)
So the horizontal levels which you see on the indicator (colored in red/ blue / gray lines) are the derived Liquidity Levels for OBV in the Market, these are the levels where OBV is most likely to perform a movement or come back
Also I have applied KAMA indicator on top of OBV for better Directive guidance, as of my experiments KAMA seems to be most stable and consistence of all the other moving averages,
KAMA's Length inculde:
KAMA - 8
KAMA - 34
KAMA - 200
Hope this Script help you guys!
Thanks to Tradingview for providing such an awesome platform
##Note for Credits ::
The Ehlers 2 pole butterworth Filter function is derived from @cheatcountry script ()
Debt Refinance Cycle + Liquidity vs BTC (Wk) — Overlay Part 1Debt Refi Cycle - Overlay script (BTC + Liquidity + DRCI/Z normalized to BTC range)
Global Liquidity Proxy vs BitcoinGlobal Liquidity Proxy vs Bitcoin. Helps to understand the cycles with liquidty.
Global Liquidity Proxy (Fed + ECB + BoJ + PBoC)Global Liquidity Proxy (Fed + ECB + BoJ + PBoC) Vs BTC
Swing High/Low Levels (Auto Remove)Plots untapped swing high and low levels from higher timeframes. Used for liquidity sweep strategy. Cluster of swing levels are a magnet for price to return to and reverse. Indicator gives option for candle body or wick for sweep to remove lines.
Custom Price Labels (10 liquidity key levels)A simple indicator for liquidity key level trader:
Add your key level price and key note.
You can adjust the color and font.
How to find key level:
Daily high and Low for key event
eg: NVDA earning, Jackson Hole Day Pump, AI bubble report day dump, Aug Labor Data Revision day dump. If market is consolidating, these key event price level are trend target and reversal level.
Balanced Big Wicks (50/50) HighlighterThis open-source indicator highlights candles with balanced long wicks (50/50 style)—that is, candles where both upper and lower shadows are each at least 30–60% of the full range and within ~8% of each other, while retaining a substantial body. This specific structure often reflects indecision or liquidity sweeps and can precede strong breakout moves.
How It Works (Inputs and Logic)
Min wick % (each side): 30–60% of candle range
Max body %: up to 60% of range (preserves strong body presence)
Equality tolerance: wicks within 8% of each other
ATR filter (multiples of ATR14): ensures only significant-range candles are flagged
When a “50/50” candle forms, it’s visually colored and labeled; audibly alertable.
How to Use It
Long setup: price closes above the wick-high → potential long entry (SL below wick-low, TP = 1:1).
Short setup: price closes below wick-low → potential short entry (SL above wick-high, TP = 1:1).
Especially effective on 5–15 minute scalping charts when aligned with high-volume sessions or HTF trend context.
Why This Indicator Is Unique
Unlike standard wick or doji voters, this script specifically filters for candles with a strong body and symmetrical wicks, paired with a range filter, reducing noise significantly.
Important Notes
No unrealistic claims: backtested setups indicate high occurrence of clean breakouts, though performance depends on market structure.
Script built responsibly: uses real-time calculations only, no future-data lookahead.
Visuals on the published chart reflect default input values exactly.
Global Sessions with Trend & Liquidity Features:
-Session ranges with customizable lines & colors
-Opening range markers and optional background shading
-Automatic trend detection per session (Bullish / Bearish / Neutral)
-Indicators when highs/lows are broken
-Clean visual design with toggles for minimal or detailed display
This Pine Script code is designed to help traders visualize and analyze different market sessions. It's a tool that displays the trading hours for the Asian, London, and New York sessions right on the chart.
The main purpose is to show when these key markets are open and to highlight their price ranges. It also includes features to track the trend within each session and to identify "liquidity sweeps" or moments when the price breaks the high or low of a previous session.
In simple terms, it helps a trader see what the market is doing and where the price is likely to go, all based on the major global trading times. It's especially useful for day traders who want to align their strategies with the activity of specific markets.
P.S. Apologies to users not in the EST timezone! This version is hardcoded to Eastern Standard Time, and I'm not currently sure how to automatically adjust it for different timezones. But you can adjust manually and click the dropdown menu to Save As Default.
Combined Liquidity & Session LevelsPlots session highs and lows, as well as lower timeframe liquidity levels
Smart Money Concepts + Liquidity Voids [LuxAlgo]Liqudiy levels, smart mone concepts, and liquidity voids
Recession Warning Model [BackQuant]Recession Warning Model
Overview
The Recession Warning Model (RWM) is a Pine Script® indicator designed to estimate the probability of an economic recession by integrating multiple macroeconomic, market sentiment, and labor market indicators. It combines over a dozen data series into a transparent, adaptive, and actionable tool for traders, portfolio managers, and researchers. The model provides customizable complexity levels, display modes, and data processing options to accommodate various analytical requirements while ensuring robustness through dynamic weighting and regime-aware adjustments.
Purpose
The RWM fulfills the need for a concise yet comprehensive tool to monitor recession risk. Unlike approaches relying on a single metric, such as yield-curve inversion, or extensive economic reports, it consolidates multiple data sources into a single probability output. The model identifies active indicators, their confidence levels, and the current economic regime, enabling users to anticipate downturns and adjust strategies accordingly.
Core Features
- Indicator Families : Incorporates 13 indicators across five categories: Yield, Labor, Sentiment, Production, and Financial Stress.
- Dynamic Weighting : Adjusts indicator weights based on recent predictive accuracy, constrained within user-defined boundaries.
- Leading and Coincident Split : Separates early-warning (leading) and confirmatory (coincident) signals, with adjustable weighting (default 60/40 mix).
- Economic Regime Sensitivity : Modulates output sensitivity based on market conditions (Expansion, Late-Cycle, Stress, Crisis), using a composite of VIX, yield-curve, financial conditions, and credit spreads.
- Display Options : Supports four modes—Probability (0-100%), Binary (four risk bins), Lead/Coincident, and Ensemble (blended probability).
- Confidence Intervals : Reflects model stability, widening during high volatility or conflicting signals.
- Alerts : Configurable thresholds (Watch, Caution, Warning, Alert) with persistence filters to minimize false signals.
- Data Export : Enables CSV output for probabilities, signals, and regimes, facilitating external analysis in Python or R.
Model Complexity Levels
Users can select from four tiers to balance simplicity and depth:
1. Essential : Focuses on three core indicators—yield-curve spread, jobless claims, and unemployment change—for minimalistic monitoring.
2. Standard : Expands to nine indicators, adding consumer confidence, PMI, VIX, S&P 500 trend, money supply vs. GDP, and the Sahm Rule.
3. Professional : Includes all 13 indicators, incorporating financial conditions, credit spreads, JOLTS vacancies, and wage growth.
4. Research : Unlocks all indicators plus experimental settings for advanced users.
Key Indicators
Below is a summary of the 13 indicators, their data sources, and economic significance:
- Yield-Curve Spread : Difference between 10-year and 3-month Treasury yields. Negative spreads signal banking sector stress.
- Jobless Claims : Four-week moving average of unemployment claims. Sustained increases indicate rising layoffs.
- Unemployment Change : Three-month change in unemployment rate. Sharp rises often precede recessions.
- Sahm Rule : Triggers when unemployment rises 0.5% above its 12-month low, a reliable recession indicator.
- Consumer Confidence : University of Michigan survey. Declines reflect household pessimism, impacting spending.
- PMI : Purchasing Managers’ Index. Values below 50 indicate manufacturing contraction.
- VIX : CBOE Volatility Index. Elevated levels suggest market anticipation of economic distress.
- S&P 500 Growth : Weekly moving average trend. Declines reduce wealth effects, curbing consumption.
- M2 + GDP Trend : Monitors money supply and real GDP. Simultaneous declines signal credit contraction.
- NFCI : Chicago Fed’s National Financial Conditions Index. Positive values indicate tighter conditions.
- Credit Spreads : Proxy for corporate bond spreads using 10-year vs. 2-year Treasury yields. Widening spreads reflect stress.
- JOLTS Vacancies : Job openings data. Significant drops precede hiring slowdowns.
- Wage Growth : Year-over-year change in average hourly earnings. Late-cycle spikes often signal economic overheating.
Data Processing
- Rate of Change (ROC) : Optionally applied to capture momentum in data series (default: 21-bar period).
- Z-Score Normalization : Standardizes indicators to a common scale (default: 252-bar lookback).
- Smoothing : Applies a short moving average to final signals (default: 5-bar period) to reduce noise.
- Binary Signals : Generated for each indicator (e.g., yield-curve inverted or PMI below 50) based on thresholds or Z-score deviations.
Probability Calculation
1. Each indicator’s binary signal is weighted according to user settings or dynamic performance.
2. Weights are normalized to sum to 100% across active indicators.
3. Leading and coincident signals are aggregated separately (if split mode is enabled) and combined using the specified mix.
4. The probability is adjusted by a regime multiplier, amplifying risk during Stress or Crisis regimes.
5. Optional smoothing ensures stable outputs.
Display and Visualization
- Probability Mode : Plots a continuous 0-100% recession probability with color gradients and confidence bands.
- Binary Mode : Categorizes risk into four levels (Minimal, Watch, Caution, Alert) for simplified dashboards.
- Lead/Coincident Mode : Displays leading and coincident probabilities separately to track signal divergence.
- Ensemble Mode : Averages traditional and split probabilities for a balanced view.
- Regime Background : Color-coded overlays (green for Expansion, orange for Late-Cycle, amber for Stress, red for Crisis).
- Analytics Table : Optional dashboard showing probability, confidence, regime, and top indicator statuses.
Practical Applications
- Asset Allocation : Adjust equity or bond exposures based on sustained probability increases.
- Risk Management : Hedge portfolios with VIX futures or options during regime shifts to Stress or Crisis.
- Sector Rotation : Shift toward defensive sectors when coincident signals rise above 50%.
- Trading Filters : Disable short-term strategies during high-risk regimes.
- Event Timing : Scale positions ahead of high-impact data releases when probability and VIX are elevated.
Configuration Guidelines
- Enable ROC and Z-score for consistent indicator comparison unless raw data is preferred.
- Use dynamic weighting with at least one economic cycle of data for optimal performance.
- Monitor stress composite scores above 80 alongside probabilities above 70 for critical risk signals.
- Adjust adaptation speed (default: 0.1) to 0.2 during Crisis regimes for faster indicator prioritization.
- Combine RWM with complementary tools (e.g., liquidity metrics) for intraday or short-term trading.
Limitations
- Macro indicators lag intraday market moves, making RWM better suited for strategic rather than tactical trading.
- Historical data availability may constrain dynamic weighting on shorter timeframes.
- Model accuracy depends on the quality and timeliness of economic data feeds.
Final Note
The Recession Warning Model provides a disciplined framework for monitoring economic downturn risks. By integrating diverse indicators with transparent weighting and regime-aware adjustments, it empowers users to make informed decisions in portfolio management, risk hedging, or macroeconomic research. Regular review of model outputs alongside market-specific tools ensures its effective application across varying market conditions.
Order Blocks v2Order Blocks v2 – Smart OB Detection with Time & FVG Filters
Order Blocks v2 is an advanced tool designed to identify potential institutional footprints in the market by dynamically plotting bullish and bearish order blocks.
This indicator refines classic OB logic by combining:
Fractal-based break conditions
Time-level filtering (Power of 3)
Optional Fair Value Gap (FVG) confirmation
Real-time plotting and auto-invalidation
Perfect for traders using ICT, Smart Money, or algorithmic timing models like Hopplipka.
🧠 What the indicator does
Detects order blocks after break of bullish/bearish fractals
Supports 3-bar or 5-bar fractal structures
Allows OB detection based on close breaks or high/low breaks
Optionally confirms OBs only if followed by a Fair Value Gap within N candles
Filters OBs based on specific time levels (3, 7, 11, 14) — core anchors in many algorithmic models
Automatically deletes invalidated OBs once price closes through the zone
⚙️ How it works
The indicator:
Tracks local fractal highs/lows
Once a fractal is broken by price, it backtracks to identify the best OB candle (highest bullish or lowest bearish)
Validates the level by checking:
OB type logic (close or HL break)
Time stamp match with algorithmic time anchors (e.g. 3, 7, 11, 14 – known from the Power of 3 concept)
Optional FVG confirmation after OB
Plots OB zones as lines (body or wick-based) and removes them if invalidated by a candle close
This ensures traders see only valid, active levels — removing noise from broken or out-of-context zones.
🔧 Customization
Choose 3-bar or 5-bar fractals
OB detection type: close break or HL break
Enable/disable OBs only on times 3, 7, 11, 14 (Hopplipka style)
Optional: require nearby FVG for validation
Line style: solid, dashed, or dotted
Adjust OB length, width, color, and use body or wick for OB height
🚀 How to use it
Add the script to your chart
Choose your preferred OB detection mode and filters
Use plotted OB zones to:
Anticipate price rejections and reversals
Validate Smart Money or ICT-based entry zones
Align setups with algorithmic time sequences (3, 7, 11, 14)
Filter out invalid OBs automatically, keeping your chart clean
The tool is useful on any timeframe but performs best when combined with a liquidity-based or time-anchored trading model.
💡 What makes it original
Combines fractal logic with OB confirmation and time anchors
Implements time-based filtering inspired by Hopplipka’s interpretation of the "Power of 3"
Allows OB validation via optional FVG follow-up — rarely available in public indicators
Auto-cleans invalidated OBs to reduce clutter
Designed to reflect market structure logic used by institutions and algorithms
💬 Why it’s worth using
Order Blocks v2 simplifies one of the most nuanced parts of SMC: identifying clean and high-probability OBs.
It removes subjectivity, adds clear timing logic, and integrates optional confluence tools — like FVG.
For traders serious about algorithmic-level structure and clean setups, this tool delivers both logic and clarity.
⚠️ Important
This indicator:
Is not a signal generator or financial advice tool
Is intended for experienced traders using OB/SMC/time-based logic
Does not predict market direction — it provides visual structural levels only
ryantrad3s session highs and lowsThis indicator allows you find London Session and Asia Session highs and lows without marking them yourself. This indicator can also help you find good draws on liquidity for the day and potential highs and lows you can target during that trading day. I recommend trading NQ and ES with this indicator because that's what I seen it work best with. The blue lines are London Session high and low and the red lines are Asia Session high and low. Hope this can save you time marking out your chart before market open.
Smarter Money Concepts - MTF IFVGs [PhenLabs]📊 Smarter Money Concepts - MTF IFVG
Version: PineScript™ v6
📌 Description
This multi-timeframe indicator identifies Inverse Fair Value Gaps (IFVGs) and their inversions across simultaneous chart intervals, helping traders spot liquidity voids and potential reversal zones. By analyzing price action through the lens of institutional order flow patterns, it solves the problem of manual gap tracking across timeframes while incorporating volatility-adjusted parameters and psychological level analysis for higher-probability setups.
🚀 Points of Innovation
• Multi-Timeframe Engine - Simultaneous analysis of 3 higher timeframes
• Adaptive Parameters - Auto-adjusts to market volatility conditions
• Quality Scoring System - Ranks gaps using RVI strength and size metrics
• Inversion Tracking - Monitors failed gaps for counter-trend signals
• Render Optimization - Prevents chart clutter with smart gap management
🔧 Core Components
FVG Detection Logic: Identifies gaps using customizable price source (Close/Wick)
Inversion Tracker: Manages failed gaps and generates counter signals
Multi-Timeframe Engine: Processes 3 independent higher timeframe analyses
Dashboard System: Real-time display of active gaps across all timeframes
🔥 Key Features
• Volatility-adjusted gap size filters (ATR-based)
• Customizable timeframe confluence analysis
• Color-coded quality scoring
• Non-repainting inversion signals
• Mobile-optimized visual rendering
🎨 Visualization
• Colored Boxes: Translucent zones show active gaps (green/bullish, red/bearish)
• Midline Plot: Dashed gray line marks gap midpoint for price targets
• Inversion Markers: Intense colors show failed gaps (dark red/bullish failure, bright green/bearish failure)
• HTF Differentiation: Higher timeframe gaps shown in blue/teal hues
📖 Usage Guidelines
Multi-Timeframe Settings
• Higher Timeframe 1
Default: 30 | Range: Any > Chart TF | Controls primary confluence timeframe
• Show All Timeframes
Default: True | Toggles multi-TF gap displays
Gap Settings
• Source
Default: Close | Options: | Determines gap measurement method
• RVI Period
Default: 14 | Range: 1-50 | Sets momentum confirmation sensitivity
• RVI Value
Default 0.1 | 0 to see all IFVGs | Increase min RVI to see the most powerful IFVGs
✅ Best Use Cases
• Identifying confluence across timeframes
• Spotting institutional order blocks
• High-probability reversal trading
• Trend continuation confirmation
• Volatility breakout setups
⚠️ Limitations
• Repaints historical gap zones
• Requires understanding of FVG concepts
• Higher timeframe data latency
• Quality scores rely on RVI/ATR settings
💡 What Makes This Unique
First FVG indicator with true multi-timeframe processing
Adaptive parameters that auto-adjust to volatility
Quantifiable quality scoring system
Professional-grade dashboard with HTF tracking
🔬 How It Works
Gap Detection: Identifies FVGs using price relationships and RVI confirmation
Inversion Tracking: Monitors price breaches to flag failed gaps
Quality Assessment: Scores gaps based on size, momentum, and location
Adaptive Filtering: Adjusts parameters using ATR-based volatility analysis
Multi-TF Synthesis: Correlates gaps across user-selected timeframes
Visual Rendering: Displays only relevant, active gaps to prevent clutter
💡 Note:
Start with default settings and gradually adjust parameters after observing market interactions. Focus on gaps with quality scores above 7 that align with higher timeframe trends. Combine with price action at psychological levels for highest-probability setups. Remember that higher timeframe gaps generally carry more significance than current chart gaps.
MACD Liquidity Tracker SystemMACD Liquidity Tracker System
🔹 Enhanced MACD with candle coloring, entry markers, and customizable signal logic.
🧠 Features:
This tool combines a color-coded MACD histogram with signal-based candle colors and small shape markers (🔼🔽) for clear market momentum and entry visualization.
📊 Visuals:
MACD Histogram (Sub-panel):
4 dynamic colors to show momentum direction:
🔹 Bright Blue = MACD > 0 & rising (strong bullish)
🔹 Dark Blue = MACD > 0 & falling (weakening bullish)
🔹 Bright Magenta = MACD < 0 & falling (strong bearish)
🔹 Dark Magenta = MACD < 0 & rising (weakening bearish)
Price Candles (Main Chart):
🔹 Bright Blue = Active Long signal
🔹 Bright Magenta = Active Short signal
Entry Markers:
🔼 Blue triangle (below candle) = Start of Long
🔽 Magenta triangle (above candle) = Start of Short
⚙️ System Types (select in settings):
Normal:
🔹 Long = MACD > 0
🔹 Short = MACD < 0
Fast: (Based on histogram color)
🔹 Long = Bright Blue OR Dark Magenta
🔹 Short = Dark Blue OR Bright Magenta
Safe:
🔹 Long = Only Bright Blue
🔹 Short = All other colors
🔔 Alerts:
Alerts trigger only on the first bar of a new Long/Short signal.
Easy to set up using TradingView’s alert system.
📌 How to Use:
Add the indicator to your chart
Open settings and select a System Type
Adjust MACD parameters if needed
Use histogram color + candle color for momentum and signal confirmation
Set alerts for clean entries if desired
💡 Ideal for traders seeking visual clarity and flexible MACD-based strategies.
Global Liquidity Indicator in USDThis indicator aggregates the total central bank balance sheets and M2 money supply for the USA, Canada, China, European Union, Japan, and the UK, converting all values to USD and normalizing them to trillions for easy visualization. It plots three lines: Total Balance Sheet, Total M2, and Combined Total, providing a comprehensive view of global liquidity trends.
Key Features:
Dynamic Coloring: Customize line colors based on direction—green for upward trends, red for downward (or any colors you choose), with independent on/off toggles for each line.
Real-Time Currency Conversion: Uses live forex rates (e.g., USD/CNY, USD/EUR) for accurate USD conversions.
Bitcoin Liquidity Breakout with ICT StrategiesBitcoin Liquidity Breakout with ICT Strategies
a one of many scripts developed by our engineers .
Check the results for yourself
Pivot Liquidity Sweep + SignalsCore Functionalities:
Sweep Signals:
The indicator identifies sweeps of liquidity by detecting when price exceeds recent pivot highs (swing highs) or pivot lows (swing lows) and then reverses direction. It draws attention to these scenarios by labeling them on the chart.
For bullish sweep signals, the entry point is the closing price of the sweep candle, with the stop loss placed at the highest point between the sweep candle and the previous candle.
For bearish sweeps, the entry point is similarly identified, with the stop loss being the lowest price of the sweep candle and the candle before it. The profit target is dynamically set to the low or high of the closest valid pivot depending on the direction of the trade.
Rejection Signals:
Rejection signals are identified when price attempts to break a pivot high or low but fails, causing a rejection.
Bullish rejections involve price trying to break a pivot low but closing back above it, indicating potential for a bounce.
Bearish rejections follow a similar pattern, with price attempting to break a pivot high but failing to hold above it, signaling a potential bearish move.
High-Precision Intrabar Data:
The "Intrabar Precision" feature allows the indicator to use lower timeframe data to accurately plot sweeps and rejections, providing traders with precise entry and exit points.
The intrabar settings are particularly useful for traders looking for high-precision trades, such as scalpers who want to capture small yet consistent moves.
ATR and Percentage-Based Filters:
The indicator allows for customizable filters to ensure signals meet certain thresholds before being validated. Traders can use ATR (Average True Range) or percentage-based conditions to filter out low-quality signals, ensuring that the trades captured have enough volatility or price movement potential.
Dashboard:
The built-in dashboard provides a quick overview of trades executed using the indicator, displaying metrics such as the total number of sweep and rejection trades, their success rates, and total profit in points.
The dashboard is color-coded for easy reading and offers traders insights into the overall performance of their strategy, helping with ongoing evaluation and optimization.
Labeling and Alerts:
Every time a sweep or rejection signal is detected, the indicator automatically labels the chart to help traders quickly identify the trading opportunities.
Alerts are also generated for each trading signal, providing the trader with real-time notifications, which can be useful for those who are not constantly monitoring their charts.
Stop Loss and Target Adaptation:
The stop loss levels are adjusted dynamically based on the recent pivot points, and the target profit is derived from valid subsequent pivot levels to ensure realistic and efficient trade exits.
Custom Opening Price Levels (PO3)This indicator is designed to assist the trader in identifying the Power of Three through the opens of the candles.
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The PO3 is a concept introduced by ICT. First, you need to have a directional bias for the month or the specific candle in question. It should be of high time frame (HTF BIAS).
At the open of the specific candle, the market will generate interest in the direction opposite to the HTF BIAS, accumulating positions. It will then manipulate the positions of less informed traders to generate the necessary liquidity to fill informed operators positions.
Finally, positions are distributed in favor of the bias.
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The PO3 is a phenomenon that repeats across all timeframes. This indicator is highly customizable and allows the user to choose from a range of timeframes: 3 months, 1 month, 1 week, 1 day, and 3 hours. The indicator displays the last 3 opens for the selected period.
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The script is open-source, so feel free to add more timeframes or open levels if you have coding skills.
Market Structure Volume Distribution [LuxAlgo]The Market Structure Volume Distribution tool allows traders to identify the strength behind breaks of market structure at defined price ranges to measure de correlation of forces between bulls and bears visually and easily.
🔶 USAGE
This tool has three main features: market structure highlighting, grid levels, and volume profile. Each feature is covered more in depth below:
🔹 Market Structure
The basic unit of market structure is a swing point, the period of the swing point is user-defined, so traders can identify longer-term market structures. Price breaking a prior swing point will confirm the occurrence of a market structure.
The tool will plot a line after a market structure is confirmed, by default the lines on bullish MS will be green (indicative of an uptrend), and red in case of bearish MS (indicative of a downtrend).
🔹 Grid Levels
The Grid visually divides the price range contained inside the tool execution window, into equal size rows, the number of rows is user-defined so users can divide the full price range up to 100 rows.
The main objective of this feature is to help identify the execution window and the limits of each row in the volume profile so traders can know in a simple look what BoMS belongs to each row.
There is however another use for the grid, by dividing the range into equal-sized parts, this feature provides automatic support and resistance levels as good as any other.
Grid provides a visual help to know what our execution window is and to associate MS with their rows in the profile. It can provide S/R levels too.
🔹 Volume Profile
The volume profile feature shows in a visually easy way the volume behind each MS aggregated by rows and divided into buy and sell volume to spot the differences in a simple look.
This tool allows users to spot the liquidity associated with the event of a market structure in a specific price range, allowing users to know which price areas where associated with the most trading activity during the occurrence of a market structutre.
🔶 SETTINGS
🔹 Data Gathering
Execute on all visible range: Activate this to use all visible bars on the calculations. This disables the use of the next parameter "Execute on the last N bars". Default false.
Execute on the last N bars: Use last N bars on the calculations. To use this parameter "Execute on all visible range" must be disabled. Values from 20 to 5000, default 500.
Pivot Length: How many bars will be used to confirm a pivot. The bigger this parameter is the fewer breaks of structure will detect. Values from 1, default 2
🔹 Profile
Profile Rows: Number of rows in the volume profile. Values from 2 to 100, default 10.
Profile Width: Maximum width of the volume profile. Values from 25 to 500, default 200.
Profile Mode: How the volume will be displayed on each row. "TOTAL VOLUME" will aggregate buy & sell volume per row, "BUY&SELL VOLUME" will separate the buy volume from the sell volume on each row. Default BUY&SELL VOLUME.
🔹 Style
Buy Color: This is the color for the buy volume on the profile when the "BUY&SELL VOLUME" mode is activated. Default green.
Sell Color: This is the color for the sell volume on the profile when the "BUY&SELL VOLUME" mode is activated. Default red.
Show dotted grid levels: Show dotted inner grid levels. Default true.
Dynamic Liquidity Map [Kioseff Trading]Hello!
Just a quick/fun project here: "Dynamic Heatmap".
This script draws a volume delta or open interest delta heatmap for the asset on your chart.
The adjective "Dynamic" is used for two reasons (:
1: Self-Adjusting Lower Timeframe Data
The script requests ~10 lower timeframe volume and open interest data sets.
When using the fixed range feature the script will, beginning at the start time, check the ~10 requested lower timeframes to see which of the lower timeframes has available data.
The script will always use the lowest timeframe available during the calculation period. As time continues, the script will continue to check if new lower timeframe data (lower than the currently used lowest timeframe) is available. This process repeats until bar time is close enough to the current time that 1-minute data can be retrieved.
The image above exemplifies the process.
Incrementally lower timeframe data will be used as it becomes available.
1: Fixed range capabilities
The script features a "fixed range" tool, where you can manually set a start time (or drag & drop a bar on the chart) to determine the interval the heatmap covers.
From the start date, the script will calculate the calculate the sub-intervals necessary to draw a rows x columns heatmap. Consequently, setting the start time further back will draw a heat map with larger rows x columns, whereas, a start time closer to the current bar time will draw a more "precise" heatmap with smaller rows x columns.
Additionally, the heatmap can be calculated using open interest data.
The image above shows the heatmap displaying open interest delta.
The image above shows alternative settings for the heatmap.
Delta values have been hidden alongside grid border colors. These settings can be replicated to achieve a more "traditional" feel for the heatmap.
Thanks for checking this out!