Social SentimentThe Social Sentiment Indicator aggregates social sentiment data from Telegram and LunarCrush , normalizing and smoothing the data to create an intuitive, adaptive sentiment signal. By comparing positive and negative sentiment from Telegram with LunarCrush's sentiment percentages, this indicator provides a visual representation of aggregated market sentiment.
This script provides context for market sentiment, helping traders understand crowd psychology and its potential impact on price action. It excels at identifying moments of extreme optimism or pessimism, which can act as confirmations or warnings in a broader trading strategy.
This tool provides context but lacks direct buy/sell signals. Works best in trending or volatile markets but should be combined with other indicators for a complete trading strategy.
Sentiment
Portfolio [Afnan]🚀 Portfolio - Advanced Portfolio Management Indicator 📊
A game-changing portfolio management tool designed to help traders stay on top of their positions and manage risk efficiently. This indicator combines detailed tracking, real-time analytics, and visual clarity to ensure traders are well-equipped for the dynamic world of financial markets.
📈 Key Features 💡
Track up to 14 positions with ease
Real-time Profit & Loss (P&L) updates and risk metrics
Visual representation of entry, stop-loss (SL), and target levels
Alerts for stop-loss breaches and target achievements
Comprehensive portfolio summaries for quick analysis
Customizable options to suit individual trading styles
🔍 Main Components ⚙️
📊 1. Position Tracking
Detailed position data: entry, stop-loss, target levels, and more
Real-time risk-reward ratios
Insights into position size and exposure percentages
Continuous updates on P&L in real-time
📉 2. Visual Indicators
Clear visual markers for entry, SL, and target prices
Price labels with detailed percentage changes
Indicators that show the current position's market status
💼 3. Portfolio Summary
Aggregate account values and exposure
Summarized P&L metrics across all positions
Risk management insights for better decision-making
Daily performance tracking to evaluate strategies
⚠️ 4. Alert System
Instant notifications for stop-loss breaches
Alerts when target prices are hit
Alerts operate for the current chart symbol
⚡ Customization Options 🎨
Show or hide specific data columns
Adjust the table's position and size for better visibility
Personalize color schemes and text styles
Switch between full portfolio view and single symbol focus
📱 How to Use 📝
Input your positions in the indicator's settings
Enable or disable specific positions dynamically
Customize display preferences to your liking
Set up alerts for proactive risk management
Monitor all your trading activities in one comprehensive dashboard
📌 Important Notes ℹ️
Compatible with any trading symbol
Updates seamlessly during market hours
Alerts are specific to the currently active chart symbol
Maximum capacity: 14 simultaneous positions
Created by: @AfnanTAjuddin
⚠️ Disclaimer ⚠️
This indicator is a tool for informational purposes only. Ensure all calculations are verified and consult a financial professional before making investment decisions.
🎯 "Stay disciplined, trade smart, and let data guide your decisions." 📊
Previous Candle AverageDescription:
The Previous Candle Average indicator is a powerful tool designed to provide traders with insights into market momentum by visualizing the relationship between the current and previous open levels for a customizable timeframe. This versatile indicator allows you to select from various timeframes, including 1 Month, 1 Week, 1 Day, 8 Hours, 4 Hours, and 1 Hour, making it suitable for different trading strategies, whether you're a swing trader, day trader, or scalper.
The indicator plots the Current Open and Previous Open levels for the selected timeframe and calculates the average value between them. By displaying these critical levels, traders can quickly gauge the current market dynamics relative to the previous period, making it easier to identify support, resistance, or trend continuation.
Key Features:
Custom Timeframe Selection: Easily select the desired timeframe from a variety of options (1M, 1W, 1D, 8H, 4H, 1H) to align with your trading strategy.
Current and Previous Open Levels: The indicator plots both the Current Open and Previous Open levels for the chosen timeframe, providing clear visual guidance on where the market is opening relative to the previous period.
Open Fill with Adjustable Transparency: The area between the Current Open and Previous Open levels is filled with color to represent the relationship between the two. The fill color changes based on whether the Current Open is above or below the Previous Open, with a default 20% opacity for better clarity without overwhelming the chart.
Average Line: The indicator also plots the average value between the Current Open and Previous Open levels, painted by default in a solid white color with a line thickness of 2. This average helps identify potential key levels where the price might react.
Dynamic Coloring: The fill color changes dynamically based on whether the Current Open is higher or lower than the Previous Open, using green to indicate bullish behavior and red for bearish behavior.
How to Use:
The Previous Candle Average indicator can help traders identify the momentum of the market by visually comparing the relationship between consecutive open levels.
Use the Average Line as a reference for potential support or resistance, especially when the market opens near this average.
The Open Fill color can quickly indicate a shift in market sentiment. A green fill suggests that the market is opening stronger than the previous period, while a red fill indicates weakness.
Best Practices:
Combine this indicator with other technical analysis tools, such as trend lines, moving averages, or volume analysis, to confirm potential trading opportunities.
The custom timeframe feature is particularly useful for multi-timeframe analysis. For instance, you can monitor weekly open levels while trading on an hourly chart.
Note: The indicator uses real-time open data and is updated accordingly, ensuring there is no delay or repainting of historical values.
Ideal For:
Traders who want a clear visual representation of market open levels relative to previous periods.
Those who want to identify potential shifts in momentum by comparing open levels across different timeframes.
Traders seeking to add an additional layer of analysis to their existing strategy by incorporating key opening levels and their averages.
Engulfing bar detectorHere’s the updated description with the added step about using Fibonacci levels across timeframes for confirmation:
Liquidity Engulfing Bar Detector
The **Liquidity Engulfing Bar Detector** is a powerful tool designed for traders who want to identify high-probability reversal patterns in the market based on liquidity grabbing and price action. This indicator highlights **Bullish Engulfing** and **Bearish Engulfing** bars that fulfill specific liquidity criteria, helping you spot potential trend reversals and trading opportunities.
**Features**:
1. **Bullish Engulfing Bars**:
- The current candle's low dips below the previous candle's low (grabs liquidity).
- The current candle closes above the previous candle's open.
- A green label is plotted above the engulfing bar for easy identification.
2. **Bearish Engulfing Bars**:
- The current candle's high exceeds the previous candle's high (grabs liquidity).
- The current candle closes below the previous candle's open.
- A red label is plotted below the engulfing bar for clear visibility.
3. **Customizable Alerts**:
- Receive instant notifications via TradingView alerts when a bullish or bearish engulfing pattern is detected.
- Alerts are fully customizable, allowing you to stay updated without actively monitoring the chart.
4. **Visual Markers**:
- Clear and intuitive labels make it easy to spot key patterns directly on your chart.
- Fully integrated with any timeframe and market, ensuring versatility for all trading styles.
---
### **How to Use**:
1. **Add the Indicator**:
- Apply the Liquidity Engulfing Bar Detector to your chart to automatically highlight bullish and bearish engulfing bars.
2. **Enable Alerts**:
- Set up TradingView alerts to get notified of potential setups in real-time.
3. **Analyze with Fibonacci Levels**:
- Draw a Fibonacci retracement tool over the identified engulfing bar, from its low to its high (for bullish patterns) or high to low (for bearish patterns).
- Use the following Fibonacci levels as key zones of interest:
- **0.0 (start)**, **0.25**, **0.5 (midpoint)**, **0.75**, and **1.0 (end)**.
- These levels often act as critical support or resistance zones for price action.
4. **Use Multi-Timeframe Confirmation**:
- Validate zones from higher timeframes using lower timeframe candles:
- **1-minute candles** for confirming zones on the **15-minute chart**.
- **5-minute candles** for confirming zones on the **1-hour chart**.
- **15-minute candles** for confirming zones on the **4-hour chart**.
- This approach ensures precision in your entry points and aligns intraday movements with higher timeframe setups.
5. **Integrate with Your Strategy**:
- Combine the indicator with other tools (e.g., trendlines, moving averages, or volume analysis) for confirmation.
- Use proper risk management to maximize your trading edge.
---
### **Why Use This Indicator?**
Liquidity grabs often signal the participation of major market players, which can lead to significant reversals or continuations. By combining liquidity concepts with engulfing bar patterns and Fibonacci analysis, this indicator helps you:
- Identify key market turning points.
- Improve your entries and exits with multi-timeframe precision.
- Enhance your trading strategy with an edge rooted in smart money concepts.
---
**Note**: This indicator is best used with proper risk management and alongside other technical or fundamental analyses.
---
Let me know if there's anything more you'd like to include!
Dynamic Spot vs Perp Spread### **Description for TradingView Publication**
---
**Dynamic Spot vs Perp Spread**
(For USDT-Spot and USDT.P-Perp)
Summary of Usefulness:
This indicator is a valuable tool for traders who want to monitor and capitalize on the relationship between spot and perpetual futures (perp) prices. When the spot price exceeds the perp price, it's often a leading signal that the perp price will follow, creating potential trading opportunities. While this behavior doesn't happen every time, divergences between spot and perp prices can frequently signal significant market movements.
What it Does:
This indicator calculates and displays the price spread (percentage difference) between the spot price and perpetual futures (perp) price of a cryptocurrency asset. It dynamically adjusts to the instrument being viewed, ensuring that spot dominance (spot price higher) is plotted above the zero line and perp dominance (perp price higher) is plotted below the zero line. Additionally, the indicator accounts for symbols with multipliers (e.g., `1000SHIBUSDT.P`) to ensure accurate calculations.
Key features include:
- Automatic symbol detection and adjustment for Spot/Perp pairs.
- Dynamic handling of price multipliers for assets with prefixes like `1000`.
- Visualization of spread with a histogram and optional smoothing using an EMA (Exponential Moving Average).
- Configurable alerts for significant spread changes and spread flips.
- No repainting: the indicator uses the `barmerge.lookahead_off` setting to ensure stable, non-repainting values.
---
### **How to Use**
1. **Add the Indicator:**
- Search for "Dynamic Spot vs Perp Spread" in the TradingView Indicators library and add it to your chart.
2. **Understand the Visualization:**
- A positive spread (green histogram) indicates that the spot price is higher than the perp price (spot dominance).
- A negative spread (red histogram) indicates that the perp price is higher than the spot price (perp dominance).
3. **Customize Settings:**
- **EMA Length:** Use the input field to smooth the spread data over a chosen number of periods.
- **Alert Threshold:** Set a threshold to receive alerts when the spread exceeds a specific percentage.
4. **Receive Alerts:**
- Enable alerts for spread flips (when dominance shifts between spot and perp) or when the spread exceeds the defined threshold.
5. **Use Case Examples:**
- **Spot vs. Perp Arbitrage:** Traders can monitor significant deviations between spot and perp prices to identify potential arbitrage opportunities.
- **Market Sentiment Analysis:** Persistent spot dominance may indicate stronger buying interest in the spot market, while perp dominance may suggest futures market speculation.
---
### **Repainting Behavior**
This indicator **does not repaint** because it uses `barmerge.lookahead_off` for all calculations, ensuring that data from the comparison symbol (spot or perp) is locked to the currently completed candle. This means the values plotted and alerts triggered are reliable and do not change retrospectively.
Repainting occurs when an indicator uses future-looking or incomplete data for calculations. By design, this indicator avoids such practices, making it suitable for live trading and analysis.
---
Candlestick Strength and Volatility ReadoutDisplays a readout on the top right corner of the screen displaying a two basic calculations (volatility and strength; i.e. candlestick size and how close to the highs or lows it closed) for more convenient candlestick (price action) analysis.
Due to restrictions with Pine Script (or my knowledge thereof) only the current and previous candlestick data is shown, rather than the one currently hovered over.
The data is derived via two simple calculations; volatility being division between the range of the candlestick's high and low by the ATR; 'strength' (what I like to call it) being the range of the body by the range of the open to high or low, depending on the facing direction (positive or negative candlestick). These are expressed as percentages and will turn green depending on the set threshold.
Using this, one can effectively automate calculations you'd have to do by hand otherwise. I personally use these as entry filters in my trading, so it helps to not have to measure, remeasure, and divide before each potential entry.
Settings are implemented to change certain variables to your liking.
Whale Activity Whale Activity Indicator
The Whale Activity Indicator is a custom technical analysis tool designed to identify significant trading activities—often referred to as "whale" trades—based on unusually large dollar volumes in the market. This indicator helps traders visualize potential large-scale buying or selling that may influence market movements.
Key Features:
Whale Activity Detection:
Identifies bars where the dollar volume exceeds a specified multiple of the average dollar volume over a certain period.
Highlights potential institutional trades or significant market moves.
Visual Representation:
Histogram Bars: Plots the dollar volume of detected whale activities as red histogram bars in the lower pane.
Trendline: Displays a blue line representing the average whale dollar volume over a user-defined number of past whale activities.
Variable Table: Shows key metrics such as the total number of whale activities, last whale activity volume, and the average whale activity volume.
How It Works:
Dollar Volume Calculation:
Calculates the dollar volume for each bar by multiplying the closing price by the volume.
Average Dollar Volume:
Computes the average dollar volume over a user-defined lookback period to establish a baseline for typical trading activity.
Whale Activity Identification:
Detects whale activities when the current dollar volume exceeds a specified multiplier of the average dollar volume.
Averaging Whale Activities:
Accumulates the dollar volumes and counts of whale activities to calculate an average over a specified number of past events.
Visualization and Metrics:
Plots the whale activities and average trendline for visual analysis.
Displays important variables in a table for quick reference.
Risks and Important Considerations:
Not a Stand-Alone Indicator:
The Whale Activity Indicator should not be used in isolation. It is essential to combine it with other technical analysis tools, fundamental analysis, and sound risk management practices.
Potential for False Signals:
High dollar volume does not always indicate significant institutional trading or market shifts. It may result from market anomalies, news events, or large retail trades.
Lagging Information:
The average trendline is based on historical data and may lag behind current market conditions, potentially providing delayed signals.
Market Variability:
Market conditions can affect the indicator's effectiveness. Volatile markets may produce more frequent signals, which could lead to confusion or overtrading.
Data Limitations:
The accuracy of the indicator depends on the quality and timeliness of the price and volume data. Inaccurate or delayed data can lead to misleading signals.
Risk of Financial Loss:
Trading involves significant risk, and there is the potential for substantial losses. The indicator does not guarantee successful trades.
Disclaimer:
The Whale Activity Indicator is a tool designed to assist traders in identifying unusual trading volumes that may signify significant market activity. However, it should not be used as the sole basis for any trading decision. All trading strategies carry risk, and past performance is not indicative of future results. Traders should conduct thorough research and consider consulting a qualified financial advisor before making any investment decisions. Use this indicator at your own risk.
Note: Always ensure you understand how an indicator works and test it thoroughly using historical data and paper trading before applying it to live trading scenarios.
Buy vs Sell VolumeHow It Works:
BuyVol: Estimates buying volume by calculating the proportion of volume attributed to the upward price movement within each bar.
SellVol: Estimates selling volume by calculating the proportion of volume attributed to the downward price movement within each bar.
Customization:
length: You can adjust the length input parameter to change the period over which the average is calculated.
Visualization:
The buy trendline is plotted in Green and represents the average net buying vs. selling volume over the specified period.
The sell trendline is plotted in Red and represents the average net selling vs. buying volume over the specified period.
Note: This script provides an approximation and should be used in conjunction with other analysis tools to make informed trading decisions.
Max Pain StrategyThe Max Pain Strategy uses a combination of volume and price movement thresholds to identify potential "pain zones" in the market. A "pain zone" is considered when the volume exceeds a certain multiple of its average over a defined lookback period, and the price movement exceeds a predefined percentage relative to the price at the beginning of the lookback period.
Here’s how the strategy functions step-by-step:
Inputs:
length: Defines the lookback period used to calculate the moving average of volume and the price change over that period.
volMultiplier: Sets a threshold multiplier for the volume; if the volume exceeds the average volume multiplied by this factor, it triggers the condition for a potential "pain zone."
priceMultiplier: Sets a threshold for the minimum percentage price change that is required for a "pain zone" condition.
Calculations:
averageVolume: The simple moving average (SMA) of volume over the specified lookback period.
priceChange: The absolute difference in price between the current bar's close and the close from the lookback period (length).
Pain Zone Condition:
The condition for entering a position is triggered if both the volume is higher than the average volume by the volMultiplier and the price change exceeds the price at the length-period ago by the priceMultiplier. This is an indication of significant market activity that could result in a price move.
Position Entry:
A long position is entered when the "pain zone" condition is met.
Exit Strategy:
The position is closed after the specified holdPeriods, which defines how many periods the position will be held after being entered.
Visualization:
A small triangle is plotted on the chart where the "pain zone" condition is met.
The background color changes to a semi-transparent red when the "pain zone" is active.
Scientific Explanation of the Components
Volume Analysis and Price Movement: These are two critical factors in trading strategies. Volume often serves as an indicator of market strength (or weakness), and price movement is a direct reflection of market sentiment. Higher volume with significant price movement may suggest that the market is entering a phase of increased volatility or trend formation, which the strategy aims to exploit.
Volume analysis: The study of volume as an indicator of market participation, with increased volume often signaling stronger trends (Murphy, J. J., Technical Analysis of the Financial Markets).
Price movement thresholds: A large price change over a short period may be interpreted as a breakout or a potential reversal point, aligning with volatility and liquidity analysis (Schwager, J. D., Market Wizards).
Repainting Check: This strategy does not involve any repainting because it is based on current and past data, and there is no reference to future values in the decision-making process. However, any strategy that uses lagging indicators or conditions based on historical bars, like close , is inherently a lagging strategy and might not predict real-time price action accurately until after the fact.
Risk Management: The position hold duration is predefined, which adds an element of time-based risk control. This duration ensures that the strategy does not hold a position indefinitely, which could expose it to unnecessary risk.
Potential Issues and Considerations
Repainting:
The strategy does not utilize future data or conditions that depend on future bars, so it does not inherently suffer from repainting issues.
However, since the strategy relies on volume and price change over a set lookback period, the decision to enter or exit a trade is only made after the data for the current bar is complete, meaning the trade decisions are somewhat delayed, which could be seen as a lagging feature rather than a repainting one.
Lagging Nature:
As with many technical analysis-based strategies, this one is based on past data (moving averages, price changes), meaning it reacts to market movements after they have already occurred, rather than predicting future price actions.
Overfitting Risk:
With parameters like the lookback period and multipliers being user-adjustable, there is a risk of overfitting to historical data. Adjusting parameters too much based on past performance can lead to poor out-of-sample results (Gauthier, P., Practical Quantitative Finance).
Conclusion
The Max Pain Strategy is a simple approach to identifying potential market entries based on volume spikes and significant price changes. It avoids repainting by relying solely on historical and current bar data, but it is inherently a lagging strategy that reacts to price and volume patterns after they have occurred. Therefore, the strategy can be effective in trending markets but may struggle in highly volatile, sideways markets.
Z_MUTIL_CANDEL_v1The Z_MUTIL_CANDEL_v1 indicator is designed to visually represent detailed candlestick information on a chart, overlaying multiple custom candlesticks based on a selected timeframe. This tool provides an enhanced visual understanding of price dynamics, making it easier to analyze trends and volatility.
Key Features:
Customizable Timeframe:
The indicator allows users to select a custom timeframe (default: Daily).
Displays candlestick data (Open, High, Low, Close) from the chosen timeframe.
Custom Candlestick Drawing:
Draws additional candlesticks at customizable positions to visualize key price levels:
Open/Close lines: Highlighted with solid white horizontal lines.
High/Low boxes: Represent the candlestick body and shadows with adjustable colors.
Candlestick colors:
Green: For bullish candles (Close >= Open).
Red: For bearish candles (Close < Open).
Detailed Labels:
Displays information next to the candlestick, including:
The selected timeframe.
Time left for the current bar to close (in HH:mm
format).
The candlestick range (High - Low).
Dynamic Background Highlight:
Highlights the chart's background in red with 80% transparency during a specific time (e.g., 9:00 AM to 9:01 AM).
Customizable Inputs:
Body size (pixels): Adjustable position of the custom candlesticks on the chart.
Show Candlestick Option: Option to display or hide the additional candlesticks.
Multiple Candlestick Layers:
Supports overlaying multiple custom candlesticks for comparison or enhanced visualization.
Practical Applications:
Enhanced Market Analysis: Use the detailed candlestick visuals and labels to better understand price movements and identify potential trading opportunities.
Timeframe Comparison: Compare custom timeframe candles against the current chart for multi-timeframe analysis.
Critical Time Identification: Highlight and analyze market behavior during specific hours using the background coloring feature.
How to Use:
Add the Indicator to Your Chart:
Open the TradingView editor and apply the script.
Adjust the settings to match your analysis needs.
Analyze Custom Candlesticks:
Observe the additional candlesticks and their corresponding data (timeframe, price range, etc.).
Leverage Time-Based Insights:
Use the countdown timer to monitor session closures or key levels around specific times.
Enhance your trading insights by utilizing the Z_MUTIL_CANDEL_v1 indicator for detailed candlestick visualization and analysis. 🚀
Z_TRendThe Z_Trend indicator is designed to detect significant volume spikes during trading sessions and identify the high/low levels of the candlestick with the highest volume in each session. This helps users recognize key price zones and monitor market activity effectively.
Main Features:
Session Classification:
Asian Session: From 0:00 to 14:00 (UTC+7).
European Session: From 14:00 to 19:00 (UTC+7).
US Session: From 19:00 to 23:00 (UTC+7).
Volume Analysis:
Calculates a Simple Moving Average (SMA) of the volume over the last 89 candles.
Marks candles with volumes exceeding defined thresholds:
High Threshold: Default is 1.618 (adjustable).
Low Threshold: Default is 0.618 (adjustable).
Highlighting Highest Volume Candle:
Detects the candle with the highest volume in each session.
Plots the high and low levels of this candle on the chart to signify critical price zones.
Volume-Based Candle Coloring:
Bullish candles (closing above open) with high volume are marked green.
Bearish candles (closing below open) with high volume are marked dark red.
Customizable Inputs:
High Threshold: Set to 1.618 by default; can be adjusted.
Low Threshold: Set to 0.618 by default; can be adjusted.
Chart Visuals:
Green line: Represents the highest price of the candle with the largest volume in the session.
Red line: Represents the lowest price of the candle with the largest volume in the session.
Practical Applications:
Identify Key Price Zones: Use the high/low levels of the high-volume candle to locate potential support/resistance levels.
Analyze Market Dynamics: Observe candle colors and volume to gauge session-specific trends.
Trading Strategy: Utilize these insights to make informed entry and exit decisions.
Notes:
The indicator can be adjusted to fit individual trading strategies.
It is recommended to combine this tool with other indicators for more reliable signals.
Try it out on your chart now to discover potential trading opportunities! 🚀
ZACH_Trendlines_OBThe Pine Script you've shared appears to be a comprehensive indicator that combines various strategies and tools for technical analysis in TradingView. It includes functionalities such as:
Trendlines (Support/Resistance):
The script calculates pivot points and draws trendlines connecting them.
Implements both bullish and bearish trendlines with customizable styles, colors, and extensions.
Magic Trend (ATR-based):
Plots a trendline derived from ATR (Average True Range) and CCI (Commodity Channel Index) to identify trend directions.
Order Blocks (OB):
Identifies bullish and bearish order blocks based on price momentum and sensitivity settings.
Order blocks are drawn as rectangles and extended in the chart with configurable border and background colors.
Uses ROC (Rate of Change) to identify key price levels where order blocks might form.
Alerts:
Includes alert conditions for breakouts and interactions with order blocks.
Customizable Inputs:
Allows users to modify key parameters such as ATR period, CCI period, pivot length, and sensitivity for order blocks.
Key Features Summary:
Trendlines:
Bullish/Bearish trendlines with detection for breakout points.
Option to enable/disable upper/lower lines and extend them.
Magic Trend:
Visualizes directional trends using ATR and CCI.
Order Blocks:
Detection and plotting of order blocks based on momentum.
Configurable OB mitigation type (Close or Wick).
Alerts:
Triggers alerts for specific events (e.g., order block breaches).
Suggestions for Further Refinements:
Performance Optimization:
The nested loops, especially in order block creation, might impact performance on larger datasets or lower timeframes. Consider optimizing these for better responsiveness.
Commenting and Documentation:
Add comments to describe the purpose and logic behind each section to make the script more maintainable.
Validation:
Check for edge cases (e.g., when there are insufficient data points for pivot calculation).
If you'd like assistance debugging specific parts of this script or optimizing any component, feel free to point it out!
Z TRAP_Range Indicator Name: Z TRAP_Range
Primary Function:
This indicator is designed to identify and highlight price ranges on a TradingView chart. It detects periods of consolidation (when price remains within a defined range) and marks these areas using dynamic boxes. It also visualizes range breakouts and provides additional extension levels for potential price targets.
Features Overview:
Dynamic Range Detection:
Identifies price ranges based on a moving average (ma) and ATR (atr) calculations.
Considers a customizable minimum range length (length) to detect valid consolidation zones.
Highlights the range's top and bottom boundaries with colored boxes.
Breakout Visualization:
Green Box (upCss): Indicates upward breakout from the detected range.
Red Box (dnCss): Indicates downward breakout from the detected range.
Blue Box (unbrokenCss): Indicates that price remains within the range (consolidation).
Extension Levels:
Projects two upward and two downward extension levels based on the height of the detected range.
Helps identify potential price targets after a breakout.
Customizable Style Settings:
Change colors for breakout upward, breakout downward, and unbroken ranges.
Adjust ATR multiplier (mult) and range detection sensitivity.
Annotations:
Displays labels showing key price levels, including range top, bottom, and extension levels.
Provides details like the difference between the close price and the range level for better context.
Historical Context:
Maintains a visual record of previous ranges and breakouts on the chart.
Can handle overlapping ranges and dynamically adjust boundaries.
How the Indicator Works:
Range Detection:
When the price remains close to the moving average for the defined length of bars, a new range is detected. The range top and bottom are calculated using the ATR-based width (ma ± atr).
Breakout Detection:
If the price moves above the range top, an upward breakout is marked.
If the price moves below the range bottom, a downward breakout is marked.
If the price stays within the range, the box color remains blue.
Dynamic Updates:
Existing ranges are adjusted dynamically for overlaps, and new ranges are created when necessary.
Visual Elements:
Boxes:
Highlight price ranges with colors indicating breakout or consolidation.
Box colors dynamically change based on price action.
Lines:
Draw horizontal levels for the range’s top and bottom.
Extension lines project potential targets based on range height.
Labels:
Display price levels and their differences from the close price.
Show the height of each extension level for additional insights.
Customization Options:
Minimum Range Length: Adjust the sensitivity of range detection.
Range Width: Change the ATR multiplier for wider or narrower ranges.
ATR Length: Modify the ATR period for fine-tuning volatility sensitivity.
Color Settings: Customize box colors for upward, downward, and unbroken ranges.
Use Cases:
Consolidation Zones:
Identify accumulation or distribution phases where price is consolidating.
Breakout Trading:
Detect potential breakout opportunities and visualize target levels using range extensions.
Support and Resistance:
Use historical ranges as support/resistance zones for future price action.
How to Use:
Copy and paste the script into TradingView (create a new Pine Script v5 indicator).
Add the indicator to your chart and observe the visualized ranges and breakouts.
Adjust the input parameters to align with your trading style or instrument volatility.
Use the extension levels to plan entry, exit, or stop-loss placement for breakout trades.
This indicator is highly versatile and suits traders looking for structured price action analysis. It provides a clear and visually appealing way to track consolidation zones and breakout potential.
D_H_L_OIndicator Name: D_H_L_O
Primary Function:
This indicator is designed to display buying pressure, selling pressure, and other key metrics derived from the daily candle on a TradingView chart. It helps you analyze market momentum, buying and selling forces, and price spreads.
Features Overview:
Basic Calculations from Daily Candle:
dailyHigh, dailyLow, dailyOpen, dailyClose: Represent the high, low, open, and close prices of the daily candle.
dailySpread: The difference between the high and low prices of the daily candle.
Buying and Selling Pressure:
Buying Pressure (high_open): The difference between the daily high and the open price.
Selling Pressure (low_open): The absolute difference between the daily low and the open price (displayed as a negative value).
deltaVolume: The net difference between buying and selling pressure.
Color and Visuals:
Blue (buyingColor): Indicates buying pressure for green (bullish) days.
Orange (sellingColor): Indicates selling pressure for red (bearish) days.
Displays bars with transparency to distinguish buying and selling forces.
Neutral Reference Line:
A horizontal line at 0 for quick visual comparison of buying and selling forces.
Labels for Key Information:
Displays values of buying pressure, selling pressure, and daily candle spread directly on the chart at corresponding bar positions.
Includes the weekday name (currentWeekday) for additional time context.
Historical Statistics:
Highest and lowest values of buying and selling pressure across the dataset.
Average buying and selling pressure.
Displays statistical summaries (like maximum pressure values) as labels on the last bar of the chart.
Benefits:
Detailed Market Pressure Visualization: Provides a clear view of the forces driving market movement each day.
Historical Context: Helps analyze historical trends in buying and selling pressures over time.
Decision-Making Support: Use pressure metrics to gauge market momentum and assess potential trends.
How to Use:
Copy and paste the script into TradingView (create a new indicator using Pine Script v5).
Add the indicator to your chart on any timeframe to observe daily candle metrics.
Customize colors, transparency, or other parameters to suit your trading style.
This indicator is ideal for traders who want to analyze price momentum and make decisions based on daily market behavior.
XAUUSD Weekly Gap Indicator (oberlunar)The XAUUSD Weekly Gap Indicator is a technical tool designed specifically for tracking weekly price gaps in the XAUUSD (gold) market. It identifies and visualizes the price difference between the Friday close and the Monday open, providing valuable insights into market dynamics over the weekend.
Gap Detection:
Measures the price difference between Friday's closing price and Monday's opening price.
Highlights whether the gap is bullish (Monday opens above Friday’s close) or bearish (Monday opens below Friday’s close).
Visualization:
Draws a line or rectangle to connect the Friday close and the Monday open, clearly marking the gap on the chart.
Displays an indicator label with the gap value, often in pips or points, to quantify the gap size.
Color Coding:
Green: Bullish gap (positive price movement).
Red: Bearish gap (negative price movement).
Market Sentiment:
Large gaps can indicate significant market sentiment shifts due to weekend events, such as economic reports or geopolitical news.
Support and Resistance:
Weekly gaps often act as temporary support or resistance levels, as the market may attempt to revisit or "fill" the gap.
Trading Strategies:
Gap Filling: XAUUSD often tends to "fill" these gaps, providing trading opportunities.
Continuation or Reversal: The reaction to the gap can signal whether the trend is likely to continue or reverse.
Timing KenhTradding The Timing KenhTradding indicator is a versatile and customizable tool designed to provide detailed insights into market sessions, daily price dynamics, and key levels. This indicator is especially helpful for traders aiming to track volatility, session-specific movements, and broader trends with additional tools like EMA and VWAP.
Key Features
Session Tracking:
Visualizes up to 8 customizable sessions using shaded boxes on the chart.
Sessions are defined by specific time intervals and are labeled with user-defined names and colors for easy identification.
EMA Integration:
Displays two critical exponential moving averages (EMA):
EMA200 (1-minute): Ideal for short-term trend analysis.
EMA200 (4-hour): Provides a broader perspective on market trends.
EMA smoothing options ensure clarity and reduce noise.
Daily High, Low, Open, and Close Levels:
Automatically draws horizontal lines to highlight the daily high, low, and open prices.
Displays these levels with annotations and customizable colors.
Price Movement Representation:
Visualizes daily price movements using boxes for the body, upper wick, and lower wick:
The body shows the range between the open and close.
The upper and lower wicks represent the highs and lows relative to the body.
Annotations display the exact pip/movement size of the wicks.
VWAP Overlay:
Plots the Volume Weighted Average Price (VWAP) to provide a weighted average of price levels based on volume, aiding in intraday decision-making.
Session-Based Background Highlighting:
Highlights specific hours (e.g., 2 AM) with a customizable background color for better visual segmentation.
Dynamic Data Updates:
Updates key levels and boxes dynamically as new price data becomes available.
Benefits for Traders
Session Analysis:
Easily identify and analyze the behavior of price action within specific trading sessions, such as high volatility around news events.
Trend and Momentum Tracking:
Use EMA and VWAP overlays to gauge the direction and strength of the market.
Daily Levels for Precision:
Incorporates high, low, and open levels to assist with setting entry, exit, and stop-loss points.
Visual Clarity:
Simplifies complex market data with clean and intuitive visualizations, enabling traders to make informed decisions quickly.
Customization Options
Sessions:
Define up to 8 custom sessions with personalized labels, time zones, and colors.
Visuals:
Adjust colors, transparency, and line styles for session boxes, EMAs, and daily levels.
Text Details:
Customize text size, alignment, and colors for annotations and labels.
EMA Display:
Toggle between short-term and long-term EMA views.
How to Use It
Track Daily Levels:
Watch for price reactions around daily high, low, and open levels for potential breakout or reversal opportunities.
Session-Based Strategies:
Focus on specific trading sessions for high-probability trades. Use session boxes to identify price ranges and key levels during those times.
Trend Confirmation:
Combine EMA200 and VWAP for a reliable trend-following strategy.
Volatility Assessment:
Observe the size of daily wicks and session ranges to understand market volatility and adjust your strategy accordingly.
This indicator is an essential tool for both intraday and swing traders, offering unparalleled insights into price action, session-specific volatility, and trend dynamics.
Global Index Spread RSI StrategyThis strategy leverages the relative strength index (RSI) to monitor the price spread between a global benchmark index (such as AMEX) and the currently opened asset in the chart window. By calculating the spread between these two, the strategy uses RSI to identify oversold and overbought conditions to trigger buy and sell signals.
Key Components:
Global Benchmark Index: The strategy compares the current asset with a predefined global index (e.g., AMEX) to measure relative performance. The choice of a global benchmark allows the trader to analyze the current asset's movement in the context of broader market trends.
Spread Calculation:
The spread is calculated as the percentage difference between the current asset's closing price and the global benchmark index's closing price:
Spread=Current Asset Close−Global Index CloseGlobal Index Close×100
Spread=Global Index CloseCurrent Asset Close−Global Index Close×100
This metric provides a measure of how the current asset is performing relative to the global index. A positive spread indicates the asset is outperforming the benchmark, while a negative spread signals underperformance.
RSI of the Spread: The RSI is then calculated on the spread values. The RSI is a momentum oscillator that ranges from 0 to 100 and is commonly used to identify overbought or oversold conditions in asset prices. An RSI below 30 is considered oversold, indicating a potential buying opportunity, while an RSI above 70 is overbought, suggesting that the asset may be due for a pullback.
Strategy Logic:
Entry Condition: The strategy enters a long position when the RSI of the spread falls below the oversold threshold (default 30). This suggests that the asset may have been oversold relative to the global benchmark and might be due for a reversal.
Exit Condition: The strategy exits the long position when the RSI of the spread rises above the overbought threshold (default 70), indicating that the asset may have become overbought and a price correction is likely.
Visual Reference:
The RSI of the spread is plotted on the chart for visual reference, making it easier for traders to monitor the relative strength of the asset in relation to the global benchmark.
Overbought and oversold levels are also drawn as horizontal reference lines (70 and 30), along with a neutral level at 50 to show market equilibrium.
Theoretical Basis:
The strategy is built on the mean reversion principle, which suggests that asset prices tend to revert to a long-term average over time. When prices move too far from this mean—either being overbought or oversold—they are likely to correct back toward equilibrium. By using RSI to identify these extremes, the strategy aims to profit from price reversals.
Mean Reversion: According to financial theory, asset prices oscillate around a long-term average, and any extreme deviation (overbought or oversold conditions) presents opportunities for price corrections (Poterba & Summers, 1988).
Momentum Indicators (RSI): The RSI is widely used in technical analysis to measure the momentum of an asset. Its application to the spread between the asset and a global benchmark allows for a more nuanced view of relative performance and potential turning points in the asset's price trajectory.
Practical Application:
This strategy works best in markets where relative strength is a key factor in decision-making, such as in equity indices, commodities, or forex markets. By assessing the performance of the asset relative to a global benchmark and utilizing RSI to identify extremes in price movements, the strategy helps traders to make more informed decisions based on potential mean reversion points.
While the "Global Index Spread RSI Strategy" offers a method for identifying potential price reversals based on relative strength and oversold/overbought conditions, it is important to recognize that no strategy is foolproof. The strategy assumes that the historical relationship between the asset and the global benchmark will hold in the future, but financial markets are subject to a wide array of unpredictable factors that can lead to sudden changes in price behavior.
Risk of False Signals:
The strategy relies heavily on the RSI to trigger buy and sell signals. However, like any momentum-based indicator, RSI can generate false signals, particularly in highly volatile or trending markets. In such conditions, the strategy may enter positions too early or exit too late, leading to potential losses.
Market Context:
The strategy may not account for macroeconomic events, news, or other market forces that could cause sudden shifts in asset prices. External factors, such as geopolitical developments, monetary policy changes, or financial crises, can cause a divergence between the asset and the global benchmark, leading to incorrect conclusions from the strategy.
Overfitting Risk:
As with any strategy that uses historical data to make decisions, there is a risk of overfitting the model to past performance. This could result in a strategy that works well on historical data but performs poorly in live trading conditions due to changes in market dynamics.
Execution Risks:
The strategy does not account for slippage, transaction costs, or liquidity issues, which can impact the execution of trades in real-market conditions. In fast-moving markets, prices may move significantly between order placement and execution, leading to worse-than-expected entry or exit prices.
No Guarantee of Profit:
Past performance is not necessarily indicative of future results. The strategy should be used with caution, and risk management techniques (such as stop losses and position sizing) should always be implemented to protect against significant losses.
Traders should thoroughly test and adapt the strategy in a simulated environment before applying it to live trades, and consider seeking professional advice to ensure that their trading activities align with their risk tolerance and financial goals.
References:
Poterba, J. M., & Summers, L. H. (1988). Mean Reversion in Stock Prices: Evidence and Implications. Journal of Financial Economics, 22(1), 27-59.
LiquidFusion SignalPro [CHE] LiquidFusion SignalPro – Indicator Overview
The LiquidFusion SignalPro is a powerful and sophisticated TradingView indicator designed to identify high-quality trade entries and exits. By combining seven unique sub-indicators, it provides comprehensive market analysis, ensuring traders can make informed decisions. This tool is suitable for all market conditions and supports customization to fit individual trading strategies.
Key Components (Sub-Indicators):
1. RPM (Relative Price Momentum):
- Measures cumulative price momentum over a specified period.
- Provides insights into price strength and directional bias.
- Input Customization:
- Source: Data for momentum calculation.
- Period: Length for momentum measurement.
- Resolution: Timeframe for data fetching.
2. BBO (Bull-Bear Oscillator):
- Calculates the strength of bullish or bearish momentum based on price movement and RSI conditions.
- Uses a super-smoothing technique for reliable signals.
- Customizable parameters include the oscillator's period and repainting options.
3. MACD (Moving Average Convergence Divergence):
- A classic momentum indicator for trend direction and strength.
- Provides buy/sell signals based on the crossover of the MACD line and signal line.
- Input Customization:
- Fast/Slow EMA Periods.
- Signal Line Period.
- Resolution and Source Data.
4. RSI (Relative Strength Index):
- Tracks overbought and oversold conditions.
- A key tool to validate trend continuation or reversals.
- Customizable period, resolution, and source.
5. CCI (Commodity Channel Index):
- Measures the deviation of price from its average.
- Useful for identifying cyclical trends.
- Input Customization includes period, resolution, and source.
6. Stochastic Oscillator:
- Indicates momentum by comparing closing prices to a range of highs and lows.
- Includes smoothing factors for %K and %D lines.
- Customizable parameters:
- %K Length and Smoothing.
- Resolution and Repainting Options.
7. Supertrend:
- A trailing stop-and-reverse system for trend-following strategies.
- Excellent for identifying strong trends and potential reversals.
- Inputs include the multiplier factor and period for ATR-like calculations.
Inputs Overview:
The indicator supports extensive customization for each sub-indicator, grouped under intuitive categories:
- Color Settings: Define bullish and bearish plot colors.
- RPM, BBO, MACD, RSI, CCI, Stochastic, and Supertrend Settings: Tailor each sub-indicator's behavior with adjustable parameters.
- UI Options: Toggle features such as bar coloring, indicator names, and plotted candles.
Trade Signals:
- Long Signal:
- All indicators align in a bullish state:
- RPM > 0, MACD > 0, RSI > 50, Stochastic > 50, CCI > 0, BBO > 0, Supertrend below price.
- Plot: Green triangle below the candle.
- Alert: Notifies the trader of a potential long entry.
- Short Signal:
- All indicators align in a bearish state:
- RPM < 0, MACD < 0, RSI < 50, Stochastic < 50, CCI < 0, BBO < 0, Supertrend above price.
- Plot: Red triangle above the candle.
- Alert: Notifies the trader of a potential short entry.
Features:
- Enhanced Visuals: Plots sub-indicator statuses using labels and color-coded shapes for clarity.
- Alerts: Integrated alert conditions for both long and short trades.
- Bar Coloring: Provides overall trend bias with green (bullish), red (bearish), or gray (neutral) bars.
- Customizable Table: Displays the indicator's status in the chart’s top-right corner.
Trading Benefits:
The LiquidFusion SignalPro excels in generating high-quality entries and exits by:
- Reducing noise through multiple indicator alignment.
- Supporting multiple timeframes and resolutions for flexibility.
- Offering customizable inputs for personalized trading strategies.
Use this tool to enhance your market analysis and improve your trading performance.
Disclaimer:
The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context.
Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved.
By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk.
This indicator is inspired by the Super 6x Indicators: RSI, MACD, Stochastic, Loxxer, CCI, and Velocity . A special thanks to Loxx for their relentless effort, creativity, and contributions to the TradingView community, which served as a foundation for this work.
Happy trading and best regards
Chervolino
BTC CME Futures Divergence TrackerThis script tracks divergences between price action and open interest for the BTC CME Futures contract (symbol "BTC1!") using the following components:
Key Features:
1. Price Analysis: Identifies lower highs in the price over a specified lookback period. Marks these points with red upward-facing triangles above the bars.
2. Open Interest Analysis: Retrieves open interest (OI) data for the BTC CME Futures contract via request.security. Detects lower highs in open interest over the same lookback period. Highlights these points with blue downward-facing triangles below the bars.
3. Divergence Detection: A divergence is identified when both price and open interest form lower highs simultaneously. Highlights such occurrences with a purple background, indicating potential bearish sentiment or weakening momentum.
4. Alerts: If divergences are detected, an alert is triggered (if enabled), notifying the trader to take action.
5. Visualization: Open interest is plotted as a blue line in a separate pane for added context. Red and blue markers highlight significant points in price and open interest trends.
Use Cases:
- Spot Weakening Trends: Divergences between price and open interest may indicate a loss of momentum or bearish sentiment, allowing traders to preemptively adjust their strategies.
- Monitor Institutional Activity: Open interest changes reflect shifts in market participation, especially in derivative markets like CME Futures.
- Set Alerts for Key Signals: With automated alerts, traders can stay informed of potential divergence signals without constant monitoring.
Customization Options:
- Lookback Period: Adjust the number of bars used to detect lower highs.
- Timeframe: Choose the timeframe for fetching open interest data (e.g., daily, hourly).
- Alert Activation: Enable or disable alerts for divergences.
This tool combines price action with open interest dynamics to provide a robust method for identifying market trends and potential reversals in BTC CME Futures.
Gains and Drawdowns with Standard DeviationsThis “Gains and Drawdowns with Standard Deviations” indicator helps in analyzing and visualizing the percentage gains and drawdown phases of a market or asset relative to its historical range. By calculating gains from the lowest low and drawdowns from the highest high over a specified lookback period, this indicator provides deeper insights into price movements and risk.
Key Features and Applications:
1. Gain and Drawdown Calculation:
• Gains: The indicator calculates the percentage gain from the lowest price point within a specific lookback period (e.g., 250 days).
• Drawdowns: Drawdowns are calculated as the percentage change from the highest point in the same period. This helps in identifying the maximum loss phases.
2. Standard Deviation:
• The indicator computes the standard deviation of both gains and drawdowns over a specified period (e.g., 250 days), allowing you to quantify volatility.
• Three bands (1st, 2nd, and 3rd standard deviations) are plotted for both gains and drawdowns, representing the frequency and magnitude of price movements within the normal volatility range.
3. Extreme Movements Highlighting:
• The indicator highlights extreme gains and drawdowns when they exceed user-defined thresholds. This helps in identifying significant market events or turning points.
4. Customizable Thresholds:
• Users can adjust the thresholds for extreme gains and drawdowns, as well as the lookback period for calculating gains, drawdowns, and standard deviations, making the indicator highly adaptable to specific needs.
Application in Portfolio Management:
The use of standard deviation in portfolio management is essential for assessing the risk and volatility of a portfolio. According to Modern Portfolio Theory (MPT) by Harry Markowitz, diversification of assets in a portfolio helps to minimize overall risk (especially the standard deviation), while maximizing returns. The standard deviation of a portfolio measures the volatility of its returns, with higher standard deviation indicating higher risk.
Scientific Source: Markowitz, H. M. (1952). Portfolio Selection. The Journal of Finance, 7(1), 77-91.
Markowitz’s theory suggests that an optimized portfolio, by minimizing the standard deviation of returns and combining a diversified asset allocation, can achieve better risk-adjusted returns.
Conclusion:
This indicator is particularly useful for traders and portfolio managers who want to understand and visualize market risk and extreme events. By using gains, drawdowns, and volatility metrics, it allows for systematic monitoring and evaluation of price movements, leading to more informed decisions in trading or portfolio management. A comprehensive understanding of price behavior and volatility helps in optimizing risk management and making strategic market entries.
Key Features:
• Visualization of Gains and Drawdowns with color-coded highlights for extreme movements.
• Standard Deviation Calculations for detailed volatility analysis.
• Customizable Thresholds for identifying extreme market events.
This indicator is a valuable tool for analyzing market data from a scientific standpoint, improving risk management, and making data-driven decisions based on historical performance.
Buy When There's Blood in the Streets StrategyStatistical Analysis of Drawdowns in Stock Markets
Drawdowns, defined as the decline from a peak to a trough in asset prices, are an essential measure of risk and market dynamics. Their statistical properties provide insights into market behavior during extreme stress periods.
Distribution of Drawdowns: Research suggests that drawdowns follow a power-law distribution, implying that large drawdowns, while rare, are more frequent than expected under normal distributions (Sornette et al., 2003).
Impacts of Extreme Drawdowns: During significant drawdowns (e.g., financial crises), the average recovery time is significantly longer, highlighting market inefficiencies and behavioral biases. For example, the 2008 financial crisis led to a 57% drawdown in the S&P 500, requiring years to recover (Cont, 2001).
Using Standard Deviations: Drawdowns exceeding two or three standard deviations from their historical mean are often indicative of market overreaction or capitulation, creating contrarian investment opportunities (Taleb, 2007).
Behavioral Finance Perspective: Investors often exhibit panic-selling during drawdowns, leading to oversold conditions that can be exploited using statistical thresholds like standard deviations (Kahneman, 2011).
Practical Implications: Studies on mean reversion show that extreme drawdowns are frequently followed by periods of recovery, especially in equity markets. This underpins strategies that "buy the dip" under specific, statistically derived conditions (Jegadeesh & Titman, 1993).
References:
Sornette, D., & Johansen, A. (2003). Stock market crashes and endogenous dynamics.
Cont, R. (2001). Empirical properties of asset returns: stylized facts and statistical issues. Quantitative Finance.
Taleb, N. N. (2007). The Black Swan: The Impact of the Highly Improbable.
Kahneman, D. (2011). Thinking, Fast and Slow.
Jegadeesh, N., & Titman, S. (1993). Returns to Buying Winners and Selling Losers: Implications for Stock Market Efficiency.
Power Of 3 ICT 01 [TradingFinder] AMD ICT & SMC Accumulations🔵 Introduction
The ICT Power of 3 (PO3) strategy, developed by Michael J. Huddleston, known as the Inner Circle Trader, is a structured approach to analyzing daily market activity. This strategy divides the trading day into three distinct phases: Accumulation, Manipulation, and Distribution.
Each phase represents a unique market behavior influenced by institutional traders, offering a clear framework for retail traders to align their strategies with market movements.
Accumulation (19:00 - 01:00 EST) takes place during low-volatility hours, as institutional traders accumulate orders. Manipulation (01:00 - 07:00 EST) involves false breakouts and liquidity traps designed to mislead retail traders. Finally, Distribution (07:00 - 13:00 EST) represents the active phase where significant market movements occur as institutions distribute their positions in line with the broader trend.
This indicator is built upon the Power of 3 principles to provide traders with a practical and visual tool for identifying these key phases. By using clear color coding and precise time zones, the indicator highlights critical price levels, such as highs and lows, helping traders to better understand market dynamics and make more informed trading decisions.
Incorporating the ICT AMD setup into daily analysis enables traders to anticipate market behavior, spot high-probability trade setups, and gain deeper insights into institutional trading strategies. With its focus on time-based price action, this indicator simplifies complex market structures, offering an effective tool for traders of all levels.
🔵 How to Use
The ICT Power of 3 (PO3) indicator is designed to help traders analyze daily market movements by visually identifying the three key phases: Accumulation, Manipulation, and Distribution.
Here's how traders can effectively use the indicator :
🟣 Accumulation Phase (19:00 - 01:00 EST)
Purpose : Identify the range-bound activity where institutional players accumulate orders.
Trading Insight : Avoid placing trades during this phase, as price movements are typically limited. Instead, use this time to prepare for the potential direction of the market in the next phases.
🟣 Manipulation Phase (01:00 - 07:00 EST)
Purpose : Spot false breakouts and liquidity traps that mislead retail traders.
Trading Insight : Observe the market for price spikes beyond key support or resistance levels. These moves often reverse quickly, offering high-probability entry points in the opposite direction of the initial breakout.
🟣 Distribution Phase (07:00 - 13:00 EST)
Purpose : Detect the main price movement of the day, driven by institutional distribution.
Trading Insight : Enter trades in the direction of the trend established during this phase. Look for confirmations such as breakouts or strong directional moves that align with broader market sentiment
🔵 Settings
Show or Hide Phases :mDecide whether to display Accumulation, Manipulation, or Distribution.
Adjust the session times for each phase :
Accumulation: 1900-0100 EST
Manipulation: 0100-0700 EST
Distribution: 0700-1300 EST
Modify Visualization : Customize how the indicator looks by changing settings like colors and transparency.
🔵 Conclusion
The ICT Power of 3 (PO3) indicator is a powerful tool for traders seeking to understand and leverage market structure based on time and price dynamics. By visually highlighting the three key phases—Accumulation, Manipulation, and Distribution—this indicator simplifies the complex movements of institutional trading strategies.
With its customizable settings and clear representation of market behavior, the indicator is suitable for traders at all levels, helping them anticipate market trends and make more informed decisions.
Whether you're identifying entry points in the Accumulation phase, navigating false moves during Manipulation, or capitalizing on trends in the Distribution phase, this tool provides valuable insights to enhance your trading performance.
By integrating this indicator into your analysis, you can better align your strategies with institutional movements and improve your overall trading outcomes.
USDEGP Rate MultipleIndicator shows the ratio between USDEGP rate calculated using CIB GDR and the official rate. In no stress, value should be stable.
