ICT Professional Accumulation DistributionICT Professional Accumulation Distribution (ICT AD) provides a x-ray view into market accumulation and distribution. You can literally see the institutions at work.
The indicator consists of two cumulative lines derived from:
Cumulative change from open to close
Cumulative change from previous close to new open
By overlaying these two cumulative lines, you can detect real meaningful divergence that is narrative based not mathematically derived. You're seeing the real works of algorithms in play working in this area.
These divergences are only useful at extremes (topping or bottoming formations), not while trending. It will probably confirm your suspicion about making a important high or low.
This works on all timeframes but is most impactful on the daily.
How to use:
Method 1:
Enable the option for "Show Open vs Close."
Calculate the shift by subtracting the "Open vs Close" line value from the ICT Accumulation/Distribution (AD) line value.
Look for divergences between the two cumulative lines.
Method 2:
Switch the chart's display mode to "Line View" (representing the Open vs Close).
look for divergences between the line chart and the ICT AD line.
Forecasting
Altcoins vs BTC Market Cap HeatmapAltcoins vs BTC Market Cap Heatmap
"Ground control to major Tom" 🌙 👨🚀 🚀
This indicator provides a visual heatmap for tracking the relationship between the market cap of altcoins (TOTAL3) and Bitcoin (BTC). The primary goal is to identify potential market cycle tops and bottoms by analyzing how the TOTAL3 market cap (all cryptocurrencies excluding Bitcoin and Ethereum) compares to Bitcoin’s market cap.
Key Features:
• Market Cap Ratio: Plots the ratio of TOTAL3 to BTC market caps to give a clear visual representation of altcoin strength versus Bitcoin.
• Heatmap: Colors the background red when altcoins are overheating (TOTAL3 market cap equals or exceeds BTC) and blue when altcoins are cooling (TOTAL3 market cap is half or less than BTC).
• Threshold Levels: Includes horizontal lines at 1 (Overheated), 0.75 (Median), and 0.5 (Cooling) for easy reference.
• Alerts: Set alert conditions for when the ratio crosses key levels (1.0, 0.75, and 0.5), enabling timely notifications for potential market shifts.
How It Works:
• Overheated (Ratio ≥ 1): Indicates that the altcoin market cap is on par or larger than Bitcoin's, which could signal a top in the cycle.
• Cooling (Ratio < 0.5): Suggests that the altcoin market cap is half or less than Bitcoin's, potentially signaling a market bottom or cooling phase.
• Median (Ratio ≈ 0.75): A midpoint that provides insight into the market's neutral zone.
Use this tool to monitor market extremes and adjust your strategy accordingly when the altcoin market enters overheated or cooling phases.
NY Open Time Indicator (London Time)The NY Open Time Indicator is designed for traders who want to mark the opening time of the New York Stock Exchange (NYSE) on their charts, specifically for assets traded during the London session. This indicator plots a vertical line at 2:30 PM London time (UTC+1), representing the moment the NYSE opens for trading.
Features:
Time Zone Adjustment: Automatically adjusts to reflect the NY opening time based on London time, accounting for daylight saving changes.
Visual Cue: The vertical line serves as a clear visual marker, helping traders identify potential market movements and volatility around the NY open.
Customizable Appearance: The color and width of the vertical line can be adjusted in the script to fit individual preferences and chart styles.
Simplicity: Easy to implement and understand, making it suitable for both novice and experienced traders.
Use Cases:
Day Trading: Use this indicator to pinpoint significant market entry and exit points around the NY open, which is often a time of increased activity and volatility.
Market Analysis: Combine this indicator with other technical analysis tools to assess potential price movements and trends as the market opens.
Installation: Add this indicator to your TradingView chart and customize it to suit your trading strategy. (Public Code)
Volume TrendThis code defines a custom indicator called "Volume Trend" that aims to identify trends in price action based on volume changes. The indicator calculates a smoothed average of volume data and correlates it with price movements to determine potential support and resistance levels, which are then plotted on the chart. This helps traders make informed decisions about buying and selling based on volume trends.
Key Components and Functionalities:
Inputs:
len (Length): Defines the period for the Exponential Moving Average (EMA) calculation of the volume. This helps to smooth the volume data.
lb (Look Back): Determines how far back the indicator looks to calculate the highest and lowest price points in relation to volume changes.
smt (Smooth): Determines the smoothing level applied to the average of the highest and lowest points to create a smoother trend line.
Volume Analysis:
The script calculates an EMA of the volume using the specified length (len). This smoothed volume data is used to detect volume-based price movements.
Two variables, vl1 and vl2, are used to store the highest and lowest price points based on whether the current volume is higher or lower than the previous volume.
Price-Level Calculation:
The script computes an average of the highest and lowest price levels (vl1 and vl2), and then applies another EMA smoothing to create the final trend line (vl).
Color-Coding of the Trend Line:
Green (lime): When the trend line (vl) is below the current price, indicating a potential uptrend.
Red (red): When the trend line is above the current price, indicating a potential downtrend.
Yellow (yellow): When the trend line is at the same level as the current price, indicating a potential consolidation or neutral trend.
Plotting:
The smoothed trend line (vl) is plotted on the chart with color changes based on its relation to the current price (green for uptrend, red for downtrend, yellow for neutral).
Usage:
The Volume Trend indicator is designed to help traders analyze the relationship between volume and price trends. By plotting dynamic support and resistance levels based on volume changes, it allows traders to:
Identify potential uptrends or downtrends in price based on volume movements.
Spot possible consolidation areas where the price is neutral.
Make better decisions on when to enter or exit trades based on volume-driven price levels.
This indicator can be useful for both short-term and long-term traders who want to incorporate volume analysis into their trading strategies.
Advice:
If you choose the time setting 2 or 3 times higher than the graphics resolution, clearer visuals may appear.
Important Note:
This script is provided for educational purposes and does not constitute financial advice. Traders and investors should conduct their research and analysis before making any trading decisions.
SMC StructuresTitle: SMC Structures Indicator
Description:
The SMC Structures indicator is a powerful tool designed to identify and visualize key structural elements in price action, based on the principles of Smart Money Concepts (SMC). This indicator helps traders identify potential areas of support, resistance, and price reversals by highlighting significant market structures.
Key Features:
Structure Identification: The indicator automatically detects and marks important high and low structures in the market.
Break of Structure (BOS) Detection: It identifies and labels instances where previous structures are broken, indicating potential trend changes or continuations.
Change of Character (CHoCH) Detection: The indicator recognizes and marks Changes of Character, which are significant shifts in market behavior.
Customizable Visuals: Users can personalize the appearance of BOS and CHoCH markings, including colors, line styles, and widths.
Current Structure Display: The indicator can optionally show the current active structure, helping traders understand the immediate market context.
Historical Structure Tracking: Users can specify the number of historical structure breaks to display, allowing for a cleaner chart while maintaining relevant information.
Flexible Break Confirmation: The indicator offers the option to confirm structure breaks using either the candle body or wick, accommodating different trading styles.
Technical Details:
The indicator uses advanced algorithms to identify significant price structures based on local highs and lows.
It employs a lookback period of 10 bars for structure detection, ensuring relevance to current market conditions.
The code includes safeguards to handle different market phases and avoid false signals during ranging periods.
Customization Options:
Colors for Bullish and Bearish BOS and CHoCH markings
Line styles and widths for all structure markings
Number of historical breaks to display
Option to show or hide the current active structure
Choice between candle body or wick for structure break confirmation
Use Cases:
Trend Analysis: Identify the start of new trends or potential trend reversals.
Support and Resistance: Pinpoint key levels where price may react.
Trade Entry and Exit: Use structure breaks as potential entry or exit signals.
Market Context: Understand the broader market structure to make informed trading decisions.
This indicator is particularly useful for traders who follow Smart Money Concepts and those looking to enhance their understanding of market structure. It provides a visual representation of complex market dynamics, helping traders make more informed decisions based on structural analysis.
Note: This indicator is best used in conjunction with other analytical tools and a solid understanding of market dynamics. Always practice proper risk management when using any trading indicator.
Would you like me to explain or break down any part of the code?
GDP Recession Indicator by USCG_Vet🌟 GDP Recession Indicator by USCG_Vet 🌟
📈 Overview
The GDP Recession Indicator is a comprehensive economic tool designed to help traders and investors anticipate potential recessions by analyzing key U.S. economic metrics. By consolidating multiple normalized economic indicators into a single, actionable signal, this indicator provides a clear and intuitive way to assess the health of the U.S. economy on a monthly basis.
🔑 Key Features
🔴 Red Line (GDP Discrepancy):
Represents the normalized value of GDP - (PCE + GCE + GPDI), capturing the core GDP components.
⚪ White Line (Signal Line):
A simple moving average of the consolidated indicator, serving as a dynamic threshold for recession signals.
🔵 Consolidated Indicator (Blue Line):
An optional line that aggregates multiple economic indicators for a holistic view.
✨ Customizable Visibility:
By default, only the Red and White lines are displayed, ensuring a clean and focused chart. Additional indicators can be enabled as needed.
🔍 How It Works
📊 Data Normalization:
Processes key economic metrics:
GDP
Personal Consumption Expenditures (PCE)
Government Consumption Expenditures (GCE)
Gross Private Domestic Investment (GPDI)
US Private Debt Growth (USPDG)
US Government Debt Growth (USGDG)
US Balance of Trade (USBOT)
Personal Savings Rate (BEA)
Each metric is normalized using a z-score over a configurable period (default is 6 months), ensuring comparability and mitigating the impact of differing scales.
🔗 Consolidation:
Selected indicators are averaged to form a consolidated economic signal, providing a comprehensive view of economic trends.
📉 Signal Generation:
Recession Signal:
When the Red Line (GDP Discrepancy) crosses below the White Line (Signal Line), it indicates a potential downturn in the economy.
🛠️ How to Use the GDP Recession Indicator
➕ Adding the Indicator:
🔴 Red Line: Displays the normalized GDP Discrepancy (GDP - (PCE + GCE + GPDI)).
⚪ White Line: Shows the signal line derived from the consolidated indicator.
🔵 Blue Line and Other Indicators: Hidden by default for clarity. Enable them in the indicator settings if a more detailed analysis is desired.
🔍 Interpreting the Signals:
Recession Signal:
🔴 Red Line crosses below ⚪ White Line: Signals that the economy may be heading into a recession. Indicates that the GDP Discrepancy is declining relative to the broader economic signals captured by the indicator.
📑 Confirmation:
Look for confirmation from other technical indicators or economic data to validate the recession signal.
⚙️ Customization:
🕒 Normalization Period: Adjust the normalization period to suit different timeframes or sensitivity levels.
🔄 Indicator Visibility: Toggle the visibility of additional economic metrics (e.g., US Private Debt Growth, US Government Debt Growth) to tailor the indicator to your analytical needs.
🔵 Consolidated Indicator: Enable the blue line if you wish to view the aggregated economic signal alongside the primary signals.
🎯 Benefits
⏰ Early Warning System:
Provides timely signals that can help anticipate economic downturns, allowing for proactive portfolio adjustments.
🏁 Conclusion
The GDP Recession Indicator is a powerful tool for anyone looking to navigate the complexities of the economic landscape. By providing clear signals based on robust economic data, it empowers traders and investors to make informed decisions and better manage risk in anticipation of potential recessions.
First Heikin-Ashi Candle Tracker [CHE] First Heikin-Ashi Candle Tracker
"A Heikin-Ashi Candle Rarely Comes Alone"
1. Introduction
Fundamental Observation
- "A Heikin-Ashi Candle Rarely Comes Alone"
- This principle highlights the tendency of Heikin-Ashi candles to appear in sequences, indicating sustained trends rather than isolated movements.
- Recognizing these patterns can significantly enhance trading strategies by identifying stronger and more reliable entry points.
2. Understanding Heikin-Ashi Candles
What Are Heikin-Ashi Candles?
- Heikin-Ashi is a type of candlestick chart used to identify market trends more clearly.
- Calculation Method:
- Ha_Close: (Open + High + Low + Close) / 4
- Ha_Open: (Previous Ha_Open + Previous Ha_Close) / 2
- Ha_High: Maximum of High, Ha_Open, Ha_Close
- Ha_Low: Minimum of Low, Ha_Open, Ha_Close
- Visual Differences:
- Smoother appearance compared to traditional candlesticks.
- Helps in filtering out market noise and highlighting the prevailing trend.
Benefits of Heikin-Ashi Candles
- Trend Clarity: Easier identification of uptrends and downtrends.
- Reduced Noise: Minimizes the impact of insignificant price movements.
- Visual Appeal: Cleaner charts enhance decision-making processes.
3. Introducing the First Heikin-Ashi Candle Tracker [CHE ]
Purpose of the Indicator
- Track First Heikin-Ashi Candles: Identifies the initial appearance of Heikin-Ashi candles across multiple timeframes.
- Enhance Trading Decisions: Provides visual cues for potential long and short entries based on trend confirmations.
Key Features
- Multi-Timeframe Support: Monitor Heikin-Ashi candles across different timeframes (e.g., 240, 60, 30, 15 minutes).
- Customizable Visuals: Adjustable colors and line widths for better chart integration.
- User-Friendly Interface: Easy-to-configure settings tailored to individual trading preferences.
- Max Line Management: Controls the number of displayed lines to maintain chart clarity.
4. How to Use the First Heikin-Ashi Candle Tracker
Step-by-Step Guide
1. Enable Desired Groups:
- Activate up to four groups, each representing a different timeframe.
- Customize each group's settings according to your trading strategy.
2. Configure Timeframes:
- Select timeframes that align with your trading style (e.g., short-term vs. long-term).
3. Set Candle Types to Track:
- Choose to monitor Both, Green (Bullish), or Red (Bearish) Heikin-Ashi candles.
- Focus on specific candle types to streamline entry signals.
4. Customize Visual Indicators:
- Adjust Green Line Color and Red Line Color for clear distinction.
- Modify Line Width to ensure visibility without cluttering the chart.
5. Manage Line Limits:
- Set the Max Number of Lines to prevent overcrowding.
- The indicator will automatically remove the oldest lines when the limit is exceeded.
6. Interpret Signals:
- Green Lines: Indicate potential Long entry points.
- Red Lines: Indicate potential Short entry points.
- Observe the sequence and frequency of candles to assess trend strength.
Practical Example
- Uptrend Identification:
- Consecutive green Heikin-Ashi candles with corresponding green lines signal a strong upward trend.
- Consider entering a Long position when the first green candle appears.
- Downtrend Identification:
- Consecutive red Heikin-Ashi candles with corresponding red lines signal a strong downward trend.
- Consider entering a Short position when the first red candle appears.
5. Benefits and Utility
Enhanced Trend Detection
- Early Signals: Identify the beginning of new trends promptly.
- Confirmation: Multiple timeframes provide robust confirmation of trend direction.
Improved Entry Points
- Precision: Pinpoint optimal moments to enter trades, reducing the risk of false signals.
- Flexibility: Suitable for both Long and Short strategies across various markets.
User-Friendly Operation
- Intuitive Settings: Easily configurable to match individual trading preferences.
- Visual Clarity: Clear lines and color-coding facilitate quick decision-making.
Time Efficiency
- Automated Tracking: Saves time by automatically identifying and marking relevant candles.
- Multi-Timeframe Analysis: Consolidates information from different timeframes into a single view.
6. Why Use the First Heikin-Ashi Candle Tracker ?
Strategic Advantages
- Market Insight: Gain deeper understanding of market dynamics through Heikin-Ashi analysis.
- Risk Management: Improved entry points contribute to better risk-reward ratios.
- Versatility: Applicable to various trading instruments, including stocks, forex, and cryptocurrencies.
Why Heikin-Ashi for Entries?
- Trend Reliability: Heikin-Ashi candles smooth out price data, providing more reliable trend indicators.
- Reduced Whipsaws: Fewer false signals compared to traditional candlestick charts.
- Clarity in Decision-Making: Simplifies the process of identifying and acting on market trends.
Conclusion
- The First Heikin-Ashi Candle Tracker is an essential tool for traders seeking to enhance their trend analysis and improve entry strategies.
- By leveraging the power of Heikin-Ashi candles, this indicator offers a clear, user-friendly approach to identifying profitable trading opportunities.
7. Getting Started
Installation
1. Add the Indicator:
- Open TradingView and navigate to the Pine Script editor.
- Paste the translated Pine Script code for the First Heikin-Ashi Candle Tracker .
- Save and add the indicator to your chart.
2. Configure Settings:
- Enable desired groups and set appropriate timeframes.
- Customize colors and line widths as per your preference.
- Adjust the maximum number of lines to maintain chart clarity.
3. Start Trading:
- Monitor the chart for green and red lines indicating potential Long and Short entries.
- Combine with other analysis tools for enhanced trading decisions.
Support and Resources
- Documentation: Refer to the included comments within the Pine Script for detailed explanations.
- Community Forums: Join TradingView communities for tips and shared experiences.
- Customer Support: Reach out for assistance with installation or configuration issues.
8. 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.
Happy Trading!
Best regards
Chervolino (Volker)
Advanced Economic Indicator by USCG_VetAdvanced Economic Indicator by USCG_Vet
tldr:
This comprehensive TradingView indicator combines multiple economic and financial metrics into a single, customizable composite index. By integrating key indicators such as the yield spread, commodity ratios, stock indices, and the Federal Reserve's QE/QT activities, it provides a holistic view of the economic landscape. Users can adjust the components and their weights to tailor the indicator to their analysis, aiding in forecasting economic conditions and market trends.
Detailed Description
Overview
The Advanced Economic Indicator is designed to provide traders and investors with a powerful tool to assess the overall economic environment. By aggregating a diverse set of economic indicators and financial market data into a single composite index, it helps identify potential turning points in the economy and financial markets.
Key Features:
Comprehensive Coverage: Includes 14 critical economic and financial indicators.
Customizable Components: Users can select which indicators to include.
Adjustable Weights: Assign weights to each component based on perceived significance.
Visual Signals: Clear plotting with threshold lines and background highlights.
Alerts: Set up alerts for when the composite index crosses user-defined thresholds.
Included Indicators
Yield Spread (10-Year Treasury Yield minus 3-Month Treasury Yield)
Copper/Gold Ratio
High Yield Spread (HYG/IEF Ratio)
Stock Market Performance (S&P 500 Index - SPX)
Bitcoin Performance (BLX)
Crude Oil Prices (CL1!)
Volatility Index (VIX)
U.S. Dollar Index (DXY)
Inflation Expectations (TIP ETF)
Consumer Confidence (XLY ETF)
Housing Market Index (XHB)
Manufacturing PMI (XLI ETF)
Unemployment Rate (Inverse SPY as Proxy)
Federal Reserve QE/QT Activities (Fed Balance Sheet - WALCL)
How to Use the Indicator
Configuring the Indicator:
Open Settings: Click on the gear icon (⚙️) next to the indicator's name.
Inputs Tab: You'll find a list of all components with checkboxes and weight inputs.
Including/Excluding Components
Checkboxes: Check or uncheck the box next to each component to include or exclude it from the composite index.
Default State: By default, all components are included.
Adjusting Component Weights:
Weight Inputs: Next to each component's checkbox is a weight input field.
Default Weights: Pre-assigned based on economic significance but fully adjustable.
Custom Weights: Enter your desired weight for each component to reflect your analysis.
Threshold Settings:
Bearish Threshold: Default is -1.0. Adjust to set the level below which the indicator signals potential economic downturns.
Bullish Threshold: Default is 1.0. Adjust to set the level above which the indicator signals potential economic upswings.
Setting the Timeframe:
Weekly Timeframe Recommended: Due to the inclusion of the Fed's balance sheet data (updated weekly), it's best to use this indicator on a weekly chart.
Changing Timeframe: Select 1W (weekly) from the timeframe options at the top of the chart.
Interpreting the Indicator:
Composite Index Line
Plot: The blue line represents the composite economic indicator.
Movement: Observe how the line moves relative to the threshold lines.
Threshold Lines
Zero Line (Gray Dotted): Indicates the neutral point.
Bearish Threshold (Red Dashed): Crossing below suggests potential economic weakness.
Bullish Threshold (Green Dashed): Crossing above suggests potential economic strength.
Background Highlights
Red Background: When the composite index is below the bearish threshold.
Green Background: When the composite index is above the bullish threshold.
No Color: When the composite index is between the thresholds.
Understanding the Components
1. Yield Spread
Description: The difference between the 10-year and 3-month U.S. Treasury yields.
Economic Significance: An inverted yield curve (negative spread) has historically preceded recessions.
2. Copper/Gold Ratio
Description: The price ratio of copper to gold.
Economic Significance: Copper is tied to industrial demand; gold is a safe-haven asset. The ratio indicates risk sentiment.
3. High Yield Spread (HYG/IEF Ratio)
Description: Ratio of high-yield corporate bonds (HYG) to intermediate-term Treasury bonds (IEF).
Economic Significance: Reflects investor appetite for risk; widening spreads can signal credit stress.
4. Stock Market Performance (SPX)
Description: S&P 500 Index levels.
Economic Significance: Broad measure of U.S. equity market performance.
5. Bitcoin Performance (BLX)
Description: Bitcoin Liquid Index price.
Economic Significance: Represents risk appetite in speculative assets.
6. Crude Oil Prices (CL1!)
Description: Front-month crude oil futures price.
Economic Significance: Influences inflation and consumer spending.
7. Volatility Index (VIX)
Description: Market's expectation of volatility (fear gauge).
Economic Significance: High VIX indicates market uncertainty; inverted in the indicator to align directionally.
8. U.S. Dollar Index (DXY)
Description: Value of the U.S. dollar relative to a basket of foreign currencies.
Economic Significance: Affects international trade and commodity prices; inverted in the indicator.
9. Inflation Expectations (TIP ETF)
Description: iShares TIPS Bond ETF prices.
Economic Significance: Reflects market expectations of inflation.
10. Consumer Confidence (XLY ETF)
Description: Consumer Discretionary Select Sector SPDR Fund prices.
Economic Significance: Proxy for consumer confidence and spending.
11. Housing Market Index (XHB)
Description: SPDR S&P Homebuilders ETF prices.
Economic Significance: Indicator of the housing market's health.
12. Manufacturing PMI (XLI ETF)
Description: Industrial Select Sector SPDR Fund prices.
Economic Significance: Proxy for manufacturing activity.
13. Unemployment Rate (Inverse SPY as Proxy)
Description: Inverse of the SPY ETF price.
Economic Significance: Represents unemployment trends; higher inverse SPY suggests higher unemployment.
14. Federal Reserve QE/QT Activities (Fed Balance Sheet - WALCL)
Description: Total assets held by the Federal Reserve.
Economic Significance: Indicates liquidity injections (QE) or withdrawals (QT); impacts interest rates and asset prices.
Customization and Advanced Usage
Adjusting Weights:
Purpose: Emphasize components you believe are more predictive or relevant.
Method: Increase or decrease the weight value next to each component.
Example: If you think the yield spread is particularly important, you might assign it a higher weight.
Disclaimer
This indicator is for educational and informational purposes only. It is not financial advice. Trading and investing involve risks, including possible loss of principal. Always conduct your own analysis and consult with a professional financial advisor before making investment decisions.
AOC Support & Resistance V1he AOC V1 indicator is designed to plot up to six customizable horizontal price levels on a chart with display options and label customization. This indicator is helpful for marking support (S1, S2, S3) and resistance (R1, R2, R3) levels, often used by traders to analyze market behavior.
Key Features:
Price Level Inputs: Six price levels (R1, S1, R2, S2, R3, S3) can be manually set. These levels are typically used as support and resistance levels.
Display On/Off Toggle: Each price level has an option to be toggled on or off, allowing the user to display only the relevant levels.
Custom Line Style: Users can adjust the color, width, and style (solid, dotted, or dashed) for each line to enhance the chart’s clarity and fit the user's preferences.
Label at Start of the Day: Each price level has a label that shows the price and is placed at the start of the trading day. This helps traders easily identify and track key price levels throughout the session.
Session Control: You can choose to draw the lines either for the entire chart or just for the current day’s trading session. This flexibility allows traders to focus on real-time price movements or broader trends.
Auto-Update: The lines are automatically updated as new bars are formed, ensuring that they stay anchored to the specified price levels.
Inputs:
R1, S1, R2, S2, R3, S3: The specific price levels for the resistance and support levels.
Line Color: Users can customize the line color for each level (Red for resistance levels and Green for support levels by default).
Line Width: The width of the horizontal lines, which can be adjusted from 1 to 5 pixels.
Line Style: The line style can be set to solid, dotted, or dashed, depending on user preference.
Display On/Off: Each level can be individually displayed or hidden by toggling the display option.
This indicator is highly customizable and designed to provide traders with easy-to-interpret visual cues for key price levels in the market.
Judas Swing ICT 01 [TradingFinder] New York Midnight Opening M15🔵 Introduction
The Judas Swing (ICT Judas Swing) is a trading strategy developed by Michael Huddleston, also known as Inner Circle Trader (ICT). This strategy allows traders to identify fake market moves designed by smart money to deceive retail traders.
By concentrating on market structure, price action patterns, and liquidity flows, traders can align their trades with institutional movements and avoid common pitfalls. It is particularly useful in FOREX and stock markets, helping traders identify optimal entry and exit points while minimizing risks from false breakouts.
In today's volatile markets, understanding how smart money manipulates price action across sessions such as Asia, London, and New York is essential for success. The ICT Judas Swing strategy helps traders avoid common pitfalls by focusing on key movements during the opening time and range of each session, identifying breakouts and false breakouts.
By utilizing various time frames and improving risk management, this strategy enables traders to make more informed decisions and take advantage of significant market movements.
In the Judas Swing strategy, for a bullish setup, the price first touches the high of the 15-minute range of New York midnight and then the low. After that, the price returns upward, breaks the high, and if there’s a candlestick confirmation during the pullback, a buy signal is generated.
bearish setup, the price first touches the low of the range, then the high. With the price returning downward and breaking the low, if there’s a candlestick confirmation during the pullback to the low, a sell signal is generated.
🔵 How to Use
To effectively implement the Judas Swing strategy (ICT Judas Swing) in trading, traders must first identify the price range of the 15-minute window following New York midnight. This range, consisting of highs and lows, sets the stage for the upcoming movements in the London and New York sessions.
🟣 Bullish Setup
For a bullish setup, the price first moves to touch the high of the range, then the low, before returning upward to break the high. Following this, a pullback occurs, and if a valid candlestick confirmation (such as a reversal pattern) is observed, a buy signal is generated. This confirmation could indicate the presence of smart money supporting the bullish movement.
🟣 Bearish Setup
For a bearish setup, the process is the reverse. The price first touches the low of the range, then the high. Afterward, the price moves downward again and breaks the low. A pullback follows to the broken low, and if a bearish candlestick confirmation is seen, a sell signal is generated. This confirmation signals the continuation of the downward price movement.
Using the Judas Swing strategy enables traders to avoid fake breakouts and focus on strong market confirmations. The strategy is versatile, applying to FOREX, stocks, and other financial instruments, offering optimal trading opportunities through market structure analysis and time frame synchronization.
To execute this strategy successfully, traders must combine it with effective risk management techniques such as setting appropriate stop losses and employing optimal risk-to-reward ratios. While the Judas Swing is a powerful tool for predicting price movements, traders should remember that no strategy is entirely risk-free. Proper capital management remains a critical element of long-term success.
By mastering the ICT Judas Swing strategy, traders can better identify entry and exit points and avoid common traps from fake market movements, ultimately improving their trading performance.
🔵 Setting
Opening Range : High and Low identification time range.
Extend : The time span of the dashed line.
Permit : Signal emission time range.
🔵 Conclusion
The Judas Swing strategy (ICT Judas Swing) is a powerful tool in technical analysis that helps traders identify fake moves and align their trades with institutional actions, reducing risk and enhancing their ability to capitalize on market opportunities.
By leveraging key levels such as range highs and lows, fake breakouts, and candlestick confirmations, traders can enter trades with more precision. This strategy is applicable in forex, stocks, and other financial markets and, with proper risk management, can lead to consistent trading success.
Risk Reward CalculatorPlanning your trading is an important step that you must do before buying the stock.
Risk and Reward Calculator is an important tool for the trader.
With this calculator, you only need to put the capital for one trade and it will automaticaly put the plan for you. But if you want to enter your plan for buy and sell, you just need to check the button and enter the number. the risk and reward calculator will suggest position size based on the information.
The Steps to use Risk Reward Calculator
1. enter how many percentage you can accept if your analysis is wrong.
2. enter how much money you want to trade
3. it will automaticaly calculate the plan for you
4. you can change the reward
5. but if you want to enter your own number, you can check the box. After that enter the number you want for your new plan.
MicroStrategy vs Bitcoin Power Law Model
This indicator provides a powerful tool for investors by modeling the relationship between MicroStrategy (MSTR) and Bitcoin (BTC) based on an observed power law correlation since August 2020, when MSTR adopted Bitcoin as its core investment strategy. The primary objective of the indicator is to identify areas where MSTR is overvalued or undervalued relative to BTC, offering investors crucial insights for making informed decisions.
Step-by-Step Creation Process:
Data Collection:
The indicator begins by gathering historical price data for both MSTR and BTC starting from August 2020. This period is significant as it marks MSTR’s strategic shift toward Bitcoin acquisition.
Power Law Analysis:
A power law relationship between MSTR and BTC is computed using a power of 1.3. This relationship models the price behavior of MSTR relative to BTC, providing a framework to track where MSTR’s price deviates from its expected value based on BTC's movements.
MSTR Price Model:
The MSTR price model based on this power law is then plotted against the actual price of MSTR. This allows investors to visualize areas where MSTR is potentially overvalued or undervalued relative to BTC.
Overvaluation is highlighted when the actual MSTR price exceeds the power law-based price, while undervaluation is noted when it falls below.
Time-Based Power Law Model:
Additionally, the indicator integrates a time-based model for MSTR, which shows that MSTR follows its own power law over time with a higher slope than BTC (7.2 vs. 5.8). This comparison provides further context, showing how MSTR's growth rate differs from BTC’s over time.
Oscillator Inclusion:
To complement the price models, an oscillator is added, which tracks the difference between the MSTR power law and the BTC power law. This oscillator helps visualize and quantify the divergence between the two, offering a clearer picture of periods where MSTR is performing above or below expectations compared to BTC.
Indicator Usefulness:
Overvaluation and Undervaluation Detection: By comparing MSTR’s current price against its expected power law-based price, investors can easily identify potential entry and exit points. When MSTR is overvalued relative to BTC, it may signal an opportunity to sell or reduce exposure. Conversely, undervaluation may suggest a buying opportunity.
Time-Based Growth Comparisons: The time-based power law model shows how MSTR has been growing relative to Bitcoin over time. This helps investors understand whether MSTR is outperforming or underperforming BTC in the long run.
Divergence Oscillator: The oscillator provides an intuitive way to gauge whether MSTR is significantly diverging from BTC’s growth trajectory, offering an additional signal to guide investment decisions.
Projections to the future
Projections of the MSTR power law to 500 days ahead is also included.
Why is this Indicator Useful for Investors?
This indicator offers a comprehensive view of how MSTR’s price behavior correlates with Bitcoin. By leveraging the power law relationship, it provides insight into whether MSTR is priced appropriately relative to BTC, which is especially valuable for those with exposure to both assets. The oscillator further refines this analysis by highlighting periods of divergence, offering potential trading opportunities based on relative value.
FXN1 The ForecasterIndicator Name: FXN1 The Forecaster
The FXN1 The Forecaster is a versatile and powerful seasonality-based indicator designed to analyze historical price patterns over different customizable timeframes. By identifying repeating price behaviors, the indicator helps traders anticipate future market movements based on the cyclical nature of asset prices. This indicator is particularly useful for those looking to predict seasonal trends and plot future price projections based on historical data.
Key Features:
Customizable Lookback Periods:
The indicator allows users to choose between 5, 10, or 15-year historical lookback periods to assess long-term price trends.
The default setting is a 10-year lookback period, but users can toggle between the options to see different historical behaviors.
By analyzing these different timeframes, traders can compare how price patterns have evolved over the past 5, 10, or 15 years, providing multiple perspectives on potential seasonal trends.
Seasonality-Based Forecasting:
The indicator generates a seasonality chart by calculating the average price movements for each trading day, week, or month within the selected lookback period.
These averages are plotted as lines that extend into the future (using a default forecast of 150 bars), offering a visualization of potential future price behavior based on historical trends.
This provides traders with a visual forecast that helps in anticipating potential future highs and lows, key reversal points, or trend continuations.
Automatic Line Drawing for Highs and Lows:
The indicator automatically detects and marks the highest and lowest points of the selected lookback period by drawing two lines:
A red line from the highest point in the past, indicating the historical peak of price behavior within the lookback period.
A green line from the lowest point in the past, indicating the historical trough or lowest price level.
These lines offer clear visual reference points for significant historical support and resistance levels.
Visual Customization:
The indicator provides the ability to change the color of the seasonal line for easy visual distinction. The default color is light gray, but this can be modified to suit individual preferences.
The line width is set to 2 by default, and this setting is hidden from the menu to keep the interface clean and focused on essential options.
The historical seasonality lines are drawn with customizable width and colors, providing a clean and informative visual on the chart without overwhelming the trader.
How It Works:
Step 1: Select the desired historical lookback period (5, 10, or 15 years). This will define the number of years of historical data to use in calculating seasonal price movements.
Step 2: The indicator collects and averages the price movements from each day, week, or month within the selected lookback period.
Step 3: The indicator draws the seasonality line by connecting the averaged price movements over time.
Step 4: Based on the historical data, the indicator extends a forecast line 150 bars into the future, offering traders a visual guide on what the future price action may look like.
Seasonal Trend Prediction:
The indicator is ideal for traders looking to identify seasonal trends in an asset’s price action. For example, commodities like oil, agricultural products, or indices often exhibit strong seasonal tendencies, which this tool can help pinpoint.
Forecasting Future Price Action:
By extrapolating past data into the future, traders can forecast potential future price highs and lows and identify opportunities to enter or exit positions.
Comparing Multiple Timeframes:
The ability to switch between 5, 10, and 15-year lookback periods allows traders to compare different timeframes and see how price trends have evolved over time. This helps in developing more comprehensive trade strategies by factoring in longer-term historical data.
Customization Options:
Lookback Period Selection: Choose between 5, 10 (default), and 15 years for historical data analysis.
Color Customization : Modify the color of the forecasted seasonal lines for better visual clarity.
Conclusion:
The FXN1 The Forecaster is a unique and customizable seasonality indicator designed for traders who want to incorporate long-term historical price patterns into their trading strategies. It provides clear insights into seasonal trends, key historical price levels, and potential future price movements. Whether you're a swing trader looking for cyclical patterns or a long-term investor seeking to understand broader price behavior, this tool offers a robust solution for analyzing market seasonality.
[ AlgoChart ] - Pearson Index CorrelationCorrelation Indicator (Pearson Index)
The correlation indicator measures the strength and direction of the relationship between two financial assets using the Pearson Index.
Correlation values range from +100 to -100, where:
+100 indicates perfect positive correlation, meaning the two assets tend to move in the same direction.
-100 indicates perfect negative correlation, where the two assets move in opposite directions.
The neutral zone ranges from +25% to -25%, suggesting that the asset movements are independent, with no clear correlation between them.
Interpreting Correlation Levels:
Correlation above +75%: The two assets tend to move similarly and in the same direction. This may indicate a risk of overexposure if both assets are traded in the same direction, as their movements will be very similar, increasing the likelihood of double losses or gains.
Correlation below -75%: The two assets tend to move similarly but in opposite directions. This correlation level can be useful for strategies that benefit from opposing movements between assets, such as trading pairs with inverse dynamics.
Practical Use of the Indicator:
Risk management: Use the indicator to monitor asset correlations before opening positions. High correlation may indicate you are duplicating exposure, as two highly correlated assets tend to move similarly. This helps avoid excessive risk and improves portfolio diversification.
Statistical Arbitrage: During moments of temporary decorrelation between two assets, the indicator can be used for statistical arbitrage strategies. In such cases, you can take advantage of the divergence by opening positions and closing them when the correlation returns to higher or positive levels, thus potentially profiting from the reconvergence of movements.
While the correlation indicator provides valuable insights into asset relationships, it is most effective when used in conjunction with other concepts and tools. On its own, it may offer limited relevance in trading decisions.
Gold IBH/IBL with IBM, Overnight Levels, OVM, and ONVPOCThe Initial Balance (IB) indicator for gold trading is a valuable tool for identifying key price levels and potential trade setups. Here's an overview of how it works:
Initial Balance Calculation
The Initial Balance for gold is calculated from 8:20 AM to 9:20 AM EST, coinciding with the COMEX open. This one-hour period establishes crucial reference points for the trading day.
Key Levels
The indicator displays several important price levels:
IB High: The highest price reached during the Initial Balance period
IB Low: The lowest price reached during the Initial Balance period
IB Midpoint: The average of the IB High and IB Low
These levels often serve as significant support and resistance areas, with many traders placing stop-losses around them.
Overnight Levels
In addition to the IB levels, the indicator shows overnight price action:
ONH: Overnight High
ONL: Overnight Low
ONM: Overnight Midpoint
Overnight VWAP: Volume Weighted Average Price from the overnight session
These overnight levels have a high probability of being tested during the COMEX trading session, making them valuable reference points for traders.
Trading Applications
Traders can use the IB and overnight levels for various purposes:
Setting profit targets
Identifying potential trade entry points
Managing risk by placing stop-losses at key levels
Gauging overall market sentiment and volatility
The levels established during both the Initial Balance and overnight sessions are likely to be touched during the COMEX trading session. This insight allows traders to make more informed decisions and enhances their trading strategies.
If you have more questions about the trading strategy, please DM me, and I can explain further. I also have probabilities of all these levels being broken during the COMEX trading hours, which gives us confidence to hold our trades to targets.
Understanding and utilizing these levels can provide traders with a competitive edge in gold trading, helping them make more informed decisions based on early market dynamics and overnight price action.
Consecutive Candle Detector Consecutive Candle Detector , can be used to highlight impulsive moves . 3 or more candles with the same colour in the same direction .
Set an alert notification to let you know price has moved in an impulsive way and is forming a pattern to sell or buy
ML Supply Zone Strategy - ETHOverview
The ML (Machine Learning) Supply Zone Strategy for ETH is an advanced trading tool designed for traders looking to capitalize market movements in Ethereum (ETH). This strategy employs sophisticated machine learning techniques to identify supply zones by analyzing historical price data and calculating the statistical likelihood of price movements in specific directions. Our proprietary Python scripts perform monthly analyses to update these probabilities, ensuring the strategy adapts to evolving market conditions.
Key Features
Machine Learning-Derived Supply Zones-
Data-Driven Identification: Utilizes ML algorithms to process extensive historical price data of ETH, pinpointing supply zones where significant price reversals or continuations are statistically probable.
Probability Assessment: Breaks down the percentage chance of the price moving up or down upon reaching these zones, based on patterns recognized by the ML (machine learning) models.
Monthly Updates: Refreshes supply zones and probabilities every month through new data analysis, keeping the strategy current with market trends.
Proprietary Python Script Integration-
Advanced Algorithms: Our custom Python scripts employ clustering algorithms (e.g., K-means, DBSCAN) and statistical analysis to detect meaningful patterns in ETH price action.
Seamless Strategy Integration: The outputs from the Python analysis are directly incorporated into the trading script, providing actionable insights without the need for external tools.
Comprehensive Risk Management-
Precise Entry and Exit Points: Based on ML-derived supply zones and associated probabilities, the strategy sets exact entry and exit points to optimize trade outcomes.
Risk-to-Reward Optimization: Implements stop-loss and take-profit levels designed to achieve a favorable risk-to-reward ratio, typically aiming for 1:3 (0.7% SL / 2.1% TP).
Versatility Across Timeframes: While the strategy works well across various timeframes, it performs particularly effectively on the 1-minute timeframe, capturing short-term market movements.
How the Strategy Works
Data Collection and ML Analysis-
Historical Price Data Processing: The proprietary Python scripts analyze large datasets of historical ETH price movements, focusing on identifying zones where supply exceeds demand, leading to potential price drops.
Feature Extraction: ML models extract features such as price levels, volume spikes, and volatility measures that influence supply zone formations.
Probability Calculation-
Statistical Modeling: Uses statistical techniques to calculate the probability of price moving in a particular direction after reaching a supply zone.
Pattern Recognition: Identifies recurring patterns and correlations that have historically led to significant price movements.
Integration into Trading Script-
Supply Zone Mapping: The identified supply zones and their associated probabilities are embedded into the trading script as key levels.
Signal Generation:
Entry Signals: Triggered when the current price approaches a supply zone with a high probability of a downward move.
Choppiness Index (CI) and Volume Filtering-
Trade Quality Enhancement: To prevent excessive trading on determined supply zones, the strategy incorporates the Choppiness Index and volume filters.
Market Condition Assessment: The CI helps determine whether the market is trending or ranging, ensuring trades are taken in optimal conditions.
Liquidity Confirmation: Volume filters ensure that trades are only executed when there is sufficient market activity, improving execution and reliability.
Setup and Configuration
Access the Strategy: Add the ML Supply Zone Probability Strategy for ETH to your TradingView chart.
Select the Correct Chart: Apply it to the Pionex ETH/USDT Perpetual chart for optimal performance.
Select Timeframe: For best results, use the 1-minute timeframe (although almost all timeframes work).
Customize Settings: Adjust parameters such as risk tolerance, position sizing, and probability thresholds to suit your trading preferences.
Backtesting Recommendations
Sufficient Trade Sample Size: To generate around 100+ trades in backtesting, it is recommended to extend the backtesting period to at least three months.
Statistical Significance: A larger number of trades provides a more reliable assessment of the strategy's performance, enhancing confidence in its effectiveness.
Daily Seasonality [YuL]This indicator calculates average returns for trading days across specified number of years in the past and displays this as a histogram. In addition, it displays EMA of these values as filled area plot.
Indicator uses ordinal number of trading day in a year, i.e. January 3rd may be 1st trading day, January 4th - 2nd trading day, etc.
Large green or red areas may mean that there is a strong seasonal factor at these dates that may support, launch, or break a trend.
It only works on daily timeframe at the moment. Maximum number of years it can look back is 15.
Probability GoldThis is a leading indicator designed for the 1 minute chart, and while it works on any time frame, I haven't tested it's practicality outside of the 1 minute chart. This uses historical data and applies statistical analysis to key metrics of momentum. The data is filtered by "time of day" as well as "day of week", but be mindful that the "day of week" option reduces your total amount of data points, and will not work well on new stocks. This indicator also uses binary/gaussian distribution concepts to create channels and pockets which act as seemingly magnetic forces. This is all speculative. Do not use this indicator on its own. This is intended to do nothing more than to show you whether if, on average, the historical data under the same time and rate of change conditions, goes for or against your trade. Use it in conjunction with your most trusted and classic indicators. This can act as a small nudge, letting you now the chances of what you have already established in your mind. This is HIGHLY experimental, made by an amateur, and also very pretty. So, enjoy!
[Becak] - Swing Point Retracement & Prediction" - Swing Point Retracement & Prediction," is designed to identify swing points in price action, calculate retracement levels, and predict potential future price levels. It's a technical analysis tool that can help traders identify potential support and resistance levels, as well as possible reversal points.
HOW IT WORK
Swing Point Detection:
The indicator uses the ta.pivothigh() and ta.pivotlow() functions to identify swing highs and lows within a specified lookback period.
Retracement Levels:
When a new swing point is detected, the indicator calculates a retracement level based on the user-defined retracement percentage. It draws a dashed blue line at the retracement level, along with a yellow circle and a label showing the price.
Swing Point Labeling:
Swing highs are marked with a green "H" label and the price, and Swing lows are marked with a red "L" label and the price.
Price Prediction:
Based on the most recent swing point, the indicator attempts to predict the next potential high or low. It draws a purple dashed line extending into the future, indicating the predicted price level.
HOW TO USE THIS INDICATOR:
adjust the input parameters:
"Swing Point Lookback": Determines how far back the indicator looks to identify swing points. A larger value will result in fewer, more significant swing points.
"Retracement %": Sets the percentage for calculating retracement levels. 50% is a common Fibonacci retracement level, but you can adjust this based on your trading strategy.
"Prediction Length": Determines how far into the future the prediction line extends.
Interpret the results:
Use the swing point labels (H and L) to quickly identify recent highs and lows. The blue dashed lines and yellow circles indicate potential support or resistance levels based on the retracement percentage. The purple dashed line shows a potential future price target. This can be used to set profit targets or identify potential reversal zones.
Combine with other analysis:
This indicator works best when combined with other forms of analysis, such as trend lines, moving averages, or candlestick patterns.
Use the retracement levels and predictions as potential entry or exit points, but always confirm with other indicators or price action signals.
Statistical Volatility° [Pro+] (Joshuuu)Introduction:
Statistical Volatility is a custom-built indicator designed to help traders track the historical range volatility of each individual candle of a given Timeframe. Compared to traditional volatility metrics, or lookback-based volatility calculations, this indicator is focused on the idea of Time-based volatility.
Description:
Whether you are looking at intraday price movements or weekly trends, this tool provides a clear, visual representation of the average range each candle typically covers. By understanding these volatility patterns, traders can observe when markets are likely to expand or consolidate, based on Time.
To obtain this insightful metrics, all available candle range data is normalized; values are therefore represented as a percentage of the maximum historical Time volatility, indicating how each candle range compares relative to the highest value. This allows for an easy comparison of volatility across different Time periods.
Key Features:
Detailed Volatility Tracking: The Statistical Volatility indicator enables traders to track the volatility of each candle throughout the day, week, or month, depending on the selected Timeframe. It helps to identify statistical Times of expansion or consolidation, beyond what current price data may showcase.
Timeframe Adaptability: On lower timeframes such as the 5 Minute Timeframe, the indicator calculates and plots the statistical range for each 5 Minute candle of the day, respectively. On higher timeframes, such as 1 Hour Timeframe or above, the ranges are plotted for each candle of the week, respectively. This adaptability ensures the indicator is versatile enough for day traders, scalpers, and swing traders alike; maintaining a highly granular yet versatile statistical edge.
Flexible Display Options: Traders can choose between different visualization methods, in form of a Heatmap or a Barchart, to display the volatility calculations. The heatmap offers a simple visualization of the data, relying entirely on the color gradient to display volatility. On the other hand, the Barchart gives more flexibility to the analyst by providing a more detailed visual analysis, with the ability of overlaying and comparing the current Time-based volatility.
How Traders Can Use Statistical Volatility (Joshuuu) Effectively:
Data-Based Optimization: By understanding when the market typically experiences its largest or smallest moves, traders can better frame the current narrative. Especially when backtesting, this information can help optimize analysts' entry mechanisms thanks to the introduction of a Time-based statistical component.
Asset-Specific Insights: Currencies like Forex pairs (i.e. FOREXCOM:EURUSD , FOREXCOM:AUDUSD ) or other Asset Classes tied to a particular geographical location (i.e. CME_MINI:NQ1! in the United States, XETR:DAX in Germany), experience volatility spikes during the operational hours of major banks. Each asset has its own “active” Time when liquidity and volatility are higher, tied to when their corresponding markets are open. This makes Statistical Volatility particularly useful for traders who focus on multiple assets across different time zones.
Usage Guidance:
Add Statistical Volatility (Joshuuu) to your TradingView chart.
Customize your preferred volatility calculation type, gradient colors, and plot styles.
Use the volatility graphic to monitor current and upcoming shifts in volatility.
Incorporate Statistical Volatility (Joshuuu) into your existing statistical strategies to fine-tune your interpretation of market behaviour.
These tools are available ONLY on the TradingView platform.
Terms and Conditions
Our charting tools are products provided for informational and educational purposes only and do not constitute financial, investment, or trading advice. Our charting tools are not designed to predict market movements or provide specific recommendations. Users should be aware that past performance is not indicative of future results and should not be relied upon for making financial decisions. By using our charting tools, the purchaser agrees that the seller and the creator are not responsible for any decisions made based on the information provided by these charting tools. The purchaser assumes full responsibility and liability for any actions taken and the consequences thereof, including any loss of money or investments that may occur as a result of using these products. Hence, by purchasing these charting tools, the customer accepts and acknowledges that the seller and the creator are not liable nor responsible for any unwanted outcome that arises from the development, the sale, or the use of these products. Finally, the purchaser indemnifies the seller from any and all liability. If the purchaser was invited through the Friends and Family Program, they acknowledge that the provided discount code only applies to the first initial purchase of the Toodegrees Premium Suite subscription. The purchaser is therefore responsible for cancelling – or requesting to cancel – their subscription in the event that they do not wish to continue using the product at full retail price. If the purchaser no longer wishes to use the products, they must unsubscribe from the membership service, if applicable. We hold no reimbursement, refund, or chargeback policy. Once these Terms and Conditions are accepted by the Customer, before purchase, no reimbursements, refunds or chargebacks will be provided under any circumstances.
By continuing to use these charting tools, the user acknowledges and agrees to the Terms and Conditions outlined in this legal disclaimer.
2024 - Seasonality - Open to CloseScript Description:
This Pine Script is designed to visualise **seasonality** in the financial markets by calculating the **open-to-close percentage change** for each month of a selected asset. It creates a **heatmap** table to display the monthly performance over multiple years. The script provides detailed statistical summaries, including:
- **Average monthly percentage changes**
- **Standard deviation** of the changes
- **Percentage of months with positive returns**
The script also allows users to adjust colour intensities for positive and negative values, specify which year to start from, and skip specific months. Key metrics such as averages, standard deviations, and percentages of positive months can be toggled on or off based on user preferences. The result is a clear, visual representation of how an asset typically performs month by month, aiding in seasonality analysis.
US Recessions based on James Hamilton's JHDUSRGDPBRThis simple script uses James Hamilton's JHDUSRGDPBR indicator to colour areas representing recession periods in the US. Best used in conjunction with other macroeconomics indicators, like –as in the example– unemployment rates
