OPEN-SOURCE SCRIPT
已更新 Multi Beta Coefficient Table

!CREDITS TO ORIGINAL CREATOR OF THE BETA INDICATOR @NianiaFrania🐸| Crypto Captain!
I modified the code to include 7 benchmarks and a table with all the values.
The Multi Beta Coefficient Table indicator calculates the beta coefficient for a given asset compared to multiple benchmarks. The beta coefficient measures the volatility of an asset in relation to the volatility of a benchmark. A beta coefficient greater than 1 indicates that the asset is more volatile than the benchmark, while a beta coefficient less than 1 suggests lower volatility compared to the benchmark.
How it Works:
Input Parameters:
Beta measurement length on Benchmark #1 (LENGTH): This parameter determines the length of the period over which the beta coefficient is calculated for the first benchmark. A longer period provides a broader perspective on the asset's volatility relative to the benchmark.
Calculations:
The indicator retrieves price data for the asset and multiple benchmarks.
It calculates the percentage return for each security over the specified period using the return_percent function.
Moving averages (ta.sma) are calculated for both the asset and each benchmark based on the specified length.
Variance and covariance are computed to determine the beta coefficient for each benchmark.
Visualization:
The beta coefficients for each benchmark are plotted on the chart with different colors for clarity.
Additionally, a table is displayed on the chart's right side, showing the beta coefficients for each benchmark.
Label Display:
If enabled, labels are displayed next to each plotted beta coefficient, indicating the corresponding benchmark.
Input Parameter: LENGTH:
The LENGTH parameter determines the number of bars used in calculating the moving averages and other statistical measures required for beta coefficient calculation. A longer length provides a more stable and reliable estimate of the asset's volatility relative to the benchmark over time. Traders and analysts can adjust this parameter based on their specific analysis needs and trading strategies.
Usage:
Traders and investors can use the Multi Beta Coefficient Table indicator to assess the risk and volatility of an asset compared to various benchmarks. By analyzing the beta coefficients, they can make informed decisions about portfolio diversification, risk management, and investment strategies.
I modified the code to include 7 benchmarks and a table with all the values.
The Multi Beta Coefficient Table indicator calculates the beta coefficient for a given asset compared to multiple benchmarks. The beta coefficient measures the volatility of an asset in relation to the volatility of a benchmark. A beta coefficient greater than 1 indicates that the asset is more volatile than the benchmark, while a beta coefficient less than 1 suggests lower volatility compared to the benchmark.
How it Works:
Input Parameters:
Beta measurement length on Benchmark #1 (LENGTH): This parameter determines the length of the period over which the beta coefficient is calculated for the first benchmark. A longer period provides a broader perspective on the asset's volatility relative to the benchmark.
Calculations:
The indicator retrieves price data for the asset and multiple benchmarks.
It calculates the percentage return for each security over the specified period using the return_percent function.
Moving averages (ta.sma) are calculated for both the asset and each benchmark based on the specified length.
Variance and covariance are computed to determine the beta coefficient for each benchmark.
Visualization:
The beta coefficients for each benchmark are plotted on the chart with different colors for clarity.
Additionally, a table is displayed on the chart's right side, showing the beta coefficients for each benchmark.
Label Display:
If enabled, labels are displayed next to each plotted beta coefficient, indicating the corresponding benchmark.
Input Parameter: LENGTH:
The LENGTH parameter determines the number of bars used in calculating the moving averages and other statistical measures required for beta coefficient calculation. A longer length provides a more stable and reliable estimate of the asset's volatility relative to the benchmark over time. Traders and analysts can adjust this parameter based on their specific analysis needs and trading strategies.
Usage:
Traders and investors can use the Multi Beta Coefficient Table indicator to assess the risk and volatility of an asset compared to various benchmarks. By analyzing the beta coefficients, they can make informed decisions about portfolio diversification, risk management, and investment strategies.
版本注释
Plots can now be turned on/off Label for Benchmark7 is not the name of the asset selected
版本注释
.开源脚本
本着TradingView的真正精神,此脚本的创建者将其开源,以便交易者可以查看和验证其功能。向作者致敬!虽然您可以免费使用它,但请记住,重新发布代码必须遵守我们的网站规则。
🔍 Access Investing Strategies & Indicators
📊 whop.com/marktquant
🌐 marktquant.com
Nothing shared on this page constitutes financial advice. All information, tools, and analyses are provided solely for informational and educational purposes.
📊 whop.com/marktquant
🌐 marktquant.com
Nothing shared on this page constitutes financial advice. All information, tools, and analyses are provided solely for informational and educational purposes.
免责声明
这些信息和出版物并不意味着也不构成TradingView提供或认可的金融、投资、交易或其它类型的建议或背书。请在使用条款阅读更多信息。
开源脚本
本着TradingView的真正精神,此脚本的创建者将其开源,以便交易者可以查看和验证其功能。向作者致敬!虽然您可以免费使用它,但请记住,重新发布代码必须遵守我们的网站规则。
🔍 Access Investing Strategies & Indicators
📊 whop.com/marktquant
🌐 marktquant.com
Nothing shared on this page constitutes financial advice. All information, tools, and analyses are provided solely for informational and educational purposes.
📊 whop.com/marktquant
🌐 marktquant.com
Nothing shared on this page constitutes financial advice. All information, tools, and analyses are provided solely for informational and educational purposes.
免责声明
这些信息和出版物并不意味着也不构成TradingView提供或认可的金融、投资、交易或其它类型的建议或背书。请在使用条款阅读更多信息。