Finding Dispersion Opportunities Guide

(1 customer review)

 1,95

The “Dispersion Trading Strategies” guide is structured into 12 focused sections, each teaching a specific aspect of finding dispersion opportunities using Python. The sections include:

  1. Finding Components of the ETF/Index
  2. Basic Filtering
  3. Retrieve Bars (OHLC)
  4. Compute Return Correlations
  5. Compute Realized Volatility
  6. Retrieve Implied Volatility
  7. Calculate Weighted Edge per Stock
  8. Find Opportunity
  9. Putting It All Together

Each section builds on the previous, providing a comprehensive and practical approach to mastering dispersion trading using Python, from initial data gathering to final opportunity identification. Each section focuses on a key step and uses Python for data analysis and strategy development, making it an ideal resource for those who want to learn how to apply coding skills to advanced trading techniques.

Description

The “Dispersion Trading Strategies” guide is structured into 12 focused sections, each teaching a specific aspect of finding dispersion opportunities using Python. The sections include:

  1. Finding Components of the ETF/Index
  2. Basic Filtering
  3. Retrieve Bars (OHLC)
  4. Compute Return Correlations
  5. Compute Realized Volatility
  6. Retrieve Implied Volatility
  7. Calculate Weighted Edge per Stock
  8. Find Opportunity
  9. Putting It All Together

Each section builds on the previous, providing a comprehensive and practical approach to mastering dispersion trading using Python, from initial data gathering to final opportunity identification. Each section focuses on a key step and uses Python for data analysis and strategy development, making it an ideal resource for those who want to learn how to apply coding skills to advanced trading techniques.

1 review for Finding Dispersion Opportunities Guide

  1. thetatitans.com

    The “Dispersion Trading Strategies” guide is an indispensable resource for any trader looking to delve into the world of dispersion trading with a hands-on, practical approach.

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