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Quantopian Lecture Series

This is a comprehensive repository of all Quantopian lectures. They've been "translated" to python3, for example, leveraging libraries such as yfinance instead of get_pricing().

  1. Plotting Data — [Notebook]
  2. Means — [Notebook]
  3. Variance — [Notebook]
  4. Statistical Moments — [Notebook]
  5. Linear Correlation Analysis — [Notebook]
  6. Instability of Estimates — [Notebook]
  7. Random Variables — [Notebook]
  8. Linear Regression — [Notebook]
  9. Maximum Likelihood Estimation — [Notebook]
  10. Regression Model Instability — [Notebook]
  11. Multiple Linear Regression — [Notebook]
  12. Violations of Regression Models — [Notebook]
  13. Model Misspecification — [Notebook]
  14. Residual Analysis — [Notebook]
  15. The Dangers of Overfitting — [Notebook]
  16. Hypothesis Testing — [Notebook]
  17. Confidence Intervals — [Notebook]
  18. p-Hacking and Multiple Comparisons Bias — [Notebook] [Video]
  19. Spearman Rank Correlation — [Notebook] [Video]
  20. Leverage — [Notebook]
  21. Position Concentration Risk — [Notebook] [Video]
  22. Estimating Covariance Matrices — [Notebook]
  23. Introduction to Volume, Slippage, and Liquidity — [Notebook]
  24. Market Impact Models — [Notebook]
  25. Universe Selection — [Notebook] [Video]
  26. The Capital Asset Pricing Model and Arbitrage Pricing Theory — [Notebook]
  27. Beta Hedging — [Notebook] [Video]
  28. Fundamental Factor Models — [Notebook] [Video]
  29. Portfolio Analysis — [Notebook]
  30. Factor Risk Exposure — [Notebook] [Video]
  31. Risk-Constrained Portfolio Optimization — [Notebook]
  32. Principal Component Analysis — [Notebook]
  33. Long-Short Equity — [Notebook]
  34. Example: Long-Short Equity Algorithm — [Notebook]
  35. Factor Analysis with Alphalens — [Notebook] [Video]
  36. Why You Should Hedge Beta and Sector Exposures (Part I) — [Notebook]
  37. Why You Should Hedge Beta and Sector Exposures (Part II) — [Notebook]
  38. VaR and CVaR — [Notebook]
  39. Integration, Cointegration, and Stationarity — [Notebook] [Video]
  40. Introduction to Pairs Trading — [Notebook] [Video]
  41. Example: Basic Pairs Trading Algorithm — [Notebook]
  42. Example: Pairs Trading Algorithm — [Notebook]
  43. Autocorrelation and AR Models — [Notebook] [Video]
  44. ARCH, GARCH, and GMM — [Notebook]
  45. Kalman Filters — [Notebook] [Video]
  46. Example: Kalman Filter Pairs Trade — [Notebook]
  47. Introduction to Futures — [Notebook]
  48. Futures Trading Considerations — [Notebook]
  49. Mean Reversion on Futures — [Notebook]
  50. Example: Pairs Trading on Futures — [Notebook]
  51. Case Study: Traditional Value Factor — [Notebook]
  52. Case Study: Comparing ETFs — [Notebook]

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