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Quantopian Lectures Saved

Lecture 1: Introduction to Research β€” [πŸ“Lecture Notebooks] [▢️Video]
Lecture 2: Introduction to Python β€” [πŸ“Lecture Notebooks] [▢️Video]
Lecture 3: Introduction to NumPy β€” [πŸ“Lecture Notebooks] [▢️Video]
Lecture 4: Introduction to pandas β€” [πŸ“Lecture Notebooks] [▢️Video]
Lecture 5: Plotting Data β€” [πŸ“Lecture Notebooks] [▢️Video]
Lecture 6: Means β€” [πŸ“Lecture Notebooks] [▢️Video]
Lecture 7: Variance β€” [πŸ“Lecture Notebooks] [▢️Video]
Lecture 8: Statistical Moments β€” [πŸ“Lecture Notebooks] [▢️Video]
Lecture 9: Linear Correlation Analysis β€” [πŸ“Lecture Notebooks] [▢️Video]
Lecture 10: Instability of Estimates β€” [πŸ“Lecture Notebooks] [▢️Video]
Lecture 11: Random Variables β€” [πŸ“Lecture Notebooks]
Lecture 12: Linear Regression β€” [πŸ“Lecture Notebooks] [▢️Video]
Lecture 13: Maximum Likelihood Estimation β€” [πŸ“Lecture Notebooks]
Lecture 14: Regression Model Instability β€” [πŸ“Lecture Notebooks] [▢️Video]
Lecture 15: Multiple Linear Regression β€” [πŸ“Lecture Notebooks]
Lecture 16: Violations of Regression Models β€” [πŸ“Lecture Notebooks] [▢️Video]
Lecture 17: Model Misspecification β€” [πŸ“Lecture Notebooks] [▢️Video]
Lecture 18: Residual Analysis β€” [πŸ“Lecture Notebooks]
Lecture 19: The Dangers of Overfitting β€” [πŸ“Lecture Notebooks] [▢️Video]
Lecture 20: Hypothesis Testing β€” [πŸ“Lecture Notebooks]
Lecture 21: Confidence Intervals β€” [πŸ“Lecture Notebooks]
Lecture 22: p-Hacking and Multiple Comparisons Bias β€” [πŸ“Lecture Notebooks] [▢️Video]
Lecture 23: Spearman Rank Correlation β€” [πŸ“Lecture Notebooks] [▢️Video]
Lecture 24: Leverage β€” [πŸ“Lecture Notebooks]
Lecture 25: Position Concentration Risk β€” [πŸ“Lecture Notebooks] [▢️Video]
Lecture 26: Estimating Covariance Matrices β€” [πŸ“Lecture Notebooks]
Lecture 27: Introduction to Volume, Slippage, and Liquidity β€” [πŸ“Lecture Notebooks]
Lecture 28: Market Impact Models β€” [πŸ“Lecture Notebooks]
Lecture 29: Universe Selection β€” [πŸ“Lecture Notebooks] [▢️Video]
Lecture 30: The Capital Asset Pricing Model and Arbitrage Pricing Theory β€” [πŸ“Lecture Notebooks]
Lecture 31: Beta Hedging β€” [πŸ“Lecture Notebooks] [▢️Video]
Lecture 32: Fundamental Factor Models β€” [πŸ“Lecture Notebooks] [▢️Video]
Lecture 33: Portfolio Analysis β€” [πŸ“Lecture Notebooks]
Lecture 34: Factor Risk Exposure β€” [πŸ“Lecture Notebooks] [▢️Video]
Lecture 35: Risk-Constrained Portfolio Optimization β€” [πŸ“Lecture Notebooks]
Lecture 36: Principal Component Analysis β€” [πŸ“Lecture Notebooks]
Lecture 37: Long-Short Equity β€” [πŸ“Lecture Notebooks]
Lecture 38: Example: Long-Short Equity Algorithm β€” [πŸ“Lecture Notebooks]
Lecture 39: Factor Analysis with Alphalens β€” [πŸ“Lecture Notebooks] [▢️Video]
Lecture 40: Why You Should Hedge Beta and Sector Exposures (Part I) β€” [πŸ“Lecture Notebooks]
Lecture 41: Why You Should Hedge Beta and Sector Exposures (Part II) β€” [πŸ“Lecture Notebooks]
Lecture 42: VaR and CVaR β€” [πŸ“Lecture Notebooks]
Lecture 43: Integration, Cointegration, and Stationarity β€” [πŸ“Lecture Notebooks] [Video]
Lecture 44: Introduction to Pairs Trading β€” [πŸ“Lecture Notebooks] [▢️Video]
Lecture 45: Example: Basic Pairs Trading Algorithm β€” [πŸ“Lecture Notebooks]
Lecture 46: Example: Pairs Trading Algorithm β€” [πŸ“Lecture Notebooks]
Lecture 47: Autocorrelation and AR Models β€” [πŸ“Lecture Notebooks] [▢️Video]
Lecture 48: ARCH, GARCH, and GMM β€” [πŸ“Lecture Notebooks]
Lecture 49: Kalman Filters β€” [πŸ“Lecture Notebooks] [▢️Video]
Lecture 50: Example: Kalman Filter Pairs Trade β€” [πŸ“Lecture Notebooks]
Lecture 51: Introduction to Futures β€” [πŸ“Lecture Notebooks]
Lecture 52: Futures Trading Considerations β€” [πŸ“Lecture Notebooks]
Lecture 53: Mean Reversion on Futures β€” [πŸ“Lecture Notebooks]
Lecture 54: Example: Pairs Trading on Futures β€” [πŸ“Lecture Notebooks]
Lecture 55: Case Study: Traditional Value Factor β€” [πŸ“Lecture Notebooks]
Lecture 56: Case Study: Comparing ETFs β€” [πŸ“Lecture Notebooks]

@BVodka

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@BVodka BVodka commented Oct 30, 2020

Awesome @ih2502mk just started on learning and Quantopia went down. Thanks so much for this.

@jobquiroz

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@jobquiroz jobquiroz commented Nov 1, 2020

Thank you for this

@ThieryLebeau

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@ThieryLebeau ThieryLebeau commented Nov 2, 2020

Hi @ih2502mk and everyone!
How to download all these information at once ?

@mburke19

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@mburke19 mburke19 commented Nov 24, 2020

Thanks for this!!

@nfarsi

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@nfarsi nfarsi commented Jan 2, 2021

Many thanks for saving this information

@akshayrama3

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@akshayrama3 akshayrama3 commented Jan 12, 2021

lets get this moneyyy

@EigusBikeCo

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@EigusBikeCo EigusBikeCo commented Apr 26, 2021

Thank you so much for this!!

@SimonKufeld

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@SimonKufeld SimonKufeld commented Jul 1, 2021

Thank god you saved those resources

@muehlegger

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@muehlegger muehlegger commented Jul 27, 2021

Thanks for saving and providing these great lectures!

@dallen101

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@dallen101 dallen101 commented Aug 22, 2021

Wow. I don't have the words to express how grateful and happy I am right now! Thank you!

@Big-al

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@Big-al Big-al commented Aug 25, 2021

Awesome! Thank you!

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