{"slug": "quantopian-lectures-saved", "title": "Quantopian Lectures Saved", "summary": "The article lists 56 lectures from the Quantopian educational series, covering topics from Python programming and statistics to portfolio optimization and pairs trading. Each lecture entry includes links to Jupyter Notebooks and, where available, video recordings. The content appears to be a preserved archive of the original Quantopian lecture materials.", "body_md": "Lecture 1: Introduction to Research — [📝Lecture Notebooks] [▶️Video]\nLecture 2: Introduction to Python — [📝Lecture Notebooks] [▶️Video]\nLecture 3: Introduction to NumPy — [📝Lecture Notebooks] [▶️Video]\nLecture 4: Introduction to pandas — [📝Lecture Notebooks] [▶️Video]\nLecture 5: Plotting Data — [📝Lecture Notebooks] [▶️Video]\nLecture 6: Means — [📝Lecture Notebooks] [▶️Video]\nLecture 7: Variance — [📝Lecture Notebooks] [▶️Video]\nLecture 8: Statistical Moments — [📝Lecture Notebooks] [▶️Video]\nLecture 9: Linear Correlation Analysis — [📝Lecture Notebooks] [▶️Video]\nLecture 10: Instability of Estimates — [📝Lecture Notebooks] [▶️Video]\nLecture 11: Random Variables — [📝Lecture Notebooks]\nLecture 12: Linear Regression — [📝Lecture Notebooks] [▶️Video]\nLecture 13: Maximum Likelihood Estimation — [📝Lecture Notebooks]\nLecture 14: Regression Model Instability — [📝Lecture Notebooks] [▶️Video]\nLecture 15: Multiple Linear Regression — [📝Lecture Notebooks]\nLecture 16: Violations of Regression Models — [📝Lecture Notebooks] [▶️Video]\nLecture 17: Model Misspecification — [📝Lecture Notebooks] [▶️Video]\nLecture 18: Residual Analysis — [📝Lecture Notebooks]\nLecture 19: The Dangers of Overfitting — [📝Lecture Notebooks] [▶️Video]\nLecture 20: Hypothesis Testing — [📝Lecture Notebooks]\nLecture 21: Confidence Intervals — [📝Lecture Notebooks]\nLecture 22: p-Hacking and Multiple Comparisons Bias — [📝Lecture Notebooks] [▶️Video]\nLecture 23: Spearman Rank Correlation — [📝Lecture Notebooks] [▶️Video]\nLecture 24: Leverage — [📝Lecture Notebooks]\nLecture 25: Position Concentration Risk — [📝Lecture Notebooks] [▶️Video]\nLecture 26: Estimating Covariance Matrices — [📝Lecture Notebooks]\nLecture 27: Introduction to Volume, Slippage, and Liquidity — [📝Lecture Notebooks]\nLecture 28: Market Impact Models — [📝Lecture Notebooks]\nLecture 29: Universe Selection — [📝Lecture Notebooks] [▶️Video]\nLecture 30: The Capital Asset Pricing Model and Arbitrage Pricing Theory — [📝Lecture Notebooks]\nLecture 31: Beta Hedging — [📝Lecture Notebooks] [▶️Video]\nLecture 32: Fundamental Factor Models — [📝Lecture Notebooks] [▶️Video]\nLecture 33: Portfolio Analysis — [📝Lecture Notebooks]\nLecture 34: Factor Risk Exposure — [📝Lecture Notebooks] [▶️Video]\nLecture 35: Risk-Constrained Portfolio Optimization — [📝Lecture Notebooks]\nLecture 36: Principal Component Analysis — [📝Lecture Notebooks]\nLecture 37: Long-Short Equity — [📝Lecture Notebooks]\nLecture 38: Example: Long-Short Equity Algorithm — [📝Lecture Notebooks]\nLecture 39: Factor Analysis with Alphalens — [📝Lecture Notebooks] [▶️Video]\nLecture 40: Why You Should Hedge Beta and Sector Exposures (Part I) — [📝Lecture Notebooks]\nLecture 41: Why You Should Hedge Beta and Sector Exposures (Part II) — [📝Lecture Notebooks]\nLecture 42: VaR and CVaR — [📝Lecture Notebooks]\nLecture 43: Integration, Cointegration, and Stationarity — [📝Lecture Notebooks] [Video]\nLecture 44: Introduction to Pairs Trading — [📝Lecture Notebooks] [▶️Video]\nLecture 45: Example: Basic Pairs Trading Algorithm — [📝Lecture Notebooks]\nLecture 46: Example: Pairs Trading Algorithm — [📝Lecture Notebooks]\nLecture 47: Autocorrelation and AR Models — [📝Lecture Notebooks] [▶️Video]\nLecture 48: ARCH, GARCH, and GMM — [📝Lecture Notebooks]\nLecture 49: Kalman Filters — [📝Lecture Notebooks] [▶️Video]\nLecture 50: Example: Kalman Filter Pairs Trade — [📝Lecture Notebooks]\nLecture 51: Introduction to Futures — [📝Lecture Notebooks]\nLecture 52: Futures Trading Considerations — [📝Lecture Notebooks]\nLecture 53: Mean Reversion on Futures — [📝Lecture Notebooks]\nLecture 54: Example: Pairs Trading on Futures — [📝Lecture Notebooks]\nLecture 55: Case Study: Traditional Value Factor — [📝Lecture Notebooks]\nLecture 56: Case Study: Comparing ETFs — [📝Lecture Notebooks]", "url": "https://wpnews.pro/news/quantopian-lectures-saved", "canonical_source": "https://gist.github.com/ih2502mk/50d8f7feb614c8676383431b056f4291", "published_at": "2020-10-30 02:01:24+00:00", "updated_at": "2026-05-23 04:04:17.346387+00:00", "lang": "en", "topics": ["research", "data"], "entities": ["Quantopian"], "alternates": {"html": "https://wpnews.pro/news/quantopian-lectures-saved", "markdown": "https://wpnews.pro/news/quantopian-lectures-saved.md", "text": "https://wpnews.pro/news/quantopian-lectures-saved.txt", "jsonld": "https://wpnews.pro/news/quantopian-lectures-saved.jsonld"}}