Quantopian Lectures Saved

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.

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