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Apply ML to finance. Alpha generation, NLP for sentiment, and alternative data.
Estimated completion time: 21 lessons • Self-paced learning • Lifetime access
ML-augmented decisions.
Risk modeling. VaR, CVaR, and Monte Carlo simulation for risk.
Quant research. Strategy backtesting, alpha research, and quantitative signal generation.
Optimize portfolios quantitatively. Mean-variance, Black-Litterman, and risk parity.