Week 2 — Probability, returns, and volatility¶
Milestone¶
Implement a quant analytics module with returns, variance, volatility, and rolling metrics.
Success criteria¶
Analytics module passes tests for daily returns, log returns, and 20-day rolling volatility on real data.
Deliverables¶
- [ ] Solve Schaum's exercises on expected value, variance, and distributions.
- [ ] Implement daily/log returns.
- [ ] Implement rolling volatility.
- [ ] Create return distribution plots.
- [ ] Add tests for analytics functions.
Books¶
- Schaum's Outline of Probability and Statistics — Exercises for probability, statistics, distributions, covariance, regression.
- Quantitative Trading - Ernest P. Chan — Market intuition, systematic trading workflow, backtesting mindset.
Retrospective¶
Fill this in during the Sunday review.
What did I finish?
What is blocked?
What confused me?
Key takeaway this week: