Topics in this course
Turn an investment or trading idea into explicit rules, realistic tests, implementation assumptions, risk limits, and a review process. The course emphasizes evidence and failure modes over backtest appearance.
Evaluate strategy evidence without overfitting
Build and test an investment or trading strategy using clear rules, clean data, realistic assumptions, out-of-sample checks, transaction costs, robustness tests, and documented limitations.
- Build a systematic process
- Fundamental and technical analysis answer different questions
- Trend methods: follow evidence, not a forecast
- A technical-analysis toolkit starts with price, volume, and timeframe
- + 8 more sections
Derivatives: map the payoff, leverage, and path risk
Understand options and other derivative exposures through contract terms, payoff diagrams, leverage, time, volatility, liquidity, assignment or settlement, and loss scenarios.
- Digital assets
- Alternative investments
- Margin risk
Strategy risk and review: know when the process has changed
Monitor strategy risk through exposure limits, drawdowns, execution quality, model drift, market-regime changes, capacity, and a written process for pausing, changing, or retiring the strategy.
- Risk controls belong inside the strategy
- Use the same review sequence every time
- A strategy becomes improvable when every decision leaves a record
Zero-DTE options: same-day expiration, gamma, and assignment risk
Same-day expiration compresses time and can amplify option sensitivity, execution risk, and assignment consequences.
- Expiration-day mechanics
- Gamma and theta
- Execution & settlement
Private markets and feeder funds: map access, liquidity, fees, and valuation
Follow the master-feeder structure and evaluate liquidity, valuation, fee layers, cash flows, and offering documents.
- Master-feeder structure
- Liquidity & valuation
- Layered fees
Read the guides in order for a complete path.
All 10 guides in this category appear below in the recommended sequence; any guide can also be opened directly from navigation or search.
Backtests and hypothetical results need a separate evidence standard
Check for survivorship bias, look-ahead bias, overfitting, data revisions, transaction costs, liquidity, parameter sensitivity, and the gap between simulated and live execution. Review research and hypothetical-result limitations ›
