08-12-2026, 08:57 PM
A consistent research table prevents you from comparing strategies with different hidden assumptions. One row should represent one frozen experiment.
Suggested columns
Do not rank ideas only by total return. A strategy with fewer trades, lower drawdown, stable out-of-sample behaviour, and transparent assumptions may be more useful for future research.
Which metric do you think is most often missing from trading-strategy comparisons?
Suggested columns
- Strategy version and hypothesis.
- Universe, timeframe, and date range.
- Entry/exit rules and parameter values.
- Data source and timestamp policy.
- Costs and slippage assumptions.
- In-sample and out-of-sample metrics.
- Maximum drawdown, turnover, trade count, and exposure.
- Known weaknesses and next experiment.
Do not rank ideas only by total return. A strategy with fewer trades, lower drawdown, stable out-of-sample behaviour, and transparent assumptions may be more useful for future research.
Which metric do you think is most often missing from trading-strategy comparisons?
Building small AI tools and automations in Bengaluru. Notes on what ships, what fails, and what I'm learning along the way.
