strategy-research

Formalize trading ideas into documented strategies by defining explicit entry and exit criteria, risk rules, and position-sizing logic. This Skill structures your hypothesis into a testable plan with clearly specified conditions and edge assumptions, reducing ambiguity and enabling backtesting across stocks, forex, crypto, and commodities.

A complete strategy document specifies entry triggers, exit targets, stop-loss rules, position sizing, timeframe selection, and the market edge hypothesis. This Skill produces comprehensive documentation that satisfies functional and technical requirements for reproducible, rule-based trading applicable across assets and timeframes from intraday to multi-month.

Yes. This Skill guides edge hypothesis formation and first-principles questioning to identify potential market inefficiencies, then documents them in a structured format suitable for backtesting and peer review. You formalize your edge assumptions explicitly before testing.

Strategy research applies across all major asset classes—stocks, forex, crypto, and commodities—with flexibility for any timeframe from intraday to multi-month holdings. The framework adapts entry, exit, and sizing rules to your specific market and time horizon.

An idea is a vague observation; a documented strategy is rule-based and reproducible. This Skill bridges that gap by formalizing intuitions into explicit conditions, risk constraints, and edge hypotheses that remove interpretation and enable consistent execution and backtesting.

Strategy research reduces ambiguity by requiring you to specify measurable entry conditions, exit targets, risk thresholds, and sizing rules in writing. This forces precision and eliminates discretionary judgment, making your strategy testable and communicable to others.