The Quest for Edge Framework

The Quest for Edge framework treats trading as a controlled decision process with five connected parts: hypothesis, evidence, risk, execution, and review. An attractive entry is not enough. The complete process must have credible positive expectancy after costs, survive adverse sequences, and remain executable under real account constraints.

The five-part framework

1. Hypothesis

State what creates the possible advantage, where it should apply, and what would invalidate it. A hypothesis is more useful than an indicator combination because it can be tested and challenged.

2. Evidence

Measure net expectancy, payoff distribution, drawdown, losing streaks, turnover, and live execution. Separate development data from evaluation data and test less favorable assumptions. Evidence supports an estimate; it never makes the edge permanent.

3. Risk

Define loss capacity at multiple levels:

• per position;
• per trade idea;
• per symbol or factor;
• across the account;
• per day or week;
• through the maximum acceptable drawdown.

Use a reserve for slippage, gaps, fees, and control failure.

4. Execution

Specify how sizes are calculated, stops are handled, limits are enforced, and exceptions are recorded. Automation can improve consistency for objective rules, but it introduces configuration and technology risk.

5. Review

Review strategy outcomes and control adherence separately. Decide in advance how much evidence is required before changing size, pausing the strategy, or replacing a rule.

Prop trading boundary

A prop firm’s daily, maximum, or trailing loss rules form an external boundary around the framework. A positive-expectancy process is only usable if its position sizing, intraday path, and aggregate exposure fit inside those mechanics.