Mark Minervini

Evaluate edge by combining your win rate with average win and loss sizes to determine overall expectancy.

A framework to identify low-risk, high-reward entry points in leading stocks using screening, chart signals, and timing tools.

Emphasis on focusing trading approach to maximize returns quickly and, crucially, consistently.

Increase the number of independent trades to allow probabilities to realize expected outcomes.

Specifies preferred risk-reward targets (3:1, example 15% gain vs 5% loss).

A method to compute effective reward-to-risk by incorporating win rate (batting average) into payoff assessment.

Simple payoff example to show an asymmetric reward-to-risk on a 50/50 outcome.

Warning against trying to time perfect tops/bottoms or capture absolute peaks; emphasizes it's unnecessary and often infeasible.

Describes Reinganum's research habit and Minervini's approach to studying top-performing stocks.

Advocates reusing the favorable risk-reward bets frequently to compound returns.

Overestimating or underestimating true expectancy, leading to poor sizing or strategy choice

Missed opportunities, poor execution, and likely worse results because perfect timing is infeasible

Reduces realized upside and undermines the intended risk-reward relationship

Fix: Focus on SEPA and objective entry confirmation in leading stocks instead of following headlines.

Erodes the positive edge and can turn a profitable strategy into a losing one

Learning from top performers' patterns and behaviors to distill principles that produce outperformance.

Analyze top-performing stocks and historical leaders to identify patterns and sources of future outperformance.

Target precise, low-risk entry points rather than entering based on broad market narratives.