How Win Rate and Reward-to-Risk Shape Trading Profitability
Summary
The article explains why a strategy can make money without winning more often than a coin toss. It contrasts high-win-rate approaches, which seek frequent small gains, with high reward-to-risk approaches, which tolerate more losing trades in pursuit of larger wins. Its central point is that win probability alone does not determine profitability; the sizes of gains and losses matter too.
To illustrate, it describes simulations of 5,000 return paths under several stated win-rate and return-distribution assumptions. The examples compare a 50% win rate with similarly sized gain and loss distributions, a 55% win rate with similar distributions, and lower win rates paired with more favorable winning outcomes. The text says the latter cases can produce positive results, though the figures themselves are unavailable here. It also invokes blackjack and the idea of varying bet size with perceived advantage. These illustrations omit trading costs, changing market conditions, estimation error, and risk of ruin, so they are not evidence that any particular strategy will work.
Key ideas
- Win rate and average win-to-loss size jointly determine a strategy’s expected returns.
- A strategy with a coin-toss win rate can be profitable when its winning outcomes are larger than its losses.
- A lower win rate may be compatible with profitability when the reward-to-risk ratio is sufficiently favorable.
- The article uses simulated return paths to illustrate the effects of different win rates and outcome distributions.
- Position sizing based on perceived advantage is presented as a way to affect realized reward and risk.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.