Expectancy-Based Trading
Expectancy-based trading is a systematic approach where traders calculate the mathematical average outcome of their trades over time. It relies on the formula of probability of winning multiplied by the average win size, minus the probability of losing multiplied by the average loss size.
This methodology shifts the focus from predicting individual trade outcomes to managing a portfolio based on statistical edge. By consistently applying this formula, traders can determine if a strategy is viable in the long run.
In cryptocurrency and derivatives, this helps mitigate the emotional impact of individual losses. It requires disciplined record-keeping of trade results to refine the inputs of the expectancy equation.
A positive expectancy indicates that, over a large sample size, the strategy will be profitable. Conversely, a negative expectancy signals that the strategy will lose money regardless of individual winning trades.
This framework is essential for professional risk management and position sizing. It allows traders to detach their ego from market performance and focus on execution consistency.
Ultimately, expectancy-based trading transforms trading into a game of probabilities rather than guesswork.