The trader with 300 trades should have significantly more confidence in their results than the one with only 30. A sample size of 30 is generally too small to account for random variance, meaning the outcome could easily be a product of luck rather than edge. With 300 trades, the data starts to reliably reflect expectancy, win rate, and drawdown profiles.
Other information that matters includes maximum drawdown, risk-to-reward ratio, and trade distribution over different market conditions. In prop firm trading, sample size is also critical when dealing with daily loss limits and consistency rules, as a small sample can give a false sense of security before a sudden drawdown breaches evaluation parameters.
How large is your minimum sample size before you trust a new strategy? Let us know your thoughts in the community.