Disliked{quote} and win rate is not as important as R:R. if you keep a R:R of 1:3 is better than having a win rate of 90% because out of a sample size of 10 trades ( win gives 1 % increase and loss gives 10% decrease ) if you win 9 trades and lose 1, u will have zero earnings at the end of the test even with a 90% win rate but if you even you win 3 out of 10 sample inputs trades where each loss is 1 and each win is 3 your loss is 1 x 7 loses = 7% decrease and your win will be 3 wins x 3 = 9% increase leaving you with a net of 2% gainIgnored
for a 1:1 R:R you need a greater than 50%wr
for a 1:2 R:R you need a greater than 33.3%wr
for a 1:3 R:R you need a greater than 25%wr
In your example with the 1:3 R:R, 3 wins and 7 losses, you're assuming a 30% win rate (which is greater than 25%).
But in a random walk scenario (coin toss), I would expect a direct proportional correlation between R:R & WR. The higher the Reward to Risk, the lower the win rate. -You're more likely to have a 25% win rate with a 1:3 R:R
You need to know your WR over a sample size of trades, and of course you need to know the average R:R, then you are able to work out your expectancy.