Win rate gets all the attention, but risk to reward is what actually decides if a strategy makes money over time. I used to focus way too much on being right and not nearly enough on how much I made when I was right versus how much I lost when I was wrong. Once I flipped that focus, my results actually started to make sense.
Why risk to reward matters more than win rate alone
A strategy that wins 40 percent of the time can still be extremely profitable if the winners are big enough compared to the losers. A strategy that wins 70 percent of the time can still lose money if the losses are large and the wins are small. Risk to reward is the piece that turns a win rate into an actual dollar outcome.
The math behind why this works
If I risk 1 dollar to make 2 dollars, I only need to be right a little more than 33 percent of the time to break even
If I risk 1 dollar to make 3 dollars, my breakeven win rate drops to 25 percent
This means I do not need to be right most of the time, I just need my winners to outweigh my losers by enough
Understanding this math changed how much pressure I put on myself to be right on every single trade
My personal minimum risk to reward
I generally will not take a trade unless it offers at least 2 to 1 potential
3 to 1 or better is where I get genuinely excited about a setup
Anything below 1.5 to 1 has to have an unusually high probability behind it for me to even consider it
Having this minimum filters out a lot of mediocre setups before I ever risk capital on them
How I actually calculate it before entering
I mark my stop loss level first, based on structure, not on a random dollar amount
I mark a realistic profit target based on the next resistance level or measured move from the pattern
I compare the distance from entry to stop against the distance from entry to target
If the ratio does not meet my minimum, I either wait for a better entry price or skip the trade entirely
Why chasing high win rate alone can be a trap
Traders who only care about win rate often cut winners short just to lock in being right
This creates a habit of small wins and occasional large losses, which destroys the math over time
I would rather have a lower win rate with winners that are allowed to run than a high win rate built on tiny profits
How position sizing ties into this
Even a great risk to reward ratio does not help if position size is inconsistent
I size every trade based on the dollar amount I am willing to risk, then let the reward follow from there
This keeps my risk to reward ratio meaningful instead of accidentally sizing my way into unequal outcomes
Why I track this separately from win rate in my journal
Looking at win rate alone can be misleading about whether a strategy is actually working
I track average risk to reward across all my trades to see if my real results match what I plan for going in
If my actual risk to reward is consistently lower than what I aim for, that tells me I am probably cutting winners too early or letting losers run too long
Why this is the real edge
Anyone can find setups that work sometimes. The traders who stay consistently profitable are usually the ones who respect risk to reward on every single trade, not just the ones that feel obviously good. Setting a minimum ratio before I even enter has done more for my long term results than any single indicator or pattern ever has.