Risk-to-reward describes payoff shape, not quality by itself
Suppose a trade risks PHP 1,000 to pursue a PHP 2,000 profit target. The planned reward is twice the planned risk. In R-multiple language, the loss is -1R and the target is +2R.
That ratio tells you something useful: the trade does not need to win every time to break even before costs. But it tells you nothing about how often the target is realistically reached.
Connect the payoff to the break-even win rate
For a simplified strategy where every loss is exactly -1R and every win is exactly +2R, let p be the win rate.
Break-even occurs when:
p × 2R + (1 - p) × (-1R) = 0
Solving gives p = 1/3, or about 33.3% before fees and slippage.
A strategy winning 40% of the time with an average +2R win and -1R loss has a positive simplified expectancy:
0.40 × 2R - 0.60 × 1R = +0.20R per trade
But if the actual average win is only +1.2R because targets are cut early while losses remain -1R, the same 40% win rate becomes:
0.40 × 1.2R - 0.60 × 1R = -0.12R per trade
The advertised 1:2 setup did not describe the realised strategy.
A high ratio can hide an unrealistic target
Imagine a trader places a stop 2% below entry and a target 10% above entry. The planned reward-to-risk is 5:1. That sounds impressive, but if the 10% target is rarely reached before the market reverses, the ratio may be more marketing than evidence.
A useful ratio needs context: market structure, volatility, liquidity, time horizon and historical behaviour of the actual setup. A target chosen solely to make the ratio look attractive is not analysis.
Costs change the break-even point
Fees, spread, slippage and funding reduce realised wins and can increase realised losses. A strategy that appears marginally positive before costs may become negative after them. This matters especially for frequent trading or thin markets.
The correct habit is therefore to track realised R, not only planned R.
No-money practice
Create three fictional strategies:
- 1R reward / 1R risk;
- 2R reward / 1R risk;
- 0.5R reward / 1R risk.
Calculate the simplified break-even win rate for each before costs. Then reduce the average realised reward by 0.1R to represent execution costs and recalculate the required win rate.
The lesson is not that one ratio is superior. It is that payoff and probability must be read together.
*Cryptocurrency and virtual asset transactions are highly volatile and irreversible, may result in significant losses, and do not guarantee returns; customers should trade only after understanding the risks involved.
