Is a high R:R ratio profitable or a statistical trap?

The phrase "1:3 R:R koydum" may sound professional. However, unless the real success rate of the system, psychological sustainability, and expectancy value lie behind this ratio, it remains nothing more than a goal.

From a technical perspective: a strategy that works with a 1:3 risk-to-reward ratio can theoretically break even with just a 25% win rate. However, in practice, most traders do not have the patience or discipline to maintain this ratio. For example, if your confidence in your system is shaken after 5 consecutive stops, this ratio may become ineffective for you.

Let me give you an example:
%30 win rate, 1:3 R:R:
E = (0.3 × 3) - (0.7 × 1) = +0.2 → The system is positive.
But when the success rate drops to 20%:
E = (0.2 × 3) - (0.8 × 1) = -0.2 → Expectancy passes negatively.

So no matter how high the ratio is, what matters is how much the system can achieve this goal and how consistently you can sustain this process.

The R:R ratio is an important tool in trade planning. However, what makes it effective is not just its formulation, but its applicability and sustainability.

Professionals who solve this systematically apply dynamic position management instead of a fixed R:R. As the market structure changes, TP/SL ratios are adjusted. First, the risk limit is determined, then the profit target. The so-called phenomena think of the screenshot first, and then the market. 🤝