Understanding Risk and Reward: The Math Behind Every Trade

TL;DR:Being right about direction more often than you’re wrong doesn’t guarantee profit, and being wrong more often doesn’t guarantee loss; the risk-reward ratio on each trade decides which one you end up as. A realistic, evidence-based target paired with a disciplined stop matters more than chasing a high win rate on its own.

It’s possible to be right on the direction of a trade more often than you’re wrong, and still lose money over time. It’s also possible to be wrong more often than you’re right, and still come out ahead. The variable that decides which of those you end up as is risk-reward, and it matters at least as much as being right.

What Risk-Reward Ratio Actually Means

Risk-reward ratio compares what you’re putting on the line against what you’re aiming to make, usually expressed in “R” (your initial risk). If you risk ₹1,000 (your distance from entry to stop-loss) to target a ₹2,000 gain, that’s a 1:2 risk-reward trade: you’re risking 1R to make 2R. The ratio doesn’t tell you whether the trade will win, only what happens to your account if it does versus if it doesn’t.

Win Rate and Risk-Reward Are a Package Deal

The two numbers only mean something together. As a purely illustrative example: at a 1:2 risk-reward ratio, you only need to win roughly one out of every three trades to break even, before costs, because each win recovers two losses’ worth of risk. At 1:1, you need to win more than half your trades just to stay flat. Neither number is a target to aim for on its own; the combination is what determines whether a strategy is mathematically capable of being profitable at all, regardless of how confident any single trade feels.

Position Sizing Is a Risk Decision, Not a Conviction Decision

How much you risk on a trade should come from a rule (a fixed percentage of capital, decided in advance), not from how sure you feel about the idea. “This one feels obvious” is exactly the thought that precedes most oversized losses, because feeling certain has never been the same thing as being correct.

Reward Has to Be Realistic, Not Hopeful

A target should come from where the setup actually suggests price could reasonably go (a prior level, a measured move, a resistance zone), not from working backward from “what would make this risk worth taking.” A trade with a realistic 1:1.2 reward is more honest, and often more tradeable, than one stretched to look like 1:4 because the math needed the number to be bigger.

Why “High Win Rate” Strategies Can Still Struggle

A strategy built around a very high win rate often works by taking many small wins and, occasionally, one large loss that gives most of it back; a scalping approach with a wide stop relative to the target is a common shape for this. It feels good day to day because the account is green far more often than it’s red, right up until the rare large loss lands, which is exactly why the risk side of the ratio deserves as much attention as the win rate that gets talked about far more often.

None of this means a high win-rate strategy is automatically flawed, only that win rate on its own tells you nothing about how the strategy behaves in its worst moments. That behaviour, not the everyday average, is usually what actually determines whether an account survives long enough for the strategy’s edge to play out.

A favorable risk-reward ratio doesn’t guarantee a profitable trade, or even a profitable strategy. What it does is set the terms under which your win rate actually has a chance to matter, and a poor ratio means skill alone has to do all the work, trade after trade, with no help from the math.