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Technical AnalysisR:R RatioRisk Reward

Risk-Reward Ratio (Trading)

The risk-reward ratio in trading is the relationship between the maximum planned loss on a trade (risk) and the potential gain targeted (reward), expressed as a ratio, used to evaluate whether a trade setup offers sufficient upside relative to the downside being accepted.

Formula
Break-even Win Rate = 1 / (1 + Reward Multiple)

The risk-reward ratio is typically expressed as 1:R, where 1 represents the amount risked and R represents the multiple of that amount targeted as profit. A 1:2 risk-reward means the trader risks Rs 1,000 to potentially earn Rs 2,000. A 1:3 ratio risks Rs 1,000 to target Rs 3,000.

The mathematical interaction between risk-reward ratio and win rate determines whether a strategy is profitable over a series of trades. The break-even win rate formula is: Break-even Win Rate = 1 / (1 + R). For a 1:2 risk-reward, the break-even win rate is 1/(1+2) = 33.3%. This means a system can be profitable even if it wins only one in three trades, provided the losses are kept to 1x and the wins reach 2x consistently. For a 1:1 ratio, the break-even win rate is 50%.

This relationship had profound practical implications that many new Indian traders did not appreciate. A strategy with a 60% win rate and a 1:0.5 risk-reward (risking 2 to make 1) was actually a losing strategy in the long run: 60 wins of 0.5 = 30 minus 40 losses of 1 = 40, net loss of 10 per 100 trades. Conversely, a strategy with only a 35% win rate and a 1:3 risk-reward was profitable: 35 wins of 3 = 105 minus 65 losses of 1 = 65, net gain of 40 per 100 trades.

Defining the stop-loss before entry was the foundational discipline that made risk-reward analysis possible. If a trader entered a Nifty 50 futures position at 22,000 with a stop-loss at 21,850 (150 points risk) and a target at 22,450 (450 points reward), the risk-reward was 1:3. Changing the stop-loss post-entry to avoid being stopped out invalidated the pre-defined risk-reward calculation and introduced the emotional loop that led to large unplanned losses.

In Indian intraday and swing trading contexts, practitioners frequently observed the tendency to move stops further away when trades moved against them while taking profits early when trades moved in their favour — the exact opposite of the disciplined framework required for asymmetric risk-reward to work. Journaling and reviewing completed trades against intended risk-reward parameters was the primary tool for identifying this behavioural gap.

Educational only. This glossary entry is for informational purposes and does not constitute investment, tax, or legal guidance. Please consult a SEBI-registered adviser before making any investment decision.