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Risk-Reward Ratio

#risk-reward#win-rate#expectancy

Risk-Reward Ratio

In one line: If your wins are bigger than your losses, you can be wrong more often than right and still make money.

🎯 What you'll learn

  • What the risk-reward ratio (RR) means.
  • Why RR matters more than being "right" all the time.
  • How you can win only 40% of trades and still profit.
  • What expectancy is, in plain words.
  • The win-rate you need to break even at different RR.

πŸ“˜ Key concepts

What is the risk-reward ratio (RR)?

RR compares two things: what you risk versus what you aim to gain.

  • Risk = how much money you are ready to lose if the trade goes wrong.
  • Reward = how much money you aim to make if the trade goes right.
  • Write it as risk : reward.
  • Example: you risk 10 to try to make 20. That is 1:2.
  • Think of a shopkeeper. He spends 10 rupees on a mango. He hopes to sell it for 30. Small cost, bigger gain. Good deal.
  • Rule of thumb: prefer trades where reward is at least twice the risk (1:2 or better).

Why being "right" is not enough

Many beginners think they must win almost every trade. That is not true.

  • A high win rate ("win rate" = how often your trades make money) feels nice.
  • But if your losses are big and your wins are tiny, you still lose.
  • With good RR, a few big wins pay for many small losses.
  • Let winners run bigger than losers. This is the whole game.

Expectancy β€” the profit engine

Expectancy tells you if your trading plan makes money over many trades.

  • In plain words: (win% Γ— average win) βˆ’ (loss% Γ— average loss).
  • Positive expectancy = the plan makes money over time.
  • Negative expectancy = the plan loses money over time, no matter how lucky you feel.
  • One trade is like one ball in cricket. Anything can happen.
  • Expectancy is your batting average over the whole season. That is what counts.

πŸ” Example

You take 10 trades. You risk β‚Ή1,000 on each. Your RR is 1:2, so each win makes β‚Ή2,000.

You win only 4 trades and lose 6. Win rate = 40%.

Wins:   4 Γ— +2,000 = +8,000
Losses: 6 Γ— -1,000 = -6,000
-------------------------------
Net result:          +2,000
  • You were wrong more often than right (only 40% wins).
  • You still ended with +β‚Ή2,000.
  • The reason: each win was double the size of each loss.
  • This is why quality of trades beats quantity of trades.

⚠️ Common mistakes

  • Taking trades with poor RR (like 2:1 β€” risking more than you aim to make).
  • Cutting winners too early, so wins stay small.
  • Holding losers too long, so losses grow big.
  • Chasing a high win rate while ignoring the size of each win and loss.
  • Taking many trades for excitement instead of a few good ones.

βœ… Key takeaways

  • RR compares what you risk to what you aim to gain (risk : reward).
  • Aim for at least 1:2 on most trades.
  • With 1:2, a 40% win rate can still make money.
  • Positive expectancy means the plan profits over time.
  • Quality over quantity β€” skip poor-RR setups.

πŸ“ Quick check

  1. Q: You risk β‚Ή500 to aim for β‚Ή1,500. What is your RR? A: 1:3 (reward is three times the risk).
  2. Q: At 1:2 RR, roughly what win rate do you need just to break even? A: About 34% β€” so winning more than that starts to make money.
  3. Q: Why can a 40% win rate still be profitable? A: Because each win is bigger than each loss, so a few wins cover many small losses.

Break-even win rate by RR (rough guide):

RRWin rate to break even
1:1~50%
1:2~34%
1:3~25%

Better RR means you need fewer wins just to stay even. Everything above that line is profit.

πŸ“– New words

  • Risk-reward ratio (RR) β€” a comparison of how much you risk to how much you aim to gain, written as risk : reward.
  • Risk β€” the money you are willing to lose if a trade goes wrong.
  • Reward β€” the money you aim to make if a trade goes right.
  • Win rate β€” how often your trades make money, shown as a percentage.
  • Expectancy β€” the average money a trading plan makes per trade over many trades; positive means it profits over time.
  • Break-even β€” the point where total wins equal total losses, so you neither gain nor lose.

Educational content only β€” not financial advice. Trading involves the risk of losing money.