Risk Reward Ratio

Risk-Reward Ratio

If the math doesn't work, don't take the trade. R:R is the simplest filter that separates good setups from bad ones.

Prerequisites

No dependencies required. Pure math — provide entry, stop, and target prices. No data tools needed.

Calculation

Risk = Entry price - Stop-loss price
Reward = Target price - Entry price
R:R = Reward ÷ Risk

Example:
  Entry: Rs.1,800
  Stop: Rs.1,700 → Risk = Rs.100 per share
  Target: Rs.2,100 → Reward = Rs.300 per share
  R:R = 300 ÷ 100 = 3:1

In rupee terms:

Total risk = Risk per share × Number of shares
Total reward = Reward per share × Number of shares

Minimum R:R by Win Rate

Your win rate determines the minimum R:R needed to be profitable over time.

If you don't know your win rate, assume 40-50% and require at least 2:1 R:R.

Trade Filtering Rules

Multi-Target R:R

For trades with multiple profit targets (scaling out):

Target 1 (50% of position): Rs.1,900 → R:R = 1:1
Target 2 (30% of position): Rs.2,000 → R:R = 2:1
Target 3 (20% of position): Rs.2,200 → R:R = 4:1

Weighted R:R = (0.5 × 1) + (0.3 × 2) + (0.2 × 4) = 1.9:1

This is useful when you plan to scale out at different levels.

Expected Value

For a more complete picture, calculate expected value per trade:

EV = (Win rate × Average win) - (Loss rate × Average loss)

Example:
  Win rate: 50%, Avg win: Rs.10,000, Avg loss: Rs.5,000
  EV = (0.5 × 10,000) - (0.5 × 5,000) = Rs.2,500 per trade

Positive EV = edge. Negative EV = change your approach.

R:R Checklist

Before entering any trade:

• [ ] Have I identified a specific target (not just "it'll go up")?
• [ ] Is the stop-loss at a technically meaningful level?
• [ ] Is R:R at least 1.5:1 (ideally 2:1+)?
• [ ] Does the position size keep risk within 1-2% of capital?
• [ ] If this trade hits stop, will I still be fine psychologically and financially?