A trader enters a Reliance Industries long position with a target of ₹120 above entry. The stop-loss is ₹180 below entry. The trade hits the stop. The loss is ₹180 per share.
At 10 lots of 250 shares each, that's a ₹4,50,000 loss on a single trade.
For this trade to make sense mathematically, it would need to win approximately 60% of the time just to break even — because the risk-reward ratio was 1:0.67, meaning you risked more than you could gain. Over hundreds of trades with this setup, the account destruction is guaranteed, regardless of win rate.
This is the hidden danger of poor risk-reward decisions: they're invisible until you do the math, and most Indian retail traders never do the math.
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The risk-reward ratio (R:R) compares the potential loss of a trade (from entry to stop-loss) against its potential gain (from entry to target).
A 1:2 R:R means you risk ₹1 to make ₹2. A 1:0.5 R:R means you risk ₹2 to make ₹1.
Why does this matter? Because it determines the minimum win rate your strategy needs to be profitable.
| Risk-Reward | Minimum Win Rate to Break Even |
|-------------|-------------------------------|
| 1:3 | 25% |
| 1:2 | 33% |
| 1:1 | 50% |
| 1:0.5 | 67% |
| 1:0.33 | 75% |
Most retail traders in India win between 35% and 55% of their trades. If your R:R is below 1:1, a 50% win rate means you're losing money. If your R:R is 1:2, a 40% win rate means you're profitable.
Poor risk-reward decisions force you to need an unrealistically high win rate to survive. Good risk-reward decisions mean you can lose more often than you win and still make money.
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Entering after a stock has already moved 5–8% means your profit target (additional upside) is small while your stop-loss (to the point of trade invalidation) is large. The entry point is wrong, not the setup.
"I'll put my stop 50 points below entry" is not a technically valid stop. If the trade's invalidation point is 120 points below entry, a 50-point stop will get triggered by normal price noise. The result is a series of small losses that add up while the trader watches the trade move to their target after they've been stopped out.
When a trade is moving in your favour but not reaching your target, it's tempting to "lock in profits" by moving your target down. This compresses your R:R after the trade is live. If you had a 1:2 R:R at entry and you move the target down to 50% of the original, you've effectively traded a 1:2 R:R position into a 1:1 R:R position — doubling the win rate you need to be profitable.
The most common form of poor risk-reward decision is making no calculation whatsoever. The trader likes the "look" of the setup and enters. Stop and target are defined loosely, often adjusted after entry based on what the market is doing.
Options traders who hold positions overnight without adjusting their risk calculation for gap risk often find their stop-loss levels meaningless. A ₹15 stop on a ₹100 premium becomes irrelevant if the option gaps to ₹60 on open. Risk-reward calculations must account for the actual maximum expected adverse move, including gap scenarios.
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A disciplined pre-trade R:R evaluation takes about 60 seconds:
Step 1: Identify your entry price, stop-loss level, and profit target from your trade plan.
Step 2: Calculate the distance from entry to stop (your risk in points/rupees).
Step 3: Calculate the distance from entry to target (your reward in points/rupees).
Step 4: Divide reward by risk to get your R:R ratio.
Step 5: If R:R is below your minimum threshold (most professional traders use 1.5:1 as a minimum), do not take the trade.
This simple filter, applied consistently, prevents a large category of losing trades before they're ever placed.
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TradeFix AI makes R:R evaluation part of the standard trade logging workflow. When you log a trade, you enter your planned entry, stop, and target. TradeFix automatically calculates the R:R ratio and displays it before you confirm the log.
Over time, TradeFix's analytics show you:
The AI Coach reads this data and may identify patterns like: "Your Nifty CE trades have an average planned R:R of 1.8:1 but your Bank Nifty PE trades average 0.9:1 — the latter are structurally unprofitable regardless of your win rate."
This is the kind of precise, actionable insight that transforms how you approach trade selection.
For traders working to build comprehensive risk management habits beyond just R:R, [the guide to position sizing mistakes that Indian traders make](/blog/position-sizing-mistakes-india) covers the complementary skill of right-sizing positions to match your R:R decisions.
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Professional traders often use a simple rule: never take a trade with an R:R below 1.5:1.
This single rule:
Implementing this rule is simple. Following it is harder — because many trades that "feel good" have poor R:R if you actually calculate it. TradeFix AI makes the calculation automatic and the accountability consistent, turning an abstract principle into a measurable daily discipline.
For context on how R:R decisions interact with the broader pattern of trading mistakes, [why most traders lose money in the stock market](/blog/why-most-traders-lose-money-stock-market) provides the statistical backdrop for why risk management fundamentals matter so much.