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The 3-5-7 rule is a three-layer risk management framework for traders: never risk more than 3% of your capital on a single trade, never let combined risk across all open positions exceed 5% of capital, and size or target winning trades so they outweigh losing trades by roughly 7%. Together, the three layers cap how much damage any one trade, any one day, and any one losing streak can do — without requiring a high win rate to stay profitable.
Each number in 3-5-7 does a different job. They aren't three ways of saying the same thing — they stack, in order, to control risk at three separate levels: the single trade, the portfolio, and the strategy's long-run math.
| Layer | Rule | What it protects against |
|---|---|---|
| 1. Per-trade risk (3%) | Position size is set so the stop-loss never costs more than 3% of total trading capital, no matter how good the setup looks. | One bad trade wiping out a large chunk of the account. |
| 2. Total exposure (5%) | Add up the risk on every open position at once — it must stay under 5% of capital, which usually limits you to one full-sized trade or two smaller ones. | Several trades that move against you at the same time on a volatile day. |
| 3. Expectancy edge (7%) | Trades are only taken when the potential reward is meaningfully larger than the risk — commonly framed as winners producing about 7% more than losers give back. | A strategy that "works" on individual setups but is flat or negative over a large sample of trades. |
Most beginner traders only apply one rule: a fixed percentage risked per trade. That helps, but it leaves two gaps that the 3-5-7 rule closes.
The first gap is correlation risk. Even if every individual trade risks a safe 2-3%, taking four trades on the same day in the same direction — say, four bullish option-buying positions on NIFTY, BANKNIFTY, and two related large-caps — can put 10-12% of capital at risk simultaneously if the broader market reverses. The 5% exposure cap forces a trader to either size down or skip trades once that ceiling is reached, regardless of how good each individual setup looks in isolation.
The second gap is expectancy. A trader can follow perfect position sizing and still lose money over time if the average loss is the same size as the average win, because transaction costs, slippage, and a sub-50% win rate erode the account slowly. The 7% layer addresses this directly: it ties position entry to the reward-to-risk ratio, not just the stop-loss, so trades are only taken when the payoff justifies the risk.
Numbers make the rule concrete faster than percentages alone. Here is how a trader with ₹5,00,000 in intraday trading capital would apply each layer.
In practice this means a full-sized 3% trade leaves room for one smaller, second position — not two more full-sized trades stacked on top.
The account is net profitable even though only half the trades won — because every winner was sized to outweigh every loser by a comfortable margin, not just barely cover it.
Note: sources describe the "7" slightly differently — some frame it purely as a profit target, others as the expectancy gap between average winners and average losers. The example above uses the expectancy framing since it best explains why the rule protects a trader at a 50% win rate.
The framework maps cleanly onto NIFTY, BANKNIFTY, and stock intraday trading, and it pairs naturally with CPR-based entries:
| Rule | What it covers | What it misses |
|---|---|---|
| 2% Rule | Caps risk on a single trade at 2% of capital. | No portfolio-level exposure cap, no explicit link to reward-to-risk. |
| 3-5-7 Rule | Per-trade risk, total open exposure, and an expectancy target — three layers stacked together. | Still needs a real technical stop-loss method (like CPR trap zones) underneath it; the rule only governs sizing, not entries. |
| Kelly Criterion | Mathematically optimal position size based on win rate and reward-to-risk. | Requires an accurate, stable win-rate estimate — most traders don't have enough sample size to trust it, and full Kelly is usually too aggressive in practice. |
It's a risk management framework that caps risk on a single trade at 3% of capital, limits total exposure across all open positions to 5%, and aims for winning trades to outperform losing trades by roughly 7%, so the strategy stays profitable without needing a high win rate.
No more than 3% of total trading capital. On ₹5,00,000 that's a maximum stop-loss risk of ₹15,000 on any single position.
Yes, but combined risk across every open position must stay under 5% of capital — typically one full-sized 3% trade plus one smaller trade, rather than several full-sized positions stacked together.
It's the expectancy layer — sizing or targeting winning trades so they generate meaningfully more profit than losing trades give up, commonly framed as roughly 7% more, keeping the strategy net profitable even at a 50% win rate.
No. The 2% rule only covers per-trade risk. The 3-5-7 rule adds a portfolio-level exposure cap and an explicit expectancy target tied to reward-to-risk.
Yes. The 3% cap sets your maximum stop-loss size on NIFTY/BANKNIFTY trades, the 5% cap limits how many positions run together, and the 7% layer is what CPR-based reward-to-risk targeting is designed to satisfy.
Trading Direction's CPR strategy courses pair trap-zone technical stops with disciplined position sizing for NIFTY, BANKNIFTY, and stock intraday trading.
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