Risk Management Guide — The Most Important Skill
Most retail traders blow up not because they're bad at picking trades — but because they're bad at managing risk. This guide covers the rules and math that separate traders who survive their first year from traders who don't.
The 1% rule (and why it exists)
Risk no more than 1% of your account on any single trade. With a $25k account, that's $250 max loss per trade. Position size is calculated to make that the actual realized loss if stop is hit.
Why 1%? The math of drawdowns. At 1% per-trade risk, a string of 10 consecutive losses (which happens to everyone) costs ~10% of account. Recoverable. At 5% per-trade risk, the same 10-loss string costs ~40% — devastating.
Use our position size calculator for every trade. Eyeballing share counts is how accounts die.
Stop-losses: where and why
Set the stop BEFORE entering the trade, based on the chart structure (below support for longs, above resistance for shorts). NOT based on 'how much can I afford to lose.'
Volatility-adjusted stops via ATR: stop = 2× ATR below entry for swing trades, 1× ATR for day trades. Adjusts for the asset's typical noise level. Use our ATR calculator.
Move stops to break-even after the trade is +1R in profit. This converts winning trades to risk-free positions. Don't move stops further once break-even is reached.
Maximum drawdown rules
Daily max loss: stop trading for the day after losing 2-3% of account. Prevents the catastrophic days that destroy accounts.
Weekly max loss: pause for the week after losing 5% of account. Forces a review of what's not working before damage compounds.
Monthly max drawdown: at 10% drawdown from monthly start, scale back position size by 50%. At 15%, stop trading and review the strategy. Don't keep deploying full size into a strategy that's not working.
Position correlation matters
If you're long 5 tech stocks, you're really long 1 position (tech sector). Correlated positions amplify both wins and losses.
Cap exposure per sector at 20-25% of account. Spread risk across uncorrelated assets (tech, financials, energy, healthcare, etc.) so a sector-wide move doesn't crater the account.
Long stocks + long bonds + long commodities is more diversified than 5 stocks in the same sector. Risk isn't position count; it's exposure correlation.
Risk-of-ruin math
Risk of ruin = probability of losing your entire account over time. Function of position size, win rate, and R-multiple.
At 2% per-trade risk, 55% win rate, 1:1 R: risk of ruin ≈ 0.5%. Safe. At 5% per-trade risk, same parameters: risk of ruin ≈ 15%. Survival is uncertain over enough trades.
If your strategy's win rate is below 50% with R:1, your effective risk of ruin is high regardless of position size. Improve the strategy before scaling up capital.
Common risk management failures
Moving stops further away because 'the trade hasn't worked yet.' This is the #1 way retail traders blow up. A moved stop is a removed stop.
Averaging down on losers. Doubling a losing position adds the same amount of risk as the original — but psychology pushes you to skip the position sizing math. Result: catastrophic single positions.
No daily loss limit. Trading after large losses is the most expensive activity in finance. The next setup that 'looks great' after a 3% loss is almost certainly a trap.
Putting it into practice
Theory without execution is wasted. To actually apply what's above, you need a scanner that publishes its track record (so you can test whether the patterns you're learning produce real edge):