Cheat sheet
Risk Management Cheat Sheet: 6 Formulas Every Trader Should Know
This risk management cheat sheet puts six formulas on one page: how many shares to buy, how to weigh reward against risk, how often a plan has to reach its target to break even, how big a gain it takes to recover a drawdown, where an ATR stop goes and how to read expectancy. Each comes with a worked example in round, hypothetical numbers. The risk management lesson explains the thinking behind them.
These are arithmetic, not forecasts: they show what follows from your numbers, not how often any setup works, and commissions and slippage shift every result a little. Use the Print or save as PDF button to keep a copy next to your trading plan.
The cheat sheet as text
| Rule | Formula | Example |
|---|---|---|
| Position size | Shares = (account × risk %) ÷ (entry − stop) | $10,000 × 1% = $100 at risk; entry $50, stop $48 → $100 ÷ $2 = 50 shares |
| Risk/reward | R = (target − entry) ÷ (entry − stop) | Entry $50, stop $48, target $56 → $6 ÷ $2 = 3: risk 1 to make 3 (1:3) |
| Breakeven win rate | Share of trades that must hit the target = 1 ÷ (1 + R) | 1:1 → 50%, 1:2 → 33.3%, 1:3 → 25% of trades, before costs |
| Drawdown recovery | Gain needed = loss ÷ (1 − loss) | −10% → +11.1%, −20% → +25%, −30% → +42.9%, −50% → +100% |
| ATR stop | Long: stop = entry − k × ATR (short: entry + k × ATR) | Entry $50, ATR $1.20, k = 2 → $50 − $2.40 = $47.60 |
| Expectancy | (share of winners × average win) − (share of losers × average loss) | 40% × $300 − 60% × $100 = $120 − $60 = +$60 per trade, on average over many trades |
How to use this cheat sheet
- Decide your risk per trade before anything else, often 0.5% to 1% of the account, and write it into your trading plan.
- Place the stop where the trade idea is proven wrong, or at a multiple of ATR, then size the position from that distance, never the other way round. The position size calculator does the math.
- Check risk/reward before you enter. If a realistic target in front of the next level falls short of your minimum, skip the trade instead of moving the stop or the target.
- Keep a journal in R and work out your expectancy over many trades; a few dozen trades is a small sample, and past results do not predict future ones.
- Keep drawdowns shallow with a daily loss limit: the deeper the loss, the bigger the gain needed to recover. Trading psychology covers the rules that help after a losing streak.
Questions
How much should I risk per trade?
There is no single right number. Many traders risk 0.5% to 1% of the account per trade so a losing streak stays survivable: ten losses in a row at 1% each leave about 90.4% of the account, while ten at 5% each leave about 59.9%.
What is a good risk/reward ratio?
There is no universal number. Many traders look for at least 1:1.5 to 1:2, but what matters is how often your setup really reaches its target: a 1:2 plan breaks even when one trade in three does, before costs. See the risk-reward ratio lesson.
Why does a 50% loss need a 100% gain to recover?
Because the gain is measured on a smaller account. $10,000 down 50% is $5,000, and getting back to $10,000 takes another $5,000, which is 100% of $5,000. The general formula is loss ÷ (1 − loss).
What is expectancy in trading?
The average result per trade over many trades: the share of winners times the average win, minus the share of losers times the average loss. A positive number means the method made money on that sample; it says nothing certain about the next trade.
UpTickFlow is our product. These guides are education, not financial advice. Trading involves a substantial risk of loss.