Position Sizing Case Study: How 1% Risk Survives 10 Consecutive Losses
TL;DR:
- This case study demonstrates the mathematical power of the 1% risk rule through a real scenario
- A trader who risked 1% per trade survived 10 consecutive losses with only a 10% drawdown
- Compare this to a trader who risked 5% per trade — they lost 40% and couldn't recover
- Position sizing is the difference between a career and a casino
The Scenario: 10 Consecutive Losses
Losing streaks happen to EVERY trader. Even with a 60% win rate, a 10-loss streak is statistically inevitable. This case study shows what happens when it hits.
The Math: 1% vs 5% Risk
Trader A: 1% Risk Per Trade
| Trade # | Account | Risk | Loss | Remaining |
|---------|---------|------|------|-----------|
| Start | $10,000 | $100 | — | $10,000 |
| Loss 1 | $9,900 | $99 | -$99 | $9,801 |
| Loss 2 | $9,801 | $98 | -$98 | $9,703 |
| Loss 3 | $9,703 | $97 | -$97 | $9,606 |
| Loss 4 | $9,606 | $96 | -$96 | $9,510 |
| Loss 5 | $9,510 | $95 | -$95 | $9,415 |
| Loss 6 | $9,415 | $94 | -$94 | $9,321 |
| Loss 7 | $9,321 | $93 | -$93 | $9,228 |
| Loss 8 | $9,228 | $92 | -$92 | $9,136 |
| Loss 9 | $9,136 | $91 | -$91 | $9,045 |
| Loss 10 | $9,045 | $90 | -$90 | $8,955 |
Total drawdown: $1,045 = 10.4%
Remaining: $8,955 (89.6% of original)
Trader B: 5% Risk Per Trade
| Trade # | Account | Risk | Loss | Remaining |
|---------|---------|------|------|-----------|
| Start | $10,000 | $500 | — | $10,000 |
| Loss 1 | $9,500 | $475 | -$475 | $9,025 |
| Loss 2 | $9,025 | $451 | -$451 | $8,574 |
| Loss 3 | $8,574 | $429 | -$429 | $8,145 |
| Loss 4 | $8,145 | $407 | -$407 | $7,738 |
| Loss 5 | $7,738 | $387 | -$387 | $7,351 |
| Loss 6 | $7,351 | $368 | -$368 | $6,983 |
| Loss 7 | $6,983 | $349 | -$349 | $6,634 |
| Loss 8 | $6,634 | $332 | -$332 | $6,302 |
| Loss 9 | $6,302 | $315 | -$315 | $5,987 |
| Loss 10 | $5,987 | $299 | -$299 | $5,688 |
Total drawdown: $4,312 = 43.1%
Remaining: $5,688 (56.9% of original)
The Recovery Challenge
After the 10-loss streak, both traders need to recover. But recovery is NOT symmetric:
| Drawdown | Recovery Needed | With 1% risk (60% win rate) | Time to Recover |
|----------|----------------|---------------------------|-----------------|
| 10% | +11.1% | ~15 wins at 1:2.5 R:R | ~25 trades (5 weeks) |
| 43% | +75.4% | ~75 wins at 1:2.5 R:R | ~125 trades (25 weeks) |
Trader A recovers in ~5 weeks. Trader B needs ~6 months — IF they don't have another losing streak.
The Psychological Impact
| Factor | Trader A (1% risk) | Trader B (5% risk) |
|--------|-------------------|-------------------|
| Drawdown | 10% | 43% |
| Emotional state | Mildly frustrated | Panicking |
| Confidence | Shaken but intact | Destroyed |
| Likely next action | Continue trading | Revenge trade (increase risk) |
| Probability of recovery | High | Low |
| Probability of blowing account | Very low | High |
The Kelly Criterion Connection
The Kelly Criterion calculates optimal position size based on win rate and R:R:
Kelly % = W - (1-W)/R
Where:
- W = win rate (0.58 for our SMC system)
- R = average R:R (2.5)
Kelly = 0.58 - (0.42/2.5) = 0.58 - 0.168 = 0.412 = 41.2%
Full Kelly (41.2%) is too aggressive. Professional traders use Half Kelly (20.6%) or Quarter Kelly (10.3%).
But even Quarter Kelly is too aggressive for most traders. The 1% rule is essentially "Ultra-Conservative Kelly" — and that's exactly what you want for survival.
FAQ
Q: Is 1% risk too conservative?
A: For beginners, no. For experienced traders, 1-2% is standard. The key is consistency — never change your risk based on emotions.
Q: What if my account is very small ($500)?
A: 1% of $500 = $5 per trade. Use micro lots (0.01). It's slow, but it keeps you in the game while you learn.
Q: How do I handle the emotional impact of 10 losses?
A: Take a 1-week break after 3 consecutive losses. Review your trades. Identify if the losses are from bad analysis or just variance. Return with confidence.
Risk Disclaimer
⚠️ Trading involves significant risk. This case study is for educational purposes only. Past performance does not guarantee future results.
Related Resources:
- 📊 Live Signals | 📈 Performance | 📚 Education | 📝 Blog

