Position Sizing: The Only Edge That Actually Matters
You have a 60% win rate. Your friend has a 40% win rate.
Who makes more money?
The answer isn't who you think. It's whoever sizes their positions correctly.
This lesson teaches you the single most important concept in trading: position sizing is the only edge that matters.
Expectancy Is Everything
Here's the brutal truth: Your win rate is irrelevant. What matters is expectancy—how much you make per trade on average.
The Math That Changes Everything
Expectancy Formula:
Expectancy = (Win Rate × Avg Win) - (Loss Rate × Avg Loss)
❌ Trader A (High Win Rate, Bad Expectancy)
Win rate: 70%
Avg win: $100
Avg loss: $400
Expectancy:
(0.70 × $100) - (0.30 × $400) = $70 - $120 = -$50
Result: Loses $50 per trade on average despite 70% win rate. Account bleeds slowly.
✅ Trader B (Low Win Rate, Good Expectancy)
Win rate: 40%
Avg win: $500
Avg loss: $100
Expectancy:
(0.40 × $500) - (0.60 × $100) = $200 - $60 = +$140
Result: Makes $140 per trade on average despite 40% win rate. Account compounds aggressively.
The lesson: Trader B is wrong 60% of the time but makes almost 3x per trade because his winners are bigger than his losers.
This is why professional traders focus on risk/reward ratio and position sizing, not win rate.
Risk the Same Percentage Every Time
The simplest and most effective position sizing method: risk a fixed percentage of your account on every trade.
The 1% Rule
Rule: Never risk more than 1% of your account on a single trade.
Why 1%?
- You can lose 10 trades in a row and only be down 10% (recoverable)
- You can lose 20 trades in a row and only be down 18% (still alive)
- Forces discipline—no emotional "all-in" bets
- Allows your edge to play out over hundreds of trades
The Position Sizing Formula
Position Size = (Account Size × Risk %) / (Entry Price - Stop Loss Price)
Example Calculation
Account size: $10,000
Risk per trade: 1% = $100
Entry price: $50.00
Stop loss: $48.00
Risk per share: $50.00 - $48.00 = $2.00
Position size:
$100 / $2.00 = 50 shares
If stopped out: 50 shares × $2.00 loss = $100 loss (exactly 1% of account)
Not: "Buy as many shares as I can afford"
But: "Buy exactly the number of shares that risks 1% if my stop is hit"
Scale to Market Volatility
The 1% rule works, but it doesn't account for market volatility. A stock that moves $5/day needs different sizing than one that moves $0.50/day.
Enter ATR-based position sizing.
What Is ATR (Average True Range)?
ATR measures the average price movement over the last 14 periods. It's a volatility indicator.
- High ATR (e.g., $5): Stock is volatile, big daily swings
- Low ATR (e.g., $0.50): Stock is calm, small daily swings
Why this matters: Your stop loss should be based on volatility, not arbitrary percentages.
ATR-Based Stop Placement
Rule: Place your stop 2× ATR away from your entry (beyond key structure).
Why 2× ATR?
- 1× ATR = too tight, you'll get swept by normal volatility
- 2× ATR = gives breathing room while still invalidating your thesis if hit
- 3× ATR = too wide, risking too much capital
The Complete ATR Sizing Process
Here's how to combine ATR-based stops with fixed fractional sizing:
Example: Scaling Position Size to Volatility
Account: $10,000
Setup quality: A-grade (3+ confluences, high conviction)
Risk amount: 2% of $10,000 = $200
Step 1: Grade Your Setup
A-grade: 3+ confluences (sweep + absorption + HTF alignment) → Risk 2%
B-grade: 2 confluences (clean structure + confirmation) → Risk 1%
C-grade: 1 or fewer confluences → SKIP THE TRADE
Never risk the same amount on every trade. High-conviction setups deserve larger size.
Step 2: Calculate Your Stop Distance
ATR (14-period): $1.00
Stop placement: 2× ATR beyond structure = $2.00
Why 2× ATR? Because 1× ATR gets you swept. 2× ATR gives you breathing room.
So your stop is $2.00 away from potential entry.
Step 3: Calculate Position Size
Position Size = $200 / $2.00 = 100 shares
Example entry: $100.00
Example stop: $98.00 (2× ATR below)
Position size: 100 shares
If stopped: 100 shares × $2.00 loss = $200 loss (exactly 2% of account)
🎓 Why This Is Genius
Wider ATR (volatile market): Smaller position size
Tighter ATR (calm market): Larger position size
Your position size automatically adjusts to market conditions. You're not fighting the volatility—you're scaling to it.
Don't Blow Up in One Session
Here's a mistake that kills accounts:
Trader opens 5 positions, each risking 2%. Total risk: 10%.
Bad news hits. All 5 stop out. Account down 10% in one session.
Common practice involves 3 times and you're done.
⚡ Portfolio Heat Rule
Portfolio heat = Total risk across ALL open positions
Max heat: Never exceed 6% total portfolio risk
Example:
Trade 1: Risking $200 (2%)
Trade 2: Risking $150 (1.5%)
Trade 3: Risking $100 (1%)
Total heat: $450 (4.5%)
✅ Safe to take another 1.5% risk trade
❌ NOT safe to take another 2% risk trade (would exceed 6%)
If you're at 5.5% heat, DO NOT take a new trade until one closes.
This rule alone will save your account from catastrophic drawdowns.
The Step-by-Step System
Here's exactly how to size every trade:
📋 Position Sizing Checklist
Step 1: Grade Your Setup
- A-grade: 3+ confluences (sweep + absorption + HTF alignment)
- B-grade: 2 confluences (clean structure + confirmation)
- C-grade: 1 or fewer confluences → SKIP
Step 2: Calculate Stop Distance
- Use 1.5-2× ATR beyond key structure
- Don't use tighter stops just to "risk less"—you'll get swept
Step 3: Calculate Position Size
Size = (Account × Risk%) / Stop Distance- A-grade: 2% risk | B-grade: 1% risk
Step 4: Check Portfolio Heat
- Add up risk across all open positions
- If total > 6%, wait for a trade to close
Step 5: Execute
- Execute with calculated size
- Set stop at calculated distance
- Target minimum 2R (adjust based on structure)
How NOT to Size Positions
Mistake #1: Fixed 1% on Every Trade
Bad: "I always risk 1%, no matter what."
Why it fails: You're treating A-grade and C-grade setups the same
Fix: Scale to setup quality (A=2%, B=1%, C=skip)
Mistake #2: Ignoring ATR
Bad: "I'll just risk $200 per trade, always."
Why it fails: Fixed dollar amount doesn't account for volatility
Fix: Calculate position size based on ATR stop distance
Mistake #3: Oversizing Because "It's a Sure Thing"
Bad: "This setup is SO good, I'm going 10%!"
Why it fails: Even A-grade setups fail 30-40% of the time
Fix: Max risk per trade = 2%, no exceptions
Mistake #4: No Portfolio Heat Limits
Bad: "I see 5 good setups, taking them all at 2% each."
Why it fails: Correlated risk = 10% drawdown if all fail
Fix: Max portfolio heat = 6% across all positions
Mistake #5: Emotional Position Sizing After Losses
Bad: "I just lost 2% on that last trade. I'm going 5% on this next one to get back to even faster."
Why it fails: Revenge sizing magnifies losses. If you lose that 5% position, you're now down 7% total—a hole that requires a 7.5% gain just to break even. The math works against you: A 10% loss requires an 11.1% gain to recover. A 20% loss requires a 25% gain. A 50% loss requires a 100% gain. Every percentage point of drawdown makes recovery exponentially harder.
The deadly cycle:
- Trade 1: Risk 2%, lose -$1,000 (account: $50K → $49K)
- Trade 2 (emotional): Risk 5% trying to recover, lose -$2,450 (account: $49K → $46,550)
- Trade 3 (desperate): Risk 8% trying to recover, lose -$3,724 (account: $46,550 → $42,826)
- Result: 3 trades, -14.3% drawdown ($50K → $42,826). Now need +16.7% gain just to break even.
Fix: NEVER increase position size after a loss. If anything, decrease size temporarily. After 2 consecutive losses, consider reducing risk to 0.5% per trade for the next 5 trades to rebuild confidence and protect capital. Position sizing must be mechanical, not emotional. The moment you deviate from your plan after a loss, you've entered the danger zone where small drawdowns become account-ending spirals.
🎓 Key Takeaways
- Expectancy is what matters — Accuracy alone is a vanity metric
- Size to setup quality: A-grade = 2%, B-grade = 1%, C-grade = skip
- Use ATR for stop distance: 1.5-2× ATR beyond structure
- Position size formula: (Account × Risk%) / Stop Distance
- Portfolio heat rule: Never exceed 6% total risk across all positions
- Wider ATR = smaller size (auto-scales to volatility)
⚡ Quick Wins for Tomorrow (Click to expand)
Don't overwhelm yourself. Start with these 3 actions:
- Calculate next trade size — Before entering: (Account × 2%) ÷ (Entry - Stop) = Position Size. Write it down.
- Grade your setup — A-grade = 2% risk. B-grade = 1% risk. C-grade = skip entirely.
- Check portfolio heat — Add up all open position risks. If >6%, close something or wait.
After 10 trades with calculated position sizing, you'll see the difference. Wins will be bigger on A-grades, losses will be controlled. This is how you build compounding.
Position sizing isn't sexy. It's not exciting. But it's the difference between surviving 10 years in the market and blowing up in year 1.
🎮 Quick Check
Q: You have a $10,000 account. You find an A-grade setup with ATR = $1.50. You want to risk 2% ($200). What's your position size?
Q: Why is risking a fixed 1% on every trade considered "amateur hour"?
Q: What is portfolio heat and what's the maximum you should risk?
🎯 30-Trade Position Sizing Analysis
Exercise: Prove How Setup Quality Affects Returns
After mastering Quick Wins calculations, run this 30-trade experiment to prove sizing edge matters:
- Track all trades for 30 days: Record setup grade (A/B/C), risk %, position size, and R-multiple outcome for every trade
- Calculate performance by grade: Separate your A-grade vs. B-grade trades. What was the average R-multiple for each? Win rate for each?
- Model alternative sizing: Recalculate your P&L if you had used fixed 1% on ALL trades vs. your actual graded sizing (2% on A, 1% on B, 0% on C)
- Portfolio heat impact: Identify any days where multiple positions stopped out. Did you exceed 6% total heat? What was the max drawdown?
- Optimization: Based on data, adjust your grading criteria. Were some "A-grades" actually B-grades? Did you skip profitable C-grades that had hidden quality?
Expected outcome: After 30 trades, you'll have proof that A-grade setups earn 2-3× more R per trade than B-grades. You'll see graded sizing produced 15-25% higher returns than fixed 1% sizing. This data will cement the habit permanently.
Bonus: Compare your results to Jamie's case study (+$27,300 with graded sizing vs. Alex's +$8,500 with fixed sizing). Your data should show similar patterns.
Advanced Risk Management
Professional frameworks for portfolio heat and correlation
Read Lesson →Trade Journal Mastery
Track your position sizing decisions and improve systematically
Read Lesson →⏭️ Coming Up Next
Lesson #10: Stop Losses—The Uncomfortable Truth
Tight stops get you swept. Wide stops hurt your R:R. Learn where to actually place stops based on structure, not arbitrary percentages.
Educational only. Trading involves substantial risk of loss. Past performance does not guarantee future results.
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