Stock Position Size Calculator
Calculate exactly how many shares to buy based on your account size, risk per trade, entry price, and stop loss. Compare Fixed %, Kelly Criterion, and ATR sizing methods. Simulate 100-trade equity curves with Monte Carlo. Free, no login, runs 100% in your browser.
Account & Risk
Trade Setup
POSITION SIZE
31
shares · $4,650
2.5:1
Good
Max Loss
$248
1.0%
Max Gain
$620
2.5%
Breakeven WR
28.6%
to profit
Zone
Safe
Good
Trade Setup Diagram
Sizing Methods Compared
| Method | Shares | $ Risk | $ Reward | Badge |
|---|---|---|---|---|
| Fixed % | 31 | $248 | $620 | 1.0% risk |
| Half Kelly | 507 | $4,056 | $10,140 | f*=32.5% |
| ATR-Based | 31 | $248 | $620 | 1.0× ATR |
Warning: Kelly > 25% is very aggressive. Half-Kelly (507 shares) recommended for real trading.
Expectancy Calculator
+0.650R
per trade expectancy
55% × 2.0R − 45% × 1R = +0.650R
Over 100 trades: +$16,120
Monte Carlo Equity Curve — 100 Trades
Losing Streak Stress Test — 5 Consecutive Losses
1% Risk
-4.9%
Recovery needed: 5.2%
Probability: 1.8%
1.0% Risk (Yours)
-4.9%
Recovery needed: 5.2%
Probability: 1.8%
5% Risk
-22.6%
Recovery needed: 29.2%
Probability: 1.8%
Risk Report Card
89/100
Position Sizing
A+1% risk per trade
Risk/Reward
B2.5:1 R:R ratio
Account Preservation
A9.6% drawdown after 10 losses
Win Rate Edge
A+26.4pp above breakeven
Portfolio Focus
B+No open positions tracked
Drawdown Resilience
B+5.2% recovery needed after 5 losses
What-If Risk Simulator
At 1.0% risk, 1.0x stop, 55% win rate:
Reverse Calculator
62 shares ($9,300 total), actual risk $496
Trade Journal
Entry
$150.00
Stop
$142.00
Target
$170.00
Shares
31
Max Loss
$248
Grade
A-
LotofTools.org · 2026-04-05
What Is Position Sizing and Why Does It Matter?
Position sizing determines how many shares (or contracts) to buy or sell on a given trade. It is the single most important risk management decision a trader makes — more important than entry timing, indicator selection, or stock picking. A trader with a mediocre strategy but excellent position sizing will outperform a trader with a great strategy but reckless sizing. The reason is mathematical: position sizing controls the amount you lose on losing trades, and losing trades are inevitable. Even strategies with 60%+ win rates will regularly produce 5+ consecutive losses. If each loss wipes out 5% of your account, five losses in a row destroy 22.6% of your capital — requiring a 29.2% gain just to break even. At 1% risk per trade, the same streak costs only 4.9%.
How to Calculate Position Size (Step-by-Step)
The core formula is simple: Shares = Dollar Risk / Stop Distance. Dollar Risk is your account size multiplied by your risk percentage (e.g., $25,000 × 1% = $250). Stop Distance is the absolute difference between your entry price and stop loss price (e.g., $150 entry − $142 stop = $8). Dividing: $250 / $8 = 31 shares. Your total position value is 31 × $150 = $4,650, but your maximum loss is capped at $248 (31 × $8). Commission costs should be subtracted from the dollar risk before dividing — a round-trip commission of $10 reduces your effective risk budget to $240, yielding 30 shares instead of 31.
Position Sizing Methods Compared
Fixed Percentage is the most common method: risk a fixed % of your account per trade (typically 1-2%). It automatically adjusts position size as your account grows or shrinks. It is simple, effective, and recommended for most traders. Kelly Criterion calculates the mathematically optimal fraction of your bankroll to wager, given your win rate and average win/loss ratio. The formula (f* = (bp − q) / b) maximizes the geometric growth rate of your account. However, full Kelly is extremely aggressive and volatile — most practitioners use Half Kelly (50% of the optimal fraction) for a smoother equity curve with nearly the same long-term growth. Volatility-Based (ATR) sizing uses the Average True Range to calibrate position size to market conditions. When volatility is high, you trade smaller; when it's low, you trade larger. This keeps your actual dollar risk consistent regardless of market regime.
Understanding Risk/Reward Ratio
The risk/reward ratio (R:R) compares your potential loss to your potential profit. A 2:1 R:R means you stand to gain twice what you risk. The critical insight is that R:R determines your breakeven win rate: at 1:1 R:R, you need 50% win rate to break even; at 2:1, only 33.3%; at 3:1, only 25%. This means a strategy with a 40% win rate can be highly profitable if the average winner is 3x the average loser. Many novice traders fixate on win rate, but professional traders focus on expectancy: (Win% × Average Win) − (Loss% × Average Loss). A positive expectancy, combined with proper position sizing, produces consistent long-term profits regardless of individual trade outcomes.
The Kelly Criterion Explained
Developed by John L. Kelly Jr. at Bell Labs in 1956, the Kelly Criterion was originally designed for optimizing telephone signal transmission. Traders adapted it to calculate the optimal bet size that maximizes the long-term growth rate of capital. The formula is f* = (bp − q) / b, where b is the average win/loss ratio, p is the probability of winning, and q = 1 − p. If Kelly returns a negative value, the system has no mathematical edge and you should not trade it. If Kelly returns more than 25%, proceed with extreme caution — such high fractions produce violent drawdowns. Half Kelly is the industry standard for real-money trading: it captures about 75% of Kelly's growth rate with roughly 50% of its variance.
Monte Carlo Simulation for Traders
A Monte Carlo simulation randomly generates hundreds of possible outcomes based on your trading statistics (win rate, R:R ratio, risk per trade). Each simulation path represents one possible future for your account over 100 trades. By running 50 paths simultaneously, you see the range of possible outcomes — from the best-case P90 (only 10% of paths perform better) to the worst-case P10 (only 10% perform worse). The median gives you the most likely outcome. Monte Carlo reveals something that single-point projections cannot: the probability of ruin. Even with a positive expectancy system, aggressive position sizing can produce a non-zero probability of account destruction. The simulation shows this risk visually — if any paths touch zero, your sizing is too aggressive.
Common Position Sizing Mistakes
Risking too much per trade is the most common and most fatal mistake. Traders who risk 5-10% per trade can lose 40%+ of their account in a single bad week. Not accounting for commissions erodes edge — if your expected profit per trade is $50 but you pay $20 in round-trip commissions, 40% of your edge is consumed. Ignoring correlation: four positions in tech stocks are really one position — when AAPL drops, MSFT, GOOGL, and AMZN tend to drop too. Track your portfolio heat (total % at risk) and keep it below 6%. Adjusting size after wins/losses (increasing after wins, decreasing after losses) feels intuitive but mathematically underperforms fixed-percentage sizing. The market has no memory — your next trade's odds are independent of your last result.
Position Sizing for Forex, Crypto, and Options
Forex: Position size is measured in lots (100,000 units). The formula is the same, but stop distance is measured in pips. For EUR/USD with a 15-pip stop, $250 risk, and $10/pip value per standard lot, your size is 0.25 lots (25,000 units). Crypto: High volatility means wider stops — a 5% stop on Bitcoin at $63,000 is $3,150. With a $5,000 account risking 2% ($100), you can only trade 0.032 BTC. This is why crypto traders often use higher risk percentages (3-5%) — but the math of ruin applies equally. Options: For long options, your maximum loss is the premium paid, making position sizing simpler: risk % of account = number of contracts × premium. For spreads and complex strategies, calculate max loss from the defined risk of the spread.
Frequently Asked Questions
How do I calculate position size?
Divide your dollar risk (account size × risk %) by the distance between your entry price and stop loss. For example: $25,000 account, 1% risk = $250 dollar risk. Entry at $150, stop at $142 = $8 distance. $250 / $8 = 31 shares.
What is the 1% rule in trading?
The 1% rule states that you should never risk more than 1% of your total trading account on any single trade. With a $25,000 account, your maximum loss per trade is $250. This limits drawdowns during inevitable losing streaks — 10 consecutive losses at 1% risk only costs 9.6% of your account.
What is a good risk/reward ratio?
A minimum of 2:1 is recommended by most professional traders. At 2:1 R:R, you only need to win 33.3% of your trades to break even. At 3:1, the breakeven drops to 25%. The higher your R:R, the lower the win rate you need — but wider targets may reduce your win rate, so balance is key.
How many shares should I buy?
Never decide by “gut feeling” or by dividing your cash by the stock price. Always calculate: Shares = (Account × Risk%) / |Entry − Stop Loss|. This ensures every trade has a predetermined maximum loss that aligns with your risk management plan.
How does Kelly Criterion work for trading?
Kelly Criterion (f* = (bp − q) / b) calculates the fraction of your account to risk per trade that maximizes long-term growth. b is your average win/loss ratio, p is your win probability. Most traders use Half Kelly for safety, which captures about 75% of the optimal growth rate with much lower volatility.
What is portfolio heat?
Portfolio heat is the total percentage of your account at risk across all open positions simultaneously. If you have 4 positions each risking 2%, your portfolio heat is 8%. The guideline is to keep total heat below 6% — if all stops hit at the same time, you want to survive with most of your account intact.