blog · ~6 min read

Kelly Criterion in Trading: Optimal Bet Size

The Kelly Criterion calculates the mathematically optimal bet size for maximizing long-term growth, but full Kelly is too volatile for most traders.

T By tradernewbie · AI-drafted, human-reviewed
#position-sizing#risk-management

Kelly Criterion in Trading: Optimal Bet Size

Bet too small and you leave growth on the table. Bet too big and a losing streak ends you. Kelly finds the line in between.

The Kelly Criterion is a formula developed by John Kelly in 1956 that calculates the fraction of your bankroll to risk in order to maximize long-term compound growth. Originally built for gambling, it translates directly to trading.

The formula

Kelly% = W − (1 − W) / R

Where:

  • W = win rate (as a decimal, e.g., 0.55)
  • R = average win ÷ average loss (reward-to-risk ratio)

Example: Win rate 55%, average win $300, average loss $100 (R = 3).

Kelly% = 0.55 − (0.45 ÷ 3) = 0.55 − 0.15 = 0.40

Full Kelly says risk 40% of your account per trade. That is insane — read on.

Why full Kelly is dangerous

Full Kelly maximizes expected logarithmic growth, but the path is brutal:

Kelly fraction Long-term growth Drawdown depth
100% (full) Maximum Extreme (50%+ common)
50% (half) ~75% of max Moderate
25% (quarter) ~50% of max Mild

A 40% per-trade risk means a 5-trade losing streak leaves you with less than 8% of your account. Few traders can stomach that.

The practical answer: fractional Kelly

Most professional traders use half-Kelly or quarter-Kelly:

  • Half-Kelly = Kelly% ÷ 2
  • Quarter-Kelly = Kelly% ÷ 4

For the example above, half-Kelly is 20%, still high for trading. Quarter-Kelly is 10%. Many discretionary traders settle between 1%–2% total risk — well below Kelly — because their edge estimates are unreliable.

Estimating your inputs honestly

Kelly is only as good as your inputs. Three traps:

  1. Overstating win rate: 100 backtested trades isn't enough to trust 60% as truth
  2. Ignoring slippage and fees: They shrink R more than you think
  3. Non-stationary edge: A strategy that worked in 2021 may not work in 2026

If your true win rate is 50% (not 55%) and R is 2 (not 3), Kelly drops from 40% to 0%. Trade a non-edge with Kelly sizing and you go broke optimally.

How to actually use Kelly

  1. Backtest 200+ trades to estimate W and R conservatively
  2. Compute full Kelly, then divide by 4 (quarter-Kelly)
  3. Cap the result at 1%–2% of account
  4. Cross-check with the position size calculator
  5. Track results in a journal and re-estimate W and R quarterly

Summary

Kelly tells you the mathematically optimal size — not the psychologically survivable one. Use fractional Kelly as a ceiling, never as a target. If your computed Kelly exceeds 2%, treat it as a warning that your edge estimate is probably too optimistic, not as permission to size up.

AI-assisted content · Not financial advice · Trade at your own risk