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Kelly Criterion: Optimal Position Sizing for Traders

The Kelly Criterion is a mathematical formula that tells you exactly how much of your capital to risk on each trade. Developed by mathematician John Kelly in 1956, this formula has been used by legendary investors like Warren Buffett and hedge funds to optimize position sizing. Understanding and applying it can dramatically improve your long-term trading results.

What is the Kelly Criterion?

The Kelly Criterion calculates the optimal percentage of your portfolio to risk on a single trade or investment. It balances two competing goals: maximizing growth while minimizing the risk of ruin. Risk too little, and your portfolio grows slowly. Risk too much, and a losing streak can devastate your account.

The Kelly Formula: f* = (bp - q) / b

Where: f* = fraction of capital to bet, b = odds received (win/loss ratio), p = probability of winning, q = probability of losing (1 - p)

Breaking Down the Formula

Let us understand each component with a practical example. Suppose you have a trading strategy with these characteristics:

Plugging into the formula:

The Kelly Criterion suggests risking 25% of your capital on each trade. However, this is the mathematically optimal amount, which most traders consider too aggressive for practical use.

Why Full Kelly is Too Aggressive

While the Kelly formula maximizes long-term growth mathematically, it assumes you know your exact win rate and win/loss ratio. In reality:

Fractional Kelly: The Practical Approach

Most professional traders use "fractional Kelly" - typically betting one-half or one-quarter of the full Kelly amount. This approach:

Half Kelly (50%)

Risk half the Kelly-recommended amount. Using our example: 25% x 0.5 = 12.5% per trade.

Benefit: Reduces volatility by 50% while giving up only about 25% of potential growth.

Quarter Kelly (25%)

Risk one-quarter the Kelly amount. Using our example: 25% x 0.25 = 6.25% per trade.

Benefit: Much smoother equity curve with smaller drawdowns. Ideal for most retail traders.

Real-World Kelly Calculation Example

Let us walk through a complete example for an options trader:

Strategy Statistics (from 100 trades):

Calculations:

Kelly Calculation:

Full Kelly suggests 38.25%, but using quarter Kelly: 38.25% x 0.25 = 9.56%. This trader should risk approximately 9-10% of their portfolio per trade.

Adjusting Kelly for Multiple Positions

When you have multiple positions, you need to account for correlation. If trades are correlated (moving together), your effective risk is higher than the sum of individual risks.

Multiple Position Rule: When holding multiple positions, divide your Kelly percentage by the number of correlated positions. If you have 3 similar trades and Kelly suggests 10%, risk approximately 3.3% on each.

When Kelly Gives Negative Numbers

If your Kelly calculation returns a negative number, it means your strategy has negative expected value - you should not be trading it at all. For example:

A negative Kelly indicates you will lose money over time. Either improve your strategy or stop trading it.

Limitations of the Kelly Criterion

While powerful, Kelly has important limitations:

Implementing Kelly in Your Trading

Follow these steps to use Kelly effectively:

Track Your Win Rate Automatically

Pro Trader Dashboard calculates your win rate, average wins, and average losses automatically - the exact metrics you need for Kelly Criterion calculations.

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Kelly vs Other Position Sizing Methods

How does Kelly compare to other approaches?

Summary

The Kelly Criterion provides a mathematically optimal approach to position sizing based on your win rate and win/loss ratio. While full Kelly is often too aggressive for practical use, fractional Kelly (typically 25-50% of full Kelly) offers an excellent balance between growth and risk management. Track your trading statistics carefully, apply the formula, and you will have a systematic approach to position sizing that can dramatically improve your long-term results.

Learn more about expected value in trading or maximum loss strategies.