Kelly Criterion Calculator

This calculator helps traders and investors determine the optimal size of a bet using the Kelly Criterion. It is designed to maximize the logarithm of wealth over the long term by calculating the percentage of the bankroll to be wagered.

Interactive Calculator

Results

Optimal Bet Size 0%

Data Source and Methodology

All calculations are based on the standard Kelly Criterion formula as detailed in financial literature. For more information, consult authoritative sources such as academic papers and financial textbooks. All calculations strictly adhere to these sources.

The Formula Explained

\[ f^* = \frac{bp - q}{b} \]

Where:

  • \( f^* \) is the fraction of the current bankroll to wager;
  • \( b \) is the odds received on the bet;
  • \( p \) is the probability of winning the bet;
  • \( q \) is the probability of losing the bet (1-p).

Glossary of Terms

How It Works: A Step-by-Step Example

Suppose you have a win probability of 60% and a win/loss ratio of 2. Using the Kelly Criterion formula, the optimal bet size is calculated as follows:

\[ f^* = \frac{(2 \times 0.6) - 0.4}{2} = 0.4 \]

This means you should bet 40% of your bankroll.

Frequently Asked Questions (FAQ)

What is the Kelly Criterion?

The Kelly Criterion is a mathematical formula used to determine the optimal size of a series of bets.

How does the Kelly Criterion work?

The formula calculates the proportion of the bankroll to wager on a given bet to maximize the logarithm of wealth.

Is the Kelly Criterion applicable to all types of trading?

While the Kelly Criterion is widely applicable, its assumptions may not hold in all market conditions. It is best used under conditions of certainty regarding win probabilities.

What happens if I miscalculate my win probability?

Miscalculating your win probability can lead to suboptimal or risky betting sizes. It is crucial to use reliable data.

Can the Kelly Criterion be used in gambling?

Yes, it is often used in gambling to maximize returns while controlling risk, but it requires accurate estimates of probabilities and payoffs.

Tool developed by Ugo Candido. Content reviewed by Kelly Criterion Expert Team. Last reviewed for accuracy on: March 1, 2023.
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