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The World’s Best Risk Strategy: Kelly Criterion – My Trading – 3 May 2025

by Investor News Today
May 3, 2025
in Investing
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Wavelet Transform and why people used it to denoise 1min chart and its comparison with Fourier Transform – Analytics & Forecasts – 29 April 2025
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What’s it?

The Kelly Criterion is a mathematical system that calculates the optimum quantity to danger on every wager/commerce to maximise long-term progress whereas avoiding wreck.

Method:

If you realize your:

Then:

Kelly % = [ (b × p) – q ] / b

🎯 Let’s Apply it to a Case

  • You may have $100.

  • The sport has:

    • Excessive Danger

    • Reward vary: 1x to 100x

    • Let’s assume common reward = 10x

    • Let’s say win chance p = 0.1 (10%)

    • Then q = 0.9 , and b = 10

Kelly % = (10 × 0.1 − 0.9) / 10 = (1 − 0.9) / 10 = 0.1 / 10 = 0.01 = 1%

So it is best to danger only one% of your capital on every wager.

Why? As a result of risking extra (e.g., 10%, 20%) in a high-variance system will finally blow your account. Kelly ensures long-term compounding with minimal danger of wreck.


Ought to You Hold Danger Fixed?

Not all the time. This is the logic:

State of affairs Motion Cause
You’re successful Improve barely Capital grows → larger % dollar-wise, maintain % secure or enhance barely.
You’re dropping Scale back danger Keep away from drawdowns turning into wreck. Compounding in reverse is lethal.
Sport edge modifications Recalculate Kelly As chance or payout modifications, so does optimum danger.

Actual-World Merchants Use This:

  • Edward Thorp (inventor of Kelly) turned blackjack income right into a hedge fund empire.

  • Renaissance Applied sciences, Soros, Druckenmiller, and lots of quant funds use Kelly-like fashions.

  • Crypto fund managers scale positions dynamically based mostly on edge + volatility.


Conclusion: Technique Abstract

Metric Worth / Logic
Capital $100
Common Win % 10%
Reward/Danger 10:1
Danger per Guess 1% (Kelly)
Regulate per final result? Sure, adapt barely
Purpose Keep away from wreck, develop exponentially over time



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