*🚀 Master Quantitative Skills with Quant Guild*
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*📈 Interactive Brokers for Algorithmic Trading*
https://www.interactivebrokers.com/mkt/?src=quantguildY&url=%2Fen%2Fwhyib%2Foverview.php
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*🪐 Jupyter Notebook*
https://github.com/romanmichaelpaolucci/Quant-Guild-Library/blob/main/2025%20Video%20Lectures/36.%20How%20to%20Trade%20with%20the%20Kelly%20Criterion/how_to_trade_with_the_kelly_criterion.ipynb
Developing a valid trading signal and system to execute trades based on that signal are only a few pieces of the puzzle - how much of our capital should we risk on any given trade? Here we look to the Kelly Criterion to determine what proportion of our bankroll we should allocate to any given trade to maximize the expected value of our wealth path. Of course, these parameters must be estimated from data, that data is noisy, so are those estimates - and of course, this is just one methodology for producing a quantity to risk. Nevertheless, the Kelly Criterion remains a useful quantity to base decisions off of. Typically, we will alter the bet size up or down relative to the theoretical quantity - but that is a discussion for another day!
- Roman
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*📖 Chapters:*
00:00 - Introduction
00:46 - Expected Value of a Trading System
02:06 - Trading Edge: Accumulating Expected Value
04:22 - Appropriate Bet Sizing
05:00 - Fixed v. Dynamic Betting
06:40 - Losing Money with Positive EV
07:42 - Flaw of Averages
08:30 - Kelly Criterion
10:20 - Trading with the Kelly Criterion
12:24 - Challenges with the Kelly Criterion in Practice
13:36 - Estimation Error in Kelly Criterion
14:45 - Closing Thoughts and Future Topics
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*▶️ Related Videos*
*Expected Stock Returns Don't Exist*
https://youtu.be/iXNSBn5xqrA
*How to Trade*
https://youtu.be/NqOj__PaMec
*How to Trade with an Edge*
https://youtu.be/NlqpDB2BhxE
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*🗂️ Resources*
*📚 Quant Guild Library:*
https://github.com/romanmichaelpaolucci/Quant-Guild-Library
*🌎 GitHub:*
https://github.com/RomanMichaelPaolucci
https://github.com/Quant-Guild
*📝 Medium (Blog):*
https://quantguild.medium.com/
https://medium.com/quant-guild
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*🛠️ Projects*
*The Gaussian Cookbook:*
https://gaussiancookbook.com
*Recipes for simulating stochastic processes:*
https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5332011
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