trading-sp500

Unverified Other strategy on Indices by patrickfrank1. BotFinder score 18 out of 100.

A case study in betting on the S&P 500 using the Kelly criterion

Source: github

Explorer/Indices/trading-sp500
18
Data index
IndicesMedium risk⚠ Unverified

trading-sp500

patrickfrank1GitHub
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Net return
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Max drawdown
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Sharpe
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Profit factor
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Win rate
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Track record
4.7y
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About

trading-sp500

trading-sp500 Testing a Kelly Sizing based betting strategy on the s&p 500 Run the notebooks with binder Motivation I got excited about this project while reading Paul Butler's Article on Kelly sized bets. It offers an excellent introduction into the topic and I encourage you to read it until the very end. This gambling strategy only works on games with a expected positive return in the long run, so natually I thought "Can this strategy be applied to trading the S&P 500?". As as a google search revealed some people have had the same idea before and the foundations were already laid ouf by Edward Thorp and Sheen Kassouf in the 1960s. I stumbled across an excellent bolg post abou algorithmic trading, which can be found here: https://raposa.trade/blog/how-to-improve-your-trading-system-with-the-kelly-criterion/. This article was also the basis for my experiments in this repository. Here I extend the previous results by: - analyses on much more historical data (S&P 500 from 1885 to 2022) - an interactive strategy simulator [1] - more robust backtesting simulations agains historical d

Jupyter NotebookOpen-sourcealgorithmic-tradinginteractive-data-analysiskelly-criterionsnp500stock-market
Track record

⚠ No verified equity curve — no track-record source connected.

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Source
patrickfrank1
Since 2020 · 1 bots

Open-source maintainer on GitHub.

Trust 0Profile
Score & reliability18/100
Perf data0/35
Community0/25
Evidence8/20
Recency10/10
Verification0/10

Data-completeness & trust index (not a profitability rating)

Source facts
Stars16
Forks1
Open issues0
LanguageJupyter Notebook
License—
Last update2024-06-16
Created2022-02-09
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