---
title: Python Trading Strategies
url: https://www.ml-quant.com/papers/ssrn/4894363/
site: ML-Quant (https://www.ml-quant.com)
updated: 2026-09-26
license: Summaries CC BY 4.0; links go to the original sources
index: https://www.ml-quant.com/llms.txt
identifier: SSRN 4894363
source_url: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4894363
featured: 2024-07-17
citations: unknown
topic: Trading, Microstructure & Execution
---


# Python Trading Strategies

The author appreciates Kakushadze and Serur for their 151 trading strategies and shares a Python version of these strategies on Github.

- Source: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4894363
- Identifier: SSRN 4894363
- Released: 2024-07-13
- First featured: Quant Letter No. 57 (2024-07-17): https://www.ml-quant.com/issues/2024-07-17/
- Citations (Semantic Scholar): not tracked
- Published in: not yet
- Topic: Trading, Microstructure & Execution

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