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Top 11 Jupyter Notebook trading-strategy Projects
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machine-learning-for-trading
Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.
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AppSignal
Monitoring that respects your time & budget. APM, error tracking, and dashboards for modern web apps. Ten-minute setup, transparent flat pricing, and support from engineers who actually use the product.
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SGX-Full-OrderBook-Tick-Data-Trading-Strategy
Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.
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NSE-Stock-Scanner
National Stock Exchange (NSE), India based Stock screener program. Supports Live Data, Swing / Momentum Trading, Intraday Trading, Connect to online brokers as Zerodha Kite, Risk Management, Emotion Control, Screening, Strategies, Backtesting, Automatic Stock Downloading after closing, live free day trading data and much more
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algotrading-example
algorithmic trading backtest and optimization examples using order book imbalances. (bitcoin, cryptocurrency, bitmex, binance futures, market making)
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HFTFramework
HFTFramework utilized for research on " A reinforcement learning approach to improve the performance of the Avellaneda-Stoikov market-making algorithm "
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
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Finding-Alpha-with-AI
A 3 part series of Jupyter notebooks to help one find alpha in the stock market with AI
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DeFi-Algorithmic-Trading
Algorithmic trading strategies for decentralized exchanges (DEX) & automatic market makers (AMM) including Uniswap, Sushiswap, & Pancakeswap
NOTE:
The open source projects on this list are ordered by number of github stars.
The number of mentions indicates repo mentiontions in the last 12 Months or
since we started tracking (Dec 2020).
Jupyter Notebook trading-strategies discussion
Jupyter Notebook trading-strategies related posts
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GS Quant – Python toolkit for quantitative finance
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gs-quant: NEW Derivatives and Hedging - star count:2095.0
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gs-quant: NEW Derivatives and Hedging - star count:2095.0
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gs-quant: NEW Derivatives and Hedging - star count:1942.0
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gs-quant: NEW Derivatives and Hedging - star count:1942.0
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gs-quant: NEW Derivatives and Hedging - star count:1768.0
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gs-quant: NEW Derivatives and Hedging - star count:1768.0
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A note from our sponsor - SaaSHub
www.saashub.com | 6 Oct 2026
Index
What are some of the best open-source trading-strategy projects in Jupyter Notebook? This list will help you:
| # | Project | Stars |
|---|---|---|
| 1 | machine-learning-for-trading | 21,198 |
| 2 | SGX-Full-OrderBook-Tick-Data-Trading-Strategy | 2,329 |
| 3 | fastquant | 1,756 |
| 4 | machine-learning-asset-management | 1,750 |
| 5 | NSE-Stock-Scanner | 345 |
| 6 | algotrading-example | 323 |
| 7 | HFTFramework | 307 |
| 8 | trade-executor | 160 |
| 9 | Finding-Alpha-with-AI | 18 |
| 10 | Mad-Money-Backtesting | 12 |
| 11 | DeFi-Algorithmic-Trading | 8 |
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