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Top 16 Jupyter Notebook algorithmic-trading Projects
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PyPortfolioOpt
Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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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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AlgorithmicTrading
This repository contains three ways to obtain arbitrage which are Dual Listing, Options and Statistical Arbitrage. These are projects in collaboration with Optiver and have been peer-reviewed by staff members of Optiver.
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fin-ml
This github repository of "Machine Learning and Data Science Blueprints for Finance". Please star.
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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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STOCK-RETURN-PREDICTION-USING-KNN-SVM-GUASSIAN-PROCESS-ADABOOST-TREE-REGRESSION-AND-QDA
Forecast stock prices using machine learning approach. A time series analysis. Employ the Use of Predictive Modeling in Machine Learning to Forecast Stock Return. Approach Used by Hedge Funds to Select Tradeable Stocks
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investment_analysis
automatically fetch value stocks and stocks with unusual option activity (pareto front of iv skew and vrp)
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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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hca-resources
zipline-broker Examples. Full notebooks plus python code for long term investment strategies using zipline based tools.
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Crypto-Currency-Trade-Finder
Jupyter Notebooks to Help Discover New Crypto Currency Trading Strategies
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Project mention: Batendo BOVA11 - Approach usando Reinforcement Learning | /r/farialimabets | 2023-09-11FinRL ---> https://github.com/AI4Finance-Foundation/FinRL
Project mention: PyPortfolioOpt: Financial portfolio optimisation, including classical efficient frontier and advanced methods. Portfolio Selection and Optimisation - star count:3788.0 | /r/algoprojects | 2023-10-24
Project mention: Performance Analysis: Performance analysis of predictive (alpha) stock factors. Factor and Risk Analysis - star count:2892.0 | /r/algoprojects | 2023-12-09
Project mention: HFT: High frequency trading. Extended Research - star count:1469.0 | /r/algoprojects | 2023-07-08
Project mention: AlgorithmicTrading: NEW Derivatives and Hedging - star count:527.0 | /r/algoprojects | 2023-06-10
Project mention: fin-ml: accompanying materials for book [Machine Learning and Data Science Blueprints for Finance](https://www.amazon.com/Machine-Learning-Science-Blueprints-Finance/dp/1492073059) on top of basic machine learning models i.e. nlp/reinforcement learni | /r/algoprojects | 2023-11-10
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 algorithmic-trading related posts
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Performance Analysis: Performance analysis of predictive (alpha) stock factors. Factor and Risk Analysis - star count:2892.0
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Performance Analysis: Performance analysis of predictive (alpha) stock factors. Factor and Risk Analysis - star count:2892.0
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Performance Analysis: Performance analysis of predictive (alpha) stock factors. Factor and Risk Analysis - star count:2892.0
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Performance Analysis: Performance analysis of predictive (alpha) stock factors. Factor and Risk Analysis - star count:2892.0
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Performance Analysis: Performance analysis of predictive (alpha) stock factors. Factor and Risk Analysis - star count:2892.0
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Performance Analysis: Performance analysis of predictive (alpha) stock factors. Factor and Risk Analysis - star count:2892.0
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fin-ml: accompanying materials for book [Machine Learning and Data Science Blueprints for Finance](https://www.amazon.com/Machine-Learning-Science-Blueprints-Finance/dp/1492073059) on top of basic machine learning models i.e. nlp/reinforcement learni
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A note from our sponsor - SaaSHub
www.saashub.com | 10 May 2024
Index
What are some of the best open-source algorithmic-trading projects in Jupyter Notebook? This list will help you:
| Project | Stars | |
|---|---|---|
| 1 | FinRL | 9,152 |
| 2 | PyPortfolioOpt | 4,144 |
| 3 | alphalens | 3,102 |
| 4 | SGX-Full-OrderBook-Tick-Data-Trading-Strategy | 1,749 |
| 5 | machine-learning-asset-management | 1,627 |
| 6 | AlgorithmicTrading | 801 |
| 7 | fin-ml | 711 |
| 8 | NSE-Stock-Scanner | 165 |
| 9 | STOCK-RETURN-PREDICTION-USING-KNN-SVM-GUASSIAN-PROCESS-ADABOOST-TREE-REGRESSION-AND-QDA | 116 |
| 10 | bsm-time-machine | 57 |
| 11 | investment_analysis | 23 |
| 12 | Finding-Alpha-with-AI | 15 |
| 13 | docs | 11 |
| 14 | rl-trading | 4 |
| 15 | hca-resources | 3 |
| 16 | Crypto-Currency-Trade-Finder | 2 |
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