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Top 23 Python algorithmic-trading Projects
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InfluxDB
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qlib
Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to implementing productions. Qlib supports diverse machine learning modeling paradigms. including supervised learning, market dynamics modeling, and RL.
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financial-machine-learning
A curated list of practical financial machine learning tools and applications.
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quant-trading
Python quantitative trading strategies including VIX Calculator, Pattern Recognition, Commodity Trading Advisor, Monte Carlo, Options Straddle, Shooting Star, London Breakout, Heikin-Ashi, Pair Trading, RSI, Bollinger Bands, Parabolic SAR, Dual Thrust, Awesome, MACD
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backtesting.py
:mag_right: :chart_with_upwards_trend: :snake: :moneybag: Backtest trading strategies in Python.
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SaaSHub
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Crypto-Signal
Github.com/CryptoSignal - Trading & Technical Analysis Bot - 4,100+ stars, 1,100+ forks
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mlfinlab
MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.
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vectorbt
Find your trading edge, using the fastest engine for backtesting, algorithmic trading, and research.
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awesome-systematic-trading
A curated list of awesome libraries, packages, strategies, books, blogs, tutorials for systematic trading. (by paperswithbacktest)
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AutoTrader
A Python-based development platform for automated trading systems - from backtesting to optimisation to livetrading.
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algo-trader
Trading bot with support for realtime trading, backtesting, custom strategies and much more.
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intelligent-trading-bot
Intelligent Trading Bot: Automatically generating signals and trading based on machine learning and feature engineering
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example-scalping
A working example algorithm for scalping strategy trading multiple stocks concurrently using python asyncio
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SaaSHub
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Project mention: Question for people who have tried crypto trading bots. Do they work? Have you made any profits with them or is it a scam mostly? | /r/CryptoCurrency | 2023-05-30
Project mention: Open-source AI-oriented quantitative investment platform | news.ycombinator.com | 2023-11-03
Project mention: financial-machine-learning: NEW Other Models - star count:5115.0 | /r/algoprojects | 2023-12-10
Project mention: quant-trading: NEW Derivatives and Hedging - star count:4620.0 | /r/algoprojects | 2023-10-28
We chose backtesting.py for a backtesting framework. There are several to choose from but that one seems like the most well-supported and actively worked on at the moment.
Project mention: mlfinlab: open source library maintained by hudson and thames though much of the content has moved to a subscription model. Idea is to implement academic research in python code and aggregate it as a package. Sources from [Journal of financial data s | /r/algoprojects | 2023-11-21
Project mention: Scikit-learn Stock Prediction: using fundamental and pricing data to predict future stock returns. Sklearn's randomforest classifier is trainded and author claimed positive live trading results. Not actively mainained Other Models - star count:1520.0 | /r/algoprojects | 2023-08-28
Project mention: algotrading: NEW Extended Research - star count:858.0 | /r/algoprojects | 2023-06-10
I agree that the conventional (numeric) forecasting can hardly benefit from the newest approaches like transformers and LLMs. I made such a conclusion while working on the intelligent trading bot [0] by experimenting with many ML algorithms. Yet, there exist some cases where transformers might provide significant advantages. They could be useful where the (numeric) forecasting is augmented with discrete event analysis and where sequences of events are important. Another use case is where certain patterns are important like those detected in technical analysis. Yet, for these cases much more data is needed.
[0] https://github.com/asavinov/intelligent-trading-bot Intelligent Trading Bot: Automatically generating signals and trading based on machine learning and feature engineering
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).
Python algorithmic-trading related posts
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Ask HN: How to Get into Quantitative Trading?
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hyperdrive: NEW Other Models - star count:108.0
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hyperdrive: NEW Other Models - star count:108.0
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hyperdrive: NEW Other Models - star count:108.0
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Open source backtesting software
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quant-trading: NEW Derivatives and Hedging - star count:4620.0
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quant-trading: NEW Derivatives and Hedging - star count:4620.0
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A note from our sponsor - InfluxDB
www.influxdata.com | 7 May 2024
Index
What are some of the best open-source algorithmic-trading projects in Python? This list will help you:
| Project | Stars | |
|---|---|---|
| 1 | freqtrade | 25,616 |
| 2 | zipline | 17,072 |
| 3 | qlib | 14,195 |
| 4 | financial-machine-learning | 5,540 |
| 5 | jesse | 5,250 |
| 6 | quant-trading | 5,171 |
| 7 | backtesting.py | 4,846 |
| 8 | Crypto-Signal | 4,716 |
| 9 | quantstats | 4,313 |
| 10 | mlfinlab | 3,779 |
| 11 | vectorbt | 3,746 |
| 12 | zvt | 2,990 |
| 13 | awesome-systematic-trading | 2,936 |
| 14 | eiten | 2,694 |
| 15 | MachineLearningStocks | 1,649 |
| 16 | pybroker | 1,610 |
| 17 | algotrading | 1,000 |
| 18 | optopsy | 907 |
| 19 | AutoTrader | 856 |
| 20 | algo-trader | 746 |
| 21 | intelligent-trading-bot | 745 |
| 22 | example-scalping | 725 |
| 23 | lumibot | 696 |
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