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Top 23 Python trading-strategy Projects
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awesome-quant
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
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financial-machine-learning
A curated list of practical financial machine learning tools and applications.
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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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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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Crypto-Signal
Github.com/CryptoSignal - Trading & Technical Analysis Bot - 4,100+ stars, 1,100+ forks
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vectorbt
Find your trading edge, using the fastest engine for backtesting, algorithmic trading, and research.
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PyThalesians
Python library for backtesting trading strategies & analyzing financial markets (formerly pythalesians)
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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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blankly
🚀 💸 Easily build, backtest and deploy your algo in just a few lines of code. Trade stocks, cryptos, and forex across exchanges w/ one package.
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TradingGym
Trading and Backtesting environment for training reinforcement learning agent or simple rule base algo.
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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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No, it looks more like a Rust equivalent of libraries like ffn (financial functions for python) or many of the other ones listed here https://github.com/wilsonfreitas/awesome-quant
Using rust to do exploratory analysis in python seems like a misguided idea. But using rust to productize models that have performance and accuracy sensitivities, the things that C/C++ is still used for, indeed sounds like a good idea.
Most of the python libraries used in finance, like numpy/pandas, call out to C for performance reasons; the libraries are essentially python bindings + syntax to C functions. It would be interesting to think about replacing that backend with rust.
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: AlphaPy: machine learning framework built on sklearn and pandas. Support pyfolio/xgboost/lightgmb/catboost(gradient boosting on decision tress) etc. Examples include financial market prediction/sports prediction/kaggle. Configurations are set though | /r/algoprojects | 2023-12-10
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).
Python trading-strategies related posts
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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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quant-trading: NEW Derivatives and Hedging - star count:4620.0
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quant-trading: NEW Derivatives and Hedging - star count:4455.0
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quant-trading: NEW Derivatives and Hedging - star count:4455.0
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quant-trading: NEW Derivatives and Hedging - star count:4455.0
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quant-trading: NEW Derivatives and Hedging - star count:4361.0
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A note from our sponsor - SaaSHub
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Index
What are some of the best open-source trading-strategy projects in Python? This list will help you:
| Project | Stars | |
|---|---|---|
| 1 | awesome-quant | 16,153 |
| 2 | financial-machine-learning | 5,540 |
| 3 | jesse | 5,263 |
| 4 | quant-trading | 5,171 |
| 5 | backtesting.py | 4,868 |
| 6 | Crypto-Signal | 4,716 |
| 7 | vectorbt | 3,776 |
| 8 | PyThalesians | 3,359 |
| 9 | freqtrade-strategies | 3,039 |
| 10 | zvt | 3,003 |
| 11 | OctoBot | 2,941 |
| 12 | awesome-systematic-trading | 2,936 |
| 13 | eiten | 2,694 |
| 14 | blankly | 1,979 |
| 15 | pycryptobot | 1,940 |
| 16 | pybroker | 1,610 |
| 17 | TradingGym | 1,470 |
| 18 | AlphaPy | 1,055 |
| 19 | stock | 986 |
| 20 | AutoTrader | 858 |
| 21 | algo-trader | 746 |
| 22 | lumibot | 705 |
| 23 | LiuAlgoTrader | 672 |
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