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Top 23 Python quantitative-finance 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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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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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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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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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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robin_stocks
This is a library to use with Robinhood Financial App. It currently supports trading crypto-currencies, options, and stocks. In addition, it can be used to get real time ticker information, assess the performance of your portfolio, and can also get tax documents, total dividends paid, and more. More info at
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Empyrial
AI and data-driven quantitative portfolio management library for portfolio risk and performance analysis 投资组合管理
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AutoTrader
A Python-based development platform for automated trading systems - from backtesting to optimisation to livetrading.
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qf-lib
Modular Python library that provides an advanced event driven backtester and a set of high quality tools for quantitative finance. Integrated with various data vendors and brokers, supports Crypto, Stocks and Futures.
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
Project mention: Open-Sourcing High-Frequency Trading and Market-Making Backtesting Tool | /r/Python | 2023-12-06You might want to suggest this as an extension to the OpenBB project - I imagine that could be of interest to them if there isn’t something like it built in already :-)
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: 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
Project mention: tf-quant-finance: NEW Derivatives and Hedging - star count:3911.0 | /r/algoprojects | 2023-06-10
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: Quantsbin: NEW Derivatives and Hedging - star count:402.0 | /r/algoprojects | 2023-09-02
Python quantitative-finance related posts
- RustQuant: A Library for Quantitative Finance
- financial-machine-learning: NEW Other Models - star count:5115.0
- Open-source AI-oriented quantitative investment platform
- quant-trading: NEW Derivatives and Hedging - star count:4620.0
- qlib: NEW Other Models - star count:12651.0
- financial-machine-learning: NEW Other Models - star count:4862.0
- quant-trading: NEW Derivatives and Hedging - star count:4620.0
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A note from our sponsor - WorkOS
workos.com | 19 Apr 2024
Index
What are some of the best open-source quantitative-finance projects in Python? This list will help you:
Project | Stars | |
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1 | OpenBBTerminal | 26,002 |
2 | awesome-quant | 15,910 |
3 | qlib | 14,096 |
4 | financial-machine-learning | 5,495 |
5 | quant-trading | 5,171 |
6 | tf-quant-finance | 4,259 |
7 | quantstats | 4,228 |
8 | mlfinlab | 3,763 |
9 | vectorbt | 3,711 |
10 | zvt | 2,981 |
11 | awesome-systematic-trading | 2,862 |
12 | bulbea | 1,969 |
13 | MachineLearningStocks | 1,642 |
14 | robin_stocks | 1,615 |
15 | pybroker | 1,580 |
16 | stock | 926 |
17 | Empyrial | 860 |
18 | AutoTrader | 849 |
19 | lumibot | 682 |
20 | qf-lib | 460 |
21 | Quantsbin | 450 |
22 | Q-Fin | 367 |
23 | OptimalPortfolio | 341 |