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Top 23 Python Finance Projects
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Scout Monitoring
Free Django app performance insights with Scout Monitoring. Get Scout setup in minutes, and let us sweat the small stuff. A couple lines in settings.py is all you need to start monitoring your apps. Sign up for our free tier today.
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awesome-quant
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
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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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akshare
AKShare is an elegant and simple financial data interface library for Python, built for human beings! 开源财经数据接口库 (by akfamily)
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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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financial-machine-learning
A curated list of practical financial machine learning tools and applications.
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backtesting.py
:mag_right: :chart_with_upwards_trend: :snake: :moneybag: Backtest trading strategies in Python.
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pandas-ta
Technical Analysis Indicators - Pandas TA is an easy to use Python 3 Pandas Extension with 150+ Indicators
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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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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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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
have you seen the https://openbb.co/ project? an open source Bloomberg Terminal project you may find interesting ;-)
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
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: 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: Work with First, Second and Third Order Greeks Through the Finance Toolkit | news.ycombinator.com | 2024-01-17Over the last year I've spend a significant amount of time creating a Finance Toolkit in Python, it currently features over 150+ different metrics such as financial ratios, models, risk and performance metrics, technical indicators, macro-economic parameters and since today also all Greeks.
The Finance Toolkit is written in Python and is meant as a free solution to acquire a large range of financial metrics. My goal is to make financial calculations accessible to everyone as there is no point in reinventing the wheel over and over again which I've seen countless of times happen given that I work in the Financial Sector myself.
If you are interested give it a go: https://github.com/JerBouma/FinanceToolkit and find the recent release notes here that talk about the Greeks: https://github.com/JerBouma/FinanceToolkit/releases/tag/v.1....
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 Finance related posts
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Where do you get your B2B news?
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RustQuant: A Library for Quantitative Finance
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Ask HN: How to Get into Quantitative Trading?
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Show HN: Finagg – free and nearly unlimited financial data
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Open-source toolkit to download EDGAR financial reports
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financial-machine-learning: NEW Other Models - star count:5115.0
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cvxportfolio: NEW Portfolio Selection and Optimisation - star count:690.0
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A note from our sponsor - InfluxDB
www.influxdata.com | 1 Jun 2024
Index
What are some of the best open-source Finance projects in Python? This list will help you:
| Project | Stars | |
|---|---|---|
| 1 | OpenBBTerminal | 26,271 |
| 2 | vnpy | 23,685 |
| 3 | dash | 20,653 |
| 4 | zipline | 17,150 |
| 5 | awesome-quant | 16,447 |
| 6 | qlib | 14,345 |
| 7 | akshare | 8,549 |
| 8 | financial-machine-learning | 6,206 |
| 9 | backtesting.py | 4,924 |
| 10 | pandas-ta | 4,845 |
| 11 | quantstats | 4,384 |
| 12 | tf-quant-finance | 4,320 |
| 13 | alpha_vantage | 4,179 |
| 14 | mlfinlab | 3,806 |
| 15 | vectorbt | 3,841 |
| 16 | mplfinance | 3,423 |
| 17 | PyThalesians | 3,369 |
| 18 | awesome-systematic-trading | 3,102 |
| 19 | pandas-datareader | 2,835 |
| 20 | FinanceToolkit | 2,430 |
| 21 | bulbea | 1,969 |
| 22 | pybroker | 1,696 |
| 23 | yahoo-finance | 1,300 |
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