SaaSHub helps you find the best software and product alternatives Learn more →
Top 23 Python stock-data Projects
-
awesome-quant
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
-
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.
-
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.
-
-
yahoofinancials
A powerful financial data module used for pulling data from Yahoo Finance. This module can pull fundamental and technical data for stocks, indexes, currencies, cryptos, ETFs, Mutual Funds, U.S. Treasuries, and commodity futures.
-
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.
-
Empyrial
AI and data-driven quantitative portfolio management library for portfolio risk and performance analysis 投资组合管理
-
-
-
Stock-Prediction-Neural-Network-and-Machine-Learning-Examples
Examples of python neural net and ML stock prediction methods with sample stock data.
-
Stocks-Pattern-Analyzer
This tool should help discover different patterns based on similarity measures in historical (financial) data
-
quantclean
🧹 Quantclean is a program that reformats financial dataset to US Equity TradeBar (Quantconnect format)
-
SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
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
If you check the file here - https://github.com/ranaroussi/yfinance/blob/main/yfinance/base.py - you can see this is communicated via the "raise Exception('%s: %s' % (self.ticker, err_msg))" line. I'm trying to use the following to catch the exception but no luck.
I've looked at https://github.com/pydata/pandas-datareader and it looks good, does anyone have experience?
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....
Project mention: wallstreet: NEW Derivatives and Hedging - star count:1045.0 | /r/algoprojects | 2023-07-31
Project mention: yahoofinancials: NEW Alternative Finance - star count:806.0 | /r/algoprojects | 2023-10-02
After a Deep research I found this golden list https://api.tiingo.com/ https://alpaca.markets/docs/api-references/market-data-api/stock-pricing-data/realtime/#updated-bars-updatedbars https://api.tiingo.com/documentation/websockets/iex https://moon.finage.co.uk/user/subscription/api https://github.com/polygon-io/client-python https://www.barchart.com/ondemand/api/getQuote https://iexcloud.io/docs/api/#real-time-quote
Code on GitHub
In the past, I was heavily involved in retail trading, navigating the financial waves manually. The realization that I could automate my trading strategies was a game-changer. Eager to optimize my workflow, I dove headfirst into learning Python in a more detailed way and began crafting my trading tools.
This led me to create FAIG, which you can explore here: https://github.com/tg12/FAIG
To my surprise, it gathered momentum on Reddit. But take it from me, a lot of the chatter on algotrading is mere noise rather than insightful wisdom.
But FAIG is not my only creation. I have a treasure trove of other coding repositories where I occasionally unveil some of my custom trading scripts. You can check out one of these at https://github.com/tg12/hft_sig_trend
Remember, the key is to strategize and then automate. Bring precision and efficiency to your trading.
Project mention: Digrin dotcom for long-term dividend info? Which sources are best? | /r/dividends | 2023-06-26Usually, there are platforms like eodhistoricaldata.com, iexcloud.io or financialmodelingprep.com which provide data for a monthly fee. They also have their issues, but if reported, wrong data are usually fixed swiftly.
Project mention: LangChain Based Stock Screener tool using Alpaca API and data frame agent | /r/LangChain | 2023-07-25
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 stock-data related posts
- RustQuant: A Library for Quantitative Finance
- Work with First, Second and Third Order Greeks Through the Finance Toolkit
- Get Financial Data of 345 Companies Within 40 Seconds with the FinanceToolkit
- FundamentalAnalysis: NEW Data - star count:1805.0
- FundamentalAnalysis: NEW Data - star count:1805.0
- FundamentalAnalysis: NEW Data - star count:1805.0
- Open-source AI-oriented quantitative investment platform
-
A note from our sponsor - SaaSHub
www.saashub.com | 25 Apr 2024
Index
What are some of the best open-source stock-data projects in Python? This list will help you:
| Project | Stars | |
|---|---|---|
| 1 | awesome-quant | 15,910 |
| 2 | qlib | 14,136 |
| 3 | yfinance | 11,778 |
| 4 | pandas-datareader | 2,819 |
| 5 | FinanceToolkit | 2,343 |
| 6 | wallstreet | 1,211 |
| 7 | yahoofinancials | 874 |
| 8 | Empyrial | 862 |
| 9 | jqdatasdk | 850 |
| 10 | Yahooquery | 732 |
| 11 | client-python | 682 |
| 12 | pyEX | 403 |
| 13 | Stock-Prediction-Neural-Network-and-Machine-Learning-Examples | 263 |
| 14 | Stocks-Pattern-Analyzer | 214 |
| 15 | FAIG | 144 |
| 16 | mftool | 136 |
| 17 | stock_screener | 128 |
| 18 | fundamental-analysis | 57 |
| 19 | langchain-stock-screener | 22 |
| 20 | yf | 19 |
| 21 | yflive | 18 |
| 22 | pstock | 16 |
| 23 | quantclean | 16 |
Sponsored
SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
www.saashub.com