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. Learn more →
Top 15 Python yahoo-finance Projects
-
awesome-quant
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
-
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.
-
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.
-
automating-technical-analysis
Using data analytics of popular trading strategies and indicators, to identify best trading actions based solely on the price action.
-
SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
-
ibkr-options-volatility-trading
Volatility trading using Long and Short Straddle options strategies on Interactive Broker using Yahoo Finance and TWS API
-
undervalued-crypto-finder
Get a list of cryptocurrencies which are now cheap and may be a good opportunity for investment
-
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.
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.
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: 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
Project mention: automating-technical-analysis: NEW Data - star count:117.0 | /r/algoprojects | 2023-06-05
Project mention: ibkr-options-volatility-trading: NEW Derivatives and Hedging - star count:100.0 | /r/algoprojects | 2023-10-22
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 yahoo-finance related posts
-
Unofficial Yahoo Finance API is down (again)
-
yahoofinancials: NEW Alternative Finance - star count:806.0
-
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
-
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
-
yahoofinancials: NEW Alternative Finance - star count:791.0
-
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
-
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
-
A note from our sponsor - InfluxDB
www.influxdata.com | 10 May 2024
Index
What are some of the best open-source yahoo-finance projects in Python? This list will help you:
| Project | Stars | |
|---|---|---|
| 1 | awesome-quant | 16,056 |
| 2 | yfinance | 11,894 |
| 3 | MachineLearningStocks | 1,649 |
| 4 | wallstreet | 1,214 |
| 5 | yahoofinancials | 880 |
| 6 | Yahooquery | 740 |
| 7 | automating-technical-analysis | 218 |
| 8 | ibkr-options-volatility-trading | 129 |
| 9 | yahoofinance | 67 |
| 10 | undervalued-crypto-finder | 40 |
| 11 | yf | 19 |
| 12 | yflive | 18 |
| 13 | pstock | 16 |
| 14 | yfin | 4 |
| 15 | 0xStockBot | 2 |
Sponsored
SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
www.saashub.com