FinanceToolkit
yfinance
| FinanceToolkit | yfinance | |
|---|---|---|
| 63 | 59 | |
| 2,364 | 11,835 | |
| - | - | |
| 9.7 | 8.8 | |
| 6 days ago | 7 days ago | |
| Python | Python | |
| MIT License | Apache License 2.0 |
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
FinanceToolkit
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Work with First, Second and Third Order Greeks Through the Finance Toolkit
Over 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....
- Get Financial Data of 345 Companies Within 40 Seconds with the FinanceToolkit
- Factor Investing now available within the Finance Toolkit for FREE
- Making Financial Calculations Transparent and Efficient with the Finance Toolkit
- FundamentalAnalysis: NEW Data - star count:1341.0
yfinance
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How to catch exceptions in library?
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.
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Api gratuite pour récupération des données de la bourse?
J'utilise yfinance en Python.
- Where to get historical data for biggest gainers/losers each day? (stocks)
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Pandas Datareader
You should give yfinance a try (Github)
- Yfinance problem
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A little dive into the seismic GME graph that was floating around the sub lately
This is cool. I’ve been playing around with plotting data as well, though I’ve used other tools, specifically yfinance to download data and gnuplot for the graphs. I think you found the easier to use graph library, but I recommend you check out yfinance for getting the data in the same script.
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Python and Beautiful Soup - Webscraping Yahoo Finance
You might look at the yfinance module. It's done the work for you.
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I made a Finance Database with over 300.000 tickers to make Investment Decisions easier
That's where you have APIs FundamentalAnalysis, yfinance and OpenBB for that connect very well with my database.
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If you bought every stock removed from the ASX200 in 2020, you would've outperformed the ASX200 by 55% over the last two years. You would also have outperformed someone who bought every stock added to the ASX200 by 85%.
From the S&P Global rebalancing announcements, I pulled every company that was added and removed from the ASX200 in 2020 and made two separate portfolios of even weighting of all stocks. I then backtested, including dividends, the performance of both across the past two years with yfinance.
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Yahoo Finance Python BUG
Well, it's not a "Yahoo! Finance" issue. yfinance is a 3rd party project and isn't associated with Yahoo!. And it's apparently a known issue that started today: https://github.com/ranaroussi/yfinance/issues/1246
What are some alternatives?
FinanceDatabase - This is a database of 300.000+ symbols containing Equities, ETFs, Funds, Indices, Currencies, Cryptocurrencies and Money Markets.
pandas-datareader - Extract data from a wide range of Internet sources into a pandas DataFrame.
AlgorithmicTrading - This repository contains three ways to obtain arbitrage which are Dual Listing, Options and Statistical Arbitrage. These are projects in collaboration with Optiver and have been peer-reviewed by staff members of Optiver.
investpy - Financial Data Extraction from Investing.com with Python
fundamental-analysis - Screen stocks on fundamentals and estimate their intrinsic value
yahoofinance-api - Java Client API for Yahoo Finance
langchain-stock-screener - LangChain agent usable tool to screen stock data
Alpaca-API - The Alpaca API is a developer interface for trading operations and market data reception through the Alpaca platform.
FundamentalAnalysis - Transparent and Efficient Financial Analysis [Moved to: https://github.com/JerBouma/FinanceToolkit]
finnhub-python - Finnhub Python API Client. Finnhub API provides institutional-grade financial data to investors, fintech startups and investment firms. We support real-time stock price, global fundamentals, global ETFs holdings and alternative data. https://finnhub.io/docs/api
financial-machine-learning - A curated list of practical financial machine learning tools and applications.
mplfinance - Financial Markets Data Visualization using Matplotlib