yfinance
pykiteconnect
| yfinance | pykiteconnect | |
|---|---|---|
| 59 | 2 | |
| 11,894 | 947 | |
| - | 1.1% | |
| 8.8 | 4.6 | |
| 2 days ago | 2 months ago | |
| Python | Python | |
| Apache License 2.0 | MIT License |
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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
pykiteconnect
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How to achieve this in multiprocessing?
I am using this API (https://github.com/zerodha/pykiteconnect) to subscribe to live stock market data of close to 200 stocks. Instead of subscribing to all 200 stocks in the main process, I am trying to create separate processes which subscribe individually to these stocks (if that is even possible). Here is my code implementation:
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Is there an API to fetch historical PE ratio for individual stocks?
I think if you have a zerodha account you can avail their API. It's called KITE CONNECT. I haven't tried it personally but you can try. Here's a link to their python client on GitHub https://github.com/zerodha/pykiteconnect
What are some alternatives?
pandas-datareader - Extract data from a wide range of Internet sources into a pandas DataFrame.
investpy - Financial Data Extraction from Investing.com with Python
yahoofinance-api - Java Client API for Yahoo Finance
Alpaca-API - The Alpaca API is a developer interface for trading operations and market data reception through the Alpaca platform.
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
mplfinance - Financial Markets Data Visualization using Matplotlib
finviz - Unofficial API for finviz.com
alphavantage-java - Fluent Java wrapper for Alpha Vantage API
AlphaVantage.jl - A Julia wrapper for the Alpha Vantage API.
Stocksera - Finance application that provides more than 60 different alternative data to retail investors
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.
stock_screener - Picking stocks through various screening methods. Focus on Northern Europe.