Yet another unofficial Yahoo Finance API, but with concurrent requests
Project description
Pyhoo
Yet another unofficial Yahoo Finance API library but with concurrent requests.
Pyhoo is simple:
import pyhoo
tickers = ['FB', 'AAPL', 'AMZN', 'GOOGL']
start = '2020-02-01'
end = '2020-11-02'
stock_prices = pyhoo.get('chart', tickers, start=start, end=end, granularity="1d")
financial_reports = pyhoo.get('fundamentals', tickers, start=start, end=end)
options = pyhoo.get('options', tickers, strikeMax=400.0)
The result of pyhoo.get
is a formatted pandas.DataFrame
(here for stock prices):
timestamp | high | low | volume | open | close | adjclose | currency | symbol | exchangeName | instrumentType | regularMarketPrice | ... | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
0 | 1580481000 | 208.69 | 201.06 | 31359900 | 208.43 | 201.91 | 201.91 | USD | FB | NMS | EQUITY | 286.95 | ... |
1 | 1580740200 | 205.14 | 202.5 | 15510500 | 203.44 | 204.19 | 204.19 | USD | FB | NMS | EQUITY | 286.95 | ... |
2 | 1580826600 | 210.6 | 205.2 | 19628900 | 206.62 | 209.83 | 209.83 | USD | FB | NMS | EQUITY | 286.95 | ... |
3 | 1580913000 | 212.73 | 208.71 | 12538200 | 212.51 | 210.11 | 210.11 | USD | FB | NMS | EQUITY | 286.95 | ... |
4 | 1580999400 | 211.19 | 209.34 | 10567500 | 210.47 | 210.85 | 210.85 | USD | FB | NMS | EQUITY | 286.95 | ... |
5 | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... |
Pyhoo is fast, it uses concurrency to fire multiple requests at the same time. You can request all the tickers of the S&P500 in one shot.
Pyhoo is still in development, feel free to add more endpoints thanks to the Config
object !
Currently, it supports three endpoints:
chart
, for OHLC data, basically stock pricesfundamentals
, for financial data about the firm, see the list of available reportsoptions
, for detailed information on each call and put at each strike on specific tickers
Troubleshooting
If running from a Jupyter Notebook, you may encounter the following error:
RuntimeError: asyncio.run() cannot be called from a running event loop
This is because Jupyter Notebooks are running themselves in an event loop, and it is a known issue with asyncio.run
.
There is a workaround, a bit hacky but gets the job done, using nest_asyncio.
pip install nest_asyncio
Then in the Notebook, before calling pyhoo.get
:
import nest_asyncio
nest_asyncio.apply()
And you should be ok !
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