Python module to get stock data from IEX API 1.0
Python module to retrieve stock data from the Investors Exchange (IEX) Developer API platform. iexfinance provides real-time financial data from the various IEX endpoints, as well as historical time-series data.
This data includes stock quotes, fundamentals, actions, and information. In addition, support for IEX market data and statistics is provided.
Development documentation is also available for the latest changes in master.
From PyPI with pip (latest stable release):
$ pip3 install iexfinance
From development repository (dev version):
$ git clone https://github.com/addisonlynch/iexfinance.git $ cd iexfinance $ python3 setup.py install
Using iexfinance to access data from IEX is quite easy. The most commonly-used endpoints are the Stocks endpoints, which allow access to various information regarding equities, including quotes, historical prices, dividends, and much more.
All top-level functions (such as Stock and get_historical_data), allow for Request Parameters, which include retry_count, pause, and session. These parameters are entirely optional. The first two deal with how unsuccessful requests are handled, and the third allows for the passing of a cached requests-cache session (see caching).
from iexfinance import Stock tsla = Stock('TSLA') tsla.get_open() tsla.get_price()
It’s also possible to obtain historical data from the get_historical_data top-level function. This will return a daily time-series of the ticker requested over the desired date range (start and end passed as datetime.datetime objects).
Pandas DataFrame and JSON (dict) output formatting are selected with the output_format parameter.
from iexfinance import get_historical_data from datetime import datetime start = datetime(2017, 2, 9) end = datetime(2017, 5, 24) df = get_historical_data("AAPL", start=start, end=end, output_format='pandas') df.head()
The resulting DataFrame will indexed by date, with a column for each OHLC datapoint:
It’s really simple to plot this data, using matplotlib:
import matplotlib.pyplot as plt df.plot() plt.show()
IEX Reference Data
Support for the IEX Reference Data endpoints is available through the top level functions get_available_symbols, get_corporate_actions, get_dividends, get_next_day_ex_date, and get_listed_symbol_dir. As with all endpoints, request parameters such as retry_count and output format selection (through output_format) can be passed to the call.
from iexfinance import get_available_symbols get_available_symbols(output_format='pandas')[:2]
IEX Market Data
The IEX Market Data endpoints are supported through various top-level functions, including get_market_tops and get_market_deep.
from iexfinance import get_market_tops get_market_tops()
The IEX Stats endpoints are supported through various top-level functions, including get_stats_intraday and get_stats_recent. These endpoints provide IEX’s trading statistics for a given ticker.
from iexfinance import get_stats_intraday get_stats_intraday()
Copyright © 2018 Addison Lynch
See LICENSE for details
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