Python interface to IEX Api (https://iextrading.com/developer/docs/)
Please subscribe to IEX Cloud using my referral code.
Install from pip
pip install pyEX
of from source
python setup.py install
pyEX supports the IEX Cloud api through 2 interfaces. The first is a simple function call, passing in the api version and token as arguments
In [1]: import pyEX as p
In [2]: p.chart?
Signature: p.chart(symbol, timeframe='1m', date=None, token='', version='', filter='')
Docstring:
Historical price/volume data, daily and intraday
https://iexcloud.io/docs/api/#historical-prices
Data Schedule
1d: -9:30-4pm ET Mon-Fri on regular market trading days
-9:30-1pm ET on early close trading days
All others:
-Prior trading day available after 4am ET Tue-Sat
Args:
symbol (string); Ticker to request
timeframe (string); Timeframe to request e.g. 1m
date (datetime): date, if requesting intraday
token (string); Access token
version (string); API version
filter (string); filters: https://iexcloud.io/docs/api/#filter-results
Returns:
dict: resultFor most calls, there is a convenience method that returns a dataframe as well:
In [5]: [_ for _ in dir(p) if _.endswith('DF')]
Out[5]:
['advancedStatsDF',
'auctionDF',
'balanceSheetDF',
'batchDF',
'bookDF',
'bulkBatchDF',
'bulkMinuteBarsDF',
'calendarDF',
...Since the token rarely changes, we have a Client object for convenience:
In [6]: p.Client?
Init signature: p.Client(api_token=None, version='v1', api_limit=5)
Docstring:
IEX Cloud Client
Client has access to all methods provided as standalone, but in an authenticated way
Args:
api_token (string): api token (can pickup from IEX_TOKEN environment variable)
version (string): api version to use (defaults to v1)
set version to 'sandbox' to run against the IEX sandbox
api_limit (int): cache calls in this interval
File: ~/Programs/projects/iex/pyEX/pyEX/client.py
Type: type
Subclasses:The client will automatically pick up the API key from the environment variable IEX_TOKEN, or it can be passed as an argument. To use the IEX Cloud test environment, simple set version='sandbox'.
In [8]: c = p.Client(version='sandbox')
In [9]: c.chartDF('AAPL').head()
Out[9]:
open close high low volume uOpen uClose uHigh uLow uVolume change changePercent label changeOverTime
date
2019-11-27 271.31 274.04 277.09 268.75 16994433 267.69 271.99 271.82 266.32 16811747 0.00 0.0000 Nov 27 0.000000
2019-11-29 271.30 272.19 280.00 279.20 12135259 270.90 275.02 270.00 267.10 11927464 -0.60 -0.2255 Nov 29 -0.002232
2019-12-02 279.96 265.23 276.41 267.93 23831255 279.97 266.80 281.32 269.29 24607845 -3.20 -1.1646 Dec 2 -0.013820
2019-12-03 261.54 271.05 259.96 262.09 30331487 259.87 271.34 269.02 260.71 30518449 -4.93 -1.8450 Dec 3 -0.032745
2019-12-04 272.81 273.56 271.26 267.06 17109161 267.30 262.82 274.99 270.83 17230517 2.39 0.8955 Dec 4 -0.023411- pyEX will transparently cache requests according to the refresh interval as defined on the IEX Cloud website (and in the docstrings), to avoid wasting credits. It can also cache to disk, or integrate with your own custom caching scheme.
- pyEX fully implements the streaming APIs
- pyEX-studies: pyEX integration with TA-Lib and other libraries, for technical analysis and other metrics on top of the IEX data
- pyEX-caching: persistent, queryable caching for pyEX function calls. Minimize your spend and maximize your performance
- pyEX-zipline: Zipline integration for IEX data
Please see the readthedocs for a full API spec
- Powered by IEX Cloud
- Data provided for free by IEX.
- IEX terms of service
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