IEX¶

Installation
Usage
Show all Functions
Historical Price and Volume for 1 Stock
Adding Time Periods or Frequency
Stock Split and Dividends
Sentiment and News
Insider Trades`_
Stream Realtime Data

Installation¶

Note

Before working with this API, you will need to obtain a key from IEX Cloud

Install pyEX with pip:

pip install pyEX

Usage¶

Note

This library will output a Pandas DataFrame when the function ends with “DF”. Otherwise, they can easily be converted to a dataframe, as show in the Stream Realtime Data section.

Import all necessary libraries:

import pandas as pd
import pyEX as p
import requests

Show all Functions¶

The following command shows all functions available, all of which follow the same structure as the examples below.

[_ for _ in dir(p) if _.endswith('DF')]

Historical Price and Volume for 1 Stock¶

Outputs the OHLCV for the given ticker.

history = conn.chartDF(ticker)

Adding Time Periods or Frequency¶

Changing the timeframe variable adjusts the time frame and frequency of the OHLCV data.

timeframe = '5d' # up to 15 years, or minute-by-minute for the last 30 days
history = conn.chartDF(ticker, timeframe=timeframe)

Stock Split and Dividends¶

Warning

This feature requires a premium subscription

timeframe = '6m'
dividends = conn.dividendsDF(ticker)

Sentiment and News¶

Outputs the headline, source, summary, URL and image of the given ticker.

news = conn.newsDF(ticker, count=10)

Insider Trades¶

Warning

This feature requires a premium subscription

trades = conn.insiderTransactionsDF(ticker)

Stream Realtime Data¶

Each invocation of this function outputs all current data available for the ticker.

ticker = 'GE'

real_time = conn.quote(ticker)

# convert to Pandas DataFrame
real_time = pd.DataFrame(real_time, index = ['value']).T