Python interface to IEX Api (https://iextrading.com/developer/docs/)

If you redistribute our API data:

• Cite IEX using the following text and link: “Data provided for free by IEX.”
• Provide a link to https://iextrading.com/api-exhibit-a in your terms of service.
• Additionally, if you display our TOPS price data, cite “IEX Real-Time Price” near the price.

• Read The Docs!
• Demo Notebook

Notebook

• Bulk requests

  This is your best bet for getting bulk data, it is as performant as the IEX api allows.

      def bulkBatch(symbols, types=None, _range='1m', last=10):

      def bulkBatchDF(symbols, types=None, _range='1m', last=10):

• batch

      def batch(symbols, types=None, _range='1m', last=10):

      def batchDF(symbols, types=None, _range='1m', last=10):

• book

      def book(symbol):

      def bookDF(symbol):

• chart

      def chart(symbol, timeframe='1m', date=None):

      def chartDF(symbol, timeframe='1m'):

• company

      def company(symbol):

      def companyDF(symbol):

• collections

      def collections(tag, query):

      def collectionsDF(tag, query):

• crypto

      def crypto():

      def cryptoDF():

• delayedQuote

      def delayedQuote(symbol):

      def delayedQuoteDF(symbol):

• dividends

      def dividends(symbol, timeframe='ytd'):

      def dividendsDF(symbol, timeframe='ytd'):

• earnings

      def earnings(symbol):

      def earningsDF(symbol):

• earningsToday

      def earningsToday(symbol):

      def earningsTodayDF(symbol):

• spread

      def spread(symbol):

      def spreadDF(symbol):

• financials

      def financials(symbol):

      def financialsDF(symbol):

• ipos

      def ipoToday():
      def ipoUpcoming():

      def ipoTodayDF():
      def ipoUpcomingDF():

• threshold

      def threshold(date=None):

      def thresholdDF(date=None):

• shortInterest

      def shortInterest(symbol, date=None):

      def shortInterestDF(symbol, date=None):

• marketShortInterest

      def marketShortInterest(date=None):

      def marketShortInterestDF(date=None):

• stockStats

      def stockStats(symbol):

      def stockStatsDF(symbol):

• largestTrades

      def largestTrades(symbol):

      def largestTradesDF(symbol):

• list

      def list(option='mostactive'):

      def listDF(option='mostactive'):

• logo

      def logo(symbol):

      def logoPNG(symbol):

      def logoNotebook(symbol):

• news

      def news(symbol, count=10):

      def newsDF(symbol, count=10):

• marketNews

      def marketNews(count=10):

      def marketNewsDF(count=10):

• ohlc

      def ohlc(symbol):

      def ohlcDF(symbol):

• marketOhlc

      def marketOhlc():

      def marketOhlcDF():

• peers

      def peers(symbol):

      def peersDF(symbol):

• yesterday

      def yesterday(symbol):

      def yesterdayDF(symbol):

• marketYesterday

      def marketYesterday():

      def marketYesterdayDF():

• price

      def price(symbol):

      def priceDF(symbol):

• quote

      def quote(symbol):

      def quoteDF(symbol):

• sectorPerformance

      def sectorPerformance():

      def sectorPerformanceDF():

• relevant

      def relevant(symbol):

      def relevantDF(symbol):

• splits

      def splits(symbol, timeframe='ytd'):

      def splitsDF(symbol, timeframe='ytd'):

• volumeByVenue

      def volumeByVenue(symbol):

      def volumeByVenueDF(symbol):

• symbols

      def symbols():

      def symbolsDF():

      def symbolsList():

• corporateActions

      def corporateActions(date=None):

      def corporateActionsDF(date=None):

• dividends

      def dividends(date=None):

      def dividendsDF(date=None):

• nextDayExtDate

      def nextDayExtDate(date=None):

      def nextDayExtDateDF(date=None):

• directory

      def directory(date=None):

      def directoryDF(date=None):

• tops

      def tops(symbols=None):

      def topsDF(symbols=None):

      def topsWS(symbols=None, on_data=None):

• last

      def last(symbols=None):

      def lastDF(symbols=None):

      def lastWS(symbols=None, on_data=None):

• hist

      def hist(date=None):

      def histDF(date=None):

• deep

      def deep(symbol=None):

      def deepDF(symbol=None):

      def deepWS(symbols=None, channels=None, on_data=None):

• book

      def book(symbol=None):

      def bookDF(symbol=None):

      def bookWS(symbols=None, on_data=None):

• trades

      def trades(symbol=None):

      def tradesDF(symbol=None):

      def tradesWS(symbols=None, on_data=None):

• systemEvent

      def systemEvent():

      def systemEventDF():

      def systemEventWS(on_data=None):

• tradingStatus

      def tradingStatus(symbol=None):

      def tradingStatusDF(symbol=None):

      def tradingStatusWS(symbols=None, on_data=None):

• opHaltStatus

      def opHaltStatus(symbol=None):

      def opHaltStatusDF(symbol=None):

      def opHaltStatusWS(symbols=None, on_data=None):

• ssr

      def ssrStatus(symbol=None):

      def ssrStatusDF(symbol=None):

      def ssrStatusWS(symbols=None, on_data=None):

• securityEvent

      def securityEvent(symbol=None):

      def securityEventDF(symbol=None):

      def securityEventWS(symbols=None, on_data=None):

• tradeBreak

      def tradeBreak(symbol=None):

      def tradeBreakDF(symbol=None):

      def tradeBreakWS(symbols=None, on_data=None):

• auction

      def auction(symbol=None):

      def auctionDF(symbol=None):

      def auctionWS(symbols=None, on_data=None):

• officialPrice

      def officialPrice(symbol=None):

      def officialPriceDF(symbol=None):

      def officialPriceWS(symbols=None, on_data=None):

• stats

      def stats():

      def statsDF():

• recent

      def recent():

      def recentDF():

• records

      def records():

      def recordsDF():

• summary

      def summary(date=None):

      def summaryDF(date=None):

• daily

      def daily(date=None, last=''):

      def dailyDF(date=None, last=''):

• markets

      def markets():

      def marketsDF():