<jupyter_start><jupyter_text>Symbols data<jupyter_code>pyEX.symbolsDF().head()
pyEX.symbolsList()[:10]<jupyter_output><empty_output><jupyter_text>Bulk data fetch<jupyter_code>%%time
# fetch 10 market data fields on all symbols
x = pyEX.bulkBatch(pyEX.symbolsList())
print(len(x))<jupyter_output>8744
CPU times: user 3.13 s, sys: 359 ms, total: 3.49 s
Wall time: 6.99 s<jupyter_text>Stock API<jupyter_code>symbol = 'AAPL'
pyEX.bookDF(symbol)
pyEX.chartDF(symbol, timeframe='1m').head()
pyEX.chartDF(symbol, timeframe='1d').head()
pyEX.companyDF(symbol)
#pyEX.collectionsDF('sector', 'Health Care').head()
pyEX.collectionsDF.head()
pyEX.cryptoDF().head()
pyEX.delayedQuoteDF(symbol)
pyEX.dividendsDF(symbol, timeframe='ytd')
pyEX.earningsDF(symbol)
pyEX.earningsTodayDF()
pyEX.spreadDF(symbol).head()
pyEX.financialsDF(symbol)
pyEX.ipoTodayDF()
pyEX.ipoUpcomingDF().head()
pyEX.thresholdDF(date=None)
pyEX.shortInterestDF(symbol, date=None)
pyEX.marketShortInterestDF(date=None)
pyEX.stockStatsDF(symbol)
pyEX.largestTradesDF(symbol).head()
pyEX.listDF(option='mostactive')
pyEX.logoNotebook(symbol)
pyEX.newsDF(symbol, count=10)
pyEX.marketNewsDF(count=10)
pyEX.ohlcDF(symbol)
pyEX.marketOhlcDF().head()
pyEX.peersDF(symbol)
pyEX.yesterdayDF(symbol)
pyEX.marketYesterdayDF().head()
pyEX.priceDF(symbol)
pyEX.quoteDF(symbol)
pyEX.relevantDF(symbol)
pyEX.sectorPerformanceDF()
pyEX.splitsDF(symbol, timeframe='5y')
pyEX.volumeByVenueDF(symbol)<jupyter_output><empty_output><jupyter_text>Reference Data<jupyter_code>pyEX.corporateActionsDF(date=None)
pyEX.dividendsDF(symbol)
pyEX.nextDayExtDateDF(date=None)
pyEX.directoryDF(date=None)<jupyter_output><empty_output><jupyter_text>Market Data<jupyter_code>pyEX.topsDF(symbols=None).head()
pyEX.lastDF(symbols=None).head()
pyEX.histDF(date=None).head()
pyEX.deepDF(symbol=None).head()
pyEX.topsBookDF(symbol).head()
pyEX.tradesDF(symbol)
pyEX.systemEventDF()
pyEX.tradingStatusDF(symbol)
pyEX.opHaltStatusDF(symbol)
pyEX.ssrStatusDF(symbol)
pyEX.securityEventDF(symbol)
pyEX.tradeBreakDF(symbol)
pyEX.auctionDF(symbol)
pyEX.officialPriceDF(symbol)<jupyter_output><empty_output><jupyter_text>Stats Data<jupyter_code>pyEX.statsDF()
pyEX.recentDF()
pyEX.recordsDF()
pyEX.summaryDF(date=None)
pyEX.dailyDF(date=None, last='')<jupyter_output><empty_output><jupyter_text>Markets Data<jupyter_code>pyEX.marketsDF()<jupyter_output><empty_output>
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