yinanlll/financedata

Finance data retrieve library. A warp of yahoofinancials library for easy use.

FinanceData

Finance data retrieve library. A warp of yahoofinancials library for easy use. Thanks to yahoofinancials https://github.com/JECSand/yahoofinancials
Current Version: v1.0
Version Released: 4/10/2019
Third-Party Dependency: yahoofinancials, numpy, pandas
Report any bugs by opening an issue here: https://github.com/KaihuaHuang/FinanceData/issues

Methods

1. getPrice(ticker,startDate,endDate,dateAscending = True)

• Get the price series for single ticker
• ----Input----

ticker: ticker name for the stock
startDate: the start date of price series, the format is 'YYYY-MM-DD'
endDate: the end date of price series, the format is 'YYYY-MM-DD'
dateAscending: whether rank the price series by date ascending, the default value is true

• ----output----

price series for multiple stocks in pandas DataFrame format and use date as index

2. getPriceTable(tickerList,startDate,endDate,dateAscending = True)

• Get the price series for multiple tickers
• ----Input-----

tickerList: ticker name for multiple stocks
startDate: the start date of price series, the format is 'YYYY-MM-DD'
endDate: the end date of price series, the format is 'YYYY-MM-DD'
dateAscending: whether rank the price series by date ascending, the default value is true
localCheck: loading local csv file, check the existing data see whether we need to retrieve data from Yahoo. The local file should contain date as index.
update: whether to update local file

• ----output----

price series for single stock in pandas DataFrame format and use date as index

3. getDetailPriceInfo(ticker, startDate, endDate, columns = ['close','date'], dateAscending = True, frequency = 'D')

• Get the aggregated detailed price series for single ticker, including open, high, low, close, adj_close, volume
• ----Input-----

ticker: ticker name for single stocks
startDate: the start date of price series, the format is 'YYYY-MM-DD'
endDate: the end date of price series, the format is 'YYYY-MM-DD'
columns: the columns in the output DataFrame, the default columns are 'close' and 'date'
avalible columns: ['date','open','high','close','adj_close', 'low', 'volume']
dateAscending: whether rank the price series by date ascending, the default value is true
frequency: aggregate frequency, default value is 'D', also accept 'W' for week and 'M' for month

• ----output----

aggregated price series for single stock

4. getVol(ticker,window = 365)
5. getMarketCap(ticker)