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fmp-python · PyPI

Python module to get stock data from the Financial Modeling Prep API

This library requires you to have an account with Financial Modeling Prep (sign up here)

You can install the package:

• Using pip:

pip install fmp_python

• From the source:

git clone https://github.com/ikbale/fmp_python.git

pip install -e fmp_python

To get data from the API:

• import the library and call the object with your API key:

from fmp_python.fmp import FMP

fmp = FMP(api_key='YOUR_API_KEY')
fmp.get_quote('AAL')

• Or, you can store it in the environment variable FMP_API_KEY

from fmp_python.fmp import FMP

fmp = FMP(output_format='pandas', write_to_file=True)
fmp.get_quote('AAL')

You can choose which output format you want your data output_format = 'pandas' or 'json'.

'json' is the default value

You can also choose if you want the output to be stored in a file (in C:/tmp) by setting write_to_file = True

'False' is the default value

Reference: https://financialmodelingprep.com/developer/docs/#Company-Quote

fmp.get_quote(symbol: str)

Usage Example

fmp = FMP(output_format = 'pandas', write_to_file= True)
fmp.get_quote('AAL')

Reference: https://financialmodelingprep.com/developer/docs/#Stock-Price

fmp.get_quote_short(symbol: str)

Usage Example

fmp = FMP(output_format = 'pandas', write_to_file= True)
fmp.quote_short('AAL')

Reference: https://financialmodelingprep.com/developer/docs/#Stock-Historical-Price

fmp.get_historical_chart(interval:str, symbol: str)

Usage Example

fmp = FMP(output_format = 'pandas', write_to_file= True)
fmp.get_historical_chart('5min','AAL')

Reference: https://financialmodelingprep.com/developer/docs/#Most-of-the-majors-indexes-(Dow-Jones,-Nasdaq,-S&P-500)

fmp.get_index_quote(symbol: str)

Usage Example

fmp = FMP(output_format = 'pandas', write_to_file= True)
fmp.get_index_quote('GSPC')

Reference: https://financialmodelingprep.com/developer/docs/#Historical-stock-index-prices

• By timelapse:

fmp.get_historical_chart_index(interval:str,symbol: str)

Usage Example

fmp = FMP(output_format = 'pandas', write_to_file= True)
fmp.get_historical_chart_index('5min', GSPC')

• Daily:

fmp.get_historical_price(symbol: str)

Usage Example

fmp = FMP(output_format = 'pandas', write_to_file= True)
fmp.get_historical_price('GSPC')

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