Example #1
0
    def get_data_vendor(self, source):
        """Loads appropriate data service class

        Parameters
        ----------
        source : str
            the data service to use "bloomberg", "quandl", "yahoo", "google", "fred" etc.
            we can also have forms like "bloomberg-boe" separated by hyphens

        Returns
        -------
        DataVendor
        """

        data_vendor = None

        try:
            source = source.split("-")[0]
        except:
            self.logger.error("Was data source specified?")

            return None

        if source == 'bloomberg':
            from findatapy.market.datavendorbbg import DataVendorBBGOpen
            data_vendor = DataVendorBBGOpen()

        elif source == 'quandl':
            from findatapy.market.datavendorweb import DataVendorQuandl
            data_vendor = DataVendorQuandl()

        elif source == 'ons':
            from findatapy.market.datavendorweb import DataVendorONS
            data_vendor = DataVendorONS()

        elif source == 'boe':
            from findatapy.market.datavendorweb import DataVendorBOE
            data_vendor = DataVendorBOE()

        elif source == 'dukascopy':
            from findatapy.market.datavendorweb import DataVendorDukasCopy
            data_vendor = DataVendorDukasCopy()

        elif source == 'fxcm':
            from findatapy.market.datavendorweb import DataVendorFXCM
            data_vendor = DataVendorFXCM()

        elif source == 'alfred':
            from findatapy.market.datavendorweb import DataVendorALFRED
            data_vendor = DataVendorALFRED()

        elif source in [
                'yahoo', 'google', 'fred', 'oecd', 'eurostat', 'edgar-index'
        ]:
            from findatapy.market.datavendorweb import DataVendorPandasWeb
            data_vendor = DataVendorPandasWeb()

        # TODO add support for other data sources (like Reuters)

        return data_vendor
Example #2
0
    def get_data_vendor(self, source):
        """Loads appropriate data service class

        Parameters
        ----------
        source : str
            the data service to use "bloomberg", "quandl", "yahoo", "google", "fred" etc.
            we can also have forms like "bloomberg-boe" separated by hyphens

        Returns
        -------
        DataVendor
        """

        data_vendor = None

        try:
            source = source.split("-")[0]
        except:
            self.logger.error("Was data source specified?")

            return None

        if source == 'bloomberg':
            try:
                from findatapy.market.datavendorbbg import DataVendorBBGOpen
                data_vendor = DataVendorBBGOpen()
            except:
                self.logger.warn("Bloomberg needs to be installed")

        elif source == 'quandl':
            from findatapy.market.datavendorweb import DataVendorQuandl
            data_vendor = DataVendorQuandl()

        elif source == 'ons':
            from findatapy.market.datavendorweb import DataVendorONS
            data_vendor = DataVendorONS()

        elif source == 'boe':
            from findatapy.market.datavendorweb import DataVendorBOE
            data_vendor = DataVendorBOE()

        elif source == 'dukascopy':
            from findatapy.market.datavendorweb import DataVendorDukasCopy
            data_vendor = DataVendorDukasCopy()

        elif source == 'fxcm':
            from findatapy.market.datavendorweb import DataVendorFXCM
            data_vendor = DataVendorFXCM()

        elif source == 'alfred':
            from findatapy.market.datavendorweb import DataVendorALFRED
            data_vendor = DataVendorALFRED()

        elif source == 'yahoo':
            from findatapy.market.datavendorweb import DataVendorYahoo
            data_vendor = DataVendorYahoo()

        elif source in ['google', 'fred', 'oecd', 'eurostat', 'edgar-index']:
            from findatapy.market.datavendorweb import DataVendorPandasWeb
            data_vendor = DataVendorPandasWeb()

        elif source == 'bitcoincharts':
            from findatapy.market.datavendorweb import DataVendorBitcoincharts
            data_vendor = DataVendorBitcoincharts()
        elif source == 'poloniex':
            from findatapy.market.datavendorweb import DataVendorPoloniex
            data_vendor = DataVendorPoloniex()
        elif source == 'binance':
            from findatapy.market.datavendorweb import DataVendorBinance
            data_vendor = DataVendorBinance()
        elif source == 'bitfinex':
            from findatapy.market.datavendorweb import DataVendorBitfinex
            data_vendor = DataVendorBitfinex()
        elif source == 'gdax':
            from findatapy.market.datavendorweb import DataVendorGdax
            data_vendor = DataVendorGdax()
        elif source == 'kraken':
            from findatapy.market.datavendorweb import DataVendorKraken
            data_vendor = DataVendorKraken()
        elif source == 'bitmex':
            from findatapy.market.datavendorweb import DataVendorBitmex
            data_vendor = DataVendorBitmex()
        elif '.csv' in source or '.h5' in source:
            from findatapy.market.datavendorweb import DataVendorFlatFile
            data_vendor = DataVendorFlatFile()
        elif source == 'alphavantage':
            from findatapy.market.datavendorweb import DataVendorAlphaVantage
            data_vendor = DataVendorAlphaVantage()
        elif source == 'huobi':
            from findatapy.market.datavendorweb import DataVendorHuobi
            data_vendor = DataVendorHuobi()

        # TODO add support for other data sources (like Reuters)

        return data_vendor
    def get_data_vendor(self, md_request):
        """Loads appropriate data vendor class

        Parameters
        ----------
        md_request : MarketDataRequest
            the data_source to use "bloomberg", "quandl", "yahoo", "google",
            "fred" etc. we can also have forms like "bloomberg-boe" separated
            by hyphens

        Returns
        -------
        DataVendor
        """
        logger = LoggerManager().getLogger(__name__)

        data_source = md_request.data_source
        data_engine = md_request.data_engine

        # Special case for files (csv, h5, parquet or zip)
        if ".csv" in str(data_source) or ".h5" in str(data_source) or \
                ".parquet" in str(data_source) or ".zip" in str(data_source) \
                or data_engine is not None:
            from findatapy.market.datavendorweb import DataVendorFlatFile
            data_vendor = DataVendorFlatFile()
        else:
            try:
                data_source = data_source.split("-")[0]
            except:
                logger.error("Was data data_source specified?")

                return None

            if data_source == "bloomberg":
                try:
                    from findatapy.market.datavendorbbg import \
                        DataVendorBBGOpen
                    data_vendor = DataVendorBBGOpen()
                except:
                    logger.warn("Bloomberg needs to be installed")

            elif data_source == "quandl":
                from findatapy.market.datavendorweb import DataVendorQuandl
                data_vendor = DataVendorQuandl()

            elif data_source == "eikon":
                from findatapy.market.datavendorweb import DataVendorEikon
                data_vendor = DataVendorEikon()

            elif data_source == "ons":
                from findatapy.market.datavendorweb import DataVendorONS
                data_vendor = DataVendorONS()

            elif data_source == "boe":
                from findatapy.market.datavendorweb import DataVendorBOE
                data_vendor = DataVendorBOE()

            elif data_source == "dukascopy":
                from findatapy.market.datavendorweb import DataVendorDukasCopy
                data_vendor = DataVendorDukasCopy()

            elif data_source == "fxcm":
                from findatapy.market.datavendorweb import DataVendorFXCM
                data_vendor = DataVendorFXCM()

            elif data_source == "alfred":
                from findatapy.market.datavendorweb import DataVendorALFRED
                data_vendor = DataVendorALFRED()

            elif data_source == "yahoo":
                from findatapy.market.datavendorweb import DataVendorYahoo
                data_vendor = DataVendorYahoo()

            elif data_source in ["google", "fred", "oecd", "eurostat",
                                 "edgar-index"]:
                from findatapy.market.datavendorweb import DataVendorPandasWeb
                data_vendor = DataVendorPandasWeb()

            elif data_source == "bitcoincharts":
                from findatapy.market.datavendorweb import \
                    DataVendorBitcoincharts
                data_vendor = DataVendorBitcoincharts()
            elif data_source == "poloniex":
                from findatapy.market.datavendorweb import DataVendorPoloniex
                data_vendor = DataVendorPoloniex()
            elif data_source == "binance":
                from findatapy.market.datavendorweb import DataVendorBinance
                data_vendor = DataVendorBinance()
            elif data_source == "bitfinex":
                from findatapy.market.datavendorweb import DataVendorBitfinex
                data_vendor = DataVendorBitfinex()
            elif data_source == "gdax":
                from findatapy.market.datavendorweb import DataVendorGdax
                data_vendor = DataVendorGdax()
            elif data_source == "kraken":
                from findatapy.market.datavendorweb import DataVendorKraken
                data_vendor = DataVendorKraken()
            elif data_source == "bitmex":
                from findatapy.market.datavendorweb import DataVendorBitmex
                data_vendor = DataVendorBitmex()
            elif data_source == "alphavantage":
                from findatapy.market.datavendorweb import \
                    DataVendorAlphaVantage
                data_vendor = DataVendorAlphaVantage()
            elif data_source == "huobi":
                from findatapy.market.datavendorweb import DataVendorHuobi
                data_vendor = DataVendorHuobi()
            elif data_source in self._data_vendor_dict:
                data_vendor = self._data_vendor_dict[data_source]
            else:
                logger.warn(str(data_source) +
                            " is an unrecognized data source")

        return data_vendor
Example #4
0
    def get_data_vendor(self, md_request):
        """Loads appropriate data service class

        Parameters
        ----------
        md_request : MarketDataRequest
            the data_source to use "bloomberg", "quandl", "yahoo", "google", "fred" etc.
            we can also have forms like "bloomberg-boe" separated by hyphens

        Returns
        -------
        DataVendor
        """
        logger = LoggerManager().getLogger(__name__)

        data_source = md_request.data_source
        data_engine = md_request.data_engine

        # Special case for files (csv, h5, parquet or zip)
        if '.csv' in str(data_source) or '.h5' in str(data_source) or '.parquet' in str(data_source) or '.zip' in str(data_source) \
                or data_engine is not None:
            from findatapy.market.datavendorweb import DataVendorFlatFile
            data_vendor = DataVendorFlatFile()
        else:
            try:
                data_source = data_source.split("-")[0]
            except:
                logger.error("Was data data_source specified?")

                return None

            if data_source == 'bloomberg':
                try:
                    from findatapy.market.datavendorbbg import DataVendorBBGOpen
                    data_vendor = DataVendorBBGOpen()
                except:
                    logger.warn("Bloomberg needs to be installed")

            elif data_source == 'quandl':
                from findatapy.market.datavendorweb import DataVendorQuandl
                data_vendor = DataVendorQuandl()

            elif data_source == 'eikon':
                from findatapy.market.datavendorweb import DataVendorEikon
                data_vendor = DataVendorEikon()

            elif data_source == 'ons':
                from findatapy.market.datavendorweb import DataVendorONS
                data_vendor = DataVendorONS()

            elif data_source == 'boe':
                from findatapy.market.datavendorweb import DataVendorBOE
                data_vendor = DataVendorBOE()

            elif data_source == 'dukascopy':
                from findatapy.market.datavendorweb  import DataVendorDukasCopy
                data_vendor = DataVendorDukasCopy()

            elif data_source == 'fxcm':
                from findatapy.market.datavendorweb  import DataVendorFXCM
                data_vendor = DataVendorFXCM()

            elif data_source == 'alfred':
                from findatapy.market.datavendorweb  import DataVendorALFRED
                data_vendor = DataVendorALFRED()

            elif data_source == 'yahoo':
                from findatapy.market.datavendorweb  import DataVendorYahoo
                data_vendor = DataVendorYahoo()

            elif data_source in ['google', 'fred', 'oecd', 'eurostat', 'edgar-index']:
                from findatapy.market.datavendorweb  import DataVendorPandasWeb
                data_vendor = DataVendorPandasWeb()

            elif data_source == 'bitcoincharts':
                from findatapy.market.datavendorweb import DataVendorBitcoincharts
                data_vendor = DataVendorBitcoincharts()
            elif data_source == 'poloniex':
                from findatapy.market.datavendorweb import DataVendorPoloniex
                data_vendor = DataVendorPoloniex()
            elif data_source == 'binance':
                from findatapy.market.datavendorweb import DataVendorBinance
                data_vendor = DataVendorBinance()
            elif data_source == 'bitfinex':
                from findatapy.market.datavendorweb import DataVendorBitfinex
                data_vendor = DataVendorBitfinex()
            elif data_source == 'gdax':
                from findatapy.market.datavendorweb import DataVendorGdax
                data_vendor = DataVendorGdax()
            elif data_source == 'kraken':
                from findatapy.market.datavendorweb import DataVendorKraken
                data_vendor = DataVendorKraken()
            elif data_source == 'bitmex':
                from findatapy.market.datavendorweb import DataVendorBitmex
                data_vendor = DataVendorBitmex()
            elif data_source == 'alphavantage':
                from findatapy.market.datavendorweb import DataVendorAlphaVantage
                data_vendor = DataVendorAlphaVantage()
            elif data_source == 'huobi':
                from findatapy.market.datavendorweb import DataVendorHuobi
                data_vendor = DataVendorHuobi()

        # TODO add support for other data sources (like Reuters)

        return data_vendor