def start(self):
DataBase.start(self)
self.interval = self.store.get_interval(self.p.timeframe, self.p.compression)
if self.interval is None:
self._state = self._ST_OVER
self.put_notification(self.NOTSUPPORTED_TF)
return
self.symbol_info = self.store.get_symbol_info(self.p.dataname)
if self.symbol_info is None:
self._state = self._ST_OVER
self.put_notification(self.NOTSUBSCRIBED)
return
if self.p.fromdate:
self._state = self._ST_HISTORBACK
self.put_notification(self.DELAYED)
klines = self.store.binance.get_historical_klines(
self.symbol_info['symbol'],
self.interval,
self.p.fromdate.strftime('%d %b %Y %H:%M:%S'))
if self.p.drop_newest:
klines.pop()
df = pd.DataFrame(klines)
df.drop(df.columns[[6, 7, 8, 9, 10, 11]], axis=1, inplace=True) # Remove unnecessary columns
df = self._parser_dataframe(df)
self._data.extend(df.values.tolist())
else:
self._start_live()
def start(self, ):
DataBase.start(self)
if self.p.fromdate:
self._state = self._ST_HISTORBACK
self.put_notification(self.DELAYED)
self._fetch_ohlcv(self.p.fromdate)
else:
self._state = self._ST_LIVE
self.put_notification(self.LIVE)
def start(self):
DataBase.start(self)
self._state = self._ST_LIVE