don't use print in plot_dataframe
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b1a01345f9
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6347161975
@ -67,7 +67,7 @@ def load_trades(db_url: str = None, exportfilename: str = None) -> pd.DataFrame:
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"open_rate", "close_rate", "duration"]
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"open_rate", "close_rate", "duration"]
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for x in Trade.query.all():
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for x in Trade.query.all():
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print("date: {}".format(x.open_date))
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logger.info("date: {}".format(x.open_date))
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trades = pd.DataFrame([(t.pair, t.calc_profit(),
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trades = pd.DataFrame([(t.pair, t.calc_profit(),
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t.open_date.replace(tzinfo=timeZone),
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t.open_date.replace(tzinfo=timeZone),
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@ -114,7 +114,6 @@ def get_trading_env(args: Namespace):
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# Load the configuration
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# Load the configuration
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_CONF.update(setup_configuration(args, RunMode.BACKTEST))
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_CONF.update(setup_configuration(args, RunMode.BACKTEST))
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print(_CONF)
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pairs = args.pairs.split(',')
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pairs = args.pairs.split(',')
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if pairs is None:
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if pairs is None:
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@ -161,7 +160,7 @@ def get_tickers_data(strategy, exchange, pairs: List[str], timerange: TimeRange,
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if data.empty:
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if data.empty:
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del tickers[pair]
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del tickers[pair]
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logger.info(
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logger.info(
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'An issue occured while retreiving datas of %s pair, please retry '
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'An issue occured while retreiving data of %s pair, please retry '
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'using -l option for live or --refresh-pairs-cached', pair)
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'using -l option for live or --refresh-pairs-cached', pair)
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return tickers
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return tickers
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@ -273,6 +272,7 @@ def plot_parse_args(args: List[str]) -> Namespace:
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arguments.backtesting_options(arguments.parser)
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arguments.backtesting_options(arguments.parser)
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return arguments.parse_args()
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return arguments.parse_args()
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def main(sysargv: List[str]) -> None:
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def main(sysargv: List[str]) -> None:
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"""
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"""
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This function will initiate the bot and start the trading loop.
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This function will initiate the bot and start the trading loop.
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