add --plot-limit
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f506ebcd62
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5055563458
@ -104,19 +104,20 @@ def plot_analyzed_dataframe(args: Namespace) -> None:
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if tickers == {}:
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exit()
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if args.db_url and args.exportfilename:
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logger.critical("Can only specify --db-url or --export-filename")
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# Get trades already made from the DB
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trades: pd.DataFrame = pd.DataFrame()
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if args.db_url:
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persistence.init(_CONF)
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trades_ = Trade.query.filter(Trade.pair.is_(pair)).all()
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# columns = ["pair", "profit", "opents", "closets", "index", "duration"]
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columns = ["pair", "profit", "opents", "closets", "open_rate", "close_rate", "duration"]
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trades = pd.DataFrame([(t.pair, t.calc_profit(),
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t.open_date, t.close_date,
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t.open_rate, t.close_rate,
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t.close_date.timestamp() - t.open_date.timestamp())
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for t in trades_], columns=columns)
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for t in Trade.query.filter(Trade.pair.is_(pair)).all()],
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columns=columns)
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if args.exportfilename:
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file = Path(args.exportfilename)
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@ -147,13 +148,15 @@ def plot_analyzed_dataframe(args: Namespace) -> None:
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dataframe = analyze.populate_buy_trend(dataframe)
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dataframe = analyze.populate_sell_trend(dataframe)
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if len(dataframe.index) > 750:
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logger.warning('Ticker contained more than 750 candles, clipping.')
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if len(dataframe.index) > args.plot_limit:
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logger.warning('Ticker contained more than %s candles as defined '
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'with --plot-limit, clipping.', args.plot_limit)
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dataframe = dataframe.tail(args.plot_limit)
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trades = trades.loc[trades['opents'] >= dataframe.iloc[0]['date']]
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fig = generate_graph(
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pair=pair,
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trades=trades,
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data=dataframe.tail(750),
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data=dataframe,
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args=args
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)
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@ -333,11 +336,17 @@ def plot_parse_args(args: List[str]) -> Namespace:
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default='macd',
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dest='indicators2',
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)
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arguments.parser.add_argument(
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'--plot-limit',
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help='Specify tick limit for plotting - too high values cause huge files - '
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'Default: %(default)s',
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dest='plot_limit',
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default=750,
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type=str,
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)
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arguments.common_args_parser()
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arguments.optimizer_shared_options(arguments.parser)
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arguments.backtesting_options(arguments.parser)
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return arguments.parse_args()
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