plot_profit uses --timerange flag
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@ -41,7 +41,9 @@ def make_profit_array(data, px, filter_pairs=[]):
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profit = trade[1]
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tim = trade[4]
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dur = trade[5]
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pg[tim+dur-1] += profit
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ix = tim + dur - 1
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if ix < px:
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pg[ix] += profit
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# rewrite the pg array to go from
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# total profits at each timeframe
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@ -76,9 +78,11 @@ def plot_profit(args) -> None:
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pairs = list(set(pairs) & set(filter_pairs))
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print('Filter, keep pairs %s' % pairs)
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timerange = misc.parse_timerange(args.timerange)
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tickers = optimize.load_data(args.datadir, pairs=pairs,
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ticker_interval=args.ticker_interval,
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refresh_pairs=False)
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refresh_pairs=False,
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timerange=timerange)
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dataframes = optimize.preprocess(tickers)
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# Make an average close price of all the pairs that was involved.
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