use .copy() to avoid Pandas mistake. drop first row because of shifting
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@ -161,11 +161,15 @@ class Backtesting(object):
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for pair, pair_data in processed.items():
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pair_data['buy'], pair_data['sell'] = 0, 0 # cleanup from previous run
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ticker_data = self.populate_sell_trend(self.populate_buy_trend(pair_data))[headers]
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ticker_data = self.populate_sell_trend(
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self.populate_buy_trend(pair_data))[headers].copy()
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# to avoid using data from future, we buy/sell with signal from previous candle
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ticker_data.loc[:, 'buy'] = ticker_data['buy'].shift(1)
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ticker_data.loc[:, 'sell'] = ticker_data['sell'].shift(1)
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ticker_data.drop(ticker_data.head(1).index, inplace=True)
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# to avoid using data from future, we buy/sell with signal from previous candle, not current
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ticker_data.buy = ticker_data.buy.shift(1)
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ticker_data.sell = ticker_data.sell.shift(1)
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ticker = [x for x in ticker_data.itertuples()]
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lock_pair_until = None
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@ -30,7 +30,7 @@ def trim_dictlist(dict_list, num):
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def load_data_test(what):
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timerange = TimeRange(None, 'line', 0, -100)
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timerange = TimeRange(None, 'line', 0, -101)
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data = optimize.load_data(None, ticker_interval='1m',
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pairs=['UNITTEST/BTC'], timerange=timerange)
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pair = data['UNITTEST/BTC']
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@ -110,14 +110,14 @@ def mocked_load_data(datadir, pairs=[], ticker_interval='0m', refresh_pairs=Fals
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# use for mock freqtrade.exchange.get_ticker_history'
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def _load_pair_as_ticks(pair, tickfreq):
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ticks = optimize.load_data(None, ticker_interval=tickfreq, pairs=[pair])
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ticks = trim_dictlist(ticks, -200)
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ticks = trim_dictlist(ticks, -201)
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return ticks[pair]
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# FIX: fixturize this?
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def _make_backtest_conf(mocker, conf=None, pair='UNITTEST/BTC', record=None):
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data = optimize.load_data(None, ticker_interval='8m', pairs=[pair])
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data = trim_dictlist(data, -200)
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data = trim_dictlist(data, -201)
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mocker.patch('freqtrade.exchange.validate_pairs', MagicMock(return_value=True))
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backtesting = Backtesting(conf)
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return {
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