make tuples smaller in backtesting loops
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@ -84,7 +84,8 @@ def backtest(stake_amount: float, processed: Dict[str, DataFrame],
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ticker = populate_sell_trend(populate_buy_trend(pair_data))
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ticker = populate_sell_trend(populate_buy_trend(pair_data))
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# for each buy point
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# for each buy point
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lock_pair_until = None
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lock_pair_until = None
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for row in ticker[ticker.buy == 1].itertuples(index=True):
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buy_subset = ticker[ticker.buy == 1][['buy', 'open', 'close', 'date', 'sell']]
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for row in buy_subset.itertuples(index=True):
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if realistic:
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if realistic:
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if lock_pair_until is not None and row.Index <= lock_pair_until:
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if lock_pair_until is not None and row.Index <= lock_pair_until:
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continue
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continue
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@ -106,7 +107,8 @@ def backtest(stake_amount: float, processed: Dict[str, DataFrame],
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)
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)
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# calculate win/lose forwards from buy point
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# calculate win/lose forwards from buy point
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for row2 in ticker[row.Index + 1:].itertuples(index=True):
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sell_subset = ticker[row.Index + 1:][['close', 'date', 'sell']]
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for row2 in sell_subset.itertuples(index=True):
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if max_open_trades > 0:
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if max_open_trades > 0:
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# Increase trade_count_lock for every iteration
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# Increase trade_count_lock for every iteration
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trade_count_lock[row2.date] = trade_count_lock.get(row2.date, 0) + 1
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trade_count_lock[row2.date] = trade_count_lock.get(row2.date, 0) + 1
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