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