:Merge branch 'develop' into add-metric-tracker
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commit
9135e631c0
@ -919,11 +919,10 @@ class Backtesting:
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return trade
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def handle_left_open(self, open_trades: Dict[str, List[LocalTrade]],
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data: Dict[str, List[Tuple]]) -> List[LocalTrade]:
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data: Dict[str, List[Tuple]]) -> None:
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"""
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Handling of left open trades at the end of backtesting
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"""
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trades = []
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for pair in open_trades.keys():
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if len(open_trades[pair]) > 0:
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for trade in open_trades[pair]:
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@ -938,11 +937,6 @@ class Backtesting:
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trade.exit_reason = ExitType.FORCE_EXIT.value
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trade.close(exit_row[OPEN_IDX], show_msg=False)
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LocalTrade.close_bt_trade(trade)
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# Deepcopy object to have wallets update correctly
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trade1 = deepcopy(trade)
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trade1.is_open = True
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trades.append(trade1)
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return trades
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def trade_slot_available(self, max_open_trades: int, open_trade_count: int) -> bool:
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# Always allow trades when max_open_trades is enabled.
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@ -1094,7 +1088,6 @@ class Backtesting:
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:param enable_protections: Should protections be enabled?
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:return: DataFrame with trades (results of backtesting)
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"""
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trades: List[LocalTrade] = []
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self.prepare_backtest(enable_protections)
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# Ensure wallets are uptodate (important for --strategy-list)
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self.wallets.update()
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@ -1188,7 +1181,6 @@ class Backtesting:
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open_trade_count -= 1
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open_trades[pair].remove(trade)
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LocalTrade.close_bt_trade(trade)
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trades.append(trade)
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self.wallets.update()
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self.run_protections(
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enable_protections, pair, current_time, trade.trade_direction)
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@ -1197,10 +1189,10 @@ class Backtesting:
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self.progress.increment()
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current_time += timedelta(minutes=self.timeframe_min)
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trades += self.handle_left_open(open_trades, data=data)
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self.handle_left_open(open_trades, data=data)
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self.wallets.update()
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results = trade_list_to_dataframe(trades)
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results = trade_list_to_dataframe(LocalTrade.trades)
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return {
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'results': results,
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'config': self.strategy.config,
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@ -408,10 +408,10 @@ def generate_strategy_stats(pairlist: List[str],
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exit_reason_stats = generate_exit_reason_stats(max_open_trades=max_open_trades,
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results=results)
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left_open_results = generate_pair_metrics(pairlist, stake_currency=stake_currency,
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starting_balance=start_balance,
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results=results.loc[results['is_open']],
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skip_nan=True)
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left_open_results = generate_pair_metrics(
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pairlist, stake_currency=stake_currency, starting_balance=start_balance,
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results=results.loc[results['exit_reason'] == 'force_exit'], skip_nan=True)
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daily_stats = generate_daily_stats(results)
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trade_stats = generate_trading_stats(results)
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best_pair = max([pair for pair in pair_results if pair['key'] != 'TOTAL'],
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@ -55,6 +55,7 @@ def test_extract_data_and_train_model_Standard(mocker, freqai_conf, model):
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data_load_timerange = TimeRange.parse_timerange("20180125-20180130")
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new_timerange = TimeRange.parse_timerange("20180127-20180130")
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freqai.dk.set_paths('ADA/BTC', None)
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freqai.train_timer("start", "ADA/BTC")
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freqai.extract_data_and_train_model(
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@ -99,6 +100,7 @@ def test_extract_data_and_train_model_MultiTargets(mocker, freqai_conf, model):
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data_load_timerange = TimeRange.parse_timerange("20180110-20180130")
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new_timerange = TimeRange.parse_timerange("20180120-20180130")
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freqai.dk.set_paths('ADA/BTC', None)
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freqai.extract_data_and_train_model(
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new_timerange, "ADA/BTC", strategy, freqai.dk, data_load_timerange)
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@ -140,6 +142,7 @@ def test_extract_data_and_train_model_Classifiers(mocker, freqai_conf, model):
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data_load_timerange = TimeRange.parse_timerange("20180110-20180130")
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new_timerange = TimeRange.parse_timerange("20180120-20180130")
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freqai.dk.set_paths('ADA/BTC', None)
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freqai.extract_data_and_train_model(new_timerange, "ADA/BTC",
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strategy, freqai.dk, data_load_timerange)
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