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fix bugs of random strategy
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@@ -51,7 +51,7 @@ def collect_data_loop(start_time, end_time, trade_strategy: BaseStrategy, trade_
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while not trade_executor.finished():
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_trade_decision: BaseTradeDecision = trade_strategy.generate_trade_decision(_execute_result)
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_execute_result = yield from trade_executor.collect_data(_trade_decision)
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bar.update(trade_executor.trade_calendar.get_trade_step())
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bar.update(1)
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if return_value is not None:
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all_executors = trade_executor.get_all_executors()
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@@ -635,6 +635,7 @@ class RandomOrderStrategy(BaseStrategy):
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self.volume_ratio = volume_ratio
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self.market = market
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exch: Exchange = self.common_infra.get("trade_exchange")
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# TODO: this can't be online
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self.volume = D.features(D.instruments(market), ["Mean(Ref($volume, 1), 10)"], start_time=exch.start_time, end_time=exch.end_time)
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self.volume_df = self.volume.iloc[:, 0].unstack()
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@@ -644,13 +645,14 @@ class RandomOrderStrategy(BaseStrategy):
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order_list = []
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for direction in Order.SELL, Order.BUY:
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for stock_id, volume in self.volume_df[step_time_start].dropna().sample(frac=self.sample_ratio).items():
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order_list.append(
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self.common_infra.get("trade_exchange").create_order(
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code=stock_id,
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amount=volume * self.volume_ratio,
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start_time=step_time_start,
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end_time=step_time_end,
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direction=direction, # 1 for buy
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))
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if step_time_start in self.volume_df:
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for stock_id, volume in self.volume_df[step_time_start].dropna().sample(frac=self.sample_ratio).items():
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order_list.append(
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self.common_infra.get("trade_exchange").create_order(
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code=stock_id,
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amount=volume * self.volume_ratio,
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start_time=step_time_start,
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end_time=step_time_end,
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direction=direction, # 1 for buy
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))
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return TradeDecisionWO(order_list, self)
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