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action fix
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@ -72,11 +72,9 @@ class ReinforcementLearningTDQN(BaseReinforcementLearningModel):
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class Actions(Enum):
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Neutral = 0
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Long_buy = 1
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Long_sell = 2
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Short_buy = 3
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Short_sell = 4
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Short = 0
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Long = 1
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Neutral = 2
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class Positions(Enum):
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@ -181,36 +179,31 @@ class MyRLEnv(BaseRLEnv):
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self.total_reward += step_reward
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trade_type = None
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if self.is_tradesignal(action): # exclude 3 case not trade
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if self.is_tradesignal(action): # exclude 3 case not trade
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# Update position
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"""
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Action: Neutral, position: Long -> Close Long
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Action: Neutral, position: Short -> Close Short
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Action: Long, position: Neutral -> Open Long
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Action: Neutral, position: Long -> Close Long
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Action: Neutral, position: Short -> Close Short
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Action: Long, position: Neutral -> Open Long
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Action: Long, position: Short -> Close Short and Open Long
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Action: Short, position: Neutral -> Open Short
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Action: Short, position: Neutral -> Open Short
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Action: Short, position: Long -> Close Long and Open Short
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"""
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temp_position = self._position
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if action == Actions.Neutral.value:
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self._position = Positions.Neutral
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trade_type = "neutral"
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elif action == Actions.Long_buy.value:
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elif action == Actions.Long.value:
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self._position = Positions.Long
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trade_type = "long"
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elif action == Actions.Short_buy.value:
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elif action == Actions.Short.value:
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self._position = Positions.Short
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trade_type = "short"
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elif action == Actions.Long_sell.value:
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self._position = Positions.Neutral
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trade_type = "neutral"
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elif action == Actions.Short_sell.value:
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self._position = Positions.Neutral
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trade_type = "neutral"
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else:
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print("case not defined")
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print("case not define")
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# Update last trade tick
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self._last_trade_tick = self._current_tick
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@ -257,33 +250,23 @@ class MyRLEnv(BaseRLEnv):
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return 0.
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def is_tradesignal(self, action):
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# trade signal
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# trade signal
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"""
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not trade signal is :
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Action: Neutral, position: Neutral -> Nothing
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Action: Neutral, position: Neutral -> Nothing
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Action: Long, position: Long -> Hold Long
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Action: Short, position: Short -> Hold Short
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"""
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return not ((action == Actions.Neutral.value and self._position == Positions.Neutral) or
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(action == Actions.Short_buy.value and self._position == Positions.Short) or
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(action == Actions.Short_sell.value and self._position == Positions.Short) or
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(action == Actions.Short_buy.value and self._position == Positions.Long) or
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(action == Actions.Short_sell.value and self._position == Positions.Long) or
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return not ((action == Actions.Neutral.value and self._position == Positions.Neutral)
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or (action == Actions.Short.value and self._position == Positions.Short)
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or (action == Actions.Long.value and self._position == Positions.Long))
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(action == Actions.Long_buy.value and self._position == Positions.Long) or
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(action == Actions.Long_sell.value and self._position == Positions.Long) or
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(action == Actions.Long_buy.value and self._position == Positions.Short) or
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(action == Actions.Long_sell.value and self._position == Positions.Short))
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def _is_trade(self, action):
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return ((action == Actions.Long_buy.value and self._position == Positions.Short) or
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(action == Actions.Short_buy.value and self._position == Positions.Long) or
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(action == Actions.Neutral.value and self._position == Positions.Long) or
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(action == Actions.Neutral.value and self._position == Positions.Short) or
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(action == Actions.Neutral.Short_sell and self._position == Positions.Long) or
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(action == Actions.Neutral.Long_sell and self._position == Positions.Short)
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)
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def _is_trade(self, action: Actions):
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return ((action == Actions.Long.value and self._position == Positions.Short) or
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(action == Actions.Short.value and self._position == Positions.Long) or
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(action == Actions.Neutral.value and self._position == Positions.Long) or
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(action == Actions.Neutral.value and self._position == Positions.Short)
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)
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def is_hold(self, action):
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return ((action == Actions.Short.value and self._position == Positions.Short)
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