update

Author: bob7783

tf2.0/keras_trader.py

@@ -184,13 +184,13 @@ def step(self, action):
     # get current value before performing the action
     prev_val = self._get_val()
 
+    # perform the trade
+    self._trade(action)
+
     # update price, i.e. go to the next day
     self.cur_step += 1
     self.stock_price = self.stock_price_history[self.cur_step]
 
-    # perform the trade
-    self._trade(action)
-
     # get the new value after taking the action
     cur_val = self._get_val()
 

tf2.0/mlp_trader.py

@@ -165,13 +165,13 @@ def step(self, action):
     # get current value before performing the action
     prev_val = self._get_val()
 
+    # perform the trade
+    self._trade(action)
+
     # update price, i.e. go to the next day
     self.cur_step += 1
     self.stock_price = self.stock_price_history[self.cur_step]
 
-    # perform the trade
-    self._trade(action)
-
     # get the new value after taking the action
     cur_val = self._get_val()
 

tf2.0/rl_trader.py

@@ -177,13 +177,13 @@ def step(self, action):
     # get current value before performing the action
     prev_val = self._get_val()
 
+    # perform the trade
+    self._trade(action)
+
     # update price, i.e. go to the next day
     self.cur_step += 1
     self.stock_price = self.stock_price_history[self.cur_step]
 
-    # perform the trade
-    self._trade(action)
-
     # get the new value after taking the action
     cur_val = self._get_val()
 
@@ -411,4 +411,4 @@ def play_one_episode(agent, env, is_train):
 
 
   # save portfolio value for each episode
-  np.save(f'{rewards_folder}/{args.mode}.npy', portfolio_value)
+  np.save(f'{rewards_folder}/{args.mode}.npy', portfolio_value)