Create market_simulator.py

market_simulator.py

@@ -0,0 +1,15 @@
+class MarketSimulator:
+    def __init__(self, initial_balance=100.0):
+        self.balance = initial_balance
+
+    def simulate(self, data, predictor):
+        for i in range(len(data) - 1):
+            current_data = data.iloc[:i+1]
+            next_price, confidence = predictor.predict_next_price(current_data)
+
+            if confidence > 70:
+                self.balance -= 1
+                if next_price > current_data['Close'].iloc[-1]:
+                    self.balance += 2  # Gain $1 for each successful prediction
+
+        return self.balance