Create price_stabilization.py

Author: KOSASIH

src/price_stabilization.py

@@ -0,0 +1,29 @@
+import numpy as np
+from sklearn.linear_model import LinearRegression
+
+class PriceStabilization:
+    def __init__(self):
+        self.model = LinearRegression()
+        self.history = []
+
+    def update_price_history(self, price):
+        self.history.append(price)
+        if len(self.history) > 100:  # Keep only the last 100 prices
+            self.history.pop(0)
+
+    def predict_price(self):
+        if len(self.history) < 2:
+            return self.history[-1] if self.history else 0
+        X = np.array(range(len(self.history))).reshape(-1, 1)
+        y = np.array(self.history)
+        self.model.fit(X, y)
+        return self.model.predict([[len(self.history)]])[0]
+
+    def adjust_supply(self, current_price, target_price):
+        if current_price < target_price:
+            # Logic to increase supply
+            return "Increase supply"
+        elif current_price > target_price:
+            # Logic to decrease supply
+            return "Decrease supply"
+        return "Maintain supply"