Update app.py

app.py

@@ -20,8 +20,10 @@ else:
     st.error("Data harga penutupan tidak ditemukan.")
     return None
 
-def calculate_returns(data): log_returns = np.log(data / data.shift(1)) return log_returns.mean() * 252, log_returns.cov() * 252
-
+def calculate_returns(data): 
+    log_returns = np.log(data / data.shift(1))  
+    return log_returns.mean() * 252, log_returns.cov() * 252
+    
 def optimize_portfolio(returns, cov_matrix): num_assets = len(returns)
 
 def sharpe_ratio(weights):