Update app.py

app.py

@@ -573,15 +573,23 @@ def explore_data():
                         """)
                         
                         fig = go.Figure()
-                        fig.add_trace(go.Scatter(x=data.index, y=data['Close'], mode='lines', name='Close'))
-                        
-                        fig.update_layout(title=f"{company_name} Stock Price History",
-                                          xaxis_title="Date",
-                                          yaxis_title="Price",
-                                          hovermode="x unified",
-                                          template="plotly_dark")
-                        st.plotly_chart(fig, use_container_width=True)
-
+                    fig.add_trace(go.Scatter(x=data.index, y=data['Open'], mode='lines', name='Open'))
+                    fig.add_trace(go.Scatter(x=data.index, y=data['High'], mode='lines', name='High'))
+                    fig.add_trace(go.Scatter(x=data.index, y=data['Low'], mode='lines', name='Low'))
+                    fig.add_trace(go.Scatter(x=data.index, y=data['Close'], mode='lines', name='Close'))
+                    
+                    # Add rolling mean and standard deviation
+                    data['Rolling_Mean'] = data['Close'].rolling(window=20).mean()
+                    data['Rolling_Std'] = data['Close'].rolling(window=20).std()
+                    fig.add_trace(go.Scatter(x=data.index, y=data['Rolling_Mean'], mode='lines', name='20-day Rolling Mean', line=dict(dash='dash')))
+                    fig.add_trace(go.Scatter(x=data.index, y=data['Rolling_Std'], mode='lines', name='20-day Rolling Std', line=dict(dash='dot')))
+                    
+                    fig.update_layout(title=f"{company_name} Stock Price History",
+                                      xaxis_title="Date",
+                                      yaxis_title="Price",
+                                      hovermode="x unified",
+                                      template="plotly_dark")
+                    st.plotly_chart(fig, use_container_width=True)
                     with tab2:
                         st.markdown("""
                         ### OHLC (Open-High-Low-Close) Chart
@@ -756,8 +764,14 @@ def explore_data():
                         st.metric("Avg Daily Return", f"{returns.mean():.2f}%")
                         st.metric("Return Volatility", f"{returns.std():.2f}%")
 
-                else:
-                    st.error("Failed to fetch data. Please try again.")
+                    # Display news
+                    st.subheader("Latest News")
+                    news = fetch_news(company_name)
+                    for item in news:
+                        st.markdown(f"[{item['title']}]({item['link']}) ({item['pubDate']})")
+                    else:
+                        st.error("Failed to fetch data. Please try again.")
+
             except Exception as e:
                 st.error(f"An error occurred: {str(e)}. Please try a different time period or check your internet connection.")