Update app.py

app.py

@@ -3,6 +3,7 @@ import yfinance as yf
 import pandas as pd
 from datetime import date
 from io import BytesIO
+import plotly.graph_objects as go
 
 st.set_page_config(page_title='Stock Chart')
 
@@ -28,36 +29,48 @@ if start_date > end_date:
 else:
     # Veri çekme işlemi
     df = yf.download(sembol_kodu, start=start_date, end=end_date)
-
+    
     if df.empty:
         st.warning('No data found for selected symbol and date range.')
     else:
         # Zaman dilimi bilgisini kaldırma
         df.index = df.index.tz_localize(None)
-
+        
         # Veri çerçevesini gösterme
         st.subheader('Stock Data')
         st.write(df)
-
-        # Grafik çizme
-        st.subheader('Closing Price Chart')
-        st.line_chart(df['Close'])
-
-        st.subheader('Opening Price Chart')
-        st.line_chart(df['Open'])
-
-        st.subheader('High Price Chart')
-        st.plotly_chart(df['High'])
-
-        st.subheader('Low Price Chart')
-        st.plotly_chart(df['Low'])
-
+        
+        
+        
+        
+        
+        # Mum (Candle) grafiği oluşturma
+        st.subheader('Candlestick Chart')
+        fig = go.Figure(data=[go.Candlestick(x=df.index,
+                                           open=df['Open'],
+                                           high=df['High'],
+                                           low=df['Low'],
+                                           close=df['Close'])])
+        
+        # Grafik düzenleme
+        fig.update_layout(
+            title=f'{sembol} Candlestick Chart',
+            yaxis_title='Price',
+            xaxis_title='Date',
+            template='plotly_white'
+        )
+        
+        # Grafiği gösterme
+        st.plotly_chart(fig)
+        
+        
+        
         st.subheader('Volume Price Chart')
         st.plotly_chart(df['Volume'])
-
+        
         # Excel dosyasını indirme
         st.subheader('Stock Data Excel File')
-
+        
         def to_excel(df):
             output = BytesIO()
             writer = pd.ExcelWriter(output, engine='xlsxwriter')
@@ -65,11 +78,11 @@ else:
             writer.close()
             processed_data = output.getvalue()
             return processed_data
-
+        
         excel_data = to_excel(df)
         st.download_button(
             label='Download as Excel',
             data=excel_data,
             file_name=f'{sembol_kodu}_data.xlsx',
             mime='application/vnd.openxmlformats-officedocument.spreadsheetml.sheet'
-        )
+        )