Update app.py

app.py

@@ -2,7 +2,12 @@ import streamlit as st
 import yfinance as yf
 import pandas as pd
 import plotly.graph_objs as go
+from st_pages import show_pages_from_config, add_page_title
 
+# Load pages from the TOML configuration file
+show_pages_from_config(".streamlit/pages_sections.toml")
+
+add_page_title("BBMA Oma Ally", "🌐")  # Optionally add a title and icon to the current page
 
 def fetch_data(ticker, start_date, end_date):
     data = yf.download(ticker, start=start_date, end=end_date)
@@ -24,7 +29,7 @@ def calculate_indicators(data):
     
     return data
 
-def identify_signals(data, weekly_data):
+def identify_signals(data):
     # Calculate Buy and Sell signals on daily data
     data['Buy Signal'] = ((data['Close'] < data['Lower Band']) & (data['Close'].shift(1) > data['Lower Band'])) | \
                          ((data['Close'] > data['MA5']) & (data['Close'].shift(1) < data['MA5']))
@@ -35,14 +40,24 @@ def identify_signals(data, weekly_data):
     avg_volume = data['Volume'].rolling(window=20).mean()
     data['Buy Signal'] = data['Buy Signal'] & (data['Volume'] > avg_volume)
     data['Sell Signal'] = data['Sell Signal'] & (data['Volume'] > avg_volume)
+    
+    return data
 
-    # Confirm signals with weekly data
+def identify_weekly_signals(weekly_data):
+    weekly_data['Buy Signal'] = ((weekly_data['Close'] < weekly_data['Lower Band']) & (weekly_data['Close'].shift(1) > weekly_data['Lower Band'])) | \
+                                ((weekly_data['Close'] > weekly_data['MA5']) & (weekly_data['Close'].shift(1) < weekly_data['MA5']))
+    weekly_data['Sell Signal'] = ((weekly_data['Close'] > weekly_data['Upper Band']) & (weekly_data['Close'].shift(1) < weekly_data['Upper Band'])) | \
+                                 ((weekly_data['Close'] < weekly_data['MA5']) & (weekly_data['Close'].shift(1) > weekly_data['MA5']))
+    return weekly_data
+
+def confirm_signals_with_weekly(data, weekly_data):
     weekly_data = calculate_indicators(weekly_data)
+    weekly_data = identify_weekly_signals(weekly_data)
     data['Weekly Buy Signal'] = weekly_data['Buy Signal'].reindex(data.index, method='ffill')
     data['Weekly Sell Signal'] = weekly_data['Sell Signal'].reindex(data.index, method='ffill')
     data['Buy Signal'] = data['Buy Signal'] & data['Weekly Buy Signal']
     data['Sell Signal'] = data['Sell Signal'] & data['Weekly Sell Signal']
-
+    
     return data
 
 def plot_data(data):
@@ -82,7 +97,8 @@ def main():
         data = fetch_data(ticker, start_date, end_date)
         weekly_data = fetch_weekly_data(ticker, start_date, end_date)
         data = calculate_indicators(data)
-        data = identify_signals(data, weekly_data)
+        data = identify_signals(data)
+        data = confirm_signals_with_weekly(data, weekly_data)
         fig = plot_data(data)
         st.plotly_chart(fig, use_container_width=True)