Update app.py

app.py

@@ -3,8 +3,8 @@ import yfinance as yf
 import plotly.graph_objects as go
 import pandas as pd
 
-def fetch_data(ticker):
-    data = yf.download(ticker, start='2020-01-01', end='2024-01-01')
+def fetch_data(ticker, start_date, end_date):
+    data = yf.download(ticker, start=start_date, end=end_date)
     data['MA Fast'] = data['Close'].rolling(window=5).mean()
     data['MA Slow'] = data['Close'].rolling(window=10).mean()
     data['Upper Band'], data['Lower Band'] = data['Close'].rolling(20).mean() + 2*data['Close'].rolling(20).std(), data['Close'].rolling(20).mean() - 2*data['Close'].rolling(20).std()
@@ -31,12 +31,21 @@ def plot_data(data):
     return fig
 
 # Streamlit user interface
-st.sidebar.header('BBMA Re-entry Strategy')
+st.title("BBMA Re-entry Strategy Analysis")
+st.markdown("""
+This application allows users to analyze the BBMA (Bollinger Bands Moving Average) Re-entry Strategy for selected stocks. 
+Enter the stock ticker, choose a start and end date, and hit the 'Analyze' button to view the strategy's buy and sell signals overlaid on the price chart.
+""")
+
+st.sidebar.header('User Input Parameters')
 ticker = st.sidebar.text_input('Enter ticker symbol', value='AAPL')
+start_date = st.sidebar.date_input('Start Date', value=pd.to_datetime('2020-01-01'))
+end_date = st.sidebar.date_input('End Date', value=pd.to_datetime('today'))
+
 button = st.sidebar.button('Analyze')
 
 if button:
-    data = fetch_data(ticker)
+    data = fetch_data(ticker, start_date, end_date)
     fig = plot_data(data)
     st.plotly_chart(fig, use_container_width=True)