Create app.py

app.py

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+import streamlit as st
+import yfinance as yf
+import plotly.graph_objects as go
+
+def fetch_data(ticker, start_date, end_date):
+    data = yf.download(ticker, start=start_date, end=end_date, interval='1m')
+    data['MA Fast'] = data['Close'].rolling(window=5).mean()
+    data['MA Slow'] = data['Close'].rolling(window=10).mean()
+    data['Upper Band'] = data['Close'].rolling(window=20).mean() + 2*data['Close'].rolling(20).std()
+    data['Lower Band'] = data['Close'].rolling(window=20).mean() - 2*data['Close'].rolling(20).std()
+    return data
+
+def plot_data(data):
+    fig = go.Figure()
+    fig.add_trace(go.Candlestick(x=data.index,
+                                 open=data['Open'], high=data['High'],
+                                 low=data['Low'], close=data['Close'],
+                                 name='Candlesticks'))
+    fig.add_trace(go.Scatter(x=data.index, y=data['MA Fast'], line=dict(color='blue', width=1.5), name='MA Fast'))
+    fig.add_trace(go.Scatter(x=data.index, y=data['MA Slow'], line=dict(color='red', width=1.5), name='MA Slow'))
+    fig.add_trace(go.Scatter(x=data.index, y=data['Upper Band'], line=dict(color='green', width=1), name='Upper Band'))
+    fig.add_trace(go.Scatter(x=data.index, y=data['Lower Band'], line=dict(color='green', width=1), name='Lower Band'))
+
+    # Buy and sell signals based on BBMA logic
+    buys = data[(data['Close'] > data['Lower Band']) & (data['Close'] < data['MA Slow'])]
+    sells = data[(data['Close'] < data['Upper Band']) & (data['Close'] > data['MA Fast'])]
+
+    fig.add_trace(go.Scatter(x=buys.index, y=buys['Close'], mode='markers', marker=dict(color='yellow', size=10), name='Buy Signal'))
+    fig.add_trace(go.Scatter(x=sells.index, y=sells['Close'], mode='markers', marker=dict(color='purple', size=10), name='Sell Signal'))
+    
+    return fig
+
+# Streamlit user interface
+st.title("BBMA Scalping Strategy Visualizer")
+st.markdown("""
+This application visualizes the BBMA Scalping Strategy for selected stocks. 
+Enter the stock ticker, choose a start and end date, and press 'Analyze' to view the strategy's buy and sell signals overlaid on the price chart.
+""")
+
+st.sidebar.header('Input Parameters')
+ticker = st.sidebar.text_input('Enter ticker symbol', value='AAPL')
+start_date = st.sidebar.date_input('Start Date', value=pd.to_datetime('2021-01-01'))
+end_date = st.sidebar.date_input('End Date', value=pd.to_datetime('today'))
+
+button = st.sidebar.button('Analyze')
+
+if button:
+    data = fetch_data(ticker, start_date, end_date)
+    fig = plot_data(data)
+    st.plotly_chart(fig, use_container_width=True)
+