msg

app.py

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+import streamlit as st
+import yfinance as yf
+import pandas as pd
+import plotly.graph_objs as go
+
+# Set the Streamlit app title and icon
+st.set_page_config(page_title="Stock Analysis", page_icon="📈")
+
+# Define the Streamlit app
+def main():
+    # Create a Streamlit sidebar for user input
+    st.sidebar.title("Stock Analysis")
+    ticker_symbol = st.sidebar.text_input("Enter Stock Ticker Symbol:", value='AAPL')
+    start_date = st.sidebar.date_input("Start Date", pd.to_datetime('2020-01-01'))
+    end_date = st.sidebar.date_input("End Date", pd.to_datetime('2021-01-01'))
+
+    # Fetch stock data from Yahoo Finance
+    try:
+        stock_data = yf.download(ticker_symbol, start=start_date, end=end_date)
+    except Exception as e:
+        st.error("Error fetching stock data. Please check the ticker symbol and date range.")
+        return
+
+    # Display basic stock information
+    st.header(f"Stock Analysis for {ticker_symbol}")
+    st.subheader("Basic Stock Information")
+    st.write(stock_data.tail())
+
+    # Plot a candlestick chart
+    st.subheader("Candlestick Chart")
+    fig = go.Figure(data=[go.Candlestick(x=stock_data.index,
+                open=stock_data['Open'],
+                high=stock_data['High'],
+                low=stock_data['Low'],
+                close=stock_data['Close'])])
+    fig.update_layout(title=f'{ticker_symbol} Candlestick Chart', xaxis_title='Date', yaxis_title='Price')
+    st.plotly_chart(fig)
+
+    # Perform more advanced analysis here
+    # You can add more Streamlit components and analysis tools as needed
+
+# Run the Streamlit app
+if __name__ == '__main__':
+    main()

requirements.txt

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+streamlit
+yfinance
+pandas
+plotly