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| import streamlit as st | |
| import yfinance as yf | |
| import pandas as pd | |
| import plotly.graph_objs as go | |
| import numpy as np | |
| isPswdValid = False | |
| try: | |
| pswdVal = st.experimental_get_query_params()['pwd'][0] | |
| if pswdVal==st.secrets["PSWD"]: | |
| isPswdValid = True | |
| except: | |
| pass | |
| if not isPswdValid: | |
| st.write("Invalid Password") | |
| else: | |
| # Set the Streamlit app title and icon | |
| st.set_page_config(page_title="Stock Analysis", page_icon="📈") | |
| # 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('2024-01-01')) | |
| end_date = st.sidebar.date_input("End Date", pd.to_datetime('2024-10-01')) | |
| # 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.") | |
| # 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) | |
| # Calculate basic statistics | |
| st.subheader("Basic Statistics") | |
| st.write(f"**Average Closing Price**: ${np.mean(stock_data['Close']):.2f}") | |
| st.write(f"**Minimum Closing Price**: ${np.min(stock_data['Close']):.2f}") | |
| st.write(f"**Maximum Closing Price**: ${np.max(stock_data['Close']):.2f}") | |
| st.write(f"**Total Volume Traded**: {np.sum(stock_data['Volume']):,} shares") | |
| # Add a text summary | |
| st.subheader("Stock Summary") | |
| st.write("This is a brief summary of the stock's performance.") | |
| st.write("You can add more in-depth analysis and insights here.") | |
| # You can use external libraries or APIs for more advanced analysis | |