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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
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