Create app.py

app.py

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+import streamlit as st
+import yfinance as yf
+import pandas as pd
+from datetime import datetime
+
+# Set the ticker symbol
+tickerSymbol = '^VIX'
+
+# Streamlit app title
+st.title('VIX Closing Prices and Moving Averages')
+
+# Get data on this ticker
+tickerData = yf.Ticker(tickerSymbol)
+
+# Ask user to specify date range
+# Convert string dates to datetime.date objects
+start_date = datetime.strptime('2010-1-1', '%Y-%m-%d').date()
+end_date = datetime.strptime('2020-12-31', '%Y-%m-%d').date()
+date_range = st.date_input('Date range', [start_date, end_date])
+
+# 確定ボタンを追加
+if st.button('Update Chart'):
+    # Get the historical prices for this ticker
+    # We will use daily prices. Adjust the period to change the frequency of prices
+    tickerDf = tickerData.history(period='1d', start=date_range[0], end=date_range[1])
+
+    # Calculate moving averages
+    tickerDf['20_Day_MA'] = tickerDf['Close'].rolling(window=20).mean()
+    tickerDf['50_Day_MA'] = tickerDf['Close'].rolling(window=50).mean()
+
+    # Display chart
+    st.line_chart(tickerDf[['Close', '20_Day_MA', '50_Day_MA']])