Create app.py

app.py

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+import yfinance as yf
+import pandas as pd
+import plotly.graph_objects as go
+import streamlit as st
+
+# Modify the interface to place input fields in a sidebar
+sidebar = st.sidebar
+symbol = sidebar.text_input("Enter stock symbol:", "AAPL")
+period = sidebar.selectbox("Select period:", ["1mo", "3mo", "6mo", "1y", "2y", "5y", "10y", "ytd", "max"])
+
+# Continue with the spell as before
+data = yf.download(symbol, period=period)
+
+data['Local Max'] = data['Close'][(data['Close'].shift(1) < data['Close']) & (data['Close'].shift(-1) < data['Close'])]
+data['Local Min'] = data['Close'][(data['Close'].shift(1) > data['Close']) & (data['Close'].shift(-1) > data['Close'])]
+
+fig = go.Figure()
+fig.add_trace(go.Scatter(x=data.index, y=data['Close'], name='Close'))
+fig.add_trace(go.Scatter(x=data['Local Max'].dropna().index, y=data['Local Max'].dropna(), mode='markers', name='Resistance'))
+fig.add_trace(go.Scatter(x=data['Local Min'].dropna().index, y=data['Local Min'].dropna(), mode='markers', name='Support'))
+
+table_data = pd.concat([data['Local Max'].dropna(), data['Local Min'].dropna()]).sort_index()
+st.write(table_data.to_frame(name="Level"))
+
+st.plotly_chart(fig)