Create app.py

app.py

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+import numpy as np
+import matplotlib.pyplot as plt
+import plotly.graph_objs as go
+import plotly.express as ex
+import yfinance as yf
+import pandas as pd
+import pandas_ta
+import datetime as dt
+import streamlit as st
+start = dt.datetime(2020, 1, 1).strftime('%Y-%m-%d')
+end =  dt.date.today()
+
+ticker='6505.TW'
+
+df = yf.download(ticker, start = start, end = end)
+
+df['stoch_k'] = pandas_ta.stochrsi(close=df['Adj Close'],length=20).iloc[:,0]
+df['stoch_d'] = pandas_ta.stochrsi(close=df['Adj Close'],length=20).iloc[:,1]
+df['bb_lower'] = pandas_ta.bbands(close=df['Adj Close'],length=20).iloc[:,0]
+df['bb_upper'] = pandas_ta.bbands(close=df['Adj Close'],length=20).iloc[:,2]
+df['forward_1d'] = df['Adj Close'].pct_change(1).shift(-1)
+
+fig=ex.line(df, x=df.index, y=['Adj Close','bb_lower','bb_upper'], title='台塑化 (6505.TW) Adj Close with Bollinger Bands')
+fig.update_layout(title_text=f'台塑化(6505.TW) Adj Close with Bollinger Bands', title_x=0.5)
+
+st.plotly_chart(fig, use_container_width=True)