File size: 1,007 Bytes
bd15c9a 04eb9f3 bd15c9a e1598fe bd15c9a 0be1578 bd15c9a e1598fe bd15c9a e1598fe bd15c9a e1598fe bd15c9a e1598fe bd15c9a e1598fe bd15c9a | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 | 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(2021, 1, 1).strftime('%Y-%m-%d')
end = dt.date.today()
ticker='2408.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='南亞科技 (2408.TW) Adj Close with Bollinger Bands')
fig.update_layout(title_text=f'南亞科技(2408.TW) Adj Close with Bollinger Bands', title_x=0.5)
st.plotly_chart(fig, use_container_width=True) |