| 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='1301.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='台塑公司 (1301.TW) 股價走勢圖') |
| fig.update_layout(title_text=f'台塑公司 (1301.TW) 股價走勢圖', title_x=0.5) |
|
|
| st.plotly_chart(fig, use_container_width=True) |
