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stockprice.py
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# -*- coding: utf-8 -*-
'''
即時股價
'''
import requests
import datetime
import json
import numpy as np
import pandas as pd
import matplotlib
import matplotlib.pyplot as plt
import pandas_datareader as pdr
from bs4 import BeautifulSoup
import Imgur
from matplotlib.font_manager import FontProperties # 設定字體
font_path = matplotlib.font_manager.FontProperties(fname='msjh.ttf')
emoji_upinfo = u'\U0001F447'
emoji_midinfo = u'\U0001F538'
emoji_downinfo = u'\U0001F60A'
def get_stock_name(stockNumber):
try:
url = f'https://tw.stock.yahoo.com/q/q?s={stockNumber}'
page = requests.get(url)
soup = BeautifulSoup(page.content, 'html.parser')
table = soup.find_all(text='成交')[0].parent.parent.parent
stock_name = table.select('tr')[1].select('td')[0].text.strip('加到投資組合')
return stock_name
except:
return "no"
# 使用者查詢股票
def getprice(stockNumber, msg):
stock_name = get_stock_name(stockNumber)
if stock_name == "no": return "股票代碼錯誤!"
content = ""
stock = pdr.DataReader(stockNumber+'.TW', 'yahoo', end=datetime.datetime.now())
date = stock.index[-1]
price = '%.2f ' % stock["Close"][-1] # 近日之收盤價
last_price = '%.2f ' % stock["Close"][-2] # 前一日之收盤價
spread_price = '%.2f ' % (float(price) - float(last_price)) # 價差
spread_ratio = '%.2f ' % (float(spread_price) / float(last_price)) # 漲跌幅
spread_price = spread_price.replace("-",'▽ ') if last_price > price else '△ ' + spread_price
spread_ratio = spread_ratio.replace("-",'▽ ') if last_price > price else '△ ' + spread_ratio
open_price = str('%.2f ' % stock["Open"][-1]) # 近日之開盤價
high_price = str('%.2f ' % stock["High"][-1])# 近日之盤中高點
low_price = str('%.2f ' % stock["Low"][-1]) # 近日之盤中低點
price_five = stock.tail(5)["Close"] # 近五日之收盤價
stockAverage = str('%.2f ' % pd.to_numeric(price_five).mean()) # 計算近五日平均價格
stockSTD = str('%.2f ' % pd.to_numeric(price_five).std()) # 計算近五日標準差
content += f"回報編號{stock_name}的股價{emoji_upinfo}\n--------------\n日期: {date}\n{emoji_midinfo}最新收盤價: {price}\n{emoji_midinfo}開盤價{open_price}\n{emoji_midinfo}最高價: \
{high_price}\n{emoji_midinfo}最低價: {low_price}\n{emoji_midinfo}價差: {spread_price} 漲跌幅: {spread_ratio}\n{emoji_midinfo}近五日平均價格: {stockAverage}\n{emoji_midinfo}近五日標準差: {stockSTD}\n"
if msg[0] == "#": content += f"--------------\n需要更詳細的資訊，可以點選以下選項進一步查詢唷{emoji_downinfo}"
else: content += '\n'
return content
# --------- 畫近一年股價走勢圖
def stock_trend(stockNumber, msg):
stock_name = get_stock_name(stockNumber)
end = datetime.datetime.now()
date = end.strftime("%Y%m%d")
year = str(int(date[0:4]) - 1)
month = date[4:6]
stock = pdr.DataReader(stockNumber+'.TW', 'yahoo', start= year+"-"+month,end=end)
plt.figure(figsize=(12, 6))
plt.plot(stock["Close"], '-' , label="收盤價")
plt.plot(stock["High"], '-' , label="最高價")
plt.plot(stock["Low"], '-' , label="最低價")
plt.title(stock_name + ' 收盤價年走勢',loc='center', fontsize=20, fontproperties=font_path)# loc->title的位置
plt.xlabel('日期', fontsize=20, fontproperties=font_path)
plt.ylabel('價格', fontsize=20, fontproperties=font_path)
plt.grid(True, axis='y') # 網格線
plt.legend(fontsize=14, prop=font_path)
plt.savefig(msg + '.png') #存檔
plt.show()
plt.close()
return Imgur.showImgur(msg)
#股票收益率: 代表股票在一天交易中的價值變化百分比
def show_return(stockNumber, msg):
stock_name = get_stock_name(stockNumber)
end = datetime.datetime.now()
date = end.strftime("%Y%m%d")
year = str(int(date[0:4]) - 1)
month = date[4:6]
stock = pdr.DataReader(stockNumber + '.TW', 'yahoo', start= year+"-"+month,end=end)
stock['Returns'] = stock['Close'].pct_change()
stock_return = stock['Returns'].dropna()
plt.figure(figsize=(12, 6))
plt.plot(stock_return, label="報酬率")
plt.title(stock_name + ' 年收益率走勢',loc='center', fontsize=20, fontproperties=font_path)# loc->title的位置
plt.xlabel('日期', fontsize=20, fontproperties=font_path)
plt.ylabel('報酬率', fontsize=20, fontproperties=font_path)
plt.grid(True, axis='y') # 網格線
plt.legend(fontsize=14, prop=font_path)
plt.savefig(msg+'.png') #存檔
plt.show()
return Imgur.showImgur(msg)
# --------- 畫 股價震盪圖
def show_fluctuation(stockNumber, msg):
stock_name = get_stock_name(stockNumber)
end = datetime.datetime.now()
date = end.strftime("%Y%m%d")
year = str(int(date[0:4]) - 1)
month = date[4:6]
stock = pdr.DataReader(stockNumber + '.TW', 'yahoo', start= year+"-"+month,end=end)
stock['stock_fluctuation'] = stock["High"] - stock["Low"]
max_value = max(stock['stock_fluctuation'][:]) # 最大價差
min_value = min(stock['stock_fluctuation'][:]) # 最小價差
plt.figure(figsize=(12, 6))
plt.plot(stock['stock_fluctuation'], '-' , label="波動度", color="orange")
plt.title(stock_name + ' 收盤價年波動度',loc='center', fontsize=20, fontproperties=font_path)# loc->title的位置
plt.xlabel('日期', fontsize=20, fontproperties=font_path)
plt.ylabel('價格', fontsize=20, fontproperties=font_path)
plt.grid(True, axis='y') # 網格線
plt.legend(fontsize=14, prop= font_path)
plt.savefig(msg + '.png') #存檔
plt.show()
plt.close()
return Imgur.showImgur(msg)