1. Add stocks to the TOP 1800 list, with data sourced from https://goodinfo.tw/.
支援台股市值前1800檔
2. Support buy/sell lists in HTML format.
支援Html格式的買賣清單
1. Analyze BUY and SELL signals for individual Taiwan stocks using technical indicators such as KD, RSI, MACD, and Bollinger Bands.
使用 KD、RSI、MACD 和布林通道等技術指標分析台灣個股的買入和賣出訊號。
2. Combine them with conditions like delayed confirmation and volume surge to generate buy/sell signals and daily summaries.
結合延遲確認和成交量激增等條件，產生買入/賣出訊號和每日摘要。
#需要的套件
import pandas as pd
import pandas_datareader as pdr
import datetime as datetime
import matplotlib.pyplot as plt
#國泰金控(2882)為範例
stock_number = '2882.TW'
start = datetime.datetime(2018,1,1)
end = datetime.datetime(2018,6,1)
DataFrame = pdr.DataReader(stock_number, 'yahoo', start, end)
print DataFrame
#畫圖
fig = plt.figure(figsize=(5, 5))
AX = fig.add_axes([0.1,0.5,1,0.2])
AX2 = fig.add_axes([0.1,0.1,1,0.2])
#表格標題
AX.set_title(stock_number)
AX2.set_title(stock_number)
#收盤價
AX.plot(DataFrame['Close'], label='Close', color='B')
#成交量
AX2.bar(DataFrame.index, DataFrame['Volume'], label='Volume', color='R')
AX.legend();
AX2.legend();
