沒有免費的軟體，寫爬蟲需要自己有python程式碼功底，作為一個程式設計師，有自己的傲嬌，炒股不喜歡用別人的軟體，喜歡自己分析總結。

python環境就不在贅述了，在cmd下命令

pip install yfinance

安裝成功後，我們寫個簡單的py檔案執行

import yfinance as fy

import matplotlib.pyplot as plt

import numpy as np

fy.pdr_override()

def get_data(tick,start_date="2000-01-01", end_date="2020-01-01"):

data = fy.download(tick, start=start_date, end=end_date)

return data

tickers=["AAPL", "GOOG","AMZN","FB"]

all_data = {}

for ticker in tickers:

all_data[ticker]=get_data(ticker)

subjects = ["蘋果公司股價走勢","谷歌公司股價走勢",

"亞馬遜公司股價走勢","FaceBook公司股價走勢"]

#每個子圖的title

plot_pos = [221,222,223,224] # 每個子圖的位置

new_colors = ["#1f77b4","#ff7f0e", "#2ca02c", "#d62728",

"#9467bd","#8c564b", "#e377c2",

"#7f7f7f","#bcbd22","#17becf"]

fig = plt.figure(figsize=(16,9))

fig.suptitle("美股&指數走勢",fontsize=18)

for pos in np.arange(len(plot_pos)):

ax = fig.add_subplot(plot_pos[pos])

y_data = all_data[tickers[pos]]["Adj Close"]

b = ax.plot(y_data,color=new_colors[pos])

ax.set_title(subjects[pos])

ax = plt.gca()

ax.spines["right"].set_color("none")

ax.spines["top"].set_color("none")

plt.show()

成功跑起來了

也不比市面上的亂七八糟的軟體差吧！