Yahoo! Finance financial Data Python temporary Read method

Source: Internet
Author: User

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This time in the quantitative strategy, found a relatively good open source project, but Yahoo financial data source has not been found, found on the Internet this article, share. At the bottom of the article is the original author's number, you want to reward yourself ~ ~

Yahoo! Finance provides financial data at home and abroad, and Python often uses pandas or matplotlib for data reading.

The original data interface was offline as Yahoo! 's API was upgraded unilaterally on May 16, 2017.

Original URL format: Https://
Now adjust to: interval=1d&events=history&crumb=nmhmtcv7qpm


Before the pandas and matplotlib Yahoo Finance patches are released, data can be extracted through the temporary workaround provided in this article.

Original data extraction Method one:

import as webIBMStock = web.DataReader(name="IBM", data_source="yahoo",start="2000-1-1")

Original data extraction Method two:

import requestss = requests.Session()r = s.get("",verify=False)

The original data extraction method three:

from import quotes_historical_yahoo_ochldate1=(2013, 1, 1)date2=(2013, 12,31)price=quotes_historical_yahoo_ochl(‘IBM‘, date1, date2)

Python Temporary Solution:
Step1. To get the cookie value when accessing Yahoo through the browser




Step2. Right click Download, get crumb value interval=1d&events=history&crumb=nmhmtcv7qpm


Step3. Replace starting and ending dates with Unix time

Code sample (Python 2.7.13 | Anaconda 4.3.1 (64-bit)):

#-*-Coding:utf-8-*-"" "Created on Fri May 2017@author:vincentqiao" "" Import requestsimport Timeimport pandas as Pdim Port Matplotlib.pyplot as Pltdef datetime_timestamp (DT): time.strptime (DT, '%y-%m-%d%h:%m:%s ') S = Time.mktime (ti Me.strptime (DT, '%y-%m-%d%h:%m:%s ')) return str (int (s)) S = requests. Session () #Replace b=xxxxcookies = dict (b= ' c650m5hchrhii&b=3&s=tk ') #Replace crumb=yyyycrumb = ' NMHMTCV7QPM ' Begin = Datetime_timestamp ("2014-01-01 09:00:00") end = Datetime_timestamp ("2017-04-30 09:00:00") R = S.get ("https:// "+begin+" &period2= "+end+" &interval=1d& events=history&crumb= "+crumb,cookies=cookies,verify=false) F = open (' Ibm.csv ', ' W ') F.write (R.text) f.close () es = Pd.read_csv (' Ibm.csv ', Index_col=0,parse_dates=true, sep= ",", dayfirst=true) data = PD. DataFrame ({"IBM": es["Adj Close"] [:]}) Print ( ()) Data.plot (Subplots=true, grid=true, style= "B", figsize= (8, 6 )) ()

Operation Result:

Author of the public number


Yahoo! Finance financial Data Python temporary Read method

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