Can someone please elaborate on why yahoo suddenly stopped giving GOOG's historical prices? GOOG's historicla prices page isn't very helpful either.
Code I used to check: (AAPL works, GOOG doesn't)
import pandas.io.data as web
import datetime
print web.get_data_yahoo('AAPL', datetime.datetime(2010,1,1), datetime.datetime(2013,12,31))['Adj Close']
print web.get_data_yahoo('GOOG', datetime.datetime(2010,1,1), datetime.datetime(2013,12,31))['Adj Close']
Related
hello guys, hope you're doing well.
i used a code that plots renko and counts the bars by importing the data of stocks from yahoo finance and it worked great, but i want to use forex data from yahoo finance in the code but it is not working.
Stocklist=['AAPL']
start='2016-1-1'
for stock in StockList:
data[stock]=pdr.get_data_yahoo(stock, start)
that's how i get stocks data and use it, but its not working for forex, for example EURUSD=X
start_date = dt.datetime.today()- dt.timedelta(4000)
end_date = dt.datetime.today()
stock ="USDJPY=X"
data = yf.download(stock, start_date, end_date)
it worked in this way guys
My simple python code is:
import yfinance as yf
print(yf.Ticker('AD.AS').info)
AS.AD is the sign for Ahold Delaize (https://finance.yahoo.com/quote/AD.AS?p=AD.AS&.tsrc=fin-srch).
Sadly if I execute this command I get the following json:
{'logo_url': ''}
I've tested the code with other stocks, these did work.
If anyone knows what I am doing wrong or if this is an known issue, I would be grateful if you shared it with me!
The string for the exchange and ticker symbol are reversed on your code
Change it to this and it will work:
import yfinance as yf
print(yf.Ticker('AD.AS').info)
I am trying to import stock data using Yahoo API as a source. I have tried it many times and I always get the same error, the start and end date are different from what I have passed. For example I pass the start and end date as '2015-1-1' & '2017-1-1' but the stock data I get start and ends at '2014-12-31' & '2016-12-30'. I dont know what I am doing wrong. I even tried using google but got a error as "data_sorce='google' not implemented."
Is there some other free data source I can use or correct the dates while using Yahoo? Jupyter notebook
You can import as yfinance and just enter a start and end when importing the data. Yahoo decommissioned their historical data API check out the Ran Aroussi the developer's of fix-yahoo-finance which is now yfinance blog where he details everything nicely https://aroussi.com/post/python-yahoo-finance
To install/upgrade yfinance using pip, run:
$ pip install yfinance
instead of this method
facebook = web.DateReader("FB", "yahoo", start, end)
can be in a format like this instead
override method from pandas_datareader by importing data as pdr
import yfinance as yf
yf.pdr_override() # <== the override :-)
# download dataframe using pandas_datareader
facebook = pdr.get_data_yahoo("FB", start="2015-1-1", end="2017-1-1")
or you can just use yfinance instead
import yfinance as yf
facebook = yf.download("FB", start="2015-1-1", end="2017-1-1")
I am trying to get only workday data when importing Bitcoin quotes from yahoo finance. However, when I try to import it, it also gives weekend data, which I do not need. I transfered all data to .csv files to check what the problem was, and found that the bitcoin data included weekends and holidays. Since bitcoin is traded 24/7, I am getting more data. How do I get only data from workdays?
Code:
import pandas_datareader.data as web
import datetime as dt
start = dt.datetime(2017,1,1)
end = dt.datetime(2017,2,1)
a = web.DataReader('BTC-USD', 'yahoo', start, end)
a.to_csv('BTC.csv')
(Coded in Spyder, Python 3.7)
Use this:
import pandas_datareader.data as web
a = web.DataReader('BTC-USD', 'yahoo', '2017-01-01', '2017-02-01')
a_business_days = a[a.index.dayofweek < 5]
I was trying to get stock information as follows:
from pandas.io.data import DataReader
import datetime
data = DataReader("F", "yahoo", datetime.datetime(1990, 1, 1),datetime.datetime(2002, 1, 1))
which fails with
IOError: after 3 tries, Yahoo! did not return a 200 for url 'http://ichart.finance.yahoo.com/table.csv?s=C001.F&a=0&b=1&c=2014&d=11&e=1&f=2017&g=d&ignore=.csv'
Up to now, I could not find a fix for this issue or a suitable work-around. Do you guys have any suggestions?
It seems 'yahoo'is no longer supported. Try "morningstar" or "google".
The simple yahoo financial link,that worked for years, is no longer supported.
I've heard of a work around that involves browser spoofing (wget from command line) requires browser aliasing to obtain time sensitive cookies that are then required for each request -- but I've never tried it myself since "morningstar" currently still works (but I miss yahoo's adjusted close).
#(Pascal 3.6)
import pandas as pd
import pandas_datareader.data as web
...
df = web.DataReader('MSFT','morningstar')
for idx, row in df.iterrows():
print(idx[1],row[0],row[1],row[2],row[3],row[4])