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*Source: Comscore, growth rate statistics based on Media Trend report for [S] Yahoo Finance compared to Total Internet Audience; comparison periods were Nov-23 to Feb-24 ] vs. year-over-year comparison of the same four-month period on year and 2 years ago
Hi everyone! Lamentably, Yahoo finance is discontinued and getSymbols no longer works. Do any of you have alternative sources and codes to access stocks? My code, which I have used for years, now only states the following: "Could not establish session after 5 attempts." Google is also defunct. I used FRED, but not sure how to get stocks like Apple and Amazon.
Could you expand a little on what you mean by "Yahoo finance is discontinued?" I just went to Yahoo finance and downloaded a csv of daily Apple stock prices from 1980 through today. Is it a particular api that's been discontinued? If so, here is a link to some alternatives 11 Top Alternatives to Yahoo Finance API
Thanks, I am still having problems despite all the information. I never did previously and do not have problems with FRED or other sources. Are there other sources for stocks and could one give me the code. I have been looking at, for example, Alpha Vantage.
Thanks, I have been reinstalling and it finally worked. Not sure why it failed to work the previous times. Maybe it was being masked by Tidyquant. I will have to see is the quantmod in tidyquant, which is a great package, has the newest quantmod. Thanks to you all!
But I would also like to here if there are other sources and codes for retrieving additional financial data like stocks and bonds. I have used FRED and have found there are other packages that link to Bloomberg and Alpha Vantage. I simply do not know the codes to access the data. Getsymbols is popular because it is easy. Nonetheless, I would like to access data through other ways. Any literature and/or codes would be welcomed.
Quandl used to provide stock prices as well as other data, much of it free within limits. It seems it is now part of Nasdaq (Quandl.com redirects to data.nasdaq.com). I can still retrieve data using the Quandl package, but only to March 2018, so not super useful, but might be helpful to someone for back testing...
Thanks so much everyone for this wealth of information. I have used Quandl and the Bloomberg package, but never figured out the codes. I have found less information on finance/time series data on R than other subjects (anova, regression, etc.). Any great online updated books/sites would be great. All the best!
Your problem is you can not assign getSymbols with "stk -> getSymbols("SPY"), I had the problem many years ago and came across a torrent of aggression for being rather dull(stupid) when I posted on stackoverflow. I have forgotten the exact switch you need to assign a symbol , I think it maybe auto.assign =FALSE(F is not correct, I am writing in a hurry, please check syntax). But the issue is of that style.here is the proper way to assign names without weird behavior.
symbols
I am sure it will work with that.
I did that 3 minutes ago on 1:58 PM 6/11/22 Australian Eastern Standard Time, works fine yahoo.
It could also be ghosts in the machine happens occasionally, you have to fully uninstall R and Rstudio load the latest version and load all libraries needed again, with install.packages(......., dependencies=TRUE), then load with library, I avoid and never use require command it is inadequate. It is advisable to install and load the latest R Tools library also.
Ruey Tsay Analysis of Time Series and his book on Finance with R are from intermediate to expert level books, the finance book is basic to intermediate and above.
Check out Matt Dancho's Tidy quant library and online videos.
See cran R repository and type in time series; you will be busy for a lifetime working through it. Tsbox is an interesting R universal timeseries conversion tool, you should check out. Columbia University Econometrics professor Eric Zivot used to have a definitive discussion of the (then existing time series methods and formats), it was available with a search on google although I am not sure if it still is it is about 8 or 10 years old there is only one new format I think tstibles I think. But their is literally hundreds of books too many too mention, on coursera there is a few courses, unsure about edx, Udemy has a dozen or so courses also, and others.
Seriously for stock data I have never bothered with quandl and bloomberg. However I though Bloomberg was a very expensive subscription service, I have no experience with tingo, quandl is good for economic data or subscription services for things which are not published like historical option implied volatility data. Tingo I have come across in forums, staff there promoting there service, they like quandl have data as there business, I only briefly checked quandl after nasdaq bought it and I am unsure if it has the depth of services previously provided as a unique data providing organisation. You could not get a lot for free previously on quandl just govt statistics such as Fred and Treasury and UK and worldwide economic stats data, and a basic daily price portal for shares.
Hi, the simfin project offers a free API for stocks and financial reports. There is an accompanying
simfinapi R package which I have used. Here I've written a short blog post about it. Hope it helps:)
If you plan to use a proxy or persistent connections use query2.finance.yahoo.com. But for the purposes of this post, the host used for the example URLs is not meant to imply anything about the path it's being used with.
Any valid future expiration represented as a UNIX timestamp can be used in the ?date= query. If you query for the current expiration the JSON response will contain a list of all the valid expirations that can be used in the ?date= query. (here is a post explaining converting human-readable dates to UNIX timestamp in Python)
m (minute) intervals are limited to 30days with period1 and period2 spaning a maximum of 7 days per/request. Exceeding either of these limits will result in an error and will not round
Note the crumb query parameter, this seems to correspond to your cookie in some way. Your best bet is to scrape this from the HTML response to your initial GET request. Within that response, you can do a regex search for: "CrumbStore":\"crumb":"(?[^"]+)"\ and extract the crumb matched group.
It seems that Yahoo is now using some hashing to prevent people from accessing the data like you did. The URL varies with each session so it's very likely that you can't do this with a fixed URL anymore.
I'm in the same boat. Getting there slowly. The download link on the historical prices page still works. So I added the export cookies extension to firefox, logged in to yahoo, dumped the cookies. Used the crumb value from interactive session and I was able to retrieve values. Here's part of a test perl script that worked.
However, I discovered Intrinio (look it up), signed up, and my free account gets me 500 historic data api calls a day, with much more data and much more accurate than Yahoo. I rewrote my code for the Intrinio API, and I'm happy as a clam.
For those Excel/VBA users I have used the suggestions above to develop a VBA method to extract historical prices from the updated Yahoo website. The key code snippets are listed below and I have also provided my testing workbook.
An alternative approach to those mentioned so far (Yahoo, Google and Intrinio) is to get the historical data from Alpha Vantage for free. Their web service delivers intra-day, daily, adjusted stock prices and 50+ technical indicators. They even deliver straight to Excel - also for free - through Deriscope. (I am the author of the latter.)
Yahoo Finance API / URL not working: Python fix for Pandas DataReader where I followed the steps in -yahoo-finance to: $ pip install fix_yahoo_finance --upgrade --no-cache-dir (and also upgraded pandas_datareader to be sure) and tested ok:
The yfinance library allows you to query the API and it will handle the screen scraping for you. It will output the data directly into a Pandas dataframe for you to begin working with it right away. The library is also compatible with proxy connections. The yfinance library has found broad adoption among novice algotraders and finance students who need a way to get access stock market data and will only be making a few requests each day.
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