Quantopian's community platform is shutting down. Please read this post for more information and download your code.
Back to Community
Twitter API/library integration

I'm interested in comparing social media trends with stock values.

For example, see how the frequency of hashtags, mentions, and individual companies' activity correlate with prices.

Is this possible with quantopian?
I know there is python twitter APIs, but also that quantopian doesn't work with many libraries.

Any thoughts or input is appreciated!

3 responses

Hi Alek,

While this isn't a native builtin dataset on Quantopian, you can do this using the Fetcher tool. You can use the Python Twitter APIs to load data on to your local machine, calculate meta data, and then save it in a .csv file. You can then host that .csv file somewhere public (described in that link), and import it into your Quantopian algorithm.

Let me know if this helps!

Disclaimer

The material on this website is provided for informational purposes only and does not constitute an offer to sell, a solicitation to buy, or a recommendation or endorsement for any security or strategy, nor does it constitute an offer to provide investment advisory services by Quantopian. In addition, the material offers no opinion with respect to the suitability of any security or specific investment. No information contained herein should be regarded as a suggestion to engage in or refrain from any investment-related course of action as none of Quantopian nor any of its affiliates is undertaking to provide investment advice, act as an adviser to any plan or entity subject to the Employee Retirement Income Security Act of 1974, as amended, individual retirement account or individual retirement annuity, or give advice in a fiduciary capacity with respect to the materials presented herein. If you are an individual retirement or other investor, contact your financial advisor or other fiduciary unrelated to Quantopian about whether any given investment idea, strategy, product or service described herein may be appropriate for your circumstances. All investments involve risk, including loss of principal. Quantopian makes no guarantees as to the accuracy or completeness of the views expressed in the website. The views are subject to change, and may have become unreliable for various reasons, including changes in market conditions or economic circumstances.

If you have your own dataset, you can use Fetcher as Jamie suggested. If you don't, try using Accern's sentiment data. We integrated their data and you can try it out here: https://www.quantopian.com/data?searchq=sentiment

Disclaimer

The material on this website is provided for informational purposes only and does not constitute an offer to sell, a solicitation to buy, or a recommendation or endorsement for any security or strategy, nor does it constitute an offer to provide investment advisory services by Quantopian. In addition, the material offers no opinion with respect to the suitability of any security or specific investment. No information contained herein should be regarded as a suggestion to engage in or refrain from any investment-related course of action as none of Quantopian nor any of its affiliates is undertaking to provide investment advice, act as an adviser to any plan or entity subject to the Employee Retirement Income Security Act of 1974, as amended, individual retirement account or individual retirement annuity, or give advice in a fiduciary capacity with respect to the materials presented herein. If you are an individual retirement or other investor, contact your financial advisor or other fiduciary unrelated to Quantopian about whether any given investment idea, strategy, product or service described herein may be appropriate for your circumstances. All investments involve risk, including loss of principal. Quantopian makes no guarantees as to the accuracy or completeness of the views expressed in the website. The views are subject to change, and may have become unreliable for various reasons, including changes in market conditions or economic circumstances.

Thanks guys! These both seem like a great starting point.

Admittedly I was hoping it would be something easier like just calling a Twitter API library directly, but I'll take what I can get!