Bitcoin Forum
June 17, 2024, 03:57:34 AM *
News: Voting for pizza day contest
 
   Home   Help Search Login Register More  
Pages: [1]
  Print  
Author Topic: Using social media signals to invest in cryptocurrencies -> First results  (Read 342 times)
cryptofan2017 (OP)
Newbie
*
Offline Offline

Activity: 6
Merit: 0


View Profile
December 01, 2017, 04:31:50 PM
 #1

A while ago I created a social media scorecard which scores coins based on their social media sentiment (Twitter, Google, Reddit and Github). So far the results of this are pretty good (about +134% first week for top 3 coins, 113% second week). Though in my own opinion scorecard should be used as a support signal, these are interesting results. Maybe somewhat superfluous but im completely aware that this sample size is way to small to make significant claims, and that these results do not guarantuee anything for the future.

Basis for starting this project are these papers

Algorithmic Trading of Cryptocurrency Based on Twitter Sentiment Analysis
http://cs229.stanford.edu/proj2015/029_report.pdf
This paper predicted the hour to hour sign change of the bitcoin price using Logistic Regressions, Naive Bayes and SVM.

Predicting Fluctuations in Cryptocurrency Transactions Based on User Comments and Replies
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4988639/

Im curious as to what your experience is on trading on social media? Do you use it and in what way?

In case one is interested in the full report I use, it is available at www.AltcoinAnalytics.com
saidlik
Member
**
Offline Offline

Activity: 84
Merit: 10

Czech altcoin newbie


View Profile
December 01, 2017, 08:24:39 PM
 #2

 Very nice, i think there should be some really nice results Smiley

cryptofan2017 (OP)
Newbie
*
Offline Offline

Activity: 6
Merit: 0


View Profile
December 02, 2017, 12:31:50 PM
 #3

Thanks, first results are indeed promising:)
asdalani
Hero Member
*****
Offline Offline

Activity: 882
Merit: 500


CryptoTalk.Org - Get Paid for every Post!


View Profile
December 03, 2017, 06:07:37 PM
 #4

A while ago I created a social media scorecard which scores coins based on their social media sentiment (Twitter, Google, Reddit and Github). So far the results of this are pretty good (about +134% first week for top 3 coins, 113% second week). Though in my own opinion scorecard should be used as a support signal, these are interesting results. Maybe somewhat superfluous but im completely aware that this sample size is way to small to make significant claims, and that these results do not guarantuee anything for the future.

Basis for starting this project are these papers

Algorithmic Trading of Cryptocurrency Based on Twitter Sentiment Analysis
http://cs229.stanford.edu/proj2015/029_report.pdf
This paper predicted the hour to hour sign change of the bitcoin price using Logistic Regressions, Naive Bayes and SVM.

Predicting Fluctuations in Cryptocurrency Transactions Based on User Comments and Replies
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4988639/

Im curious as to what your experience is on trading on social media? Do you use it and in what way?

In case one is interested in the full report I use, it is available at www.AltcoinAnalytics.com

You could also look at how the coins are moving in coinmarketcap. There is a lot of research that is needed before investing so you might not want to stop there.

 
                                . ██████████.
                              .████████████████.
                           .██████████████████████.
                        -█████████████████████████████
                     .██████████████████████████████████.
                  -█████████████████████████████████████████
               -███████████████████████████████████████████████
           .-█████████████████████████████████████████████████████.
        .████████████████████████████████████████████████████████████
       .██████████████████████████████████████████████████████████████.
       .██████████████████████████████████████████████████████████████.
       ..████████████████████████████████████████████████████████████..
       .   .██████████████████████████████████████████████████████.
       .      .████████████████████████████████████████████████.

       .       .██████████████████████████████████████████████
       .    ██████████████████████████████████████████████████████
       .█████████████████████████████████████████████████████████████.
        .███████████████████████████████████████████████████████████
           .█████████████████████████████████████████████████████
              .████████████████████████████████████████████████
                   ████████████████████████████████████████
                      ██████████████████████████████████
                          ██████████████████████████
                             ████████████████████
                               ████████████████
                                   █████████
.CryptoTalk.org.|.MAKE POSTS AND EARN BTC!.🏆
cryptofan2017 (OP)
Newbie
*
Offline Offline

Activity: 6
Merit: 0


View Profile
December 04, 2017, 10:03:40 AM
 #5

Actually the analytics incorporate market caps. The logic scales social media exposure relative to their market caps. Have a look at AltcoinAnalytics.com to see total logic of the report.
Pages: [1]
  Print  
 
Jump to:  

Powered by MySQL Powered by PHP Powered by SMF 1.1.19 | SMF © 2006-2009, Simple Machines Valid XHTML 1.0! Valid CSS!