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Using Twitter Sentiment for Day Trading
June 21, 2022
My name is Campbell Taylor. I am a rising senior and a Statistics major at The Ohio State University. Through my first few weeks as a Quantitative Research Intern for Social Market Analytics I’ve been exposed to alternative data and its applications in the financial market. In this research, I created a day trading strategy […]
S-Factor Introduction Video Blog
May 10, 2022
Our S-factor metrics have harnessed the power of social media to benefit investors. The online discussions of the Stockmarket online greatly effects the market. By filtering through over 500 million tweets a day, SMA metrics ingests the full firehose for topics of interest from Twitter, Stocktwits and more with 10+ years or out of sample […]
SMA Predicts Brexit Two Weeks Before The Vote
June 24, 2016
People seem surprised that Britain voted to exit the EU. We at SMA with our partners the CBOE are not nearly as surprised as everyone else. Russell Rhoads from the CBOE has been blogging and Tweeting with SMA data for two weeks that it looks like the Brexit is going to happen. Let’s look at […]
That's Two Takeovers in a Week!
June 22, 2016
Social media beats the mainstream media on a regular basis. Last week social media beat the news wire in reporting the MSFT acquisition of LNKD (blog post below) and Tuesday Twitter broke SCTY being acquired by TSLA. This information is not theoretical - it is actionable data in our feed! Tesla Motors lit up Twitter, […]
StockTwits based S-Factor Return Charts
May 13, 2016
Social Market Analytics (SMA) aggregates the intentions of investors as expressed on the StockTwits platform. SMA creates proprietary S-Factor metrics that quantitatively describe the current conversation relative to historical benchmarks. This data provides strong predictors of future price movement. This blog will focus on the deterministic nature of the StockTwits data set when aggregated into […]
Sentiment Leading Recent Market Volatility
September 3, 2015
The chart below looks at the percentage of positive Tweets versus the percentage of negative Tweets over the last couple of weeks. There are usually significantly more positive than negative Tweets so the fact that the negative percentage was so high is valuable data in itself. As you can see the percentage of negative Tweets […]
Social Media Generated Trading Ideas
August 11, 2015
Social media is a new and rich source of trading ideas. To illustrate this point, below are some recent trading opportunities social media data presented. In each case activity and sentiment increase prior to the actual event. Social media is a leading indicator of stock performance and SMA is the leader in providing metrics based […]
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