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Joe Gits talks Twitter at CBOE's Risk Management Conference

April 21, 2017

Gits spoke at RMC about SMA's patented technology, the Social Sentiment Engine, and Twitter's relevance in financial markets.

2016 In Review

January 23, 2017

Last year was a good year for SMA data. High sentiment securities outperformed and low sentiment securities underperformed with good Sharpe’s and Sortino's. The below tables contain returns and Sharpe/Sortino ratios for the full history of Social Market Analytics S-Factor data. Correlations to standard factors continue to be near zero. I'm sure our data […]

Weekly, Monthly Quarterly Re-balance

January 9, 2017

As we move into a new year Social Market Analytics (SMA) has acquired five years of out-of-sample data. This real history has enabled us to build signals for longer holding periods. In this blog we will explore the use of SMA data for weekly, monthly and quarterly holding periods. Portfolio managers often re-select securities […]

SMA Signals for Monthly & Quarterly Holding Periods

October 24, 2016

Since our founding in 2012 we have been acquiring out-of-sample history to use in development of factor models. We now have five years of history, with this history we can create statistically significant signals with monthly and quarterly holding periods. This blog will explore the use of sentiment data for monthly and quarterly holding periods. […]

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