About a-team Marketing Services
The knowledge platform for the financial technology industry

A-Team Insight Blogs

NYSE Technologies to Distribute SMA Social Media Sentiment Analytics

Subscribe to our newsletter

NYSE Technologies has teamed with Chicago’s Social Market Analytics (SMA) to distribute the latter’s sentiment statistics, derived from social media, via its SFTI Network and its SuperFeed consolidated data feed.

SMA’s engine extracts, evaluates and calculates data in real-time to attempt to generate directional and volatility indications on individual stocks, ETFs, sectors, and indices by measuring the level and quality of social media interactions on social media sources relative to historical levels.

Founded by former Thomson Reuters execs, SMA taps into the twitter ‘firehose’ and calculates so-called S-Factors.  These include scores that not only indicate positive or negative views, but place a value on the level of sentiment, about a stock or a market.

Subscribe to our newsletter

Related content

WEBINAR

Upcoming Webinar: Generative and Agentic AI in Financial Markets: What the Data Really Shows

Date: 15 October 2026 Time: 10:00am ET / 3:00pm London / 4:00pm CET Duration: 50 minutes Artificial intelligence is reshaping financial markets – but the reality on the ground is more nuanced, more uneven, and more instructive than the headlines suggest. A new A-Team Insight research programme, drawing on responses from senior AI decision-makers at...

BLOG

Europe’s Consolidated Tapes Near Launch With Their Core Promises Unresolved

After nearly two decades of debate, the European consolidated tapes are now just weeks away. The equities tape is scheduled to go live in July, the UK bond tape on 22 June. Yet a panel at A-Team Group’s ExchangeTech Summit London, moderated by Scott Charity, Head of Market Structure at Berenberg, and featuring Hayley McDowell,...

EVENT

Data Management Summit New York City

Now in its 16th year, Data Management Summit (DMS) NYC returns on September 17th 2026, to explore how to use data and AI to drive measurable business outcomes – reliably, repeatedly and at scale.

GUIDE

AI in Capital Markets Handbook 2026

AI adoption in capital markets has moved into a more disciplined phase. The priority is now controlled deployment: where AI can be used safely, where it can deliver measurable value, and how outputs can be governed, monitored and evidenced. The 2026 edition of the AI in Capital Markets Handbook examines how AI is being applied...