SMA’s patented processes provide the financial and marketing communities with new data sources to evaluate financial data sets, enhance returns, and reduce risk.
SMA covers the broad U.S. Equity market across small, medium, and large-cap stocks, filtering through roughly 1 billion Tweets a day to capture all conversations relating to US Equities.
SMA’s technologies provide a live Top/Bottom 10 Watchlist, live Market Sentiment and Tweet Volume on individual securities, and once-a-day snapshot on Sentiment from the most accurate Twitter accounts. Oftentimes news breaks on Twitter ahead of traditional media outlets, allowing traders to track sentiment spikes as news breaks.
Trade Cost Analysis (TCA) plays a large part in understanding how execution affects returns (alpha), especially for large institutional firms. TWAP (time-weighted) and VWAP (volume-weighted) algorithmic execution models, especially, have become very popular over the past decade. Depending on the Sentiment of a stock and the change in Sentiment, a trader might be inclined to TWAP or VWAP their execution.
SMA rates Twitter accounts talking about stocks with a 12-factor algorithm. Every day SMA extracts the 100 most accurate accounts for each holding period and displays what percentage of those accounts are speaking positively or negatively about securities. This widget is updated every day.
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