The prediction problem is to forecast the aggregated sentiment of investors in financial markets, like weather forecast. SAPEPredictionServer predicts market sentiment to offer instant insights to trade VIX derivatives and index-tracing funds.
SAPEPredictionServer uses patented SAPE software to automate creations and implementatioins of time-series models from big data. Sentiment predictions are made as implementations of the time-series models. SAPE software and methods are patented by USPTO and are featured in an algorithmic trading book by Wiley.
SAPEPredictionServer software may run on various Linux-based operating systems, including real hardware servers (e.g., Debian or Ubuntu on x86 or ARM servers) or virtual cloud servers (e.g., AWS or OpenStack).
SAPEPredictionServer computerizes the patented SAPE prediction framework and hosts SAPE REST APIs. The server may create real-time time-series models to predict sentiment and price of financial assets.
SAPEPredictionServer engages advanced modeling methods and visualization technologies to provide instant insights from modeling large data sets.
SAPEPredictionServer may run on an open-source enterprise Linux server that is adaptable and cost effective. It offers an end to end enterprise solution including software and hardware servers, costing 20% less of similar offerings.
SAPEPredictionServer is designed by Yeswici LLC, a private U.S. company specializing in computerized quantitative modeling, Big Data, and enterprise software and hardware solutions. SAPE stands for Sentiment Asset Pricing Engine (USPTO-Patented) that predicts sentiment and price of financial assets.
Email info@yeswici.com, Baltimore, MD