Market Sensei Launches Machine Learning-Powered Stock Market Prediction Platform for Novice and Experienced Investors
Platform Features Dynamic Accuracy Metrics for Full Transparency - Daily Pricing Platform Available for both Android and iOS Users
CAMBRIDGE, Mass., Aug. 31, 2017 /PRNewswire/ -- Machine learning technology provider Expat Inc. (www.expatinc.com) today announced the launch of Market Sensei (www.StockMarketSensei.net), a stock market prediction platform that features patented machine learning algorithms that give powerful prediction abilities previously unavailable to both novice investors and experienced traders. The launch of the release follows a beta period where the service attracted several thousand avid users who provided Expat Inc. with valuable feedback about various capabilities and the user interface, allowing the company to make key refinements.
Market Sensei features an accessible UI that makes it usable by novice investors and experienced traders alike. It is powered by patented algorithms that combine various metrics to create a predicted low, high, opening, and closing price for thousands of stocks which are clearly illustrated via the app or website interface. Market Sensei offers reliable predictions for the thousands of stocks listed on the NYSE, NASDAQ, and AMEX markets. Tied into the predictions are Market Sensei's alerts that can be setup to warn the user any time a stock goes past a certain buy or sell price, allowing them to act immediately.
"We're thrilled to bring Market Sensei out of beta and offer a refined and easy-to-use solution to the investing public," said Patrick Kwete, CEO of Expat Inc. "The complexity of the system was all placed in the back end, so users can receive reliable stock predictions at a glance. Our platform allows users to make daily or long-term strategic investing decisions that are based on predictive data."
A core competitive differentiator for Market Sensei is the inherent accountability that is built within the platform. Every stock's prediction data also includes a graphical representation of Market Sensei's prediction accuracy for that stock within the past nine days. This approach contrasts sharply to financial analysts who release reports but do not have reliable data regarding the accuracy of their predictions. Market Sensei provides users with both accountability and accuracy in a user-friendly structure.
"Market Sensei offers investors a reliable and completely transparent prediction tool for thousands of stocks. It's powerful because people can use it not only to initiate trades but also use it as a tool to judge various investing strategies. And we are the first prediction tool to be completely transparent and accountable, as we show users a dynamic accuracy score so they can see our performance over time."
Market Sensei is available for free download and includes a free trial with which users have unlimited access to its daily analysis features and the full computational power of the platform. After the free trial, successful users retain access to the platform for $19.95 per month.
Market Sensei is available for iOS (https://itunes.apple.com/us/app/market-sensei-stock-predictions/id1191375706) and Android (https://play.google.com/store/apps/details?id=com.kwete.marketsensei&hl=en ) devices as well as on the web. at www.stockmarketsensei.net .
About Expat Inc.
Expat Inc. is a pioneer in machine learning technology that develops various solutions for internal usage and business partners that add value to everyday life. The company's primary product is Market Sensei, a reliable stock market prediction platform that offers low, high, open, and close price predictions for thousands of U.S. market stocks. The platform runs on Expat's patented machine learning technologies that can turn vast amounts of financial and individual company data into actionable predictions. For more information, visit www.expatinc.com.
CONTACT: Courtney Cohen, 312 750 0871, [email protected]
SOURCE Expat Inc.
Related Links
WANT YOUR COMPANY'S NEWS FEATURED ON PRNEWSWIRE.COM?
Newsrooms &
Influencers
Digital Media
Outlets
Journalists
Opted In
Share this article