Our transparent, unbiased technology uses Natural Language Processing (NLP) algorithms to aggregate and analyze financial data online to provide a data-driven measure of accuracy based on the statistical ability of an expert to generate profit and make correct stock recommendations.
More than 250 million people visit U.S. financial-news websites every month, and the millions of investors are exposed to stock recommendations without knowing who is consistent and worth listening to. For example:
– An average of 34 stocks will have conflicting Buy & Sell recommendations in the same month on the major New York exchanges alone.
– As the SEC notes: “Many analysts work in a world with built in conflicts of interest.”
– 86.5% of analysts’ ratings are “Buy,” and they are wrong 50.2% of the time.
Tip Ranks is a source of objective facts amid all of the opinion, spin, and conflicts of interest in the finance world. We empower individual investors by giving them access to the same technology that financial managers have.