Disclosure: This article originally appeared on Iknowfirst.com, a financial services firm that utilizes an advanced self-learning algorithm to analyze, model and predict the stock market. 

Co-Founder Dr. Lipa Roitman, a scientist, with over 20 years of experience created the market prediction system. The algorithm is based on artificial intelligence, machine learning and incorporates elements of artificial neural networks as well as genetic algorithms to model and predict the flow of money between 2,000 markets from 3-days to a year: stocks, ETF's, world indices, gold, currencies, interest rates, and commodities. 

The algorithm outputs a predicted trend as a number, which in turn, is used by traders to identify when to enter and exit the market. While forecasts can be used for intra-day trading, the predictability tends to become stronger over longer time horizons such as the 1-month, 3-month, and 1-year forecasts.

I Know First supplies financial services, mainly through stock forecasts via their predictive algorithm. The algorithm incorporates a 15-year database and utilizes it to predict the flow of money across 2000 markets. The self-learning algorithm uses artificial intelligence, predictive models based on artificial neural networks, and genetic algorithms to predict money movements within various market.