I Know First Provides Advice to the Novice and Professional Investor: As the financial market evolves in conjunction with technology, traditional tools and fundamental analysis no longer offer sufficient information for most investors to stay competitive. In the emerging algorithmic trading field, I Know First offers assistance to investors of all backgrounds.
The innovative self-learning algorithm developed by Dr. Lipa Roitman, a scientist with over 20 years of experience in artificial intelligence (AI) and machine learning (ML) and co-founder of I Know First: Daily Market Forecast, produces daily forecasts which regularly recognizes major market opportunities.
The impressive returns from the algorithmic predictions have earned I Know First recognition from a variety of business evaluators.
Their algorithm helps both the novice and the professional investor by sending its subscribers daily forecasts and predictions prior to market open.
The I Know First algorithm claims superiority over most algorithmic strategies because it produces 2 outputs: a signal and a predictability indicator. The signal indicates the predicted direction and the magnitude of the predicted movement. The predictability indicator is the historical correlation between the algorithmic prediction and the actual market movement for each particular asset. This indicator is exclusive to the I Know First algorithm.
I Know First bases their system on machine learning and artificial intelligence, with elements of artificial neural networks and genetic algorithms incorporated as well.
Their ability to follow over 1,400 markets allows them to provide daily predictions for stocks, currencies, commodities (including gold and other precious metals), world indices, interest rates, and ETF’s. This helps the professional investor make more informed decisions and helps the novice investor understand what would otherwise be mountains of foreign concepts.
Their empirical model, based purely on historical data and trends, ensures that human emotion and assumptions do not influence any of the predictions. The system constantly proposes theories. The system then runs back tests on data and accepts the theory if it improves the system, but rejects the theory if it does not.
The self-learning system employed by I Know First is live, so it evolves as the company does.