Press Release: Fintech Genome Introduces Our Algorithm
Press Release
Press Release: Tel Aviv, Israel, November 8th, 2016– FinTech company “I Know First”’s algorithm featured by FinTech Genome in article titeled “Artificial Intelligence in Wealth management – Fintech listings“
Fintech Genome is the P2P Fintech knowledge platform, they facilitate discussions about the democratisation of finance through technology.
I Know First has just been accepted into the wealth management division, and the project has further elaborated on how I Know First has been successful in discovering investment opportunities using AI. As explained, “These powerful predictive analytics are based on Artificial Intelligence and Machine Learning with elements of Artificial Neural Networks and Genetic Algorithms; results are delivered on your mobile; another enhancement for DIY traders.”
Our mention is found in the Predictive Analytics section of the piece and talks about our daily forecast predictions. The article highlights our ability to use a powerful algorithm that is self-learning, an integral part of our product.
How Our Algorithm Works
The system is a predictive stock forecast algorithm based on Artificial Intelligence and Machine Learning with elements of Artificial Neural Networks and Genetic Algorithms incorporated in it.
This means the algorithm is able to create, modify, and delete relationships between different financial assets. Based on the relationships and the latest market data, the algorithm calculates its forecasts. Since the algorithm learns from its previous forecasts and is continuously adapting the relationships, it adapts quickly to changing market situations.
The I Know First Market Prediction System models and predicts the flow of money between the markets. It separates the predictable information from any “random noise”. It then creates a model that projects the future trajectory of the given market in the multidimensional space of other markets.
For more information, visit I Know First.
CONTACT:
Ido Brana
I Know First
Phone Number: 972-54-4979706
Email Address: [email protected]
