I Know First

Stock Market Forecast and Investment Selection By Using Artificial Intelligence.


I Know First is a fintech company that provides state of the art self-learning, AI based algorithmic forecasting solutions for the capital markets to uncover the best investment opportunities. The company provides daily investment forecasts based on an advanced, self-learning algorithm. The AI Algorithm was developed by Dr. Lipa Roitman, a scientist with over 20 years of research and experience in artificial intelligence (AI) and machine learning (ML) fields, who leads our Research & Development team to further develop and enhance the algorithm. Dr. Lipa Roitman is an R&D Chemist with a long record in computer modeling of processes, product development and process development. The concept of the current algorithm has crystallized following years of prior research into the nature of chaotic systems. His unique R&D team consists of PhD’s and AI and Machine Learning experts, including IDF intelligence veterans and consults with Prof. Yakov Yakubov, a mathematician from Tel Aviv University.
The underlying technology of the algorithm is based on artificial intelligence, machine learning, and incorporates elements of artificial neural networks and genetic algorithms through which we analyze, model, and predict the stock market. The algorithm is adaptable, scalable, and features a Decision Support System (DSS) to optimize the information produced by the years of data inputted. The algorithm generates daily market predictions for stocks, commodities, ETF’s, interest rates, currencies, and world indices for the short, medium and long term time horizons.

The I Know First algorithm is designed for large financial institutions, banks, and hedge funds in the capital market as well as private investors looking for an advanced algorithmic support system. The algorithm is currently tracking and predicting a growing universe of over 10,000 financial assets.


Providing AI based forecast to institutional and retail client from all over the world during this volatile period.


– The I Know First self-learning algorithm analyzes, models, and predicts the stock market. The algorithm is based on Artificial Intelligence (AI) and Machine Learning (ML), and incorporates elements of Artificial Neural Networks and Genetic Algorithms.

– Process

– The system outputs the predicted trend as a number, positive or negative, along with a wave chart that predicts how the waves will overlap the trend. This helps the trader to decide which direction to trade, at what point to enter the trade, and when to exit.

– Since the model is 100% empirical, the results are based only on factual data, thereby avoiding any biases or emotions that may accompany human derived assumptions. The human factor is only involved in building the mathematical framework and providing the initial set of inputs and outputs to the system.

– The algorithm produces a forecast with a signal and a predictability indicator. The signal is the number in the middle of the box. The predictability is the number at the bottom of the box. At the top, a specific asset is identified. This format is consistent across all predictions.



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