I Know First’s predictive algorithm was presented in an article on Medium – portal where people around the world can share their ideas on virtually any topic. The article is about machine learning and its applications on the stock market. In this article, the author discusses the popularity of artificial intelligence and machine learning these years. He argues that the success of Alphago algorithm, the increasing convenience of data collection and the development of hardware all attributes to the wide spread of AI applications.

Besides, the author mentions that AI can be used to forecast the stock market with massive data and help investors with decision making. AI is capable of analyzing massive data and discover hidden market trends. He concludes that in order to build a trustworthy model, we can’t rely on simple information because the market is affected by so many factors.

Then the author features our trading algorithm and mentions that our model makes use of more than 15 years of data, which is why our forecasts are accurate. By presenting how the predictive AI works, the author discusses the 2 indicators I Know First uses, namely signal and predictability.

I Know First’s model is indeed 100% empirical, meaning it is based on historical data and not on any human derived assumptions. The human factor is only involved in building the mathematical framework and initially presenting to the system the “starting set” of inputs and outputs. From that point on, the algorithm trains itself on a huge amount of complex data. It’s able to learn from previous forecasts and adapt to the continuously changing financial market.

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I Know First, Ltd. is a financial technology company that provides daily investment forecasts based on an advanced, self-learning algorithm. Thus, the company’s algorithm predicts over 10,500 securities (and growing). Thus, it has capabilities to discover patterns in large sets of the historical stock market data.

The underlying technology of the algorithm based itself on Artificial Intelligence. It also based itself on machine learning and incorporating elements of artificial neural networks and genetic algorithms. Moreover, the algorithm generates daily market predictions for stocks, commodities, ETF’s, interest rates, currencies, and world indices for not only short but also for medium and long-term time horizons.

If you want to have access to more information about this topic, visit I Know First.