Forecasting accuracy is a key metric for our customers. We are constantly improving it with the continual introduction of newer data science and machine learning techniques.
Self-learning technology is different than traditional programming. The system uses prediction models, a set of parameters that the computer can use to make decisions, and a learning component that allows the system to change the parameters based on experience. Over time, a computer transforms its own model and parameters to fit its experience with forecasts and real-world outcomes.
Codes behind deep learning technology combine time series data, media news, regulator activities, coin events (like forks), and traded volumes on the exchanges and their liquidity, etc. The smart system automates the work, leaving human experts to focus on aspects requiring expert judgment and such non-cognitive abilities as social perception and empathy. So, this gives the forecasting system an ability to optimize the results.
Our mission is the independent and objective analysis of the cryptocurrency market, and an elaboration of forecasting methodology using the latest innovations.
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