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Tamed AI: a Neural Network-Based Trading Algorithm

Tamed AI: a Neural Network-Based Trading Algorithm

Posted on May 10, 2023

Aiverse is a system for predicting the cryptocurrency market behavior with a profit margin coefficient starting from 61.23%. Thanks to the data analyzed for 20 years of global trading activity, Aiverse has no alternatives on the market. More than 70 successful investment companies and funds already use Aiverse in their trading activities.

The best traders, mathematicians, financiers, and AI experts took part in the development of the algorithm. Moreover, various technologies and tools such as Python, TensorFlow, Keras, NumPy, Pandas, Scikit-learn, and others were used to create it. Thanks to joint efforts multiplied by several years of intense development, Aiverse’s current capabilities allow it to provide accurate forecasts of cryptocurrency market behavior and adapt to changing market conditions.

Aiverse uses machine learning and AI techniques to analyze large amounts of crypto data, including prices, trading volumes, news headlines, technical indicators, and other factors. The system can also apply various data analysis techniques, such as classification, clustering, and regression analysis, to identify the most important factors affecting cryptocurrency market behavior. These techniques help identify hidden patterns and trends in the market. The end result is recommendations on how to trade cryptocurrencies, including the best time to buy and sell, as well as warnings about changes in the market.

The main advantage of the algorithm is its artificial, self-learning neural network. It improves itself by analyzing executed trades and accumulates experience, which is also analyzed. Aiverse models nonlinear dependencies in multivariate data in cases where the relationship between input variables is difficult to analyze.

Aiverse has its official website, where you can find all the necessary information, statistics, rates for using the algorithm and their descriptions, and real-time trades and their history: https://aiverse.pro/

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