AINSTEIN is AI-based platform that allows for interconnecting specific tasks, from clustering to pattern identification and execution.
Our platform AInstein has the following characteristics:
Able to create
small pieces or robots, using different types of AI techniques, such as Deep Learning, statistical models and quantitive financial mathematics.
AInstein uses the latest
developments in AI and propietary algorithms optimization rules which allows to get the answer in a fast and reliable way. The processing time of the data is fast (of the order of the second on CPU) allowing for real time market screening.
The combination of the last generation techniques
of battle-tested statistical methods and modern Machine learning techniques like Deep learning, allows to create the best optimised algorithms for market predictions. The core AI algorithm relies on the processing of the data by deep neural networks (DNNs) which is the key technology in order to reach the best performances for market situation identification.
More of the combination of the last generation techniques:
Additional data regarding the market, like news, social media data can be added on top of the financial data in order to improve the performances of the model used for detection.
Thanks to Deep Learning, our algorithms can easily adapt to other types of assets. The performances of the models are tuned in order to predict the best risk scores for the allocation with minimum volatility.
Ainstein connects the robots
together like a Factory of Robots, where you can combine them in a different way for a specific task.
We created Explainable AI Algorithms
The model explains why the decision is taken and can visually show similar past data patterns.
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