Since inception in 2017, Magic Carpet has applied the latest research in Artificial Intelligence to financial markets.
Deep and reinforcement learning, two subdomains of machine learning, possess generalization abilities beyond our imagination.
Our proprietary investment architecture is constructed by fusing unique data transforms with deep neural networks which include convolutions, dense layers, smart memories and reinforcement learning methods.
A systematic approach
to big data
We are ruthless in the pursuit of statistical significance and systematic in our approach to surgically removing overfitting.
Our proprietary liquidity model achieves a level of market adaptability that cannot be replicated by traditional quant algorithms.
MCAI models propagate millions of data-points through multi-layered Neural Networks, resulting in naturally evolving algorithms which respond to underlying patterns in asset/risk pricing.