01 /DATA FIRST
Our investment philosophy focuses on the power of deep learning to crunch large datasets and learn optimal trading strategies from historical data. Online learning enables to adapt to the last market conditions
02 / SYSTEMATIC
We take a scientific approach at every step of our development process, from selecting the system inputs to analysing the trade execution.
03 / ADAPTIVE
Our AI has the power to learn, adapt and master new conditions. Adaptive learning keeps MCAI ahead of a dynamic market.
For our AI algorithms, it doesn't matter where the data comes from
For example it can learn from crypto-currency, equity markets or other time series.
PROCESSING OF SENTIMENT DATA
EXTRACTION OF PREDICTIVE SIGNAL FROM HIGH DIMENSIONAL DATASETS
SELF-LEARNING OF RELEVANT FEATURES THANKS TO NEURAL NETWORKS
PhD in Bioengineering from UCL
Prev. UBS FX Investment Bank
MSc Mechanical Engineering ETH Zurich
PhD in Biophysics from Imperial College London
MSc Theoretical physics Politecnico di Torino
PhD in Computational Neuroscience from Imperial College London
Prev. Software developer
MSc TU München.
MSc Centrale Marseille
Founder Tab Media Series B
BSc Political Science
Head Markets & Trading
Derivatives Trading & Quantitative Research (Deutsche Bank & Barclays Capital, 15 years)
Masters in Finance, London Business School
MEng Computer Science, Imperial College