Math
unbiased.
Artificial intelligence and neural network models have shown that it can be possible to predict, with statistical significance, short term market fluctuations by studying historical trends. This knowledge creates the opportunity to generate alpha.
Applying science to foretelling
Alpha AI began as an academic research project to investigate whether the use of advanced mathematical algorithms and artificial intelligence models could reliably understand market trends and generate signals which could allow consistent alpha generation.
Early results were promising and after extensive research and testing, it is our researchers’ evidenced-based belief that our specific process and underlying models can under certain conditions generate trading signals that reliably indicate profitable trading opportunities.
Preliminary ‘live’ (specifically, not backtest based) scenarios in cryptocurrencies support this hypothesis, but the theory is that the math should hold for any asset class. In order to credibly demonstrate this we created Ravensbourne Capital where we plan to, in the fullness of time, run accounts that will show auditable track records for qualified, interested parties to examine.
We welcome academics, investment experts and AI enthusiasts to get in touch for preliminary results of what could be a breakthrough in quantitative trading, and to discuss potential applications of the underlying technology far beyond the financial markets sphere.
Alpha AI: An academic investigation of the possibility of alpha generation using artificial intelligence methods across multiple asset classes.
Interested?
For more information about the mathematics please get in touch. If you are interested in the alpha already generated by our model, please request access to password protected sections via our contact form.
Alpha AI is not a fund and does not have any vehicles open for investment at the moment, but in the future this will be managed by Ravensbourne Capital.