Gandalf Project was founded from the encounter between the world of engineering and finance. "AI" (Artificial Intelligence) is a branch of engineering that deals with computer techniques to replicate some of the processes characteristic of biological organisms, able to solve complex problems such as trading decisions.
In particular, in the eighties, with the advent of early computers, some large financial institutions fueled research in the field of genetic algorithms and neural networks. It passed by the validation of discretionary systems, optimization of automated systems, through the characterization of models of risk management.
Gandalf Project goes beyond.
The principle was to make the machine determine what is profitable and what is not on the specific market. No more a technological aid to smooth out the defects of systems tested, but a source of new systems with different time horizons and complexity theoretically unlimited. So we developed tools oriented to the determination of financial time series statistics inefficiencies that would allow to customize artificial investors. The statistical framework was subsequently enriched by forms of money and position management to enhance performance and to reduce risk.
Only two reference points: solidity of the models used and replicability of results.