Battle Between Trading Machines: Trading More Accurately

Changed meeting date to 15th of June, Thursday

Meet others in Helsinki area to discuss the state of artificially intelligent trading algorithms, and how could large language models (LLMs) be combined with them. Meeting is intended to be an open discussion. For a more hands-on implementation, we start off with a demo of AlgoStakes® platform supporting deep ultra-high-frequency data (DUHF) simulations.

In the *demo part* of the meeting, Rayleigh Research, a company based in Helsinki and the producer of the AS platform, show a simple example of a machine/deep learning trading algorithm that would serve as a skeleton for further refinement. Skeleton algorithms can be edited and simulated using UHF order-book data from centralised and/or de-centralized exchanges.

The *discussion part* of the meeting is intended to be related to editing such skeleton algorithms or indeed integrations to LLM, or generally speaking integrating AI more meaningfully. Ideas how to make the algorithm more intelligent or better performing (wrt PnL) in practice will be discussed, and practical DUHF trading simulations may be prepared for the next meeting.

Note: This is an offline event at a physical location. Please RSVP and update your status if you are not attending – space for this meeting will be limited. Note also that the physical location is subject to change, but it will in any case be in downtown Helsinki or close by. No Zoom or Discord access guaranteed.