Druid A.I.

predictive analysis

Druid is an Artificial Intelligences that aims to be the state of the art in the field of time series prediction. Its first application of the Druid is in the financial sector.

Signal rules

DRUID’s algorithms and neural networks offer a comprehensive approach to analyzing the pricing of financial assets, which is often influenced by complex emotional factors. These tools analyze prices and volumes to provide a complete horizon for investment strategy. The algorithms are based on technical analysis and indicators, while neural networks can identify anomalies and generate independent signals to enhance decision-making.

trend follower

DRUID’s predictions are based on technical analysis, which is its first fundamental pillar. The platform currently uses three ‘trend follower’ algorithms - Aglovale, Bleoberis, and Caradoc - which compete to generate alpha with minimum volatility. Each algorithm is based on different rules and technical indicators. A fourth algorithm, Mordred, selects the best algorithm based on dynamic backtesting and evaluates its confidence level. The chosen algorithm produces signals for the selected stock, and this process repeats weekly. Mordred also measures the average alpha generated over different time periods and the downside volatility to determine the confidence level on a scale of 0 to 100.

Roadmap