Machine Learning & Data Mining

AQUILES.

VTAlgo's flagship Data Mining program — induce robust, explainable trading rules from data with the newest AI techniques, while refusing the shortcut of over-optimization. Seven modules. Deployment is not one of them.

Flagship — AQUILES

Data Mining: Rule Induction & Extraction — IA 2026

A paid, selective-admission program that turns intraday data into auditable, explainable trading rules — seven modules, from analytical data preparation through validation, stability, and evidence.

Contact us

What AQUILES provides

Seven modules. The same names as the engine.

Analytical Data Preparation Intraday data under Point-in-Time discipline — timestamps, cleaning, gaps, and multi-asset synchronization.
Market Sampling Time, volume, and dollar bars — with rigorous comparison of sampling schemes.
Feature Engineering Price, flow, market structure, regime, cross-asset, cross-sectional, and path features.
Feature Search & Evidence Redundancy, dependence, IC / predictive information, multicollinearity, FDR, and temporal stability.
Rule Discovery, Induction & Extraction Induction, extraction, association, subgroup, sequential mining, trees-to-rules, RuleFit, and ensembles.
Rule Governance Identity, lineage, registry, and the complexity budget.
Validation, Stability & Evidence Statistical, temporal, and structural evidence. Deployment is not a module.