2026 cohort
Five programs.
HEFESTO is the environment around the model. KRATOS is the control plane over the CLIs you already pay for. THEMIS is Financial Data Engineering. ZEUS Engine is the institutional research factory. AQUILES is Data Mining Rule Induction & Extraction Reloaded. They do not mix.
HEFESTO
The system that controls the agents. Labs on the student’s repo.
KRATOS
kratos-cli.exe. Deterministic control plane ($20/mo license).
THEMIS
Financial Data Engineering & Point-in-Time.
ZEUS Engine
One course. Six internal phases.
AQUILES
Data Mining Rule Induction & Extraction Reloaded. Distinct program — not a ZEUS phase.
Ten technical phases. Fifteen academic modules (I–XV) live inside them. Coursework clock is not sealed. Recorded tutorials: 2 / month (a different clock). Not Kratos.
KRATOS · Control plane
Not another agent
YOU WILL USE KRATOS-CLI.EXE UNDER A CONTROLLED LICENSE DURING THE TRAINING PROCESS
Kratos is the deterministic control-plane software executable (kratos-cli.exe) you will operate under a controlled license ($20 / month) throughout your HEFESTO training to govern, seal, and construct autonomous agent pipelines.
Software runtime and deterministic control plane for HEFESTO students ($20/mo license). Not sold as an independent course.
THEMIS · Financial Data Engineering
Point-in-Time architecture.
Twelve academic modules · 36 chapters. Professional Capstone is the Financial Data Center Reference Implementation, outside 12/36. Coursework clock is not sealed.
ZEUS Engine · Institutional quant research
A factory. Not a trading system.
One course. Phases are internal, not separate products. Orientation is outside 14/42. Coursework clock is not sealed. ARES is not taught here.
AQUILES · Data Mining Rule Induction & Extraction Reloaded
Induce explainable rules
Data Engineering
Intraday data. PIT / timestamps. Cleaning, gaps, multi-asset sync, quality.
Sampling / Bars
Time bars 1m–60m. Volume bars. Dollar bars. Compare sampling schemes.
Feature Engineering
Price/returns, volatility, volume/flow, structure, temporal, cross-asset, regime, path.
Feature Selection
Redundancy, dependence, IC, multicollinearity, FDR, temporal stability.
Rule Discovery
Induction, extraction, association, subgroup, sequential, trees → rules, RuleFit, ensembles.
Educational curriculum: 5 modules. Validation is a transversal layer, not a sixth module. Session counts and hours are not sealed.