gAin-Q®
gAin-Q® — Garay family AI trade lab. Founder: John Francis Garay. Rancho Cordova, CA USA. Home Garage. May 1, 2026.

Garay Family AI Trade Lab

Markets, explained.
Built by a family, for a family.

gAin-Q® is an explainability-first AI system for market analysis, automated and semi-automated trading, financial literacy, and multi-generational learning. Not a black-box hedge fund.

Phase 3 ✓ Backtest engine live Phase 2 — paper trading next

What this is

A working laboratory — Python orchestration, C++ hot paths, Claude as a reasoning partner — designed so a 12-year-old can explain every trade, and a senior can audit every signal. Every decision is logged. Every strategy ships through a staged execution discipline before it ever touches real capital.

Explainability first

A strategy a child can describe beats one only a quant can. If we can't explain it, we don't ship it.

Family-rooted

Built to teach. The lab is also the classroom — a multi-generational tool for financial literacy.

Audit everything

Every trade, signal, and AI conversation is recorded. Memory is the ledger.

Staged discipline

Sim → paper → small live → scaled. Stages are never skipped, no matter how confident the model is.

Where we are

  1. ✓ Phase 1. Python + C++ scaffold with pybind11 bridge.
  2. ✓ Phase 2. Data spine (Alpaca, Parquet warehouse). Awaiting API keys.
  3. ✓ Phase 3. Event-driven backtest engine in C++.
  4. → Phase 4. Paper trading. Strategy critique loop with Claude.
  5. · Phase 5. Small live capital. Family-only dashboard.