Quantora documentation

A living overview of how Quantora thinks about markets, connects to venues, and turns ideas into executable strategies.

1. Overview

Quantora is an AI-native trading surface that sits above your existing exchanges and brokers. You bring accounts and capital; Quantora brings the regime engine, signal layer, and risk brain.

These docs will stay light until public beta. As the product evolves, this page becomes the canonical reference for how the stack fits together.

2. High-level architecture

At a high level, Quantora is made up of three layers:

  • Market layer — data ingestion, cleaning, and feature building across venues.
  • Intelligence layer — AI regime models, signal engines, and narrative summarization.
  • Execution & risk layer — routing, limits, risk checks, and observability.

During early access, this architecture runs in a hardened, hosted environment. Later, parts of the stack may be deployable closer to your own infra.

3. Connections

Quantora connects to exchanges and brokers using standard API keys. In alpha, supported venues focus on crypto, FX majors, gold, and index products.

  • Read-only keys are recommended for early explorers.
  • Trading keys use per-venue scopes and kill switches.
  • Keys are encrypted at rest and never shown back in plain text.

4. Strategies & Signal Studio

Signal Studio is where you describe ideas in natural language and let Quantora turn them into executable strategies with testable logic.

  • Start with a simple idea (e.g. "London session mean reversion in FX majors").
  • Quantora proposes entry, exit, filters, and risk parameters.
  • You backtest, tweak, and promote to paper trading before going live.

This process is designed to remove busywork while still keeping you in control of assumptions and risk.

5. Risk & limits

The Smart Risk™ layer is responsible for understanding exposure, enforcing limits, and flagging drift before it hurts.

  • Account- and portfolio-level drawdown constraints.
  • Per-strategy max allocation and trade size bands.
  • Scenario views for "what if volatility doubles?" and similar shocks.

In early stages, all of this runs in paper mode so you can learn how the system behaves before wiring real risk.

6. Roadmap (high level)

The current roadmap focuses on hardening the console, expanding venue coverage, and opening up more automation surfaces.

  • Short term — richer console views, more assets, better explanations.
  • Mid term — shared workspaces for teams and desks.
  • Long term — programmable "Quantora Apps" built on top of the core stack.

If you care about where this goes, joining the waitlist and sharing what you trade helps shape the roadmap.