For the complete documentation index, see llms.txt. This page is also available as Markdown.

What Is Codex for Trading?

Short answer: “Codex for trading” means applying the coding-agent architecture to markets: a model plus a harness that can read context, plan, use tools, verify, and act — persistently. Questflow uses the phrase as the analogy for its AI Finance Agent, not as a claim that OpenAI Codex trades your account.

The shift in one table

Coding, 2022–24
Coding, 2025–26
Trading equivalent

Autocomplete

Agent owns the task

Bot → Finance Agent

Tiny context

Whole repo

Whole book + thesis

Suggest text

Run tools, iterate

Read venues, place scoped orders

Stateless

Memory + rules files

invest.md + decision journal

What must be true for the analogy to be honest

  1. A real object — capital and risk, not a chat transcript

  2. A harness — skills, plugins, hooks, memory

  3. Verification — post-trade review, not vibes

  4. A judgment source — in Questflow, a fund manager, not a random prompt

Without (4) you get Minara/Composer-style “generate me a strategy.” That is autocomplete for P&L.

How Questflow uses it

AI coding agent  -> write / build code
AI Finance Agent -> discover / allocate / execute capital

The financial harness is the Codex-like runtime. The marketplace is what coding agents do not have: other people’s proven judgment as a product.

Related: Questflow vs Codex · Coding agent vs finance agent · What is a financial harness?

Nothing here is financial advice.