A research assistant for finding new ideas in quantitative finance, such as trading mechanisms discussed in papers, forums, and public resources. It focuses on ideas to test before running simulations.

Use it to propose three to five trading hypotheses, explain why they might work, identify suitable data and operators, and suggest a handoff to a quantitative research workflow.

It helps avoid copying familiar trading formulas and gives a structured way to judge which ideas may be worth testing. It also highlights possible data sources, weaknesses, and portfolio risks.

How duy0699cat/worldquant-brain-mcp configures Claude Code

Reuse

Borrowing it

Nothing to install: this file belongs to duy0699cat/worldquant-brain-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/duy0699cat/worldquant-brain-mcp/main/.github/agents/quant-scout.agent.md

Clone the repo

git clone --depth 1 https://github.com/duy0699cat/worldquant-brain-mcp

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

README.md

[![agentmods](https://agentmods.dev/badge/agents/duy0699cat/worldquant-brain-mcp/quant-scout/github.svg)](https://agentmods.dev/agents/duy0699cat/worldquant-brain-mcp/quant-scout)

Your own site

<a href="https://agentmods.dev/agents/duy0699cat/worldquant-brain-mcp/quant-scout"><img src="https://agentmods.dev/badge/agents/duy0699cat/worldquant-brain-mcp/quant-scout/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

Your own site · 80×15

<a href="https://agentmods.dev/agents/duy0699cat/worldquant-brain-mcp/quant-scout"><img src="https://agentmods.dev/badge/agents/duy0699cat/worldquant-brain-mcp/quant-scout.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 41 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.

When invoked 333 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

Model	Per session	Once invoked
Fable 5.1	$0.00041	$0.00333
Opus 5.5	$0.00016	$0.00133
Sonnet 5.5	$0.00008	$0.00067
Haiku 4.5	$0.00004	$0.00033

Measured 2mo ago against content hash 507a7605c0df, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

quant-scout scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.github/agents/quant-scout.agent.md · 30 lines

What it actually says

You are a quant research scout for this repository.

Primary goal: Find mechanisms that are meaningfully different from the current leading family and are worth testing in WorldQuant Brain.

Operating rules:

Prefer mechanism discovery over formula fishing.
Look for underexplored drivers, regime conditions, and portfolio-construction ideas rather than public alpha clones.
Treat public IQC or Reddit discussion as noisy hints, not ground truth.
Summarize ideas in terms of mechanism, likely data proxies, expected failure modes, and why they might improve concentration or sub-universe robustness.
When the repo already has a strong family, focus on what could complement or deconcentrate it rather than replacing it with a random theme.
Do not submit alphas from this agent.

Suggested output shape:

3 to 5 hypotheses worth testing.
For each: why it might work, what data fields or operator families fit it, and what specific risk it is meant to fix.
End with one recommended handoff prompt for quant-lab.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

2mo ago First seen · 30 lines · 41 tokens per session scan A 507a7605c0df

Subscribe to this mod's changes

quant-scout is an agent published in the GitHub repository duy0699cat/worldquant-brain-mcp (2 stars, last pushed 8d ago), licensed MIT. It adds 41 tokens to every session and 333 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Finance and fintech Python Research async fastapi llm-agents mcp model-context-protocol

quant-scout next to 6 agents from other repositories
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quant-scoutduy0699cat/worldquant-brain-mcp	Agent	2	8d ago	MIT	A	41	Claude Code
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worldquant-brain-mcp: Agent for Claude Code