Awesome Quant AI

STRONG · 85
Community indexed

A curated list of awesome resources for quantitative investment and trading strategies focusing on artificial intelligence and machine learning applications in finance.

Downloads 0
Stars 366
Version 1.0.0
Quality 77/100 · Strong
Trust 85/100 · Strong shortlist
Audit 86/100 · Safe to try

Supply asset profile

Finance and quant workflows

Market data, SEC filings, portfolio analysis, quant research, backtesting, and risk workflows.

Browse track

Scenario

Finance and quant

I need my agent to analyze markets, financial data, filings, portfolios, and quant strategies.

Agent fit

Claude Code + CLI + Codex

Codex, Claude Code, Cursor, CLI, or custom agents.

Install

Ready

npx skills add leoncuhk/awesome-quant-ai

Maintenance

active

2mo since push

Risk

Safe to try

Quality score needs review

GitHub quality

366

77/100 quality · 85/100 trust

Coverage tags

FinanceFinance and quanttradingautomationai

Review notes

Quality score needs review

Agent adoption scorecard

Trust, audit, and install readiness at a glance

These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.

Quality

Strong
77

Solid option that is likely worth shortlisting for production workflows.

Trust

Strong shortlist
85

Good trust signals with a few areas worth checking before rollout.

Audit

Safe to try
86

Install readiness, security metadata, maintenance, and adoption risk.

Agent safety v2

70/100 · Review before install

Reviewedreview

Good audit and safety signals with no high-risk permission hints in public metadata.

Review the audit page, then allow agent install in a sandboxed workflow.

Resolve via API

medium

Network access

Skill likely fetches remote pages, APIs, repositories, or external services.

medium

Filesystem access

Skill may read or write project files, documents, generated artifacts, or local workspace state.

  • Quality score needs review

Install targets

Install this skill in your agent workflow

Copy the registry command or an agent-specific install prompt for Codex, Claude Code, and Cursor.

skill install

OpenAgentSkill CLI

Use the registry command when your workflow supports the OpenAgentSkill installer.

$ npx skills add leoncuhk/awesome-quant-ai

Agent resolve plan

Let an agent verify fit before installing.

The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.

Open text plan

Agent should check

  • Task fit and alternatives from Resolve API.
  • Audit score, trust score, and safety policy warnings.
  • Install target compatibility for Codex, Claude Code, Cursor, or CLI.

Copy prompt

Task: Use Awesome Quant AI in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20Awesome%20Quant%20AI%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/leoncuhk-awesome-quant-ai/install
Install command: npx skills add leoncuhk/awesome-quant-ai
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.

Agent handoff

Give an agent the install path, not another directory page.

Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.

Open install API

Agent prompt

Use Awesome Quant AI for this task. Review https://www.openagentskill.com/api/skills/leoncuhk-awesome-quant-ai/install, then install with: npx skills add leoncuhk/awesome-quant-ai

Registry metadata

Agent-readable profile for automatic skill selection.

This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.

Open manifest

Agent fit

76/100

Finance and quant

Platforms

Jupyter Notebook, Trading, Claude Code

Audit report

Safe to try · 86/100

Review install readiness, maintenance, trust, quality, and metadata warnings before adding this skill to an agent workflow.

View audit report

Agent decision cockpit

Companion skill for Finance and quant

Shortlist this skill and compare it with close alternatives before production adoption.

76
Readiness
Shortlist
Stage

Role in stack

Companion skill

Primary fit

Finance and quant

Trust label

Strong shortlist

Install path

Command ready

Use when

  • Finance and quant workflows
  • Claude Code teams
  • builders willing to evaluate younger projects

Evidence

  • recent repository activity
  • install command or GitHub repo available
  • 77/100 quality profile

Review first

  • No OpenAgentSkill engagement data yet

Implementation path

  1. 1Install it in a sandbox agent and run one Finance and quant task end to end.
  2. 2Compare output quality, latency, and failure behavior against at least one alternative.
  3. 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.

Trust profile

Strong shortlist

Good trust signals with a few areas worth checking before rollout.

85
Trust score

GitHub adoption

INFO

366 GitHub stars

Recent maintenance

PASS

2mo since push

License clarity

PASS

Apache-2.0

README/SKILL.md completeness

PASS

Metadata includes enough usage and workflow context

Good signals

  • AI review approved
  • Install path is available
  • Repository evidence is available
  • Recently maintained repository

Review before install

  • Quality score needs review

Recommended action

Test in a sandbox workflow and compare its install path with close alternatives.

Quality profile

Strong candidate for agent workflows

Solid option that is likely worth shortlisting for production workflows.

77
GitHub stars
366
Freshness
2mo ago
Install ready
Yes
License
Apache-2.0

Workflow fit

Use this skill in these scenarios

Stack fit

Add it to a complete workflow

Alternative shortlist

Compare before you install

Similar skills in this category, ranked with the same readiness and quality signals.

Compare all

Overview

A curated list of awesome resources for quantitative investment and trading strategies focusing on artificial intelligence and machine learning applications in finance.

Imported by the skill-only GitHub discovery pipeline because it matches agent skill, automation, domain workflow, RAG, document-processing, data, finance, security, or developer-tool signals. Protocol-server projects are excluded from automated imports.

Platform Compatibility

jupyter-notebookFULL
tradingFULL

Technical Details

Version
1.0.0
License
Apache-2.0
Last Updated
6/12/2026
Published
6/12/2026

Frameworks & Tools

Jupyter NotebookTrading

Decision snapshot

Companion skill

76
Ready
Shortlist
Stage

recent repository activity

Audit Snapshot

Install and adoption review

86
Safe to try
Security
95/100
Maintenance
88/100
Install
92/100
Open full audit

Growth loop

Share this skill

X

Scenario-led draft for Awesome Quant AI, with the OpenAgentSkill Update theme and canonical URL.

OpenAgentSkill Update
Today: Awesome Quant AI

Use it when you want an agent to turn market noise into source-backed research, ranked candidates, and risk...

366 stars - finance
Link: https://www.openagentskill.com/skills/leoncuhk-awesome-quant-ai?ref=x
#AIAgents #OpenAgentSkill
Open X draft
Optional reply with install command
Link for Awesome Quant AI:
https://www.openagentskill.com/skills/leoncuhk-awesome-quant-ai?ref=x

Install: npx skills add leoncuhk/awesome-quant-ai

Listing source

Community indexed

Claimable

This listing was indexed from public sources and is not marked official until a maintainer claim is approved.

Creator
leoncuhk
Indexed by
OpenAgentSkill community index

Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.

Claim this skill

Owner claim

Claim this skill listing

This community indexed listing is attributed to leoncuhk but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.

README badge

Add this badge to your GitHub README to show the listing, trust score, and install handoff.

[![OpenAgentSkill](https://www.openagentskill.com/api/badge/leoncuhk-awesome-quant-ai)](https://www.openagentskill.com/skills/leoncuhk-awesome-quant-ai)

Author

L

leoncuhk

@leoncuhk

Platform Fit

Health Signals

GitHub stars
366
Quality score
49/100
Last GitHub push
Apr 29, 2026
Framework hints
2
OpenAgentSkill views
0
Install copies
0
Outbound clicks
0

Community Signal

Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.

Trust & Safety

Strong shortlist

85
  • GitHub adoption366 GitHub starsINFO
  • Recent maintenance2mo since pushPASS
  • License clarityApache-2.0PASS
  • README/SKILL.md completenessMetadata includes enough usage and workflow contextPASS
  • Dependency riskno major dependency risk hints in public metadataPASS
  • Install availabilitynpx skills add leoncuhk/awesome-quant-aiPASS