Analyze markets

Finance, quant, and market analysis skills for agents

Find skills for financial research, market data, quant backtesting, portfolio analysis, SEC filings, trading research, and investor workflows.

Try this task

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

Agent should be able to

  • +Retrieve market data
  • +Compare financial signals
  • +Generate investor-ready analysis

Workflow map

What to build with these skills

01

Analyze public companies

02

Backtest quant strategies

03

Track portfolios and risk

04

Summarize filings and market data

Best first installs

Start with high-signal skills

18 matched skills

Lumibot

VERIFIED

Backtestable AI trading agents and Python algorithmic trading strategies for stocks, options, crypto, futures, forex, SEC filings, FRED macro data, and real brokers.

1.7K stars64 qualityJun 11, 2026 push
$ npx skills add Lumiwealth/lumibot

StockSharp

VERIFIED

Algorithmic trading and quantitative trading open source platform to develop trading robots (stock markets, forex, crypto, bitcoins, and options).

10K stars71 qualityJun 6, 2026 push
$ npx skills add StockSharp/StockSharp

Vectorbt

VERIFIED

The backtesting engine that gives you an unfair advantage. Run thousands of trading ideas before others finish one.

7.9K stars69 qualityJun 10, 2026 push
$ npx skills add polakowo/vectorbt

Skill shortlist

More options for this use case

Browse full marketplace

Ticker

finance

Track stocks, crypto, and derivatives prices and positions in real time from your terminal

6.1K stars68 quality

PyPortfolioOpt

finance

Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity

5.8K stars68 quality

OpenBB

finance

Financial data platform for analysts, quants and AI agents.

69K stars77 quality

Ta

finance

Technical Analysis Library using Pandas and Numpy

5.1K stars65 quality

Hummingbot

finance

Open source software that helps you create and deploy high-frequency crypto trading bots

19K stars73 quality

Stock

finance

stock股票.获取股票数据,计算股票指标,筹码分布,识别股票形态,综合选股,选股策略,股票验证回测,股票自动交易,支持PC及移动设备。

13K stars69 quality

FinanceDatabase

finance

This is a database of 300.000+ symbols containing Equities, ETFs, Funds, Indices, Currencies, Cryptocurrencies and Money Markets.

7.9K stars69 quality

Rqalpha

finance

A extendable, replaceable Python algorithmic backtest && trading framework supporting multiple securities

6.5K stars68 quality

Superalgos

finance

Free, open-source crypto trading bot, automated bitcoin / cryptocurrency trading software, algorithmic trading bots. Visually design your crypto trading bot, leveraging an integrated charting system, data-mining, backtesting, paper trading, and multi-server crypto bot deployments.

5.5K stars68 quality

Hikyuu

finance

Hikyuu Quant Framework 基于C++/Python的超高速开源量化交易研究框架,同时可基于策略部件进行资产重用,快速累积策略资产。

3.2K stars66 quality

Xalpha

finance

基金投资管理回测引擎

2.5K stars66 quality

Daily Stock Analysis

agent-frameworks

LLM驱动的 A/H/美股智能分析:多数据源行情 + 实时新闻 + LLM决策仪表盘 + 多渠道推送,零成本定时运行,纯白嫖. LLM-powered stock analysis system for A/H/US markets.

42K stars76 quality

Qlib

finance

Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions. Qlib supports diverse ML modeling paradigms, including supervised learning, market dynamics modeling, and RL, and is now equipped with https://github.com/microsoft/RD-Agent to automate R&D process.

44K stars73 quality

Barter Rs

finance

Open-source Rust framework for building event-driven live-trading & backtesting systems

2.2K stars65 quality

Claude Scientific Skills

utility

A comprehensive collection of ready-to-use scientific and research skills for AI agents.

28K stars75 quality

FAQ

How to choose skills for this workflow

These answers are written for both human builders and agents consuming the Registry API.

What are the best AI agent skills for finance and quant?

Start by comparing Lumibot, StockSharp, Vectorbt. OpenAgentSkill ranks them by workflow fit, GitHub adoption, quality, and install readiness.

Can an AI agent use this page directly?

Yes. Use the linked Registry API prompt to query /api/skills/search with the task: "I need my agent to analyze markets, financial data, filings, portfolios, and quant strategies." and retrieve install handoff links for the top results.

Should I install every recommended skill?

No. Start with the highest-fit skill, test it in a sandbox workflow, and add companion skills only when the task needs extra coverage.