Analyze markets

Best finance and quant skills for AI agents

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

Builders choosing skills for analyze public companies and backtest quant strategies. Ranked from the OpenAgentSkill index using quality, trust, freshness, adoption, and install readiness.

30
Ranked
518K
Stars
100
Top trust

Workflow

Analyze public companies

Workflow

Backtest quant strategies

Workflow

Track portfolios and risk

#1

Lumibot

41 fitTrust 100Excellent 100

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

Excellent quality, 1.7K stars, and a 41 use-case fit score.

1.7K starsJun 11, 2026 pushProduction candidatePythonFinance
$ npx skills add Lumiwealth/lumibot
#2

StockSharp

38 fitTrust 100Excellent 100

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

Excellent quality, 10K stars, and a 38 use-case fit score.

10K starsJun 6, 2026 pushProduction candidateC#Finance
$ npx skills add StockSharp/StockSharp
#3

Vectorbt

31 fitTrust 100Excellent 100

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

Excellent quality, 7.9K stars, and a 31 use-case fit score.

7.9K starsJun 10, 2026 pushProduction candidatePythonFinance
$ npx skills add polakowo/vectorbt
#4

Ticker

31 fitTrust 100Excellent 100

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

Excellent quality, 6.1K stars, and a 31 use-case fit score.

6.1K starsMay 20, 2026 pushProduction candidateGoMarket Data
$ npx skills add achannarasappa/ticker
#5

PyPortfolioOpt

31 fitTrust 100Excellent 100

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

Excellent quality, 5.8K stars, and a 31 use-case fit score.

5.8K starsJun 8, 2026 pushProduction candidateJupyter NotebookFinance
$ npx skills add PyPortfolio/PyPortfolioOpt
#6

OpenBB

31 fitTrust 100Excellent 100

Financial data platform for analysts, quants and AI agents.

Excellent quality, 69K stars, and a 31 use-case fit score.

69K starsJun 10, 2026 pushProduction candidatePythonFinance
$ npx skills add OpenBB-finance/OpenBB
#7

Ta

30 fitTrust 100Excellent 100

Technical Analysis Library using Pandas and Numpy

Excellent quality, 5.1K stars, and a 30 use-case fit score.

5.1K starsMar 18, 2026 pushProduction candidateJupyter NotebookTechnical Analysis
$ npx skills add bukosabino/ta
#8

Hummingbot

29 fitTrust 100Excellent 100

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

Excellent quality, 19K stars, and a 29 use-case fit score.

19K starsJun 11, 2026 pushProduction candidatePythonBacktesting
$ npx skills add hummingbot/hummingbot
#9

Stock

29 fitTrust 100Excellent 100

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。

Excellent quality, 13K stars, and a 29 use-case fit score.

13K starsApr 2, 2026 pushProduction candidatePythonFinance
$ npx skills add myhhub/stock
#10

FinanceDatabase

28 fitTrust 100Excellent 100

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

Excellent quality, 7.9K stars, and a 28 use-case fit score.

7.9K starsJun 7, 2026 pushProduction candidatePythonMarket Data
$ npx skills add JerBouma/FinanceDatabase
#11

Rqalpha

28 fitTrust 100Excellent 100

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

Excellent quality, 6.5K stars, and a 28 use-case fit score.

6.5K starsJun 12, 2026 pushProduction candidatePythonTA-Lib
$ npx skills add ricequant/rqalpha
#12

Superalgos

28 fitTrust 100Excellent 100

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.

Excellent quality, 5.5K stars, and a 28 use-case fit score.

5.5K starsJun 11, 2026 pushProduction candidateJavaScriptTrading
$ npx skills add Superalgos/Superalgos
#13

Hikyuu

27 fitTrust 100Excellent 100

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。

Excellent quality, 3.2K stars, and a 27 use-case fit score.

3.2K starsJun 10, 2026 pushProduction candidateC++Backtesting
$ npx skills add fasiondog/hikyuu
#14

Xalpha

27 fitTrust 100Excellent 100

基金投资管理回测引擎

Excellent quality, 2.5K stars, and a 27 use-case fit score.

2.5K starsJun 11, 2026 pushProduction candidatePythonFinance
$ npx skills add refraction-ray/xalpha
#15

Daily Stock Analysis

27 fitTrust 100Excellent 100

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.

Excellent quality, 42K stars, and a 27 use-case fit score.

42K starsJun 11, 2026 pushProduction candidatePythonAI Agents
$ npx skills add ZhuLinsen/daily_stock_analysis
#16

Qlib

27 fitTrust 100Excellent 100

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.

Excellent quality, 44K stars, and a 27 use-case fit score.

44K starsApr 22, 2026 pushProduction candidatePythonFinance
$ npx skills add microsoft/qlib
#17

Barter Rs

27 fitTrust 100Excellent 100

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

Excellent quality, 2.2K stars, and a 27 use-case fit score.

2.2K starsJun 6, 2026 pushProduction candidateRustFinance
$ npx skills add barter-rs/barter-rs
#18

Claude Scientific Skills

27 fitTrust 100Excellent 100

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

Excellent quality, 28K stars, and a 27 use-case fit score.

28K starsJun 11, 2026 pushProduction candidateClaude CodeOpenAI Agents
$ npx skills add K-Dense-AI/claude-scientific-skills
#19

FinceptTerminal

27 fitTrust 100Excellent 100

FinceptTerminal is a modern finance application offering advanced market analytics, investment research, and economic data tools, designed for interactive exploration and data-driven decision-making in a user-friendly environment.

Excellent quality, 26K stars, and a 27 use-case fit score.

26K starsJun 11, 2026 pushProduction candidateC++AI Agents
$ npx skills add Fincept-Corporation/FinceptTerminal
#20

Nautilus Trader

26 fitTrust 100Excellent 100

Production-grade Rust-native trading engine with deterministic event-driven architecture

Excellent quality, 23K stars, and a 26 use-case fit score.

23K starsJun 12, 2026 pushProduction candidateRustTrading
$ npx skills add nautechsystems/nautilus_trader
#21

Ta4j

26 fitTrust 100Excellent 100

A Java library for technical analysis.

Excellent quality, 2.4K stars, and a 26 use-case fit score.

2.4K starsJun 6, 2026 pushProduction candidateJavaTechnical Analysis
$ npx skills add ta4j/ta4j
#22

Nofx

26 fitTrust 100Excellent 100

Your AI trading terminal assistant for US stocks, commodities, forex, and crypto.

Excellent quality, 12K stars, and a 26 use-case fit score.

12K starsJun 11, 2026 pushProduction candidateGoTrading
$ npx skills add NoFxAiOS/nofx
#23

Gs Quant

26 fitTrust 100Excellent 100

Python toolkit for quantitative finance

Excellent quality, 11K stars, and a 26 use-case fit score.

11K starsJun 9, 2026 pushProduction candidatePythonRisk Management
$ npx skills add goldmansachs/gs-quant
#24

Jesse

25 fitTrust 100Excellent 100

An advanced crypto trading bot written in Python

Excellent quality, 8.0K stars, and a 25 use-case fit score.

8.0K starsJun 8, 2026 pushProduction candidateJavaScriptFinance
$ npx skills add jesse-ai/jesse
#25

OctoBot

25 fitTrust 100Excellent 100

Free open source crypto trading bot to automate AI, Grid, DCA and TradingView strategies on Binance, Hyperliquid and 15+ exchanges, with a simple interface.

Excellent quality, 6.1K stars, and a 25 use-case fit score.

6.1K starsJun 11, 2026 pushProduction candidatePythonTrading Bot
$ npx skills add Drakkar-Software/OctoBot
#26

TradingAgents

25 fitTrust 100Excellent 100

TradingAgents: Multi-Agents LLM Financial Trading Framework

Excellent quality, 85K stars, and a 25 use-case fit score.

85K starsJun 1, 2026 pushProduction candidatePythonFinance
$ npx skills add TauricResearch/TradingAgents
#27

Alpha Vantage

25 fitTrust 100Excellent 100

A python wrapper for Alpha Vantage API for financial data.

Excellent quality, 4.8K stars, and a 25 use-case fit score.

4.8K starsJun 7, 2026 pushProduction candidatePythonFinancial Data
$ npx skills add RomelTorres/alpha_vantage
#28

Riskfolio Lib

25 fitTrust 100Excellent 100

Portfolio Optimization in Python

Excellent quality, 4.3K stars, and a 25 use-case fit score.

4.3K starsJun 3, 2026 pushProduction candidateC++Finance
$ npx skills add dcajasn/Riskfolio-Lib
#29

FinancePy

24 fitTrust 100Excellent 100

A Python Finance Library that focuses on the pricing and risk-management of Financial Derivatives, including fixed-income, equity, FX and credit derivatives.

Excellent quality, 3.0K stars, and a 24 use-case fit score.

3.0K starsMay 26, 2026 pushProduction candidateJupyter NotebookFinance
$ npx skills add domokane/FinancePy
#30

Freqtrade

24 fitTrust 100Excellent 100

Free, open source crypto trading bot

Excellent quality, 51K stars, and a 24 use-case fit score.

51K starsJun 11, 2026 pushProduction candidatePythonTrading
$ npx skills add freqtrade/freqtrade

Selection method

How this list is ranked

OpenAgentSkill scores each candidate against the workflow keywords, then balances fit with GitHub stars, quality signals, trust profile, maintenance freshness, and whether there is a clear install path.

How does OpenAgentSkill rank finance and quant?

The ranking combines workflow fit, quality score, trust profile, GitHub adoption, maintenance freshness, and whether a clear install path exists.

Should I install the top skill immediately?

No. Treat the list as a shortlist, open the skill detail page, inspect the repository and license, then test the install command in a sandbox workflow.

Can my agent consume this ranking through an API?

Yes. Use /api/skills/search with the related task or /api/agent/rankings?slug=best-finance-quant-skills to fetch ranked skill data.