OpenAgentSkill guide
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.
When to use this guide
Start from the job, then shortlist the tools.
Analyze public companies
Use quality and freshness signals to decide whether a skill belongs in this workflow.
Backtest quant strategies
Use quality and freshness signals to decide whether a skill belongs in this workflow.
Track portfolios and risk
Use quality and freshness signals to decide whether a skill belongs in this workflow.
Summarize filings and market data
Use quality and freshness signals to decide whether a skill belongs in this workflow.
Shortlist
Top skills to evaluate
Financial data platform for analysts, quants and AI agents.
Best fit: High-confidence pick with strong adoption and healthy maintenance signals.
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.
Best fit: High-confidence pick with strong adoption and healthy maintenance signals.
Algorithmic trading and quantitative trading open source platform to develop trading robots (stock markets, forex, crypto, bitcoins, and options).
Best fit: High-confidence pick with strong adoption and healthy maintenance signals.
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.
Best fit: High-confidence pick with strong adoption and healthy maintenance signals.
Open source software that helps you create and deploy high-frequency crypto trading bots
Best fit: High-confidence pick with strong adoption and healthy maintenance signals.
Your AI trading terminal assistant for US stocks, commodities, forex, and crypto.
Best fit: High-confidence pick with strong adoption and healthy maintenance signals.
Python toolkit for quantitative finance
Best fit: High-confidence pick with strong adoption and healthy maintenance signals.
Create a structured post-earnings equity research update with key metrics, estimate changes, charts, and thesis review.
Best fit: High-confidence pick with strong adoption and healthy maintenance signals.
TradingAgents: Multi-Agents LLM Financial Trading Framework
Best fit: High-confidence pick with strong adoption and healthy maintenance signals.
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.
Best fit: High-confidence pick with strong adoption and healthy maintenance signals.