#1
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.
52K starsJun 29, 2026 pushfinancePythonFinance
$ npx skills add ZhuLinsen/daily_stock_analysisAlternatives
Py Quantmod alternatives for AI agents.
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
Py Quantmod
Powerful financial charting library based on R's Quantmod | http://py-quantmod.readthedocs.io/en/latest/
49
Quality
71
Trust
191
Stars
#2
The backtesting engine that gives you an unfair advantage. Run thousands of trading ideas before others finish one.
7.9K starsJun 10, 2026 pushfinancePythonFinance
$ npx skills add polakowo/vectorbt#3
The QuantLib C++ library
7.2K starsJun 11, 2026 pushfinanceC++Finance
$ npx skills add lballabio/QuantLib#4
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 starsApr 22, 2026 pushfinancePythonFinance
$ npx skills add microsoft/qlib#5
Data Apps & Dashboards for Python. No JavaScript Required.
24K starsJul 2, 2026 pushfinancePythonFinance
$ npx skills add plotly/dash#6
Financial data platform for analysts, quants and AI agents.
70K starsJun 21, 2026 pushfinancePythonFinance
$ npx skills add OpenBB-finance/OpenBB#7
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.
27K starsJun 13, 2026 pushfinanceC++Finance
$ npx skills add Fincept-Corporation/FinceptTerminal#8
Algorithmic trading and quantitative trading open source platform to develop trading robots (stock markets, forex, crypto, bitcoins, and options).
10K starsJun 13, 2026 pushfinanceC#Finance
$ npx skills add StockSharp/StockSharp#9
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 starsApr 2, 2026 pushfinancePythonFinance
$ npx skills add myhhub/stock#10
An advanced crypto trading bot written in Python
8.0K starsJun 14, 2026 pushfinanceJavaScriptFinance
$ npx skills add jesse-ai/jesse#11
Code for Machine Learning for Algorithmic Trading, 2nd edition.
19K starsJun 23, 2026 pushfinanceJupyter NotebookFinance
$ npx skills add stefan-jansen/machine-learning-for-trading#12
基于Python的开源量化交易平台开发框架
42K starsMay 17, 2026 pushfinancePythonQuant
$ npx skills add vnpy/vnpy#13
Download market data from Yahoo! Finance's API
25K starsJun 28, 2026 pushfinancePythonMarket Data
$ npx skills add ranaroussi/yfinance#14
TradingAgents: Multi-Agents LLM Financial Trading Framework
88K starsJun 22, 2026 pushfinancePythonFinance
$ npx skills add TauricResearch/TradingAgents#15
Performant financial charts built with HTML5 canvas
16K starsJun 22, 2026 pushfinanceTypeScriptFinance
$ npx skills add tradingview/lightweight-charts#16
FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.
21K starsJun 1, 2026 pushfinanceJupyter NotebookFinance
$ npx skills add AI4Finance-Foundation/FinGPTHow to choose
When should you switch?
Use an alternative when it has a clearer install path, higher trust score, fresher maintenance, or better platform fit for your current agent stack. Keep Py Quantmod if it already passes your workflow test and repository review.
Next step
Compare top candidates side by side
Open the compare page, test the install commands in a sandbox, and check each repository before using a skill in production.