#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.
43K starsJun 14, 2026 pushfinancePythonFinance
$ npx skills add ZhuLinsen/daily_stock_analysisAlternatives
Quant Developers Resources alternatives for AI agents.
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
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Quant Developers Resources
Resources to Prepare for Quant Developers/ Quantitative Researcher/ Quantitative Trader/ Quant Analyst/ Software Engineers in Quant Trading Firms, HFTs and Hedge Funds
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#2
Portfolio analytics for quants, written in Python
7.3K starsJan 13, 2026 pushfinancePythonFinance
$ npx skills add ranaroussi/quantstats#3
150+ quantitative finance Python programs to help you gather, manipulate, and analyze stock market data
3.9K starsMar 26, 2026 pushfinancePythonFinance
$ npx skills add shashankvemuri/Finance#4
Build your autonomous hedge fund in minutes. AutoHedge harnesses the power of swarm intelligence and AI agents to automate market analysis, risk management, and trade execution.
3.4K starsMay 11, 2026 pushfinancePythonFinance
$ npx skills add The-Swarm-Corporation/AutoHedge#5
We are committed to the open-sourcing quantitative knowledge, aiming to bridge the information gap between the domestic and international quantitative finance industries. 我们致力于量化知识的开源与汉化，打破国内外量化金融行业信息差。
3.8K starsApr 16, 2026 pushfinanceFinanceClaude Code
$ npx skills add LLMQuant/quant-wiki#6
Docker image with IB Gateway/TWS and IBC
1.0K starsJun 10, 2026 pushfinanceShellFinance
$ npx skills add gnzsnz/ib-gateway-docker#7
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#8
A beginner-friendly yet powerful Python toolkit for financial analysis and automation — built to make modern investing accessible to everyone
1.3K starsMay 16, 2026 pushfinancePythonFinance
$ npx skills add thinh-vu/vnstock#9
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#10
A curated list of practical financial machine learning tools and applications.
8.6K starsJan 3, 2025 pushfinancePythonFinance
$ npx skills add firmai/financial-machine-learning#11
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#12
A list of online resources for quantitative modeling, trading, portfolio management
3.9K starsJun 15, 2024 pushfinanceFinanceClaude Code
$ npx skills add EliteQuant/EliteQuant#13
Python wrapper for TA-Lib (http://ta-lib.org/).
12K starsMar 16, 2026 pushfinanceCythonFinance
$ npx skills add TA-Lib/ta-lib-python#14
An advanced crypto trading bot written in Python
8.0K starsJun 14, 2026 pushfinanceJavaScriptFinance
$ npx skills add jesse-ai/jesse#15
Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity
5.8K starsJun 8, 2026 pushfinanceJupyter NotebookFinance
$ npx skills add PyPortfolio/PyPortfolioOpt#16
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/vectorbtHow 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 Quant Developers Resources if it already passes your workflow test and repository review.
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