#1
Portfolio optimization with deep learning.
1.1K starsJan 24, 2024 pushfinancePythonPortfolio Analysis
$ npx skills add jankrepl/deepdowAlternatives
Osqp alternatives for AI agents.
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
Osqp
The Operator Splitting QP Solver
95
Quality
90
Trust
2.1K
Stars
#2
Portfolio optimization and back-testing.
1.2K starsApr 27, 2026 pushfinancePythonPortfolio Analysis
$ npx skills add cvxgrp/cvxportfolio#3
A toolkit for building AI-automated trading strategies on Kalshi prediction markets.
443 starsJun 12, 2026 pushfinancePythonPortfolio Analysis
$ npx skills add ryanfrigo/kalshi-ai-trading-bot#4
Research in investment finance with Python Notebooks
1.1K starsDec 15, 2025 pushfinanceJupyter NotebookPortfolio Analysis
$ npx skills add Hvass-Labs/FinanceOps#5
Applied an ARIMA-LSTM hybrid model to predict future price correlation coefficients of two assets
433 starsOct 1, 2018 pushfinanceJupyter NotebookPortfolio Analysis
$ npx skills add imhgchoi/ARIMA-LSTM-hybrid-corrcoef-predict#6
Fast and scalable construction of risk parity portfolios
322 starsDec 2, 2025 pushfinancePythonPortfolio Analysis
$ npx skills add convexfi/riskparity.py#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
FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.
20K starsJun 1, 2026 pushfinanceJupyter NotebookFinance
$ npx skills add AI4Finance-Foundation/FinGPT#9
Financial data platform for analysts, quants and AI agents.
69K starsJun 15, 2026 pushfinancePythonFinance
$ npx skills add OpenBB-finance/OpenBB#10
[🔥updating ...] AI 自动量化交易机器人(完全本地部署) AI-powered Quantitative Investment Research Platform. 📃 online docs: https://ufund-me.github.io/Qbot ✨ :news: qbot-mini: https://github.com/Charmve/iQuant
18K starsMar 11, 2026 pushfinanceJupyter NotebookFinance
$ npx skills add UFund-Me/Qbot#11
Code for Machine Learning for Algorithmic Trading, 2nd edition.
19K starsJun 12, 2026 pushfinanceJupyter NotebookFinance
$ npx skills add stefan-jansen/machine-learning-for-trading#12
阿布量化交易系统(股票，期权，期货，比特币，机器学习) 基于python的开源量化交易，量化投资架构
17K starsJan 24, 2026 pushfinancePythonTrading
$ npx skills add bbfamily/abu#13
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#14
中国的Quant相关资源索引
5.4K starsMay 17, 2026 pushfinanceQuantClaude Code
$ npx skills add thuquant/awesome-quant#15
Portfolio Optimization in Python
4.3K starsJun 3, 2026 pushfinanceC++Finance
$ npx skills add dcajasn/Riskfolio-Lib#16
High-performance TensorFlow library for quantitative finance.
5.4K starsFeb 12, 2026 pushfinancePythonFinance
$ npx skills add google/tf-quant-financeHow 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 Osqp if it already passes your workflow test and repository review.
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