Portfolio optimization and back-testing.
$ npx skills add cvxgrp/cvxportfolioAlternatives
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
Research in investment finance with Python Notebooks
Portfolio optimization and back-testing.
$ npx skills add cvxgrp/cvxportfolioApplied an ARIMA-LSTM hybrid model to predict future price correlation coefficients of two assets
$ npx skills add imhgchoi/ARIMA-LSTM-hybrid-corrcoef-predictFast and scalable construction of risk parity portfolios
$ npx skills add convexfi/riskparity.pyA toolkit for building AI-automated trading strategies on Kalshi prediction markets.
$ npx skills add ryanfrigo/kalshi-ai-trading-botThe Operator Splitting QP Solver
$ npx skills add osqp/osqpPerformance analysis of predictive (alpha) stock factors
$ npx skills add quantopian/alphalens量化研究-券商金工研报复现
$ npx skills add hugo2046/QuantsPlaybookPortfolio optimization with deep learning.
$ npx skills add jankrepl/deepdowTradingAgents: Multi-Agents LLM Financial Trading Framework
$ npx skills add TauricResearch/TradingAgentsFuncat 将同花顺、通达信、文华财经麦语言等的公式写法移植到了 Python 中。
$ npx skills add cedricporter/funcat基于Python的开源量化交易平台开发框架
$ npx skills add vnpy/vnpyDownload market data from Yahoo! Finance's API
$ npx skills add ranaroussi/yfinanceThis github repository of "Machine Learning and Data Science Blueprints for Finance". Please star.
$ npx skills add tatsath/fin-mlPython toolkit for quantitative finance
$ npx skills add goldmansachs/gs-quantQUANTAXIS 支持任务调度 分布式部署的 股票/期货/期权 数据/回测/模拟/交易/可视化/多账户 纯本地量化解决方案
$ npx skills add yutiansut/QUANTAXISPython wrapper for TA-Lib (http://ta-lib.org/).
$ npx skills add TA-Lib/ta-lib-pythonHow to choose
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 FinanceOps if it already passes your workflow test and repository review.
Next step
Open the compare page, test the install commands in a sandbox, and check each repository before using a skill in production.