#1
QuantWorld2022/backtrader is a high-star GitHub project relevant to AI agent workflows.
583 starsMay 17, 2022 pushfinanceJupyter NotebookBacktrader
$ npx skills add QuantWorld2022/backtraderAlternatives
Alphas alternatives for AI agents.
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
Alphas
alpha101, alpha191, alphalens, backtrader, 量化研究
49
Quality
68
Trust
542
Stars
#2
Performance analysis of predictive (alpha) stock factors
4.3K starsFeb 12, 2024 pushfinanceJupyter NotebookTrading
$ npx skills add quantopian/alphalens#3
Python Backtesting library for trading strategies
22K starsAug 19, 2024 pushfinancePythonBacktesting
$ npx skills add mementum/backtrader#4
量化研究-券商金工研报复现
5.3K starsMay 8, 2026 pushfinanceJupyter NotebookFinance
$ npx skills add hugo2046/QuantsPlaybook#5
TradingAgents: Multi-Agents LLM Financial Trading Framework
86K starsJun 14, 2026 pushfinancePythonFinance
$ npx skills add TauricResearch/TradingAgents#6
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#7
A curated list of awesome resources for quantitative investment and trading strategies focusing on artificial intelligence and machine learning applications in finance.
366 starsApr 29, 2026 pushfinanceJupyter NotebookTrading
$ npx skills add leoncuhk/awesome-quant-ai#8
Open source software that helps you create and deploy high-frequency crypto trading bots
19K starsJun 12, 2026 pushfinancePythonCrypto Trading
$ npx skills add hummingbot/hummingbot#9
Scalable, event-driven, deep-learning-friendly backtesting library
1.0K starsAug 28, 2021 pushfinancePythonBacktrader
$ npx skills add Kismuz/btgym#10
This github repository of "Machine Learning and Data Science Blueprints for Finance". Please star.
1.2K starsJan 26, 2023 pushfinanceJupyter NotebookTrading
$ npx skills add tatsath/fin-ml#11
Ipython notebooks for math and finance tutorials
1.1K starsAug 1, 2020 pushfinanceJupyter NotebookTrading
$ npx skills add Auquan/Tutorials#12
🔎 📈 🐍 💰 Backtest trading strategies in Python.
8.5K starsDec 20, 2025 pushfinancePythonTrading
$ npx skills add kernc/backtesting.py#13
FinRL®: Financial Reinforcement Learning. 🔥
15K starsMay 25, 2026 pushfinanceJupyter NotebookTrading
$ npx skills add AI4Finance-Foundation/FinRL#14
Free trading strategies for Freqtrade bot
5.2K starsMay 5, 2026 pushfinancePythonFreqtrade
$ npx skills add freqtrade/freqtrade-strategies#15
Current and Historical Lists of S&P 500 components since 1996
862 starsJun 9, 2026 pushfinanceJupyter NotebookFinance
$ npx skills add fja05680/sp500#16
Hikyuu Quant Framework 基于C++/Python的超高速开源量化交易研究框架，同时可基于策略部件进行资产重用，快速累积策略资产。
3.3K starsJun 13, 2026 pushfinanceC++Backtesting
$ npx skills add fasiondog/hikyuuHow 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 Alphas 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.