#1
An advanced crypto trading bot written in Python
8.0K starsJun 14, 2026 pushfinanceJavaScriptFinance
$ npx skills add jesse-ai/jesseAlternatives
Tai alternatives for AI agents.
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
Tai
A composable, real time, market data and trade execution toolkit. Built with Elixir, runs on the Erlang virtual machine
53
Quality
77
Trust
496
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
modular quant framework.
4.2K starsApr 13, 2026 pushfinancePythonFinance
$ npx skills add zvtvz/zvt#4
Backtestable AI trading agents and Python algorithmic trading strategies for stocks, options, crypto, futures, forex, SEC filings, FRED macro data, and real brokers.
1.7K starsJun 13, 2026 pushfinancePythonFinance
$ npx skills add Lumiwealth/lumibot#5
Stock Indicators for .NET is a C# NuGet package that transforms raw equity, commodity, forex, or cryptocurrency financial market price quotes into technical indicators and trading insights. You'll need this essential data in the investment tools that you're building for algorithmic trading, technical analysis, machine learning, or visual charting.
1.2K starsJun 14, 2026 pushfinanceC#Finance
$ npx skills add DaveSkender/Stock.Indicators#6
Framework for quantitative trading. Complete framework for development, backtesting, and deploying automated trading algorithms and trading bots.
1.3K starsJun 12, 2026 pushfinancePythonFinance
$ npx skills add coding-kitties/investing-algorithm-framework#7
Algorithmic Trading in Python with Machine Learning
3.4K starsMay 11, 2026 pushfinancePythonFinance
$ npx skills add edtechre/pybroker#8
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#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
[🔥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
A curated list of practical financial machine learning tools and applications.
8.6K starsJan 3, 2025 pushfinancePythonFinance
$ npx skills add firmai/financial-machine-learning#12
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#13
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#14
Intelligent Trading Bot: Automatically generating signals and trading based on machine learning and feature engineering
1.7K starsJun 1, 2026 pushfinancePythonCrypto Trading
$ npx skills add asavinov/intelligent-trading-bot#15
Portfolio analytics for quants, written in Python
7.3K starsJan 13, 2026 pushfinancePythonFinance
$ npx skills add ranaroussi/quantstats#16
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/FinanceHow to choose
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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 Tai if it already passes your workflow test and repository review.
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