#1
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/vectorbtAlternatives
Stock.Indicators alternatives for AI agents.
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
Stock.Indicators
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.
100
Quality
95
Trust
1.2K
Stars
#2
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#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
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#6
Indicator Go delivers a rich set of technical analysis indicators, customizable strategies, and a powerful backtesting framework. No dependencies, just pure simplicity. ✨ See how! 👀
1.2K starsJun 8, 2026 pushfinanceGoFinance
$ npx skills add cinar/indicator#7
Algorithmic Trading in Python with Machine Learning
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$ npx skills add edtechre/pybroker#8
Open-source Rust framework for building event-driven live-trading & backtesting systems
2.2K starsJun 6, 2026 pushfinanceRustFinance
$ npx skills add barter-rs/barter-rs#9
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#10
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#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
stock股票.获取股票数据,计算股票指标,筹码分布,识别股票形态,综合选股,选股策略,股票验证回测,股票自动交易,支持PC及移动设备。
13K starsApr 2, 2026 pushfinancePythonFinance
$ npx skills add myhhub/stock#13
An advanced crypto trading bot written in Python
8.0K starsJun 14, 2026 pushfinanceJavaScriptFinance
$ npx skills add jesse-ai/jesse#14
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#15
Portfolio analytics for quants, written in Python
7.3K starsJan 13, 2026 pushfinancePythonFinance
$ npx skills add ranaroussi/quantstats#16
HyperView is a terminal-first TradingView strategy lab for downloading market data, backtesting Python strategies with Pine-like behavior, and optimizing SL/TP parameters.
959 starsMar 26, 2026 pushfinancePythonFinance
$ npx skills add TreborNamor/TradingView-Machine-Learning-GUIHow 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 Stock.Indicators if it already passes your workflow test and repository review.
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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.