#1
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/StockSharpAlternatives
TuringTrader alternatives for AI agents.
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
TuringTrader
The Open-Source Backtesting Engine/ Trading Simulator by Bertram Enterprises.
84
Quality
87
Trust
517
Stars
#2
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#3
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#4
modular quant framework.
4.2K starsApr 13, 2026 pushfinancePythonFinance
$ npx skills add zvtvz/zvt#5
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#6
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#7
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#8
Algorithmic Trading in Python with Machine Learning
3.4K starsMay 11, 2026 pushfinancePythonFinance
$ npx skills add edtechre/pybroker#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
Lean Algorithmic Trading Engine by QuantConnect (Python, C#)
20K starsJun 12, 2026 pushfinanceC#Trading Bot
$ npx skills add QuantConnect/Lean#11
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#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
A list of online resources for quantitative modeling, trading, portfolio management
3.9K starsJun 15, 2024 pushfinanceFinanceClaude Code
$ npx skills add EliteQuant/EliteQuant#14
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/hikyuu#15
An advanced crypto trading bot written in Python
8.0K starsJun 14, 2026 pushfinanceJavaScriptFinance
$ npx skills add jesse-ai/jesse#16
An Open Source Portfolio Backtesting Engine for Everyone | 面向所有人的开源投资组合回测引擎
1.1K starsSep 14, 2025 pushfinancePythonFinance
$ npx skills add santoshlite/EigenLedgerHow 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 TuringTrader 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.