Guidance for distinctive, intentional UI design, typography, visual direction, and non-template-like product interfaces.

Lean Algorithmic Trading Engine by QuantConnect (Python, C#)

Code for Machine Learning for Algorithmic Trading, 2nd edition.

Algorithmic trading and quantitative trading open source platform to develop trading robots (stock markets, forex, crypto, bitcoins, and options).

A extendable, replaceable Python algorithmic backtest && trading framework supporting multiple securities

Free, open-source crypto trading bot, automated bitcoin / cryptocurrency trading software, algorithmic trading bots. Visually design your crypto trading bot, leveraging an integrated charting system, data-mining, backtesting, paper trading, and multi-server crypto bot deployments.

An HTTP router and reverse proxy for service composition, including use cases like Kubernetes Ingress

Backtestable AI trading agents and Python algorithmic trading strategies for stocks, options, crypto, futures, forex, SEC filings, FRED macro data, and real brokers.

Agent skills for VueUse to help AI agents use Vue Composition utilities efficiently with minimal token usage.

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.

Algorithmic Trading in Python with Machine Learning

Zipline, a Pythonic Algorithmic Trading Library