Trading
Showing 13 of 13 projects
A multi-agent LLM framework for financial trading that simulates real-world trading firms with specialized AI agents for market analysis and decision-making.
A production-grade Rust-native trading engine with deterministic event-driven architecture for multi-asset, multi-venue systems.
A performant, small-footprint financial charting library built with HTML5 canvas for interactive web applications.
An open-source autonomous AI trading assistant that selects models, fetches data, and executes trades across multiple markets with USDC micropayments.
An open-source C# platform for algorithmic trading and quantitative analysis across stocks, forex, crypto, and options markets.
A Python bot that analyzes Trump tweets for company mentions, performs sentiment analysis, and automatically executes stock trades.
A command-line tool that automates cryptocurrency technical analysis and trading alerts using Docker.
A curated guide to cryptocurrency tools, algorithms, and resources for understanding and managing digital assets.
A Python framework for developing and backtesting algorithmic trading strategies with machine learning.
A Java library for building, testing, and deploying automated trading strategies with 200+ technical indicators and production-ready tooling.
A Python library implementing over 80 financial technical indicators using Pandas for trading analysis.
A Python toolkit for training reinforcement learning agents and backtesting rule-based algorithms in financial markets.
A modern cryptocurrency trading bot framework written in Go, supporting multiple exchanges, backtesting, and built-in strategies.
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