Trading
Showing 33 of 33 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.
A repository implementing Deep Reinforcement Learning and Supervised Learning methods with a simulated financial market environment for quantitative trading.
A comprehensive Go library for technical analysis, offering indicators, strategies, and backtesting with no external dependencies.
A technical analysis library for Go providing indicators, strategy building, and trade analysis for financial data.
A multilingual Pokémon Trading Card Game database with card images and detailed information for the TCGdex API.
A Spring Boot starter for creating Java cryptocurrency trading bots that handles exchange connections and trading operations.
A high-performance matching engine for limit order books written in Go, supporting market/limit orders and cancellations.
A curated list of resources, tools, websites, and books for stock trading and investing research.
A composable, real-time market data and trade execution toolkit for orchestrating trading across multiple venues.
A Flutter package for rendering elegant OHLC candlestick and trade volume charts with customizable styling.
A comprehensive Rust library for technical analysis, providing common indicators, methods, and an interface for custom indicators.
A fast, low-latency Financial Information Exchange (FIX) protocol library for the JVM.
A CLI tool for batch backtesting, dataset import, and strategy parameter optimization for the Gekko Trading Bot.
A high-frequency cryptocurrency trading bot with online execution, advanced encryption, and experimental auto-trading strategies.
A Python arbitrage bot that automatically executes profitable trades between Bittrex and Poloniex cryptocurrency exchanges.
A trading environment for reinforcement learning agents, supporting backtesting, live trading, and multiple RL algorithms.
A neuroevolution-based trading bot that evolves populations of neural networks to trade cryptocurrency using technical analysis.
A Rust client library for the Coinbase Pro cryptocurrency exchange API with sync, async, and WebSocket support.
A C# .NET wrapper for the Bittrex cryptocurrency exchange API, providing full REST and WebSocket functionality.
A development environment for managing algorithmic trading operations across a distributed Elixir cluster.
A collection of quantitative trading research experiments exploring uncommon strategies and techniques through Jupyter notebooks.
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