Trading Bots
Showing 16 of 16 projects
An open-source C# platform for algorithmic trading and quantitative analysis across stocks, forex, crypto, and options markets.
A simple, modular, and fast Rust framework for building MEV bots using an event-driven pipeline architecture.
A Java library for building, testing, and deploying automated trading strategies with 200+ technical indicators and production-ready tooling.
A scalable, event-driven backtesting library for reinforcement learning in algorithmic trading, built on Backtrader with OpenAI Gym API.
A Node.js library for interfacing directly with Steam servers, enabling the creation of autonomous chat and trade bots.
A comprehensive guide to building Steam bots and websites using Node.js, covering trading, user interaction, and web development.
A curated list of packages and resources for Steam client automation and WebAPI development.
A Go library implementing Steam's protocol for automating actions like trading, chatting, and inventory management without the Steam client.
An open-source algorithmic trading execution engine for deploying and managing multi-language trading bots with real-time monitoring.
A Node.js library for automating Steam trading via the trade offers system.
A trading environment for reinforcement learning agents, supporting backtesting, live trading, and multiple RL algorithms.
A Go library and CLI tool for interacting with Cosmos SDK and IBC blockchains, designed for building custom clients and automation.
A Python SDK for automated interaction with the Tinyman Automated Market Maker (AMM) on the Algorand blockchain.
A Python SDK for building, backtesting, and deploying AI-powered algorithmic trading bots for crypto markets across 100+ exchanges.
A live cryptocurrency historical trade data poller that downloads trade data from exchanges for analysis and backtesting.
A guide to creating Steam bots using Node.js, covering login, trading, and chat functionality.
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