Free, open source crypto trading bot
-
Updated
May 29, 2024 - Python
Free, open source crypto trading bot
Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to implementing productions. Qlib supports diverse machine learning modeling paradigms. including supervised learning, market dynamics modeling, and RL.
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.
A simple lightweight trading framework compatible with Stock, Forex, Crypto... markets
A curated list of practical financial machine learning tools and applications.
A cryptocurrency trading bot and framework supporting multiple exchanges written in Golang.
Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity
A Python framework for managing positions and trades in DeFi
Jackrabbit Relay is an API endpoint for cryptocurrency/forex exchanges.
An advanced crypto trading bot written in Python
A collection of Python coded analysis and automation of risk mitigation strategies in portfolio management.
The Official Python SDK for Alpaca API
Trade-master🤖 : An advanced algorithmic trading bot integrated with SmartAPI for real-time market data from Angel One broker. Empowers traders with customizable strategies, risk management, and platform compatibility for optimized trading and confident decision-making.
Framework for developing, backtesting, and deploying automated trading algorithms and trading bots.
Trading Strategy Executor Framework for the Genius Yield DEX.
algorithm problem solving space
Analysis on systematic trading strategies (e.g., trend-following, carry and mean-reversion). The result is regularly updated.
Add a description, image, and links to the algorithmic-trading topic page so that developers can more easily learn about it.
To associate your repository with the algorithmic-trading topic, visit your repo's landing page and select "manage topics."