1.HKUDS / Vibe-Trading
"Vibe-Trading: Your Personal Trading Agent"
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13 repositories by Attention Score · Aug 7, 2026 – Nov 4, 2026 (UTC)
"Vibe-Trading: Your Personal Trading Agent"
Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions. Qlib supports diverse ML modeling paradigms, including supervised learning, market dynamics modeling, and RL, and is now equipped with https://github.com/microsoft/RD-Agent to automate R&D process.
TranslatedAn open-source quantitative trading platform development framework based on Python
Translated[🔥updating ...] AI automated quantitative trading robot (fully local deployment) AI-powered Quantitative Investment Research Platform. 📃 online docs: https://ufund-me.github.io/Qbot ✨ :news: qbot-mini: https://github.com/Charmve/iQuant
TranslatedQUANTAXIS: a purely local quantitative solution for stocks/futures/options that supports task scheduling and distributed deployment, covering data/backtesting/simulation/trading/visualization/multiple accounts
modular quant framework.
Trading and Backtesting environment for training reinforcement learning agent or simple rule base algo.
A bitcoin trading bot written in node - https://gekko.wizb.it/
Zenbot is a command-line cryptocurrency trading bot using Node.js and MongoDB.
Every day, millions of traders around the world are trying to make money by trading stocks. These days, physical traders are also being replaced by automated trading robots. Algorithmic trading market has experienced significant growth rate and large number of firms are using it. I have tried to build a Deep Q-learning reinforcement agent model to do automated stock trading.
📈 Personae is a repo of implements and environment of Deep Reinforcement Learning & Supervised Learning for Quantitative Trading.
Predicting price trends in cryptomarkets using an lstm-RNN for the use of a trading bot