GitHub

TradingView Machine Learning GUI

This software is for educational purposes only. Do not risk money which you are afraid to lose. USE THE SOFTWARE AT YOUR OWN RISK. THE AUTHORS AND ALL AFFILIATES ASSUME NO RESPONSIBILITY FOR YOUR ...
GitHub

Hands-On Machine Learning for Algorithmic Trading

What is this book about? The explosive growth of digital data has boosted the demand for expertise in trading strategies that use machine learning (ML). This book enables you to use a broad range of ...
IEEE

Intelligent Algorithmic Trading Strategy Using Reinforcement Learning and Directional Change

Abstract: Designing a profitable trading strategy plays a critical role in algorithmic trading, where the algorithm can manage and execute automated trading decisions. Determining a specific trading ...
IEEE

Multi-Agent Reinforcement Learning-Based Trading Decision-Making in Platooning-Assisted Vehicular Networks

Abstract: Utilizing the stable underlying and cloud-native functions of vehicle platoons allows for flexible resource provisioning in environments with limited infrastructure, particularly for dynamic ...
Traders Magazine

AI, Machine Learning Will Drive Market Data Consumption

The majority (80%) of asset managers now view artificial intelligence (AI) and machine learning (ML) as a key driver of ...
Investopedia

Inside Dark Pools: How They Work and Why They're Controversial

James Chen, CMT is an expert trader, investment adviser, and global market strategist. Vikki Velasquez is a researcher and writer who has managed, coordinated, and directed various community and ...