Show HN: I spent 3 months building an AI trading bot using DRL like AlphaGo (github.com)

A developer has introduced an advanced AI trading bot utilizing Deep Reinforcement Learning (DRL) techniques similar to those used in AlphaGo, designed to trade gold (XAUUSD) autonomously. This bot distinguishes itself by harnessing over 140 market features and performing multi-timeframe analysis across various chart intervals. By leveraging self-learning algorithms like Proximal Policy Optimization (PPO) and Dreamer V3, the bot autonomously adapts its strategies based on millions of simulated trading scenarios, allowing it to make informed trading decisions that consider macroeconomic indicators and real-time market dynamics. This development is significant for the AI and machine learning community as it pushes the boundaries of algorithmic trading, integrating cutting-edge RL methodologies with a comprehensive data-driven approach. The bot's ability to continuously learn from historical and real-time data not only enhances its adaptability but also aims for impressive performance targets, including an annual return of 80-120% and a high Sharpe ratio exceeding 3.5. With capabilities for dynamic risk management and multi-source analysis, this autonomous trading system could redefine how traders approach the forex market, providing a sophisticated tool that blends AI innovation with practical financial applications.