AI ALGORITHMS AND MODELS

• Machine Learning (ML) Models:

Market Trend Prediction: Utilize machine learning algorithms such as time series analysis and regression analysis to analyze historical market data, thereby forecasting short-term and long-term market trends. Pattern Recognition: Apply deep learning technology to identify complex patterns and trends in the market, such as price formations and changes in trading volumes, which are crucial for determining trading opportunities.

• Natural Language Processing (NLP):

Market Sentiment Analysis: Evaluate the market's positive or negative sentiment by analyzing text data from social media and news reports, aiding in making informed trading decisions.

• Reinforcement Learning (RL):

Strategy Optimization: Use reinforcement learning models to self-adjust trading strategies through interaction with the market, maximizing long-term returns. This method continuously adapts to market changes to find the optimal trading strategy.