What Is AI Trading? Honest Definition and Real Examples
AI trading uses machine learning models to identify trading opportunities or execute trades. Modern AI trading splits into three categories: (1) signal-generation models (pattern recognition), (2) execution algorithms (market-making, smart order routing), and (3) AI-assisted analysis (LLMs answering questions with live data injection). Most 'AI trading' marketed to retail is the third category — useful but limited.
AI trading uses machine learning models to identify trading opportunities or execute trades. Modern AI trading splits into three categories: (1) signal-generation models (pattern recognition), (2) execution algorithms (market-making, smart order routing), and (3) AI-assisted analysis (LLMs answering questions with live data injection). Most 'AI trading' marketed to retail is the third category — useful but limited.
Where AI actually helps in trading
This section covers where ai actually helps in trading. For the practical framework, see our AI Trading hub and our blog for related analyses. Read on for context-specific guidance.
Where AI is mostly marketing
This section covers where ai is mostly marketing. For the practical framework, see our AI Trading hub and our blog for related analyses. Read on for context-specific guidance.
Why 'AI predicts the market' claims are wrong
This section covers why 'ai predicts the market' claims are wrong. For the practical framework, see our AI Trading hub and our blog for related analyses. Read on for context-specific guidance.
How SultraxAI uses AI in practice
This section covers how sultraxai uses ai in practice. For the practical framework, see our AI Trading hub and our blog for related analyses. Read on for context-specific guidance.