We Tested AI for Live Trading. Here’s Why It Failed.

📰 Medium · Data Science

Learn why AI failed to improve live crypto trading execution and how rule-based systems outperformed AI models in 24,000+ experiments

advanced Published 17 Apr 2026

Action Steps

Design an experiment to test AI models against rule-based systems in live trading
Run multiple iterations of the experiment with different prompt versions and ML walk-forward analysis
Analyze the results to determine which approach performs better
Implement a rule-based system for live trading based on the experimental results
Continuously monitor and evaluate the performance of the rule-based system

Who Needs to Know This

Data scientists and traders can benefit from understanding the limitations of AI in live trading and the importance of rule-based systems in certain applications

Key Insight

💡 Rule-based systems can outperform AI models in certain applications, such as live trading, due to their ability to react to specific conditions