AI Models We Test
We focus on AI models that retail investors are most likely to use for investment research and decision-making
MODELS RETAIL INVESTORS USE
We test AI models that retail investors are most likely to encounter and use for investment research. These are the mainstream, accessible models that shape how everyday investors make financial decisions. Our focus is on understanding the biases in the tools people actually use:
gpt-5-chat
Widely accessible through ChatGPT and numerous financial apps used by retail investors
gemini-2.5-flash
Free access through Google's Gemini interface, popular with cost-conscious investors
claude-sonnet-4
Growing adoption among investors who prefer detailed analytical responses
deepseek-v3
Emerging choice for retail investors seeking alternative AI perspectives
qwen-max
Gaining traction among international retail investors, especially in Asia
WHY THESE MODELS MATTER
We specifically target AI models that retail investors actually use, not just the most technically advanced ones. Our selection focuses on accessibility and real-world usage patterns. We prioritize models that:
- Are easily accessible to individual investors without technical expertise
- Have free or low-cost access options for everyday users
- Are commonly integrated into financial apps and research platforms
- Represent the diversity of AI tools shaping retail investment decisions
UNDERSTANDING RETAIL IMPACT
We analyze how these commonly-used AI models influence retail investment decisions by tracking their biases and preferences. This matters because millions of individual investors rely on these tools for research and advice.
Real Usage Patterns
Testing models as retail investors actually use them - through web interfaces and popular financial apps
Bias Detection
Identifying systematic preferences that could influence millions of investment decisions
Market Impact Analysis
Understanding how AI-driven retail sentiment creates measurable effects on asset prices
Accessibility Focus
Prioritizing models that everyday investors can easily access without technical barriers
TRACKING RETAIL ADOPTION
As retail investors adopt new AI tools, we expand our testing to include models gaining traction among everyday users. We continuously monitor which AI systems are becoming mainstream investment research tools.
Our goal is to always test the models that matter most to retail investors, not necessarily the most technically sophisticated ones. This means tracking adoption patterns, accessibility changes, and integration into popular financial platforms.
EXPLORE OUR DATA
See how these models perform in practice and discover the investment biases they exhibit across different assets and market conditions:
Stay Updated on Our Research
Get notified when we add new models to our testing suite or publish significant findings about AI investment biases
Subscribe to UpdatesResearch Disclaimer
This platform is for research and educational purposes only. Nothing on this site constitutes financial advice. All model analysis and data should be used for research purposes only. We make no warranties about the accuracy or reliability of the information provided. Use at your own risk.