What the data reveals about trading psychology
Aggregated insights from our trading community - no individual data, just patterns that matter.
Understanding trader risk profiles
How traders distribute across risk categories and what patterns emerge from consistent behavior tracking.
Risk cohort distribution
Traders categorized by their risk-taking behavior based on position sizing and frequency patterns.
Consistency score
Average adherence to stated trading plans and rules across the platform.
Platform average
Traders who journal consistently show 23% higher consistency scores than those who don't.
Overtrading patterns
Frequency and impact of trading above planned activity levels.
Traders show overtrading behavior
After losses: 3.2x more likely to overtrade
Peak overtrading hours
10:00 - 11:30 AM (post-market-open)
Strategy distribution across the platform
How traders approach the markets and which strategies correlate with consistent results.
Trading style distribution
Consistency leader
Strategy with highest consistency scores
Longer holding periods correlate with better emotional regulation and plan adherence.
- Lower trade frequency reduces emotional decisions
- More time for analysis between trades
- Reduced impact of short-term noise
How AI coaching changes behavior
Measuring the impact of personalized AI coaching on trading psychology and consistency.
Coach adoption rate
Pro and Elite users who actively engage with AI Coach insights weekly.
Insights generated
Personalized psychology insights delivered to traders monthly.
Engagement by plan tier
Higher engagement correlates with faster pattern recognition.
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