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Landing Page
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Main Dashboard
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Trade Log
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Insight Analysis
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Custom/ AI Optimized settings
TradeGuard
Behavioral Bias Detection for Retail Traders
Built for the National Bank Bias Detector Challenge – QHacks 2026
TradeGuard is a behavioral finance analytics platform that helps retail traders identify and correct harmful trading habits. Instead of predicting markets, TradeGuard focuses on how people trade, surfacing psychological patterns that quietly drive losses.
By turning raw trading data into clear behavioral insights, TradeGuard empowers traders to make more disciplined, data-driven decisions.
📉 Problem
Retail traders often lose money not because they lack market knowledge, but because emotions influence their decisions.
Common issues include:
- Overtrading driven by impulsivity or boredom
- Loss aversion from having a "what if" rather than "what is" mindset
- Revenge trading after emotionally charged losses
While these behaviors are well-documented in behavioral finance, most trading tools fail to identify them in a practical, personalized way.
💡 Solution
TradeGuard analyzes trader activity to detect behavioral bias patterns and translate them into actionable feedback.
Rather than overwhelming users with charts or predictions, TradeGuard focuses on:
- Awareness of harmful habits
- Clear visual summaries of behavior over time
- Practical suggestions that traders can actually follow
- "Guardrails" users can choose to follow to prevent your emotions from taking over
The goal is not to trade for users — but to help them trade better.
🚀 What TradeGuard Does
TradeGuard ingests uploaded or mock trading data in .csv format and detects common behavioral biases, including:
- Overtrading — excessive trade frequency increasing risk and transaction costs
- Loss Aversion — holding losing positions too long or cutting winners early
- Revenge Trading — emotionally driven trades following losses
These patterns are surfaced through visual insights and personalized feedback.
📊 Key Features
Bias Detection Engine
Automatically identifies behavioral finance patterns from your personal trading data, not training data. This assures that the bias detection enginge is specifically tailord to your trading habits and can understand exactly when emotions are taking over.
Visual Insights
Graphs and AI summaries that make behavioral trends easy to understand at a glance.
Personalized Feedback
Actionable suggestions such as:
- Daily trade limits
- Cooldown periods after losses
- Stop-loss discipline reminders
Trader-Focused Design
Built to be understandable and useful for retail traders — not just analysts or institutions.
🧠 Why TradeGuard
Behavioral biases are subtle, compounding, and difficult to self-diagnose.
TradeGuard helps traders:
- Become aware of emotional decision-making
- Build healthier trading habits
- Reduce impulsive behavior over time
- Make more consistent, disciplined decisions
By focusing on behavior instead of prediction, TradeGuard addresses a core reason why many retail traders underperform.
🏦 Challenge Alignment
TradeGuard was built specifically for the National Bank Bias Detector Challenge and aligns with its goals by:
- Targeting real behavioral causes of retail trading losses
- Applying behavioral finance concepts in a practical, user-facing way
- Emphasizing clarity, personalization, and actionability over complexity
- Designed for real-world data and implementation
🔧 Architecture & Tech Overview
- Trading data ingestion (CSV or mock datasets)
- Bias detection logic based on behavioral finance heuristics
- Visualization and feedback layer
Frontend: Web-based UI for uploads, insights, and recommendations
Backend: Data parsing and bias detection logic
🧭 Vision
TradeGuard aims to shift retail trading tools away from prediction and toward self-awareness.
By helping traders understand how they trade — not just what they trade — TradeGuard promotes long-term discipline, healthier habits, and more sustainable decision-making.
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