MarketPulse

Inspiration Retail trading has exploded in popularity, yet statistics show that over 90% of retail traders lose money over the long term. The tragedy is that many of these traders understand technical analysis—they know how to read a chart. They fail because they cannot master their own psychology.

We were inspired by the concept of Behavioral Finance. We realized that traders don't need another chart indicator; they need a mirror. They need a tool that looks at their behavior, not just their P/L, and tells them why they are losing money. Whether it's Revenge Trading after a bad loss or Loss Aversion causing them to hold bags too long, we built MarketPulse to be the objective, AI-powered risk manager that most retail traders never have.

What it does MarketPulse is a post-game analysis tool that ingests raw trading data and uses a hybrid Algorithmic + Generative AI engine to diagnose psychological leaks.

Instant Data Ingestion: Users upload raw CSV trade logs (supporting massive datasets). Psychometric Algorithmic Engine: Our Python backend runs vectorised operations to detect specific behavioral patterns: Overtrading: Analyzing trade frequency per hour via a visual Heatmap. Revenge Trading: Detecting increased position sizing (Q) immediately following significant losses (L) within a time delta (Δt<15m). Loss Aversion: Comparing the average hold time of winning trades vs. losing trades. AI Coaching (Backboard.io): Once the math identifies the what, our integrated AI Coach ("Norman") explains the why, providing a personalized narrative assessment. Action Plan: The system doesn't just complain; it generates "Guardrails"—specific rules (e.g., "Hard stop after 2 losses") that the user can pin to their dashboard to enforce discipline.