DERIV
Intelligent Trading Analyst is a live, AI-powered trading dashboard that helps retail traders understand markets, recognize their own behavioral risks, and communicate insights clearly. It pulls live price data and indicators like RSI/ATR, optionally blends in recent headlines, and generates a concise "why it moved" explanation. The Behavior Engine analyzes uploaded trade history to spot loss streaks, revenge trading, and oversizing, then returns supportive coaching prompts without giving signals or predictions. Finally, a social content engine turns the market + behavior context into polished posts in three personas tailored for LinkedIn or X. The result is a Bloomberg-style analyst, trading coach, and ghostwriter in one interface, built with FastAPI and Next.js and demoed through a "simulate drop" flow that triggers analysis, coaching, and shareable content end-to-end.
Category tags:"Constructive feedback Tighten focus to avoid product sprawl The analyst, coaching, and social-post features are each strong but compete for attention. The project would benefit from a clearer primary user value (e.g., behavioral risk awareness or market explainability) with the other features framed as supporting extensions rather than equal pillars. Clarify safeguards around financial advice and user outcomes While the system avoids predictions, the boundaries between explanation, coaching, and influence could be made more explicit. Adding guardrails, disclaimers, or examples of how the system handles high-risk user behavior would strengthen credibility and reduce regulatory ambiguity. Positive feedback Thoughtful integration of behavioral finance with real-time context The inclusion of behavioral analysis and supportive coaching—without drifting into signals—demonstrates a nuanced understanding of retail trading risks and differentiates the project in a crowded market tools space."
Mallika Rao
Engineering Leader