Kopitiam Capital

Overview

Built at Cursor Hackathon Singapore, Kopitiam Capital democratizes financial intelligence by providing retail traders with AI-powered market analysis tools previously available only to institutional investors. The platform combines multiple AI agents for comprehensive market monitoring and analysis.

Technical Highlights

• Agentic Framework: Leveraged Groq for fast inference, mem0 for persistent memory across sessions, and Smithery MCP for tool orchestration, enabling complex multi-step financial analysis workflows.

• Voice-Enabled Interface: Integrated ElevenLabs for natural language interaction, allowing traders to query market data and receive spoken insights.

• Comprehensive Analysis Pipeline: Built automated systems for back-testing strategies, sentiment analysis from news and social media, and generating market reports.

Ongoing Development

Currently expanding capabilities with additional data sources and more sophisticated trading signal generation.

Technical Challenge

The Problem: Aggregating sentiment from three incompatible sources — Exa.ai news, Reddit r/wallstreetbets (via PRAW), and StockTwits — each with different response formats, rate limits, and noise levels. Raw aggregation would let WSB meme energy drown out legitimate signals.

The Solution: Weighted confidence scoring across sources, with transparent per-source breakdowns (e.g., "NVDA sentiment 0.44, Reddit bearish at 0.29"). The Router Agent (Groq Llama 3.3 70B, free tier) classifies intent and delegates to specialized agents. Mem0 integration adapts position sizing to learned risk profiles — conservative users get 1.5% allocations vs 5% for aggressive traders from identical signals.

Why It Matters: Full sentiment pipeline runs in ~8 seconds across three sources; backtesting completes in ~3 seconds. Fast enough to be useful, transparent enough to be trusted.