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FlutterFish

AI-Powered Trading Intelligence Platform

A sophisticated full-stack trading application combining real-time market data visualization with AI-driven analysis. Built as a production-grade monorepo with multi-chart dashboards, a 3-layer AI safety model, and seamless multi-user authentication.

Next.js 14React 18TypeScriptTailwind CSSZustandWebSocketRedisPostgreSQLPrismaNextAuthPython FastAPILangChainOpenAIAnthropic ClaudeChromaDBDockerElectron
FlutterFish screenshot

The Challenge

Individual traders lack access to the institutional-grade tools and AI-powered analysis that large firms use. Existing retail platforms offer limited customization and no intelligent assistance for trade decision-making.

The Solution

Built a comprehensive trading platform with real-time WebSocket data feeds, customizable multi-chart layouts, and a 3-layer AI safety model (risk assessment, compliance check, and human confirmation) using LangChain and OpenAI. The system features a trade simulator for risk-free practice and market scanners for pattern detection.

Results

  • 47,858 lines of production code across 5 packages
  • 314+ automated tests with comprehensive coverage
  • Sub-100ms real-time data updates via WebSocket + Redis pub/sub
  • Monorepo architecture enabling rapid feature development

By the Numbers

47,858

Lines of Code

314+

Tests

5

Packages

<100ms

Data Latency

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