A self-evolving AI trading agent that learns from quantitative optimization, user behavior, and real-time market intelligence.

Built for the Self-Evolving Agents Hackathon using LiquidMetal Raindrop, Fastino AI, and LinkUp.

Most trading bots use static rules and fixed parameters. StrategyEvolve is different:

• 🧠 Learns YOUR unique trading edge from your decisions and outcomes
• 📊 Optimizes strategies through continuous backtesting and evolution
• 🌐 Stays current with real-time market news and context
• 🔄 Self-improves through three independent evolution loops

┌─────────────────────────────────────────────────────────────┐
│                  EVOLUTION LOOPS                             │
├─────────────────────────────────────────────────────────────┤
│  Loop 1: Quantitative Optimization (Raindrop)               │
│  • Generate strategy variants                                │
│  • Parallel backtesting                                      │
│  • Performance metrics & selection                           │
│                                                              │
│  Loop 2: Behavioral Learning (Fastino)                      │
│  • Ingest user trades & decisions                           │
│  • Stage 3 agentic search discovers patterns                │
│  • Learn user's unique trading edge                         │
│                                                              │
│  Loop 3: Contextual Intelligence (LinkUp)                   │
│  • Real-time market news & sentiment                        │
│  • Earnings & macro event detection                         │
│  • Context-aware decision making                            │
└─────────────────────────────────────────────────────────────┘

Frontend:

• React 18 + TypeScript
• Vite for blazing fast dev experience
• TailwindCSS for modern UI
• Recharts for data visualization
• Zustand for state management

Backend:

• Node.js + Express
• TypeScript
• PostgreSQL (via Raindrop SmartSQL) ✅

AI/ML Platforms:

• Raindrop - Infrastructure, parallel tasks, SmartSQL database, observers ✅
• Fastino - User behavioral learning & personalization
• LinkUp - Real-time market intelligence

• Genetic algorithm-based parameter tuning
• Parallel backtesting via Raindrop Tasks (10x faster) ✅
• Performance metrics: Sharpe ratio, returns, drawdown, win rate

• Captures user trades, overrides, and reasoning
• Fastino Stage 3 discovers non-obvious patterns
• Learns user's emotional triggers and risk tolerance

• Real-time news and sentiment via LinkUp
• Earnings and macro event detection
• Context-aware signal enhancement

• Combines quantitative optimization with user behavioral patterns
• Blends systematic signals with human intuition
• Adaptive position sizing based on learned preferences

• Real-time visualization of strategy evolution
• Performance metrics over time
• User behavioral insights
• Market context integration

• Node.js 18+
• npm or yarn
• LiquidMetal API Key (Get one here)
• Fastino API Key (Get one here)
• LinkUp API Key (Get one here)

# Navigate to project
cd strategy-evolve

# Install frontend dependencies
cd frontend
npm install

# Install backend dependencies
cd ../backend
npm install

# Set up environment variables
cp .env.example .env
# Edit .env with your API keys

# Start development
npm run dev

# LiquidMetal Raindrop
LM_API_KEY=your_liquidmetal_api_key

# Fastino
FASTINO_API_KEY=your_fastino_api_key

# LinkUp
LINKUP_API_KEY=your_linkup_api_key

# Server
PORT=3001
NODE_ENV=development

strategy-evolve/
├── frontend/                 # React + TypeScript UI
│   ├── src/
│   │   ├── components/      # React components
│   │   ├── pages/           # Page components
│   │   ├── hooks/           # Custom hooks
│   │   ├── store/           # Zustand state management
│   │   ├── services/        # API services
│   │   └── types/           # TypeScript types
│   └── package.json
│
├── backend/                 # Node.js + Express API
│   ├── src/
│   │   ├── routes/          # API routes
│   │   ├── services/        # Business logic
│   │   │   ├── fastino.ts   # Fastino integration
│   │   │   ├── linkup.ts    # LinkUp integration
│   │   │   ├── raindrop.ts  # Raindrop integration
│   │   │   ├── strategy.ts  # Strategy engine
│   │   │   └── evolution.ts # Evolution logic
│   │   ├── models/          # Data models
│   │   └── utils/           # Utilities
│   └── package.json
│
├── docs/                    # Documentation
│   └── PROJECT_PLAN.md      # Detailed project plan
│
└── README.md

• Not just memory - actual strategy improvement
• Three independent learning loops
• Quantifiable metrics showing evolution

• Raindrop: Tasks, Queues, SmartSQL, Observers, deployment
• Fastino: Register, ingest, Stage 3, query, chunks - all features used meaningfully
• LinkUp: Real-time intelligence, structured output, sourced answers

• First to combine quant optimization + behavioral learning + real-time context
• Goes beyond typical "chatbot with memory"
• Shows deep understanding of each platform's strengths

• Clear before/after metrics
• Live evolution visible in real-time
• Relatable use case (trading)
• Professional UI

• Raindrop Documentation
• Fastino Documentation
• LinkUp API Reference
• Hackathon Details

MIT License

Built with ❤️ for the Self-Evolving Agents Hackathon

Let's show the world what true self-evolving agents can do!