Empowering cost-friendly DeepSeek V3-0324 Inference for Algorithmic trading focused on SOL/USDT on Binance Futures with scalping strategies using ensemble machine learning models

Ensemble Model Scalping Agent - SOL/USDT

A Next.js application for algorithmic trading focused on SOL/USDT scalping strategies using ensemble machine learning models.

Features

• Real-time market data visualization
• Advanced technical indicators analysis
• Backtesting module with historical data
• Simulation environment for strategy testing
• AI-powered pattern recognition
• Ensemble model performance tracking
• Risk management tools
• Trading dashboard with comprehensive metrics

Technology Stack

• Frontend: Next.js 13 (App Router), TypeScript, Tailwind CSS
• Data: Binance WebSocket API, CCXT library
• AI/ML: Custom ensemble models, fine-tuning capabilities
• Database: Supabase (PostgreSQL)
• Visualization: Custom D3.js charts
• State Management: React Context
• Build: pnpm

Directory Structure

├── app/                  # Next.js app router pages
│   ├── api/              # API routes
│   ├── backtest/         # Backtesting interface
│   ├── market/           # Market data views
│   ├── models/           # Model management
│   └── scalping/         # Core trading interface
├── components/           # Reusable UI components
│   ├── charts/           # Data visualization
│   ├── indicators/       # Technical indicators
│   ├── models/           # Model components
│   └── trading/         # Trading-specific UI
├── contexts/             # Application contexts
├── docs/                 # Documentation
├── hooks/                # Custom React hooks
├── lib/                  # Core business logic
│   ├── api/              # API clients
│   ├── backtesting/      # Backtesting logic
│   ├── ensemble/         # Ensemble model logic
│   └── trading/          # Trading strategies
├── public/               # Static assets
├── services/             # Business services
├── styles/               # Global styles
└── utils/                # Utility functions

Getting Started

1. Install dependencies:

pnpm install