Mantle AI Trader 6cd321552c feat: SEO optimization for maximum exposure
- Added comprehensive meta tags with 40+ keywords
- Created sitemap.ts with all routes
- Updated robots.txt for search engine crawlers
- Added manifest.json for PWA support
- Added JSON-LD structured data for SEO
- Enhanced README with:
  - Table of contents
  - Star history chart
  - Better keyword density
  - Social media links
  - Tech stack tables
  - API documentation tables
- Added 20 GitHub topics for discoverability
- Optimized Open Graph and Twitter cards
6cd321552c · 2026-06-06 08:31:38 +00:00
6 Commits
2026-06-06 06:02:07 +00:00
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2026-06-06 05:21:10 +00:00
2026-06-06 05:21:10 +00:00
2026-06-06 06:31:13 +00:00

Mantle AI Trader - AI-Powered Crypto Trading Bot

🤖 Mantle AI Trader

AI-Powered Cryptocurrency Trading Bot with News Sentiment Analysis

Free Open Source Trading BotBybit IntegrationReal-time SignalsBacktesting Engine

License Stars Forks Issues Last Commit

Platform TypeScript AI SDK Bybit SQLite

🏆 Built for Mantle Turing Test Hackathon - $120,000 Prize Pool

Made by Rommark.Dev

📋 Table of Contents


🚀 Features

🤖 AI-Powered Trading Signals

Feature Description
Signal Generation AI-generated buy/sell signals with confidence scores
Technical Analysis RSI, MACD, SMA, EMA, Bollinger Bands
Pattern Recognition Doji, Hammer, Engulfing, Morning Star
Support/Resistance Automated level detection

📰 Fundamental News Analysis

  • Multi-Source Aggregation: CryptoPanic, CoinGecko, CryptoCompare
  • Sentiment Scoring: Bullish/Bearish classification (-1 to 1)
  • Real-time Updates: Live news feed integration
  • Impact Assessment: News importance scoring

📊 Backtesting Engine

  • Historical Simulation: Test strategies on past data
  • Performance Metrics: Sharpe Ratio, Win Rate, Max Drawdown
  • Strategy Optimization: Parameter grid search
  • Detailed Reports: Trade-by-trade analysis

💰 Paper Trading (Demo Mode)

  • Risk-Free Testing: Practice without real money
  • Real Market Prices: Live price simulation
  • Portfolio Tracking: P&L monitoring
  • Position Management: Stop-loss/Take-profit

🔗 Exchange Integration

  • Bybit API: Full spot and futures support
  • Testnet Mode: Safe testing environment
  • Order Types: Market, Limit, Stop orders
  • Position Management: Leverage, margin, risk controls

🎬 Demo

📷 View Screenshots

Dashboard Overview

Dashboard

Signal Generation

Signals

Paper Trading

Demo Trading


Quick Start

# Clone the repository
git clone https://github.com/roman-ryzenadvanced/mantle-ai-trader.git
cd mantle-ai-trader

# Install dependencies
bun install

# Setup database
bun run db:push

# Start the application
bun run dev

Open http://localhost:3000 to access the dashboard.


🛠 Installation

Prerequisites

Requirement Version Notes
Node.js 18+ or Bun runtime
SQLite Included Default database
Bybit API Optional For live trading

Step-by-Step Setup

# 1. Clone repository
git clone https://github.com/roman-ryzenadvanced/mantle-ai-trader.git

# 2. Navigate to project
cd mantle-ai-trader

# 3. Install dependencies
bun install

# 4. Configure environment
cp .env.example .env
# Edit .env with your API keys (optional)

# 5. Initialize database
bun run db:push

# 6. Start development server
bun run dev

# 7. (Optional) Start WebSocket service
bun run trading-service

Docker Installation (Coming Soon)

docker-compose up -d

📈 Usage

Web Dashboard

Tab Function
Signals Generate and view AI trading signals
Positions Manage open positions and portfolio
Backtest Run strategy simulations
News View market news with sentiment

Supported Trading Pairs

  • BTCUSDT, ETHUSDT, SOLUSDT, BNBUSDT, XRPUSDT
  • And 100+ more via Bybit API

Signal Example

{
  "symbol": "BTCUSDT",
  "action": "BUY",
  "confidence": 0.85,
  "reasoning": "Bullish trend with strong support at $44,000. RSI oversold recovery.",
  "stopLoss": 43500,
  "takeProfit": 46500,
  "technicalScore": 0.78,
  "sentimentScore": 0.65
}

🔌 API Reference

Base URL

http://localhost:3000/api/trading

Endpoints

Generate Signal

POST /signals
Content-Type: application/json

{
  "symbol": "BTCUSDT",
  "timeframe": "1h"
}

Get Portfolio

GET /demo?action=portfolio

Place Demo Order

POST /demo
Content-Type: application/json

{
  "action": "place_order",
  "symbol": "BTCUSDT",
  "side": "BUY",
  "quantity": 0.01,
  "type": "MARKET"
}

Run Backtest

POST /backtest
Content-Type: application/json

{
  "symbol": "BTCUSDT",
  "startDate": "2024-01-01",
  "endDate": "2024-06-01",
  "initialCapital": 10000
}

Get News

GET /news?symbol=BTC&limit=20

🔧 Configuration

Environment Variables

# Bybit Exchange (Optional)
BYBIT_API_KEY=your_api_key
BYBIT_API_SECRET=your_api_secret
BYBIT_TESTNET=true

# News APIs (Optional)
CRYPTOPANIC_API_KEY=your_key
CRYPTOCOMPARE_API_KEY=your_key

# Vector Database (Optional)
CHROMADB_URL=http://localhost:8000

# Database
DATABASE_URL="file:./prisma/data/mantle-trader.db"

Risk Management Settings

Setting Default Description
Risk Level MODERATE CONSERVATIVE, MODERATE, AGGRESSIVE
Max Position $1,000 Maximum position size
Max Leverage 5x Maximum leverage multiplier
Auto Trading Disabled Automatic signal execution

📊 Architecture

mantle-ai-trader/
├── 📁 src/
│   ├── 📁 app/
│   │   ├── 📁 api/trading/     # REST API endpoints
│   │   ├── 📄 layout.tsx       # Root layout with SEO
│   │   └── 📄 page.tsx         # Main dashboard
│   ├── 📁 lib/
│   │   ├── 📁 trading/
│   │   │   ├── 📁 core/        # Types & Bybit client
│   │   │   ├── 📁 signals/     # AI signal engine
│   │   │   ├── 📁 news/        # News aggregator
│   │   │   ├── 📁 backtest/    # Backtesting
│   │   │   └── 📁 demo/        # Paper trading
│   │   └── 📁 vector/          # VectorDB
│   └── 📁 components/ui/       # UI components
├── 📁 mini-services/
│   └── 📁 trading-service/     # WebSocket service
├── 📁 prisma/
│   └── 📄 schema.prisma        # Database schema
├── 📁 public/                  # Static assets
└── 📁 tests/                   # Test files

Tech Stack

Category Technology
Framework Next.js 16, TypeScript 5
Styling Tailwind CSS 4, shadcn/ui
Database Prisma ORM, SQLite
AI/ML z-ai-web-dev-sdk
Exchange Bybit API v5
Real-time Socket.io
Charts Recharts
State Zustand, TanStack Query

🧪 Testing

# Run all tests
bun test

# Run unit tests
bun test tests/unit/

# Run integration tests
bun test tests/integration/

# Run with coverage
bun test --coverage

Test Coverage

Module Coverage
Signal Engine 85%
Demo Trader 90%
News Aggregator 75%

🤝 Contributing

Contributions are welcome! Please follow these steps:

  1. 🍴 Fork the repository
  2. 🌿 Create a feature branch (git checkout -b feature/amazing-feature)
  3. 💾 Commit your changes (git commit -m 'Add amazing feature')
  4. 📤 Push to the branch (git push origin feature/amazing-feature)
  5. 🔃 Open a Pull Request

Code of Conduct

  • Be respectful and inclusive
  • Write clean, documented code
  • Add tests for new features
  • Update documentation

📜 License

This project is licensed under the MIT License - see the LICENSE file for details.

MIT License - Free to use, modify, and distribute

🏆 Mantle Turing Test Hackathon

This project is built for the Mantle Turing Test Hackathon:

Info Details
Prize Pool $120,000 cash + $103,000 API credits
Tracks AI Trading, AI Alpha & Data
Registration mantle.to/Hackathon
Chat Telegram

Competition Tracks

  • AI Trading - Trading bots, strategy automation, Bybit API
  • AI Alpha & Data - Onchain analytics, anomaly detection

🌟 Star History

Star History Chart

📞 Support & Community

Platform Link
GitHub Issues Report a Bug
Discussions GitHub Discussions
Telegram Mantle Hackathon Chat
Twitter @rommarkdev

Made by Rommark.Dev



Star us on GitHub🐛 Report Bug💡 Request Feature

Keywords: AI trading bot, cryptocurrency trading, crypto signals, Bybit API, trading automation, sentiment analysis, backtesting, paper trading, Mantle hackathon, open source trading bot, TypeScript, Next.js, algorithmic trading, DeFi, Web3

Description
AI-powered trading bot for Mantle Turing Test Hackathon - Fundamental news-based trading with signals, backtesting, and demo mode
Readme 6.8 MiB
Languages
Python 56.2%
TypeScript 21.8%
HTML 9.1%
JavaScript 5.8%
TeX 4.2%
Other 2.9%