🚀 MarketPulse AI (BTCPRO)

High-Performance Trading Intelligence Dashboard powered by Local AI (Ollama)

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📌 Overview

MarketPulse AI (BTCPRO) is a real-time trading intelligence system that combines:

• 📡 Live market news (RSS feeds)
• 🧠 Local AI analysis (Ollama / Llama 3)
• 📊 Advanced technical indicators
• ⚠️ Risk & trade management tools
• 📚 Built-in trading knowledge (Books system)

The goal is simple: 👉 Turn raw news + data into actionable trading decisions.

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⚡ Core Features

🧠 AI Intelligence Engine

• Local AI (Ollama) – no external dependency
• Bullish / Bearish sentiment detection
• Impact scoring (0–100)
• Trade suggestions (Entry / SL / TP)
• Memory-aware learning system

📚 Books Knowledge System

• Built-in trading knowledge (psychology, risk, macro)
• Real book references (Mark Douglas, Ray Dalio, etc.)
• Enhances AI reasoning beyond raw data

📰 Live News Engine

• Crypto, Macro, Politics, Global feeds
• RSS aggregation + proxy handling
• Source links included for transparency

📊 Trading Dashboard

• Real-time price tracking

• Candlestick chart (zoom, pan, OHLCV)

• Multi-indicator system:

  • RSI, MACD, VWAP
  • Bollinger Bands, Stochastic

📈 Signal Engine

• Bullish / Bearish signal counts
• Indicator-based bias system
• Visual badges for decision support

⚠️ Risk Management Panel

• Position sizing (Kelly Criterion)
• Risk/Reward validation
• Drawdown tracking
• Exposure meter

💼 Trade Journal

• Live P&L tracking
• Trade history
• Close-at-price feature

🔔 Alerts System

• Price alerts
• RSI alerts
• % movement alerts
• Browser notifications

🌍 Macro Panel

• DXY, Gold, SPX, VIX tracking
• Correlation insights

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🧱 Project Structure

MarketPulse AI /

backend/
  books_server.py
  books_knowledge.py

frontend/
  src/
    components/
    hooks/
    utils/

core/
  AI Engine (Ollama)
  News Processor
  Signal Engine

storage/
  SQLite DB

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🛠️ Tech Stack (Simplified)

• Local AI: Ollama (Llama 3)
• Backend: Fast API style service
• Frontend: Modern reactive UI
• Database: SQLite (local storage)

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⚙️ How It Works

1. News is fetched from RSS feeds

2. Headlines are sent to local AI

3. AI analyzes using:

   • Books knowledge
   • Market context
   • Historical memory

4. Output includes:

   • Sentiment
   • Impact score
   • Trade direction

5. Data is stored for future learning

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🧠 AI Prompt System

The AI operates on 3 layers:

1. Books (Knowledge)
2. News (Real-time input)
3. Memory (Past outcomes)

This creates a learning trading assistant, not just a predictor.

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💡 Key Concepts Used

• Long vs Short trading
• Leverage & liquidation
• Risk management
• Market psychology
• Macro economics

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🚀 Getting Started

Run Full System

run-full-system.bat

Start Frontend

npm install
npm run dev

Start Backend

python books_server.py

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📊 Future Enhancements

• AI self-learning accuracy tracking
• Strategy backtesting
• Multi-asset support
• Mobile version

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👨‍💻 Developer

Muhammad Faizan (Faizzyhon)

• AI Engineer | React Developer | Cybersecurity Specialist
• GitHub: https://github.com/faizzyhon
• Portfolio: https://faizzyhon.online

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⚠️ Disclaimer

This project is for educational and research purposes only.

Trading involves risk. Always do your own analysis before making financial decisions.

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🧩 Version

BTCPRO — MarketPulse AI Core
Initial Commit
35 files | 9000+ lines

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🔥 Vision

"Don’t just follow the market. Understand it. Predict it. Act on it."