TREND-X-BTC: Bitcoin 30 Days Forecasting with LSTMs and Multi-Head Attention Mechanism

Table of Contents

• Overview
• Key Features and Highlights
• Tech Stack
• Prerequisites
• Installation
• Project Structure
• Contributing
  • Getting Started
• License
• Contact

Overview

TREND-X-BTC is an advanced cryptocurrency price prediction system leveraging LSTM neural networks combined with attention mechanisms to forecast Bitcoin prices with an impressive 98% accuracy. The project leverages market sentiments, macroeconomic factors, blockchain data, and Bitcoin-related datasets from Binance to deliver comprehensive insights and accurate forecasts, empowering users to make confident and informed trading decisions.

Key Features and Highlights

• Advanced Data Integration:
  Combines market sentiment, blockchain activity, trading volumes, volatility indices, and macroeconomic factors from diverse sources, including Binance, Alternative.me, FRED, CryptoCompare, and Google BigQuery, for comprehensive insights.

• Sophisticated AI Architecture:
  Built with PyTorch, leveraging LSTM and Multi-Head Attention for highly accurate forecasts, powered by GPU acceleration for enhanced performance.

• Real-time Analysis with Language Models:
  Integrates multiple language models (Llama, Gemini, Gemma, Mistral) and web search with citations to ensure response reflects the latest market trends.

• Interactive and Intuitive Dashboard:
  Offers a user-friendly interface featuring real-time metrics, live price updates, and insightful visualizations for informed decision-making.

• Automated Workflow:
  Implements Windows Scheduler to automate data fetching, preprocessing, and model training, continuously improving prediction accuracy on daily basis.

• Firebase Integration:
  Seamlessly stores data and models, ensuring smooth operational scalability and accessibility.

• Comprehensive Data Preprocessing:
  Ensures data quality through extensive cleaning and augmentation for robust model performance.

Tech Stack

• Backend: PyTorch
• Frontend: Next.js with TypeScript
• Database: Firebase
• Data Sources: Binance, Alternative.me, FRED, CryptoCompare, Google BigQuery

Prerequisites

Software:

• Python 3.11+
• CUDA Toolkit (for GPU support)

Accounts:

• Firebase
• Google Cloud (for BigQuery)

API Keys:

• Binance
• Alpha Vantage
• CryptoCompare
• FRED

Installation

Clone the Repository

$env:GIT_HTTP_MAX_BUFFER=104857600; git clone --depth 1 https://github.com/AhsenTahir/Trend-X-BTC.git
cd Trend-X-BTC

Setting Up the Environment and Running the Project

# Set Up Virtual Environment
python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

# Install Dependencies
pip install -r requirements.txt

# Configure Environment Variables
# Create a .env file in the root directory and add the following:
# BINANCE_API_KEY=your_binance_api_key
# BINANCE_SECRET_KEY=your_binance_secret_key
# NEWS_SENTIMENT_API_KEY=your_alphavantage_api_key
# RSI_API_KEY=your_cryptocompare_api_key
# FRED_API_KEY=your_fred_api_key

# Install PyTorch with CUDA Support
pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu118

# Verify Installation
python check.py

# Train the Model
python training.py

Project Structure

Trend-X-BTC/
├── data_generator/         # Data collection and integration
├── data_cleaning/          # Data cleaning utilities
├── DataPreprocessing/      # Data preprocessing and augmentation
├── model_architecture/     # LSTM model implementation
├── Stored_data/            # Local data storage
├── firebase_utils.py       # Firebase integration
├── training.py             # Model training pipeline
├── main.py                 # FastAPI server
├── future_predictions.py   # Prediction generation
├── requirements.txt        # Python dependencies
├── check.py                # Installation check script
└── README.md               # Project documentation

Contributing

Getting Started

• Fork the repository and clone it locally.
• Create a new branch for your feature or bug fix.
• Commit your changes with descriptive messages.
• Submit a pull request for review.

License

This project is licensed under the MIT License.

Contact

For questions, suggestions, or collaboration opportunities, please open an issue or reach out directly at [email protected].

© 2024 TREND-X-BTC. All rights reserved.