Metadata-Version: 2.2
Name: cades
Version: 1.0.0
Summary: Advanced AI system for detecting anomalous patterns in cryptocurrency markets
Home-page: https://github.com/joengo72/crypto-anomaly-detection-engine-system
Author: CADES Team
Author-email: CADE Team <contact@cades.io>
License: MIT License
        
        Copyright (c) 2025 cades-sol
        
        Permission is hereby granted, free of charge, to any person obtaining a copy
        of this software and associated documentation files (the "Software"), to deal
        in the Software without restriction, including without limitation the rights
        to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
        copies of the Software, and to permit persons to whom the Software is
        furnished to do so, subject to the following conditions:
        
        The above copyright notice and this permission notice shall be included in all
        copies or substantial portions of the Software.
        
        THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
        IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
        FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
        AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
        LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
        OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
        SOFTWARE.
        
Project-URL: Homepage, https://cades.io
Project-URL: Repository, https://github.com/joengo72/crypto-anomaly-detection-engine-system
Project-URL: Issues, https://github.com/joengo72/crypto-anomaly-detection-engine-system/issues
Platform: Linux
Platform: MacOS X
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Financial and Insurance Industry
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Office/Business :: Financial :: Investment
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Operating System :: POSIX :: Linux
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Environment :: GPU :: NVIDIA CUDA :: 11.8
Classifier: Framework :: AsyncIO
Classifier: Framework :: FastAPI
Classifier: Natural Language :: English
Requires-Python: >=3.9
Description-Content-Type: text/markdown
License-File: LICENSE
Dynamic: author
Dynamic: home-page
Dynamic: platform
Dynamic: requires-python

# CADES (Crypto Anomaly Detection Engine System)

CADES is an advanced AI system for detecting anomalous patterns in cryptocurrency markets through on-chain data analysis and social sentiment monitoring. It provides real-time analysis and early warning systems for potential market manipulations.

## Core Features
* Real-time blockchain monitoring
* Social sentiment analysis
* Pattern recognition system
* Anomaly detection engine
* Risk scoring system

## Basic System Requirements

### Hardware Requirements
* CPU: 8+ cores (AMD Ryzen 7/Intel i7 or better)
* RAM: 32GB minimum
* Storage: 1TB NVMe SSD
* Network: 1Gbps stable connection

### Software Requirements
* Operating System: Ubuntu 22.04+ / Debian 11+
* Python 3.9 or higher
* Docker 24.0+
* NGINX 1.18+
* PostgreSQL 14+

## Advanced AI Features

CADES includes advanced AI capabilities for deep pattern analysis and prediction. These features require additional resources.

**Note**: Advanced AI features are optional. You can run basic anomaly detection without enabling the full AI pipeline.

### Additional Hardware Requirements for AI Pipeline
* CPU: 16+ cores recommended
* RAM: 64GB minimum
* Storage: Additional 1TB NVMe SSD
* GPU: NVIDIA RTX 4080 16GB or better
* Network: 10Gbps connection recommended

### AI Specifications
* Models: BERT, LSTM, Custom Transformers
* Quantization: FP16 precision
* Memory Usage: ~40GB RAM when fully active
* Disk Space: ~100GB for model files
* Processing Time: Sub-second for basic analysis
* Context Window: 8192 tokens
* Data Sources: On-chain + 5 social platforms

## Setup Guide

1. Basic Installation

```bash
# Clone the repository
git clone https://github.com/joengo72/crypto-anomaly-detection-engine-system.git
cd crypto-anomaly-detection-engine-system

# Create virtual environment
python -m venv venv
source venv/bin/activate  # Linux/Mac
# or
.\venv\Scripts\activate  # Windows

# Install dependencies
pip install -r requirements.txt
```

2. Configure Your System
Create a configuration file at `config/development.yml`:

```yaml
# Basic configuration
server:
  host: "0.0.0.0"
  port: 8000
  workers: 4
  
database:
  url: "postgresql://user:pass@localhost:5432/cades"
  pool_size: 20

blockchain:
  rpc_endpoint: "your-solana-rpc"
  update_interval: 60

# AI pipeline configuration (optional)
ai_pipeline:
  enabled: false  # Set to true for full AI capabilities
  model_path: "./models/"
  batch_size: 32
  use_gpu: true
  memory_limit: 40GB
```

3. Start the System

For basic monitoring:
```bash
# Start the basic system
python src/api/routes.py --config config/development.yml
```

For full AI pipeline:
```bash
# Download AI models (approximately 100GB)
python scripts/download_models.py

# Start with full AI capabilities
python src/api/routes.py --config config/development.yml --enable-ai
```

## Performance Optimization

### Basic System Optimization
* Monitor database performance
* Adjust worker processes
* Configure connection pooling
* Optimize blockchain RPC calls

### AI Pipeline Optimization
* Use GPU acceleration when available
* Adjust batch sizes based on memory
* Enable model quantization
* Configure processing queues

## Troubleshooting

1. **Basic System Issues**
   * Check database connectivity
   * Verify RPC endpoint access
   * Monitor system resources
   * Check log files in `logs/`

2. **AI Pipeline Issues**
   * Insufficient GPU memory: Reduce batch size
   * High CPU usage: Adjust worker count
   * Slow processing: Check network bandwidth
   * Model loading errors: Verify model files

## Support

For technical support:
* Review documentation: https://cades.gitbook.io/docs
* Submit issues on GitHub: https://github.com/joengo72/crypto-anomaly-detection-engine-system/issues
* Contact technical team: support@cades.io

## License

This project is proprietary software. All rights reserved.

## Contact

* Website: https://cades.io
* Email: contact@cades.io
