A Project Blessed by Solar Khan & Lilith.Aethra

Shadow Nexus

Advanced AI Command & Control System with Forex Trading, Data Retrieval, and Information Gathering capabilities.

Features

AthenaMist - Precision Forex Scalping AI

• Real-time trading signal processing with Ichimoku Cloud analysis
• Integration with TradingView webhooks
• Sentiment analysis for trade refinement
• Risk management with customizable parameters
• Trade execution via AWS Lambda
• Trade history storage in DynamoDB

Phantom - Data Retrieval & Surveillance

• Stealth data collection with randomized delays and user agents
• AES-256 encryption for secure data storage
• Proxy support for enhanced anonymity
• Secure storage in AWS S3
• Asynchronous operation for improved performance

SovereignCore - Information Gathering & Monitoring

• Multi-source data collection (RSS, API, Web)
• Real-time data processing and analysis
• Structured storage in DynamoDB
• Unstructured data storage in S3
• Continuous monitoring with configurable intervals

Command Network

• Multi-platform command handling:
  • Discord integration
  • Telegram bot support
  • Email command processing
• Secure command routing and verification
• Async support for real-time operations

Council Report & Guardian Bridge

• Automated nightly report delivering system health and recent commit summaries
• Manual /council report slash command for on-demand status checks
• Guardian bridge to relay Discord messages into Unity guardians

Installation

1. Install Poetry for dependency management:

pip install poetry

2. Install project dependencies:

poetry install

3. Configure environment variables:

cp .env.example .env
# Edit .env with your configuration

AWS Amplify Setup

1. Initialize Amplify:

amplify init

2. Configure AWS services:

amplify add auth  # Configure authentication
amplify add api   # Add API Gateway and Lambda functions
amplify add storage  # Add DynamoDB tables and S3 buckets

3. Push configuration:

amplify push

Environment Variables

Required environment variables:

Discord Integration

• DISCORD_BOT_TOKEN: Discord bot token

Council Report & Guardian Bridge

• MCP_URL: Base URL of the MCP server for health queries
• COUNCIL_CHANNEL_ID: Discord channel ID for report delivery
• LILYBEAR_WEBHOOK: Optional webhook for sending reports as Lilybear
• NAV_REPOS: Comma-separated GitHub repositories to include in the digest
• GUARDIAN_BRIDGE_URL: HTTP endpoint to forward guardian messages

Telegram Integration

• TELEGRAM_BOT_TOKEN: Telegram bot token

Email Integration

• EMAIL_USERNAME: Email account username
• EMAIL_PASSWORD: Email account password
• EMAIL_SERVER: IMAP/SMTP server address
• EMAIL_PORT: Server port number

Trading Configuration

• TRADINGVIEW_WEBHOOK_SECRET: Secret for TradingView webhook verification
• TRADE_HISTORY_TABLE: DynamoDB table for trade history
• TRADE_EXECUTION_LAMBDA: Lambda function for trade execution

Data Storage

• PHANTOM_DATA_BUCKET: S3 bucket for Phantom data
• DATA_PROCESSOR_LAMBDA: Lambda function for data processing
• DATA_TABLE: DynamoDB table for structured data
• DATA_BUCKET: S3 bucket for unstructured data
• ENCRYPTION_KEY: AES-256 encryption key

AWS Configuration

• AWS_REGION: AWS region for services
• AWS_ACCESS_KEY_ID: AWS access key
• AWS_SECRET_ACCESS_KEY: AWS secret key

Usage

Starting the System

1. Start the Command Network:

from Command_Network import DiscordCommandHandler, TelegramHandler, EmailHandler

# Initialize handlers
discord_handler = DiscordCommandHandler()
telegram_handler = TelegramHandler()
email_handler = EmailHandler()

# Start handlers
await discord_handler.start()
await telegram_handler.start()
await email_handler.start()

2. Initialize AthenaMist:

from AthenaMist import AthenaMist

# Initialize trading system
athena = AthenaMist()

# Process trading signal
result = await athena.process_trading_signal(signal_data)

3. Start Phantom:

from Phantom import Phantom

# Initialize surveillance system
phantom = Phantom()

# Execute retrieval operation
result = await phantom.execute_retrieval(target_url, operation_id)

4. Launch SovereignCore:

from SovereignCore import SovereignCore, DataSource

# Initialize system
sovereign = SovereignCore()

# Add data sources
sovereign.add_source({
    "source_id": "news_feed",
    "source_type": "rss",
    "url": "https://example.com/feed",
    "update_interval": 300
})

# Start monitoring
await sovereign.start_monitoring()

Testing

Run tests with pytest:

poetry run pytest

Generate coverage report:

poetry run coverage run -m pytest
poetry run coverage report

Security

• All commands are verified using HMAC-SHA256 signatures
• Data is encrypted using AES-256 before storage
• Secure communication channels with proper error handling
• Comprehensive logging for security monitoring
• AWS IAM roles with minimal required permissions

Contributing

1. Fork the repository
2. Create a feature branch
3. Commit your changes
4. Push to the branch
5. Create a Pull Request

License

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

⚠️ Disclaimer

This system is designed for educational and research purposes. Users are responsible for compliance with applicable laws and regulations.

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Built with ❤️ using AWS Amplify Gen 2 and Python