Use this section to tell people about which versions of your project are currently being supported with security updates.
| Version | Supported |
|---|---|
| 1.0.x | ✅ |
| < 1.0 | ❌ |
We take the security of the AI-in-Trading-Workflow project seriously. If you believe you have found a security vulnerability, please report it to us as described below.
Please do not report security vulnerabilities through public GitHub issues.
Instead, please report them via email to our security team:
- Email: sales@quantinsti.com
- Subject: [SECURITY] AI-in-Trading-Workflow Vulnerability Report
To help us understand and address the issue, please include the following information:
- Description: A clear description of the vulnerability
- Steps to Reproduce: Detailed steps to reproduce the issue
- Impact: Potential impact of the vulnerability
- Environment:
- Operating system
- Python version
- Package version
- Any relevant configuration details
- Proof of Concept: If possible, include a proof of concept or code example
- Suggested Fix: If you have suggestions for fixing the issue
- Acknowledgment: You will receive an acknowledgment within 48 hours
- Investigation: Our security team will investigate the reported vulnerability
- Updates: We will keep you updated on our progress
- Resolution: Once resolved, we will:
- Release a security update
- Credit you in our security advisory (if you wish)
- Update this document if necessary
When using the AI-in-Trading-Workflow, please follow these security best practices:
- Use strong, unique passwords for your trading accounts
- Enable two-factor authentication (2FA) on your accounts
- Regularly review your account activity and trading history
- Never share your credentials with anyone
- Keep your API credentials secure
- Use paper trading accounts for testing
- Regularly rotate API keys and passwords
- Monitor API usage for unusual activity
- Never commit sensitive information (passwords, API keys) to version control
- Use environment variables for sensitive configuration
- Regularly update dependencies to patch security vulnerabilities
- Review and validate all trading strategies before live deployment
- Use secure connections when connecting to trading servers
- Avoid using public Wi-Fi for trading activities
- Use a VPN if accessing from untrusted networks
- Keep your operating system and software updated
The AI-in-Trading-Workflow includes several security features:
- Input Validation: All user inputs are validated to prevent injection attacks
- Error Handling: Comprehensive error handling prevents information leakage
- Logging: Secure logging practices that don't expose sensitive information
- Configuration: Secure configuration management for sensitive data
- Financial Risk: Algorithmic trading involves significant financial risk
- Market Risk: Market conditions can change rapidly and affect trading performance
- Technical Risk: Software bugs or system failures can result in financial losses
- Regulatory Risk: Trading activities must comply with applicable regulations
- API Limitations: Trading APIs have rate limits and connection restrictions
- Data Quality: Market data may be delayed or inaccurate
- System Failures: Hardware or software failures can interrupt trading
- Network Issues: Internet connectivity problems can affect trading execution
We are committed to responsible disclosure of security vulnerabilities. We will:
- Work with security researchers to understand and fix issues
- Provide appropriate credit for reported vulnerabilities
- Release security updates in a timely manner
- Maintain transparency about security issues when appropriate
Security updates will be released as patch versions (e.g., 1.0.1, 1.0.2) and will be clearly marked as security releases in our changelog.
For security-related questions or concerns:
- Security Team: security@example.com
- General Support: sales@quantinsti.com
- Emergency Contact: For critical security issues, please use the security email with [URGENT] in the subject line
We would like to thank the security researchers and community members who help us maintain the security of the AI-in-Trading-Workflow project by reporting vulnerabilities and suggesting improvements.
Note: This security policy is subject to change. Please check back regularly for updates.