We aim to make this project a respectful, practical, and research-oriented space for quantitative finance and machine learning work. Contributors and maintainers are expected to communicate professionally and assume good intent.
- Be respectful and constructive.
- Focus criticism on ideas, code, assumptions, experiments, and documentation.
- Share enough context for others to reproduce or understand your point.
- Respect licensing, data rights, and privacy constraints.
- Harassment, insults, or personal attacks.
- Publishing private credentials, private datasets, or confidential trading information.
- Misrepresenting research results, benchmark conditions, or investment performance.
- Spam, deceptive promotion, or unrelated solicitation.
Maintainers may edit, hide, or remove comments, issues, pull requests, or contributions that violate this code of conduct. Repeated or severe violations may result in a ban from project participation.
This code of conduct applies to this repository and project-related communication spaces.