iTapGo Quant is maintained by an editorial desk focused on AI quantitative trading education, backtesting discipline, and risk-aware research process. Articles are written for readers who want to learn how systematic trading ideas are evaluated, not for readers seeking trade calls.
Coverage Areas
- AI-assisted market research workflows
- Backtesting assumptions and validation methods
- Transaction costs, slippage, and execution realism
- Portfolio risk, drawdown, and model governance
- Research documentation and review checklists
Corrections
If an article needs correction or clarification, contact the editorial desk through the contact page. We prioritize corrections related to definitions, risk language, data interpretation, and compliance-sensitive financial claims.