person

About the Operator

[IDENTITY]

Anak Agung Ngurah Alit Mahendra Putra

Quantitative Researcher and founder of . Based in Indonesia. Self-taught in systematic trading, factor research, and live strategy deployment.

Started research in November 2025 building ML price prediction models — they all failed. In May 2026, pivoted to mechanism-first factor research after realizing that prediction without mechanism is curve-fitting. Within two months, shipped a live systematic equity strategy with a mechanism-validated signal, pre-specified kill conditions, and full factor attribution.

Every strategy shipped has a clear structural rationale, pre-specified kill conditions, and honest factor attribution. The research process is the edge — not the signal.

[EXPERIENCE]

Direct Experience

  • Systematic strategy research & development (Nov 2025 – present)
  • Live strategy deployment & monitoring (Jul 2026 – present)
  • ML model development (Nov 2025 – May 2026, discontinued)
  • Python, NumPy/SciPy, backtesting engines, REST API integration
[DOMAIN]

Competence Areas

Factor Investing Systematic Trading Backtesting Risk Management Factor Attribution Python Async Architecture Order Execution
[VERIFICATION]

Identity & Verification

Name
Anak Agung Ngurah Alit Mahendra Putra
Role
Founder & Quantitative Researcher
Location
Indonesia
Active
Since Nov 2025
GitHub
AkiroKazuki
Email
[email protected]
Active // Live Since Jul 2026
[TRUST]

Trust & Transparency

  • + All performance data verified through systematic backtesting
  • + Kill conditions pre-specified before deployment
  • + Full factor attribution disclosed
  • + Out-of-sample track record maintained
  • + No backtest overfitting — mechanism-first validation

Past performance is not indicative of future results. This is a personal research portfolio, not a registered investment advisory.

timeline

Timeline

Jul 2026

Strategy I Goes Live

Live deployment with pre-specified kill conditions and OOS tracking.

Jun 2026

Strategy I Research Complete

Backtesting, factor attribution, kill conditions all validated. Signal remains consistent across evaluated timeframes.

May 2026

The Pivot

Abandoned ML price prediction. Realized directional forecasting is the wrong problem. Stepped back, rethought from first principles — mechanism, not prediction.

Nov 2025

Research Begins

Started with ML price prediction models. Built, tested, failed — six months of systematic failure that taught the only thing that matters: mechanism.