Basics
- Market structure and common indicators
- Difference between data and signals
- Correlation vs causation
Education
Core concepts, learning paths, and risk awareness.
Advanced
- Time series and feature engineering
- Noise, overfitting, and robustness
- Visualization and interpretability
Risks
- Overconfidence and survivorship bias
- Data quality and latency
- Not investment advice
Disclaimer Note
This website is for informational and educational purposes only, not investment advice or any form of commitment.