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Custom Indicators

Difficulty beginner

Overview

Building custom indicators allows you to quantify your unique market edge. This guide covers the process from concept to implementation.

Indicator Design Process

1. Hypothesis → What market behavior do you want to capture?
2. Mathematical Formulation → How do you quantify it?
3. Implementation → Code it efficiently
4. Testing → Validate on historical data
5. Optimization → Tune parameters
6. Monitoring → Track live performance

Best Practices

  1. Keep It Simple — Complex ≠ better
  2. Avoid Overfitting — Test out-of-sample
  3. Economic Rationale — Why should it work?
  4. Robust Parameters — Should work across parameter ranges
  5. Efficient Code — Vectorize, avoid loops
  6. Document — Explain the logic and assumptions

Next Steps