ml_paramscan Stable-plateau parameter selection
The overfit cure: when you scan a parameter, don’t pick the single BEST-scoring value (that cell is almost always overfit) — pick the robust PLATEAU that scores well AND consistently. Score each variant by mean − λ·std and choose the argmax. Turns any parametric script self-tuning and overfit-resistant.
Design: the host runs the variants in parallel (a small state array per candidate parameter) and keeps each variant’s running performance mean and std; this library scores and selects. Pure functions of the arrays you pass; nothing repaints.
Concept credit: stability-over-optimum (plateau) parameter selection is a standard walk-forward / robustness practice — original, dependency-free Pine v6 packaging. Educational; not financial advice.
Library "ml_paramscan"
plateauScore(mean, std, lambda)
Parameters:
mean (float)
std (float)
lambda (simple float)
stablePlateau(means, stds, lambda)
Parameters:
means (array<float>)
stds (array<float>)
lambda (simple float)
bestPlateauScore(means, stds, lambda)
Parameters:
means (array<float>)
stds (array<float>)
lambda (simple float)
Design: the host runs the variants in parallel (a small state array per candidate parameter) and keeps each variant’s running performance mean and std; this library scores and selects. Pure functions of the arrays you pass; nothing repaints.
Concept credit: stability-over-optimum (plateau) parameter selection is a standard walk-forward / robustness practice — original, dependency-free Pine v6 packaging. Educational; not financial advice.
Library "ml_paramscan"
plateauScore(mean, std, lambda)
Parameters:
mean (float)
std (float)
lambda (simple float)
stablePlateau(means, stds, lambda)
Parameters:
means (array<float>)
stds (array<float>)
lambda (simple float)
bestPlateauScore(means, stds, lambda)
Parameters:
means (array<float>)
stds (array<float>)
lambda (simple float)
Haftungsausschluss
Die Informationen und Veröffentlichungen sind nicht als Finanz-, Anlage-, Handels- oder andere Arten von Ratschlägen oder Empfehlungen gedacht, die von TradingView bereitgestellt oder gebilligt werden, und stellen diese nicht dar. Lesen Sie mehr in den Nutzungsbedingungen.
Haftungsausschluss
Die Informationen und Veröffentlichungen sind nicht als Finanz-, Anlage-, Handels- oder andere Arten von Ratschlägen oder Empfehlungen gedacht, die von TradingView bereitgestellt oder gebilligt werden, und stellen diese nicht dar. Lesen Sie mehr in den Nutzungsbedingungen.