OMSF_Education_Lib

To keep the codebase of the OMSF Learning Space indicator cleanly structured, easy to read, and as concise as possible, I have extracted core calculations and logic functions into this reusable library. This keeps the main script lightweight while allowing you to flexibly utilize these individual building blocks for your own custom scripts and quantitative experiments.

Extracted Functions & Modules

1. pivot_fun – Pivot Analytics & Trend State

Derivatives of the classic Pivot High/Low concept to identify key structural highs and lows using configurable confirmation lookback windows.
Provides continuously updated persistent pivot levels, running extreme levels, and a clean trend state machine (1 = Long, -1 = Short) along with standard pivot lag metrics (avg_std_delay).

2. dir_kaufman_eff_ratio – Directional Kaufman Efficiency Ratio (KER)

Computes directional trend efficiency ranging from -1.0 (strong downward efficiency) to +1.0 (strong upward efficiency), featuring built-in protection against division by zero.

3. ker_marketstructure_validation – KER Market Structure Validation

Accumulates and averages KER metrics separately for Long and Short market regimes to evaluate overall structural trend quality.

4. max_excurs_ratio – MFE / MAE Analytics

Tracks ATR-normalized Maximum Favorable Excursion (MFE) and Maximum Adverse Excursion (MAE) values for individual trend segments.
Computes running aggregate ratios and stores historical trade metrics in float[] arrays—ideal for statistical distribution and percentile analysis.

5. vis_mfe_mae_ratio_long & vis_mfe_mae_ratio_short – Visualization Components

Renders dynamic chart overlays featuring break-even levels, stop-loss excursion bounds, color fills, and informational labels displaying real-time or locked segment performance.

📌 Coming next:
OMSF Learning Space Update: Chapter 5 MFE/MAE. (tradingview.com/script/KYJoMqb1-OMSF-Learning-Space/)

Best regards, arni

Libreria Pine

Nello spirito di TradingView, l'autore ha pubblicato questo codice Pine come libreria open source affinché altri programmatori della nostra community possano riutilizzarlo. Complimenti all'autore! È possibile utilizzare questa libreria privatamente o in altre pubblicazioni open source, ma il riutilizzo di questo codice nelle pubblicazioni è soggetto al Regolamento.

arnipoer

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Libreria Pine

arnipoer