PINE LIBRARY

NodialTreesLows2: ML Random Forest / Pivot Lows (Part 2 of 2)

Title: `Library: ML Random Forest / Pivot Lows (Part 2 of 2)`

Description:
This library contains the second half (Trees 6-11) of the Random Forest Classifier designed to validate Pivot Lows (Long setups).

It is a direct extension of NodialTreesL1 and cannot be used alone. Due to Pine Script's compilation limits on complexity and file size, the 12-tree ensemble model has been split into two separate libraries.

### 🧩 Library Contents
This module exports the following methods representing the specific decision paths of the trained AI model:
- `tree_6(array<float> f)`
- `tree_7(array<float> f)`
- `tree_8(array<float> f)`
- `tree_9(array<float> f)`
- `tree_10(array<float> f)`
- `tree_11(array<float> f)`

### ⚠️ Implementation Guide
To use this library, you must combine it with Part 1.
Please refer to the NodialTreesLows1 library description for:
1. The full Integration Code Example (how to average the votes).
2. The exact Input Feature List (the 27 required metrics).
3. Detailed explanation of the Machine Learning logic.

How to finish the integration:
Import this library alongside Part 1 and add the results of `tree_6` through `tree_11` to your voting sum, as shown in the Part 1 documentation.

Perpustakaan Pine

Dalam semangat TradingView sebenar, penulis telah menerbitkan kod Pine ini sebagai perpustakaan sumber terbuka supaya pengaturcara Pine lain dari komuniti kami boleh menggunakannya semula. Sorakan kepada penulis! Anda boleh menggunakan perpustakaan ini secara peribadi atau dalam penerbitan sumber terbuka lain, tetapi penggunaan semula kod ini dalam penerbitan adalah dikawal selia oleh Peraturan Dalaman.

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Penafian

Maklumat dan penerbitan adalah tidak bertujuan, dan tidak membentuk, nasihat atau cadangan kewangan, pelaburan, dagangan atau jenis lain yang diberikan atau disahkan oleh TradingView. Baca lebih dalam Terma Penggunaan.

Perpustakaan Pine

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