---
tags:
  - xgboost
  - gbdt
  - gradient-boosting
  - bitcoin
  - btcusdt
  - price-prediction
  - time-series
  - financial-forecasting
  - machine-learning
  - finml
datasets:
  - sierra-arn/finml-lab-data
task_categories:
  - time-series-forecasting
  - regression
license: bsd-3-clause
language:
  - en
---

# **Financial ML Lab - XGBoost GBDT Model**

This model is a component of the [finml-lab](https://github.com/Sierra-Arn/finml-lab) project, featuring a trained Gradient Boosting on Decision Tree (GBDT) model using XGBoost for BTCUSDT price prediction based on technical indicators and market features.

## **Model Overview**

- **Algorithm**: XGBoost Gradient Boosting Decision Tree (GBDT).
- **Target**: BTCUSDT price prediction on 1-hour timeframe.
- **Features**: Technical indicators generated with ta-lib, time-based features, and engineered market data.
- **Training Data**: Processed BTCUSDT 1-hour candlestick data from finml-lab dataset.
- **Optimization**: Hyperparameter tuning performed with Optuna.

## **License**

This model is licensed under the [BSD-3-Clause License](LICENSE).