Financial ML Lab - XGBoost GBDT Model
This model is a component of the 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.
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