Initial commit

LICENSE

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+BSD-3-Clause
+
+Copyright (c) 2025 Ilya Snegov (aka Sierra Arn)
+
+Redistribution and use in source and binary forms, with or without
+modification, are permitted provided that the following conditions are met:
+
+* Redistributions of source code must retain the above copyright notice, this
+  list of conditions and the following disclaimer.
+
+* Redistributions in binary form must reproduce the above copyright notice,
+  this list of conditions and the following disclaimer in the documentation
+  and/or other materials provided with the distribution.
+
+* Neither the name of the copyright holder nor the names of its
+  contributors may be used to endorse or promote products derived from
+  this software without specific prior written permission.
+
+THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
+AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
+IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
+DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
+FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
+DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
+SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
+CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
+OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
+OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.

README.md

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+---
+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).

financial_gbdt_regressor.json

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