https://github.com/nafisalawalidris/bitcoin-price-analysis-before-the-2024-halving

Analysing Bitcoin's price movements pre-2024 halving using Python, data analysis and machine learning to forecast future trends in cryptocurrency markets.
https://github.com/nafisalawalidris/bitcoin-price-analysis-before-the-2024-halving

analysis bitcoin bitcoin-price cryptocurrency data-science machinelearning prediction python

Last synced: about 2 months ago
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Analysing Bitcoin's price movements pre-2024 halving using Python, data analysis and machine learning to forecast future trends in cryptocurrency markets.

• Host: GitHub
• URL: https://github.com/nafisalawalidris/bitcoin-price-analysis-before-the-2024-halving
• Owner: nafisalawalidris
• Created: 2024-03-27T18:13:39.000Z (10 months ago)
• Default Branch: main
• Last Pushed: 2024-09-13T00:38:27.000Z (4 months ago)
• Last Synced: 2024-09-13T12:58:22.727Z (4 months ago)
• Topics: analysis, bitcoin, bitcoin-price, cryptocurrency, data-science, machinelearning, prediction, python
• Language: Jupyter Notebook
• Homepage:
• Size: 560 KB
• Stars: 4
• Watchers: 1
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Bitcoin Price Analysis Before the 2024 Halving

![Bitcoin](https://img.shields.io/badge/Bitcoin-Price%20Analysis-blue)

This project analyses Bitcoin's price movements leading up to the anticipated 2024 halving event. It encompasses various steps, including data collection, preprocessing, exploratory data analysis (EDA), model selection, training, evaluation, predictive analysis, fine-tuning, monitoring and updating.

If you find this project useful, kindly consider giving it a star ⭐ on GitHub. Contributions are also welcome!

![BTC over time high to low](https://github.com/nafisalawalidris/Bitcoin-Price-Analysis-Before-the-2024-Halving/blob/main/BTC%20over%20time%20high%20to%20low.png)

## Table of Contents

- [Introduction](#introduction)

- [Key Steps](#key-steps)

- [Contributing](#contributing)

- [License](#license)

- [Contact](#contact)

## Introduction

This project focuses on analysing Bitcoin's price trends and movements as we approach the 2024 halving event. By leveraging historical data and advanced modeling techniques, we aim to provide insights into potential price behaviors and market trends.

## Key Steps

1. [Data Collection](#data-collection): Gathering historical Bitcoin price data and relevant market indicators.

2. [Data Preprocessing](#data-preprocessing): Cleaning and preparing the data for analysis.

3. [Exploratory Data Analysis (EDA)](#exploratory-data-analysis-eda): Visualising and understanding the data patterns and trends.

4. [Model Selection](#model-selection): Choosing appropriate models for analysis based on the data characteristics.

5. [Model Training](#model-training): Training selected models on the preprocessed data.

6. [Model Evaluation](#model-evaluation): Assessing the performance of models using various metrics.

7. [Predictive Analysis](#predictive-analysis): Making predictions based on the trained models.

8. [Fine-Tuning](#fine-tuning): Adjusting model parameters to improve accuracy and performance.

9. [Monitoring and Updating](#monitoring-and-updating): Continuously monitoring model performance and updating as needed.

## Contributing

Contributions are welcome! Feel free to open an issue or submit a pull request.

## License

This project is licensed under the [MIT License](LICENSE).

## Contact

For any inquiries or suggestions, please contact [Nafisa Lawal Idris](https://github.com/nafisalawalidris).