About This Project
BitcoinMachineLearning.com is an independent research project exploring Bitcoin's price behavior through mathematical modeling and data analysis. This site was created to visualize and share insights from power law analysis and halving cycle research.
The project combines data analysis, visualization, and AI-assisted development to make complex Bitcoin analytics accessible. All code and analysis is developed with the assistance of Claude (Anthropic's AI assistant), focusing on transparent methodology and reproducible results.
Data Sources
Historical Bitcoin price data may be sourced from publicly available datasets and APIs, including CoinGecko, Yahoo Finance (yfinance), and Federal Reserve (FRED) for M2 money supply data. Data may be outdated, incomplete, or inaccurate.
The power law model parameters shown are derived from historical logarithmic regression analysis. Past statistical relationships do not guarantee future performance or accuracy.
Methodology
The analysis applies power law modeling to historical Bitcoin price data using logarithmic regression. Visualizations are built with Chart.js and may contain errors or outdated information.
This is an experimental research project. No claims are made about the validity, accuracy, or reliability of any models, predictions, or analysis presented.
Legal Disclaimer
NOT FINANCIAL ADVICE: Nothing on this website constitutes financial, investment, legal, or tax advice. All content is for educational and informational purposes only.
NO WARRANTIES: All data, models, visualizations, and analysis are provided "AS IS" without warranty of any kind, express or implied. We make no representations about the accuracy, completeness, timeliness, or reliability of any information on this site.
NO LIABILITY: The creator(s) of this website shall not be liable for any losses, damages, or claims arising from the use of this website or reliance on any information presented herein. You assume all risk and responsibility for any decisions made based on information from this site.
DATA ACCURACY: Price data, models, and statistics may be outdated, incorrect, or incomplete. Do not rely on any information presented here for financial decisions.
PAST PERFORMANCE: Historical data and model performance do not predict or guarantee future results. Cryptocurrency markets are highly volatile and unpredictable.
DO YOUR OWN RESEARCH: Always conduct your own research and consult with qualified financial professionals before making investment decisions.