$BTC
Bitcoin Price Prediction and Research – Thesis (Part 1)
Introduction:
Bitcoin, the first and most dominant cryptocurrency, has drastically influenced global finance since its inception in 2009.
Its decentralized nature, limited supply, and widespread adoption have made it both a speculative asset and a store of value.
Price volatility in Bitcoin attracts researchers, investors, and economists seeking to understand and predict its behavior.
Accurate price prediction of BTC is critical for investors, traders, and policymakers alike.
This thesis explores how historical trends, market sentiment, and technical models contribute to forecasting Bitcoin prices.
We review previous prediction models, from statistical methods to AI-based approaches like LSTM and Prophet.
Our goal is to identify which models provide reliable forecasts under different market conditions.
Data will be gathered from trusted sources such as CoinMarketCap, Binance, and Yahoo Finance.
We will also assess the impact of major events like halvings, regulations, and institutional adoption.
This research aims to bridge the gap between theoretical models and real-world trading outcomes.
next part may be tomorrow