This dataset offers a detailed examination of Bitcoin's price behavior over the last eight years, featuring a range of technical indicators for analyzing its trends. It captures the daily opening, highest, lowest, and closing prices, along with trading volume. The dataset includes momentum indicators such as the 7-day and 14-day Relative Strength Index (RSI) to determine if the asset is overbought or oversold. It also contains the 7-day and 14-day Commodity Channel Index (CCI), which compares the current price to the historical average to spot short- and medium-term trends. Additionally, it encompasses moving averages like the 50-day and 100-day Simple Moving Average (SMA) and Exponential Moving Average (EMA), which shed light on the asset's trend direction. Other essential indicators in the dataset are the Moving Average Convergence Divergence (MACD), Bollinger Bands for assessing price volatility, the True Range, and the 7-day and 14-day Average True Range (ATR) that provide insights into market volatility. This dataset's primary goal is to forecast the closing price for the next day, making it a crucial tool for predicting future market movements.