This dataset provides a comprehensive look at Tesla's stock performance over the past ten years, incorporating a variety of technical indicators to analyze its movements. The data includes the date of recording and several key metrics: the opening price, the highest and lowest prices during the trading day, the closing price, and the trading volume. Additionally, it features momentum indicators like the 7-day and 14-day Relative Strength Index (RSI), which help assess whether the stock is overbought or oversold. The Commodity Channel Index (CCI) over 7 and 14 days is included to identify short- and medium-term trends by comparing the current price against the historical average. Moving averages are also a significant part of this dataset, with the 50-day and 100-day Simple Moving Average (SMA) and Exponential Moving Average (EMA) providing insights into the stock's direction. Other critical indicators include the Moving Average Convergence Divergence (MACD), Bollinger Bands for price volatility, the True Range, and the 7-day and 14-day Average True Range (ATR), offering a measure of market volatility. The dataset aims to predict the next day's closing price, serving as a valuable resource for forecasting future stock movements.