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TSLA Stock Price Analysis Dataset
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About
Offers a detailed look at Tesla's stock performance over the past decade, from 2014 to 2023. This dataset integrates various technical indicators to facilitate analysis of its market movements. It includes fundamental metrics like daily open, high, low, and closing prices, alongside trading volume. Additionally, it features key momentum and trend indicators such as the Relative Strength Index (RSI), Commodity Channel Index (CCI), Simple and Exponential Moving Averages (SMA/EMA), Moving Average Convergence Divergence (MACD), and Bollinger Bands. Volatility measures like the Average True Range (ATR) are also included. The primary goal is to provide a rich resource for forecasting future stock movements, specifically predicting the next day's closing price.
Columns
- date: The transaction date for the stock data.
- open: The opening price of the stock for the day.
- high: The highest price the stock reached during the trading day.
- low: The lowest price the stock reached during the trading day.
- close: The closing price of the stock for the day.
- volume: The total number of shares traded during the day.
- rsi_7: The 7-day Relative Strength Index, a momentum indicator.
- rsi_14: The 14-day Relative Strength Index.
- cci_7: The 7-day Commodity Channel Index, used to identify trends.
- cci_14: The 14-day Commodity Channel Index.
- sma_50: The 50-day Simple Moving Average.
- ema_50: The 50-day Exponential Moving Average.
- sma_100: The 100-day Simple Moving Average.
- ema_100: The 100-day Exponential Moving Average.
- macd: The Moving Average Convergence Divergence indicator.
- bollinger: The Bollinger Bands, which measure price volatility.
- TrueRange: The True Range, a measure of market volatility.
- atr_7: The 7-day Average True Range.
- atr_14: The 14-day Average True Range.
- next_day_close: The closing price of the stock on the following day, used for forecasting.
Distribution
- Format: The data is provided in a single CSV file named
tsla_2014_2023.csv. - Size: The file size is approximately 751.92 kB.
- Structure: The dataset is tabular and contains 2516 records and 20 columns.
Usage
- Developing and back-testing stock price prediction models.
- Conducting technical analysis of Tesla's historical stock performance.
- Analysing market volatility and momentum trends over a ten-year period.
- Educational purposes for learning about financial markets and technical indicators.
- Creating data visualisations to illustrate stock price movements and indicator signals.
Coverage
- Geographic: This dataset pertains to Tesla (TSLA) stock, which is traded on the NASDAQ stock exchange in the United States.
- Time Range: The data covers a ten-year period from 2 January 2014 to 29 December 2023.
- Demographic: Not applicable as this is financial market data.
License
CC0: Public Domain
Who Can Use It
- Data Scientists & Machine Learning Engineers: Can use this dataset to build and train predictive models for stock forecasting.
- Financial Analysts & Quantitative Traders: Ideal for performing in-depth technical analysis and developing trading strategies.
- Academic Researchers & Students: A valuable resource for research projects and studies related to financial econometrics and market behaviour.
- Hobbyist Investors: Useful for learning about technical indicators and analysing historical performance before making investment decisions.
Dataset Name Suggestions
- Tesla (TSLA) Stock Performance with Technical Indicators (2014-2023)
- Ten-Year Tesla Stock Price & Indicators for Forecasting
- Historical Tesla Stock Data with Volatility & Momentum Indicators
- TSLA Stock Price Analysis Dataset (10-Year Span)
Attributes
Original Data Source: TSLA Stock Price Analysis Dataset
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