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TSLA Daily Stock Performance Data
Stock & Market Data
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About
This dataset offers a detailed record of Tesla's share price performance from its listing up to April 2022. It includes daily stock price attributes such as the opening bid, highest and lowest prices of the day, closing price, adjusted closing price, and the volume of trade. This data is invaluable for understanding historical stock trends, assessing the impact of global events like the COVID-19 pandemic on market behaviour, and identifying specific daily price movements and significant bullish trends over a twelve-year period.
Columns
- Date: The specific date when the market was open.
- Open: The price at which Tesla stock opened for trading on a given day.
- High: The highest price reached by the stock during the trading day.
- Low: The lowest price of the stock observed throughout the trading day.
- Close: The price of the stock when the market closed for the day.
- Adj Close: The adjusted closing price, which considers various factors such as dividends and stock splits.
- Volume: The total number of shares traded during the day.
Distribution
The dataset is provided in a CSV format and has a file size of approximately 206.76 KB. It contains 2967 individual records, each representing a trading day. The data spans from 29th June 2010 to 8th April 2022.
Usage
This dataset is ideal for:
- Analysing the daily percent change in Tesla's stock price.
- Investigating the impact of the COVID-19 pandemic on stock performance, particularly from March 2020 onwards.
- Identifying specific days of the week where the stock frequently shows an uptrend or downtrend.
- Examining periods of dramatic bullish trends and exploring potential reasons behind these surges.
Coverage
The dataset covers the time period from 29th June 2010 to 8th April 2022, offering insights into Tesla's stock performance over roughly twelve years. While not explicitly stated, the data pertains to global financial market activity related to Tesla stock.
License
CC0: Public Domain
Who Can Use It
- Financial Analysts: To conduct historical performance analysis and identify key market trends.
- Data Scientists: For developing and testing predictive models for stock prices.
- Investors: To make more informed decisions based on past market behaviour.
- Researchers: To study market dynamics, event impact, and investment strategies.
Dataset Name Suggestions
- Tesla Historical Stock Prices (2010-2022)
- TSLA Daily Stock Performance Data
- Tesla Share Price History
- Electric Vehicle Stock Trends - Tesla
Attributes
Original Data Source: TSLA Daily Stock Performance Data
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