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Nikola Corporation Stock Fraud Analysis
Stock & Market Data
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About
Stock market data tracking the performance of Nikola Corporation (NKLA) during a critical period marked by significant allegations of corporate misconduct. This historical financial record provides daily trading activity, which is essential for analyzing the sharp volatility and market reaction that followed reports the electric truck manufacturer misled investors regarding its business prospects and technical capabilities. The controversy culminated in the company agreeing to pay a substantial settlement to the Securities and Exchange Commission (SEC) over charges of defrauding investors.
Columns
The dataset contains seven columns detailing daily market performance:
- Date: The date of the trading activity.
- Open: The stock's opening price for the trading 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.
- Adj Close: The adjusted closing price, accounting for corporate actions.
- Volume: The total volume of shares traded during the day.
Distribution
The data is structured in a tabular format (CSV file, approximately 66.66 kB in size) and includes 7 distinct columns. It comprises 1005 valid daily stock records, with no identified missing or mismatched values across the key financial columns.
Usage
This data is perfectly suited for time-series analysis, particularly for examining highly volatile stocks and instances of market disruption or manipulation. Ideal applications include historical back-testing of trading strategies, financial modeling based on scandal-driven volatility, and training machine learning models such as Recurrent Neural Networks (RNNs). It serves as an excellent resource for educational case studies in financial ethics and computer science.
Coverage
The time frame covers trading activity spanning from 11 June 2018 through to 6 June 2022. The data is focused specifically on the stock performance of Nikola Corporation (NKLA).
License
CC0: Public Domain
Who Can Use It
Intended users include data scientists and machine learning experts seeking high-volatility financial data for model training. Financial analysts who study the effects of corporate scandal and regulatory actions on stock prices will find this useful. It is also suitable for students and beginners in finance or computer science requiring clean, ready-to-use historical market data.
Dataset Name Suggestions
- Nikola Corporation Stock Fraud Analysis
- NKLA Stock Historical Prices and Scandal Impact
- Volatility Analysis of Nikola Stock (2018-2022)
Attributes
Original Data Source: Nikola Corporation Stock Fraud Analysis
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