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Historical Netflix Stock Prices for Machine Learning
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About
Offers an in-depth analysis of Netflix's stock performance over the last decade, from 2014 to 2023. This collection of data incorporates numerous technical indicators to examine its price fluctuations and is designed to help in forecasting the closing price for the following day, making it a crucial tool for predicting future movements of Netflix's stock. It includes vital daily statistics such as opening, high, low, and closing prices, alongside trading volume.
Columns
- date: The transaction date for the stock record.
- Open: The price at which Netflix stock first traded upon the opening of an exchange on a trading day.
- High: The highest price at which Netflix stock traded during the trading day.
- Low: The lowest price at which Netflix stock traded during the trading day.
- Close: The final price at which Netflix stock trades during a trading day.
- Volume: The total number of Netflix shares traded during a trading day.
- RSI_7 / RSI_14: The Relative Strength Index, a momentum oscillator measuring the speed and change of price movements over 7-day and 14-day periods.
- CCI_7 / CCI_14: The Commodity Channel Index, a versatile indicator used to identify new trends or warn of extreme conditions over 7-day and 14-day periods.
- SMA_50 / SMA_100: The Simple Moving Average, calculated by averaging the stock price over 50-day and 100-day periods.
- EMA_50 / EMA_100: The Exponential Moving Average, which gives more weight to recent prices, calculated over 50-day and 100-day periods.
- MACD: The Moving Average Convergence Divergence, a trend-following momentum indicator showing the relationship between two moving averages of the stock’s price.
- Bollinger Bands (Bollinger): A set of lines plotted two standard deviations away from a simple moving average to assess price volatility.
- True Range: The greatest of the current high minus the current low, the absolute value of the current high minus the previous close, or the absolute value of the current low minus the previous close.
- ATR_7 / ATR_14: The Average True Range, a measure of market volatility over 7-day and 14-day periods.
- Next Day Close: The closing price of the stock for the following trading day, intended for use as a target variable for regression predictions.
Distribution
The data is provided in a single CSV file named
nflx_2014_2023.csv, with a size of approximately 751.28 kB. It contains 2516 rows (records) and 20 columns, with no missing or mismatched data reported. The dataset is updated annually.Usage
This dataset is ideal for a variety of financial analysis tasks. Its primary purpose is to forecast the next day's closing price for Netflix stock. It can be used for developing and backtesting trading strategies, performing technical analysis of stock price movements, and building predictive models using machine learning and artificial intelligence techniques to understand market volatility and trends.
Coverage
The dataset provides daily stock market data for Netflix (NFLX). The temporal coverage spans a decade, from 2nd January 2014 to 29th December 2023. Geographically, the data pertains to the stock as traded on its primary exchange.
License
CC0: Public Domain
Who Can Use It
- Data Scientists and AI Professionals: Can use this data to build and train regression models for stock price prediction.
- Financial Analysts and Investors: Suitable for conducting technical analysis, identifying market trends, and assessing stock volatility.
- Students and Researchers: An excellent resource for academic projects in finance, economics, and data science, particularly for those at beginner to advanced levels.
- Quantitative Analysts ('Quants'): Can leverage the technical indicators to develop and test algorithmic trading strategies.
Dataset Name Suggestions
- Netflix (NFLX) Stock Price History & Technical Indicators 2014-2023
- Decade of Netflix Stock Data with Financial Indicators
- Netflix Daily Stock Performance and Volatility Analysis
- Predictive Analytics Dataset for Netflix Stock (NFLX)
- Historical Netflix Stock Prices for Machine Learning
Attributes
Original Data Source: Historical Netflix Stock Prices for Machine Learning
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