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Meta (META) 10-Year Stock Market Analysis Data
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About
daily stock market data for Meta, spanning from 2014 to the end of 2023. It includes fundamental price information such as open, high, low, and close values, alongside daily trading volume. Crucially, the data is enriched with a variety of technical indicators, making it highly valuable for financial analysis, algorithmic trading strategy development, and predictive modelling of stock prices. It serves as a robust resource for anyone looking to analyse Meta's historical performance and market volatility.
Columns
- Date: The specific trading day for the recorded data.
- Open: The price of the stock at the beginning of 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 final price of the stock when the trading day concluded.
- Volume: The total number of shares traded during the day.
- RSI_7: The 7-day Relative Strength Index, a momentum indicator for evaluating overbought or oversold conditions.
- RSI_14: The 14-day Relative Strength Index, similar to RSI_7 but over a longer period.
- CCI_7: The 7-day Commodity Channel Index, which measures price deviation from its historical average for short-term trends.
- CCI_14: The 14-day Commodity Channel Index, used for identifying medium-term trends.
- SMA_50: The 50-day Simple Moving Average, representing the average closing price over the last 50 days.
- EMA_50: The 50-day Exponential Moving Average, similar to SMA_50 but gives more weight to recent prices.
- SMA_100: The 100-day Simple Moving Average, showing the average closing price over the past 100 days.
- EMA_100: The 100-day Exponential Moving Average, which is more responsive to recent price changes than the SMA_100.
- MACD: The Moving Average Convergence Divergence, an indicator showing the relationship between two moving averages.
- Bollinger: Bollinger Bands, which measure market volatility and price envelopes.
- TrueRange: A measure of a stock's volatility, considering the high, low, and previous day's close.
- ATR_7: The 7-day Average True Range, a key indicator for market volatility.
- ATR_14: The 14-day Average True Range, similar to ATR_7 but calculated over a longer period.
- Next_Day_Close: The closing price of the stock on the following trading day, serving as a target for predictive models.
Distribution
The data is provided in a single CSV file named
meta_2014_2023.csv with a size of 753.67 kB. It is structured in a tabular format containing 2,516 records and 20 columns. There are no missing or mismatched values.Usage
This data is ideal for building and backtesting predictive models aimed at forecasting stock prices. It can be used for time-series analysis to identify trends, seasonality, and patterns in Meta's stock performance. Financial analysts can use it to conduct in-depth technical analysis and develop trading strategies based on the included indicators. It is also suitable for academic research in finance and data analytics projects.
Coverage
The data covers Meta's stock performance over a ten-year period, from 2 January 2014 to 29 December 2023. The scope is specific to Meta's stock and does not include broader market or demographic data.
License
CC0: Public Domain
Who Can Use It
- Data Scientists and Machine Learning Engineers can use this data to build and train models for stock price prediction.
- Quantitative Analysts ('Quants') can perform statistical analysis and backtest automated trading algorithms.
- Financial Analysts and Traders can analyse historical performance and volatility to inform investment decisions.
- Students and Academics can use this data for research projects in finance, economics, and data science.
Dataset Name Suggestions
- Meta Stock Performance & Technical Indicators (2014-2023)
- Historical Daily Meta Stock Prices with Financial Indicators
- Meta (META) 10-Year Stock Market Analysis Data
- Technical Analysis Dataset for Meta Stock (10-Year Period)
- Daily Meta Stock Prices and Volatility Indicators (2014-2023)
Attributes
Original Data Source: Meta (META) 10-Year Stock Market Analysis Data
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