Dataset overview
This dataset provides us with a wealth of information about Apple’s stock (traded under AAPL) over the past decade, starting from the year 2010. This data is incredibly valuable because it can help us develop forecasting algorithms to predict the future price of Apple’s stock, which is crucial for making investment decisions. The data in this set has been collected and aggregated from 25 different stock exchanges.
To effectively use this data for forecasting, we need to understand the key elements: the features that influence our target, which is predicting stock prices.
The dataset includes five important values that indicate how the stock price changes over a specific period of time, which is typically one day, but it could also be one week or one month. These values are:
- Open: This is the stock price at the beginning of the trading day.
- Close: This is the stock price at the end of the trading day.
- High: This value...
