Last200

Last200 is a term used to describe the most recent 200 data points in a time series or sequence. This can refer to various contexts, such as stock market data, sensor readings, or user activity logs. The concept is useful for analyzing recent trends, identifying short-term patterns, or making predictions based on the immediate past.

In data analysis, focusing on the last 200 points allows for a more granular view of recent behavior without being overwhelmed by older, potentially less relevant data. This is particularly important in fast-changing environments where historical data from months or years ago might not accurately reflect current conditions. For example, a financial analyst might examine the last 200 trading days of a stock to understand its recent volatility and momentum.

The specific nature of what constitutes a "data point" in the last 200 will vary. It could be a daily closing price, an hourly temperature reading, or a single user interaction. The choice of 200 is often arbitrary but aims to strike a balance between capturing enough recent history to identify meaningful patterns and keeping the dataset manageable. Different applications might use different window sizes, such as the last 50 or last 1000 points, depending on the required granularity and the nature of the data.