Time Series Data

Time series data is a sequence of data points collected at successive points in time, typically at regular intervals. Each point has a timestamp and one or more measured values - a daily stock closing price, an hourly property listing count, or a monthly average rental yield are all time series.

Time series data is the foundation of trend analysis, seasonality detection, forecasting, and anomaly detection. Charts showing price history, market trends, or performance over time are all visualizations of time series data.

In APIs, time series data is retrieved via a history endpoint (e.g., /price-history?productId=X&interval=daily&range=90days) that returns an array of time-stamped records. The depth of available history and granularity of intervals are key parameters when selecting an API for time series use cases.