Trendlines help visualize the overall direction and pattern of a dataset. This example demonstrates adding a trendline to the S&P 500 index data to highlight long-term market growth using the ChartTrendlines and ChartTrendline components.

Choose from multiple regression types to best fit your data pattern. The Type property determines which mathematical model is applied to calculate the trend line.

A linear trendline is a straight, best‑fit line that shows a constant rate of increase or decrease. This example demonstrates adding a linear trendline by setting the Type property to TrendlineTypes.Linear to S&P 500 index data to visualize the overall market direction.

An exponential trendline is best suited for datasets that grow at an accelerating rate. This example demonstrates an exponential trendline by setting the Type property to TrendlineTypes.Exponential applied to global internet users data to highlight long-term adoption growth patterns.

A logarithmic trendline is used when data increases rapidly at the beginning and then gradually slows down. This example demonstrates a logarithmic trendline by setting the Type property to TrendlineTypes.Logarithmic applied to global mobile subscription growth data.

A polynomial trendline fits a curved line through the data points based on a polynomial equation. This example demonstrates a third‑order polynomial trendline by setting the Type property to TrendlineTypes.Polynomial and defining the PolynomialOrder property applied to global life expectancy data to reveal long‑term nonlinear trends.

A power trendline models data that follows a power-law relationship, where the rate of change is proportional to the magnitude of the values. This example demonstrates a power trendline by setting the Type property to TrendlineTypes.Power applied to the historical decline in solar panel costs.

A moving average trendline smooths out short-term fluctuations in data by averaging values over a specified period. This example demonstrates a 3-month moving average by setting the Type property to TrendlineTypes.MovingAverage and specifying the Period property applied to Bitcoin price data to better visualize overall market trends.

Data labels for trendlines allow you to display predicted or calculated values directly on the trendline. This example demonstrates enabling data labels using the ChartDataLabel component inside ChartTrendlineMarker for an exponential trendline used to visualize the rapid growth of global electric vehicle sales.

Trendline customization options allow you to control visual aspects such as line width, dash patterns, colors, and intercept values. This example demonstrates a customized linear trendline using properties like DashArray, Width, Fill, and Intercept applied to global forest area data to emphasize long-term deforestation trends.