Algorithm to detect down-up-down pattern in time series

1. What is the best way algorithm to detect a pattern in a time series?
2. How do you find the pattern of a time series data?
3. How do you identify data patterns?
4. What are the patterns in time series?

What is the best way algorithm to detect a pattern in a time series?

Many methods that recognize patterns in time series do so by first transforming the time series to a more common type of data. Then a classical machine learning algorithm is used to detect and classify the pattern. Visual pattern recognition achieves this by first transforming the data into a picture.

How do you find the pattern of a time series data?

Identifying patterns in time series data

This can be done using Time Series Decomposition. A systematic pattern in time series data can have a Trend or a Seasonality. The trend in Time Series data can be linear or non-linear that changes over time and does not repeat itself within the known time range.

How do you identify data patterns?

Patterns in data are commonly described in terms of center, spread, shape, and unusual features. Some common distributions have special descriptive labels, such as symmetric, bell-shaped, skewed, etc. This is useful in exploratory data analysis. Probability is used to anticipate the patterns in data.

What are the patterns in time series?

There are three types of time series patterns: trend, seasonal, and cyclic. A trend pattern exists when there is a long-term increase or decrease in the series. The trend can be linear, exponential, or different one and can change direction during time.