Time Series

Trend Analysis

Identify and analyze patterns, trends, and seasonality in time series data

420K runs

Note: This playground provides simulated output to showcase functionality. No input data is processed or stored on our servers. Use this demo to explore the feature extractor's capabilities before integrating it into your application.

Input

Text Input string

Enter the text you want to process

# trend_types array

Types of trends to analyze. Default: linear,seasonal,exponential

# seasonality_period number

Expected period of seasonality. Default: 7

Output

{
  "trends": [
    {
      "type": "linear",
      "slope": 0.45,
      "intercept": 12.3,
      "r_squared": 0.89,
      "direction": "increasing"
    },
    {
      "type": "seasonal",
      "period": 7,
      "amplitude": 5.2,
      "phase": 2.1
    }
  ],
  "seasonality": {
    "detected": true,
    "periods": [
      7,
      30
    ],
    "strength": 0.78
  },
  "stationarity": {
    "is_stationary": false,
    "differencing_order": 1
  }
}