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Time-Series Seasonality Detector
Identify seasonal patterns, cyclical trends, and anomalies in time-series data to inform forecasting.
Updated June 2026
The prompt
Analyze this time-series data: {{data_points}}. The metric is {{metric_name}}, measured {{frequency}}. Identify: (1) primary seasonal cycle (if any), (2) trend direction and strength, (3) anomalies with magnitude, (4) confidence level for each pattern. Suggest {{forecast_horizon}} forecast adjustments.
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Details
Author
AI Khazna
License
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Security
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Type
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