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Seasonality Analyzer

Identify and quantify recurring seasonal patterns in asset performance across multiple years.

125|865|Updated Jun 5, 2026
Search Tags:#market-analysis#sector-rotation#seasonality#multi-year#seasonal-patterns#crypto-cycles
One-click install
npx skills add https://github.com/Signal-Execution-Labs/forex-trading-ai-agent --skill seasonality-analyzer-signal-execution-labs
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: Seasonality Analyzer
Source: https://github.com/Signal-Execution-Labs/forex-trading-ai-agent/tree/main/src/skills/seasonality
Command: npx skills add https://github.com/Signal-Execution-Labs/forex-trading-ai-agent --skill seasonality-analyzer-signal-execution-labs

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Track and quantify recurring seasonal patterns across multiple years to forecast asset performance and inform trading decisions.

Core Features & Use Cases

  • Monthly and weekly seasonality analysis across assets and years
  • Multi-year overlays and sector rotation signals
  • Crypto-specific seasonal patterns and holiday effects
  • Custom date ranges and backtesting support for research

Quick Start

Run the seasonality analyzer on a chosen symbol with a lookback period to reveal monthly and weekly seasonal signals.

Frequently Asked Questions about Seasonality Analyzer

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I analyze recurring seasonal patterns in asset performance across multiple years?▼

Seasonal pattern analysis requires multi-year historical data and configurable lookback parameters to compute monthly and weekly averages, year-over-year overlays, and sector rotation signals. Custom pattern definitions refine the recurring cycle quantification.

What is the best way to identify crypto cycles and holiday effects for trading?▼

Identifying crypto cycles applies seasonality analysis across custom date ranges and holiday windows over multiple years. This isolates recurring crypto-specific seasonal patterns to support backtesting and forecasting.

Can I use multi-year overlays for sector rotation analysis and backtesting?▼

Multi-year overlays support sector rotation analysis by applying the seasonality analyzer across multiple assets. This enables year-over-year comparisons and custom date range backtesting for research.

Do I need a minimum number of years of historical data to calculate seasonal trends?▼

Calculating reliable seasonal trends requires multi-year historical data. You must configure a minimum years threshold and lookback period to ensure sufficient data depth for quantifying recurring annual patterns.

Does the seasonality analyzer work on weekly and monthly windows simultaneously?▼

The seasonality analyzer works across monthly, weekly, and holiday windows simultaneously to quantify recurring patterns. This multi-timeframe approach provides comprehensive year-over-year performance averages and signals.

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