Seasonality Scanner

Name: Seasonality Scanner
Availability: InStock
Author: kayzaa

Analyze historical price data to identify recurring seasonal patterns in financial assets.

5|1|Updated Feb 9, 2026

Search Tags:#market analysis #historical data #seasonality #trading patterns #asset trends #commodity cycles

Ready to run

npx skills add https://github.com/kayzaa/k.i.t.-bot --skill seasonality-scanner

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: Seasonality Scanner
Source: https://github.com/kayzaa/k.i.t.-bot/tree/main/skills/seasonality-scanner
Command: npx skills add https://github.com/kayzaa/k.i.t.-bot --skill seasonality-scanner

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill helps traders identify recurring annual patterns in asset prices to time their trades more effectively.

Core Features & Use Cases

Multi-Year Data Comparison: Overlay data from 5, 10, or 20 years to spot consistent trends.
Pattern Detection: Identify strong seasonal uptrends, weak periods, and typical price ranges.
Calendar Event Integration: Analyze patterns related to earnings seasons, holidays, and economic events like FOMC.
Use Case: A user can ask the skill to find the best months to buy a specific stock based on historical data.

Quick Start

Analyze the monthly seasonality for Apple stock over the last 15 years.

Frequently Asked Questions about Seasonality Scanner

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

FAQPage Schema

How do I identify seasonal trading patterns in financial assets?▼

To identify seasonal trading patterns, this Skill analyzes historical price data using multi-year overlays to detect recurring monthly and weekly tendencies, showing strong and weak seasonal periods.

Can I use historical data to find the best months to buy a specific stock?▼

Yes, you can use historical data to find the best months to buy a specific stock by analyzing 5, 10, or 20 years of overlay data to spot consistent seasonal uptrends and typical price ranges.

How does seasonal market analysis handle earnings seasons and holidays?▼

Seasonal market analysis handles earnings seasons and holidays by integrating calendar events like FOMC into the pattern detection logic to generate more accurate trading signals around these recurring economic events.

What is the best way to analyze commodity cycles for recurring price trends?▼

The best way to analyze commodity cycles is by overlaying historical price data across multiple years to detect commodity-specific cycles, identifying seasonal ranges and recurring strong or weak periods.

Does multi-year data comparison work for detecting weekly market tendencies?▼

Yes, multi-year data comparison works for detecting weekly market tendencies by scoping the historical analysis to weekly intervals, identifying consistent seasonal patterns alongside broader monthly trends.