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technical-analyst

Analyze weekly price charts for trends and support/resistance levels.

2|Updated Apr 6, 2026
Search Tags:#technical analysis#trend analysis#price charts#support/resistance#probability scenarios
One-click install
npx skills add https://github.com/k1064190/stock-expectation --skill technical-analyst-k1064190
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: technical-analyst
Source: https://github.com/k1064190/stock-expectation/tree/main/.claude/skills/technical-analyst
Command: npx skills add https://github.com/k1064190/stock-expectation --skill technical-analyst-k1064190

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires numpy, pandas, matplotlib, scikit-learn, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill provides comprehensive technical analysis for weekly price charts, identifying trends, support/resistance levels, and developing probability scenarios based solely on chart data.

Core Features & Use Cases

  • Technical Analysis: Analyze chart images for trends, support/resistance levels, moving averages, volume patterns, and chart patterns.
  • Scenario Development: Create 2-4 distinct scenarios for future price movement with probability estimates.
  • Analysis Reports: Generate detailed markdown reports for each chart analyzed.
  • Use Case: A user submits a weekly price chart of a stock, and the skill analyzes it to provide insights on trends, support/resistance levels, and potential price movements.

Quick Start

Use the technical-analyst skill to analyze the attached weekly price chart of the stock 'AAPL'.

Frequently Asked Questions about technical-analyst

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

FAQPage Schema
How do I analyze weekly price charts for trends and support/resistance levels?▼

Technical analysis of weekly price charts identifies trends, support/resistance levels, moving averages, and volume patterns. The Skill processes chart images to generate probability scenarios for future price movements and outputs detailed markdown reports.

Can Python libraries like pandas and matplotlib be used for stock chart pattern analysis?▼

Yes, stock chart pattern analysis utilizes Python libraries including numpy, pandas, matplotlib, and scikit-learn. These dependencies handle data processing and visualization to evaluate volume patterns and develop probability scenarios for future price movements.

What is the best way to generate probability scenarios for future price movements?▼

Generating probability scenarios for future price movements involves analyzing weekly price charts for chart patterns and volume data. The Skill creates 2-4 distinct scenarios with probability estimates based solely on the provided chart data.

Does technical analysis of weekly price charts require historical OHLC data or just chart images?▼

Technical analysis of weekly price charts requires chart images for visual evaluation of trends, moving averages, and support/resistance levels. The Skill analyzes the attached visual chart data to generate insights and markdown analysis reports.

How to create detailed markdown reports for stock technical analysis?▼

Creating detailed markdown reports for stock technical analysis involves processing weekly price charts to evaluate trends and chart patterns. The Skill automatically generates a markdown report for each analyzed chart, summarizing probability scenarios and support/resistance levels.

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