Agent skill · Data & Analytics

technical-analyst

This skill should be used when analyzing weekly price charts for stocks, stock indices, cryptocurrencies, or forex pairs. Use this skill when the user provides chart images and requests technical analysis, trend identification, support/resistance levels, scenario planning, or probability assessments based purely on chart data without consideration of news or fundamental factors.

BaggaT236github.com/BaggaT236GitHub ↗
claude-codeMIT
Install
npx skills add BaggaT236/AI-Trading-Skills --skill technical-analyst --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 3
SKILL.md size: 10 KB
Bundled scripts: none
Path: skills/technical-analyst/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 118
Language: Python

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Technical Analyst ## Overview This skill enables comprehensive technical analysis of weekly price charts. Analyze chart images to identify trends, support and resistance levels, moving average relationships, volume patterns, and develop probabilistic scenarios for future price movement. All analysis is conducted objectively using only chart data, without influence from news, fundamentals, or market sentiment. ## When to Use - User provides weekly chart images (stocks, indices, crypto, forex) and requests technical analysis - Need to identify trend direction, strength, and potential reversal points - Looking for support/resistance levels and key price zones - Want probabilistic scenario planning with specific price targets - Require objective chart-based analysis without fundamental or news considerations ## Prerequisites - **Chart Images**: User must provide weekly timeframe chart images for analysis - **No API Keys Required**: This skill analyzes user-provided images; no external data fetches ## Output This skill generates markdown analysis reports saved to the `reports/` directory: - **File format**: `[SYMBOL]_technical_analysis_[YYYY-MM-DD].md` - **Content**: Comprehensive ana

What's inside
Steps it walks through
  1. Overview
  2. When to Use
  3. Prerequisites
  4. Output
  5. Core Principles
  6. Analysis Workflow
  7. Step 1: Receive Chart Images
  8. Step 2: Load Technical Analysis Framework
  9. Step 3: Analyze Each Chart Systematically
  10. Step 4: Develop Probabilistic Scenarios
  11. Step 5: Generate Analysis Report
  12. Step 6: Repeat for Multiple Charts
  13. Quality Standards
  14. Objectivity Requirements
Ships with 2 files
  • assets/analysis_template.md
  • references/technical_analysis_framework.md
More from AI-Trading-Skills
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About this skill
What does the technical-analyst skill do?

This skill should be used when analyzing weekly price charts for stocks, stock indices, cryptocurrencies, or forex pairs. Use this skill when the user provides chart images and requests technical analysis, trend identification, support/resistance levels, scenario planning, or probability assessments based purely on chart data without consideration of news or fundamental factors.

How do I install it?

Run `npx skills add BaggaT236/AI-Trading-Skills --skill technical-analyst --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From BaggaT236/AI-Trading-Skills, a repository with 118 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going