A professional-grade market analysis skill that combines classical Dow/Wyckoff theory with quantitative validation to identify high-probability trading edges.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install technical-analysis-pro
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install technical-analysis-pro using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Technical Analysis?
The Technical Analysis skill is designed for developers and traders who need more than just basic indicators. It functions as a Technical Analysis Grandmaster, drawing from over 20,000 hours of chart-time across forex, equities, and crypto. This Openclaw Skills component moves beyond retail-level patterns by emphasizing that price is the ultimate truth and that indicators are merely lagging derivatives. It leverages the methodologies of legendary traders like Richard Wyckoff and Steve Nison to provide a deep, psychologically-grounded view of market structure.
By prioritizing context over simple pattern recognition, this skill ensures that every signal—whether it is a Fibonacci retracement or a Volume Profile shift—is validated through multiple timeframe confluence and statistical reality. It is built for those who understand that support and resistance are probability zones rather than magic lines, providing a skeptical, quant-like approach to identifying market movements.
Technical Analysis Use Cases
- Identifying high-probability classical chart patterns like Head and Shoulders and Cup and Handle with volume confirmation.
- Conducting multi-timeframe analysis to align long-term trends with short-term entries.
- Applying the Wyckoff Method to identify institutional accumulation and distribution phases.
- Validating candlestick patterns using statistical edge and historical context.
- Utilizing Volume Profile and Market Structure to find hidden liquidity zones.
How Technical Analysis Works
- The skill first analyzes raw price action to establish the current market structure and identify the dominant trend.
- It consults the patterns reference system to find potential candlestick or classical formations that match the current data.
- A multi-timeframe check is performed to ensure the setup is not fighting a higher-level trend.
- The system validates the signal against volume data to confirm institutional participation.
- It cross-references the setup with historical failure points (sharp edges) and strict validation rules before providing a final analysis.
Technical Analysis Setup
To integrate the Technical Analysis skill into your environment, you must initialize the skill and ensure the required reference files are present in your project path.
# Install the technical analysis skill via Openclaw Skills manager
mcp install technical-analysis
# Ensure your references directory contains the required truth files
mkdir -p references
touch references/patterns.md references/sharp_edges.md references/validations.md
Technical Analysis Data Schema & Taxonomy
| Component | Data Description |
|---|---|
| patterns.md | Contains the specific logic for building and identifying chart formations. |
| sharp_edges.md | A catalog of historical risks, false signals, and reasons for pattern failure. |
| validations.md | The definitive list of constraints and rules that every technical signal must pass. |
| Market Metadata | Taxonomy for organizing RSI, MACD, Volume Profile, and Fibonacci levels. |
Technical Analysis Advanced Features
- Failed Pattern Signaling: Automatically identifies when a failed breakout presents a high-probability reversal opportunity.
- Quantitative Validation: Integrates statistical logic to ensure patterns have a proven edge before they are flagged.
- Multi-Asset Flexibility: Optimized for diverse markets including Forex, Equities, Commodities, and Crypto.
- Contextual Elliott Wave: Uses practical wave theory for market context without falling into dogmatic or over-complicated counting.
SKILL.md
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