ChartClass for Openclaw

An AI-powered technical analysis engine for automated chart pattern recognition and market indicator assessment across stocks, options, and crypto.

collierking
v0.0.2
Feb 22, 2026
0
1.2k
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install chartclass

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install chartclass 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 ChartClass?

ChartClass is a sophisticated technical analysis skill designed to empower traders and developers with automated market insights. By leveraging advanced algorithms, it scans financial data to identify complex chart formations like head-and-shoulders, double bottoms, or bullish flags while calculating standard indicators such as RSI, MACD, and Bollinger Bands. Integrating this into your Openclaw Skills workflow allows for real-time trend detection and multi-timeframe confluence analysis.

Whether you are analyzing equities, options, or crypto, ChartClass simplifies the process of finding support and resistance levels. It transforms raw price action into actionable technical intelligence, helping users make data-driven decisions in volatile markets. This skill acts as a bridge between raw market data and high-level trading strategy execution.

ChartClass Use Cases

  • Identifying classic chart patterns like cups, wedges, and flags across multiple tickers.
  • Automating the detection of key support and resistance levels for risk management.
  • Screening for stocks with specific technical criteria, such as RSI divergence or moving average crossovers.
  • Conducting multi-timeframe analysis to confirm trend strength and reversal signals.
  • Monitoring crypto markets for specific price action formations and volume profiles.

How ChartClass Works

  1. Initialize the skill with a valid API key to access high-fidelity OHLCV market data.
  2. Submit a query to the agent specifying the asset ticker, timeframe, and specific analysis requirements.
  3. The engine retrieves historical price data and applies mathematical models to identify geometric patterns and formations.
  4. Technical indicators and trend metrics are calculated and overlaid on the price action results to determine momentum.
  5. The skill returns a structured analysis containing detected patterns, key price levels, and indicator values for strategic decision-making.

ChartClass Setup

To begin using ChartClass, you must configure your environment with the necessary credentials. Set the required environment variables to enable market data access within your Openclaw Skills environment.

export CHARTCLASS_API_KEY="your_api_key_here"
# Optional: Set a default timeframe (1m, 5m, 15m, 1h, 4h, daily, weekly)
export CHARTCLASS_DEFAULT_TIMEFRAME="daily"

ChartClass Data Schema & Taxonomy

The skill organizes market data and technical results into a structured format for easy consumption by agents and developers:

Component Description
OHLCV Data Historical price points including open, high, low, close, and volume.
Pattern Objects Identified formations with confidence scores and potential entry/exit zones.
Indicators Numerical arrays for RSI, MACD, Bollinger Bands, and various Moving Averages.
Support/Resistance A collection of price levels identified as key historical reaction zones.
Trend Meta Classification of trend direction (bullish/bearish) and current strength.

ChartClass Advanced Features

  • Multi-timeframe confluence detection for higher probability setup identification across intraday and daily charts.
  • Custom volume profile analysis to understand liquidity distribution at various price levels.
  • Automated pattern scanning across large watchlists based on specific technical filters and MA conditions.
  • Seamless integration with multi-agent workflows for combined technical and fundamental analysis.
  • Real-time indicator divergence alerts for oscillators like RSI and MACD.

SKILL.md


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