Chartclass

What This Skill Does

ChartClass, developed by collierking, serves as an advanced technical analysis engine integrated directly into your OpenClaw agent. It bridges the gap between raw market data and actionable trading insights by utilizing sophisticated pattern recognition algorithms. Instead of manually scanning hundreds of tickers or interpreting complex indicator readouts, ChartClass allows your agent to process OHLCV (Open, High, Low, Close, Volume) data automatically to identify classical chart formations, mathematical indicators, and supply/demand zones. By leveraging this skill, you enable your agent to act as a quantitative research assistant that operates across equities, options, and cryptocurrencies with high precision and speed.

Installation

To integrate ChartClass into your OpenClaw environment, execute the following command in your terminal or agent console:

clawhub install openclaw/skills/skills/collierking/chartclass

After installation, ensure you have obtained your API credentials from the provider and configure them in your environment variables. You must set the CHARTCLASS_API_KEY to authenticate data requests. Optionally, you can set CHARTCLASS_DEFAULT_TIMEFRAME (e.g., '1h', 'daily') to determine the starting view for your analysis requests.

Use Cases

• Automated Market Surveillance: Use the agent to scan large watchlists for specific setups like bullish flags or breakout formations without manual inspection.
• Trend Confirmation: Validate your own thesis by asking the agent to verify if price action aligns with momentum indicators like MACD or RSI.
• Risk Management: Quickly pull accurate support and resistance levels to define stop-loss and take-profit targets.
• Multi-Timeframe Synthesis: Gain a comprehensive outlook by asking the agent to reconcile daily trend directions with 4-hour or 15-minute chart confluence.

Example Prompts

1. "Analyze the current price action for BTCUSD on the 4-hour chart. Identify any forming patterns and list the immediate support and resistance levels."
2. "Scan my watchlist for any stocks showing a bullish cup-and-handle pattern that are currently trading above their 200-day moving average."
3. "Show me the RSI divergences for NVDA on the daily timeframe and tell me if the current trend is showing signs of exhaustion."

Tips & Limitations

• Data Quality: Ensure your market data source is reliable, as the accuracy of pattern recognition depends heavily on the quality and continuity of the price feed.
• Not Financial Advice: While ChartClass provides powerful technical signals, these should be used as inputs for your decision-making process, not as automated financial advice. Always verify major breakouts or reversals with fundamental context.
• Timeframe Context: Pattern reliability varies across timeframes; patterns found on the 1m chart are often significantly less predictive than those on daily or weekly charts. Adjust your default timeframe based on your specific trading strategy (scalping vs. swing trading).