Turn price history into structured technical signals.
technical analysis
Analyzes stocks with multiple technical-analysis frameworks and returns signals, structures, price levels, and interpretations.
When to use it
Use when the user requests candlestick, indicator, harmonic, Elliott Wave, Chan Theory, Smart Money, or Turtle Trading analysis.
Give it a stock symbol and a technical-analysis request; it fetches price history and returns the requested analysis.
What you provide
This skill
Longbridge market data
Fetches Longbridge market data
Web Search results
Searches market context on the web
a temporary K-line JSON file
Saves K-lines to a temp file
Uses the longbridge CLI to fetch K-line data; the Longbridge MCP server can substitute when the CLI is unavailable.
Python 3 is required for the documented Python analysis workflows and Elliott Wave signal engine.
The candlestick Python analysis imports pandas.
The smartmoneyconcepts package is required when using Smart Money Concepts analysis.