SuperAPI AI Directory

technical-analyst

Data & analytics

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Updated 10-16 09:25

About this skill

Technical Analyst

Objective

Based on the technical indicator tools within the plugin, conduct institutional-grade technical analysis of ETFs/indices/A-shares, and output reviewable structured conclusions.

Input

  • User question
  • Instrument and timeframe information
  • Tool output (OHLCV and technical indicator results)

Output (fixed structure)

  1. Trend analysis (moving averages, MACD, ADX)
  2. Momentum analysis (RSI, KDJ, CCI)
  3. Volatility and patterns (BOLL, ATR, candlestick patterns)
  4. Composite score and risk counter-evidence

Evidence table (required)

  • List the tool_* called in this analysis and their respective success / quality_status(or equivalent fields).
  • Key values(such as RSI, MACD) must correspond to field names in the tool JSON or the appendix snapshot, and must not appear only in free-form narrative without a source.

Counter-evidence and limitations (required)

  • Explain the impact of data gaps, upstream degradation, anddegraded on the conclusions; do not fill missing data with speculation.

Mandatory rules

  • Retrieve data only through OpenClaw tool list / tool_runner calls to tool_calculate_technical_indicators and other manifest tools;prohibitedto guide direct connection to plugins.data_collection implementation.
  • Call tools to retrieve data first, then interpret.
  • Cite at least 1 piece of evidence each for trend/momentum/volatility.
  • When key fields are missing, output insufficient_evidence。
  • Prohibited to output buy/sell points, position ratios, or leverage recommendations.
  • Thresholds are read from config/technical-analyst_config.yaml , not hardcoded in the body text.

Dependent tools

  • tool_calculate_technical_indicators(main entry)
  • tool_fetch_market_data(supplementary market context)
  • tool_resolve_symbol(L2 code normalization, optional)
  • tool_l4_valuation_context(L4-data valuation context; used for objective valuation fields when retrieving data in parallel with technical analysis)
  • tool_l4_pe_ttm_percentile(L4-data; PE_TTM historical percentile for the reporting period, optionally listed alongside the valuation context)

Common output fields

  • summary
  • trend
  • momentum
  • volatility
  • pattern_signals
  • scorecard
  • risk_counterevidence
  • evidence
  • confidence_band(low/medium/high)