skills/technical-analyst/SKILL.md
This skill should be used when analyzing weekly price charts for stocks, stock indices, cryptocurrencies, or forex pairs. Use this skill when the user provides chart images and requests technical analysis, trend identification, support/resistance levels, scenario planning, or probability assessments based purely on chart data without consideration of news or fundamental factors.
npx skillsauth add kavi-lin/stock technical-analystInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Weekly-chart-driven technical analysis → probabilistic scenarios + structured report. Pure chart analysis, no news/fundamental input. See README.md for example usage scenarios and pedagogy.
Confirm receipt, count charts, note any user-requested focus areas. Process sequentially.
Read references/technical_analysis_framework.md — covers trend classification, S/R identification, MA interpretation, volume analysis, chart patterns, scenario probability framework, objectivity discipline.
Each scenario must include:
Typical framework:
Adjust probabilities by strength of supporting factors. Probabilities must sum to 100%.
Read assets/analysis_template.md and populate all sections:
File naming: [SYMBOL]_technical_analysis_[YYYY-MM-DD].md (e.g. SPY_technical_analysis_2025-11-02.md)
Complete full workflow + save report per chart before moving to next. Do not batch. Notify user when all charts done.
Objectivity:
Completeness:
Clarity:
| File | When | Contains |
|---|---|---|
| references/technical_analysis_framework.md | Always, before analysis | Full methodology (trend / S/R / MA / volume / patterns / scenario framework / objectivity discipline) |
| assets/analysis_template.md | Every report | Full report structure with required sections |
development
# earnings-analyst — 個股財報深度分析 > **Trigger**: `財報 [TICKER]` > **Version**: V1.0 > **Data Source**: FMP HTTP REST(`$FMP_API_KEY`) ## 目的 針對單一個股產出**深度財報分析報告**(逐季趨勢、品質指標、估值、分析師共識),涵蓋 sector V1.4 與 `分析 [TICKER]` 既有 protocol **沒有**的「財報層級」深潛內容。 ## 與既有 skill 的差異 | Skill | 重點 | 觸發 | |---|---|---| | `us-stock-analysis` | 估值/技術/情緒 snapshot(yfinance + FMP partial) | Phase 2 fundamentals lane | | `earnings-valuation-forecaster` | 12M 目標價 3×3 敏感度 | ad-hoc / earnings 前 14 天 | | `earnings-trade-analyzer` |
testing
Daily Top N hot themes × Top M short-term movers per theme. Combines theme-detector heat scoring (medium-term) with short-term-target predictions (1d/5d/15d) into a "Tactical Opportunity Radar" recommendation log. Tags concentration WARNING when ≥2 picks share theme. Records FRED + market regime snapshot at recommendation time for future backtest cross-tabs. Standalone — not auto-wired into investment_protocol. Use for daily watchlist refresh / Dashboard推薦面板feed / batch screening across hot themes.
testing
Short-term (1d / 5d / 15d) directional projection for a US stock — "Tactical Opportunity Radar". Outputs target range + confidence breakdown + benchmark-relative alpha + trading meta (stop / position size hint / exit trigger). Each horizon uses independent weights from config/weights.yaml. Refuses to project when source data is stale (returns insufficient_data with reasons). Hard-clamped to prevent cold-start absurd predictions. Use when caller wants short-term directional bias on a specific ticker, NOT for long-term valuation (use earnings-valuation-forecaster for 12-month). Standalone — not auto-wired into investment_protocol.
tools
Shared Finnhub API client used by other skills. Provides rate-limited (60/min), cached, retry-aware access to 17 Finnhub endpoints covering quotes, OHLCV, fundamentals, earnings calendar, earnings surprises, insider transactions, recommendation history, price targets, upgrades/downgrades, dividends, splits, IPOs, and SEC filings. Also exports adapters that normalize Finnhub raw responses into FMP-compatible shapes so that downstream code can swap providers without changing call sites. Use when another skill needs Finnhub data or when building a unified provider layer.