fin-guru-research

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Chinese

Research Workflow Skill

调研工作流Skill

Execute structured market research with source validation and temporal awareness.
执行带有来源验证和时间感知的结构化市场调研。

Workflow Steps

工作流步骤

  1. Scope Definition — Clarify research objectives, timeframe, and deliverable format
  2. Data Collection — Gather intelligence from multiple sources with temporal qualifiers
  3. Source Validation — Flag market data older than same-day, economic data older than 30 days
  4. Analysis — Apply analytical frameworks to collected data
  5. Synthesis — Produce research summary with confidence levels and data gaps
  6. Handoff — Package findings for downstream analysis (quant, strategy)
  1. 范围定义 — 明确调研目标、时间范围和交付成果格式
  2. 数据收集 — 从多个来源收集带有时间限定的情报
  3. 来源验证 — 标记早于当日的市场数据、早于30天的经济数据
  4. 分析 — 对收集到的数据应用分析框架
  5. 整合 — 生成包含置信度和数据缺口的调研摘要
  6. 移交 — 将调研成果打包,供下游分析(量化、策略)使用

Tools Integration

工具集成

  • screener_cli.py
    — Multi-pattern technical screening (8 patterns)
  • moving_averages_cli.py
    — Trend identification (SMA/EMA/WMA/HMA)
  • momentum_cli.py
    — Confluence analysis (RSI, MACD, Stochastic, Williams %R, ROC)
  • volatility_cli.py
    — Regime analysis and opportunity assessment
  • data_validator_cli.py
    — Data integrity verification (100% quality required)
  • itc_risk_cli.py
    — Market-implied risk scores for supported tickers
  • screener_cli.py
    — 多模式技术筛选(8种模式)
  • moving_averages_cli.py
    — 趋势识别(SMA/EMA/WMA/HMA)
  • momentum_cli.py
    — 汇合分析(RSI、MACD、Stochastic、Williams %R、ROC)
  • volatility_cli.py
    — 市场状态分析与机会评估
  • data_validator_cli.py
    — 数据完整性验证(要求100%质量)
  • itc_risk_cli.py
    — 支持标的的市场隐含风险评分

Requirements

要求

  • ALL web searches MUST include temporal qualifiers using current date context
  • Separate verified data from assumptions with confidence levels
  • Cite all sources with START/END tags and precise timestamps
  • Flag data gaps relevant to downstream analysis
  • 所有网络搜索必须结合当前日期上下文添加时间限定词
  • 用置信度区分已验证数据与假设内容
  • 使用START/END标签和精确时间戳标注所有来源
  • 标记与下游分析相关的数据缺口