| name | stock_shrink_pullback_analysis |
| description | Use this standalone stock strategy skill for 缩量回踩 (shrink_pullback) analysis. Accept one or more A-share stock codes, Chinese stock names, US stock tickers, or Hong Kong stock codes, collect market/news data, and produce a Codex-readable Markdown report focused on the 缩量回踩 strategy. Source strategy: ~/daily_stock_analysis/strategies/shrink_pullback.yaml. |
缩量回踩 Stock Analysis Skill
This skill is a strategy-specific variant of stock_ai_analysis. It uses the same bundled analyzer structure. User config, generated prompts, reports, and final reports for this strategy live under:
~/.stock_analysis/shrink_pullback/
Downloaded market-data caches are shared across strategies under ~/.stock_analysis/cache/ so users do not need to fetch the same data repeatedly.
Strategy Source
- Source file:
~/daily_stock_analysis/strategies/shrink_pullback.yaml
- Strategy id:
shrink_pullback
- Display name: 缩量回踩
- Category: trend
- Aliases: 缩量回踩, 回踩
- Required source tools: get_daily_history, analyze_trend, get_realtime_quote
- Summary: 检测缩量回踩均线支撑信号,趋势延续的理想入场点。
Workflow
- Work only inside this skill directory. Do not import, inspect, or depend on files outside it during normal analysis.
- The script creates and reads user config at
~/.stock_analysis/shrink_pullback/.env. Always run config check first:
python scripts/analyze.py --check-config
- First-run hard rule: if
--check-config shows CONFIG_CREATED: yes, explicitly tell the user initialization config is required before any analysis. Do not run --stocks in the same turn.
- Incomplete-config hard rule: if required capability keys are missing for the user request, stop and ask the user to complete configuration using
references/configuration.md before running analysis. Never run partial/incomplete analysis.
- Ask for stock codes, names, or tickers if not supplied. Accept
600487, 北方华创, AAPL, 00700.HK, or mixed input like 北方华创,600487,AAPL,00700.HK.
- Only after configuration is complete, run analysis:
python scripts/analyze.py --stocks <codes>
Use --no-llm for data-only smoke runs.
Use --send-email only after the user confirms email delivery.
Use --no-email for validation runs when EMAIL_ENABLED=true.
- Open the latest prompt files under
~/.stock_analysis/shrink_pullback/prompts/, use the current Codex agent to generate the final analysis, and write that analysis to a Markdown file under ~/.stock_analysis/shrink_pullback/final_reports/.
- The final analysis must apply the strategy rules below. Do not return a generic stock report when this skill is invoked.
- Send email only from a finalized current-agent report:
python scripts/analyze.py --send-final-report ~/.stock_analysis/shrink_pullback/final_reports/<report>.md
If a generated base report exists, merge the final analysis back into the original report before sending:
python scripts/analyze.py --send-final-report ~/.stock_analysis/shrink_pullback/final_reports/<report>.md --base-report ~/.stock_analysis/shrink_pullback/reports/<base_report>.md
Strategy Rules
缩量回踩(Shrink Volume Pullback Strategy)
入场判定标准:
-
前提条件(关联理念2:趋势交易):
- 股票必须处于上升趋势(MA5 > MA10 > MA20)。
- 使用
analyze_trend 确认多头排列。
-
回踩检测(关联理念4:买点偏好):
- 使用
get_daily_history 和 get_realtime_quote。
- 价格回踩至 MA5 附近(误差 1% 以内)或 MA10 附近(误差 2% 以内)。
- 回调期间成交量 < 5 日均量的 70%(缩量特征)。
analyze_trend → volume_status 应显示缩量。
-
反弹信号(关联理念1:严进策略):
- 当前价格守住均线支撑位。
- MA5 乖离率 < 2% — 最佳买入区间。
-
确认条件(关联理念5:风险排查):
search_stock_news 无利空消息。
- 筹码分布健康(获利比例 50-80%)。
评分调整:
- 缩量回踩 MA5:sentiment_score +10
- 缩量回踩 MA10 且量能 < 0.6 倍均量:sentiment_score +8
- 理想买点设在 MA5 水平,次优买点设在 MA10。
- 止损设在 MA20 水平。
- 在
buy_reason 中注明"缩量回踩"。
Guardrails
- Never print real API keys, passwords, webhook URLs, or tokens.
- Ask before overwriting an existing
~/.stock_analysis/shrink_pullback/.env value.
- Ask before sending email. Do not enable
EMAIL_ENABLED=true unless the user explicitly wants automatic delivery.
- Do not block the user on optional keys. Offer a skip path and explain the consequence.
- Required-capability keys are not optional. If missing, stop and ask for config instead of running degraded analysis.
- First run always requires an explicit initialization prompt to the user before analysis.
- Never run partial or incomplete functionality; this is mandatory.
- Explain failures by impact: blocking, fallback succeeded, or data-quality degradation.
- Do not call local Hermes or other local agent CLIs from this skill. The current Codex agent is responsible for reading generated prompt files and writing the final analysis.
- Reports and emails must contain the strategy analysis result, not raw prompt context.
Bundled Resources
scripts/analyze.py: deterministic entry point.
scripts/stock_agent/: self-contained helper functions for config, data, search, LLM, and report rendering.
scripts/stock_agent/data.py: strategy-local data extraction code that reuses the shared ~/.stock_analysis/cache/ directory to avoid duplicate downloads across strategies.
assets/env.example: template copied to ~/.stock_analysis/shrink_pullback/.env on first run.
requirements.txt: Python dependency list.
references/configuration.md: API-key setup details for this strategy folder.
references/reporting.md: report and interface-status interpretation.