stock-bull-trend-analysis

---

name: stock_bull_trend_analysis description: Use this standalone stock strategy skill for 默认多头趋势 (bull_trend) 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 默认多头趋势 strategy. Source strategy: ~/daily_stock_analysis/strategies/bull_trend.yaml.

默认多头趋势 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/bull_trend/

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/bull_trend.yaml
• Strategy id: bull_trend
• Display name: 默认多头趋势
• Category: trend
• Aliases: 趋势, 趋势分析, 多头趋势
• Required source tools: get_daily_history, analyze_trend
• Summary: 默认个股分析优先策略，识别多头排列、趋势延续与回踩低吸机会。

Workflow

1. Work only inside this skill directory. Do not import, inspect, or depend on files outside it during normal analysis.
2. The script creates and reads user config at ~/.stock_analysis/bull_trend/.env. Always run config check first:

python scripts/analyze.py --check-config

3. 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.
4. 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.
5. 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.
6. 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.

7. Open the latest prompt files under ~/.stock_analysis/bull_trend/prompts/, use the current Codex agent to generate the final analysis, and write that analysis to a Markdown file under ~/.stock_analysis/bull_trend/final_reports/.
8. The final analysis must apply the strategy rules below. Do not return a generic stock report when this skill is invoked.
9. Send email only from a finalized current-agent report:

python scripts/analyze.py --send-final-report ~/.stock_analysis/bull_trend/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/bull_trend/final_reports/<report>.md --base-report ~/.stock_analysis/bull_trend/reports/<base_report>.md

Strategy Rules

默认多头趋势（Default Bull Trend Strategy）

适用场景：

• 常规个股分析的默认策略。
• 优先寻找“趋势向上 + 风险可控 + 不追高”的机会。

分析框架：

1. 趋势确认（优先级最高）

   • 使用 analyze_trend 判断 MA5/MA10/MA20 排列。
   • MA5 >= MA10 >= MA20 且 MA20 斜率向上，视为多头结构。
   • 若价格显著跌破 MA20，则降低看多权重。

2. 位置与节奏

   • 优先“回踩不破”而非“高位追涨”。
   • 当价格距离 MA5/MA10 过远时，提示等待回踩。
   • 放量突破有效阻力时可提高胜率评级。

3. 量价验证

   • 使用 get_daily_history 检查突破日/反弹日是否放量。
   • 缩量上涨需谨慎，放量滞涨需警惕分歧。

4. 交易建议输出

   • 输出明确的“买入/观望/减仓”倾向及触发条件。
   • 必须给出止损参考（如 MA20 下方或结构低点）。
   • 若无清晰优势，明确写“暂不出手”，避免过度交易。

评分调整建议：

• 多头排列 + 趋势强度良好：sentiment_score +12
• 回踩关键均线后企稳：sentiment_score +8
• 放量突破关键阻力：sentiment_score +10
• 跌破 MA20 或趋势转弱：sentiment_score -12

Guardrails

• Never print real API keys, passwords, webhook URLs, or tokens.
• Ask before overwriting an existing ~/.stock_analysis/bull_trend/.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/bull_trend/.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.