{"id":"2453b32d-ce04-4443-9adb-380283b0551b","entityType":"agent","slug":"clawhub-zhubohan190601-crypto-finbot-stock","name":"短线手术刀 (ScalpelTrade)","canonicalUrl":"https://www.xpersona.co/agent/clawhub-zhubohan190601-crypto-finbot-stock","canonicalPath":"/agent/clawhub-zhubohan190601-crypto-finbot-stock","generatedAt":"2026-10-11T16:03:00.322Z","source":"CLAWHUB","claimStatus":"UNCLAIMED","verificationTier":"NONE","summary":{"evidence":{"source":"editorial-content","verified":true,"confidence":"high","updatedAt":"2026-10-11T13:06:48.970Z","emptyReason":null},"description":"A股短线量化分析工具 — 实时行情、9因子选股、多空辩论+风控审查、推荐追踪闭环。数据源：新浪财经+东方财富（免费行情）。 Skill: 短线手术刀 (ScalpelTrade) Owner: zhubohan190601-crypto Summary: A股短线量化分析工具 — 实时行情、9因子选股、多空辩论+风控审查、推荐追踪闭环。数据源：新浪财经+东方财富（免费行情）。 Tags: a-shares:2.2.0, china-stocks:2.2.0, debate-analysis:2.0.0, finance:2.2.0, latest:2.2.0, market-data:2.2.0, multi-agent:2.2.0, stock-screening:2.2.0 Version history: v2.2.0 | 2026-06-11T14:10:26.985Z | user v2.2统一发版: 更名+9因子+风控审查+分歧转一致+推荐追踪闭环+东方财富资金流数据源+多日趋势分析+假跌破检测 v2.1.4 | 2026-06-11T1","descriptionLabel":"Technical summary","evidenceSummary":"Capability contract not published. No trust telemetry is available yet. 1.1K downloads reported by the source. Last updated 10/11/2026.","installCommand":"clawhub skill install s17fkaq9am9e7y71qpazk0seh987w6es:finbot-stock","sourceUrl":"https://clawhub.ai/zhubohan190601-crypto/finbot-stock","homepage":"https://clawhub.ai/zhubohan190601-crypto/skills/finbot-stock","primaryLinks":[{"label":"View on ClawHub","url":"https://clawhub.ai/zhubohan190601-crypto/finbot-stock","kind":"source"},{"label":"Homepage","url":"https://clawhub.ai/zhubohan190601-crypto/skills/finbot-stock","kind":"homepage"}],"safetyScore":84,"overallRank":62,"popularityScore":61,"trustScore":null,"claimedByName":null,"isOwner":false,"seoDescription":"A股短线量化分析工具 — 实时行情、9因子选股、多空辩论+风控审查、推荐追踪闭环。数据源：新浪财经+东方财富（免费行情）。 Skill: 短线手术刀 (ScalpelTrade) Owner: zhubohan190601-crypto Summary: A股短线量化分析工具 — 实时行情、9因子选股、多空辩论+风控审"},"coverage":{"evidence":{"source":"public-profile","verified":false,"confidence":"medium","updatedAt":"2026-10-11T13:06:48.970Z","emptyReason":null},"protocols":[{"protocol":"OPENCLEW","label":"OpenClaw","status":"self-declared","notes":"Declared in the public agent profile."}],"capabilities":[],"verifiedCount":0,"selfDeclaredCount":1,"capabilityMatrix":{"rows":[{"key":"OPENCLEW","type":"protocol","support":"unknown","confidenceSource":"profile","notes":"Listed on profile"}],"flattenedTokens":"protocol:OPENCLEW|unknown|profile"}},"adoption":{"evidence":{"source":"CLAWHUB","verified":false,"confidence":"medium","updatedAt":"2026-10-11T13:06:48.970Z","emptyReason":null},"stars":null,"forks":null,"downloads":1060,"packageName":null,"latestVersion":"2.2.0","tractionLabel":"1.1K downloads"},"release":{"evidence":{"source":"CLAWHUB","verified":false,"confidence":"medium","updatedAt":"2026-10-11T13:06:48.958Z","emptyReason":null},"lastUpdatedAt":"2026-10-11T13:06:48.970Z","lastCrawledAt":"2026-10-11T13:06:48.958Z","lastIndexedAt":null,"nextCrawlAt":"2026-10-12T13:06:48.958Z","lastVerifiedAt":null,"highlights":[{"version":"2.2.0","createdAt":"2026-06-11T14:10:26.985Z","changelog":"v2.2统一发版: 更名+9因子+风控审查+分歧转一致+推荐追踪闭环+东方财富资金流数据源+多日趋势分析+假跌破检测","fileCount":7,"zipByteSize":26624},{"version":"2.1.4","createdAt":"2026-06-11T14:08:20.234Z","changelog":"修正数据源描述: 新增东方财富资金流接口(换手率/量比/市值/板块资金排行)","fileCount":7,"zipByteSize":25357},{"version":"2.1.3","createdAt":"2026-06-11T14:03:37.937Z","changelog":"数据源扩展: 新增东方财富资金流接口(eastmoney_kline/eastmoney_sector_flow)，支持换手率/量比/市值/板块资金排行；analyzer新增板块资金流采集","fileCount":7,"zipByteSize":25170},{"version":"2.1.2","createdAt":"2026-06-11T13:40:33.581Z","changelog":"改名为「短线手术刀 (ScalpelTrade)」; 新增9因子+风控审查+分歧转一致检测+推荐追踪闭环","fileCount":7,"zipByteSize":24265},{"version":"2.1.1","createdAt":"2026-06-11T13:35:37.683Z","changelog":"改名为「金探A股」; 新增9因子+风控审查+分歧转一致检测+推荐追踪闭环","fileCount":7,"zipByteSize":23988},{"version":"2.1.0","createdAt":"2026-06-11T13:32:23.880Z","changelog":"v2.1: 新增RSI/MACD/KDJ/布林/ICU均线/鳄鱼线/ADX/OBV共9因子; 新增分歧转一致检测+风控审查; 新增推荐追踪引擎(tracker.py)实现推荐闭环; 新增多日趋势分析+假跌破检测","fileCount":7,"zipByteSize":24868},{"version":"2.0.0","createdAt":"2026-06-10T16:06:00.988Z","changelog":"v2.0全面升级：三层架构(执行/分析/决策)+多空辩论引擎debater.py+市场状态检测(牛市/熊市/震荡)+加权评分制初筛+推荐回溯+验证记录+技术指标计算(MA20/MA60/量比/偏离率)","fileCount":7,"zipByteSize":13613},{"version":"1.0.0","createdAt":"2026-06-02T16:09:20.320Z","changelog":"首发：实时行情+收盘简报+板块扫描+选股筛选","fileCount":5,"zipByteSize":7672}]},"execution":{"evidence":{"source":"CLAWHUB","verified":false,"confidence":"low","updatedAt":null,"emptyReason":"No published capability contract is available yet."},"installCommand":"clawhub skill install s17fkaq9am9e7y71qpazk0seh987w6es:finbot-stock","setupComplexity":"low","setupSteps":["Setup complexity is classified as HIGH. You must provision dedicated cloud infrastructure or an isolated VM. Do not run this directly on your local workstation.","Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data."],"contract":{"contractStatus":"missing","authModes":[],"requires":[],"forbidden":[],"supportsMcp":false,"supportsA2a":false,"supportsStreaming":false,"inputSchemaRef":null,"outputSchemaRef":null,"dataRegion":null,"contractUpdatedAt":null,"sourceUpdatedAt":null,"freshnessSeconds":null},"invocationGuide":{"preferredApi":{"snapshotUrl":"https://www.xpersona.co/api/v1/agents/clawhub-zhubohan190601-crypto-finbot-stock/snapshot","contractUrl":"https://www.xpersona.co/api/v1/agents/clawhub-zhubohan190601-crypto-finbot-stock/contract","trustUrl":"https://www.xpersona.co/api/v1/agents/clawhub-zhubohan190601-crypto-finbot-stock/trust"},"curlExamples":["curl -s \"https://www.xpersona.co/api/v1/agents/clawhub-zhubohan190601-crypto-finbot-stock/snapshot\"","curl -s \"https://www.xpersona.co/api/v1/agents/clawhub-zhubohan190601-crypto-finbot-stock/contract\"","curl -s \"https://www.xpersona.co/api/v1/agents/clawhub-zhubohan190601-crypto-finbot-stock/trust\""],"jsonRequestTemplate":{"query":"summarize this repo","constraints":{"maxLatencyMs":2000,"protocolPreference":["OPENCLEW"]}},"jsonResponseTemplate":{"ok":true,"result":{"summary":"...","confidence":0.9},"meta":{"source":"CLAWHUB","generatedAt":"2026-10-11T16:03:00.321Z"}},"retryPolicy":{"maxAttempts":3,"backoffMs":[500,1500,3500],"retryableConditions":["HTTP_429","HTTP_503","NETWORK_TIMEOUT"]}},"endpoints":{"dossierUrl":"https://www.xpersona.co/api/v1/agents/clawhub-zhubohan190601-crypto-finbot-stock/dossier","snapshotUrl":"https://www.xpersona.co/api/v1/agents/clawhub-zhubohan190601-crypto-finbot-stock/snapshot","contractUrl":"https://www.xpersona.co/api/v1/agents/clawhub-zhubohan190601-crypto-finbot-stock/contract","trustUrl":"https://www.xpersona.co/api/v1/agents/clawhub-zhubohan190601-crypto-finbot-stock/trust"}},"reliability":{"evidence":{"source":"runtime-metrics","verified":false,"confidence":"low","updatedAt":null,"emptyReason":"No trust, reliability, or runtime telemetry is available."},"trust":{"status":"unavailable","handshakeStatus":"UNKNOWN","verificationFreshnessHours":null,"reputationScore":null,"p95LatencyMs":null,"successRate30d":null,"fallbackRate":null,"attempts30d":null,"trustUpdatedAt":null,"trustConfidence":"unknown","sourceUpdatedAt":null,"freshnessSeconds":null},"decisionGuardrails":{"doNotUseIf":["Contract metadata is missing or unavailable for deterministic execution."],"safeUseWhen":[],"riskFlags":["missing_or_unavailable_contract","trust_data_unavailable","schema_references_missing"],"operationalConfidence":"low"},"executionMetrics":{"observedLatencyMsP50":null,"observedLatencyMsP95":null,"estimatedCostUsd":null,"uptime30d":null,"rateLimitRpm":null,"rateLimitBurst":null,"lastVerifiedAt":null,"verificationSource":null},"runtimeMetrics":{"successRate":null,"avgLatencyMs":null,"avgCostUsd":null,"hallucinationRate":null,"retryRate":null,"disputeRate":null,"p50Latency":null,"p95Latency":null,"lastUpdated":null}},"benchmarks":{"evidence":{"source":"no-benchmark-data","verified":false,"confidence":"low","updatedAt":null,"emptyReason":"No benchmark suites or observed failure patterns are available."},"suites":[],"failurePatterns":[]},"artifacts":{"evidence":{"source":"CLAWHUB","verified":false,"confidence":"high","updatedAt":"2026-10-11T13:06:48.970Z","emptyReason":null},"readme":"Skill: 短线手术刀 (ScalpelTrade)\n\nOwner: zhubohan190601-crypto\n\nSummary: A股短线量化分析工具 — 实时行情、9因子选股、多空辩论+风控审查、推荐追踪闭环。数据源：新浪财经+东方财富（免费行情）。\n\nTags: a-shares:2.2.0, china-stocks:2.2.0, debate-analysis:2.0.0, finance:2.2.0, latest:2.2.0, market-data:2.2.0, multi-agent:2.2.0, stock-screening:2.2.0\n\nVersion history:\n\nv2.2.0 | 2026-06-11T14:10:26.985Z | user\n\nv2.2统一发版: 更名+9因子+风控审查+分歧转一致+推荐追踪闭环+东方财富资金流数据源+多日趋势分析+假跌破检测\n\nv2.1.4 | 2026-06-11T14:08:20.234Z | user\n\n修正数据源描述: 新增东方财富资金流接口(换手率/量比/市值/板块资金排行)\n\nv2.1.3 | 2026-06-11T14:03:37.937Z | user\n\n数据源扩展: 新增东方财富资金流接口(eastmoney_kline/eastmoney_sector_flow)，支持换手率/量比/市值/板块资金排行；analyzer新增板块资金流采集\n\nv2.1.2 | 2026-06-11T13:40:33.581Z | user\n\n改名为「短线手术刀 (ScalpelTrade)」; 新增9因子+风控审查+分歧转一致检测+推荐追踪闭环\n\nv2.1.1 | 2026-06-11T13:35:37.683Z | user\n\n改名为「金探A股」; 新增9因子+风控审查+分歧转一致检测+推荐追踪闭环\n\nv2.1.0 | 2026-06-11T13:32:23.880Z | user\n\nv2.1: 新增RSI/MACD/KDJ/布林/ICU均线/鳄鱼线/ADX/OBV共9因子; 新增分歧转一致检测+风控审查; 新增推荐追踪引擎(tracker.py)实现推荐闭环; 新增多日趋势分析+假跌破检测\n\nv2.0.0 | 2026-06-10T16:06:00.988Z | user\n\nv2.0全面升级：三层架构(执行/分析/决策)+多空辩论引擎debater.py+市场状态检测(牛市/熊市/震荡)+加权评分制初筛+推荐回溯+验证记录+技术指标计算(MA20/MA60/量比/偏离率)\n\nv1.0.0 | 2026-06-02T16:09:20.320Z | user\n\n首发：实时行情+收盘简报+板块扫描+选股筛选\n\nArchive index:\n\nArchive v2.2.0: 7 files, 26624 bytes\n\nFiles: scripts/analyzer.py (20121b), scripts/debater.py (15162b), scripts/fetcher.py (17336b), scripts/tracker.py (16078b), skill-card.md (2721b), SKILL.md (6207b), _meta.json (131b)\n\nFile v2.2.0:SKILL.md\n\n---\nname: 短线手术刀 (ScalpelTrade)\ndescription: \"A股短线量化分析工具 — 实时行情、9因子选股、多空辩论+风控审查、推荐追踪闭环。数据源：新浪财经+东方财富（免费行情）。\"\ntags:\n  - finance\n  - china-stocks\n  - a-shares\n  - market-data\n  - stock-screening\n  - multi-agent\n  - debate-analysis\nversion: 2.2.0\n---\n\n# 短线手术刀 (ScalpelTrade) v2.2 — A股短线多因子量化分析工具\n\n专为A股短线交易设计的多Agent量化分析框架。四层架构（采集→分析→辩论→追踪），提供从数据采集到推荐闭环的全链路支持。\n\n## 架构\n\n```\n         ┌──────────────────────────────────────────┐\nLayer 4  │  追踪层: tracker.py                      │\n         │  推荐记录 → 每日检查 → 报告生成           │\n         ├──────────────────────────────────────────┤\nLayer 3  │  决策层: debater.py                      │\n         │  多头×空头辩论 → 风控审查 → 分歧转一致检测  │\n         ├──────────────────────────────────────────┤\nLayer 2  │  分析层: analyzer.py                     │\n         │  多日趋势分析、假跌破检测、因子评分         │\n         ├──────────────────────────────────────────┤\nLayer 1  │  执行层: fetcher.py                      │\n         │  实时行情(新浪) + 资金流向(东方财富) +     │\n         │  9项技术因子(RSI/MACD/KDJ/布林/ICU等)     │\n         └──────────────────────────────────────────┘\n```\n\n## 用法\n\n### Layer 1: 数据层\n\n#### 单只实时行情\n```bash\npython3 {baseDir}/scripts/fetcher.py\n```\n返回结构化数据：price、change_pct、high、low、amount_yi、volume_wan\n\n#### 批量行情\n```python\nfrom scripts.fetcher import fetch_batch\nresults = fetch_batch([\"000001\",\"000002\",\"600519\"])\n```\n\n#### 技术指标计算（v2.2 — 9个因子）\n```python\nfrom scripts.fetcher import fetch_kline, calc_indicators\nkline = fetch_kline(\"300042\", \"daily\", 120)\nindicators = calc_indicators(kline)\n# 返回: ma5/10/20/60, RSI6/14, MACD+柱, KDJ, Bollinger, ICU均线(中泰2023), 鳄鱼线(招商2024), ADX, OBV\n```\n\n#### 东方财富资金流向（v2.2 新增）\n```python\nfrom scripts.fetcher import eastmoney_kline, eastmoney_sector_flow\n\n# 个股基础数据（换手率、量比、市值）\ndata = eastmoney_kline(\"002842\")\n\n# 板块资金排行Top10\nsectors = eastmoney_sector_flow(10)  # 主力净流入、涨跌幅、超大单、散户\n```\n\n### Layer 2: 分析层\n\n#### 全市场扫描\n```bash\npython3 {baseDir}/scripts/analyzer.py scan\n```\n按板块输出涨跌幅排行（含多日趋势、假跌破检测）\n\n#### 市场简报\n```bash\npython3 {baseDir}/scripts/analyzer.py report\n```\n生成Markdown格式日报，保存到 reports/ 目录\n\n#### 市场状态检测\n```bash\npython3 {baseDir}/scripts/analyzer.py regime\n```\n判断当前市场处于牛市/熊市/震荡（均线偏离度法）\n\n#### 板块资金流向采集\n```python\nfrom scripts.analyzer import collect_sector_flow\nsf = collect_sector_flow(15)\n```\n\n### Layer 3: 决策层 — 多空辩论+风控审查\n\n#### 完整五层辩论流程（TradingAgents架构）\n```bash\npython3 {baseDir}/scripts/debater.py 002842\n```\n输出：\n- **多头论点**：均线、量能、RSI、MACD金叉、KDJ金叉、ICU均线、鳄鱼线、分歧转一致\n- **空头论点**：超买、超涨、死叉、布林上轨、OBV流出\n- **主持人裁决**：多/空/分歧\n- **风控审查**：风险等级(高/中/低)、建议仓位上限、超买/波动率警报\n- **分歧转一致信号**：缩量回调后放量突破、横盘启动、回踩支撑反弹\n\n### Layer 4: 追踪层 — 推荐闭环（v2.2 新增）\n\n#### 记录推荐\n```bash\npython3 {baseDir}/scripts/tracker.py record 002842 long 35.76 32.0 42.0 '钨涨价+分歧转一致'\n```\n\n#### 每日检查\n```bash\npython3 {baseDir}/scripts/tracker.py check\n```\n自动检查所有活跃推荐，含技术因子快照、止损/止盈触发、自动关闭\n\n#### 生成报告\n```bash\npython3 {baseDir}/scripts/tracker.py report\n```\n输出Markdown格式追踪报告，显示每只推荐标的的入场价、当前收益、RSI/MACD/ICU状态\n\n## 数据源\n\n| 数据源 | 类型 | 数据内容 | 成本 |\n|--------|------|---------|------|\n| **新浪财经** (sina) | HTTP REST | 实时行情、日K/周K/分钟K线、板块涨跌排行 | 免费 |\n| **东方财富** (eastmoney) | HTTP REST | 换手率、量比、总市值/流通市值、市盈率、**板块资金流向排行**(主力净流入/超大单/散户) | 免费 |\n\n零成本，无需 API Key。\n\n## 升级日志\n\n| 版本 | 日期 | 内容 |\n|------|------|------|\n| v2.2.0 | 2026-06-11 | 短线手术刀正式更名; 新增东方财富数据源(换手率/量比/市值/板块资金排行); 新增RSI/MACD/KDJ/布林/ICU均线/鳄鱼线/ADX/OBV共9因子; 新增分歧转一致检测+风控审查(risk_audit); 新增推荐追踪引擎(tracker.py); 新增多日趋势分析+假跌破检测 |\n| v2.0 | 2026-06-10 | 统一import路径、新增三层架构、新增debater.py辩论引擎、新增calc_indicators指标计算、单接口fetch_realtime独立行情获取 |\n\n## 技术参考\n\n- StockBench (arXiv 2025) — LLM交易代理评估框架\n- TradingAgents (UCLA+MIT) — 多Agent投行模拟架构\n- 中国基金报 (2026-04) — A股打板生态深度剖析\n- QuantsPlaybook (hugo2046) — 券商金工因子库\n- 中泰证券《ICU均线下的择时策略》(2023)\n- 招商证券《基于鳄鱼线的指数择时及轮动策略》(2024)\n\n## 依赖\n\n- Python 3.8+\n- 标准库（urllib、json、csv、re、math）\n\n## 合规声明\n\n仅提供市场数据整理与技术指标计算，**不构成任何投资建议**。投资有风险，决策需自主。\n\nFile v2.2.0:_meta.json\n\n{\n  \"ownerId\": \"kn77debhbqfcs0ehymsrcx5mmd87wash\",\n  \"slug\": \"finbot-stock\",\n  \"version\": \"2.2.0\",\n  \"publishedAt\": 1781187026985\n}\n\nFile v2.2.0:skill-card.md\n\n## Description:\n\nA股短线量化分析工具 — 实时行情、9因子选股、多空辩论+风控审查、推荐追踪闭环。数据源：新浪财经+东方财富（免费行情）。\n\nThis skill is ready for commercial/non-commercial use.\n\n## Publisher:\n\n[zhubohan190601-crypto](https://clawhub.ai/user/zhubohan190601-crypto)\n\n### License/Terms of Use:\n\nMIT-0\n\n## Use Case:\n\nExternal users and developers use this skill to collect free A-share market data, calculate short-term technical factors, generate long/short debate analysis with risk review, and track recommendation outcomes. It supports market screening and reporting workflows, not investment advice.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: Financial analysis can be incorrect or misleading, and the skill's own compliance statement says outputs are not investment advice.\n\nMitigation: Treat results as informational analysis only and require independent human review before any trading decision.\n\nRisk: Some market data is fetched over unauthenticated HTTP or public finance endpoints, which can affect integrity and availability.\n\nMitigation: Cross-check important prices, flows, and indicators against trusted market data before acting on the output.\n\nRisk: Recommendation, report, audit, and tracking files may persist strategy details locally.\n\nMitigation: Run the skill as an unprivileged user and keep generated local records in an access-controlled workspace.\n\nRisk: Untrusted stock-code strings may be passed into command-line or data-fetching workflows.\n\nMitigation: Use known stock-code formats and avoid passing untrusted or unexpected strings to the scripts.\n\n## Reference(s):\n\n- [ClawHub skill page](https://clawhub.ai/zhubohan190601-crypto/skills/finbot-stock)\n- [Sina Finance data source](https://finance.sina.com.cn)\n- [Sina K-line API endpoint](https://quotes.sina.cn/cn/api/json_v2.php)\n- [Eastmoney data source](http://data.eastmoney.com/)\n\n## Skill Output:\n\n**Output Type(s):** [text, markdown, code, shell commands, configuration, guidance]\n\n**Output Format:** [Markdown reports, JSON-like Python dictionaries, shell commands, and Python import snippets]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [May write local reports, audit logs, and tracking records under the skill directory when its scripts are executed.]\n\n## Skill Version(s):\n\n2.2.0 (source: frontmatter and server release evidence)\n\n## Ethical Considerations:\n\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.\n\nArchive v2.1.4: 7 files, 25357 bytes\n\nFiles: scripts/analyzer.py (20121b), scripts/debater.py (15162b), scripts/fetcher.py (17336b), scripts/tracker.py (16078b), skill-card.md (2431b), SKILL.md (3683b), _meta.json (131b)\n\nFile v2.1.4:SKILL.md\n\n---\nname: 短线手术刀 (ScalpelTrade)\ndescription: \"A股短线量化分析工具 — 实时行情、9因子选股、多空辩论+风控审查、推荐追踪闭环。数据源：新浪财经+东方财富（免费行情）。\"\ntags:\n  - finance\n  - china-stocks\n  - a-shares\n  - market-data\n  - stock-screening\n  - multi-agent\n  - debate-analysis\nversion: 2.0.0\n---\n\n# finbot-stock v2.0 — A股多Agent量化分析工具\n\n融合多Agent量化交易的三层架构（执行层→分析层→决策层），提供从数据采集到多空辩论的全链路支持。\n\n## 架构\n\n```\n         ┌──────────────────────────────────────┐\nLayer 3  │  决策层: debater.py                  │\n         │  多头Agent × 空头Agent → 主持人裁决    │\n         ├──────────────────────────────────────┤\nLayer 2  │  分析层: analyzer.py                 │\n         │  因子计算、技术指标、信号提取          │\n         ├──────────────────────────────────────┤\nLayer 1  │  执行层: fetcher.py                  │\n         │  实时行情、K线数据、板块数据           │\n         └──────────────────────────────────────┘\n```\n\n## 用法\n\n### Layer 1: 数据层\n\n#### 单只实时行情\n```bash\npython3 {baseDir}/scripts/fetcher.py\n```\n返回结构化数据：price、change_pct、high、low、amount_yi、volume_wan\n\n#### 批量行情\n```python\nfrom scripts.fetcher import fetch_batch\nresults = fetch_batch([\"000001\",\"000002\",\"600519\"])\n```\n\n#### 技术指标计算\n```python\nfrom scripts.fetcher import fetch_kline, calc_indicators\nkline = fetch_kline(\"300042\", \"daily\", 120)\nindicators = calc_indicators(kline)\n# 返回: ma20, ma60, deviation_ma20_pct, volume_ratio\n```\n\n### Layer 2: 分析层\n\n#### 全市场扫描\n```bash\npython3 {baseDir}/scripts/analyzer.py scan\n```\n按板块输出涨跌幅排行\n\n#### 市场简报\n```bash\npython3 {baseDir}/scripts/analyzer.py report\n```\n生成Markdown格式日报，保存到 reports/ 目录\n\n#### 单只因子分析\n```bash\npython3 {baseDir}/scripts/analyzer.py debate 300042\n```\n输出技术因子 + 多空信号计数\n\n### Layer 3: 决策层（多空辩论）\n\n#### 完整辩论流程\n```bash\npython3 {baseDir}/scripts/debater.py 300042\n```\n输出：\n- 多头论点 + 强度评分(1-10)\n- 空头论点 + 强度评分(1-10)\n- 主持人裁决（多/空/分歧）\n- 行动建议（推进/降低仓位/放弃）\n\n#### 在Cron Job中调用\n选股/收盘任务中，按以下步骤执行：\n1. `analyzer.py scan` — 数据采集\n2. `analyzer.py debate <code>` — 多空辩论\n3. AI综合分析输出\n\n## 数据源\n\n| 数据源 | 数据类型 | 成本 |\n|--------|---------|------|\n| **新浪财经** (sina) | 实时行情、K线、板块排行 | 免费 |\n| **东方财富** (eastmoney) | 换手率、量比、市值、市盈率、板块资金流向排行(主力净流入/超大单/散户) | 免费 |\n\n零成本，无需 API Key。\n\n## 升级日志\n\n| 版本 | 日期 | 内容 |\n|------|------|------|\n| v2.0 | 2026-06-10 | 统一import路径、新增三层架构、新增debater.py辩论引擎、新增calc_indicators指标计算、单接口fetch_realtime独立行情获取 |\n\n## 依赖\n\n- Python 3.8+\n- 标准库（urllib、json、csv、re）\n\n## 合规声明\n\n仅提供市场数据整理与技术指标计算，**不构成任何投资建议**。投资有风险，决策需自主。\n\nFile v2.1.4:_meta.json\n\n{\n  \"ownerId\": \"kn77debhbqfcs0ehymsrcx5mmd87wash\",\n  \"slug\": \"finbot-stock\",\n  \"version\": \"2.1.4\",\n  \"publishedAt\": 1781186900234\n}\n\nFile v2.1.4:skill-card.md\n\n## Description: <br>\nA股短线量化分析工具，面向中国A股市场提供实时行情、9因子选股、多空辩论、风控审查和推荐追踪闭环。 <br>\n\nThis skill is ready for commercial/non-commercial use. <br>\n\n## Publisher: <br>\n[zhubohan190601-crypto](https://clawhub.ai/user/zhubohan190601-crypto) <br>\n\n### License/Terms of Use: <br>\nMIT-0 <br>\n\n\n## Use Case: <br>\nExternal users and developers use this skill to collect public Chinese stock-market data, compute technical factors, generate market reports, compare bullish and bearish arguments, and track recommendation outcomes. Its outputs should be treated as decision support and manually reviewed before any trading action. <br>\n\n### Deployment Geography for Use: <br>\nGlobal <br>\n\n## Known Risks and Mitigations: <br>\nRisk: The skill can produce position or trade-action suggestions from public market data. <br>\nMitigation: Treat outputs as decision support, not professional financial advice, and manually review recommendations before acting. <br>\nRisk: Running the scripts fetches public Chinese stock-market data and writes analysis or tracking files under the skill directory. <br>\nMitigation: Install and run only in an environment where local report and tracking file writes are acceptable. <br>\n\n\n## Reference(s): <br>\n- [ClawHub skill page](https://clawhub.ai/zhubohan190601-crypto/finbot-stock) <br>\n- [Publisher profile](https://clawhub.ai/user/zhubohan190601-crypto) <br>\n- [Sina Finance market data](https://finance.sina.com.cn) <br>\n- [Sina K-line API endpoint used by the artifact](https://quotes.sina.cn/cn/api/json_v2.php) <br>\n\n\n## Skill Output: <br>\n**Output Type(s):** [text, markdown, code, shell commands, configuration, guidance] <br>\n**Output Format:** [Markdown, JSON-like analysis objects, console text, and local report/tracking files] <br>\n**Output Parameters:** [1D] <br>\n**Other Properties Related to Output:** [May write market reports under reports/ and recommendation tracking records under tracking/ when the scripts are run.] <br>\n\n## Skill Version(s): <br>\n2.1.4 (source: server release evidence; artifact frontmatter reports 2.0.0) <br>\n\n## Ethical Considerations: <br>\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment. <br>\n\nArchive v2.1.3: 7 files, 25170 bytes\n\nFiles: scripts/analyzer.py (20121b), scripts/debater.py (15162b), scripts/fetcher.py (17336b), scripts/tracker.py (16078b), skill-card.md (2600b), SKILL.md (3414b), _meta.json (131b)\n\nFile v2.1.3:SKILL.md\n\n---\nname: 短线手术刀 (ScalpelTrade)\ndescription: \"A股短线量化分析工具 — 实时行情、9因子选股、多空辩论+风控审查、推荐追踪闭环。数据源：新浪财经（零成本）。\"\ntags:\n  - finance\n  - china-stocks\n  - a-shares\n  - market-data\n  - stock-screening\n  - multi-agent\n  - debate-analysis\nversion: 2.0.0\n---\n\n# finbot-stock v2.0 — A股多Agent量化分析工具\n\n融合多Agent量化交易的三层架构（执行层→分析层→决策层），提供从数据采集到多空辩论的全链路支持。\n\n## 架构\n\n```\n         ┌──────────────────────────────────────┐\nLayer 3  │  决策层: debater.py                  │\n         │  多头Agent × 空头Agent → 主持人裁决    │\n         ├──────────────────────────────────────┤\nLayer 2  │  分析层: analyzer.py                 │\n         │  因子计算、技术指标、信号提取          │\n         ├──────────────────────────────────────┤\nLayer 1  │  执行层: fetcher.py                  │\n         │  实时行情、K线数据、板块数据           │\n         └──────────────────────────────────────┘\n```\n\n## 用法\n\n### Layer 1: 数据层\n\n#### 单只实时行情\n```bash\npython3 {baseDir}/scripts/fetcher.py\n```\n返回结构化数据：price、change_pct、high、low、amount_yi、volume_wan\n\n#### 批量行情\n```python\nfrom scripts.fetcher import fetch_batch\nresults = fetch_batch([\"000001\",\"000002\",\"600519\"])\n```\n\n#### 技术指标计算\n```python\nfrom scripts.fetcher import fetch_kline, calc_indicators\nkline = fetch_kline(\"300042\", \"daily\", 120)\nindicators = calc_indicators(kline)\n# 返回: ma20, ma60, deviation_ma20_pct, volume_ratio\n```\n\n### Layer 2: 分析层\n\n#### 全市场扫描\n```bash\npython3 {baseDir}/scripts/analyzer.py scan\n```\n按板块输出涨跌幅排行\n\n#### 市场简报\n```bash\npython3 {baseDir}/scripts/analyzer.py report\n```\n生成Markdown格式日报，保存到 reports/ 目录\n\n#### 单只因子分析\n```bash\npython3 {baseDir}/scripts/analyzer.py debate 300042\n```\n输出技术因子 + 多空信号计数\n\n### Layer 3: 决策层（多空辩论）\n\n#### 完整辩论流程\n```bash\npython3 {baseDir}/scripts/debater.py 300042\n```\n输出：\n- 多头论点 + 强度评分(1-10)\n- 空头论点 + 强度评分(1-10)\n- 主持人裁决（多/空/分歧）\n- 行动建议（推进/降低仓位/放弃）\n\n#### 在Cron Job中调用\n选股/收盘任务中，按以下步骤执行：\n1. `analyzer.py scan` — 数据采集\n2. `analyzer.py debate <code>` — 多空辩论\n3. AI综合分析输出\n\n## 数据源\n\n新浪财经免费行情接口。零成本，无需 API Key。\n\n## 升级日志\n\n| 版本 | 日期 | 内容 |\n|------|------|------|\n| v2.0 | 2026-06-10 | 统一import路径、新增三层架构、新增debater.py辩论引擎、新增calc_indicators指标计算、单接口fetch_realtime独立行情获取 |\n\n## 依赖\n\n- Python 3.8+\n- 标准库（urllib、json、csv、re）\n\n## 合规声明\n\n仅提供市场数据整理与技术指标计算，**不构成任何投资建议**。投资有风险，决策需自主。\n\nFile v2.1.3:_meta.json\n\n{\n  \"ownerId\": \"kn77debhbqfcs0ehymsrcx5mmd87wash\",\n  \"slug\": \"finbot-stock\",\n  \"version\": \"2.1.3\",\n  \"publishedAt\": 1781186617937\n}\n\nFile v2.1.3:skill-card.md\n\n## Description: <br>\nA-share short-term quantitative analysis skill for real-time quotes, factor screening, bull/bear debate, risk review, and recommendation tracking using Sina Finance and Eastmoney market data. <br>\n\nThis skill is ready for commercial/non-commercial use. <br>\n\n## Publisher: <br>\n[zhubohan190601-crypto](https://clawhub.ai/user/zhubohan190601-crypto) <br>\n\n### License/Terms of Use: <br>\nMIT-0 <br>\n\n\n## Use Case: <br>\nExternal users and developers use this skill to collect A-share market data, compute technical indicators, compare bullish and bearish cases, generate market reports, and track recommendations. Outputs should be reviewed as market analysis support, not investment advice. <br>\n\n### Deployment Geography for Use: <br>\nGlobal <br>\n\n## Known Risks and Mitigations: <br>\nRisk: The skill produces recommendation-like finance guidance for A-share trading. <br>\nMitigation: Treat outputs as analysis support only, verify market data independently, and require human review before any investment decision. <br>\nRisk: Reports, trade logs, audit trails, and tracking records are stored locally in plaintext. <br>\nMitigation: Avoid entering confidential strategy notes unless plaintext local storage is acceptable, and periodically review or remove generated local files. <br>\nRisk: The skill contacts Sina Finance and Eastmoney market-data endpoints. <br>\nMitigation: Run it only in environments where outbound access to those services is approved and where their data availability and terms are acceptable. <br>\n\n\n## Reference(s): <br>\n- [ClawHub skill page](https://clawhub.ai/zhubohan190601-crypto/finbot-stock) <br>\n- [Publisher profile](https://clawhub.ai/user/zhubohan190601-crypto) <br>\n- [Sina Finance](https://finance.sina.com.cn) <br>\n- [Eastmoney Data Center](http://data.eastmoney.com/) <br>\n\n\n## Skill Output: <br>\n**Output Type(s):** [Text, Markdown, Code, Shell commands, Guidance] <br>\n**Output Format:** [Console text, JSON analysis objects, and Markdown reports] <br>\n**Output Parameters:** [1D] <br>\n**Other Properties Related to Output:** [May create local plaintext reports, trade logs, audit trails, and recommendation tracking records under the skill directory.] <br>\n\n## Skill Version(s): <br>\n2.1.3 (source: server release metadata; artifact frontmatter says 2.0.0) <br>\n\n## Ethical Considerations: <br>\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment. <br>\n\nArchive v2.1.2: 7 files, 24265 bytes\n\nFiles: scripts/analyzer.py (19346b), scripts/debater.py (15162b), scripts/fetcher.py (14512b), scripts/tracker.py (16078b), skill-card.md (2868b), SKILL.md (3414b), _meta.json (131b)\n\nFile v2.1.2:SKILL.md\n\n---\nname: 短线手术刀 (ScalpelTrade)\ndescription: \"A股短线量化分析工具 — 实时行情、9因子选股、多空辩论+风控审查、推荐追踪闭环。数据源：新浪财经（零成本）。\"\ntags:\n  - finance\n  - china-stocks\n  - a-shares\n  - market-data\n  - stock-screening\n  - multi-agent\n  - debate-analysis\nversion: 2.0.0\n---\n\n# finbot-stock v2.0 — A股多Agent量化分析工具\n\n融合多Agent量化交易的三层架构（执行层→分析层→决策层），提供从数据采集到多空辩论的全链路支持。\n\n## 架构\n\n```\n         ┌──────────────────────────────────────┐\nLayer 3  │  决策层: debater.py                  │\n         │  多头Agent × 空头Agent → 主持人裁决    │\n         ├──────────────────────────────────────┤\nLayer 2  │  分析层: analyzer.py                 │\n         │  因子计算、技术指标、信号提取          │\n         ├──────────────────────────────────────┤\nLayer 1  │  执行层: fetcher.py                  │\n         │  实时行情、K线数据、板块数据           │\n         └──────────────────────────────────────┘\n```\n\n## 用法\n\n### Layer 1: 数据层\n\n#### 单只实时行情\n```bash\npython3 {baseDir}/scripts/fetcher.py\n```\n返回结构化数据：price、change_pct、high、low、amount_yi、volume_wan\n\n#### 批量行情\n```python\nfrom scripts.fetcher import fetch_batch\nresults = fetch_batch([\"000001\",\"000002\",\"600519\"])\n```\n\n#### 技术指标计算\n```python\nfrom scripts.fetcher import fetch_kline, calc_indicators\nkline = fetch_kline(\"300042\", \"daily\", 120)\nindicators = calc_indicators(kline)\n# 返回: ma20, ma60, deviation_ma20_pct, volume_ratio\n```\n\n### Layer 2: 分析层\n\n#### 全市场扫描\n```bash\npython3 {baseDir}/scripts/analyzer.py scan\n```\n按板块输出涨跌幅排行\n\n#### 市场简报\n```bash\npython3 {baseDir}/scripts/analyzer.py report\n```\n生成Markdown格式日报，保存到 reports/ 目录\n\n#### 单只因子分析\n```bash\npython3 {baseDir}/scripts/analyzer.py debate 300042\n```\n输出技术因子 + 多空信号计数\n\n### Layer 3: 决策层（多空辩论）\n\n#### 完整辩论流程\n```bash\npython3 {baseDir}/scripts/debater.py 300042\n```\n输出：\n- 多头论点 + 强度评分(1-10)\n- 空头论点 + 强度评分(1-10)\n- 主持人裁决（多/空/分歧）\n- 行动建议（推进/降低仓位/放弃）\n\n#### 在Cron Job中调用\n选股/收盘任务中，按以下步骤执行：\n1. `analyzer.py scan` — 数据采集\n2. `analyzer.py debate <code>` — 多空辩论\n3. AI综合分析输出\n\n## 数据源\n\n新浪财经免费行情接口。零成本，无需 API Key。\n\n## 升级日志\n\n| 版本 | 日期 | 内容 |\n|------|------|------|\n| v2.0 | 2026-06-10 | 统一import路径、新增三层架构、新增debater.py辩论引擎、新增calc_indicators指标计算、单接口fetch_realtime独立行情获取 |\n\n## 依赖\n\n- Python 3.8+\n- 标准库（urllib、json、csv、re）\n\n## 合规声明\n\n仅提供市场数据整理与技术指标计算，**不构成任何投资建议**。投资有风险，决策需自主。\n\nFile v2.1.2:_meta.json\n\n{\n  \"ownerId\": \"kn77debhbqfcs0ehymsrcx5mmd87wash\",\n  \"slug\": \"finbot-stock\",\n  \"version\": \"2.1.2\",\n  \"publishedAt\": 1781185233581\n}\n\nFile v2.1.2:skill-card.md\n\n## Description: <br>\nA股短线量化分析工具，用于实时行情、9因子选股、多空辩论、风控审查和推荐追踪闭环。 <br>\n\nThis skill is ready for commercial/non-commercial use. <br>\n\n## Publisher: <br>\n[zhubohan190601-crypto](https://clawhub.ai/user/zhubohan190601-crypto) <br>\n\n### License/Terms of Use: <br>\nMIT-0 <br>\n\n\n## Use Case: <br>\nExternal users and developers use this skill to fetch China A-share market data, compute technical factors, generate stock-screening summaries, compare bull and bear cases, and track recommendation records. Its outputs are decision-support analysis for user review, not investment advice. <br>\n\n### Deployment Geography for Use: <br>\nGlobal <br>\n\n## Known Risks and Mitigations: <br>\nRisk: The skill produces stock ratings, position sizes, stop-loss/take-profit records, and debate rulings that may be mistaken for investment advice. <br>\nMitigation: Treat outputs as user-reviewed financial decision support and require independent review before acting on any trade-related suggestion. <br>\nRisk: The skill fetches live market data from Sina Finance endpoints, so unavailable, delayed, changed, or malformed source data can affect analysis quality. <br>\nMitigation: Check data freshness and compare important results against another trusted market data source before relying on the analysis. <br>\nRisk: The skill stores reports, recommendation records, and audit trails locally in the skill directory. <br>\nMitigation: Review the generated local files for sensitive trading rationale or portfolio information and manage retention according to the user's privacy and compliance needs. <br>\n\n\n## Reference(s): <br>\n- [ClawHub skill page](https://clawhub.ai/zhubohan190601-crypto/finbot-stock) <br>\n- [Publisher profile](https://clawhub.ai/user/zhubohan190601-crypto) <br>\n- [Sina Finance](https://finance.sina.com.cn) <br>\n- [Sina realtime quote endpoint](https://hq.sinajs.cn/list={mkt}{code}) <br>\n- [Sina K-line endpoint](https://quotes.sina.cn/cn/api/json_v2.php/CN_MarketData.getKLineData?symbol={mkt}{code}&scale={s}&datalen={datalen}) <br>\n\n\n## Skill Output: <br>\n**Output Type(s):** [text, markdown, code, shell commands, configuration, guidance] <br>\n**Output Format:** [Markdown reports, JSON records, console text, Python function outputs, and shell command guidance] <br>\n**Output Parameters:** [1D] <br>\n**Other Properties Related to Output:** [May create local reports, recommendation records, and audit trails in the skill directory.] <br>\n\n## Skill Version(s): <br>\n2.1.2 (source: server release metadata) <br>\n\n## Ethical Considerations: <br>\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment. <br>\n\nArchive v2.1.1: 7 files, 23988 bytes\n\nFiles: scripts/analyzer.py (19346b), scripts/debater.py (15162b), scripts/fetcher.py (14512b), scripts/tracker.py (16078b), skill-card.md (2516b), SKILL.md (3394b), _meta.json (131b)\n\nFile v2.1.1:SKILL.md\n\n---\nname: 金探A股\ndescription: \"A股短线量化分析工具 — 实时行情、9因子选股、多空辩论+风控审查、推荐追踪闭环。数据源：新浪财经（零成本）。\"\ntags:\n  - finance\n  - china-stocks\n  - a-shares\n  - market-data\n  - stock-screening\n  - multi-agent\n  - debate-analysis\nversion: 2.0.0\n---\n\n# finbot-stock v2.0 — A股多Agent量化分析工具\n\n融合多Agent量化交易的三层架构（执行层→分析层→决策层），提供从数据采集到多空辩论的全链路支持。\n\n## 架构\n\n```\n         ┌──────────────────────────────────────┐\nLayer 3  │  决策层: debater.py                  │\n         │  多头Agent × 空头Agent → 主持人裁决    │\n         ├──────────────────────────────────────┤\nLayer 2  │  分析层: analyzer.py                 │\n         │  因子计算、技术指标、信号提取          │\n         ├──────────────────────────────────────┤\nLayer 1  │  执行层: fetcher.py                  │\n         │  实时行情、K线数据、板块数据           │\n         └──────────────────────────────────────┘\n```\n\n## 用法\n\n### Layer 1: 数据层\n\n#### 单只实时行情\n```bash\npython3 {baseDir}/scripts/fetcher.py\n```\n返回结构化数据：price、change_pct、high、low、amount_yi、volume_wan\n\n#### 批量行情\n```python\nfrom scripts.fetcher import fetch_batch\nresults = fetch_batch([\"000001\",\"000002\",\"600519\"])\n```\n\n#### 技术指标计算\n```python\nfrom scripts.fetcher import fetch_kline, calc_indicators\nkline = fetch_kline(\"300042\", \"daily\", 120)\nindicators = calc_indicators(kline)\n# 返回: ma20, ma60, deviation_ma20_pct, volume_ratio\n```\n\n### Layer 2: 分析层\n\n#### 全市场扫描\n```bash\npython3 {baseDir}/scripts/analyzer.py scan\n```\n按板块输出涨跌幅排行\n\n#### 市场简报\n```bash\npython3 {baseDir}/scripts/analyzer.py report\n```\n生成Markdown格式日报，保存到 reports/ 目录\n\n#### 单只因子分析\n```bash\npython3 {baseDir}/scripts/analyzer.py debate 300042\n```\n输出技术因子 + 多空信号计数\n\n### Layer 3: 决策层（多空辩论）\n\n#### 完整辩论流程\n```bash\npython3 {baseDir}/scripts/debater.py 300042\n```\n输出：\n- 多头论点 + 强度评分(1-10)\n- 空头论点 + 强度评分(1-10)\n- 主持人裁决（多/空/分歧）\n- 行动建议（推进/降低仓位/放弃）\n\n#### 在Cron Job中调用\n选股/收盘任务中，按以下步骤执行：\n1. `analyzer.py scan` — 数据采集\n2. `analyzer.py debate <code>` — 多空辩论\n3. AI综合分析输出\n\n## 数据源\n\n新浪财经免费行情接口。零成本，无需 API Key。\n\n## 升级日志\n\n| 版本 | 日期 | 内容 |\n|------|------|------|\n| v2.0 | 2026-06-10 | 统一import路径、新增三层架构、新增debater.py辩论引擎、新增calc_indicators指标计算、单接口fetch_realtime独立行情获取 |\n\n## 依赖\n\n- Python 3.8+\n- 标准库（urllib、json、csv、re）\n\n## 合规声明\n\n仅提供市场数据整理与技术指标计算，**不构成任何投资建议**。投资有风险，决策需自主。\n\nFile v2.1.1:_meta.json\n\n{\n  \"ownerId\": \"kn77debhbqfcs0ehymsrcx5mmd87wash\",\n  \"slug\": \"finbot-stock\",\n  \"version\": \"2.1.1\",\n  \"publishedAt\": 1781184937683\n}\n\nFile v2.1.1:skill-card.md\n\n## Description: <br>\nA-share short-term quantitative analysis skill for real-time market data, nine-factor screening, bull/bear debate, risk review, and recommendation tracking using free Sina Finance market data. <br>\n\nThis skill is ready for commercial/non-commercial use. <br>\n\n## Publisher: <br>\n[zhubohan190601-crypto](https://clawhub.ai/user/zhubohan190601-crypto) <br>\n\n### License/Terms of Use: <br>\nMIT-0 <br>\n\n\n## Use Case: <br>\nExternal users and developers use this skill to gather public China A-share market data, calculate technical indicators, generate structured market reports, compare bull and bear cases, and track recommendation outcomes. Outputs should be treated as informational market analysis rather than financial advice. <br>\n\n### Deployment Geography for Use: <br>\nGlobal <br>\n\n## Known Risks and Mitigations: <br>\nRisk: The skill produces directional, action-oriented market opinions and recommendation tracking outputs. <br>\nMitigation: Treat outputs as informational analysis, not financial advice, and require independent review before any trading decision. <br>\nRisk: The skill saves generated reports, recommendation history, and audit-style records locally. <br>\nMitigation: Review or delete generated local files periodically, especially on shared machines. <br>\nRisk: The skill fetches public market data from external Sina Finance endpoints, so availability and data freshness can vary. <br>\nMitigation: Check data timestamps and rerun or verify against another market-data source before relying on stale or failed fetches. <br>\n\n\n## Reference(s): <br>\n- [ClawHub skill listing](https://clawhub.ai/zhubohan190601-crypto/finbot-stock) <br>\n- [Sina Finance data source](https://finance.sina.com.cn) <br>\n\n\n## Skill Output: <br>\n**Output Type(s):** [Text, Markdown, Code, Shell commands, Configuration, Guidance] <br>\n**Output Format:** [Markdown, terminal text, JSON records, and Python-callable outputs] <br>\n**Output Parameters:** [1D] <br>\n**Other Properties Related to Output:** [Can create local reports, recommendation tracking records, and audit-style logs under the skill workspace.] <br>\n\n## Skill Version(s): <br>\n2.1.1 (source: ClawHub release metadata; artifact frontmatter says 2.0.0) <br>\n\n## Ethical Considerations: <br>\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment. <br>\n\nArchive v2.1.0: 7 files, 24868 bytes\n\nFiles: scripts/analyzer.py (19346b), scripts/debater.py (15162b), scripts/fetcher.py (14512b), scripts/tracker.py (16078b), skill-card.md (2704b), SKILL.md (5343b), _meta.json (131b)\n\nFile v2.1.0:SKILL.md\n\n---\nname: finbot-stock\ndescription: \"A股市场数据工具 v2.1 — 实时行情、9因子技术分析、多空辩论+风控审查、推荐追踪闭环。数据源：新浪财经（零成本）。\"\ntags:\n  - finance\n  - china-stocks\n  - a-shares\n  - market-data\n  - stock-screening\n  - multi-agent\n  - debate-analysis\n  - risk-management\n  - stock-tracking\nversion: 2.1.0\n---\n\n# finbot-stock v2.1 — A股短线多因子量化分析工具\n\n融合多Agent量化交易的四层架构（采集→分析→辩论→追踪），提供从数据采集到推荐闭环的全链路支持。\n\n## 架构\n\n```\n         ┌──────────────────────────────────────────┐\nLayer 4  │  追踪层: tracker.py                      │\n         │  推荐记录 → 每日检查 → 报告生成           │\n         ├──────────────────────────────────────────┤\nLayer 3  │  决策层: debater.py                      │\n         │  多头×空头辩论 → 风控审查 → 分歧转一致检测  │\n         ├──────────────────────────────────────────┤\nLayer 2  │  分析层: analyzer.py                     │\n         │  多日趋势分析、假跌破检测、因子评分         │\n         ├──────────────────────────────────────────┤\nLayer 1  │  执行层: fetcher.py                      │\n         │  实时行情、K线、9项技术因子(RSI/MACD/KDJ等)│\n         └──────────────────────────────────────────┘\n```\n\n## 用法\n\n### Layer 1: 数据层\n\n#### 单只实时行情\n```bash\npython3 {baseDir}/scripts/fetcher.py\n```\n返回结构化数据：price、change_pct、high、low、amount_yi、volume_wan\n\n#### 批量行情\n```python\nfrom scripts.fetcher import fetch_batch\nresults = fetch_batch([\"000001\",\"000002\",\"600519\"])\n```\n\n#### 技术指标计算（v2.1新增9个因子）\n```python\nfrom scripts.fetcher import fetch_kline, calc_indicators\nkline = fetch_kline(\"300042\", \"daily\", 120)\nindicators = calc_indicators(kline)\n# 返回: ma5/10/20/60, RSI6/14, MACD+柱, KDJ, Bollinger, ICU均线, 鳄鱼线, ADX, OBV\n```\n\n### Layer 2: 分析层\n\n#### 全市场扫描\n```bash\npython3 {baseDir}/scripts/analyzer.py scan\n```\n按板块输出涨跌幅排行（含多日趋势、假跌破检测）\n\n#### 市场简报\n```bash\npython3 {baseDir}/scripts/analyzer.py report\n```\n生成Markdown格式日报，保存到 reports/ 目录\n\n#### 多日因子分析（v2.1新增）\n```bash\npython3 {baseDir}/scripts/analyzer.py debate 300042\n```\n输出：近3日/5日趋势、回撤幅度、假跌破信号\n\n#### 市场状态检测\n```bash\npython3 {baseDir}/scripts/analyzer.py regime\n```\n判断当前市场处于牛市/熊市/震荡\n\n### Layer 3: 决策层 — 多空辩论+风控审查（v2.1升级）\n\n#### 完整五层辩论流程（TradingAgents架构）\n```bash\npython3 {baseDir}/scripts/debater.py 300042\n```\n输出：\n- **多头论点**：均线、量能、RSI、MACD金叉、KDJ金叉、ICU均线、鳄鱼线、分歧转一致\n- **空头论点**：超买、超涨、死叉、布林上轨、OBV流出\n- **主持人裁决**：多/空/分歧\n- **风控审查**：风险等级(高/中/低)、建议仓位上限、超买/波动率警报\n- **分歧转一致信号**：缩量回调后放量突破、横盘启动、回踩支撑反弹\n\n### Layer 4: 追踪层 — 推荐闭环（v2.1新增）\n\n#### 记录推荐\n```bash\npython3 {baseDir}/scripts/tracker.py record 002842 long 35.76 32.0 42.0 '钨涨价+分歧转一致'\n```\n\n#### 每日检查\n```bash\npython3 {baseDir}/scripts/tracker.py check\n```\n自动检查所有活跃推荐，含技术因子快照、止损/止盈触发、自动关闭\n\n#### 生成报告\n```bash\npython3 {baseDir}/scripts/tracker.py report\n```\n输出Markdown格式追踪报告：活跃推荐（含RSI/MACD/ICU字段）+ 已关闭记录\n\n## 数据源\n\n新浪财经免费行情接口。零成本，无需 API Key。\n\n## 升级日志\n\n| 版本 | 日期 | 内容 |\n|------|------|------|\n| v2.1 | 2026-06-11 | 新增RSI/MACD/KDJ/布林/ICU均线/鳄鱼线/ADX/OBV共9个因子；新增分歧转一致检测+风控审查(risk_audit)；新增推荐追踪引擎(tracker.py)实现推荐闭环；新增多日趋势分析+假跌破检测 |\n| v2.0 | 2026-06-10 | 统一import路径、新增三层架构、新增debater.py辩论引擎、新增calc_indicators指标计算、单接口fetch_realtime独立行情获取 |\n\n## 依赖\n\n- Python 3.8+\n- 标准库（urllib、json、csv、re）\n\n## 合规声明\n\n仅提供市场数据整理与技术指标计算，**不构成任何投资建议**。投资有风险，决策需自主。\n\n## 致谢\n\n- StockBench (arXiv 2025) — LLM交易代理评估框架启发\n- TradingAgents (UCLA+MIT) — 多Agent投行模拟架构内化\n- 中国基金报 (2026-04) — 打板生态深度解析\n- QuantsPlaybook (hugo2046) — 券商金工因子库\n- 中泰证券《ICU均线下的择时策略》(2023)\n- 招商证券《基于鳄鱼线的指数择时及轮动策略》(2024)\n\nFile v2.1.0:_meta.json\n\n{\n  \"ownerId\": \"kn77debhbqfcs0ehymsrcx5mmd87wash\",\n  \"slug\": \"finbot-stock\",\n  \"version\": \"2.1.0\",\n  \"publishedAt\": 1781184743880\n}\n\nFile v2.1.0:skill-card.md\n\n## Description: <br>\nA China A-share stock-analysis skill that fetches public Sina Finance market data, calculates technical factors, frames bull and bear arguments, performs risk review, and tracks recommendation outcomes. <br>\n\nThis skill is ready for commercial/non-commercial use. <br>\n\n## Publisher: <br>\n[zhubohan190601-crypto](https://clawhub.ai/user/zhubohan190601-crypto) <br>\n\n### License/Terms of Use: <br>\nMIT-0 <br>\n\n\n## Use Case: <br>\nDevelopers and market-analysis users can use this skill to collect public A-share quote data, compute technical indicators, generate Markdown market reports, compare bull and bear cases, and maintain a local recommendation tracking loop. Outputs should be treated as decision support, not investment advice. <br>\n\n### Deployment Geography for Use: <br>\nGlobal <br>\n\n## Known Risks and Mitigations: <br>\nRisk: The skill produces advisory-style trading signals and recommendation tracking that could be mistaken for investment advice. <br>\nMitigation: Treat outputs as decision support only and independently review market data, risk tolerance, and applicable financial rules before acting. <br>\nRisk: The skill depends on public market-data endpoints, so results may be incomplete, stale, unavailable, or parsed incorrectly. <br>\nMitigation: Verify important prices, indicators, and generated reports against authoritative market sources before relying on them. <br>\nRisk: Recommendation rationales and audit or tracking files are stored locally and may contain sensitive strategy notes if users enter them. <br>\nMitigation: Do not enter secrets, brokerage credentials, or sensitive proprietary strategy text, and review local history files before sharing or retaining them. <br>\n\n\n## Reference(s): <br>\n- [ClawHub skill page](https://clawhub.ai/zhubohan190601-crypto/finbot-stock) <br>\n- [Sina Finance](https://finance.sina.com.cn) <br>\n\n\n## Skill Output: <br>\n**Output Type(s):** [text, markdown, code, shell commands, configuration, guidance] <br>\n**Output Format:** [Markdown guidance with shell commands and structured JSON-style analysis results] <br>\n**Output Parameters:** [1D] <br>\n**Other Properties Related to Output:** [May create local reports, audit trails, data caches, and recommendation tracking JSON files while fetching public market data from Sina Finance.] <br>\n\n## Skill Version(s): <br>\n2.1.0 (source: server release metadata and SKILL.md frontmatter) <br>\n\n## Ethical Considerations: <br>\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment. <br>\n\nArchive v2.0.0: 7 files, 13613 bytes\n\nFiles: reports/brief_20260610_2047.md (1219b), scripts/analyzer.py (13756b), scripts/debater.py (5786b), scripts/fetcher.py (6894b), skill-card.md (2417b), SKILL.md (3375b), _meta.json (131b)\n\nFile v2.0.0:SKILL.md\n\n---\nname: finbot-stock\ndescription: \"A股市场数据工具 v2.0 — 实时行情、技术指标、多空辩论、选股分析。数据源：新浪财经（零成本）。\"\ntags:\n  - finance\n  - china-stocks\n  - a-shares\n  - market-data\n  - stock-screening\n  - multi-agent\n  - debate-analysis\nversion: 2.0.0\n---\n\n# finbot-stock v2.0 — A股多Agent量化分析工具\n\n融合多Agent量化交易的三层架构（执行层→分析层→决策层），提供从数据采集到多空辩论的全链路支持。\n\n## 架构\n\n```\n         ┌──────────────────────────────────────┐\nLayer 3  │  决策层: debater.py                  │\n         │  多头Agent × 空头Agent → 主持人裁决    │\n         ├──────────────────────────────────────┤\nLayer 2  │  分析层: analyzer.py                 │\n         │  因子计算、技术指标、信号提取          │\n         ├──────────────────────────────────────┤\nLayer 1  │  执行层: fetcher.py                  │\n         │  实时行情、K线数据、板块数据           │\n         └──────────────────────────────────────┘\n```\n\n## 用法\n\n### Layer 1: 数据层\n\n#### 单只实时行情\n```bash\npython3 {baseDir}/scripts/fetcher.py\n```\n返回结构化数据：price、change_pct、high、low、amount_yi、volume_wan\n\n#### 批量行情\n```python\nfrom scripts.fetcher import fetch_batch\nresults = fetch_batch([\"000001\",\"000002\",\"600519\"])\n```\n\n#### 技术指标计算\n```python\nfrom scripts.fetcher import fetch_kline, calc_indicators\nkline = fetch_kline(\"300042\", \"daily\", 120)\nindicators = calc_indicators(kline)\n# 返回: ma20, ma60, deviation_ma20_pct, volume_ratio\n```\n\n### Layer 2: 分析层\n\n#### 全市场扫描\n```bash\npython3 {baseDir}/scripts/analyzer.py scan\n```\n按板块输出涨跌幅排行\n\n#### 市场简报\n```bash\npython3 {baseDir}/scripts/analyzer.py report\n```\n生成Markdown格式日报，保存到 reports/ 目录\n\n#### 单只因子分析\n```bash\npython3 {baseDir}/scripts/analyzer.py debate 300042\n```\n输出技术因子 + 多空信号计数\n\n### Layer 3: 决策层（多空辩论）\n\n#### 完整辩论流程\n```bash\npython3 {baseDir}/scripts/debater.py 300042\n```\n输出：\n- 多头论点 + 强度评分(1-10)\n- 空头论点 + 强度评分(1-10)\n- 主持人裁决（多/空/分歧）\n- 行动建议（推进/降低仓位/放弃）\n\n#### 在Cron Job中调用\n选股/收盘任务中，按以下步骤执行：\n1. `analyzer.py scan` — 数据采集\n2. `analyzer.py debate <code>` — 多空辩论\n3. AI综合分析输出\n\n## 数据源\n\n新浪财经免费行情接口。零成本，无需 API Key。\n\n## 升级日志\n\n| 版本 | 日期 | 内容 |\n|------|------|------|\n| v2.0 | 2026-06-10 | 统一import路径、新增三层架构、新增debater.py辩论引擎、新增calc_indicators指标计算、单接口fetch_realtime独立行情获取 |\n\n## 依赖\n\n- Python 3.8+\n- 标准库（urllib、json、csv、re）\n\n## 合规声明\n\n仅提供市场数据整理与技术指标计算，**不构成任何投资建议**。投资有风险，决策需自主。\n\nFile v2.0.0:_meta.json\n\n{\n  \"ownerId\": \"kn77debhbqfcs0ehymsrcx5mmd87wash\",\n  \"slug\": \"finbot-stock\",\n  \"version\": \"2.0.0\",\n  \"publishedAt\": 1781107560988\n}\n\nFile v2.0.0:reports/brief_20260610_2047.md\n\n# 📊 市场简报 | 2026-06-10 20:47\n\n## 大盘指数\n|名称|价格|涨跌幅|成交额(亿)|\n|---|---|---|---|\n|万 科Ａ|3.15|0.96%|3.73|\n|国城矿业|41.2|-2.14%|10.13|\n|深证成指|14954.101|-2.06%|13921.73|\n|*ST康佳A|2.94|-4.55%|1.18|\n|平安银行|11.32|1.71%|17.38|\n\n## 金融\n|名称|价格|涨跌幅|成交额(亿)|\n|---|---|---|---|\n|XD中信证|25.66|2.19%|44.38|\n|农业银行|6.71|1.67%|28.21|\n|招商银行|38.9|1.07%|36.33|\n|兴业银行|18.89|2.38%|25.73|\n|XD中国平|53.22|1.99%|47.79|\n\n## 科技\n|名称|价格|涨跌幅|成交额(亿)|\n|---|---|---|---|\n|东方财富|17.78|-0.56%|41.36|\n|立讯精密|65.51|-5.52%|89.07|\n|寒武纪|1231.0|-3.07%|177.72|\n|海康威视|30.38|-0.36%|13.46|\n|宁德时代|388.5|-2.75%|95.36|\n\n## 消费\n|名称|价格|涨跌幅|成交额(亿)|\n|---|---|---|---|\n|伊利股份|25.58|1.83%|12.29|\n|山西汾酒|118.79|1.66%|14.1|\n|贵州茅台|1275.88|1.58%|49.92|\n|泸州老窖|85.41|1.14%|11.0|\n|五 粮 液|79.14|0.04%|18.3|\n\n## 能源\n|名称|价格|涨跌幅|成交额(亿)|\n|---|---|---|---|\n|中国神华|47.51|-3.0%|16.35|\n|紫金矿业|27.7|-2.7%|83.86|\n|海螺水泥|18.78|-1.16%|4.22|\n|中国石化|4.78|-0.21%|8.36|\n|中国石油|10.24|-0.97%|14.22|\n\nFile v2.0.0:skill-card.md\n\n## Description: <br>\nA股市场数据工具 v2.0 — 实时行情、技术指标、多空辩论、选股分析。数据源：新浪财经（零成本）。 <br>\n\nThis skill is ready for commercial/non-commercial use. <br>\n\n## Publisher: <br>\n[zhubohan190601-crypto](https://clawhub.ai/user/zhubohan190601-crypto) <br>\n\n### License/Terms of Use: <br>\nMIT-0 <br>\n\n\n## Use Case: <br>\nDevelopers and finance-focused agents use this skill to collect China A-share market data from Sina Finance, compute technical indicators, produce market reports, and structure bull-versus-bear stock analysis. Outputs are informational and should not be treated as investment advice. <br>\n\n### Deployment Geography for Use: <br>\nGlobal <br>\n\n## Known Risks and Mitigations: <br>\nRisk: The skill can produce action-like investment guidance from market data and technical indicators. <br>\nMitigation: Treat outputs as informational only, require independent review before any trading decision, and preserve the artifact's non-investment-advice framing. <br>\nRisk: Generated trade logs and audit trails may reveal sensitive trading intent. <br>\nMitigation: Review, protect, or delete generated trade_logs and audit_trails according to the user's data handling requirements. <br>\nRisk: The skill contacts Sina Finance and depends on external market data availability and accuracy. <br>\nMitigation: Confirm market data against an authoritative source before relying on reports, rankings, or debate outputs. <br>\n\n\n## Reference(s): <br>\n- [ClawHub release page](https://clawhub.ai/zhubohan190601-crypto/finbot-stock) <br>\n- [Sina Finance](https://finance.sina.com.cn) <br>\n\n\n## Skill Output: <br>\n**Output Type(s):** [text, markdown, code, shell commands, configuration, guidance] <br>\n**Output Format:** [Markdown reports, JSON-formatted analysis, Python function results, and command-line text] <br>\n**Output Parameters:** [1D] <br>\n**Other Properties Related to Output:** [May save generated reports, audit trails, and recommendation records under the skill directory.] <br>\n\n## Skill Version(s): <br>\n2.0.0 (source: frontmatter and server release metadata) <br>\n\n## Ethical Considerations: <br>\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment. <br>\n\nArchive v1.0.0: 5 files, 7672 bytes\n\nFiles: scripts/analyzer.py (5858b), scripts/fetcher.py (6333b), skill-card.md (2280b), SKILL.md (1786b), _meta.json (131b)\n\nFile v1.0.0:SKILL.md\n\n---\nname: finbot-stock\ndescription: \"A股市场数据工具 — 实时行情、板块扫描、收盘简报、多因子选股。数据源：新浪财经（零成本，无需API Key）。不构成投资建议。\"\ntags:\n  - finance\n  - china-stocks\n  - a-shares\n  - market-data\n  - stock-screening\nversion: 1.0.0\n---\n\n# finbot-stock — A股市场数据工具\n\n一键获取A股实时行情、板块扫描、收盘简报和多因子选股评分。\n\n## 数据源\n\n新浪财经免费行情接口。零成本，无需 API Key。\n\n## 用法\n\n### 实时行情（单只）\n```bash\npython3 {baseDir}/scripts/fetcher.py\n```\n默认测试平安银行(000001)，修改 `__main__` 中的 code 参数即可。\n\n### 批量行情\n在 Python 中调用：\n```python\nfrom scripts.fetcher import fetch_batch\nresults = fetch_batch([\"000001\",\"000002\",\"600519\",\"300750\"])\n```\n\n### 市场扫描\n```bash\npython3 {baseDir}/scripts/analyzer.py --scan\n```\n输出：各板块涨跌排名、异动提醒、成交额TOP。\n\n### 收盘简报\n```bash\npython3 {baseDir}/scripts/analyzer.py --report\n```\n生成 Markdown 格式的每日市场简报，包含板块表现、异动监控。\n\n## 输出示例\n\n```\n📊 阿不 市场扫描 | 2026-06-02\n============================================================\n📍 科技 (10只)\n   🔴 寒武纪(688256): 1300.0 +5.01%\n   🔴 立讯精密(002475): 74.0 +4.65%\n\n💰 成交额TOP\n   立讯精密: ¥167.48亿  4.65%\n   宁德时代: ¥167.19亿  3.28%\n```\n\n## 合规声明\n\n本工具仅提供市场数据整理与展示，**不构成任何投资建议**。所有数据来源于公开免费接口，使用时请自行核实。投资有风险，决策需自主。\n\n## 依赖\n\n- Python 3.8+\n- 无需第三方包（仅使用标准库 urllib、json、csv、re）\n\n## 授权\n\nMIT\n\nFile v1.0.0:_meta.json\n\n{\n  \"ownerId\": \"kn77debhbqfcs0ehymsrcx5mmd87wash\",\n  \"slug\": \"finbot-stock\",\n  \"version\": \"1.0.0\",\n  \"publishedAt\": 1780416560320\n}\n\nFile v1.0.0:skill-card.md\n\n## Description: <br>\nA股市场数据工具，用于实时行情、板块扫描、收盘简报和多因子选股，数据源为新浪财经免费接口且不构成投资建议。 <br>\n\nThis skill is ready for commercial/non-commercial use. <br>\n\n## Publisher: <br>\n[zhubohan190601-crypto](https://clawhub.ai/user/zhubohan190601-crypto) <br>\n\n### License/Terms of Use: <br>\nMIT-0 <br>\n\n\n## Use Case: <br>\nDevelopers and market-data users use this skill to fetch and summarize public A-share quotes, scan sectors, and generate daily Markdown market briefs. It is a data organization aid, not investment advice. <br>\n\n### Deployment Geography for Use: <br>\nGlobal <br>\n\n## Known Risks and Mitigations: <br>\nRisk: Market-data summaries and screening output could be mistaken for investment advice. <br>\nMitigation: Treat the skill as a public market-data helper, independently verify outputs, and make investment decisions outside the skill. <br>\nRisk: The skill contacts Sina Finance and can create local Markdown reports or optional CSV snapshots. <br>\nMitigation: Review network access expectations and generated files before running it in controlled environments. <br>\nRisk: The advertised multi-factor selection feature appears incomplete. <br>\nMitigation: Do not rely on multi-factor screening unless the implementation is reviewed and completed. <br>\n\n\n## Reference(s): <br>\n- [ClawHub skill page](https://clawhub.ai/zhubohan190601-crypto/finbot-stock) <br>\n- [Sina Finance](https://finance.sina.com.cn) <br>\n\n\n## Skill Output: <br>\n**Output Type(s):** [text, markdown, code, shell commands] <br>\n**Output Format:** [Console summaries, Markdown reports, Python helper calls, and optional CSV snapshots] <br>\n**Output Parameters:** [1D] <br>\n**Other Properties Related to Output:** [May write local reports under reports/ and CSV snapshots under data/; fetches public market data from Sina Finance.] <br>\n\n## Skill Version(s): <br>\n1.0.0 (source: server release metadata and SKILL.md frontmatter) <br>\n\n## Ethical Considerations: <br>\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment. <br>","readmeExcerpt":"Skill: 短线手术刀 (ScalpelTrade) Owner: zhubohan190601-crypto Summary: A股短线量化分析工具 — 实时行情、9因子选股、多空辩论+风控审查、推荐追踪闭环。数据源：新浪财经+东方财富（免费行情）。 Tags: a-shares:2.2.0, china-stocks:2.2.0, debate-analysis:2.0.0, finance:2.2.0, latest:2.2.0, market-data:2.2.0, multi-agent:2.2.0, stock-screening:2.2.0 Version history: v2.2.0 | 2026-06-11T14:10:26.985Z | user v2.2统一发版: 更名+9因子+风控审查+分歧转一致+推荐追踪闭环+东方财富资金流数据源+多日趋势分析+假跌破检测 v2.1.4 | 2026-06-11T1","codeSnippets":[],"executableExamples":[{"language":"text","snippet":"┌──────────────────────────────────────────┐\nLayer 4  │  追踪层: tracker.py                      │\n         │  推荐记录 → 每日检查 → 报告生成           │\n         ├──────────────────────────────────────────┤\nLayer 3  │  决策层: debater.py                      │\n         │  多头×空头辩论 → 风控审查 → 分歧转一致检测  │\n         ├──────────────────────────────────────────┤\nLayer 2  │  分析层: analyzer.py                     │\n         │  多日趋势分析、假跌破检测、因子评分         │\n         ├──────────────────────────────────────────┤\nLayer 1  │  执行层: fetcher.py                      │\n         │  实时行情(新浪) + 资金流向(东方财富) +     │\n         │  9项技术因子(RSI/MACD/KDJ/布林/ICU等)     │\n         └──────────────────────────────────────────┘"},{"language":"bash","snippet":"python3 {baseDir}/scripts/fetcher.py"},{"language":"python","snippet":"from scripts.fetcher import fetch_batch\nresults = fetch_batch([\"000001\",\"000002\",\"600519\"])"},{"language":"python","snippet":"from scripts.fetcher import fetch_kline, calc_indicators\nkline = fetch_kline(\"300042\", \"daily\", 120)\nindicators = calc_indicators(kline)\n# 返回: ma5/10/20/60, RSI6/14, MACD+柱, KDJ, Bollinger, ICU均线(中泰2023), 鳄鱼线(招商2024), ADX, OBV"},{"language":"python","snippet":"from scripts.fetcher import eastmoney_kline, eastmoney_sector_flow\n\n# 个股基础数据（换手率、量比、市值）\ndata = eastmoney_kline(\"002842\")\n\n# 板块资金排行Top10\nsectors = eastmoney_sector_flow(10)  # 主力净流入、涨跌幅、超大单、散户"},{"language":"bash","snippet":"python3 {baseDir}/scripts/analyzer.py scan"}],"parameters":null,"dependencies":[],"permissions":[],"extractedFiles":[{"path":"SKILL.md","content":"---\nname: 短线手术刀 (ScalpelTrade)\ndescription: \"A股短线量化分析工具 — 实时行情、9因子选股、多空辩论+风控审查、推荐追踪闭环。数据源：新浪财经+东方财富（免费行情）。\"\ntags:\n  - finance\n  - china-stocks\n  - a-shares\n  - market-data\n  - stock-screening\n  - multi-agent\n  - debate-analysis\nversion: 2.2.0\n---\n\n# 短线手术刀 (ScalpelTrade) v2.2 — A股短线多因子量化分析工具\n\n专为A股短线交易设计的多Agent量化分析框架。四层架构（采集→分析→辩论→追踪），提供从数据采集到推荐闭环的全链路支持。\n\n## 架构\n\n```\n         ┌──────────────────────────────────────────┐\nLayer 4  │  追踪层: tracker.py                      │\n         │  推荐记录 → 每日检查 → 报告生成           │\n         ├──────────────────────────────────────────┤\nLayer 3  │  决策层: debater.py                      │\n         │  多头×空头辩论 → 风控审查 → 分歧转一致检测  │\n         ├──────────────────────────────────────────┤\nLayer 2  │  分析层: analyzer.py                     │\n         │  多日趋势分析、假跌破检测、因子评分         │\n         ├──────────────────────────────────────────┤\nLayer 1  │  执行层: fetcher.py                      │\n         │  实时行情(新浪) + 资金流向(东方财富) +     │\n         │  9项技术因子(RSI/MACD/KDJ/布林/ICU等)     │\n         └──────────────────────────────────────────┘\n```\n\n## 用法\n\n### Layer 1: 数据层\n\n#### 单只实时行情\n```bash\npython3 {baseDir}/scripts/fetcher.py\n```\n返回结构化数据：price、change_pct、high、low、amount_yi、volume_wan\n\n#### 批量行情\n```python\nfrom scripts.fetcher import fetch_batch\nresults = fetch_batch([\"000001\",\"000002\",\"600519\"])\n```\n\n#### 技术指标计算（v2.2 — 9个因子）\n```python\nfrom scripts.fetcher import fetch_kline, calc_indicators\nkline = fetch_kline(\"300042\", \"daily\", 120)\nindicators = calc_indicators(kline)\n# 返回: ma5/10/20/60, RSI6/14, MACD+柱, KDJ, Bollinger, ICU均线(中泰2023), 鳄鱼线(招商2024), ADX, OBV\n```\n\n#### 东方财富资金流向（v2.2 新增）\n```python\nfrom scripts.fetcher import eastmoney_kline, eastmoney_sector_flow\n\n# 个股基础数据（换手率、量比、市值）\ndata = eastmoney_kline(\"002842\")\n\n# 板块资金排行Top10\nsectors = eastmoney_sector_flow(10)  # 主力净流入、涨跌幅、超大单、散户\n```\n\n### Layer 2: 分析层\n\n#### 全市场扫描\n```bash\npython3 {baseDir}/scripts/analyzer.py scan\n```\n按板块输出涨跌幅排行（含多日趋势、假跌破检测）\n\n#### 市场简报\n```bash\npython3 {baseDir}/scripts/analyzer.py report\n```\n生成Markdown格式日报，保存到 reports/ 目录\n\n#### 市场状态检测\n```bash\npython3 {baseDir}/scripts/analyzer.py regime\n```\n判断当前市场处于牛市/熊市/震荡（均线偏离度法）\n\n#### 板块资金流向采集\n```python\nfrom scripts.analyzer import collect_sector_flow\nsf = collect_sector_flow(15)\n```\n\n### Layer 3: 决策层 — 多空辩论+风控审查\n\n#### 完整五层辩论流程（TradingAgents架构）\n```bash\npython3 {baseDir}/scripts/debater.py 002842\n```\n输出：\n- **多头论点**：均线、量能、RSI、MACD金叉、KDJ金叉、ICU均线、鳄鱼线、分歧转一致\n- **空头论点**：超买、超涨、死叉、布林上轨、OBV流出\n- **主持人裁决**：多/空/分歧\n- **风控审查**：风险等级(高/中/低)、建议仓位上限、超买/波动率警报\n- **分歧转一致信号**：缩量回调后放量突破、横盘启动、回踩支撑反弹\n\n### Layer 4: 追踪层 — 推荐闭环（v2.2 新增）\n\n#### 记录推荐\n```bash\npython3 {baseDir}/scripts/tracker.py record 002842 long 35.76 32.0 42.0 '钨涨价+分歧转一致'\n```\n\n#### 每日检查\n```bash\npython3 {baseDir}/scripts/tracker.py check\n```\n自动检查所有活跃推荐，含技术因子快照、止损/止盈触发、自动关闭\n\n#### 生成报告\n```bash\npython3 {baseDir}/scripts/tracker.py report\n```\n输出Markdown格式追踪报告，显示每只推荐标的的入场价、当前收益、RSI/MACD/ICU状态\n\n## 数据源\n\n| 数据源 | 类型 | 数据内容 | 成本 |\n|--------|------|---------|------|\n| **新浪财经** (sina) | HTTP REST | 实时行情、日K/周K/分钟K线、板块涨跌排行 "},{"path":"_meta.json","content":"{\n  \"ownerId\": \"kn77debhbqfcs0ehymsrcx5mmd87wash\",\n  \"slug\": \"finbot-stock\",\n  \"version\": \"2.2.0\",\n  \"publishedAt\": 1781187026985\n}"},{"path":"skill-card.md","content":"## Description:\n\nA股短线量化分析工具 — 实时行情、9因子选股、多空辩论+风控审查、推荐追踪闭环。数据源：新浪财经+东方财富（免费行情）。\n\nThis skill is ready for commercial/non-commercial use.\n\n## Publisher:\n\n[zhubohan190601-crypto](https://clawhub.ai/user/zhubohan190601-crypto)\n\n### License/Terms of Use:\n\nMIT-0\n\n## Use Case:\n\nExternal users and developers use this skill to collect free A-share market data, calculate short-term technical factors, generate long/short debate analysis with risk review, and track recommendation outcomes. It supports market screening and reporting workflows, not investment advice.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: Financial analysis can be incorrect or misleading, and the skill's own compliance statement says outputs are not investment advice.\n\nMitigation: Treat results as informational analysis only and require independent human review before any trading decision.\n\nRisk: Some market data is fetched over unauthenticated HTTP or public finance endpoints, which can affect integrity and availability.\n\nMitigation: Cross-check important prices, flows, and indicators against trusted market data before acting on the output.\n\nRisk: Recommendation, report, audit, and tracking files may persist strategy details locally.\n\nMitigation: Run the skill as an unprivileged user and keep generated local records in an access-controlled workspace.\n\nRisk: Untrusted stock-code strings may be passed into command-line or data-fetching workflows.\n\nMitigation: Use known stock-code formats and avoid passing untrusted or unexpected strings to the scripts.\n\n## Reference(s):\n\n- [ClawHub skill page](https://clawhub.ai/zhubohan190601-crypto/skills/finbot-stock)\n- [Sina Finance data source](https://finance.sina.com.cn)\n- [Sina K-line API endpoint](https://quotes.sina.cn/cn/api/json_v2.php)\n- [Eastmoney data source](http://data.eastmoney.com/)\n\n## Skill Output:\n\n**Output Type(s):** [text, markdown, code, shell commands, configuration, guidance]\n\n**Output Format:** [Markdown reports, JSON-like Python dictionaries, shell commands, and Python import snippets]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [May write local reports, audit logs, and tracking records under the skill directory when its scripts are executed.]\n\n## Skill Version(s):\n\n2.2.0 (source: frontmatter and server release evidence)\n\n## Ethical Considerations:\n\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment."}],"languages":[],"docsSourceLabel":"CLAWHUB","editorialOverview":"A股短线量化分析工具 — 实时行情、9因子选股、多空辩论+风控审查、推荐追踪闭环。数据源：新浪财经+东方财富（免费行情）。 Skill: 短线手术刀 (ScalpelTrade) Owner: zhubohan190601-crypto Summary: A股短线量化分析工具 — 实时行情、9因子选股、多空辩论+风控审查、推荐追踪闭环。数据源：新浪财经+东方财富（免费行情）。 Tags: a-shares:2.2.0, china-stocks:2.2.0, debate-analysis:2.0.0, finance:2.2.0, latest:2.2.0, market-data:2.2.0, multi-agent:2.2.0, stock-screening:2.2.0 Version history: v2.2.0 | 2026-06-11T14:10:26.985Z | user v2.2统一发版: 更名+9因子+风控审查+分歧转一致+推荐追踪闭环+东方财富资金流数据源+多日趋势分析+假跌破检测 v2.1.4 | 2026-06-11T1","editorialQuality":{"score":100,"threshold":65,"status":"ready","wordCount":727,"uniquenessScore":64,"reasons":[]}},"media":{"evidence":{"source":"no-media","verified":false,"confidence":"low","updatedAt":"2026-10-11T13:06:48.970Z","emptyReason":"No screenshots, media assets, or demo links are available."},"primaryImageUrl":null,"mediaAssetCount":0,"assets":[],"demoUrl":null},"ownerResources":{"evidence":{"source":"unclaimed","verified":false,"confidence":"low","updatedAt":"2026-10-11T13:06:48.970Z","emptyReason":"This page has not been claimed by the agent owner."},"hasCustomPage":false,"customPageUpdatedAt":null,"customLinks":[],"structuredLinks":{"docsUrl":null,"demoUrl":null,"supportUrl":null,"pricingUrl":null,"statusUrl":null},"customPage":null},"relatedAgents":{"evidence":{"source":"protocol-neighbors","verified":false,"confidence":"medium","updatedAt":"2026-10-11T16:03:00.322Z","emptyReason":null},"items":[{"id":"8ebccd8e-3863-4187-8355-c3f14e1f9edf","entityType":"agent","canonicalPath":"/agent/iofficeai-aionui","slug":"iofficeai-aionui","name":"AionUi","description":"Free, local, open-source 24/7 Cowork app and OpenClaw for Gemini CLI, Claude Code, Codex, OpenCode, Qwen Code, Goose CLI, Auggie, and more | 🌟 Star if you like it!","url":"https://github.com/iOfficeAI/AionUi","homepage":"https://www.aionui.com","source":"GITHUB_REPOS","protocols":["MCP","OPENCLAW"],"capabilities":[],"safetyScore":100,"overallRank":70,"updatedAt":"2026-10-09T19:11:12.944Z","createdAt":"2026-02-25T03:38:16.584Z","downloads":null},{"id":"b917f68a-ebff-438e-84f8-3f4b2494c0bc","entityType":"agent","canonicalPath":"/agent/activepieces-activepieces","slug":"activepieces-activepieces","name":"activepieces","description":"AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents","url":"https://github.com/activepieces/activepieces","homepage":"https://www.activepieces.com","source":"GITHUB_REPOS","protocols":["OPENCLAW"],"capabilities":[],"safetyScore":100,"overallRank":70,"updatedAt":"2026-04-15T02:22:12.426Z","createdAt":"2026-02-25T03:38:12.412Z","downloads":null},{"id":"5cb26759-3a39-483f-94cf-276a98c13bb8","entityType":"agent","canonicalPath":"/agent/cherryhq-cherry-studio","slug":"cherryhq-cherry-studio","name":"cherry-studio","description":"AI productivity studio with smart chat, autonomous agents, and 300+ assistants. Unified access to frontier LLMs","url":"https://github.com/CherryHQ/cherry-studio","homepage":"https://cherry-ai.com","source":"GITHUB_REPOS","protocols":["MCP","OPENCLAW"],"capabilities":[],"safetyScore":100,"overallRank":70,"updatedAt":"2026-04-11T14:38:40.986Z","createdAt":"2026-02-25T03:38:19.379Z","downloads":null},{"id":"6f6582d0-5d76-4f0f-b81d-86520247950b","entityType":"agent","canonicalPath":"/agent/copilotkit-copilotkit","slug":"copilotkit-copilotkit","name":"CopilotKit","description":"The Frontend for Agents & Generative UI. React + Angular","url":"https://github.com/CopilotKit/CopilotKit","homepage":"https://docs.copilotkit.ai","source":"GITHUB_REPOS","protocols":["OPENCLAW"],"capabilities":[],"safetyScore":100,"overallRank":70,"updatedAt":"2026-03-25T09:50:57.846Z","createdAt":"2026-02-25T03:39:14.617Z","downloads":null}],"links":{"hub":"/agent","source":"/agent/source/clawhub","protocols":[{"label":"OpenClaw","href":"/agent/protocol/openclew"}]}}}