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longbridge-chanlun

缠论形态识别——自动检测顶底分型、笔(上升笔/下降笔)、线段、中枢,生成一买/二买/三买/一卖/二卖/三卖信号。依赖 czsc 库。Triggers: "缠论", "分型", "笔", "中枢", "线段", "一买", "二买", "三买", "一卖", "二卖", "三卖", "缠中说禅", "缠师", "纏論", "分型", "筆", "中樞", "線段", "一買", "二買", "三買", "一賣", "二賣", "三賣", "chanlun", "chan theory", "bi", "zhongshu", "buy point", "sell point", "fractal top bottom", "Chan theory".

DeepseekModel Curated skill Quality Excellent · 90 v1.0.0

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https://deepseekmodel.com/api/download.php?id=majiayu000-claude-skill-registry-skills-analysis-longbridge-chanlun-skill-md&format=skill
Download .skill Standard format with system_prompt and model_config, ready for any agent framework
The actual content of the system_prompt field in the .skill file.
name longbridge-chanlun description 缠论形态识别——自动检测顶底分型、笔(上升笔/下降笔)、线段、中枢,生成一买/二买/三买/一卖/二卖/三卖信号。依赖 czsc 库。Triggers: "缠论", "分型", "笔", "中枢", "线段", "一买", "二买", "三买", "一卖", "二卖", "三卖", "缠中说禅", "缠师", "纏論", "分型", "筆", "中樞", "線段", "一買", "二買", "三買", "一賣", "二賣", "三賣", "chanlun", "chan theory", "bi", "zhongshu", "buy point", "sell point", "fractal top bottom", "Chan theory". license MIT metadata {"author":"longbridge","version":"1.0.0","risk_level":"read_only","requires_login":false,"default_install":true,"requires_mcp":false,"tier":"read"} longbridge-chanlun 缠论(Chan Theory)形态识别引擎:基于 OHLCV 日线数据,自动检测顶底分型、笔、线段、中枢,并生成一买/一卖、二买/二卖、三买/三卖信号。 Requirements ⚠️ 额外依赖 / Extra dependency required 此 skill 依赖第三方 Python 库 czsc ,使用前需手动安装: pip install czsc 若环境无法安装,LLM 将回退到手动实现基础分型逻辑(精度较低)。 This skill requires the czsc Python library. Install it before use: pip install czsc Response language : match the user's input language — Simplified Chinese / Traditional Chinese / English. When to use 用户询问缠论相关分析: "AAPL.US 缠论分析" 、 "700.HK 现在在哪个买点" 、 "帮我看看 TSLA 的中枢" 识别分型(顶分型/底分型)、笔(上升笔/下降笔)、线段结构 判断当前买卖点类型(一买/二买/三买/一卖/二卖/三卖) 用户提到"缠中说禅"、"缠师"、"缠论买点"等关键词 Workflow 从用户输入提取标的代码,标准化为 <CODE>.<MARKET> 格式。 获取日线 OHLCV 数据(300 根 K 线): longbridge kline <SYMBOL> --period day --count 300 --format json 将 JSON 数据转换为 czsc 所需的 RawBar 列表格式(字段: dt , open , high , low , close , vol )。 使用 czsc 库解析缠论结构: import czsc from czsc import CZSC # bars: list of czsc.RawBar c = CZSC(bars) # 分型: c.fx_list # 笔: c.bi_list # 线段: c.seg_list (if available) # 中枢: c.zs_list (if available) 读取最近的笔序列和中枢,匹配买卖点逻辑: 一买 :下降笔触及中枢下沿后出现底分型 二买 :中枢震荡后上升笔回撤不破中枢低点出现底分型 三买 :突破中枢上沿后回调不破中枢高点出现底分型 卖点逻辑对称(一卖/二卖/三卖) 输出分析结论:当前所处买卖点、最近中枢区间、最近分型位置。 若环境未安装 czsc,提示用户先运行 pip install czsc ,然后重试。 若不确定 CLI 参数,先运行 longbridge kline --help 查看最新参数。 CLI # 获取日线数据(主要数据源) longbridge kline AAPL.US --period day --count 300 --format json # 若需更短周期辅助判断(可选) longbridge kline 700.HK --period week --count 100 --format json Output 以自然语言呈现,包含: 当前买卖点 :一买 / 二买 / 三买 / 一卖 / 二卖 / 三卖(或"暂无明确信号") 最近中枢区间 :[中枢低点, 中枢高点](含价格) 最近分型 :类型(顶/底)+ 价格 + 日期 最近笔 :方向(上升/下降)+ 起止价格 数据来源 :Longbridge Securities / 数据来源:长桥证券 / 數據來源:長橋證券 Error handling 情形 简体回复 繁體回覆 / English command not found: longbridge 尝试 MCP fallback;否则请安装 longbridge-terminal 嘗試 MCP fallback;否則請安裝 longbridge-terminal / Try MCP fallback; otherwise install longbridge-terminal stderr 含 not logged in 请运行 longbridge auth login 請運行 longbridge auth login / Run longbridge auth login Python 环境缺少 czsc 请运行 pip install czsc 后重试 請運行 pip install czsc 後重試 / Run pip install czsc then retry czsc 版本不兼容 请运行 pip install --upgrade czsc 請運行 pip install --upgrade czsc / Run pip install --upgrade czsc 其他 stderr 原样返回错误,不静默重试 原樣返回錯誤,不靜默重試 / Surface verbatim, never retry silently MCP fallback 若 CLI 不可用且已配置 MCP: When the CLI is unavailable, fall back to the MCP server. Discover available tools from the MCP server's tool list at runtime — do not rely on hardcoded tool names. Related skills 用户询问 路由至 实时股价/行情 longbridge-quote K线图/历史价格 longbridge-kline 艾略特波浪 longbridge-elliott 谐波形态 longbridge-harmonic 聪明钱/SMC longbridge-smc 资金流向 longbridge-capital-flow File layout longbridge-chanlun/ └── SKILL.md
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The downloaded .skill package contains the following fields.
Field Description
formatFormat tag (skill/v1)
skill_idUnique skill ID
nameSkill name
versionVersion
descriptionDescription
categoryCategories (array)
trigger_wordsTrigger words
tagsTags
sourceSource
source_urlSource URL (this page)
exported_atExported at (set per download)
system_promptSystem prompt body
model_configModel config: provider / model / temperature / max_tokens / top_p
examplesExamples
install_guideImport guide for Coze / Dify / Claude / custom frameworks
The same skill can be exported in different platform formats.
.skill Standard format with system_prompt and model_config, ready for any agent framework Download
.skillpro Enhanced format with scripts, tools, dependencies and hooks Download
.json Plain JSON export with system_prompt and model parameters only Download
Coze Markdown with frontmatter, for Coze platform import Download
Dify Dify DSL, import directly after creating an app Download

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