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doramagic-skills

FEDERATED - the claims inside are not verified by this repo. The closest structural peer to fin-libraries found in the wild - 82 one-library skills in Chinese - and the only pack anywhere in this sweep with actuarial and structured-credit content: MlFinLab information bars and fractional differencing, arch/GARCH, alphalens, bt/backtrader/nautilus/qlib/LEAN, QuantLib and FinancePy day counts and schedules, XVA (CVA/DVA/FVA, SIMM), chainladder loss reserving, IFRS 9 ECL, credit scorecards and transition matrices, ABS waterfalls, Smith-Wilson EIOPA curves. Depth is unverified and the author has one star; the easytrader and nautilus skills document live-broker paths but nothing executes by default. 82 skills is roughly 4x the discovery budget. Installs disabled.

1 on GitHubMIT-0updated 1 month agofederated
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Plugin doramagic-skills from marketplace fin-skills in howard-lynn-ye/fin-skills. Commands read from the repo's manifest — 1 month ago.

What it installs

Skills (82)

  • a-stock-quant-lab

    A 股量化实验室:基于 zvt 框架的数据采集 + 因子研究 + 回测执行一站式。 覆盖 31 个场景——机构持仓、财报、指数成分、MACD/MA/量能择时。仅限中国 A 股。 version: "v6.1" blueprint_id: "finance-bp-009" compiled_at: "2026-04-20T07:34:47.524525+00:00" capability_markets: "cn-astock" capability_activities: "data-sourcing, backtesting, factor-research" sop_version: "c

  • abs-cashflow-modeling

    建模资产支持证券交易结构,模拟抵押贷款池现金流、债券分级偿还和瀑布分配,分析 tranche 收益与风险表现。。 version: "v6.1" blueprint_id: "finance-bp-076" compiled_at: "2026-04-22T13:00:28.210602+00:00" capability_markets: "global" capability_activities: "insurance-actuarial" sop_version: "crystal-compilation-v6.1

  • advanced-financial-ml

    MlFinLab 提供金融机器学习高级实现,包括信息驱动 bars(tick/volume/dollar/imbalance bars)、分数阶差分和回测工具,支持多市场因子研究与策略验证。 version: "v6.1" blueprint_id: "finance-bp-115" compiled_at: "2026-04-22T13:00:55.567727+00:00" capability_markets: "multi-market" capability_activities: "backtesting, factor-research" sop_version: "crysta

  • akshare-financial-data

    获取中国 A 股市场实时行情、历史 K 线、财务报表、基金期货等金融数据,支持股票、债券、期权等多品种数据查询。 version: "v6.1" blueprint_id: "finance-bp-079" compiled_at: "2026-04-22T13:00:30.352072+00:00" capability_markets: "cn-astock" capability_activities: "data-sourcing" sop_version: "crystal-compilation-v6.1

  • alphalens-factor-analysis

    分析alpha因子的预测能力与前向收益特征,生成分组收益、IC、换手率等报告,辅助量化策略的因子研究与事件分析。。 version: "v6.1" blueprint_id: "finance-bp-120" compiled_at: "2026-04-22T13:00:58.879278+00:00" capability_markets: "multi-market" capability_activities: "backtesting, factor-research" sop_version: "crystal-compilation-v6.1

  • aml-data-generator

    生成符合AMLSim格式的合成交易数据,将交易日志转换为用于反洗钱检测系统测试的模拟数据集,支持按银行ID分割账户、合并多源输出并生成交易网络图。 version: "v6.1" blueprint_id: "finance-bp-060" compiled_at: "2026-04-22T13:00:18.242568+00:00" capability_markets: "global" capability_activities: "regtech-compliance" sop_version: "crystal-compilation-v6.1

  • arch-garch-volatility

    用 GARCH 族模型进行波动率建模与预测,支持夏普比率统计推断和 SPA 模型比较测试,应用于全球市场风险管理。 version: "v6.1" blueprint_id: "finance-bp-124" compiled_at: "2026-04-22T13:01:01.570350+00:00" capability_markets: "global" capability_activities: "derivatives-pricing" sop_version: "crystal-compilation-v6.1

  • arcticdb-timeseries

    管理大规模时序数据存储与查询,支持十亿行级数据高效聚合,提供 DataFrame 懒加载与批量拼接,兼容 AWS S3 等多种存储后端。。 version: "v6.1" blueprint_id: "finance-bp-103" compiled_at: "2026-04-22T13:00:48.376963+00:00" capability_markets: "multi-market" capability_activities: "data-sourcing" sop_version: "crystal-compilation-v6.1

  • autogen-multi-agent

    AutoGen v0.4:asyncio actor-runtime 多智能体框架(autogen-core / autogen-agentchat / autogen-ext 三包)。 AutoGen v0.4: asyncio actor-runtime multi-agent framework (autogen-core / autogen-agentchat / autogen-ext). ⚠️ Microsoft has declared maintenance mode; new projects should use Microsoft Agent Framework (MAF

  • backtrader-event-driven

    运行经典双均线交叉策略回测,事件驱动模拟信号生成与持仓,输出 PyFolio 绩效报告。 version: "v6.1" blueprint_id: "finance-bp-086" compiled_at: "2026-04-22T13:00:35.750880+00:00" capability_markets: "multi-market" capability_activities: "backtesting, factor-research" sop_version: "crystal-compilation-v6.1

  • beancount-plaintext-ledger

    Beancount 纯文本复式记账框架,支持导入银行对账单和交易数据,自动生成资产负债表和损益表等财务报表。 version: "v6.1" blueprint_id: "finance-bp-129" compiled_at: "2026-04-22T13:01:04.739311+00:00" capability_markets: "global" capability_activities: "accounting" sop_version: "crystal-compilation-v6.1

  • browser-use-agent

    Browser-Use:把 LLM 变成网页操作员的异步 Python 库(Python 3.11+)。Agent 步循环采集 DOM + 截图 → LLM 一次调用产出 thinking / evaluation / next_goal / action[] → 经 CDP 执行。 Browser-Use: an async Python library (3.11+) that turns an LLM into a web operator. The Agent loop collects DOM + screenshot, makes one LLM call emitting thi

  • bt-portfolio-backtest

    使用 bt 框架构建和回测多策略投资组合,支持风险平价、等风险贡献、逆波动率加权等组合构建方法,以及政府债券滚动交易的模拟回测。 version: "v6.1" blueprint_id: "finance-bp-125" compiled_at: "2026-04-22T13:01:02.252610+00:00" capability_markets: "multi-market" capability_activities: "backtesting, factor-research" sop_version: "crystal-compilation-v6.1

  • ccxt-crypto-api

    CCXT 库统一封装全球主流加密货币交易所的交易 API,支持订单管理、市场行情查询、账户余额监控与自动化借贷等核心操作。 version: "v6.1" blueprint_id: "finance-bp-111" compiled_at: "2026-04-22T13:00:53.651332+00:00" capability_markets: "crypto" capability_activities: "crypto-trading" sop_version: "crystal-compilation-v6.1

  • chroma-vector-db

    Chroma 向量数据库:Rust 内核(v1.0.0+ 重写,2025-03),多语言客户端SDK。单节点用 PersistentClient(SQLite + 本地 HNSW)或 EphemeralClient(内存);分布式 / 云用 SPANN + BLOCKFILE on S3/GCS。 Chroma vector database: Rust core (v1.0.0+ rewrite, 2025-03) with multi-language client SDKs. Single-node uses PersistentClient (SQLite + local HNSW)

  • climate-esg-investing

    使用Fama-French因子模型进行气候ESG投资分析,支持月度股价数据下载、因子相关性计算、OLS回归诊断及显著性筛选,帮助用户构建因子组合和风险评估。 version: "v6.1" blueprint_id: "finance-bp-105" compiled_at: "2026-04-22T13:00:49.775031+00:00" capability_markets: "global" capability_activities: "macro-data" sop_version: "crystal-compilation-v6.1

  • credit-lgd-model

    构建并训练 LGD(违约损失率)机器学习模型,支持基于历史违约数据的信用风险量化评估与预测。 version: "v6.1" blueprint_id: "finance-bp-112" compiled_at: "2026-04-22T13:00:54.441302+00:00" capability_markets: "global" capability_activities: "credit-risk" sop_version: "crystal-compilation-v6.1

  • credit-scorecard

    基于监督学习、决策树或聚类等多种算法,自动为评分卡变量生成最优分箱边界,同时支持单调性约束和缺失值处理。 version: "v6.1" blueprint_id: "finance-bp-050" compiled_at: "2026-04-22T13:00:17.518473+00:00" capability_markets: "global" capability_activities: "credit-risk" sop_version: "crystal-compilation-v6.1

  • credit-transition-matrix

    处理信用评级转移矩阵,支持Not-Rated状态重分配、年度与月度矩阵转换、状态空间定义及数据集表征。 version: "v6.1" blueprint_id: "finance-bp-119" compiled_at: "2026-04-22T13:00:58.228711+00:00" capability_markets: "global" capability_activities: "credit-risk" sop_version: "crystal-compilation-v6.1

  • crewai-multi-agent

    CrewAI 多智能体框架:role-goal-backstory 声明智能体,sequential / hierarchical 双流程,ReAct 与 OpenAI native function-calling 双 tool 循环,统一 Memory + 5 个原生 LLM provider + Lit CrewAI multi-agent framework: role-goal-backstory agent declaration, sequential / hierarchical execution processes, dual tool-call loops (ReAct

  • cryptofeed-ws-feeds

    实时获取多个加密货币交易所的市场数据流,支持异步回调处理并将交易、行情、订单簿等数据持久化到ArcticDB时序数据库。 version: "v6.1" blueprint_id: "finance-bp-110" compiled_at: "2026-04-22T13:00:52.892309+00:00" capability_markets: "crypto" capability_activities: "crypto-trading" sop_version: "crystal-compilation-v6.1

  • cuemacro-finmarket

    金融市场回测框架,支持FX G10货币对技术指标策略回测、ArcticDB高频tick数据本地与S3云端存储、Quandl等数据源的市场数据获取与缓存。 version: "v6.1" blueprint_id: "finance-bp-108" compiled_at: "2026-04-22T13:00:51.768652+00:00" capability_markets: "multi-market" capability_activities: "portfolio-analytics" sop_version: "crystal-compilation-v6.1

  • czsc-chan-theory

    CZSC 缠论技术分析工具,支持 K 线生成、笔线段识别、分型信号提取与 A 股回测可视化。 version: "v6.1" blueprint_id: "finance-bp-091" compiled_at: "2026-04-22T13:00:38.716020+00:00" capability_markets: "cn-astock" capability_activities: "backtesting, factor-research" sop_version: "crystal-compilation-v6.1

  • daily-stock-analyzer

    基于 Qlib 的 A 股自选股智能分析系统,集成 LLM Agent ReAct 推理引擎和技术指标择时模块(MA 多头排列、乖离率阈值严进策略),自动生成每日 buy/hold/sell 指令并推送至微信。触发场景:(1) 用户要查询自选股当天的 AI 交易信号和涨跌预测;(2) 用户要获取符合 MA 多头排列且乖离率低于 5% 的可买入股票列表;(3) 用户要在收盘后自动接收个股的买卖建议和持仓诊断报告。 version: "v6.1" blueprint_id: "finance-bp-004" compiled_at: "2026-04-22T11:38:26.686045+00:0

  • darts-forecasting

    Darts 是轻量级时间序列预测库,支持多市场金融数据的确定性与概率性预测,提供协变量整合与层级聚合能力。 version: "v6.1" blueprint_id: "finance-bp-102" compiled_at: "2026-04-22T13:00:47.497902+00:00" capability_markets: "multi-market" capability_activities: "time-series-ml" sop_version: "crystal-compilation-v6.1

  • dspy-prompt-optimizer

    DSPy:把 LLM 程序写成可组合 Module + 声明式 Signature 的 Python 框架。通过 14 个 teleprompter(optimizer)从 train + dev 集自动编译 prompt 与 few-shot demo。 DSPy: a Python framework for building LLM programs as composable Modules with declarative Signatures. 14 teleprompter (optimizer) classes auto-compile prompts and few-shot

  • e2b-sandbox-runtime

    E2B:在隔离 micro-VM 里执行 AI 生成代码的云端 runtime。Python / TS SDK 通过 Connect-RPC 调用 envd 守护进程(Rust + protobuf)。 E2B: cloud-side runtime for executing AI-generated code in isolated micro-VMs. Python and TypeScript SDKs are pure RPC clients over Connect-RPC against an envd daemon (Rust + protobuf). version: "v0

  • eastmoney-api

    为 VAlpha 量化终端用户提供 A 股市场数据获取、多数据源自动切换与熔断保护,支持 Tushare/Akshare 链路 fallback,并根据积分额度自动配置请求频率限制。 version: "v6.1" blueprint_id: "finance-bp-084" compiled_at: "2026-04-22T13:00:34.071788+00:00" capability_markets: "cn-astock" capability_activities: "data-sourcing" sop_version: "crystal-compilation-v6.1

  • easytrader-cn-broker

    提供A股券商客户端自动化交易能力,支持雪球、芸享等多券商登录与交易操作封装,涵盖账户余额查询、持仓管理、委托下单及组合跟随等核心功能。 version: "v6.1" blueprint_id: "finance-bp-094" compiled_at: "2026-04-22T13:00:40.820921+00:00" capability_markets: "cn-astock" capability_activities: "backtesting, factor-research" sop_version: "crystal-compilation-v6.1

  • economic-dashboard

    提供全球宏观经济数据仪表板视图,支持多源数据本地存储、冷热数据分离存储与自动化刷新调度。 version: "v6.1" blueprint_id: "finance-bp-083" compiled_at: "2026-04-22T13:00:33.402010+00:00" capability_markets: "global" capability_activities: "macro-data" sop_version: "crystal-compilation-v6.1

  • edgar-crawler

    从 SEC EDGAR 批量抓取上市公司年报(10-K)和季报(10-Q)文件,支持按季度增量更新与本地缓存,适用于美股基本面分析和量化研究数据获取。。 version: "v6.1" blueprint_id: "finance-bp-114" compiled_at: "2026-04-22T13:00:54.950360+00:00" capability_markets: "multi-market" capability_activities: "data-sourcing" sop_version: "crystal-compilation-v6.1

  • empyrical-risk-metrics

    计算投资组合风险指标,包括年化收益率、夏普比率、索提诺比率、最大回撤和卡玛比率,支持滚动窗口统计和 NaN 数据处理,适用于多市场数据。。 version: "v6.1" blueprint_id: "finance-bp-107" compiled_at: "2026-04-22T13:00:51.147425+00:00" capability_markets: "multi-market" capability_activities: "backtesting, factor-research" sop_version: "crystal-compilation-v6.1

  • fava-beancount-viewer

    提供基于Fava/Beancount的投资组合管理能力,支持税务亏损收割优化、资产配置分析与等价证券分组识别,辅助用户制定最优卖出策略。 version: "v6.1" blueprint_id: "finance-bp-078" compiled_at: "2026-04-22T13:00:29.702985+00:00" capability_markets: "global" capability_activities: "accounting" sop_version: "crystal-compilation-v6.1

  • finance-kg-embedding

    训练动态知识图谱嵌入模型,学习时序实体关系表示,支持链接预测和时间预测任务。 version: "v6.1" blueprint_id: "finance-bp-080" compiled_at: "2026-04-22T13:00:31.071227+00:00" capability_markets: "global" capability_activities: "macro-data" sop_version: "crystal-compilation-v6.1

  • financepy-derivatives

    基于 FinancePy 框架的金融工具日期处理与定价能力,支持多国节假日日历与天数计数约定处理,生成债券和互换现金流调度,计算收益率和价格。 version: "v6.1" blueprint_id: "finance-bp-101" compiled_at: "2026-04-22T13:00:46.579380+00:00" capability_markets: "global" capability_activities: "derivatives-pricing" sop_version: "crystal-compilation-v6.1

  • financial-ratios-toolkit

    提供多市场财务分析能力,涵盖历史数据获取、财务报表解析、财务比率计算、固定收益分析、投资组合绩效评估和股票基本面筛选等核心功能。。 version: "v6.1" blueprint_id: "finance-bp-118" compiled_at: "2026-04-22T13:00:57.393924+00:00" capability_markets: "multi-market" capability_activities: "portfolio-analytics" sop_version: "crystal-compilation-v6.1

  • finrl-meta-envs

    提供多市场金融强化学习环境,支持PPO/DQN等DRL算法回测、Markowitz组合优化与实时模拟交易,适配Alpaca等券商接口。。 version: "v6.1" blueprint_id: "finance-bp-116" compiled_at: "2026-04-22T13:00:56.369548+00:00" capability_markets: "multi-market" capability_activities: "backtesting, factor-research" sop_version: "crystal-compilation-v6.1

  • finrl-rl-trading

    Use ensemble deep reinforcement learning (A2C, DDPG, PPO, TD3, SAC) to execute automated multi-market stock trading with version: "v6.1" blueprint_id: "finance-bp-061" compiled_at: "2026-04-22T13:00:18.884984+00:00" capability_markets: "multi-market" capability_activities: "backtesting, factor-resea

  • finrobot-multi-agent

    多智能体金融分析平台,支持股票研究、市场预测、财报解读与量化回测策略构建,覆盖全球市场数据分析。 version: "v6.1" blueprint_id: "finance-bp-074" compiled_at: "2026-04-22T13:00:27.479397+00:00" capability_markets: "global" capability_activities: "macro-data" sop_version: "crystal-compilation-v6.1

  • firesale-stress-test

    执行银行系统级压力测试,基于EBA 2018真实数据计算CET1比率与杠杆率,模拟firesale情景下资产负债表韧性。 version: "v6.1" blueprint_id: "finance-bp-067" compiled_at: "2026-04-22T13:00:22.380878+00:00" capability_markets: "global" capability_activities: "regtech-compliance" sop_version: "crystal-compilation-v6.1

  • freqtrade-crypto-bot

    使用 Freqtrade 框架加载多交易所 OHLCV 历史数据并进行策略回测分析。 version: "v6.1" blueprint_id: "finance-bp-085" compiled_at: "2026-04-22T13:00:34.948027+00:00" capability_markets: "multi-market" capability_activities: "backtesting, factor-research" sop_version: "crystal-compilation-v6.1

  • gs-quant-pricing

    提供年化波动率、指数加权移动平均(EMA)和指数加权标准差等量化金融指标的专业计算能力,支持维度枚举到字符串的灵活覆盖,适用于金融时间序列分析与资产定价建模。 version: "v6.1" blueprint_id: "finance-bp-020" compiled_at: "2026-04-22T13:00:16.803564+00:00" capability_markets: "unspecified" capability_activities: "finance-analytics" sop_version: "crystal-compilation-v6.1

  • hummingbot-market-maker

    使用Hummingbot框架执行加密货币做市和套利策略,支持资金费率套利、流动性提供、价格监控等自动化交易场景。 version: "v6.1" blueprint_id: "finance-bp-096" compiled_at: "2026-04-22T13:00:42.333686+00:00" capability_markets: "crypto" capability_activities: "crypto-trading" sop_version: "crystal-compilation-v6.1

  • ifrs9-loss-engine

    计算IFRS 9预期信用损失(ECL),支持Vasicek单因子前瞻性调整、Kaplan-Meier生存分析计算PD及贷款摊销计划生成,满足Basel III减值合规要求。 version: "v6.1" blueprint_id: "finance-bp-062" compiled_at: "2026-04-22T13:00:19.657886+00:00" capability_markets: "global" capability_activities: "regtech-compliance" sop_version: "crystal-compilation-v6.1

  • instructor-structured-output

    Instructor:声明 Pydantic BaseModel 即可从 20 个 LLM provider 拿到类型化实例。核心是 monkey-patch(instructor.patch / from_*)拦截 create(),注入 schema-aware kwargs,tenacity 重试 + Instructor: declare a Pydantic BaseModel and receive a typed instance back from any of 20 LLM providers. Core mechanism is a monkey-patch (instru

  • insurance-actuarial-python

    使用奇异谱分析和平稳自助法对利率时间序列进行分解与统计推断,构建 NSS 曲线模型并校准利率衍生品参数。 version: "v6.1" blueprint_id: "finance-bp-064" compiled_at: "2026-04-22T13:00:20.990803+00:00" capability_markets: "global" capability_activities: "insurance-actuarial" sop_version: "crystal-compilation-v6.1

  • insurance-loss-reserving

    用 chainladder-python 做精算损失准备金估算:从历史理赔三角到 IBNR 准备金、 尾部参数拟合。支持再保险 / 巨灾 / 一般责任险多产品线。 version: "v6.1" blueprint_id: "finance-bp-063" compiled_at: "2026-04-22T13:00:20.366204+00:00" capability_markets: "global" capability_activities: "insurance-actuarial" sop_version: "crystal-compilation-v6.1

  • langchain-v1-toolkit

    LangChain v1:把 LLM、prompt、tool、retriever、parser 暴露为 Runnable,用 `|` 操作符(LCEL)组合成统一 invoke / stream / batch 接口的链。 LangChain v1: exposes LLMs, prompts, tools, retrievers, and parsers as Runnables composed via the `|` operator (LCEL) into chains with uniform invoke / stream / batch semantics. create_age

  • lean-cloud-backtest

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    获取全球股票、加密货币、外汇、大宗商品等多市场实时行情与历史数据,提供技术指标计算、宏观经济数据追踪与资产比率分析功能。。 version: "v6.1" blueprint_id: "finance-bp-097" compiled_at: "2026-04-22T13:00:43.142714+00:00" capability_markets: "multi-market" capability_activities: "data-sourcing" sop_version: "crystal-compilation-v6.1

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    验证 Frappe Lending 贷款模块核心流程,包括贷款申请创建、放款计划生成、还款处理及结清退款的自动化测试能力。 version: "v6.1" blueprint_id: "finance-bp-072" compiled_at: "2026-04-22T13:00:26.108289+00:00" capability_markets: "global" capability_activities: "credit-risk" sop_version: "crystal-compilation-v6.1

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    使用 BSM 和 Black 模型对欧式期权进行定价和 Greeks 计算,支持连续股息收益率调整。 version: "v6.1" blueprint_id: "finance-bp-127" compiled_at: "2026-04-22T13:01:03.585888+00:00" capability_markets: "global" capability_activities: "derivatives-pricing" sop_version: "crystal-compilation-v6.1

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    基于 pyfolio-reloaded 的投资组合绩效分析:一键生成 tear sheet(夏普、回撤、 年化、换手、个股往返交易、行业归因)。适用于回测后的标准化报告。 version: "v6.1" blueprint_id: "finance-bp-106" compiled_at: "2026-04-22T13:00:50.454770+00:00" capability_markets: "multi-market" capability_activities: "backtesting, factor-research" sop_version: "crystal-compilat

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    自动化投资组合再平衡与交易执行,遵循先卖后买原则,支持多市场资产配置,智能计算最低交易规模及税费。。 version: "v6.1" blueprint_id: "finance-bp-066" compiled_at: "2026-04-22T13:00:21.762032+00:00" capability_markets: "multi-market" capability_activities: "portfolio-analytics" sop_version: "crystal-compilation-v6.1

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    实现自托管式加密货币投资组合追踪,自动聚合多交易所和链上钱包资产,实时计算持仓损益并生成税务报告。 version: "v6.1" blueprint_id: "finance-bp-095" compiled_at: "2026-04-22T13:00:41.524812+00:00" capability_markets: "crypto" capability_activities: "crypto-trading" sop_version: "crystal-compilation-v6.1

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    基于20日价格动量在沪深300、沪深500与国债之间自动轮转配置,通过RQAlpha框架执行完整回测并评估组合绩效。 version: "v6.1" blueprint_id: "finance-bp-089" compiled_at: "2026-04-22T13:00:37.233732+00:00" capability_markets: "cn-astock" capability_activities: "backtesting, factor-research" sop_version: "crystal-compilation-v6.1

  • sec-edgar-tools

    从 SEC EDGAR 系统获取和解析公司监管文件,支持 SEC 文件检索、财务报表(10-K/10-Q)提取、内部人交易(Form 4)追踪及机构持仓(13F)分析。。 version: "v6.1" blueprint_id: "finance-bp-070" compiled_at: "2026-04-22T13:00:24.449859+00:00" capability_markets: "multi-market" capability_activities: "data-sourcing" sop_version: "crystal-compilation-v6.1

  • stock-pattern-screener

    使用7种技术形态检测器(杯柄、三周紧绑、高紧旗、VCP、NR7等)按确定性顺序扫描股票池,支持跨检测器评分校准与置信度聚合排序。 version: "v6.1" blueprint_id: "finance-bp-082" compiled_at: "2026-04-22T13:00:32.580572+00:00" capability_markets: "unspecified" capability_activities: "finance-analytics" sop_version: "crystal-compilation-v6.1

  • talib-technical-analysis

    通过 Python 调用 150+ TA-Lib 技术分析指标(均线、MACD、RSI、布林带等),支持多市场金融数据的技术面量化计算。 version: "v6.1" blueprint_id: "finance-bp-109" compiled_at: "2026-04-22T13:00:52.305302+00:00" capability_markets: "multi-market" capability_activities: "technical-analysis" sop_version: "crystal-compilation-v6.1

  • tensortrade-rl-env

    提供多市场回测与强化学习交易环境构建能力,支持多交易所钱包组合管理、Plotly交互式交易可视化及RL智能体训练评估。 version: "v6.1" blueprint_id: "finance-bp-130" compiled_at: "2026-04-22T13:01:05.354545+00:00" capability_markets: "multi-market" capability_activities: "backtesting, factor-research" sop_version: "crystal-compilation-v6.1

  • tqsdk-futures-api

    TqSdk 是中国期货市场的实时行情获取与策略回测框架,支持期权定价模型构建和波动率因子分析,可用于网格交易、目标仓位管理等量化场景。。 version: "v6.1" blueprint_id: "finance-bp-069" compiled_at: "2026-04-22T13:00:23.700958+00:00" capability_markets: "cn-astock" capability_activities: "backtesting, factor-research" sop_version: "crystal-compilation-v6.1

  • trading-agents-cn

    基于 LLM 的 A 股多智能体交易分析框架,支持批量选股对比、回测信号生成和因子研究,自带 OpenAI 兼容 API 适配器模板。 version: "v6.1" blueprint_id: "finance-bp-099" compiled_at: "2026-04-22T13:00:44.877519+00:00" capability_markets: "cn-astock" capability_activities: "backtesting, factor-research" sop_version: "crystal-compilation-v6.1

  • vectorbt-vectorized

    基于 VectorBT 框架的向量化回测与因子研究工具,支持多市场数据批量回测、策略参数优化和统计套利分析。 version: "v6.1" blueprint_id: "finance-bp-092" compiled_at: "2026-04-22T13:00:39.474430+00:00" capability_markets: "multi-market" capability_activities: "backtesting, factor-research" sop_version: "crystal-compilation-v6.1

  • vnpy-futures-trading

    VeighNa(原vnpy)支持中国期货自动交易执行,集成日盘/夜盘交易时段管理,并提供CSI300成分股数据下载及Alpha101/LightGBM等因子研究工作流。。 version: "v6.1" blueprint_id: "finance-bp-081" compiled_at: "2026-04-22T13:00:31.772009+00:00" capability_markets: "cn-astock" capability_activities: "backtesting, factor-research" sop_version: "crystal-compilation

  • xalpha-fund-tool

    xalpha 支持多市场基金组合分析,实现 A/C 份额成本比较、可转债估值、组合业绩归因及基金相关性分析。 version: "v6.1" blueprint_id: "finance-bp-068" compiled_at: "2026-04-22T13:00:23.002206+00:00" capability_markets: "multi-market" capability_activities: "portfolio-analytics" sop_version: "crystal-compilation-v6.1

  • yfinance-market-data
  • zipline-daily-backtest
View source on GitHub

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FEDERATED - the claims inside are not verified by this repo. 501 engineering-grade trading skills - point-in-time backtest schemas, universe look-ahead, alt-data availability lag, ML against transaction costs, adjusted-vs-unadjusted prices, backtest determinism and audit trails, broker idempotency and failover, exchange FIX specs (ASX, B3, Bursa, BIST, Cboe), regulatory gates and a key-scope audit skill. Its README claims 458 of 501 cite a primary source; it is clearly LLM-generated at scale and the depth is unverified. Upstream splits these into per-domain plugins, but its root manifest exposes all 501 at once - roughly 25x the discovery budget, which is yours to spend since it installs disabled. No credentials in the skills; nothing executes. Installs disabled.

200 skills

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FEDERATED - the claims inside are not verified by this repo. FTShare's official one-endpoint-per-skill data catalogue for the Chinese market: A/HK/US quotes and K-lines, 可转债 including SZSE declaration snapshots, ETF PCF and IOPV, 龙虎榜, block trades, margin balances, executive holdings, the ChinaBond yield curve, the CPI/PPI/PMI/LPR/M2/credit macro series and news-sentiment factors. FTSHARE_API_KEY in the environment (a free tier exists per the launch article); read-only. Be deliberate: 215 sub-skills is roughly 10x the ~20-skill discovery budget, so treat it as a catalogue to enable for a session, not a standing install - it arrives disabled and the budget is yours to spend. Installs disabled.

200 skills

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FEDERATED - the claims inside are not verified by this repo. The deepest IFRS/GAAP pack in this sweep that also validates cleanly: IFRS 9 expected credit loss, IFRS 16 leases, IAS 12 deferred tax, revenue recognition, consolidation, SOX, forensic accounting, insurance reserving, WACC, LBO, treasury and Basel banking compliance, with an eval harness in the repo. Outside this library's quant core and overlapping the banking-regulatory entry on Basel and IFRS 9. Optional Stripe/Plaid connectors; nothing executes. Installs disabled.

48 skills · 52 commands

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FEDERATED - the claims inside are not verified by this repo. HKUDS' 33k-star trading agent, taken for its skill tree alone - the richest algorithm content this sweep found: the Kakushadze 101, GTJA 191 and Qlib 158 alpha zoos, factor IC/IR research, execution models (square-root impact, VWAP/TWAP), microstructure (VPIN, Kyle's lambda, Amihud), SABR and local-vol options, convertible bonds, credit, Brinson attribution, GARCH/ADF and a Pine/vnpy exporter. The skills are coupled to the app's data router and Python toolkit, so test them standalone before trusting them; data keys go in a .env, and live orders are reachable only through a separate gated connector with a kill switch, not from these skills. 90 skills is about 4.5x the discovery budget. Installs disabled.

91 skills

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FEDERATED - the claims inside are not verified by this repo. The maintained superset of geeksfino-finskills, 107 skills across China, Hong Kong and US directories: A+H premium, block deals, 龙虎榜, pledge risk, goodwill, 解禁 unlocks, margin risk, factor crowding, event studies, valuation regimes, and HK southbound, currency and liquidity monitors. Free data sources; nothing executes. Two caveats - it has been idle since February 2026, and 107 skills is roughly 5x the discovery budget, which is yours to spend since it installs disabled. Installs disabled.

79 skills

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FEDERATED - the claims inside are not verified by this repo. 74 skills: breadth, follow-through-day and distribution-day detectors, PEAD/VCP/CANSLIM screeners, earnings, exposure and drawdown gates, trade journaling, JP dividend tax. 3.7x the default listing budget; several skills require a paid FMP key; discretionary technical analysis; its backtest skill has walk-forward but no multiple-testing correction. Installs disabled.

74 skills · 2 commands · 2 agents

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