🧮 Quantitative Analysis AI Skills

Use whenever a user asks to monitor, collect, validate, compare, summarize, or report Iranian financial markets, including USD/IRR or USD/Toman, EUR, AED, gold, Emami coin, Nima, USDT/Toman, crypto prices, Fear & Greed, TGJU, Nobitex, Wallex, Bitpin, or a Persian market report. Collect provenance-rich partial data, never invent missing values, and report source failures explicitly.

Manage the full lifecycle of CloudRobo assets — query repositories and catalogs, create/list/show/update/delete assets and versions, batch-delete, tag management, predefined tag discovery, Action CRUD, permission checks, marketplace search, official/community asset listing, asset lineage, and local-to-OBS import/export. Triggers include: asset import, asset export, asset version management, tag management, Action configuration, permission check, marketplace search, lineage query, repository listing, catalog listing, publication asset discovery, 资产管理, 资产导入导出, 版本管理, 标签管理, Action配置, 权限校验, 广场搜索, 血缘关系, 资产仓库, 目录查询.

AirnodeHub market skill for current briefings, prices, news, earnings, fundamentals, indicators, portfolio checks, and company snapshots via attested Airnode POSTs.

Use when grocery bills keep creeping up, when you want to know which store actually has the best prices on what YOU buy, or when deciding whether a bulk-club membership pays off — builds a personal price book from receipts (manual entry or receipt-file parsing), computes unit prices across package sizes and stores, tracks price history per item to expose shrinkflation and stealth increases, ranks stores by your-basket cost instead of generic averages, and answers bulk-buy and stock-up questions with real math (cost per serving, shelf-life breakeven, membership breakeven).

Monitors VC investor activity and deal signals on Twitter using apidojo's Tweet scraper. Triggers when the user asks to: monitor VC activity on Twitter, track what investors are tweeting about, find VCs who are actively investing in a sector on X, monitor deal flow signals from investor tweets, find investors who are looking for deals in a space, track funding announcements from VC firms on Twitter, or discover which investors are most active in a specific vertical. Returns investor handle, firm, investment thesis signals, recent activity, deal flow indicators. Ideal for startup founders fundraising, co-investors, and startup ecosystem analysts.

LLM通用反证搜索技能。围绕当前主线判断，主动寻找反例、冲突证据、翻转条件和替代路径支撑，减少单线叙事偏差。在已有主线判断后、高风险结论输出前、风险分析前使用。触发条件：需要降低幻觉和单线偏差、需要补充替代叙事证据、高风险决策前的纠偏。

A股/港股/期货量化数据查询工具。基于 Tushare Pro API，直接通过 HTTP REST 接口调用，无需 pip 和 Python 环境。用于获取中国A股/港股/期货/指数/资金流向/财务数据。

Analyze relationship between profitability and market share. Use for competitive advantage assessment, scale economies analysis, and strategy validation.

BitSoul旗下all-in-one的A股市场综合skill，提供股票筛选策略，内置上百种行业常见量化指标, 基于MOE混合因子专家模型的股票买卖点计算判断，个股风险判定，关键指标计算，数据回测，提供准确全面且免费的股票价格与股票历史信息，板块信息与相关交易数据，提供大v交易观察等信息聚合功能

What happened in the stock market over the last 30 days, as one synthesized brief: the day-by-day arc of a fear-to-greed market mood index, the month's biggest AI-clustered story themes ranked by impact, which tickers and sectors dominated the news, the sentiment and smart-money signals that accumulated, where the market stands today, and the earnings ahead. Built for deep research rather than a fast summary: every claim traces to a fetched response and carries its date and its real coverage window, so the reader can check it instead of trusting a generated answer. Works for one stock too: the month's feed filtered to a ticker plus its stock insights. Use for "last 30 days in markets", "what happened in the market this month", "what did I miss in the market", "monthly market recap", "market summary last 30 days", "deep research on the stock market", "catch me up on stocks", "catch me up on NVDA". Read-only. No trading, no purchases, no write operations, no wallet access.

股票盯盯 - 全功能智能股票监控预警系统。支持成本百分比、均线金叉死叉、RSI超买超卖、成交量异动、跳空缺口、动态止盈等7大预警规则。符合中国投资者习惯（红涨绿跌）。

Backtest crypto and traditional trading strategies against historical data. Calculates performance metrics (Sharpe, Sortino, max drawdown), generates equity...

专业级智能股票监控预警系统 V2.1。支持收盘日报自动生成、反爬虫优化(Session级UA、多数据源冗余)、成本百分比预警、均线金叉死叉、RSI超买超卖、成交量异动监控、智能错误提醒。符合中国投资者习惯（红涨绿跌）。Use when user needs stock market monitoring, pri...

Aggregates real-time crypto market data and Twitter signals into actionable alerts for traders and researchers. Use when you need to monitor price movements,...

Builds a custom fear index from ALL Polymarket markets by aggregating geopolitical escalation, falling crypto, extreme weather, and rising disease signals in...

Use this skill any time a .xlsx file is involved -- as input, output, or both. This includes: creating spreadsheets, financial models, dashboards, or trackers; reading, parsing, or extracting data from any .xlsx file; editing, modifying, or updating existing workbooks; working with formulas, charts,

Trades Polymarket prediction markets on Web3/DeFi milestones, NFT market recovery, metaverse adoption, humanoid robotics deployments, quantum computing break...

Generate high-signal, impact-driven capital market anomaly and delta reports covering both Chinese and global markets. Uses local scrapers + Brave web_search...

🐉 波龙股神量化交易系统 V2.1 — A股/期货一站式量化工作台。多因子选股 · A股回测(T+1/涨跌停) · 华鑫QMT实盘 · 文华财经期货 · 实时风控告警。搜索关键词：波龙股神、量化交易、选股、A股、期货、QMT、文华财经、回测、策略、投资、股票、炒股、量化、量化选股、自动交易、巧未来

A股K线分析工具v1.0.6 - 实时行情、技术指标(MA/MACD/RSI/布林带)、K线形态识别、量能分析(量比/换手率/量价关系)、超详细结构化分析报告、技术评分系统、明日走势预测、完整名词解释

Everything you need to build, deploy, and operate autonomous trading bots. Covers arbitrage, copy trading, signal verification, strategy marketplaces, audit...

Read and display recent trade history from local JSONL log file. Use when asked about past trades, trade recap, performance review, or to list recorded signals.

统一选股技能包，整合14种策略（ROE筛选、MACD底背离、高股息、低估值、 费雪成长股、长期低位、近期放量、趋势分析、K线形态、布林带下轨、筹码集中、 现金流质量、北向资金、股东增持、分析师目标价），支持单策略、多策略组合筛选。 触发词（精准触发，覆盖明确选股意图）： 按策略名：ROE选股、ROE筛选、MACD...

Agent workspace for researching programmatic trading strategies through generative optimization with bounded files and fixed backtesting evaluator.