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Found 73 Skills
For post-market review, focusing on daily review / market research / transaction summary. This Skill is mainly used in scenarios such as answering user questions, writing reports, and creating financial articles. This report generates a large amount of output and is not suitable for simple conversation scenarios. For obtaining various information and data, you can use the wind.financial.data tool with appropriate keywords or keyword combinations. After the market closes, you need to quickly review the entire day's market to understand what happened, which signals are worthy of attention, and how to respond tomorrow.
Screen and deeply analyze potential NSE multibagger stocks using a Peter Lynch-style quality, growth, valuation, and technical framework. Use when the user asks for multibagger stocks, undervalued high-growth NSE stocks, Peter Lynch-style analysis, top NSE multibagger candidates, smallcap/midcap compounders, value traps, or worst-case scenarios for high-potential stocks.
Company fundamentals via Longbridge — latest financial report KPIs (revenue / net income / EPS / ROE / margins / cash flow), YoY trends, dividend history, forward EPS consensus, analyst ratings, corporate actions. Three depth tiers (snapshot / standard / full). Triggers: "基本面", "业绩", "财报", "财务健康", "盈利能力", "营收", "净利润", "ROE", "毛利率", "分红历史", "EPS 预期", "研报评级", "業績", "財報", "財務健康", "毛利率", "分紅歷史", "fundamentals", "financials", "earnings report", "EPS forecast", "analyst rating", "ROE", "gross margin", "free cash flow", "dividend history", "company report".
Retrieve sector P/E ratios using Octagon MCP. Use when comparing company valuations to sector benchmarks, analyzing sector valuations across exchanges, and understanding market-wide valuation trends.
Every SEC filing, every XBRL fact, every insider trade — synced into a local SQLite store you can pivot, search, and watch offline. Trigger phrases: `look up an SEC filing`, `check insider trading on`, `compare quarterly financials for`, `watch SEC filings for`, `use sec-edgar`.
AI-powered stock and crypto analysis using the aipa CLI. Use this skill whenever the user asks to analyze a ticker, compare stocks, get technical analysis, or answer any financial market question about Vietnamese stocks (VIC, VCB, FPT...), cryptocurrencies (BTC, ETH...), or global assets. Also use for price action analysis, moving average analysis, support/resistance questions, sector comparison, Wyckoff analysis, or trading insights. Also handles fundamental analysis when the user explicitly asks for fundamentals, PE, ROE, NPL, CAR, valuation, or "phân tích cơ bản" — use `aipa fundamentals` commands to enrich technical analysis with financial ratios, company info, and fundamental screening/ranking. For raw price data without AI, use the aipa-data skill instead.
Under the assumption that the US dollar or a certain currency loses its reserve status and gold becomes the only anchor, deduce the 'implied gold price that the balance sheet can withstand' by dividing central bank monetary liabilities by gold reserves, and output the leverage level, gap and ranking of each country or currency.
Uses Cowork-style multi-step analysis to process deal room documents -- contracts, financials, org charts. Outputs risk assessment, term comparison, key findings, and negotiation recommendations.
Pitch-book company profile page via Longbridge — generates a professional company profile for trading materials and client presentations: positioning quadrant (market position / growth), business highlights, key financial matrix (revenue / EBITDA / net income / EPS / PE / EV), price trend description, major shareholders and management, recent catalysts. More presentation-focused and investment-banking oriented than longbridge-company-tearsheet. Triggers: "公司画像", "公司简介页", "投行公司页", "公司展示", "公司描述", "公司介绍页", "公司信息页", "公司畫像", "公司簡介頁", "投行公司頁", "pitch book", "company profile page", "company profile", "company description", "investor profile", "company slide", "company overview page", "pitch book company page".
Quickly judge the current valuation level, historical quantile, relative position among peers, and revaluation conditions of individual stocks. Suitable for scenarios such as initially judging "whether it's expensive", screening valuation positions, discussing odds and expectation requirements.
Multi-agent deep research for comprehensive market analysis using the aipa CLI. Use this skill when the user asks for deep research, thorough market analysis, sector-wide investigation, comprehensive stock comparison, or detailed financial report. This runs a supervisor → parallel workers → aggregator → reviewer pipeline that takes longer but produces more thorough results than a simple analyze. Trigger for requests like "research banking sector", "deep dive into real estate stocks", or "comprehensive market overview". Can also incorporate fundamental analysis (PE, ROE, NPL, CAR, financial ratios) via `aipa fundamentals` when the user asks for fundamental context alongside technical research.
Create professional financial charts and visualizations using Python/Plotly. Use when building Sankey diagrams (income statement flows, revenue breakdowns), waterfall charts (profit walkdowns, revenue bridges), bar charts (margin comparisons, segment breakdowns), or line charts (trend analysis, multi-company comparisons). Triggers on chart creation requests, financial visualization needs, or data presentation tasks.