Total 50,504 skills, Data Processing has 2560 skills
Showing 12 of 2560 skills
Stress-test financial plans across scenarios (bull/bear/base), sensitivity tables, and Monte Carlo-style analysis. Use when evaluating financial assumptions, modeling risk scenarios, or building scenario-based financial plans.
What tokens are whales dollar-cost averaging into? Jupiter DCA strategies by smart money and target token fundamentals.
What tokens is smart money accumulating before they pump? Token screener with SM filter cross-referenced against netflow.
Is this token held by quality wallets or retail noise? SM holder ratio, flow breakdown by label, and recent buyer quality.
Build professional financial services data packs from various sources including CIMs, offering memorandums, SEC filings, web search, or MCP servers. Extract, normalize, and standardize financial data into investment committee-ready Excel workbooks with consistent structure, proper formatting, and documented assumptions. Use for M&A due diligence, private equity analysis, investment committee materials, and standardizing financial reporting across portfolio companies. Do not use for simple financial calculations or working with already-completed data packs.
Smart database query skill. Connect to online databases via SSH tunnel, supporting natural language to SQL conversion, query execution, and table structure exploration. Use this skill when you need to query databases, ask about data, or view table structures.
Manages financial risks through quantitative analysis, modeling, and mitigation strategies.
Extract structured data from websites. Use when: collecting competitor pricing; scraping product listings; extracting contact information; gathering research data; monitoring website changes
Build institutional-grade comparable company analyses with operating metrics, valuation multiples, and statistical benchmarking in Excel/spreadsheet format. **Perfect for:** - Public company valuation (M&A, investment analysis) - Benchmarking performance vs. industry peers - Pricing IPOs or funding rounds - Identifying valuation outliers (over/under-valued) - Supporting investment committee presentations - Creating sector overview reports **Not ideal for:** - Private companies without comparable public peers - Highly diversified conglomerates - Distressed/bankrupt companies - Pre-revenue startups - Companies with unique business models
Implement analytics, data analysis, and visualization best practices using Python, Jupyter, and modern data tools.
A-share Value Investment Analysis Tool, providing stock screening, in-depth individual stock analysis, industry comparison and valuation calculation functions. Based on value investment theory, it uses tushare to obtain public financial data, suitable for ordinary investors with low-frequency trading.
Эксперт SQL window functions. Используй для аналитических запросов, OVER clauses и ranking functions.