analysis▌

Role: Alternative Data & Sentiment Analyst

Comprehensive fundamental, technical, and comparative analysis of US stocks with real-time market data and investment reports. \n \n Supports four analysis types: basic stock info, fundamental analysis (financials, valuation, business quality), technical analysis (indicators, chart patterns, support/resistance), and comprehensive investment reports \n Fetches current market data via web search across Yahoo Finance, SEC filings, earnings reports, and technical data sources \n Generates side-by-si

Survival analysis studies time until an event occurs, handling censored data where events haven't happened for some subjects, enabling prediction of lifetimes and risk assessment.

Use this skill when:

Extract and document a writer's distinctive voice patterns for consistent reproduction. Creates a "voice guide" that enables authentic writing that sounds like the source, not a generic approximation.

Consulting-grade research reports across market analysis, financial analysis, competitive intelligence, and strategic planning. \n \n Operates in two phases: Phase 1 generates a structured analysis framework with chapter skeleton, data requirements, and visualization plans; Phase 2 synthesizes collected data into a polished final report \n Selects from 20+ professional frameworks (SWOT, Porter's Five Forces, TAM-SAM-SOM, Consumer Decision Journey, DuPont Analysis, Blue Ocean Strategy, etc.) matc

Execute comprehensive network traffic analysis using Wireshark to capture, filter, and examine network packets for security investigations, performance optimization, and troubleshooting. This skill enables systematic analysis of network protocols, detection of anomalies, and reconstruction of network conversations from PCAP files.

Dataset exploration, cleaning, statistical analysis, and visualization in Python or SQL. \n \n Supports CSV, JSON, and SQL data sources with pandas DataFrames and direct database queries \n Covers the full analysis pipeline: data loading, missing value handling, outlier detection, grouping, correlation analysis, and pivot tables \n Includes visualization templates for histograms, boxplots, heatmaps, and time series using matplotlib and seaborn \n Generates structured markdown reports with datase

Value-investing analysis tool for Chinese A-shares with stock screening, deep financial analysis, and valuation modeling. \n \n Four core modules: stock screener (filter by PE, ROE, dividend yield, debt ratio), financial analyzer (profitability, growth, cash flow trends), industry comparator (peer benchmarking), and valuation calculator (DCF, DDM, relative valuation methods) \n Automated financial anomaly detection flags suspicious patterns in receivables, cash flow divergence, inventory buildup

LLM-powered daily stock analysis across A-shares, Hong Kong, and US markets with technical indicators and AI-driven signals. \n \n Analyzes multiple markets (A-shares, Hong Kong, US stocks) with technical indicators including moving averages, MACD, RSI, and bias rate \n Generates trend status, buy signal scores, and AI-driven operation advice with target prices and stop-loss levels \n Supports batch analysis of multiple stocks and optional integration with market-data skill for enhanced data sta