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Found 170 Skills
Guide for Using RQData Data API. Used when you need to query RQData data interfaces and obtain financial data. Supports data queries for markets such as A-shares, Hong Kong stocks, futures, options, indices, funds, and convertible bonds, including HTTP API and Python API documentation.
Apply event study methodology to measure abnormal returns and cumulative abnormal returns (CAR) around corporate or market events. Use this skill when the user needs to quantify the market impact of announcements, design event and estimation windows, or when they ask 'did this event affect stock price', 'how do I calculate abnormal returns', or 'what is the market reaction to this announcement'.
HK Stock Dividend Tracker. Monitor dividend policies, dividend history, dividend yields and other metrics of Hong Kong-listed companies. Used for income investing and dividend strategy analysis.
Import transactions from CSV, OFX, or QIF bank exports and deduplicate.
A-share financial data toolkit. Provides scripts to obtain real-time A-share market quotes, financial indicators, share increases/reductions by directors, supervisors and senior executives, northbound capital flows, and macroeconomic data (LPR, CPI/PPI, PMI, social financing, M2). Used when real-time A-share market data is required to support investment analysis. All data sources are free and no API key is required.
Expert in quantitative finance, algorithmic trading, and financial data analysis using Python (Pandas/NumPy), statistical modeling, and machine learning.
Build robust backtesting systems for trading strategies with proper handling of look-ahead bias, survivorship bias, and transaction costs. Use when developing trading algorithms, validating strategies, or building backtesting infrastructure.
Analyze management's discussion of competitive landscape, market positioning, and strategic differentiation from earnings call transcripts.
Generates a full QBR narrative — revenue trend, margin trend, customer health, top opportunities and risks — as a presentation-ready PDF or deck. Accepts optional quarter and save-to arguments.
Generate professional investment reports for stocks and ETFs. Use when user requests market analysis, investment reports, stock analysis, or trading recommendations for financial instruments (SPY, AAPL, TSLA, etc.). Creates institutional-grade reports with technical indicators, AI-powered insights, charts, and investment recommendations.
An automated data exploration and visualization tool that provides a complete EDA solution from data loading to professional report generation. It supports multiple chart types, intelligent data diagnosis, modeling evaluation, and HTML report generation. Suitable for data analysis projects in fields such as healthcare, finance, e-commerce, etc.
Extract market, financial, earnings, industry, and company metrics with Firecrawl. Use when the user asks for market research, industry trends, public company data, financial comparisons, earnings research, or structured market reports.