Bulk PR reviewer for awesome-quant. Use when the user asks to review all open PRs, review unreviewed PRs, bulk review, or mentions "bprr". Reviews open PRs lacking the reviewed label and presents a summary before any merge/comment/label action.
Single PR reviewer for awesome-quant. Use when the user asks to review, validate, comment on, label, close, or merge one specific pull request that adds README.md entries. Triggers include "sprr", "review PR", "check PR", and "validate contribution".
Refresh tracked PyPI last-updated dates in awesome-quant README.md. Use when the user asks to update PyPI dates, refresh PyPI metadata, or run update-pypi-dates.
A command-line guide for querying fund information, including profiles, managers, holdings, prices, returns, financial data, news, and exchange-traded fund snapshots. A command-line tool is a program controlled by typed terminal commands.
A command-line tool entry for retrieving ordinary Chinese A-share market data, including snapshots, historical price bars, trading calendars, adjustment factors, and company actions.
A Python toolkit for retrieving and calculating United States and Hong Kong stock-market data from public sources, including prices, company finances, options, filings, and indicators.
Create professional equity research earnings update reports (8-12 pages, 3,000-5,000 words) analyzing quarterly results for companies already under coverage. Fast-turnaround format focusing on beat/miss analysis, key metrics, updated estimates, and revised thesis. Includes 1-3 summary tables and 8-12 charts. Use when…
Build pre-earnings analysis with normalized baselines, weighted decision models, company-specific veto gates, scenario frameworks, catalysts, historical reactions, and options-implied moves. Use before a company reports quarterly earnings to prepare positioning notes or bilingual three-page PDF reports.
A real-time market-data API for foreign exchange, metals, indexes, stocks, and cryptocurrencies. An API is a service that software can call to request data.
Quotes, fundamentals, insider, analyst ratings, earnings estimates, financial summary, income/balance/cashflow detail y company profile (delayed 15-20min). 30K+ stocks US y ADRs globales. Sin API key.
Datos de mercado de TradingView via APIs publicas internas sin auth: Scanner (300 columnas con quote/indicadores tecnicos/financials/earnings/ratings/targets), Symbol Search v3 (ISIN/CUSIP/CIK), News Headlines, scraping HTML de subpages (technicals/financials/forecast/options/ideas). Cobertura GLOBAL: 100k+ stocks…
A tool for retrieving financial statements, stock prices, and company details for companies listed in mainland China. It uses AkShare's real-time data sources.
A collection of tools for retrieving financial and economic data from Chinese, Hong Kong, and United States markets. It covers items such as stock lists, prices, charts, company financial statements, funds, indexes, bonds, news, and macroeconomic data.
A tool for retrieving daily valuation data for major Chinese A-share market indexes, such as price-to-earnings ratios, market value, and closing levels.
A lookup for daily valuation figures on Chinese A-share stocks, such as price-to-earnings, price-to-book, market value and closing price. It can return one stock, a date range, one trading day, or the whole market.
Fetch financial data from EODHD API — historical prices, fundamentals, options, technical indicators, news, sentiment, macro indicators, corporate events, ESG scores, risk analytics, bank data, US Treasury rates, and trading hours. Use when the user asks for stock prices, company fundamentals, financial analysis…
Screen stocks by fundamental and technical criteria using the EODHD screener — market cap, P/E, dividend yield, sector, exchange, and signals, with currency- aware thresholds. Invoke as /eodhd-screen .
Screen stocks by fundamental and technical criteria using EODHD screener — filter by market cap, P/E, dividend yield, sector, signals, and more. Use when the user wants to find stocks matching specific criteria.
A research workflow for examining an A-share company’s major shareholders and institutional holdings. It compares ownership structure, changes in holdings, concentration, and possible investor behavior.
A connection between Python strategy files and TdxQuant, TongdaXin's platform for securities data analysis and quantitative investment research. It uses the platform's tqcenter.py module to interact with the TongdaXin client.