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Scraper de Finviz: datos fundamentales, técnicos, insider trading, news y screener para acciones US. Sin API oficial.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
History of Market (historyofmarket.com) — API publica con 88 datasets historicos de indices US desde 1871. S&P 500 (price, CAPE, EPS, drawdowns, changes, constituents), Nasdaq Composite/Nasdaq 100 (price, volatility, VXN, changes), Dow Jones, SOX/SMH, sector ETFs (XLK, XLF), Magnificent 7 y macro. Sin API key, CORS libre, CC BY 4.0.
API no oficial de Yahoo Finance: precios, históricos, fundamentales, opciones, noticias en JSON puro sin wrappers.
Construcción y optimización cuantitativa de portafolios: Markowitz (scipy.optimize + Monte Carlo), Black-Litterman (prior CAPM, views absolutas/relativas, posterior bayesiano), HRP/HERC/NCO (clustering jerárquico, risk parity, NCO con restricciones). Todo flat numpy + scipy, sin Riskfolio-Lib ni PyPortfolioOpt.
Trading API de Primary (Matba ROFEX): futuros, opciones, acciones, bonos. Órdenes, posiciones, cuenta, market data.
Academic backtesting framework for quantitative research. ~30 risk and performance ratios, 10 classes of indicators, event-driven engine with 6+ strategies, MPT optimizer, forward-looking simulation with Johnson SU + t-Copula, walk-forward CV, stress testing, fundamental analysis (Altman Z, Piotroski, DuPont). All flat Python + numpy.
Pricing completo de opciones europeas y americanas. 9 metodos: Black-Scholes, Binomial CRR, Trinomial, Monte Carlo (antithetic) + Longstaff-Schwartz, Bjerksund-Stensland 2002 / BAW (American closed-form), Heston 1993 (vol estocastica, sonrisa via Fourier), Bates 1996 (Heston + Merton jumps, crash risk), greeks (BS), implied vol, P(ITM) y P(Profit). Disenado para backtesting: cada funcion es flat Python vectorizado con numpy (sin abstracciones), usa math.erfc (no scipy). BS 2.4 us/op, BS2 3.6 us, Heston 400 us, Binomial N=500 5.6 ms. CLI con 15 modos mas validate y bench. Time complexity O(1) para todos los closed-form.
| name | finviz |
| description | Scraper de Finviz: datos fundamentales, técnicos, insider trading, news y screener para acciones US. Sin API oficial. |
| license | MIT |
Scraper de Finviz que extrae datos fundamentales (P/E, EPS, PEG, márgenes, etc.), técnicos (RSI, MACD, SMA, ATR), insider trading, noticias y screener para acciones del mercado US.
Finviz no tiene API pública oficial. Este skill scrapea el HTML de las páginas públicas usando requests + BeautifulSoup.
pip install requests beautifulsoup4
| Script | Descripción |
|---|---|
| fetch_quote.py | Extrae perfil, fundamentales, técnicos, noticias e insider trading de un ticker. |
# Fetch completo de un ticker
python scripts/fetch_quote.py --ticker AAPL
# Solo fundamentales
python scripts/fetch_quote.py --ticker AAPL --fields fundamentals
# Output a archivo JSON
python scripts/fetch_quote.py --ticker MSFT --output msft_data.json
# Múltiples tickers
python scripts/fetch_quote.py --ticker AAPL,MSFT,GOOGL
# Headlines de noticias (default: 5)
python scripts/fetch_quote.py --ticker NVDA --news-headlines 10
| Campo | Descripción |
|---|---|
Market Cap | Capitalización de mercado |
P/E | Price-to-Earnings ratio |
Forward P/E | Forward P/E |
PEG | PEG ratio |
P/S | Price-to-Sales |
P/B | Price-to-Book |
EPS (ttm) | Earnings Per Share (trailing 12 months) |
EPS next Y | Estimated EPS next year |
Sales | Revenue |
Profit Margin | Profit margin |
ROE | Return on Equity |
ROA | Return on Assets |
Debt/Eq | Debt-to-Equity |
Dividend % | Dividend yield |
Insider Own | Insider ownership |
Instit Own | Institutional ownership |
Short Float | Short float percentage |
Target Price | Analyst target price |
Rating | Analyst rating |
| Campo | Descripción |
|---|---|
RSI (14) | Relative Strength Index |
SMA 20 | Simple Moving Average 20d |
SMA 50 | Simple Moving Average 50d |
SMA 200 | Simple Moving Average 200d |
MACD | MACD value |
ATR | Average True Range |
BB | Bollinger Bands midpoint |
Volatility | Volatility |
Beta | Beta |
skills/finviz/
├── SKILL.md # Este archivo
├── references/
│ └── QUOTE_REFERENCE.md # Referencia de campos extraídos
└── scripts/
└── fetch_quote.py # Scraper principal