Nasdaq Data

Q: Why use Nasdaq Data on TypingMind?

Because you install it once and use it with any model. Nasdaq Data is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

Q: How do I install Nasdaq Data in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/gauss314/skills/tree/main/skills/nasdaq-data. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Q: Which AI models can use Nasdaq Data?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

Q: How many AI models can I use with Nasdaq Data?

As many as you like. As long as a model supports skills, you can use Nasdaq Data with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Q: Is the Nasdaq Data AI skill free?

Yes. It is published on GitHub by gauss314 under the MIT license. You only pay your own AI provider for the tokens you use.

Q: What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

Q: How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

Community

gauss314

nasdaq-data

Scraper de datos de Nasdaq.com via API REST interna: cotizaciones, short interest, financials, institutional holdings, opciones, noticias. Sin API key.

Overview

Publisher	gauss314
Repository	`skills`
Skill name	`nasdaq-data`
Stars	250
Forks	35
Bundled files	2
License	MIT
Links	Skill source Repository

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
2 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by gauss314 on GitHub. Read the source before you install it.

Installation

Install the Nasdaq Data AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/gauss314/skills/tree/main/skills/nasdaq-data
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/gauss314/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/skills/nasdaq-data .claude/skills/nasdaq-data

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Nasdaq Data in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Nasdaq Data on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Nasdaq Data is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Nasdaq — Datos de Mercado via API Interna

Skill para extraer datos de Nasdaq.com usando sus APIs REST internas — sin API key, sin autenticacion, sin rate limiting agresivo.

⚠️ Aviso Legal

Nasdaq no tiene API publica oficial gratuita. Estos endpoints son internos y pueden cambiar sin aviso.
Implementar rate limiting (minimo 0.3s entre requests).
Respetar los terminos de servicio del sitio.

Instalacion

El script usa requests (ya disponible en el entorno).

Scripts

Script	Descripcion
fetch_nasdaq.py	Script principal: todos los endpoints disponibles

Uso rapido

bash
# Informacion de la empresa + precio
python scripts/fetch_nasdaq.py info NVDA
python scripts/fetch_nasdaq.py info GGAL

# Short interest historico
python scripts/fetch_nasdaq.py short-interest GGAL

# Chart OHLCV (ultimo año por defecto)
python scripts/fetch_nasdaq.py chart NVDA
python scripts/fetch_nasdaq.py chart NVDA --from 2025-01-01 --to 2026-06-04

# Estados financieros (Income Statement, Balance Sheet, Cash Flow, Ratios)
python scripts/fetch_nasdaq.py financials NVDA

# Institutional holdings (13F)
python scripts/fetch_nasdaq.py institutional-holdings NVDA

# ETFs donde el stock es Top 10 Holding
python scripts/fetch_nasdaq.py holdings NVDA
python scripts/fetch_nasdaq.py holdings GGAL

# Top 10 Holdings de un ETF
python scripts/fetch_nasdaq.py etf-holdings SPY
python scripts/fetch_nasdaq.py etf-holdings QQQ

# Perfil de la empresa
python scripts/fetch_nasdaq.py company-profile AAPL

# Dividendos
python scripts/fetch_nasdaq.py dividends NVDA
python scripts/fetch_nasdaq.py eps NVDA                  # EPS histórico + upcoming

# Insider trading
python scripts/fetch_nasdaq.py insider-trades NVDA       # Summary 3/12m + transacciones
python scripts/fetch_nasdaq.py insider-trades NVDA --type buy
python scripts/fetch_nasdaq.py insider-trades NVDA --type sell
python scripts/fetch_nasdaq.py insider-trades NVDA --limit 20

# Opciones
python scripts/fetch_nasdaq.py option-chain NVDA

# Ultimas noticias
python scripts/fetch_nasdaq.py news NVDA --limit 5

# Screener de acciones
python scripts/fetch_nasdaq.py screener --exchange nasdaq --limit 10

# Screener de ETFs (4551 ETFs listados)
python scripts/fetch_nasdaq.py screener-etf --limit 5

# Calendarios globales
python scripts/fetch_nasdaq.py ipo-calendar                        # IPO upcoming (mes actual)
python scripts/fetch_nasdaq.py ipo-calendar --type spo             # SPO: secondary offerings
python scripts/fetch_nasdaq.py ipo-calendar --date 2026-05         # IPOs de Mayo 2026
python scripts/fetch_nasdaq.py ipo-calendar --type spo --date 2026-06  # SPOs de Junio 2026
python scripts/fetch_nasdaq.py earnings-calendar                   # Earnings hoy
python scripts/fetch_nasdaq.py earnings-calendar --date 2026-06-05 # Earnings de una fecha especifica
python scripts/fetch_nasdaq.py economic-calendar                   # Economic calendar (hoy)
python scripts/fetch_nasdaq.py economic-calendar --date 2026-06-04 # Economic calendar de una fecha
python scripts/fetch_nasdaq.py dividend-calendar                   # Dividendos hoy
python scripts/fetch_nasdaq.py dividend-calendar --date 2026-06-04 # Dividendos de una fecha
python scripts/fetch_nasdaq.py splits-calendar                     # Stock splits

# TODO: todos los endpoints en uno
python scripts/fetch_nasdaq.py all GGAL
python scripts/fetch_nasdaq.py all NVDA -o nvda_all.json

# Modo silencioso (solo JSON)
python scripts/fetch_nasdaq.py info AAPL -q
python scripts/fetch_nasdaq.py all MSFT -o msft.json -q

Endpoints disponibles

Modo	Data	Metodo	Endpoint Interno
`info`	Cotizacion, precio, key stats	API REST	`/api/quote/{ticker}/info`
`short-interest`	Short interest historico	API REST	`/api/quote/{ticker}/short-interest`
`chart`	OHLCV historico	API REST	`/api/quote/{ticker}/chart`
`financials`	Income Statement, BS, CF, Ratios	API REST	`/api/company/{ticker}/financials`
`institutional-holdings`	Tenencias institucionales (13F)	API REST	`/api/company/{ticker}/institutional-holdings`
`holdings`	ETFs donde el stock es Top 10 Holding	API REST	`/api/company/{ticker}/holdings`
`etf-holdings`	Top 10 Holdings de un ETF	API REST	`/api/company/{ticker}/holdings`
`company-profile`	Descripcion, sector, direccion	API REST	`/api/company/{ticker}/company-profile`
`dividends`	Dividendos	API REST	`/api/quote/{ticker}/dividends`
`eps`	EPS historico + upcoming por ticker	API REST	`/api/quote/{ticker}/eps`
`insider-trades`	Insider trading: summary 3/12m + transacciones	API REST	`/api/company/{ticker}/insider-trades`
`option-chain`	Cadena de opciones	API REST	`/api/quote/{ticker}/option-chain`
`news`	Ultimas noticias	API REST	`/api/news/topic/articlebysymbol`
`screener`	Screener de acciones	API REST	`/api/screener/stocks`
`screener-etf`	Screener de ETFs	API REST	`/api/screener/etf`
`ipo-calendar`	IPO + SPO calendar	API REST	`/api/ipo/calendar`
`earnings-calendar`	Earnings calendar con EPS	API REST	`/api/calendar/earnings`
`economic-calendar`	Economic events (actual, consensus, previous)	API REST	`/api/calendar/economicevents`
`dividend-calendar`	Dividendos (ex-date, pay-date, rate)	API REST	`/api/calendar/dividends`
`splits-calendar`	Stock splits	API REST	`/api/calendar/splits`
`all`	Todos los anteriores combinados	-	-

Flags adicionales

Flag	Descripcion
`--from YYYY-MM-DD`	Fecha inicio para chart
`--to YYYY-MM-DD`	Fecha fin para chart
`--limit N`	Limite de resultados (news, screener)
`--offset N`	Offset para paginacion (screener)
`--exchange X`	Exchange para screener (default: nasdaq)
`--type ipo\|spo\|all\|buy\|sell`	Tipo: ipo/spo (ipo-calendar) o all/buy/sell (insider-trades)
`--date YYYY-MM\|DD`	Fecha para calendarios: YYYY-MM (ipo) o YYYY-MM-DD (earnings/dividend)
`-o archivo.json`	Guardar output a archivo
`-q` / `--quiet`	Modo silencioso (solo JSON)

Rate limiting

Delay	Resultado
<0.2s	Riesgo de 429/baneo
0.3s	✅ Seguro (default en `--all`)
1s+	✅ Ideal para multiples requests

Endpoints NO disponibles via API

Los siguientes datos no tienen endpoint JSON interno y requeririan scraping HTML:

Pagina	Estado	Alternativa
Holiday Schedule	❌ No hay API interna detectada	Solo HTML
ETF Detail (AUM, fees, desc)	❌ No hay API interna	Usar `companiesmarketcap --etf TICKER`

Estructura del skill


skills/nasdaq-data/
├── SKILL.md                          # Este archivo (guia rapida)
├── references/
│   └── REFERENCE.md                  # Documentacion completa de todos los endpoints
└── scripts/
    └── fetch_nasdaq.py               # Script principal

Documentacion detallada: Consultar references/REFERENCE.md para la documentacion exhaustiva de cada endpoint, estructuras JSON, ejemplos y consideraciones tecnicas.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

references/REFERENCE.md43 KB
scripts/fetch_nasdaq.py15 KB

Frequently asked questions

What does the Nasdaq Data AI skill do?

Scraper de datos de Nasdaq.com via API REST interna: cotizaciones, short interest, financials, institutional holdings, opciones, noticias. Sin API key.

Why use Nasdaq Data on TypingMind?

Because you install it once and use it with any model. Nasdaq Data is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Nasdaq Data in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/gauss314/skills/tree/main/skills/nasdaq-data. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Nasdaq Data?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Nasdaq Data?

As many as you like. As long as a model supports skills, you can use Nasdaq Data with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Nasdaq Data AI skill free?

Yes. It is published on GitHub by gauss314 under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Nasdaq — Datos de Mercado via API Interna

⚠️ Aviso Legal

Instalacion

Scripts

Uso rapido

Endpoints disponibles

Flags adicionales

Rate limiting

Endpoints NO disponibles via API

Estructura del skill

Bundled files

Frequently asked questions

Related AI Skills

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