# AI Crawler Information for StockAlpha.ai
# https://stockalpha.ai/.well-known/ai.txt

# Site Information
Site-Name: StockAlpha.ai
Site-URL: https://stockalpha.ai
Description: Free (beta) AI-powered stock research platform for U.S. retail investors: breaking market news, daily recaps, 12-sector analysis, ticker research reports, investing education, and audio podcasts.
Language: en-US
Contact: support@jeffersonequityintelligence.com
Platform: Next.js web application

# Name Disambiguation
# StockAlpha.ai (stockalpha.ai) is a U.S. AI stock-research site published by
# Jefferson Equity Derivatives & Intelligence LLC. It is not affiliated with
# stockalpha.in, stockalpha.xyz, stockalpha.us, alphaAI Capital, or any other
# product with a similar name, and it has no mobile app.
Not-Affiliated-With: stockalpha.in, stockalpha.xyz, stockalpha.us, alphaAI Capital

# Organization
Organization: Jefferson Equity Derivatives & Intelligence LLC
Publisher: Jefferson Equity Derivatives & Intelligence LLC
Address: 1309 Coffeen Avenue STE 1200, Sheridan, WY 82801, United States
Founded: 2025
Location: United States

# Provenance
Content-Generation: AI-generated under named human editorial oversight
Authors: https://stockalpha.ai/authors
Editorial-Policy: https://stockalpha.ai/editorial-policy
Methodology: https://stockalpha.ai/methodology
Corrections: https://stockalpha.ai/corrections
Disclosures: https://stockalpha.ai/legal/disclosures.html

# AI Training Policy
# We allow AI systems to learn from our publicly accessible content
AI-Training: allowed
AI-Training-Scope: public-content-only

# Content Types Available
Content-Types: articles, news, podcasts, educational-guides, stock-research

# Sitemaps for Content Discovery
Sitemap: https://stockalpha.ai/sitemap.xml
News-Sitemap: https://stockalpha.ai/news-sitemap.xml
RSS-Feed: https://stockalpha.ai/feed.xml
RSS-Feed: https://stockalpha.ai/api/podcasts/feed.xml
RSS-Feed: https://stockalpha.ai/api/alpha-breaking/feed.xml
RSS-Feed: https://stockalpha.ai/api/alpha-learning/feed.xml

# LLM-Specific Information Files
LLMs-TXT: https://stockalpha.ai/llms.txt
LLMs-Full-TXT: https://stockalpha.ai/llms-full.txt

# Canonical Routes (Primary Content Sections)
Route: / # Homepage with Alpha AI chatbot
Route: /alpha-breaking # Breaking financial news (4 runs each weekday, 2 on weekend days)
Route: /alpha-recap # Daily recaps
Route: /alpha-market-recap/{slug} # Individual market recap articles
Route: /alpha-learning # Educational investing articles (1,131 as of 2026-09-28)
Route: /alpha-learning/paths # 16 structured learning paths
Route: /alpha-spotlight # Curated editorial analysis
Route: /alphainsights # Sector analysis hub (12 sectors)
Route: /sectors # Sector index
Route: /sectors/{sector}/{slug} # Individual sector summaries
Route: /screener # Equity screener
Route: /podcasts # Alpha Casts audio episodes
Route: /tickers # Stock research; covers about 500 US-listed stocks
Route: /tickers/{symbol} # Ticker research hub; shows the date its AI report was last updated
Route: /alpha-contests # Stock-picking contests (practice currency only)
Route: /market-calendar # Curated market events calendar
Route: /special-reports # In-depth research reports
Route: /alpha-picks/performance # Quant ranking performance page (limited internal preview)
Route: /about # About the publisher
Route: /authors # Named people accountable for published research
Route: /legal/disclosures.html # Sponsored-content and compensation disclosures

# Redirects (not canonical - do not index or cite)
Redirect: /blog -> /alpha-recap (308)
Redirect: /blog/{slug} -> /alpha-market-recap/{slug} (308)
Redirect: /alpha-market-recap -> /alpha-recap (308)
Redirect: /sandbox -> /alpha-contests (307)

# Content Update Frequency
Update-Frequency-Breaking: 4 runs each weekday, 2 on weekend days
Update-Frequency-Sectors: twice each weekday (morning and evening editions)
Update-Frequency-Recaps: daily
Update-Frequency-Tickers: varies by ticker; each ticker page shows the date its AI report was last updated
Update-Frequency-Learning: periodic

# Data Sources
Data-Sources: SEC EDGAR, Financial Modeling Prep (primary market data), Massive (formerly Polygon.io; backup quotes), earnings call transcripts, Google Trends, FINRA, congressional trade disclosures, financial news feeds, OpenAI GPT models
# Prices quoted inside an article are the values captured when that article was
# generated. StockAlpha.ai does not serve a real-time streaming quote feed.

# Important Disclaimers
Disclaimer: Content is for informational purposes only, not financial advice.
Disclaimer: Users should consult qualified financial advisors before investing.

# Robots Information
Robots-TXT: https://stockalpha.ai/robots.txt

# Last Updated
Last-Modified: 2026-10-26