US Stock News Archive — Top 1,500 Companies, 5y (2021–2026)
Five years of ticker-tagged news articles for the top 1,500 US-listed issuers by market cap, covering 1,453,949 articles across 1,453 companies. Each row carries publication timestamp, publisher, site domain, headline, article body snippet, canonical URL, and image URL — all linked back to the underlying ticker symbol. Split into one CSV.GZ file per calendar quarter (21 files) for partial-history loading. Read with pandas.read_csv(path, compression='gzip', parse_dates=['publishedDate']). Useful for: training news-sentiment models, event-study backtests around news catalysts, building ticker-mention frequency time series, fine-tuning LLMs on financial-news prose, and reconstructing the news flow around earnings, M&A, regulatory events, and macro shocks.
Use Cases
- Train news-sentiment models for equity signals
- Event-study backtests around news catalysts (M&A, earnings, regulatory)
- Ticker-mention frequency / attention time series
- Fine-tune LLMs on contemporary financial-news prose
- Build news-driven topic models per sector
Methodology
Universe: top 1,500 US-listed issuers by market cap (NASDAQ/NYSE/AMEX). For each ticker × quarter (21 quarters from 2021-Q2 through 2026-Q2), paginated FMP's /stable/news/stock?symbols=… endpoint at limit=250/page until exhausted (or per-quarter page-cap 10 reached). FMP's broad-window date filter drops to a ~2-month tail; per-quarter chunked fetching is required to reconstruct multi-year history. Output bucketed by calendar quarter (21 files); rows sorted ascending by publishedDate within each.
Update Schedule
Static snapshot as of build date. Re-run periodically for fresh coverage.
Attribution
Source: aggregated news feeds via Financial Modeling Prep.
Schema
| name | type |
|---|---|
| symbol | string |
| publishedDate | datetime |
| publisher | string |
| site | string |
| title | string |
| text | string |
| url | string |
| image | string |
Sample Data
| url | site | text | image | title | symbol | publisher | publishedDate |
|---|---|---|---|---|---|---|---|
| https://www.fool.com/investing/2021/04/01/forget-saas-these-stocks-are-the-nasdaqs-new-leade/ | fool.com | Everyone's betting on continued success in one key area. | https://images.financialmodelingprep.com/news/forget-saas-these-stocks-are-the-nasdaqs-new-leaders-20210401.jpg | Forget SaaS -- These Stocks Are the Nasdaq's New Leaders | NVDA | The Motley Fool | 2021-04-01 14:46:26 |
| https://seekingalpha.com/article/4417254-soxx-global-semiconductor-shortage-not-buying-opportunity | seekingalpha.com | SOXX: The Global Semiconductor Shortage Is Not A Buying Opportunity | https://images.financialmodelingprep.com/news/soxx-the-global-semiconductor-shortage-is-not-a-buying-20210401.jpg | SOXX: The Global Semiconductor Shortage Is Not A Buying Opportunity | NVDA | Seeking Alpha | 2021-04-01 15:30:14 |
| https://www.fool.com/investing/2021/04/02/2-top-stocks-you-can-buy-and-hold-for-the-next-dec/ | fool.com | These two tech stocks provide a combination of stability and growth that investors can confidently buy and hold for the long term. | https://images.financialmodelingprep.com/news/2-top-stocks-you-can-buy-and-hold-for-20210402.jpg | 2 Top Stocks You Can Buy and Hold for the Next Decade | NVDA | The Motley Fool | 2021-04-02 06:24:00 |
Get this via API
# 1. Add dAgentBase once, in any MCP client. No install, no vendor keys.
# Claude.ai / Claude Desktop: Settings -> Connectors -> Add custom connector
# Cursor / Claude Code / others: mcp.json
{
"mcpServers": {
"dagentbase": {
"url": "https://dagentbase.com/api/mcp",
"headers": { "Authorization": "Bearer dm_live_YOUR_KEY" }
}
}
}
# 2. Then ask your agent, in plain language:
# "Preview 'US Stock News Archive — Top 1,500 Companies, 5y (2021–2026)' and, if it fits, claim it and download the files."
# Tools it will use: search_listings -> preview_listing -> purchase_listing -> get_download_urls
# 1. Add dAgentBase once, in any MCP client. No install, no vendor keys.
# Claude.ai / Claude Desktop: Settings -> Connectors -> Add custom connector
# Cursor / Claude Code / others: mcp.json
{
"mcpServers": {
"dagentbase": {
"url": "https://dagentbase.com/api/mcp",
"headers": { "Authorization": "Bearer dm_live_YOUR_KEY" }
}
}
}
# 2. Then ask your agent, in plain language:
# "Preview 'US Stock News Archive — Top 1,500 Companies, 5y (2021–2026)' and, if it fits, claim it and download the files."
# Tools it will use: search_listings -> preview_listing -> purchase_listing -> get_download_urlsone time · open license
Details
Available formats