Catalyst filters
Filter for earnings, M&A, share buybacks, mass contracts, FDA approvals, lawsuits, leadership changes, and more.
Feed your trading bot cleaner news signals so it can focus on ranking opportunities, researching catalysts, and testing outcomes.
Builder example
GET https://stocknews.ai/api/news?sentimentRating=verybullish&eventName=Mass%20Contract&limit=10Ask your MCP-connected agent: Which very bullish contract or M&A signals deserve deeper research?What you get
StockNews.AI does not execute trades. It gives your bot better context before it decides what deserves attention.
Filter for earnings, M&A, share buybacks, mass contracts, FDA approvals, lawsuits, leadership changes, and more.
Use verybullish, bullish, neutral, bearish, and verybearish labels with numeric sentiment scores.
Route high-importance news into fundamental, technical, portfolio, or risk analysis before action.
Store newsId, eventId, firstSeenAt, relevantSymbols, and startPrice to compare later market movement.
How it works
Request high-signal news by ticker, market view, source, sentiment, eventName, or hot ranking.
Use importanceScore, relevanceScore, sentimentScore, and reasoning fields to prioritize what matters.
Save signal metadata and startPrice to measure what happened after each event.
Sample signal fields
JSON{
"symbol": "LDOS",
"sentimentRating": "verybullish",
"eventName": "Mass Contract",
"importanceScore": 90,
"sentimentScore": 85,
"relevanceScore": 95,
"summary": "Leidos was awarded a $2.7 billion contract...",
"startPrice": 128.33,
"sourcesJson": [
{ "source": "PRNewswire", "sourceUrl": "..." },
{ "source": "Reuters", "sourceUrl": "..." }
]
}FAQ
No. StockNews.AI provides analyzed financial news data. Your bot or strategy decides what to do with the signal.
Yes. Use sentimentRating=verybullish, or combine it with symbols, eventName, source, and type filters.
Yes. Store the signal identifiers, timestamp, relevant symbols, and startPrice when available.
More builder pages
Build trading agents, research assistants, and dashboards on top of structured stock news signals instead of raw headlines.
Give your AI agent clean financial news context so it can reason about what matters instead of spending tokens cleaning raw articles.
Connect your AI client to StockNews.AI with an MCP Server URI and give it read-only tools for stock news, company context, and market data.
Get sentiment and reasoning on market-moving stock news, plus enough source context for users and AI agents to verify the signal.