Blog
November 21, 2025
Our MCP Server is LIVE!
by Thomas Cotter
We’re excited to announce the release of our MCP server, a new layer that makes it easier for developers to connect to Benzinga’s data ecosystem.
July 27, 2025
OpenAI + Benzinga News: How to Summarize Stock Headlines with GPT
by Thomas Cotter
Every stock generates headlines. Some days it’s one or two. Other times it’s a flood. For most users, the problem isn’t a lack of information
June 11, 2025
Building Real-Time Stock Alerts with News Triggers
by Thomas Cotter
Introduction: Why news-based alerts matter now Most trading platforms offer alerts. Users get notified when a stock breaks above a technical level or hits
May 11, 2025
Swing Trade Strategy Builder: Powering Timely Trade Setups with Real-Time News
by Thomas Cotter
Introduction: Why Swing Trade Features Are Becoming Standard in Modern Platforms More traders are shifting toward short-term, catalyst-driven strategies. Swing trading, which typically involves holding
February 5, 2025
A Quick Guide To Sentiment-Powered Stock Predictions With Benzinga’s News And Bars Endpoints
by Thomas Cotter
Introduction Context is as critical as data. Relying solely on price movements is like evaluating a novel by its cover—you risk overlooking the deeper narrative
March 23, 2025
Benzinga API: A Potential Alternative to Yahoo Finance
by Thomas Cotter
Benzinga API as an Alternative to Yahoo Finance In the world of trading, data is the most important thing. It is not a stereotype to
April 11, 2025
How Product Teams Use Financial News APIs to Build Smart Stock Analysis Tools
by Thomas Cotter
Intro: The Rise of Smart Stock Analysis Tools Stock analysis tools aren’t what they used to be. A few years ago, most platforms focused on
November 12, 2024
How to use Benzinga’s Conference Call Transcript WebSocket for Real-Time Sentiment Prediction
by Thomas Cotter
Learn how to use Benzinga’s Conference Call Transcript WebSocket to extract real-time earnings call data and perform sentiment analysis for actionable market insights using Python
October 2, 2024
Benzinga Trending Tickers API: Extracting and Analyzing Trending Stocks in Python
by Thomas Cotter
Unlock real-time market insights with Benzinga’s Trending Tickers API. Learn how to track the most active stocks over short-term periods, analyze data trends, and make informed investment decisions by monitoring ticker activity, mention counts, and percentage changes in market sentiment.
September 16, 2024
Benzinga Earnings API: Extracting and Analyzing Historical Earnings Data in Python
by Thomas Cotter
In this guide, we will focus on retrieving Apple Inc.’s (AAPL) historical earnings data and conducting further analysis using Benzinga’s Earnings API.
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