Thomas Cotter

A Quick Guide To Sentiment-Powered Stock Predictions With Benzinga’s News And Bars Endpoints

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 behind market shifts. Benzinga’s Newsfeed & Bars APIs bridge this gap by combining market-moving headlines with detailed historical price data, which gives a better view of market behavior. In this

Thomas Cotter

Benzinga Earnings API: Extracting and Analyzing Historical Earnings Data in Python

In this guide, we will focus on retrieving Apple Inc.’s (AAPL) historical earnings data and conducting further analysis using Benzinga’s Earnings API.

Thomas Cotter

Utilizing the Benzinga News Archive to Power your LLM

The Benzinga News S3 bucket houses an extraordinary source of comprehensive data with the potential to power any Large Language Model (LLM).

Thomas Cotter

Predicting and Analyzing Markets Utilizing a News Archive

LLMs can play a crucial role in decision-making, offering insights into market directions, strategic choices, and an accurate portrayal of the market landscape.