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Mike Young
Mike Young

Posted on • Originally published at aimodels.fyi

AI-Powered Stock Prediction System 15% More Accurate Using Historical Data and News Analysis

This is a Plain English Papers summary of a research paper called AI-Powered Stock Prediction System 15% More Accurate Using Historical Data and News Analysis. If you like these kinds of analysis, you should join AImodels.fyi or follow us on Twitter.

Overview

  • Research combines retrieval-augmented generation (RAG) with language models for financial forecasting
  • Proposes novel framework to predict stock movements using historical data and news
  • Demonstrates improved accuracy over traditional machine learning methods
  • Introduces adaptive data retrieval techniques for financial time series
  • Tests system on major stock market indices and individual stocks

Plain English Explanation

Think of this system like a smart financial advisor with perfect memory. It uses AI to read both numbers (stock prices) and words (news articles) to make predictions about where stocks might go next.

The system works in two main parts. First, it has a massive database of past...

Click here to read the full summary of this paper

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