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Can Memes Predict Markets? Using Social Media Sentiment for Stock Forecasting

Data Science Conference via YouTube

Overview

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Explore the fascinating intersection of social media sentiment and financial markets in this 35-minute conference talk from Data Science Conference Europe 2024. Delve into Milan Zdravkovic's analysis of the efficient market hypothesis in our hyper-connected digital age, examining how the widespread sharing of information impacts trading outcomes. Discover how sentiment analysis from social platforms is already being incorporated into trading strategies and what happens when investors look beyond competitive markets like popular stocks and Twitter to find alpha. Learn about the unique effectiveness of sentiment analysis in specific markets such as cryptocurrencies and Asian stocks, with practical insights into these distinctive trading environments. This presentation, delivered in Belgrade on November 22nd, offers valuable perspectives on whether social media sentiment—including memes—can truly help predict market movements.

Syllabus

Can Memes Predict Markets? Using Social Media Sentiment for Stock Forecasting | Milan Zdravkovic

Taught by

Data Science Conference

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