hipstermartin/Stock-trend-prediction-based-on-social-media-articles
A machine-learning approach to predicting market fluctuations based on tweet classification in social media articles.
This tool helps financial traders and analysts predict daily stock price movements by analyzing public sentiment expressed in tweets. It takes a collection of tweets related to a specific stock as input and outputs a sentiment score for each tweet, which is then used to predict whether the stock price will go up or down. Anyone involved in making short-term trading decisions based on market sentiment would find this useful.
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Use this if you want to incorporate social media sentiment from Twitter into your stock trading strategy to make more informed buy/sell decisions.
Not ideal if you are looking for long-term investment strategies or predictions based on fundamental company analysis.
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Last pushed
Feb 25, 2023
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