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The use of Text Mining together with Machine Learning algorithms received more attention in the last years, [26] with the use of textual content from Internet as input to predict price changes in Stocks and other financial markets. The collective mood of Twitter messages has been linked to stock market performance. [27]
This system differs from other systems in that it uses financial text as one of its key means of predicting stock price movement. This reduces the information lag-time problem evident in many similar systems where new information must be transcribed (e.g., such as losing a costly court battle or having a product recall), before the quant can react appropriately.
Zhang et al. (2011) [34] and Bollen et al. (2011) [35] report Twitter to be an extremely important source of sentiment data, which helps to predict stock prices and volatility. The usual way to analyze the influence of the data from micro-blogging platforms on behavior of stock prices is to construct special mood tracking indexes.
Stock market prices are rising as 2024 ends and some people are worried about a possible downturn. But UBS (NYSE:UBS) analysts say there's no need to stress. They think prices will keep going up ...
The user base of X, the social media network formerly known as Twitter, is more than 100 times bigger than Truth Social’s. Even Threads has 20 times more users than Truth Social, according to ...
After declining by over 18% in 2022, the S&P 500 has been on a roll for the past two years. In 2023, the U.S. stock market's most important index gained over 24%, and so far in 2024 it has gained ...
Market timing is the strategy of making buying or selling decisions of financial assets (often stocks) by attempting to predict future market price movements.The prediction may be based on an outlook of market or economic conditions resulting from technical or fundamental analysis.
Richard L. Peterson is an American behavioral economist and psychiatrist.He has developed behavioral finance-based quantitative models, imaged the brains of subjects play-trading, [1] [2] and is a frequent writer about social media sentiment. [3]