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  2. Stock market prediction - Wikipedia

    en.wikipedia.org/wiki/Stock_market_prediction

    In a study published in Scientific Reports in 2013, [24] Helen Susannah Moat, Tobias Preis and colleagues demonstrated a link between changes in the number of views of English Wikipedia articles relating to financial topics and subsequent large stock market moves. [25] The use of Text Mining together with Machine Learning algorithms received ...

  3. Quantitative analysis (finance) - Wikipedia

    en.wikipedia.org/wiki/Quantitative_analysis...

    Machine learning models are now capable of identifying complex patterns in financial market data. With the aid of artificial intelligence, investors are increasingly turning to deep learning techniques to forecast and analyze trends in stock and foreign exchange markets. [15] See Applications of artificial intelligence § Trading and investment.

  4. Multiple instance learning - Wikipedia

    en.wikipedia.org/wiki/Multiple_Instance_Learning

    Multiple instance learning can be used to learn the properties of the subimages which characterize the target scene. From there on, these frameworks have been applied to a wide spectrum of applications, ranging from image concept learning and text categorization, to stock market prediction.

  5. Stock market outlook for the next 12 months: Here’s what top ...

    www.aol.com/finance/stock-market-outlook-next-12...

    The stock market has been on a tear in 2024, with the S&P 500 rising by nearly 21 percent over the first three quarters of the year. But the situation may not be so brisk over the coming 12 months ...

  6. Social data analysis - Wikipedia

    en.wikipedia.org/wiki/Social_data_analysis

    There are some outstanding articles in this field, including Twitter Mood Predicts The Stock Market, [3] Predicting The Present With Google Trends [4] etc. In order to accomplish these goals, we need the appropriate methods to do the analyses. Usually, we use statistic methods, methods of machine learning or methods of data mining to do the ...

  7. Predictive modelling - Wikipedia

    en.wikipedia.org/wiki/Predictive_modelling

    History cannot always accurately predict the future. Using relations derived from historical data to predict the future implicitly assumes there are certain lasting conditions or constants in a complex system. This almost always leads to some imprecision when the system involves people. [citation needed] Unknown unknowns are an issue. In all ...

  8. ‘No turning back’: This Wall Street 'permabear' has been ...

    www.aol.com/finance/no-turning-back-wall-street...

    One of Wall Street’s most bearish skeptics has seen his market predictions come true. Mark Spitznagel, chief investment officer of Universa Investments, told Business Insider earlier this year ...

  9. ‘No turning back’: This Wall Street 'permabear' is predicting ...

    www.aol.com/finance/no-turning-back-wall-street...

    Unlike the stock market, which can be highly volatile, commercial real estate provides steady income streams with generally lower volatility and a low correlation to the S&P 500, according to ...