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  2. Stock market prediction - Wikipedia

    en.wikipedia.org/wiki/Stock_market_prediction

    Stock market prediction is the act of trying to determine the future value of a company stock or other financial instrument traded on an exchange. The successful prediction of a stock's future price could yield significant profit. The efficient market hypothesis suggests that stock prices reflect all currently available information and any ...

  3. Predictive analytics - Wikipedia

    en.wikipedia.org/wiki/Predictive_analytics

    Predictive analytics is a form of business analytics applying machine learning to generate a predictive model for certain business applications. As such, it encompasses a variety of statistical techniques from predictive modeling and machine learning that analyze current and historical facts to make predictions about future or otherwise unknown events. [1]

  4. Heckscher–Ohlin model - Wikipedia

    en.wikipedia.org/wiki/Heckscher–Ohlin_model

    The original H–O model assumed that the only difference between countries was the relative abundances of labour and capital. The original Heckscher–Ohlin model contained two countries, and had two commodities that could be produced. Since there are two (homogeneous) factors of production this model is sometimes called the "2×2×2 model".

  5. Hotelling's law - Wikipedia

    en.wikipedia.org/wiki/Hotelling's_law

    Hotelling's law is an observation in economics that in many markets it is rational for producers to make their products as similar as possible. This is also referred to as the principle of minimum differentiation as well as Hotelling's linear city model. The observation was made by Harold Hotelling (1895–1973) in the article "Stability in ...

  6. Autoregressive model - Wikipedia

    en.wikipedia.org/wiki/Autoregressive_model

    Autoregressive model. In statistics, econometrics, and signal processing, an autoregressive ( AR) model is a representation of a type of random process; as such, it can be used to describe certain time-varying processes in nature, economics, behavior, etc. The autoregressive model specifies that the output variable depends linearly on its own ...

  7. Bitcoin price prediction model running ‘like clockwork’ as ...

    www.aol.com/news/bitcoin-price-prediction-model...

    Average forecast from analysts put bitcoin reaching north of $100,000 in 2024, though some warn of history repeating itself Bitcoin price prediction model running ‘like clockwork’ as crypto ...

  8. Secular Organizations for Sobriety - Wikipedia

    en.wikipedia.org/wiki/Secular_Organizations_for...

    Secular Organizations for Sobriety ( SOS ), also known as Save Our Selves, [1] is a non-profit network of autonomous addiction recovery groups. The program stresses the need to place the highest priority on sobriety and uses mutual support to assist members in achieving this goal. The Suggested Guidelines for Sobriety emphasize rational ...

  9. Predictive modelling - Wikipedia

    en.wikipedia.org/wiki/Predictive_modelling

    Predictive modelling uses statistics to predict outcomes. [1] Most often the event one wants to predict is in the future, but predictive modelling can be applied to any type of unknown event, regardless of when it occurred. For example, predictive models are often used to detect crimes and identify suspects, after the crime has taken place. [2]