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  2. Norgate Data - Wikipedia

    en.wikipedia.org/wiki/Norgate_Data

    Norgate provides end-of-day price data for stock markets in Australia, Canada and USA, worldwide futures price data, cash commodifty and foreign currency data. Such data can be charted through Technical Analysis charting packages such as MetaStock and AmiBroker, and accessed in programming languages such as Python .

  3. Stock market prediction - Wikipedia

    en.wikipedia.org/wiki/Stock_market_prediction

    The efficacy of technical analysis is disputed by the efficient-market hypothesis, which states that stock market prices are essentially unpredictable, [5] and research on whether technical analysis offers any benefit has produced mixed results. [6] [7] [8] Technical analysts or chartists are usually less concerned with any of a company's ...

  4. Randomized weighted majority algorithm - Wikipedia

    en.wikipedia.org/wiki/Randomized_weighted...

    The randomized weighted majority algorithm is an algorithm in machine learning theory for aggregating expert predictions to a series of decision problems. [1] It is a simple and effective method based on weighted voting which improves on the mistake bound of the deterministic weighted majority algorithm.

  5. Predictive analytics - Wikipedia

    en.wikipedia.org/wiki/Predictive_analytics

    Predictive analytics, or predictive AI, encompasses a variety of statistical techniques from data mining, predictive modeling, and machine learning that analyze current and historical facts to make predictions about future or otherwise unknown events.

  6. Neural network (machine learning) - Wikipedia

    en.wikipedia.org/wiki/Neural_network_(machine...

    In investing, ANNs can process vast amounts of financial data, recognize complex patterns, and forecast stock market trends, aiding investors and risk managers in making informed decisions. [ 244 ] In credit scoring, ANNs offer data-driven, personalized assessments of creditworthiness, improving the accuracy of default predictions and ...

  7. List of datasets for machine-learning research - Wikipedia

    en.wikipedia.org/wiki/List_of_datasets_for...

    Applied 12-degree linear prediction analysis to it to obtain a discrete-time series with 12 cepstrum coefficients. 640 Text Classification 1999 [128] [129] M. Kudo et al. Parkinson's Telemonitoring Dataset Multiple recordings of people with and without Parkinson's Disease. Sound features extracted. 5875 Text Classification 2009 [130] [131]

  8. Data and information visualization - Wikipedia

    en.wikipedia.org/wiki/Data_and_information...

    Frequency distribution: Shows the number of observations of a particular variable for given interval, such as the number of years in which the stock market return is between intervals such as 0–10%, 11–20%, etc. A histogram, a type of bar chart, may be used for this analysis.

  9. Stock market simulator - Wikipedia

    en.wikipedia.org/wiki/Stock_market_simulator

    A stock market simulator is computer software that reproduces behavior and features of a stock market, so that a user may practice trading stocks without financial risk. Paper trading , sometimes also called "virtual stock trading", is a simulated trading process in which would-be investors can practice investing without committing money.