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  2. Trend line (technical analysis) - Wikipedia

    en.wikipedia.org/.../Trend_line_(technical_analysis)

    When establishing trend lines it is important to choose a chart based on a price interval period that aligns with your trading strategy. Short term traders tend to use charts based on interval periods, such as 1 minute (i.e. the price of the security is plotted on the chart every 1 minute), with longer term traders using price charts based on ...

  3. Linear trend estimation - Wikipedia

    en.wikipedia.org/wiki/Linear_trend_estimation

    All have the same trend, but more filtering leads to higher r 2 of fitted trend line. The least-squares fitting process produces a value, r-squared (r 2), which is 1 minus the ratio of the variance of the residuals to the variance of the dependent variable. It says what fraction of the variance of the data is explained by the fitted trend line.

  4. Trend analysis - Wikipedia

    en.wikipedia.org/wiki/Trend_analysis

    Trend analysis is the widespread practice of collecting information and attempting to spot a pattern. In some fields of study, the term has more formally defined meanings. In some fields of study, the term has more formally defined meanings.

  5. Model selection - Wikipedia

    en.wikipedia.org/wiki/Model_selection

    Model selection is the task of selecting a model from among various candidates on the basis of performance criterion to choose the best one. [1] In the context of machine learning and more generally statistical analysis, this may be the selection of a statistical model from a set of candidate models, given data. In the simplest cases, a pre ...

  6. Linear regression - Wikipedia

    en.wikipedia.org/wiki/Linear_regression

    A trend line could simply be drawn by eye through a set of data points, but more properly their position and slope is calculated using statistical techniques like linear regression. Trend lines typically are straight lines, although some variations use higher degree polynomials depending on the degree of curvature desired in the line.

  7. Business analytics - Wikipedia

    en.wikipedia.org/wiki/Business_analytics

    The difficulty in ensuring data quality is integrating and reconciling data across different systems, and then deciding what subsets of data to make available. [3] Previously, analytics was considered a type of after-the-fact method of forecasting consumer behavior by examining the number of units sold in the last quarter or the last year. This ...

  8. List of big data companies - Wikipedia

    en.wikipedia.org/wiki/List_of_big_data_companies

    Alpine Data Labs, an analytics interface working with Apache Hadoop and big data; AvocaData, a two sided marketplace allowing consumers to buy & sell data with ease. Azure Data Lake is a highly scalable data storage and analytics service. The service is hosted in Azure, Microsoft's public cloud

  9. Technical analysis - Wikipedia

    en.wikipedia.org/wiki/Technical_analysis

    In finance, technical analysis is an analysis methodology for analysing and forecasting the direction of prices through the study of past market data, primarily price and volume. [1] As a type of active management , it stands in contradiction to much of modern portfolio theory .