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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. List of numerical-analysis software - Wikipedia

   en.wikipedia.org/wiki/List_of_numerical-analysis...

   It supports many binary instrument data formats and has its own vectorized programming language. IGOR Pro, a software package with emphasis on time series, image analysis, and curve fitting. It comes with its own programming language and can be used interactively. LabPlot is a data analysis and visualization application built on the KDE Platform.

5. Trend analysis - Wikipedia

   en.wikipedia.org/wiki/Trend_analysis

   If the trend can be assumed to be linear, trend analysis can be undertaken within a formal regression analysis, as described in Trend estimation. If the trends have other shapes than linear, trend testing can be done by non-parametric methods, e.g. Mann-Kendall test, which is a version of Kendall rank correlation coefficient .

6. Comparison of numerical-analysis software - Wikipedia

   en.wikipedia.org/wiki/Comparison_of_numerical...

   Integrated data analysis graphing software for science and engineering. Flexible multi-layer graphing framework. 2D, 3D and statistical graph types. Built-in digitizing tool. Analysis with auto recalculation and report generation. Built-in scripting and programming languages. Perl Data Language: Karl Glazebrook 1996 c. 1997 2.080 28 May 2022: Free

7. 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 ...