See: Description
AlgoQuant is a framework for studying, simulating, researching and applying quantitative strategies. Start with the usage tutorials; their numerical results are incidental to learning the APIs.
Use tech.nmfin:algoquant-dist:3.3.2 from https://maven.pkg.github.com/nmltd/maven-packages with your own classic GitHub token (read:packages) and an external NM license.
Learn the library by following data loading, strategy construction, simulation, performance measurement and export calls. Model Javadoc distinguishes the original publication from the parameters and assumptions used by each tutorial.
Start with SMA2Demo010 for simulator assembly, then TutorialStrategy for event handling and Infantino2010ParamAnalysisDemo for a research-model sensitivity study. The six technical demos use synthetic inputs by default. Other examples may need market downloads, local datasets, desktop charts, database configuration or broker services.
The examples are educational adaptations; a citation does not mean a paper's complete method, dataset or empirical results have been reproduced. A valid external NM license is required to execute the library; it is not needed to read these pages.
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