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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 ...
OpenML: [493] Web platform with Python, R, Java, and other APIs for downloading hundreds of machine learning datasets, evaluating algorithms on datasets, and benchmarking algorithm performance against dozens of other algorithms. PMLB: [494] A large, curated repository of benchmark datasets for evaluating supervised machine learning algorithms ...
This technique can be particularly useful when calculating risks on a derivative. When calculating the delta using a Monte Carlo method, the most straightforward way is the black-box technique consisting in doing a Monte Carlo on the original market data and another one on the changed market data, and calculate the risk by doing the difference ...
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.
[5] [6] It is free and open-source software released under the Apache License 2.0. It was developed by the Google Brain team for Google 's internal use in research and production. [ 7 ] [ 8 ] [ 9 ] The initial version was released under the Apache License 2.0 in 2015.
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. [1]
FreeFem++ - Free, open-source, multiphysics Finite Element Analysis (FEA) software. Freemat - a free environment for rapid engineering, scientific prototyping and data processing using the same language as MATLAB and GNU Octave. Gekko - simulation software in Python with machine learning and optimization
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 ...