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  2. Statistical arbitrage - Wikipedia

    en.wikipedia.org/wiki/Statistical_arbitrage

    In finance, statistical arbitrage (often abbreviated as Stat Arb or StatArb) is a class of short-term financial trading strategies that employ mean reversion models involving broadly diversified portfolios of securities (hundreds to thousands) held for short periods of time (generally seconds to days). These strategies are supported by ...

  3. High-frequency trading - Wikipedia

    en.wikipedia.org/wiki/High-frequency_trading

    The common types of high-frequency trading include several types of market-making, event arbitrage, statistical arbitrage, and latency arbitrage. Most high-frequency trading strategies are not fraudulent, but instead exploit minute deviations from market equilibrium.

  4. Volatility arbitrage - Wikipedia

    en.wikipedia.org/wiki/Volatility_arbitrage

    In finance, volatility arbitrage (or vol arb) is a term for financial arbitrage techniques directly dependent and based on volatility. A common type of vol arb is type of statistical arbitrage that is implemented by trading a delta neutral portfolio of an option and its underlying .

  5. Algorithmic trading - Wikipedia

    en.wikipedia.org/wiki/Algorithmic_trading

    Algorithmic trading is a method of executing orders using automated pre-programmed trading instructions accounting for variables such as time, price, and volume. [1] This type of trading attempts to leverage the speed and computational resources of computers relative to human traders.

  6. Probabilistic data association filter - Wikipedia

    en.wikipedia.org/wiki/Probabilistic_data...

    MATLAB: The PDAF and JPDAF algorithms are implemented in the singleScanUpdate function that is part of the United States Naval Research Laboratory's free Tracker Component Library. [3] Python: The PDAF and other data association methods are implemented in Stone-Soup. [4] A tutorial demonstrates how the algorithms can be used. [5] [6]

  7. Quantitative analysis (finance) - Wikipedia

    en.wikipedia.org/wiki/Quantitative_analysis...

    Applied quantitative analysis is commonly associated with quantitative investment management which includes a variety of methods such as statistical arbitrage, algorithmic trading and electronic trading. Some of the larger investment managers using quantitative analysis include Renaissance Technologies, D. E. Shaw & Co., and AQR Capital ...

  8. Cochran–Armitage test for trend - Wikipedia

    en.wikipedia.org/wiki/Cochran–Armitage_test_for...

    where R 1 = N 11 + N 12 + N 13, and C 1 = N 11 + N 21, etc. . The trend test statistic is = (), where the t i are weights, and the difference N 1i R 2 −N 2i R 1 can be seen as the difference between N 1i and N 2i after reweighting the rows to have the same total.

  9. Probabilistic numerics - Wikipedia

    en.wikipedia.org/wiki/Probabilistic_numerics

    Bayesian optimization of a function (black) with Gaussian processes (purple). Three acquisition functions (blue) are shown at the bottom. [19]Probabilistic numerics have also been studied for mathematical optimization, which consist of finding the minimum or maximum of some objective function given (possibly noisy or indirect) evaluations of that function at a set of points.