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  2. George Lane (technical analyst) - Wikipedia

    en.wikipedia.org/wiki/George_Lane_(technical...

    Known for. stochastic oscillator. George Lane (1921 – July 7, 2004) was a securities trader, author, educator, speaker and technical analyst. He was part of a group of futures traders in Chicago who developed the stochastic oscillator (also known as "Lane's stochastics"), which is one of the core indicators used today among technical analysts ...

  3. Monte Carlo methods in finance - Wikipedia

    en.wikipedia.org/wiki/Monte_Carlo_methods_in_finance

    Essentially, the Monte Carlo method solves a problem by directly simulating the underlying (physical) process and then calculating the (average) result of the process. [1] This very general approach is valid in areas such as physics, chemistry, computer science etc. In finance, the Monte Carlo method is used to simulate the various sources of ...

  4. 7 Best Stock Screeners for 2022 - AOL

    www.aol.com/finance/7-best-stock-screeners-2022...

    6. TradingView. TradingView is one of the best stock screeners because of the number of securities it covers in the screening process. From looking up the price of a stock to analyzing price ...

  5. Louis Bachelier - Wikipedia

    en.wikipedia.org/wiki/Louis_Bachelier

    Louis Jean-Baptiste Alphonse Bachelier (French:; 11 March 1870 – 28 April 1946) [1] was a French mathematician at the turn of the 20th century. He is credited with being the first person to model the stochastic process now called Brownian motion, as part of his doctoral thesis The Theory of Speculation (Théorie de la spéculation, defended in 1900).

  6. Stochastic calculus - Wikipedia

    en.wikipedia.org/wiki/Stochastic_calculus

    v. t. e. Stochastic calculus is a branch of mathematics that operates on stochastic processes. It allows a consistent theory of integration to be defined for integrals of stochastic processes with respect to stochastic processes. This field was created and started by the Japanese mathematician Kiyosi Itô during World War II.

  7. Conservative Formula Investing - Wikipedia

    en.wikipedia.org/wiki/Conservative_Formula_Investing

    Based on a universe of US stocks, the Conservative Formula has produced an annualized return of 15.1% over the period January 1929 to December 2016, significantly outperforming the US market index by 5.8% per year. Moreover, this return has been achieved with lower volatility, resulting in a Sharpe ratio of 0.94 for the full sample period.

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