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2. Stochastic programming - Wikipedia

   en.wikipedia.org/wiki/Stochastic_programming

   A stochastic program is an optimization problem in which some or all problem parameters are uncertain, but follow known probability distributions. [ 1 ][ 2 ] This framework contrasts with deterministic optimization, in which all problem parameters are assumed to be known exactly. The goal of stochastic programming is to find a decision which ...

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...

   The free trading simulator makes TC2000 one of the best stock screeners. You can practice and learn the platform with a basic layout, charts, positions and options chains.

5. MetaStock - Wikipedia

   en.wikipedia.org/wiki/MetaStock

   Technical analysis program. Website. www.metastock.com. MetaStock is a proprietary computer program originally released by Computer Asset Management in 1985. It is used for charting and technical analysis of stock (and other asset) prices. [1][2] It has both real-time and end-of-day versions. MetaStock is a product of Innovative Market Analysis.

6. Stochastic screening - Wikipedia

   en.wikipedia.org/wiki/Stochastic_screening

   Stochastic screening or FM screening is a halftone process based on pseudo-random distribution of halftone dots, using frequency modulation (FM) to change the density of dots according to the gray level desired. Traditional amplitude modulation halftone screening is based on a geometric and fixed spacing of dots, which vary in size depending on ...

7. Stochastic simulation - Wikipedia

   en.wikipedia.org/wiki/Stochastic_simulation

   A stochastic simulation is a simulation of a system that has variables that can change stochastically (randomly) with individual probabilities. [1] Realizations of these random variables are generated and inserted into a model of the system. Outputs of the model are recorded, and then the process is repeated with a new set of random values.