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2. MetaTrader 4 - Wikipedia

   en.wikipedia.org/wiki/MetaTrader_4

   MetaTrader 4 Administrator - is designed to remotely manage the server settings. MetaTrader 4 Manager - designed to handle trade inquiries and manage customer accounts. MetaTrader 4 Data Center - a specialized proxy server and can be an intermediary between the server and client terminals. It reduces the price quote sending load on the main server.

3. Stochastic oscillator - Wikipedia

   en.wikipedia.org/wiki/Stochastic_oscillator

   Stochastic oscillator is a momentum indicator within technical analysis that uses support and resistance levels as an oscillator. George Lane developed this indicator in the late 1950s. [ 1 ] The term stochastic refers to the point of a current price in relation to its price range over a period of time. [ 2 ]

4. Stopping time - Wikipedia

   en.wikipedia.org/wiki/Stopping_time

   Example of a stopping time: a hitting time of Brownian motion.The process starts at 0 and is stopped as soon as it hits 1. In probability theory, in particular in the study of stochastic processes, a stopping time (also Markov time, Markov moment, optional stopping time or optional time [1]) is a specific type of “random time”: a random variable whose value is interpreted as the time at ...

5. Stochastic programming - Wikipedia

   en.wikipedia.org/wiki/Stochastic_programming

   In the field of mathematical optimization, stochastic programming is a framework for modeling optimization problems that involve uncertainty. A stochastic program is an optimization problem in which some or all problem parameters are uncertain, but follow known probability distributions .

6. Stochastic drift - Wikipedia

   en.wikipedia.org/wiki/Stochastic_drift

   In probability theory, stochastic drift is the change of the average value of a stochastic (random) process. A related concept is the drift rate, which is the rate at which the average changes. For example, a process that counts the number of heads in a series of fair coin tosses has a drift rate of 1/2 per toss. This is in contrast to the ...

7. Continuous stochastic process - Wikipedia

   en.wikipedia.org/wiki/Continuous_stochastic_process

   In probability theory, a continuous stochastic process is a type of stochastic process that may be said to be "continuous" as a function of its "time" or index parameter. Continuity is a nice property for (the sample paths of) a process to have, since it implies that they are well-behaved in some sense, and, therefore, much easier to analyze.