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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 ]
An oscillator in technical analysis of financial markets is an indicator that informs if the price of a financial instrument is very high or very low, indicating whether it is overbought or oversold. This helps traders make decisions about when to trade (buy or sell) that instrument.
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.
The MACD indicator [2] (or "oscillator") is a collection of three time series calculated from historical price data, most often the closing price. These three series are: the MACD series proper, the "signal" or "average" series, and the "divergence" series which is the difference between the two.
Example of cup and handle chart pattern. In the domain of technical analysis of market prices, a cup and handle or cup with handle formation is a chart pattern consisting of a drop in the price and a rise back up to the original value, followed first by a smaller drop and then a rise past the previous peak. [1]
Karl Otto Lagerfeld [1] was born in Hamburg on 10 September 1933 to Elisabeth (née Bahlmann) and Otto Lagerfeld.His father, coming from a family of wealthy wine-merchants, was a prosperous businessman and polyglot, speaking nine languages; [7] [8] his father owned an import company (Lagerfeld & Co.) specialising in evaporated milk, leading him to work with the American dairy company Carnation.
In physics, a Langevin equation (named after Paul Langevin) is a stochastic differential equation describing how a system evolves when subjected to a combination of deterministic and fluctuating ("random") forces. The dependent variables in a Langevin equation typically are collective (macroscopic) variables changing only slowly in comparison ...
It is therefore a synthesis of stochastic analysis (the extension of calculus to stochastic processes) and of differential geometry. The connection between analysis and stochastic processes stems from the fundamental relation that the infinitesimal generator of a continuous strong Markov process is a second-order elliptic operator.