Stock returns have a mixed distribution, which describes Gaussian and non-Gaussian characteristics of the stock return distribution, according to the solution of the Schrodinger equation for the quantum harmonic oscillator. As a model for the market force, A quantum harmonic oscillator which uses a stock return from short-run oscillations to long-run equilibrium will be suggested. We will calculate fitting errors and goodness of fit statistics by analysing the All-Share Index of the National Stock Exchange of India.

Cryptocurrency, also known as crypto is a type of digital currency that operates as an exchange mechanism over a computer network and is not supported or maintained by any governing authority. Compared to other equities and bonds, the price of crypto-currencies is highly volatile in nature. Its fluctuations are highly influenced by supply and demand, sentiments of investors and media hype. This paper introduces quantum harmonic oscillator model to measure the value at risk for the fix amount of investment to identify the maximum risk behaviour of cryptocurrency.