Quantum Oscillation Model of Stocks
By Harry
In general, oscillations can help investors and businesses predict changes in short term stock prices modeling. Similar to the up and down changes in the stock market, oscillations can measure up and down patterns in stock prices based on previous data of the stock and related stock variables. Additionally, oscillations can help with measuring changes in volatility to better measure notable changes in stock prices. Quantum oscillations have energy levels that are discrete; they also have a minimum energy level, which can help with more accurate modeling compared to classical oscillations. Moreover, quantum oscillations are described by wave functions, which can give probability distributions of stock prices. The goal of this project is to recreate an existing quantum oscillation model using existing algorithms.