We need an algorithm, written in Python, which shows us the Lyapunov Exponent and Wavelets for a given time series of stocks close price. Any approach of the Lyapunov Exponent/Wavelets can be used, with no restrictions regarding the approximations, always guaranteeing this as a good proxy. The code must be well commented and all input parameters must be well specified. A main function is expected, and any other sub functions can be used. The input Parameters must be as broader as possible (time series, window size, Lyapunov/Wavelets function parameters, any other needed). The function output must be a number corresponding the Lyapunov Exponent/Wavelets.
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Hi, My name is Cristhian, an experienced app, web and software developer with many years of experience, you can read my profile and notice my qualifications, or I prefer to discuss details over chat,Thanks to read.
Hello! I'd like to deliver stock indicators estimation. I'm familiar with digital signal processing as well as theory of probabilities. I'll do the job blazingly fast. Please, give me a try!
Hi, I am interested in this project I have rich experience in Python as full stack developer and confidence with this field If you hire me, I will finish it perfectly Looking forward to hearing from you soon Gregorian