The project will be completed in £) days from the day it's awarded and accepted by the freelancer. The whole payment will be £800 divided into 4 equally weighted milestones of £200 as per work deliivery matches the timeline and the job proper requirements and features.
1 week - Data adjuster :
When we need to integarate many different sources, this one will be used to combine them according to their date/times. This module will also be used with combining other ML methods into actual hybrid MLP
2 weeks - Trend to High Low :
Adjustments brought to the actual hybrid MLP to transform the current outputs (slope and duration) to High and Low numbers.
1 week - Combination of other methods :
Combination/Integration of all developed ML models into hybrid MLP
Performance measures will have to be provided including usual statistic metrics and actual application to business matters (financial time series)
- High and Low: provide a table with Dates, Actual prices, Predicted prices and Variation %
- Slope and Duration: Date predicted and Price predicted along with target daily timeseries.
All necessary time series are already provided.
8 freelancerów złożyło ofertę na kwotę £954 do tego projektu
Experienced data scientist who has worked extensively on stock market predictions/ time series predictions using ANN/MLP in python. Would like to know more details. Looking forward to hearing back from you !
Hi, thanks for considering. Checking and interested in your job post due to my experience. PS: If you are interested in working with me, feel free to message. Looking forward to hearing from you.