Algorithmic Intraday Stock Trading System
By Itexus
Client
Wealth management company with 20 years of exp.
Project Description
Machine learning can automatically create and refresh an algorithm for solving a complex problem based on a large volume of data. It’s not necessary to search for business-important patterns. Instead, a team of qualified professionals should prepare the right data set for training and automate the entire data processing and application process. But at the same time, it is very important to ensure the quality of data and continuous quality control of algorithms.Domain: FintechEngagement model: Fixed Price for the MVP stage,Time & Materials for other stagesEffort and Duration: ongoing, 3 months to create and launch the MVPSolution: Stock Trading PlatformTechnologies: .NET Core, C#, MS SQL Server, Microsoft Azure, React.jsProject Team: 3 Developers, 1 Business Analyst, 2 QA Engineers, 1 Project ManagerRead the full case study - https://itexus.com/portfolio/system-for-algorithmic-robo-intraday-stock-trading/
Machine learning can automatically create and refresh an algorithm for solving a complex problem based on a large volume of data. It’s not necessary to search for business-important patterns. Instead, a team of qualified professionals should prepare the right data set for training and automate the entire data processing and application process. But at the same time, it is very important to ensure the quality of data and continuous quality control of algorithms.Domain: FintechEngagement model: Fixed Price for the MVP stage,Time & Materials for other stagesEffort and Duration: ongoing, 3 months to create and launch the MVPSolution: Stock Trading PlatformTechnologies: .NET Core, C#, MS SQL Server, Microsoft Azure, React.jsProject Team: 3 Developers, 1 Business Analyst, 2 QA Engineers, 1 Project ManagerRead the full case study - https://itexus.com/portfolio/system-for-algorithmic-robo-intraday-stock-trading/
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