Stock predictor using Neural Network
-
Updated
Dec 14, 2017 - Java
Stock predictor using Neural Network
Stock prediction using JavaML and WEKA.
3rd Year University Undergraduate dissertation project, supervised by https://www.nottingham.ac.uk/computerscience/people/thomas.gaertner focusing on using Natural Language Processing, AI Portfolio Optimisation and Machine Learning to produce an Automated Trading Agent. Received 89% overall.
PDL is stock market application
Imagine the Company designed on algorithm allowing to predict future stocks prices. The solution is rapidly getting popular and decision was made to commercialize it. Company plans to introduce a customer pricing model. Design and implement a reusable REST API
This is Stock Jesus, the one who can predict the stock market. By analysing with different factors, I ensure you that Stock Jesus can provide you with insight.
Add a description, image, and links to the stock-prediction topic page so that developers can more easily learn about it.
To associate your repository with the stock-prediction topic, visit your repo's landing page and select "manage topics."