© Manuel Amunategui, Mehdi Roopaei 2018
Manuel Amunategui and Mehdi RoopaeiMonetizing Machine Learninghttps://doi.org/10.1007/978-1-4842-3873-8_5

5. Case Study Part 1: Supporting Both Web and Mobile Browsers

Manuel Amunategui1  and Mehdi Roopaei2
(1)
Portland, Oregon, USA
(2)
Platteville, Wisconsin, USA
 

Predicting the stock market with web and mobile platforms support on PythonAnywhere.com.

For the first part of our case study, we are going to create a simple trade alerting system. The tool will scan a number of stocks and alert the viewer of any interesting trade setups. The design will be kept simple to work well on both regular and mobile web pages (Figure 5-1).
Figure 5-1

The final web application for this chapter

Machine learning and quantitative trading ...

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