Just a quick update for those of you following our stock sentiment analysis system, I have provided an updated spreadsheet on the statistics for our 5 case study stocks here. I will be updating the values for the 5 stocks on an every few days basis.
I figured I would go off and run the tool on a few prominent tickers, make a prediction for a time period, and revisit later to see how those predictions fared.
Keep in mind, this is rather unscientific. I’ll be updating throughout the day as the analysis finish. Largely a task illustrating how long this takes to do without architectural enhancements we do in upcoming steps.
In our previous post we finally began to see the individual microservices coming together to create an abstract plausible data flow. In this post, we are going to chain our microservices together to run an entire calculation stream sequentially. We are going to illustrate how to orchestrate a collection of microservices using Docker Compose, and we are going to illustrate how to use the Docker Registry to avoid recreating the wheel when creating microservice ecosystems.
In our series we have constructured two microservices. The first would submit a string of text, or a message, to IBM Watson’s tone analysis service and report back tonal analytics based on the input. The second microservice would accept a URL and return a text scrape of the content of that page. Continue reading Part 7: Creating a Latest Stock Ticker News Microservice
Just a quick post for those of you that have been following the Microservices with Watson, Python, Docker, and Go – I have added images to the Docker Hub repository. You can now pull down the microservices and deploy them with out having to do anything other than a ‘docker run’