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.
Continue reading A Random Walk Down Wall Street – First Run Analysis Using Stock News Sentiment System
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.
Continue reading Part 8: From Microservice to Microservice Ecosystems – Using Docker Compose To Orchestrate a Microservice Harness
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’
Tone Analysis Docker
Web Content Extractor and Scraper Docker
In Part 1 of this series we created a simple Go function to extract the content of a web page. In this posting, we are going to take that function and use the nicely developed http package of golang to expose that function as a microservice. Continue reading Part 6: Creating a Go Web Content Extraction Microservice