Overview The exchange-exchange binding allows for messages to be sent/routed from one exchange to another exchange. Exchange-exchange binding works more or less the same way as exchange-to-queue binding, the only significant difference from the surface is that both exchanges(source and destination) have to be specified. Two major advantages of using exchange-exhhange bindings based on experience… Continue reading
Post Category → Python
Introducing Ark Agent: Current & Historical Stock Market EOD Data Application
Ark Agent is an application used To Collect Current and Historical End Of Day Stock Data leverages Celery and MongoDB to provide end of day and historical market data for stocks. It also uses finsymbols that I wrote a while back Finsymbols Please see the nicely formatted documentation on GitHub for more details Ark Agent Wiki… Continue reading
Intro : Celery and MongoDB
This post serves as more of a tutorial to get a Hello World up and running while using Celery and MongoDB as the broker . Celery has great documentation but they are in snippets across multiple pages and nothing that shows a full working example of using Celery with MongoDB which might be helpful for new users… Continue reading
Obtain Finance Symbols for S&P 500,NASDAQ,AMEX,NYSE via Python
I recently completed Computational Investing Part 1 which further tickled my curiosity. Before completing the course I had started to play around with a few ideas. To do any kind of analytics with finance relating to the stock market you require symbols. Created a simple module that uses BeatifulSoup to parse the list of S & P… Continue reading