Automatically Generating A Financial News Corpus Using News Corpus Builder

I had to quickly develop a model that will be able to categorize articles across a wide range of financial  topics. Developing the corpus manually was not an option and writing custom crawlers  for specific  news sites would be a tedious process. Having had to create a different corpus previously and lacking  such a financial… Continue reading →

MySQL High Availability Architectures

Depending on your requirements there are various  architectures or ways that you can configure MySQL and MySQL Cluster. Below is just a summary of some of the most frequently used architectures to achieve high availability. MySQL Master/Slave(s) Replication MySQL master to slave(s) configuration is the most popular setup. In this design One(1) server acts as… Continue reading →

MySQL Cluster 101

What is MySQL Cluster [blockquote source=”Wikipedia”]MySQL Cluster is a technology providing shared-nothing clustering and auto-sharding for the MySQL database management system. It is designed to provide high availability and high throughput with low latency, while allowing for near linear scalability.[2] MySQL Cluster is implemented through the NDB or NDBCLUSTER storage engine for MySQL (“NDB” stands… Continue reading →

MySQL Cluster Getting Started [Redhat/Centos 6]

Installing 1.Download the RPM from MySQL.com [syntax type=”bash”]wget http://dev.mysql.com/get/Downloads/MySQL-Cluster-7.3/MySQL-Cluster-gpl-7.3.5-1.el6.x86_64.rpm-bundle.tar [/syntax] 2.Install the RPM  and dependencies [syntax type=”bash”]yum groupinstall ‘Development Tools'[/syntax] [syntax type=”bash”]yum remove mysql-libs[/syntax] [syntax type=”bash”]yum install libaio-devel[/syntax] [syntax type=”bash”]rpm -Uhv MySQL-Cluster-server-gpl-7.3.5-1.el6.x86_64.rpm[/syntax] This installs all the binaries that will be required to configure each component of the MySQL Cluster.  

RabbitMQ Exchange to Exchange Bindings [AMPQ]

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 →

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 →

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 →