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Responsive Web Search System for Stock Brokers

Azilen has developed responsive web search system for leading stock brokers in UK called “Stock Search Engine”. This system developed using PHP, Solr, and HTML5. Investors can search through granular criteria.<br><br>

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Responsive Web Search System for Stock Brokers

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  1. Stock Search Engine

  2. About Client The client is one of the leading stock brokers in United Kingdom. They provide a platform to their customers to sell funds, shares and other related products to the retail investors.

  3. Requirement There was a requirement of a system that allows the users to perform a search through granular criteria specified by them. User has to choose the necessary criteria and then specify the acceptable range. Based on it, the system will populate matching stocks to the users.

  4. Solution • The stock search engine had to provide screening on different stock types i.e. shares, ETFs, funds, bonds, investment trusts, venture capital trusts, warrants, etc. And each of the stock types had different set of criteria. For e.g., for shares there are earnings per share (EPS), while for bonds there are coupon rates and redemption dates to be searched for. • Solr provides fast and sophisticated text search with scalability. The query response time in case of Solr server is faster and more predictable against any SQL database where query speed depends based on design and use case. • The main challenge for the stock search engine was to deliver real time results and for that all the data needs to be accessed very fast.

  5. All the data was pulled from different data sources like Thomson Reuters, Digital Look, Proquote, MorningStar, InteractiveData, etc. and after merging the data and making a flat structure was injected into different Solr cores based on their respective stock types. • The solution to that was to index all the data into the Solr server and then front-end can query from data from the Solr server. Also, we implemented multiple Solr cores for searching of different criteria based on stock types. • To fetch all the data quickly, we chose Solr for indexing and storing the data over traditional RDBMS databases.

  6. Technical Architecture

  7. Tools & Technologies

  8. Benefits • Easy accessibility of digital documents as they centrally configured and managed. • Multilanguage provides support to reach wider audience. • Offline tests feature allows user greater flexibility in taking the test without internet connection. • Result generation and assessment of the patient is a rapid and dynamic process. • Multiuser support is provided for complete administration. • Convenience and portability provided to the clinicians.

  9. Let's Discuss Your Requirement!  info@azilen.com | +1-972-325-2243

  10. Original Source : http://www.azilen.com/case-study/stock-search-engine/

  11. Thanks You www.azilen.com

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