Web Data Collection
Credit Card Payment
Statistical Analysis
Asset Risk Management
Cryptocurrencies
Business Intelligence
Financial Information Extraction
Internet Search
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Recent Projects
Stock Price History Pattern Matching Utility
System: Stock price history pattern matching utility
Technologies: Python (asyncio matplotlib mplfinance pandas...)
Problem: Build a system which identifies stocks that are currently in the process of repeating previously observed price history patterns, based on low-high and high-low trend time intervals.
Solution: Our solution involves iterative analysis of a large large database of stocks, gathered from web sources. Price histories are divided into progressively smaller time period bins, with duration labelled the "granularity" of the iteration. The pattern of trends across bins is compared with recent price movements to identify matching segments. We then used a visualisation system based on Japanese "renko" diagrams to depict matches in an easy-to-digest format.
Note this is a bespoke system created upon request; we provided no advice on stock selection methods.
Assembler's Factory Floor Time-Tracking App
System: Assembler's Factory Floor Time-Tracking App
Client: Whippendell Marine
Technologies: Raku, CRO, Template::Nest, jQuery, CSS, MySQL
Problem: Create an application that interfaces with the company's existing Teamwork-based project management system and enables assemblers to log time spent on jobs - with design according to client spec.
Solution: A set of "Element" modules were created in Raku which inherited from a base module responsible for making calls to the Teamwork API. Syncing of local application data was accomplished with an independent daemon looping over and caching necessary user and project information in a MySQL database. Server-side rendering created dynamic content with Template::Nest, and the front end assembled HTML chunks delivered from the backend with jQuery. The system was designed to be deployed to Android-based tablet as a PWA app.
London Congestion Charge Notification App
System: iOS and Android app to provide alerts when entering the London Congestion Zone
Client: Outbound BPO Ltd
Technologies: Rust, Javascript, Cordova
Problem: Drivers in London may find it difficult to keep track of and avoid the London Congestion Zone boundary
Solution: The system takes advantage of an Open Street Maps tiling server and Cordova's Geolocation Plugin to track the user's location in London. A push notification is sent when user approaches the Congestion Zone boundary.