Company

System: iOS and Android app to allow users of a SaaS platform to enter OTPs remotely

Client: MePATool

Technologies: Apache Cordova, Javascript, Perl

Problem: Users need to provide OTPs to automated processes so they can log in to the target portal.

Solution: When automated processes encounter a request for an OTP a push notification is sent to the users device. The user is able to provide the OTP directly in the app and this is relayed back to the waiting process, which can then proceed.

System: A utility to accurately extract financial information from company financial statements in arbitrary format. Specific details are subject to NDA.

Client: Protected by NDA

Technologies: Raku, Python

Problem: The arbitrary format of company financial statements presents a problem for automated analysis

Solution: Our solution takes advantage of the standard accounting terms classification system as well as known financial mathematical relationships to produce output above a certain desired accuracy threshold. Specific details are NDA protected.

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.