Cryptocurrencies
Internet Search
Statistical Analysis
Business Intelligence
Financial Information Extraction
Asset Risk Management
Credit Card Payment
Web Data Collection
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Recent Projects
Financial Statements Extraction Utility
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.
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.
Novel LLM-based Analytic System to Support Asset Price Prediction
System: Specific details are protected by NDA. However, this system - developed over a number of years - involved creation of a unique architecture utilising LLM technology in a novel way.
Client: NDA Protected
Technologies: Llama3-70B (and other LLM and ML models), vLLM, Python, Transformers, Algorithms
Problem: NDA Protected - but relates to asset price prediction
Solution: The innovative approach involved making an analogy between the "fuzzy" system we needed to model, and certain more rigorously defined mathematical/physical systems. Specific details are NDA protected. For the implementation we took advantage of per-hour cloud GPU rental to perform the necessary heavy processing as cost-efficiently as possible.
Business Team
Hall of Achievements
Yury Kisurin

Coding Challenge
Marton Papp

Coding Challenge
Abhinav Thakur

Stripes Waypoint
Joel Pacheco

Gauntlet Waypoint
Andrew Bilous

Creativity
Victor Khachatryan
