This is a case study of a live F# application for real-time early warning indicators of Liquidity Risk.
EWI used an F# Excel expression parser and computational expressions to generate a Cell network in memory that triggered indicator calculations from market events, that percolated up to RAG status changes.
The EWI model demonstrates features of F# that enabled rapid development:
• FSYacc/FSLex parser/interpreter/generator for Excel expression handling
• Computational Expression usage for type-inferred calculations
• F# integration with proprietary analytics & Excel function library
Stephen Channell is an independent software developer specialising in multithreaded system and Functional Programming integration with C++ libraries.
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