Where intelligence meets the markets.
We research and build state-of-the-art technology for finance — natural language processing, expert systems, fuzzy logic, neural networks and genetic algorithms — and put it to work for our clients.
Decades of research. Built for decisions.
Advanced Finance was founded in 1998 to explore the state of the art in technology and artificial intelligence applied to finance: natural language processing and expert systems that analyse qualitative information and support investment decisions, alongside fuzzy logic, neural networks and genetic algorithms.
In 2005 Paolo Coletti joined us as an associate, bringing expertise in natural language understanding and quantitative stochastic methods.
Today we provide consultancy to clients who want to improve their systems, processes and code, and we are proud to deliver cutting-edge solutions to the financial industry and beyond.
Four disciplines. One edge.
01 / 04
Natural Language Processing
Reading the news the way a trader does: extracting, summarising and interpreting qualitative information as it happens.
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02 / 04
Expert Systems
Knowledge-based systems that emulate expert thinking, pairing a knowledge base with an inference engine.
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03 / 04
Stochastic Methods
Statistical models, genetic algorithms and neural networks that forecast values and signal approaching events.
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04 / 04
Network Analysis
Networks and trees built from prices and volumes, revealing how companies, countries and currencies are connected.
ExploreTurning headlines into structured signals.
News, rumours and facts move markets faster than any model. Information extraction reads each sentence, identifies what matters and fills a structured template a system can act on.
Information Extraction in Finance
Traders are overwhelmed with news, yet their decisions must be immediate. Written for financial organisations and business analysts, this book introduces the algorithms that automatically extract the information that matters from Internet news and deliver it in a well-structured form.
The minds behind the models.
Natural language processing, fuzzy logic, advanced user-interface modelling, algorithm theory, computer science and advanced statistics.
Marco Costantino
A specialist in natural language processing and information extraction applied to finance. Senior management roles at several international investment banks, and hands-on equity-derivatives trading experience at JPMorgan in London.
Full profilePaolo Coletti
A mathematician researching computer science applied to financial modelling at the Free University of Bolzano: concept extraction from financial news, statistical models for financial decisions and technical analysis.
Full profileResearch, published.
Peer-reviewed journals, international conferences, a PhD thesis and a book — from financial information extraction to the network analysis of stock markets.
Comparing minimum spanning trees of the Italian stock market using returns and volumes
Paolo Coletti — Physica A: Statistical Mechanics and its Applications, 463, 246–261, 2016.
Information Extraction in Finance
Marco Costantino, Paolo Coletti — WIT Press, 2008, ISBN 978-1-84564-146-7.
The LOLITA User-Definable Template InterfacePDF
Marco Costantino — Journal of Computing and Information Technology, Volume 9, No. 1, 2001.
Natural Language Processing and Expert System Techniques for Equity Derivatives Trading: The IE-Expert SystemPDF
Marco Costantino — International Conference on Information Technology Interfaces, June 15–18 1999, Pula.
IE-Expert: Integrating Natural Language Processing and Expert System Techniques For Real-Time Equity Derivatives TradingPDF
Marco Costantino — The Journal of Computational Intelligence in Finance, Vol. 7, No. 2, pp. 34–52, March 1999.
Expert advice for your next system.
We provide consultancy to clients who want to improve their systems, processes and code — or any other area where expert advice makes the difference.