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IIEC ANTONIO SIMEONE
Paolo Savona, Pierfrancesco Savona, Antonio Simeone, Rainer Masera, Michele Fratianni, George Tavlas, Jan Kregel, Donato Masciandaro, Giuseppe Italiano, James Hodson, Paolo Sironi, Monika Poettinger, Roberto Maiolino, Luigi Simeone, Kamran Usmani, Gianluca Teza, Roberto Di Pietro.
Ancora 1
Paolo Savona, Pierfrancesco Savona, Antonio Simeone, IIEC,  Italian International Economic Center
IIEC Italian International Economic Center
Paolo Savona, PierfrancescoSavona, Antonio Simeone, IIEC, IIEC ITALIA, Italia economia,
iiec the italian international economic center
iiec
Antonio Simeone

Director LUISS Quantum AI Lab

Adjunct Professor at Luiss Guido Carli University in Rome, teaching courses on ‘Data-Driven Models for Investment’, ‘Blockchain Technology & Fintech’, and ‘Fintech e Criptovalute’.

Founder of EUKLID LTD, CEO of Stoneprime US, a startup based in San Diego, California, utilizing Artificial Intelligence to invest in American biotech companies.

Founder and Director of the LUISS Quantum AI lab, a research laboratory dedicated to the application of Artificial Intelligence in financial analysis.

Founder since 2012 of the Luiss Bitcoin Lab - Discover Bitcoin, the first University observatory in Europe focused on the study of Bitcoin and cryptocurrencies from a monetarist and financial perspective, utilizing AI (Genetic Algorithms and swarm intelligence)

The Italian International Economic Center

is a research center dedicated to the developments of Data Science

and AI case studies in the various fields of Economic Policies and Best Practices

Paolo Savona, Pierfrancesco Savona, Antonio Simeone, IIEC,  Italian International Economic Center
HISTORY

MISSION

Our mission is to combine the potential of artificial intelligence to transform financial data analysis into forecasting, risk management, market sentiment analysis and financial fraud prevention models.

The forecasting models will be based on solid mathematical theories and advanced artificial intelligence techniques, which have already been tested to identify behavioral trends and structural composition of the financial and monetary market, providing precise information for choices to be made in an increasingly complex and volatile environment.

Financial risk management will use advanced IT tools, supported by high mathematics tools.

By exploiting AI (Artificial Intelligence) and advanced mathematical techniques, it is possible to assess financial risks more efficiently and accurately, allowing for timely preventive measures.

The market sentiment analysis must be conducted using sophisticated techniques and computer models to capture the moods of public opinion and investors.

Alternative data analysis, including satellite and geospatial, ESG, and social media, enables the formulation of increasingly efficient strategies.

Large language models can analyze vast amounts of unstructured data, to detect nuanced shifts in market sentiment.

Furthermore, these models can identify trends and sentiment changes more rapidly and comprehensively than traditional methods.

​

​The IIEC has a staff of data scientists who have been implementing forecasting algorithms in various subjects for years (trends in stock market prices, raw material prices, qualitative analysis - at a scientific level - of biotech companies, analysis of financial fraud).

IIEC has filed for a US provisional patent (No. 63/670,982) and our technology
is now officially patent pending.

To request additional informations write your e-mail address here

© 2025 IIEC SRL

IIEC SRL

via dei due macelli 9, Roma

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Paolo Savona, Pierfrancesco Savona, Antonio Simeone 

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