StockFink

StockFink

StockFink is a Spanish Artificial Intelligence Start-Up with a team of experts in A.I., trading and finance, IT, legal, corporate and international relations, design and digital marketing.

At StockFink, we have developed a methodology based on proprietary AI algorithms to help traders & investors make their own unbiased decisions.

We aim to democratize stock trading through AI.

For this, we have created an advisory product that exhaustively scans stocks across different markets in search of good opportunities. This way, we are able to simultaneously save time, increase confidence, maximize the return and minimize the risk of our clients .

We have a strong expertise in predictive models and uncertainty analysis for risk quantification in decision making, pattern recognition, deep learning and machine learning.

Founders

Lucas Fernández Brillet
He holds a PhD in Mathematics and Computer Science from the University of Grenoble Alpes (2020) through an industrial PhD program (CIFRE) in collaboration between STMicroelectronics and Grenoble INP on the design and implementation of Deep Learning systems for object detection and recognition in embedded systems. He previously obtained a Master's degree in Telecommunications from Bordeaux INP (2016) with a specialization in digital image and signal processing. He is the author of a commercial patent and has published in prestigious international conferences and journals on artificial intelligence, deep learning, computer vision and image processing.

His experience in a highly technological and innovative ecosystem at an international level, has led him to the world of Start-ups, where he has driven a series of potentially disruptive projects in the Artificial Intelligence sector. He is co-founder and CEO of StockFink.
Juan Luis Fernández Martínez
Juan Luis Fernández-Martínez received a PhD degree in mining engineering from the University of Oviedo (Spain, 1994). He previously trained as a petroleum engineer in France (Ècole Nationale du Pètrole et des Moteurs, Paris, 1988) and England (Imperial College, Royal School of Mines, London, 1989). After years of working as a computer software engineer in France, he joined the Department of Mathematics at the University of Oviedo in 1994 and where he has held the position of University Professor in Applied Mathematics since 2018. He is also a professor by the French CNU since 2013. During 2008-2010 he was a research professor at UC Berkeley-Lawrence Berkeley Lab and at Stanford University.

His areas of expertise include inverse problems, uncertainty analysis of complex systems, attribute selection and dimension reduction techniques, cooperative global optimization methods, with diverse applications in fields as varied as energy, oil exploration, biometrics, biomedicine and finance.

In biomedicine, he is interested in simplifying genome complexity for medical diagnosis and drug design in diseases for which there is no cure (www.deepbioinsights.com). In the world of AI, he is interested in the design of expert decision support systems (expert robots). In the world of finance he has been a promoter and co-founder of StockFink, where he is also a Scientific Advisor.

He has published more than 220 articles in international journals and has directed and co-directed more than a dozen doctoral theses and numerous final degree and master's theses on these topics, both nationally and internationally. He holds several US patents on uncertainty analysis in complex and high dimensional systems.
Lucas
Fernández

CEO/CTO



Industrial PhD in Deep Learning. Master in Digital Signal Processing. Telecommunications Engineer.



Juan Luis
Fernández

CSO



Professor of Applied Mathematics. Expert in Optimization and Uncertainty Analysis.



Leroy
Deniz

IT DEVELOPMENT
MANAGER




Computer Engineer. Master in Data Science.



Guillermina
Fernández

Computational Mathematician



Computational Mathematics. Master in Mathematics and Statistics.



Adolfo
Rodríguez

FRONT-END DEVELOPMENT


Computer Engineer.



Pablo
Escariz

LEGAL ASPECTS AND INSTITUTIONAL RELATIONS


Law Degree. Master in Financial, Banking, Securities and Financial Institutions Law.



Javier
Torío

HEAD OF MARKETING AND STRATEGY


Degree in Law. Master in Marketing and Digital Communication.



Belén
Ardiles

PRODUCT DESIGNER


UI/UX



Aida
Fernández

Strategic Management and Communication


MSC in International Relations



Gala
García

CONTENT CREATOR


Economist



Óscar
Méndez

BUSINESS DEVELOPMENT


Executive MBA, Master in Corporate Finance and Financial Markets, entrepeneur and investor



Aliaksandra
Skrypko

computational mathematics


Master in Mathematics and Statistics, Computational Mathematicsr



Founders

Lucas Fernández Brillet
At the age of 25, he received a Ph.D. in Mathematics and Computer Science from the University of Grenoble Alpes through an industrial doctoral program (CIFRE) in collaboration between STMicroelectronics and Grenoble INP on the design and implementation of Deep Learning systems for the detection and recognition of objects in embedded systems. His experience in a highly technological and innovative ecosystem at an international level, such as Grenoble, has led him to the world of start-ups, and has allowed him to promote a number of potentially revolutionary projects, including StockFink.

He previously obtained a Master's degree in Telecommunications from Bordeaux INP, specializing in digital image and signal processing.

StockFink was born from an internship carried out in 2015 by himself and directed by Juan Luis Fernández Martínez.
Juan Luis Fernández Martínez
Juan Luis Fernández-Martínez received his PhD degree in mining engineering from the University of Oviedo (Spain, 1994). He previously trained as a petroleum engineer in France (Ècole Nationale du Pètrole et des Moteurs, Paris, 1988) and England (Imperial College, Royal School of Mines, London, 1989). After years of working as a computer software engineer in France, he joined the Department of Mathematics at the University of Oviedo in 1994, where he holds the position of Full Professor in Applied Mathematics since 2018. He is also full-professor at the French CNU since 2013. During 2008-2010 he was a visiting professor and researcher at UC Berkeley-Lawrence Berkeley Laboratories and Stanford University.

His areas of expertise include inverse problems, uncertainty analysis of highly complex systems, feature selection and model reduction techniques, cooperative global optimization methods, with application in oil and gas, biometrics, biomedicine and finance.

In biomedicine, he is interested in the simplification of genome complexity for medical diagnosis and de novo drug design and repositioning in diseases for which there is no cure. In the world of AI, he is interested in the design of expert decision systems (expert robots).

In the world of finance, he has been a promoter and co-founder of StockFink, where he is also Scientific Director.

He has published more than 220 articles in international journals and has directed and co-directed more than a dozen doctoral theses and numerous final degree and master's theses on these topics, both nationally and internationally. He holds several US patents on uncertainty analysis in complex and high dimensional systems.

ACKNOWLEDGMENTS AND SUPPORT

Recognized with the EIBT mark Innovative Technology-Based Company
marca eibt stockfink

Funded Project: StockFink. Artificial Intelligence Platform to democratize stock market investment and predictive advice to investment funds. Technology-Based Companies Program of the Principality of Asturias (call 2021-2022)

StockFink is supported by the Posiciónate Online program of the Sociedad de Promoción Exterior Principado de Asturias SA (Asturex) and the Xpande Digital program of the Chamber of Commerce of Oviedo and the Chambers of Commerce of Spain.

stockfink xpande

Funded Project (Neotec 2022): Development of AI for prediction of stock market res value and other financial instruments with mathematical, NLP and DL techniques.

Supported by ENISA 2022-2027 (National Innovation Company)

ICNext-2022 preselected project