An efficient tool to time markets
At Spectralwaves we dedicate ourselves to analyze market cycles in order to provide timely investment opinions.
an effective method for market timing
Spectralwaves is a tool that helps you identify trends and assess risks and rewards, based on a high-level statistical analysis. Our unique software, advanced analytics and a top customer support are what constitutes our success.
The service is aimed at institutional investors and industry professionals who seek to make better decisions based on a reliable model.
Dr. Gömöri’s Methodology
Continuous Client Support
derived from The Behavioural Finance Theory, Benoit Mandelbrot’s chaos theory, pattern recognition methods, and years of Dr. Laszlo Gömöri’s research
-Early trend recognition
-Timing of future market tops and bottoms
-Calculation of price targets
Our powerful filters are helping investors to recognize efficiently uptrends and downtrends in financial assets. The use of graphs based on weekly, daily and hourly price data provides the possibility to work in different investment time horizons:
– Weekly (up to two years)
– Daily (up to six months)
– Hourly (few days up to a few weeks)
inspired by a unique development
of Dr. Laszlo Gömöri
Founding Spectralwaves was inspired by a unique development of Dr. Laszlo Gömöri: his own, proprietary statistical timing methodology.
Mr. Gömöri has over 20+years of experience in financial markets, working for UBS, Sarasin and Pictet, where he held the CMO position. He holds a Doctorate in Corporate Finance from the University of Basel and an MBA from Babson College (USA).
In 2010 Dr. Gömöri developed his own proprietary statistical timing methodology. After successful testing, the technology was computerized and Spectralwaves came to life.
Since 2015, it is assisting institutional clients, providing them with a complex service to time markets.
Mr. Gömöri is still personally engaged in our services, providing support to our customers.
Laszlo Gömöri (PhD, MBA) joined Spectralwaves in 2015. Before he founded a precursor company, Fractal Advisory (established in 2002), an investment advisory service for institutional clients. Prior to that he worked in the institutional asset management departments of Swiss banks SBC (today UBS), Sarasin and Pictet. In the last, he held the position of Chief Marketing Officer. Laszlo started his professional career as assistant to the Chief Economist of Sandoz (today Novartis) while working on his doctorate thesis as a teaching assistant at the University of Basel.
Laszlo Gömöri holds a Doctorate in Corporate Finance and a Master in Economics from the University of Basel and a MBA from Babson College (USA).
Karolina Glusek (MSc) founded Spectralwaves in October 2015. She conceive algorithms and developed business strategy of the company. She is responsible for research and for the generation of investment opinions. Prior to that, Karolina worked in investment banking at HSBC, in Finance and Controlling at EY and in brokerage at Alior Bank in Poland.
Karolina Glusek finished Warsaw School of Economics with honours in Project Management and International Financial Markets. During her studies, she was a statistics tutor on academic level. Currently she works on a PhD thesis on the underlying statistics of Spectralwaves’ technology.
Roland Armbruster holds a Master of Arts in Economics from the University of Basel and a Certificate as a EFFAS Financial Analyst (AZEK).
Alfonso Giráldez graduated as a computer engineer from the Universidad de Comillas in Madrid. In addition, he achieved a diploma at the Stanford D-School in Berlin as a project partner of the Hasso Plattner Institute for Design Thinking.
David Ferre obtained a Master’s degree in Applied Statistics, as well as Psychical Sciences and Psychology from the Complutense University of Madrid. Additionally, he got a Specialist Excel Certificate from Microsoft (MOS).