Spectralwaves is an investment analysis service for institutional clients, based on a computerized statistical analytics tool. We dedicate ourselves to analyse risk return patterns and forecast future price movements.

Our original and proprietary research is the key distinctive feature of our analysis. To accomplish that endeavour we use machine learning algorithms based on the most prominent findings of the Behavioural Finance Theory. The opinions are published on our website in form of graphs to visualize better the most probable future trajectory of the analysed asset.


At Spectralwaves we devote ourselves to forecast future price movements using historical data.

The background of the forecasts is based on the theory of Behavioural finance with its two main propositions:

  • Prices either follow trends
  • or they revert to the mean in extreme conditions.

Using traditional time series analysis and channel techniques trends are identified and, with the help of linear regressions, extrapolated to the future. Extreme price swings are detected using one and two sigma envelopes. The crossing of the two envelopes gives a signal of an extreme overbought or oversold situation, which typically leads to a mean reversion in prices. It also helps to evaluate the risk/return ratio of any given price. The volatility measure that is calculated with the channels is used to forecast price targets.

The analysis of historical cycles enables us to forecast the timing of future tops and bottoms. Benoit Mandelbrot’s findings in his chaos theory that patterns tend to repeat and that seemingly random price movements have a logic, are also used to make a forecast of future price movements.

With the help of time series analysis trends and cycles are identified, as well as future tops and bottoms. This analysis enables calculations of risk return ratios for any given price. The historical trend and the volatility measures are used to forecast future trends and to evaluate price targets. Timing forecast is based on cycle analysis.

We use Benoit Mandelbrot’s chaos theory, findings of Behavioural finance theory and pattern recognition methods to derive our market opinions.


All investment professionals have strong analytical backgrounds and have a full set of complementary skills, ranging from investment management to risk management, financial mathematics and software engineering.







‭+41 22 347 56 45

Business Hours:
8:00 a.m. – 6:00 p.m.

Laszlo Gömöri

Business Consultant

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

Quantitative Analyst

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.

Alfonso Giráldez

Chief Technology Officer

Alfonso Giraldez joined Spectralwaves in October 2015 as Chief Technology Officer to implement the algorithms and to launch the company’s website. He previously worked for over 15 years as a software engineer at IBM and Dell in Spain.

Alfonso Giraldez 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 Ferré

Quantitative Engineer

David Ferre joined Spectralwaves in October 2015 as a Quantitative Engineer. In this function he is responsible for the company`s mind and graphical support. Before moving to Spectralwaves he worked at the research department at the Madrid National Univeristy.

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).