Technology

Technological Background

On this page, we will answer some of the more complex questions regarding the technologies used in our products. For many people, the analysis of financial data in particular has a certain aura of mystery about it. The contributions in this section are intended to show that the procedures employed are in fact scientifically established methods. Free of all speculation, these procedures bring to light only the kind of information that actually lies concealed in the relevant time series.

Preface: Creativity versus Imitation - Some Thoughts about the Potential in Neural Networks

1. Spectral Analysis of Time Series
2. Fractal Analysis of Time Series
3. Memory Structures in Neural Networks
4. Regression Forecasts for Anticipatory Memory Structures
5. Geometric Modelling of Time Series
6. Modelling of Fuzzy Time Series
7. Smoothing Time Series
8. Spiking Neurons and Pulsed Neural Networks
9. Principal Component Analysis
• Hebbian Neural Maximum Eigenfilter
10. Normalizing Time Series