Four pieces of prototype software form the basis for a variety of business propositions. However, due to the generic nature of my software innovations, it has proved to be challenging to bridge the gap between the scientific appreciation of conceptual innovation and the financial emphasis on bottomline thinking:
- 3D TimeData – which I wrote 3 laptops ago with the aid of a former colleague from CERN, the European Centre for Nuclear Research in Geneva, where my professional life began.
- Visual Data Intelligence– which a young German geek wrote for me on the basis of 25 Word documents. It demonstrates three unique methods:
- ‘layering’ numeric data of any system of complexity and any number of dimensions
- ‘forecasting’ time series derived from any measuring process – any application – at any interval
- ‘re-visualising’ digital images with more detail and depth – for automated processing with new numerical metadata and qualitative quantifications.
- 3dmetrics.net– a web application which Simon Hull wrote to demonstrate a financial application
- building a personalised portfolio
- downloading market data from Yahoo
- producing daily and weekly projections.
- Forecasting Engine – the ‘core process’ of Visual Data Intelligence’ re-written by Nik Wislang, a senior developer of a major hedge fund company
- with new ‘tweak options’ so that the engine can learn from historic data
- accessing data from a data base rather than individual files.
These software methods are the result of ‘computer-aided thinking’ in private and independent research since November 1996. It could be described as ‘mathematical artistry’ or ‘software-based metrology‘.
In any case, it is the result of ‘outside the box thinking’ that turns out to be not only exquisitely simple, beautiful and elegant but also consistent. But being discovered outside the institutionalised framework of science, it presents a major challenge on many levels.