Visualizing Numerical Data

MindMaps Charts SKM

Timeless Forecasts
 

Financial Data Intelligence for Short Term Traders and Long Term Investors 

Timeless Forecasts is a web service on www.3dmetrics.net
developed by
3D Metrics Ltd
 
Please ask for a user name and password on the demo account
by emailing sabine at 3d-metrics.com

The Service is the outcome of:

bulletResearch into the foundations of mathematical and metrical thinking
bulletA sequence of software prototypes,  leading to the current forecasting 'engine'
bullet Co-operation with consultants contributing expertise from the financial world.
 

 More on the scientific potential and CV on www.sabine.homechoice.co.uk

What it provides:

bulletAs a web service, it will offer a customisable toolbox for inputting data from different prices to create projections over different time intervals
bulletIt delivers financial forecasts through graphical charts and corresponding analysis in statistical form
bulletIt will produce a systematic basis for Trade What, Buy If and Sell When decisions.
 

Unique Features:

The financial forecasts allow

bulletAny Input -  the source data can cover any time interval, e.g. hourly, daily, weekly, 2-weekly or 4-weekly: daily input produces daily output, weekly input produces weekly output, etc.
bulletVerification of the forecasts through the production of a Reliability Factor, i.e. providing a ‘numerical attribute’ which indicates, for each financial instrument, a variance between forecasts and actual historic data
bulletTrading Ranks to inform Trade What, Buy If and Sell When decisions.
 

Verifying the Forecasts:

An example:  the stock values for 11 US companies were analysed manually, producing 7260 forecasts, over 5 time periods. For values relating to 8 hour-, 1 day-, 1 week-, 2 week- and 4 week- results, the quality of forecasts against actual performance results was measured.

This showed that the 'engine' produces:

bulleta high degree of absolute numerical accuracy  - which on average was 85%
bulleta high degree of correctness of trend direction - which, on average, was 80%.

This quantitative evaluation can be finely tuned
so that the reliability factor informs the decision of what and when to trade.

To view enlarged charts and detailed evaluation figures from this verification.

The Company

3D Metrics Ltd is a joint venture company based on the Intellectual Property rights contained within Sabine McNeill's 'SKM', providing opportunities for business development on a global scale.

For further information and testing forecasts please email sabine X 3d-metrics.com
[X instead of @ to prevent spam]