The
Applied Market Analytics, Inc. Advanced Heuristic Quantitative Analysis Platform
and Quant Command Language, collectively referred to as the “Quant
Workstation,” was designed to serve an entirely different clientele from that
of the standard Technical Analysis systems available in the retail market. First
of all, the Quant Workstation will never be available to the public, being
reserved for a very tiny group of sophisticated users. Second, its purpose is to
provide trading systems with performance that is uncorrelated to other systems,
most of which are trend following or otherwise price reactive.
Today,
the cost of computer cycles is quite small when compared to the cost of
“people cycles.” Productivity
within a quantitative analysis team is paramount. By design the Quant
Workstation is allowed to evolve, sometimes on a daily basis, during active
system development. Consequently, it promotes the highest level of quant
productivity.
During the early 1980s we struggled to develop profitable automated trading systems. We collected the best market minds available, designed very clever trading algorithms, back tested them ad nauseam, and lost large quantities of investor funds with them in the markets. Fortunately, we learned several important (though extremely expensive) lessons that inspired the development of this workstation. We learned that most trading system tools are influenced by incorrect market assumptions, are applied in the wrong problem-solving domain; violate subtle statistical principles and cybernetic “laws,” and use charting techniques which looked predictive when visualized but are incapable of trading profitably. One extremely important lesson we learned is that one cannot command discovery. Market inefficiencies are where quants find them. And when known, sophisticated market participants will eventually arbitrage the inefficiencies away. The Quant Workstation was designed to avoid past errors and to incorporate lessons learned.
The Importance of this Website to Your Business – As the markets become more volatile, you would do well to train
your quants to protect your portfolio against the ill effects of nonstationarity.
Exogenous
Data Based Models – The good and bad characteristics of Exogenous Data. (Don’t miss the interesting visualization of some SPX Index
Option data.)
Visualization
of Exogenous Data – In case you missed it above.
Quantitative
Analysis Platform – A user-friendly modeling platform for
improving the productivity of quantitative analysts.
Overview – Advanced Automated trading Systems.
Consulting
Services – Helping your quantitative analysts deliver a better product for your clients.
Trading
Model Building Services – Continuous and Discrete Models, using Price or
Exogenous Data.
Quantitative
Analysis Training Seminars – Topics covered in typical training seminars.
Model
Validation – A Catch-22 in the struggle between the Central Limit Theorem and the “Law” of
Requisite Variety.
Non
Trend-Following, Non Technical Analysis Methods – The difference that a non-price market view
can make in your portfolio’s success.