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Toronto - Our research approach utilizes conventional statistical methods in conjunction with a unique focus on adaptive algorithms. This highly proprietary technology combines the power of artificial intelligence together with the principles of robust statistics to generate strategies that can learn from the ever-changing market environment.

Finding the Happy Medium

Posted on February 16th, 2012

One of the most important measures in finance is the notion of a central tendency. This is used in some form in both statistical applications and also in technical indicators. The most basic example is the mean– or the simple average of a set of data points. Other measures include the median– the middle or [...]

Portfolio Dynamics Can Be Difficult to Understand

Posted on January 24th, 2012

“The risk of a portfolio is not a linear function of the vector of its components. Rather, the variance of a portfolio is a quadratic function of its composition. This thwarts the intuition of most Analysts and Investors. Indeed, the nature of risk may be the single most important argument for the use of quantitative [...]

Fractals & The Importance of Time Frame Diversification

Posted on December 20th, 2011

Investors and traders often take a one-dimensional view of time frames in the stock market. The media pundits often refer to the fact that it is a “bull” or “bear” market as if there was only one time frame required to make such an assertion. Contrast that with the fact that both traders and investors [...]

“Jack Welch” Portfolio Algorithm

Posted on October 13th, 2011

Jack Welch is one of the most recognizable names in business as the former CEO of General Electric. His skills and leadership in running one of the largest companies in the world have been the source of numerous books and case studies in the business literature. Running such a large corporation like GE that makes [...]

Simple “Follow the Leader” Algorithm

Posted on October 12th, 2011

A desirable goal of relative strength investing or any type of portfolio algorithm would be to track the best stock/asset from a group of stocks/assets in hindsight. In other words, we wish to use an approach that can “follow the leader.” This goal is a close relative of universal portfolio algorithms (see Universal Portfolios http://www.stanford.edu/~cover/portfolio-theory.html  that [...]

What Can Quant Firms Learn From Steve Jobs?

Posted on October 6th, 2011

I was very sad to hear the news that Steve Jobs- the  former CEO of Apple Computer– passed away today.  His life was an incredible story of innovation, and the ability to triumph in the face of constant adversity. The legacy that he left cannot possibly be missed– you can’t walk outside or inside for [...]

Anchored Relative Strength Theory

Posted on October 1st, 2011

I will preface this post by saying that this is a concept that I have not yet had a chance to test out. That said, I usually start first with a theory or a logical observation and proceed to creating a quantitative method to capture that insight. The concept relates to everyone’s favorite topic–relative strength [...]

Near Zero Interest Rates & Diversification

Posted on September 26th, 2011

There is an interesting relationship between the “risk-free” rate (t-bill rate) and the benefits of diversification. When rates are close to zero, the risk reduction benefits from low or anti-correlated assets can offset the requirement for those assets to have a sufficient expected return to make diversification practical for enhancing risk adjusted returns. This extends [...]

Livermore Active Issues Index for Friday, Sept 23rd

Posted on September 23rd, 2011

Livermore Active Issues Index for Friday, September 16th

Posted on September 17th, 2011

Some Thoughts On The Demise of Goldman Sachs’ “Global Alpha”

Posted on September 17th, 2011

I read an article that Goldman Sachs’ flagship “Global Alpha”  fund http://www.cnbc.com/id/44545789  was closed today following some hefty losses this year.  To many it is a dark day for quantitative trading/investing when the so-called “best and brightest” are hanging up their gloves. I wouldn’t read too much into this because Goldman likely saves its best and [...]

Livermore Active Issues Index for Friday, September 9th

Posted on September 9th, 2011

Livermore Active Issues Index for Friday, September 2nd

Posted on September 2nd, 2011

Livermore Active Issues Index for Friday, August 26th

Posted on August 27th, 2011

Livermore Active Issues Index for Friday, August 19th

Posted on August 19th, 2011

Follow-Up FAQ: “Forecast-Free” Algorithms vs The Minimum Correlation Algorithm

Posted on August 16th, 2011

With so many comments and questions regarding the last post http://cssanalytics.wordpress.com/2011/08/09/forecast-free-algorithms-a-new-benchmark-for-tactical-strategies/ , I decided to take the unusual but more functional approach of writing a FAQ to address these issues for both those that were kind enough to  make intelligent contributions and to new readers. Note that it was brought to my attention that fellow [...]

Livermore Active Issues Index for Friday, August 12th

Posted on August 12th, 2011

Forecast-Free Algorithms: A New Benchmark For Tactical Strategies

Posted on August 10th, 2011

We all spend most of our time creating strategies with the promise of “alpha”—excess returns adjusted for risk to some benchmark. The most desirable strategies for many traders/investors are tactical asset allocation models because they are easy to implement and tend to be more reliable than capitalizing on short-term effects that are constantly in flux. [...]