Our Approach

Markets are notoriously unstable, both in terms of the direction of change (up or down) and in terms of the amount of change (a little or a lot). In short, no one can accurately predict what the market will do.

However, markets do enter - and exit - periods of stability in which they are said to be "quasi-stationary." In such periods, you still can't predict the future but you can estimate the odds - and, if you know or can calculate the odds, your market decisions will pay off on a much higher basis than is normally the case.

Unfortunately, those "quasi-stationary states" are masked by lots of noise -- they are not easily detected or assessed so that meaningful odds can be calculated. As a result market participants are continually spending millions monthly in an attempt to decipher the noise so that better decisions can be made.

Fortunately, we have developed a Camouflage-Breaking Algorithm (CBA) that is a way of stripping away that noise so that decisions can be made during highly favorable periods with stable and trend stationary market dynamics. Look at the chart below to see how this this breakthrough makes it easy, even for untrained eyes to see such periods.

A picture may be worth a thousand words -- but not all are equal. To easily sort out favorable from the unfavorable dynamics the black ellipse called the Dynamic Force Field (DFF) inside the above chart is used make each highly transparent to the human eye. If you show this visual to a kid about 10 years -- they would only need to look at its color code and direction to tell you whether it going up or down.

This means it's not how complex markets may be -- but rather how the information masked by noise is uncovered and represented so that what is going on is clear the human eyes. To further reduce complexity -- we map both the favorable and unfavorable market dynamics to single variable called the advantage. This means that you do not have to read charts to know what to do because our mathematical and visual explanations of the advantage are equivalent.

This occurs because the transparency of what going on makes it possible for us define the advantage dynamically so that when the magnitude of the payoff odds is high -- the most favorable periods exist. The only way possible for the high advantage to remain so is for price dynamics to extend the length of the force field dynamically because it is stationary.

With a high advantage, all the major obstacles such as market noise, randomness and non-stationary market dynamics will typically be contained. The average payoff will be much larger than your average loss. That's all you need to operate similar to casinos in the sense that if you keep your standardized risk small -- you will able to replicate your edge over the long haul.

You can efficiently control the slope and variability of your equity curves -- using the advantage to make decisions and limiting your average per trade loss to one (1%) of risk capital. We make it possible for you to customize your position size -- without knowing what that amount is. All you really have to do is reduce your exposure to market risk on a per trade basis using our formula -- so that no individual trade or market shift will affect the house edge that you will have as you systematically repeat this process.

You as a potential user want to know exactly why it works and how you can benefit. We separate these two issues. 1) What's under the hood of our technology -- which provides insight into our mathematical models. 2) How you can benefit which -- provides only the details you need to know to make money. Simply use the captions in our left column menu to read more details on the issue(s) of interest to you. Also use our menu links to explore how these benefits will improve your performance -- then sign up today for a 30 day free trial to get started.