Consultancy and Research Services

The Cycles Analysis Software system is used to provide Institutional Investment and Portfolio Managers sample baskets of assets geared to their Investment Strategy and particular risk appetite for the follow-on trading window.

The Cycles Analysis Software System carries out independent Cycles and Price Projection analyses that are merged into one list and divided into the asset classes appropriate to the client’s Investment Strategy. Seasonal data and other proprietorial overlays are added following a manual review of the list. The resulting list of appropriate high probability trades are placed into clusters aiming to achieve client’s target levels of risk and correlation of assets.

The Cycles Analysis Software System uses a range of testing and modeling techniques to create an optimum basket of assets for consideration by the Investment and Portfolio Managers.

The Cycles Analysis Software System modeling process can assist with providing suggested allocation of funds between assets to achieve the desired targets.

Investment Managers are able to feedback their investment decisions to Cycles Analysis so that the Cycles Analysis Software System is able to give asset specific alerts and signals for the Investment Managers to act upon under their own discretion and risk.

Cycles Analysis also uses the software suite to provide asset and asset class specific reports, alerts and signals to selected clients for their informational purposes.

Our Methodology

We have received several enquiries regarding the methodology of our work. Below is a brief overview of how the Cycles Analysis Trading System works.

We start off by creating a forecast using a series of techniques. More often than not, the forecast itself will give us a clear roadmap for a particular market. We often generate more than one curve. We look to see where these coincide or align. These are the points where we anticipate changes in trend –sometimes our curves converge and sometimes they diverge. Regardless of the curve direction we look to see the coinciding dates of inflexion points i.e., an inversion may occur. Thiis is not a problem for trading as we know the actual market direction into the turn point.

Market DNA

The next phase of our process involves looking at what we call the “DNA of the market”. In this phase we identify recent cycles that are prominent and then project them ahead. These cycles cover a multitude of timeframes and time cycles.

We then project them ahead in time and look to see where multiple cycles cluster.

The clusters themselves, several of which are displayed in the members area for website, usually identify significant forthcoming turning points. These are times when we believe existing trends are at risk or when new trends are about to commence. The cycle points are calculated in a completely different way to the forecasts. Where both the forecasts of the cycle AND turning points coincide we have very high probabilities for market forecasting and timing purposes. We then use mathematical structures to generate areas of price support and resistance.