
 

"The relationship to an asset's own historical behavior is the key."
Our trading cycle indicator is one of the most advanced technical screens in the world. Nearly two decades in the making, it blends together 6 factors across multiple time frames to classify an asset’s current position relative to moving averages and its historical cycles.
We look at the relationship between price and the weekly/monthly simple average to determine short-term behaviour; and quarterly/annual simple averages for longer-term. A standard deviation benchmark establishes the historical extremes. Once an asset is classified based on its historic trading patterns, it is adjusted for relative performance and current overbought/oversold conditions using Welles Wilder’s RSI calculation.
 

"Market breadth gauges the strength of the wind propelling an investment. It’s an essential quality check we use when building our probability sets, and reveals a great deal about the behavior of the 'herd' in the market."
When evaluating the constituents of an ETF we model several types of market breadth:
%A:
The percentage of market cap in an ETF that is up or down on a given day, averaged for one and three month periods. This compares the price performance of the sector with the percentage of the sector advancing and declining. On the most recent decline, the average daily breadth in the past month made a lower low than did the price of the index that represents the ETF, suggesting more stocks decline on weak days than rise on strong days.
52-week high/low %:
Are more or less stocks making new highs within the sector than on previous rallies? This gives us more insight into the underlying metrics of the sector. We know that when 30% or more of the sector is making 52-week lows, that we are close to a major bottom for the sector based on the historical performance metrics in past cycles. This alerts us early to potential value buying opportunities.
 
In the example (left) over 65% of the weight in the ETF was oversold based on RSI at every turning point over the past year. Recently, both OB and OS have diminished in intensity - indicating a potential weakening of strength within future rallies.