Mix various individual PING strategies in an attempt to provide higher returns with lower risk.

Most investment strategies struggle in choppy environments where day-to-day direction changes dominate price action. Nonetheless, short-term counter-trend strategies thrive in these environments, offering a systematic approach to harvesting returns from back-and-forth price movements. Particularly in equity markets where day-to-day direction changes are common, counter-trend models generate returns by trading in the opposite direction of recent price movement. These systems produce high accuracy, short duration trades and recover from drawdowns quickly.

Global equity indexes contain a significant amount of day-to-day price chop, but they still exhibit longer-term trends due to herding of market participants. Traditionally, investors utilize intermediate to longer-term trend following models based on equity price data. However, these models tend to be susceptible to significant lag at turning points causing investors to miss the first 25-33% of a trend. Our hybrid momentum model capitalizes on much shorter-term trends by using data from bonds issued by companies. This credit data is less noisy than equity price data which improves the efficiency of our model. Finally, trends in credit indicators often lead directional changes in equities.

One measure of investment risk is stock market volatility. Volatility allows investors to measure the level of fear or stress in the equity markets with higher levels equating to greater expected risk. Recent innovation has provided investors with the opportunity to trade stock market volatility and the instruments traded are widely utilized to provide a form of insurance to investor portfolios. Investors misprice this insurance and most often overpay to compensate for persistent human biases. Our model calculates the degree of mispricing and provides an opportunity to profit during periods when mispricing is significant.