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McClellan Liquidity Indices

By RecessionALERT on October 28, 2019 in Research Papers

This is a complete short, medium and long-term stock market liquidity risk-management tool derived from the McClellan Oscillator methodology applied to daily advancing and declining volume on the SP-500. It has been depicted as a daily updated chart for standard subscriptions for over 7 years now. Each day, we compute daily advancing volume (sum of […]

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SP-500 Liquidity Crunch Warning

By RecessionALERT on April 13, 2014 in Reflections

Losses on the SP-500 on Friday 11th saw all our measures of breadth-liquidity fall into contraction, warning of a highly vulnerable market subject to further liquidity tightness and raised volatility. To many of my staff that actively trade the SP-500, this is treated as a bona fide correction warning. If you are scratching your heads […]

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FED in the driving seat

By RecessionALERT on November 25, 2013 in Reflections

The chart below shows how the FED is firmly in the driving seat for the U.S stock markets through the monthly growth of their balance sheet, primarily through the purchase of U.S Treasuries and Mortgage Backed Securities. You can clearly see why talk of tapering sends shudders down everyone’s spine: It is interesting to note […]

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IMPORTANT DISCLAIMERS: Although many of our models rely heavily on back-testing, optimisation and probability methods, please note that past performance is NO GUARANTEE for future returns. No system devised by man can predict the future, let alone the future of the markets and economies. What we have are sets of mathematical models that use historical data and varying theories to pinpoint places in time when the STATISTICAL LIKELYHOOD of calling the start and end to recessions is the greatest. In the midst of all the best mathematical models, you can have geo-political events, wars, terrorist attacks, natural disasters and even nuclear accidents that tip everything upside down. This is always a risk factor you need to factor in on any recession call no matter how confident you are in a signal. The SuperIndexes are created through mathematical and statistical optimisation techniques that best fit the historical NBER data. There is no guarantee that out-of-sample performance will match that of prior in-sample performance.