The Hindenburg Omen was a proposed technical analysis pattern, named after the Hindenburg disaster of May 6, 1937. It was promoted by Jim Miekka, who gave up on the theory that it portended a stock market crash in 2010.
Video Hindenburg Omen
History
The theory is largely based on Norman G. Fosback's High Low Logic Index (HLLI). The value of the HLLI is the lesser of the NYSE new highs or new lows divided by the number of NYSE issues traded, smoothed by an appropriate exponential moving average. The theory itself was promoted by Jim Miekka,.
Maps Hindenburg Omen
Mechanics
The pattern functions on a combination of technical factors that attempt to measure the health of the NYSE, and by extension, the stock market as a whole. The goal of the indicator is to signal increased probability of a stock market crash.
The rationale is that under "normal conditions" a substantial number of stocks may set either new annual highs or new annual lows, but not both at the same time. As a healthy market possesses a degree of uniformity, whether up or down, the simultaneous presence of many new highs and lows may signal trouble.
Theoretically, it could be applied to any stock exchange.
Criteria include:
- The daily number of NYSE new 52-week highs and the daily number of new 52-week lows are both greater than a threshold (proposed at 2.8%)
- The NYSE index is greater in value than it was 50 trading days ago - 50-day Rate of Change (ROC) should be positive. Originally, this was expressed as a rising 10-week moving average, but the new rule is more relevant to the daily data used to look at new highs and lows.
As a rule, the shorter the time-frame in which the conditions listed above occur, and the greater the number of conditions observed in that time frame, the stronger the effect'. If several--but not all--of the conditions are repeatedly observed within a few weeks, that is a stronger indicator than all of the conditions observed just once during a 30-day period.
See also
- VIX, Chicago Board Options Exchange Market Volatility Index
References
Source of the article : Wikipedia
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