Monday, March 14, 2016
Traders World, the leading magazine on Gann, Elliott Wave and technical analysis, has published an article by yours truly on the topic of moving averages. The article discusses the best moving averages to use for evaluating the XAU Gold/Silver Index. Traders World issue #62 is now in circulation and you can view the article for free by visiting the following link:
Tuesday, March 8, 2016
The broad equities market has gotten a respite from the selling pressure which plagued it for the last few months. Some of this can be attributed to the Kress cycle “echoes” which we reviewed earlier this year. The echoes, which are based on the 6-year, 10-year, and 30-year cycles, suggested that stocks could experience a rally in the March-April time frame based on past rhythms. To date that expectation has materialized as traders cover short positions that were built up to excessive proportions in prior months.
Adding to the upside in equities lately has been a long overdue relief rally in commodities and natural resource stocks. Much of the selling pressure plaguing stocks in recent months was a spillover of commodity market weakness. With commodities now on the upswing, stocks are getting a major reprieve.
The following chart shows the PowerShares DB Commodity Index Tracking Fund (DBC), which largely corresponds to the CRB commodity price index. The greater the distance DBC puts between its January low, the better it will bode for the near-term stock market outlook. A continued rally in commodities would also signal to investors that the global market crisis is in a condition of stasis. This in turn should serve to increase risk appetite among investors.
To date, all the classic signs of an interim bottom are in place. The NYSE advance-decline (A-D) line is outperforming the NYSE Composite Index. NYSE advance-decline volume is also confirming the rallies. Most importantly, the number of stocks making daily new 52-week lows on the NYSE has drastically fallen under 40 since last month. This tells us that the market’s internal health is improving and that internal selling pressure is no longer a major problem.
Moreover, the short-term and intermediate-term rate of change (momentum) of that new highs-new lows have dramatically improved in recent weeks. Because the number of stocks making new lows has dropped significantly while the overall hi-lo differential has been positive, the momentum of the new highs-new lows has finally turned up after being down for months. This indicator has been an invaluable aid to confirming that the near-term path of least resistance for stocks since last month is up.
Arguably the biggest boost to equities in the near term has been the upward turn in the crude oil price. Oil is widely regarded as the most important indicator for the overall health of the global economy. Plunging prices in the energy market in past months created a deflationary scare among investors and stoked fears of a global economic recession. Those fears aren’t completely without foundation, but for now another proverbial bullet has been dodged as the oil price enjoys a much-needed relief rally.
Finally, I would point out the bullish nature of the Dow Jones Transportation Average (DJTA) which has also been a strong leading indicator for the broad market – particularly the Industrials. The leadership of the DJTA has been bullish from a Dow Theory perspective, especially since the Transports led the way lower for the Industrials last year.
As the following graph shows, DJTA is about to test an important chart resistance at the 7,800 area. A breakout above this level would pave the way for another leg higher in the major indices from a Dow Theory standpoint.
In the previous commentary I noted that the bulls would likely do everything in their power to protect the 9,000 level in the NYSE Composite Index (NYA) from being violated. The NYA found support above 9,000 and has benefited from a vigorous short-covering rally since as the implications of a breakdown below this key technical level are simply too severe to happen at this time.
One reason for the premature nature of a break under 9,000 is the spillover impact such a breakdown would have on the global financial economy. The upcoming presidential election is another factor. Surpassing worries over the global economy lately has been the hysteria over the U.S. presidential race. Investors have been polarized over the leading candidates in both parties, particularly over the primary victories of a certain billionaire candidate. My policy of not commenting on politics forbids me from injecting an opinion, but I’d like to share at least one insight.
The current Republican front-runner has undeniably garnered a rather sizable protest vote among disenchanted voters. In many ways Mr. Trump’s candidacy recalls the populist uprisings of past elections which saw the short-term success of candidates William Jennings Bryan, George Wallace and Ross Perot. In each of these cases an uncertain economic outlook led to the rise of dark horse populist front-runners.
In the final analysis, however, America’s inveterate tendency to vote for the most electable candidate (based on the conventions of the day) won out and the extremism that characterized the earlier stages of the elections was ultimately discarded. Observers should keep that in mind as the country’s collective passions rise with temperatures this spring.
It also would appear that Mr. Trump’s ascension has been tied, to an extent, to the economic and equity market sluggishness of the last year. Indeed, his biggest victories to date have occurred when stock and commodity prices have been on the downswing and the market has been internally weak. But what happens if the market rebound gains traction and continues beyond March-April seasonal strength? Could this not fuel a resurgence in the prospects of his closest rival for the nomination? If nothing else it would erode deflation fears among investors, which in turn would defuse the urgency of the protest vote. While some may scoff at this unorthodox association, pundits would do well to monitor the correlation in the weeks and months ahead.