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Welcome to Investors Intelligence!
Investors Intelligence is an independent FSA regulated technical analysis service. We provide daily updated research to Selftrade customers. Members will see daily analysis updates on recent action in the UK Markets, and our selected Chart of the Day which identifies both long and short trading opportunities. Members can also access a powerful charting package (including our point and figure charts) for all major UK indices, and our highly regarded breadth and breakout information. This service is available for Investors Intelligence subscribers and Selftrade customers. To open your Selftrade account today and take advantage of the complimentary service, click HERE. Selftrade customers: please log in to your account to access the Investors Intelligence microsite.
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Trading stock market indices with “Bullish%” breadth indicators Nowadays the majority of investors will be informed on the latest moves in the FTSE100 from the many excellent online resources the private trader now has at his disposal supplying live (or nearly live!) prices plus a host of other statistical information on indices. Less obvious is what is causing the move. Is it a large number of constituent stocks all heading in the same direction, or just a few index heavyweights making their influence felt? This measurement of the degree of participation within an index move is known as “market breadth” and is an important tool for identifying the strength of a move and medium-term overbought/oversold conditions. Investors Intelligence developed their “bullish percentage” indicator in the US in 1950s. This indicator measures the number of stocks displaying uptrends, as defined by II’s point and figure charting methodology and has been widely adopted by the US investment community, but to date remains less known as a tool in Europe and the UK. The US Approach The first breadth indicator, the NYSE Bullish Percentage, was developed by Abe Cohen, the founder of Investors Intelligence in 1955. He was an early pioneer of point & figure (p&f) stock charts and this approach, which divides stocks into bullish or bearish trends, has the distinct advantage of providing a objective view of a stock’s technical charateristics . This provided the ideal building blocks for a market barometer and Cohen took the logical leap that by calculating the percentage of bull trends amongst the constituent stocks of the NYSE index, he would have an accurate picture of the supply/demand relationship for the market as a whole. For example, if there were 2000 stocks in the NYSE index and 1000 of them were on bull signals, then the Bullish % would be reading 50%. As it turned out, not only did the NYSE Bullish % identify periods when the bulls were in the driving seat i.e. the best time to own stocks, but it also proved to be a one of the best contrary indicators for calling intermediate market tops and bottoms. Cohen studied the pattern of this long-to-medium term oscillator and drew up the following guidelines for its use: Low risk area below 30%: Almost everyone who wants to sell has already sold. Once the indicator starts moving up from this area (indicated by reversals on the p&f chart of the bullish %) it is time to start accumulating growth stocks and to attempt bottom-fishing in stocks at multi-year lows. Mid-range: When the indicator moves up into mid-field, continue the bullish approach but buy more selectively in stocks with strong relative strength. Begin to take profits in recovery plays and holdings with weak relative strength. Buy new positions on pull-backs. High risk area above 70%: When the action starts moving down from this area (indicated by reversals down on the p&f chart of the bullish %) it is time to initiate defensive tactics. Sell any laggards (with weak relative strength). Begin to tighten stop losses on all holdings. Focus new positions in defensive/lower beta sectors. Buy call options instead of stock to limit equity exposure. Abe Cohen’s original strategy for the bullish percentage was to be bullish on readings above 52% and bearish below 48%. However, as time went by, and the back history of breadth data built up, improved applications of this indicator were introduced. Earl Blumenthal’s book “Chart for Profit”, published in 1975, introduced a series of rules to be applied to the point & figure chart of the NYSE Bullish % or the “Bullish Bearish Index” as he referred to it. The rules were further refined by Mike Burke in 1982, when he became editor of Investors Intelligence, and remain to this day the recognised method of applying breadth to market strategy. There are seven market conditions that can be derived from the point & figure chart of the NYSE Bullish % which are as follows
Optimising the indicator for different indices There are over two thousand stocks in the NYSE Composite index, and other narrower indices (for instance the forty stock French CAC40) might be expected to show different historical breadth characteristics to this giant. This is indeed the case, and the rule of thumb is the narrower the index, the more volatile the breadth history. However, the nature of the component stocks must also be considered when assessing ranges and likely signals areas. In the case of the FTSE100, the seven year history of the bullish% (see chart, right), shows an indicator with an overall range of roughly 10% to 90%. The bear market (2000 to 2003) was accompanied by high volatility for this indicator, which showed some fast moves between 10% and 80%. The subsequent bull market, which started in spring 2003 has been accompanied by lower volatility and, after a initial rally, a range of 40-90%. In view of this we would look for reversal signals around 80 to 90%, around 40% and down below 10% (the latter for bear markets or very oversold conditions). You will note that these levels are somewhat different from the criteria chosen for the NYSE, and reflect the UKX’s narrower focus and subsequent higher volatility. To summarise, we use these four “golden rules” when applying the bullish% indicator to the FTSE100
Mark Glowrey, analyst www.investorsintelligence.com Oct 2008
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