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This loop takes a different amount of time for each vertex, so let s consider all vertices together The total work done in step 1 is then O(|V |) In step 2, over the course of the entire DFS, each edge {x, y} E is examined exactly twice, once during explore(x) and once during explore(y) The overall time for step 2 is therefore O(|E|) and so the depth- rst search has a running time of O(|V | + |E|), linear in the size of its input This is as ef cient as we could possibly hope for, since it takes this long even just to read the adjacency list Figure 36 shows the outcome of depth- rst search on a 12-node graph, once again breaking ties alphabetically (ignore the pairs of numbers for the time being) The outer loop of DFS calls explore three times, on A, C, and nally F As a result, there are three trees, each rooted at one of these starting points Together they constitute a forest

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An undirected graph is connected if there is a path between any pair of vertices The graph of Figure 36 is not connected because, for instance, there is no path from A to K However, it does have three disjoint connected regions, corresponding to the following sets of vertices: {A, B, E, I, J} {C, D, G, H, K, L} 88 {F }

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This week s survey saw bullish sentiment rise to 345%, below its long-term average of 389% Neutral sentiment rose to 331% below the long-term average of 311% And bearish sentiment fell to 324% above the long-term average of 300%

Figure 36 (a) A 12-node graph (b) DFS search forest (a)

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Source: American Association of Individual Investors (AAII)

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Continues forever!

Long-Term Average: Bullish: 39% Neutral: 31% Bearish: 30%

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Start at the decimal point The cornerstone on which any decimal numeral is built is the decimal point It looks like an ordinary period () Digits for positive powers of 10 are written to the left of the decimal point Digits for negative powers of 10 are written to the right of the point Consider the decimal numeral 3627735 Let s break it down Starting at the decimal point and working toward the left:

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Powers of 10 Continues forever! Continues forever!

1 Buy: When AAII members are over 50 percent bearish, you may buy At 60 or 70 percent, it s a screaming buy 2 Sell: When AAII members are over 60 percent bullish, you may sell At 70 percent, it s a screaming sell 3 Note: These are not actionable trades, but only guidelines Always use other indicators to confirm before buying or selling

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AAII is a nonprofit educational organization founded in 1978 by James Cloonan Members are typically nearing or in retirement and have a relatively high net worth One of the organization s goals is to educate individual investors to manage their own portfolios In 1987, AAII started polling individual members each week about the stock market Before the Internet, random AAII members were polled by postcards; since 2000, all members have to do is vote online It wasn t long before the financial world discovered that the poll results could be used as a contrarian indicator In other words, if members are feeling excessively bullish or bearish, traders could do well by doing the exact opposite

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There is nothing more fascinating than getting inside the heads of individual investors After all, the market is driven by twin emotions of fear and greed, as pointed out by traders such as Jesse Livermore or investors such as Warren Buffett Therefore, it is not surprising that one of the most watched is the weekly AAII Sentiment Survey The results are published on the AAII Web site or in financial periodicals such as Barron s and give insights into the mind of the little guy At times, the survey can be uncannily accurate that is, it can be if you do the opposite of what the members are feeling The survey gets interesting when we see levels of excess, says Charles Rotblut, vice president and AAII Journal editor It

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As with RSI, when Stochastics remains overbought or oversold for long time periods, it remains frustrating to many traders In fact, then Stochastics could lose its edge, especially in trending markets During a trending market environment, you ll want to confirm Stochastics with other indicators Stochastics signals have been misinterpreted in the past For example, some authors incorrectly made hard-and-fast rules (an example of bad advice: sell when Stochastics goes above 80 or buy when it drops below 20), causing some readers to lose money Just as with RSI, the Stochastics range shifts, depending on the type of market you re in The best advice this author can give is to use Stochastics with care It s a superb tool that can be easily misused To use this indi-

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