Here's an interesting way to measure the general mood of the public towards the stock market: look at the frequency and trend of searching for related keywords. For example, "bull market" or "bear market". Although not everyone knows that nomenclature. How about "stock market crash"? Everyone knows what that means.
Thanks to a new service from Google (GOOG) called Google Trends we can look at the popularity of various searches over time and even across different geographic areas. Persevering readers might remember that we first looked at this new measure of sentiment back in January 2008: Hunting For Sentiment Data.
Since then we've continued to collect data for this so here's an updated chart comparing that Google Trend to the S&P 500 Index (SPX):
There was a massive spike which corresponds to October 5th 2008 as the stock market was barreling down head first. There was a smaller spike which corresponds to the March 2009 low.
Other than that I can't see a clear relationship between the two. Perhaps we need more data or perhaps the keyword isn't the right one. I'm sure one of you out there who is more statistically inclined can take the data and hash something out. If you're interested, drop me a note and I'll forward you the spreadsheet.
In any case, looking at the most recent data not very many people are concerned about a stock market crash. The recent numbers shows the kind of apathy last seen August 17th, 2008 and December 23rd, 2007.goog, google trends, keyword, public mood, sentiment, stock market crash, trends
Here is an interesting exercise in nostalgia. Google (GOOG) is celebrating their 10th anniversary by allowing us to rewind the hand of time and search the internet, as it appeared in their search engine back in 2001.
Click to see the results of googling for "subprime mortgage" then and now (warning this is a LARGE image):
Among the 2001 results there is only one which would ring a little warning bell: the Office of the Currency Comptroller expressing concern (I added the word concern because it was truncated in the search results).
If you want to search for other terms you can find this special edition 2001 Google search engine here. Keep in mind that Google search results are geographically targeted and I'm located in Canada so depending where you are, your results may vary slightly.Fannie, financial crisis, Freddie, goog, google, internet, search, search engine, subprime mortgages
Here are two free online tools that analyse the relationship between stocks and help you to find correlated stocks (or negatively correlated stocks):
Any quantjock worth his salt will laugh at such a simplistic treatment of correlation but for the rest of us it is a useful tool. How useful is it and why would you want that kind of information in the first place?
Knowing the correlation of one stock to another helps you in define your portfolio. After all, what good is owning separate stocks or even ETFs if most of them are correlated? If you don't diversifying your holdings you are at risk that a market shock will effect them all at once and in the same way.
Another reason to look for correlated stocks is to engage in pair trading. This is where you aren't interested in a stock per se but the relationship between two stocks. There are different strategies but the simplest is to watch the relationship and when it gets out of historical norms, to go long one and short the other.
Another online resource is Market Topology, now renamed: Impactopia.
They offer more robust analysis with a choice of time frames as well as the ability to graph the spread of two stocks or each, side by side. To use the site you may find it asks you to sign up but the service is free.
Impactopia has other goodies if you explore enough. For example, it plots a "tree" of the security you are curious about mapping out its relationship with other securities. You can see Google's (GOOG) tree to above.correlated stocks, correlation, free online tools, goog, google, graph, negative correlation, pair trading, spdr, time frames
Ever since Google's breathless announcement more than a year ago that they were going to offer real time stock quotes to everyone, I've been waiting to see if they would make good on their promise.
Well, it took much longer than they or anyone else thought but you can now get "real time" data for NASDAQ traded securities on the internet for free.
I put real time in quotes because the data is refreshed every second and only the trades that cross on the NASDAQ platform will be transmitted. So trades that take place on the NYSE, AMEX and other ECNs are not included. This is a key factor and will become more so as competing platforms continue to attract trades away from traditional exchanges. Just be aware that you are not getting the complete picture.
And that means that no matter how interesting this announcement is, no serious trader is going to cancel their data subscription just yet. But for everyone else, it is a nice little bonus to be able to have just this much more accurate stock prices.
I'm curious but haven't found anything regarding how exactly this works or what sort of deal was struck. Selling real time data was and is the bread and butter of traditional trading platforms such as NYSE and NASDAQ. Obviously the rules have changed.
For now the data will only appear in the top search engine result when you type in a stock symbol, otherwise known as the OneBox:
But soon the data stream will be diverted to flow into the large charts. And although Google spearheaded this initiative, the NASDAQ free real-time data partnership includes Dow Jones & Co. affiliate sites such as CNBC, WSJ, MarketWatch and Barron's. So keep an eye out for it on those sites as well.
As if it needs to be said: I would strongly recommend against using this data service to actually place trades intra-day. Especially in fast moving market conditions. But if you are swing trading or position trading and don't particularly care about the sort of fill you get, I suppose it can be a good "backup" quote provider or sorts.amex, Barrons, cnbc, Dow Jones, ECN, goog, google, marketwatch, Nasdaq, NYSE, onebox, position trading, real time stock, search engine result, WSJ
This week the markets were propelled ahead by the positive earnings of major tech companies like Intel (INTC) and Google (GOOG). Here is the sentiment summary:
Investor's Intelligence results are basically unchanged so no need to delve into them. The AAII survey this week shows a reemergence of bearishness with 49% of respondents in that camp (only 30% are bullish). This is rather odd because the market has continued to go higher but part of the mysterious gloominess of the retail investor may be that the survey was completed on Thursday, before Friday's powerful rally.
In any case, as a contrarian and a current long, I always welcome pessimism, especially when it is accompanied by higher prices.
With the rise in market prices, the percentage of stocks above moving averages has also increased. The shortest time frame I use is the 10 day moving average and it now shows about 82%, very close to levels which have pushed back rallies in the past. This is where we found this indicator last October when most indexes created their swing highs.
Chart from indexindicators.com
But is is a very short term metric which doesn't preclude the market from rising higher in longer time frames. More importantly, the percentage of S&P 500 stocks above their 50 day and 200 day moving averages are 71% and 40%, respectively. The most important is the longer metric which is still very low.
It reached eye popping lows of 15% in January and again in March 2008. We haven't seen numbers that low since the darkest days of the last bear market. This was one of the reasons I was unapologetically bullish. As I've brought to your attention repeatedly, such extremely low breadth numbers have always marked the start of a new bull run.
But right now, we're a tiny bit over extended and I wouldn't be surprised to see the market yet again pause and/or be rebuffed at the 1400 level which has turned it back 3 previous times. The difference now is that there are more and more stocks participating in the rally, as can be seen by the number of stocks above their 200 day averages.
CBOE Put Call Ratio
After spiking higher than 1.30 the CBOE equity only put call ratio backed off this week in a hurry, falling below 0.59 - this is the lowest number since early February 2008. And yet another short term argument for the tape to run into resistance.