Insights For Search Predicts Real Estate Collapse

In the past we have posted several times about how financial market traders can use relatively simple chart patterns involving higher-swing-lows and lower-swing-highs to successfully trade the stocks & commodities markets, options market and with other investing.

I was doing research on this powerful trading concept this morning and was thinking the incredible real estate market decline could be a good example of how well it can work. Therefore, I went to Google’s “Insights For Search” and searched for “MLS Listing” which is a widely used real estate term by home buyers and sellers.

This is the explanation of how Insights For Search works from Google: “Google Insights for Search analyzes a portion of world-wide Google web-searches from all Google domains to compute how many searches have been done for the terms you’ve entered, relative to the total number of searches done on Google over time. You can choose to see data for select Google properties, including Web search, Images, Product search, and News search.”

The Google Chart displays the most perfect long-term examples I have ever seen visually depicting the great power of swing highs and swing lows. Starting in 2004 the chart shows a series of 8 important swing highs and 6 major swing-lows. Of particular importance is the Dec 06 swing low which broke the old support level established Dec 05 by that major 2005 swing low. Once that old support level was broken in Dec 06 it conformed a major real estate bear market. The market is believed to be the most severely depressed real estate market of all-time, especially in areas of the U.S. such as Arizona, Nevada, California and Florida.

If you were buying/selling real estate the chart clearly shows starting in the year 2005 you should have been selling (not buying) real estate based on the important July 2005 swing-low (which you knew about at the end of August 05, and was confirmed Nov of 2005 which was the month the previous major swing-low was confirmed. The next series of 4 major lower-swing-highs which were in mid-2006, mid-2007, and early-2008 and 2009 confirmed the bear market was ongoing and getting even stronger.

The strong nationwide real estate decline started in late summer of 2005 in several Sunbelt states at the end of Aug 05 (at least according to my knowledge and statistics). However, it got underway a little later in other areas of the nation and the media often reports the bear market started during the year 2006. In my opinion this chart is one of the most picture book perfect and accurate examples of how powerful swing-highs an swing-lows can be. It is something you should always look at and take into strong consideration while trading the markets or investing.

Time Duration Trading Secrets & Statistical Validity

Secrets of time durations of profitable & losing day-trades

Most successful daytrades last approximately 7-minutes. That typial trade duration assumes the trader is using a reasonable profit objective and exiting the trade as his profit objectivegets hit.

Most losing day trades last about 45-minutes. That’s because the trader relies on hope once he sees the trade looking like a failure. So he hangs on to the losing trade hoping it will turn, finally the loss becomes too big forcing him to exit the trade after being in the trade for a much longer time than originally anticipated, mostly due to relying on hope.

How many trades are needed for good statistical validity?

Lots of stocks and commodities traders ask how reliable their track-record may be as far as statistical validity goes. They may see some statistics on seasonal trades showing a market was mostly uptrending from April to June during 12 of the last 14 years, for example. The same traders may have experience with their own trading system showing 8 of 9 winners following say a 5-unit moving average crossing over a 9-unit moving average.

None of those scenarios are valid from a statistical validity standpoint. That’s because according to mathematical experts and statisticians a minimum of 30 occurrences are needed for good statistical validity. Please keep this in mind when evaluating a trading system or trader metholodology. Anything less than 30 samples will not be statistically accurate.