Weekly Newsletter 02/25/11
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Market Summary Weekly Breakout Report Top Breakout Choices Top 2nd Chances New Features Tip of the Week
Prior editions of this newsletter with our valuable Tips of the Week are available here.
 Weekly Commentary  

The major indexes gave ground this week in what may be the start of the correction we have been expecting. Although the major indexes recovered somewhat on Thursday and Friday, volume has not yet confirmed that the correction is over.

NASDAQ Composite

The NASDAQ Composite and Russell 2000 suffered two heavy distribution days on Tuesday and Wednesday but found support at the 50 dma level on Wednesday and Thursday. Although the indexes closed higher on Thursday and again on Friday, each day's volume was lower than the previous day's indicating a lack of strong conviction that the correction is over. In fact, Friday's big gain (1.5% for the NASDAQ) may have been the result of short covering rather than a relief rally.

Friday's GDP numbers were disappointing as they missed the consensus estimate of analysts by a 0.5%.  The missed target was mainly the result of rising energy costs and a sharp decrease in spending by states as they try to cope with their budget deficits. The financial difficulties of the states threatens the economic recovery, as does rising energy costs and middle east uncertainty that will take years to reach a new equilibrium. The layoffs of state workers will reduce employment and higher energy costs will reduce the stimulative effect of the 2% payroll tax cut. Whether or not this will have an effect on equity prices remains to be seen, as they have shown little correlation with the state of the economy over the last 18 months.

 New Features this Week Additional Value that we added this week
No new features this week.
This Week's Top Tip Tips for getting the most out of our site

Lessons Learned from Trading based on the CwH Backtest Tool

We recently heard from a subscriber who was disappointed with the results of a trading strategy he had developed using the CwH Backtest tool. It is instructive to look at the strategy and difficulties with its practical implementation.

The strategy he used gave many thousands of % profit over the full length period of the backtest (over five years) but in practice over December and January the results were disappointing. The strategy was:
  • Buy on breakout alert
  • All alerts were buyable provided the volume was at least 2.25 times the average daily volume
  • Hold for a maximum of two days and sell at next day's open.
  • Use a 1% trailing stop
  • Open only one position at a time
There are several difficulties with using this strategy which we will examine and learn from.

If we run a backtest of this strategy over the December - January time frame we get a positive return of 21.1%.

Strategy one

While this looks very satisfactory, there are several points to note:
  1. Because we are trading only one position at a time, the starting trade and the subsequent sequence has a large influence on the backtest outcome. More on this later.
  2. The backtest makes most of its profit in late January. Results were mediocre until then so discouragement could set in early.
  3. The average return on the trades was only 2.4% making the strategy very susceptible to slippage in either the buy price or the sell price. If the trade is not entered close to the breakout price, or the 1% trailing stop is not executed precisely to close the trade, a potentially winning trade could turn into a losing trade.
  4. Of eight trades made, six were stopped out by the 1% trailing stop which emphasizes how important the trailing stop execution is.
  5. Two months is a short time frame to evaluate a strategy that was built over a five year backtest time frame. During the backtest period, there would have been several two month periods when the strategy would have been negative.
Lets look at what happens if we make the backtest much less dependent on the starting trade and subsequent sequence. We can do that by setting the number of open positions to the maximum of 20. The result of this are:

strategy two

This time the backtest made 19 trades of which 17 were stopped out. We see that the backtest only becomes profitable at the end of January. The number of losses (11) exceeds the number of wins (8) and average profit per trade this time is actually negative (-0.4%). Our margin for error in the buy price or trailing stop execution is now even smaller. This shows us that using a one position strategy it would have been very easy over this short a period to lose on every trade if we were unlucky in the sequence of the trades.

So while the strategy looks very attractive, the problem with it is that with such a short time frame (two days) and tight trailing stops, our profit on each trade is so small that our ability to execute the strategy profitably depends greatly on our ability to execute it with precision. This requires:
  1. Buy as close to the breakout price as possible and only if you are sure your volume target will be met. Do not rely on the projected volume in the breakout alert alone.
  2. Once you have opened a position, set a stop loss order with your broker. Be prepared to revise your stop loss order each night based on the highest intraday price reached to date.
  3. Paper trade your strategy before risking real money to see if these conditions can be met. If not, change the strategy to one with more margin for error. For example, our CwH MTC default strategy when backtested over the last year gave an average profit per trade of 5.1%.


 Market Summary Overview of market direction and industry rotation
Index Value Change Week Change YTD Trend
Dow 12130.5 -2.1% 4.78% Up
NASDAQ 2781.05 -1.87% 4.83% Up
S&P 500 1319.88 -1.72% 4.95% Up
Russell 2000 821.95 -1.54% 4.89% Up
Wilshire 5000 13938.5 -1.8% 4.88% Up
 Best Performing Index
1 Week 13 Weeks 26 Weeks Year-to-Date
Russell 2000
-1.54 %
Russell 2000
12.18 %
Russell 2000
33.27 %
S&P 500
4.95 %
 Best Performing Industry (by average technical score over each period)
1 Week 3 Weeks 13 Weeks 26 Weeks
Silver
Farm & Construction Machinery Silver Silver
 Most Improved Industry (by change in technical rank2)
Aerospace/Defense - Major Diversified
+ 90
Copper
+ 132
Diversified Computer Systems
+ 162
Long-Term Care Facilities
+ 181
Charts of each industry rank and performance over 12 months are available on the site

1The Market Signal is derived from our proprietary market model. The market model is described on the site.
2The site also shows industry rankings based on fundamentals, combined technical and fundamentals, and on price alone. The site also shows daily industry movements.
 Weekly Breakout Report How confirmed breakouts performed this week
# of Breakouts
Period Average1
Max. Gain During Period2
Gain at Period Close3
This Week 7 14.69 29.82% 3.07%
Last Week 16 14.92 9.35% 2.84%
13 Weeks 229 15.46 14.37%
3.8%
1The average number of breakouts in each week over the previous 13 weeks.
2This represents the return if each stock were bought at its breakout price and sold at its intraday high.
3This represents the return if each stock were bought at its breakout price and sold at the most recent close.
 Top Breakout Choices Stocks on our Cup-and-Handle list with best expected gain if they breakout
Category
Symbol
Company Name
Expected Gain1
Best Overall MEA Metalico, Inc. 107
Top Technical AVL Avalon Rare Metals Inc. 100
Top Fundamental VSI Vitamin Shoppe, Inc Common Stock 51
Top Tech. & Fund. CMG Chipotle Mexican Grill, Inc. 0
1This is the gain predicted by our Expected Gain model if the stock breaks out. Expected Gains for all cup-and-handle stocks are published on our site.
 Top Second Chances Stocks that broke out this week and are still in buyable range
Category
Symbol
Company Name
Expected Gain1
Best Overall MDTH MedCath Corporation 101
Top Technical MDTH MedCath Corporation 101
Top Fundamental MDTH MedCath Corporation 101
Top Tech. & Fund. MDTH MedCath Corporation 101
1This is the gain predicted by our Expected Gain model after the stock has broken out which uses the volume on breakout as a predictive term. Because the model variance is +/- 38% the expectation can be negative.

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