NOTES: We are getting higher frequency of bullish days as anticipated and the obvious weeks. Be
patient, use small positions and use wise money management and trailing stops in
intermediate trades.
I am still expecting some sort of substantial rally in the stock market sometime this year mostly driven by the massive
stimulus that has already been poured into the system plus the planned stimulus package being proposed now. Longer
term though, in a couple years down the road, no doubt the taxpayer is going to have to pay for such the high debt
amounts that the US government (and other countries) have taken on. So tax rates probably will rise in coming years, interest rates will very likely have to rise as inflation surfaces and likely the bear market resumes sometime down the
road. But we don't have to be stuck in a miserable cycle like most investors. With the techniques and approach to the
market, we will still thrive.
If you have been uncomfortable shorting stocks, which most people are, learn to get used to it, this will be a useful tool in
the coming years.
When I list several stocks from the same sector, like the housing industry for example, don't short all of them unless you
are well diversified and it represents a small percentage of your total stock account (in that same account).
REPEAT: Keep an eye out for biotechs; they are building momentum and often do well in January.
SWI (SWING): 2-7 days INT: Intermediate term position 8 days to several months. Open Price: price paid on opening
long position or price sold on short position. Bold notes on table above represent changes from previous day.
Current positions are highlighted in yellow.
Thoughts: Best odds only, be decisive, aggressive, mentally flexible, stay in position size, don't overtrade and
wait a little longer to buy and wait a little longer to sell. You will find that will make you more money on your
trades. Trade what you see, not what you hope for. Intermediate trades are really important to have
trailing stop losses set.
Don't trade unless the setup is there for you, then use the charts to tell you when the odds are heavily in your
favor. Don't force anything to work for you, let the setups develop and then take advantage of that. Be patient.
Stay in position sizes without letting any intraday trade represent no more than 10-15% of your total account
value. As you build your account, your position size percentage should get smaller and smaller to lower your
risk.
Have a great day and I'll talk to you tomorrow.
Mitch King
Stock Market On Monday
Stock Market Industry Beta is the measure of how a stock's trading price moves compared to the market as a whole. Knowing this figure one can understand how volatile a stock is. A beta of 1 means a stock's price fluctuates exactly as much as the market. A beta less than 1 means a stock is less volatile than the market and a beta greater than 1 means that stock is more volatile than the market.
Betas can be determined for entire industries also. The ?industry beta? would compare the volatility of the industry relative to the whole market. For example, technology stocks tend to be more volatile than the industry so the beta would be more than 1, generally.
To calculate industry beta you need some historical data of the price of the industry stock and historical price data of the entire market. For example if you were going to calculate beta over the last year for compare technology stocks versus the S&P 500, you would first gather the historical data you need. Next, determine the movements of the two prices after each trading day. This will give a percentage change versus the previous day. Once we have 365 of these we can average the group to determine the average move each made over the last year. We can call the average industry movement Ri and the average market movement Rm. Finally, divide the technology industry's average movement by the S&P's average movement and we will have an outcome that is less than 1 (less volatile), 1 (equally volatile), or greater than 1 (more volatile). Written out this function looks like this:
Β = Ri / Rm or B = Covariance(Ri , Rm)/ Variance(Rm)
Beta can be useful in stock research when judging how risky a stock is versus a stable investment with a guaranteed rate of return. It must be noted that the longer period of time the beta is acquired the more accurate that beta will be. Also, betas are more valuable when used with stocks that have a long record of high volume trading. Smaller stocks that don't trade a lot can fluctuate wildly on a busy day and throw the beta out of whack for the period being measured.
Both Mitch King & Mike Ashley are contributors for EditorialToday. The above articles have been edited for relevancy and timeliness. All write-ups, reviews, tips and guides published by EditorialToday.com and its partners or affiliates are for informational purposes only. They should not be used for any legal or any other type of advice. We do not endorse any author, contributor, writer or article posted by our team.
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