08 Mar 2008 12:28:38 | Stan Seecrets
Fundamental analysis. Fundamentals analysis says the best way to
predict the future trends of a stock is to understand the
financial figures of the underlying company. The fundamental
analyst would calculate a theoretical value of the company using
cash flow analysis, recent dividends and earnings, future
dividends and earnings projections plus a host of other economic
numbers. If the current stock price is lower than the calculated
value, a trader who uses fundamental analysis would buy this
stock.
This writer has the opinion that fundamental analysis is
difficult to master for it to be useful as a forecasting tool.
Understanding and analyzing balance sheets and profit and loss
accounts is not enough. You will need to analyze the micro and
macroeconomic picture as well. Often you will need to be have
the same knowledge equivalent to senior-management of a company
you want to analyze – minus the leadership and management skills.
Take the example of Google’s free 2 GB e-mail service. How much
does it cost them? Probably about $2 yearly for each customer.
Assuming 100 million internet users sign up, the advertising
revenues from this segment alone would provide a tidy profit. It
is the analyst job to provide a good educated-guess of this
number. More importantly, this new signings will provide a
customer base to challenge Yahoo and Microsoft. With Google’s
dominance in the search engine market, the data mining of such a
huge pool of internet users will provide them with an edge in
deciding future strategies over its two nearest rivals. Try
translating this to what can Google earn in the next two
quarters.
One of the better tools is the Z-Score, developed by Edward
Altman, a financial economist and professor at New York
University's Stern School of Business, in 1968 to predict
corporate bankruptcies within a two-year period. This formula
has a 70-plus percent accuracy rate
Technical analysis. The “price action discounts everything”
premise is central to charting, also known as technical
analysis. Technical analysis uses graphic representations for
prices and makes uses of various quantitative techniques to
forecast price trends.
A technician makes profits in any market by having positions in
line with the price trend. When the trend is up, then buy.
Conversely, when the trend is down, then look to sell. Technical
analysis is not an exact science, but it is easy to learn and
effective.
Technical analysis is a good starting point for beginners. The
foundation should include classical technical analysis, Japanese
candlesticks, trendlines, RSI, MACD, ADX, stochastics and moving
averages. Learners can complete these core topics within three
to six months. With constant practice, you should be able to
independently analyze and identify the current trends in the
stock market.
Most users of stock charts may only focus on daily charts.
However, if users pay equal attention to weekly as well as
monthly charts, the picture is intuitively more complete. This
is equivalent to understanding how the short, medium and
long-term investors are viewing the markets, after all three
main types of investors form the market. A handful of stock
charting software has this feature of showing say, the relative
strength index for the daily, weekly and monthly values on a
single screen.
One last point - no single method in technical analysis is
sufficient for real-world investing. For example, even if you
master Elliott Wave Theory or Gann techniques, by itself it
would bring more heartache and disappointment. Often, you will
need knowledge from other disciplines and sources to improve
your overall investing skills.
Some tips for successful investing in stock markets.
1.Investing is a business. The rules of running a profitable
business are the same as investing in stock markets. 2.Learn to
spot your own mistakes fast. When a mistake is made, exit your
position and live to fight any day. The faster you realize your
own mistake and the faster you react will reduce your losses,
hence increasing your chances of winning in the long run. A
useful method is using a 10% stop loss exit strategy. If you are
long, and your stock price goes down by 10%, exit. If this same
stock reverses and starts to surge, take this as your mistake of
not identifying a more accurate (lower) entry point.
3.Understand yourself inside out. What makes you happy, sad,
excited, depressed, ecstatic - the whole spectrum of human
emotions are merely states of the mind. This is easier said than
done but you have to keep improving your own control mechanisms.
4.Learn the methods of successful fund managers –
diversification, emotional detachment and having realistic
expectations. Investing is a marathon not a sprint. 5.Money
management skills. Whether the amount is $10,000 or $10 billion,
the same rules apply. There are plenty of sources of information
on this subject from the internet. 6.Learn technical analysis.
The main thrust of this article is to avoid making mistakes that
will cost you dearly. How you prepare yourself for bear markets,
sideways markets and market crashes are vital to your success.
There are no secrets in investing – no magic formula, no
discovery of some useful ancient secrets. Just knowledge, hard
work, common sense and discipline will serve you well in the
years ahead. This verse from a 2500-years-old text is a useful
reminder:
“Those who know do not speak, Those who speak do not know.” -
Tao Te Ching, 56th verse
Stan Seecrets’ Postulate: “There are two types of people in the
world – those who know what they don’t know and those who don’t
know what they don’t know.”
You may freely reprint this article provided you publish it in
its entirety, including the author’s bio and activating the link
to the URL below.
About Author :
The author, Stan Seecrets, is a veteran software developer with
25+ years experience at (http://www.seecrets.biz) which
specializes in protecting digital assets. He has developed
real-time prices delivery systems and has witnessed stock
markets collapse of 1987 and 2000/2001 in real-time. You can
contact him via email (Stan at Seecrets.biz). © Copyright 2005,
Stan Seecrets. All rights reserved.