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Probably the most successful and most utilized means of making
decisions and analyzing forex and commodities markets is Technical
Analysis. The
difference between forex technical and forex fundamental analyses is
that forex technical analysis ignores fundamental factors and is
applied only to the price action of the market. In that fundamental
data can often only provide a long-term forecast of exchange rate
movements, forex technical analysis has become the primary tool to
successfully analyze and trade shorter-term price movements, as well
as to set profit targets and stop loss.
Forex technical analysis primarily
consists of a variety of forex technical studies, each of which can be
interpreted to predict market direction or to generate buy and sell
signals.

What to Look For
in Technicals?
Find the Trend
One of the first things you'll ever hear
in technical analysis is the following motto: "the trend is your
friend". Finding the prevailing trend will help you become aware of
the overall market direction and offer you better
visibility--especially when shorter-term movements tend to clutter the
picture. Weekly and monthly charts are most ideally suited for
identifying that longer-term trend. Once you have found the overall
trend, you could select the trend of the time horizon in which you
wish to trade. Thus, you could effectively buy on the dips during
rising trends, and sell the rallies during downward trends.
Support & Resistance
Support and resistance levels are points
where a chart experiences recurring upward or downward pressure. A
support level is usually the low point in any chart pattern (hourly,
weekly or annually), whereas a resistance level is the high or the
peak point of the pattern. These points are identified as support and
resistance when they show a tendency to reappear. It is best to
buy/sell near support/resistance levels that are unlikely to be
broken. Once these
levels are broken, they tend to become the opposite obstacle. Thus, in
a rising market, a resistance level that is broken, could serve as a
support for the upward trend, whereas in a falling market; once a
support level is broken, it could turn into a resistance.
Lines & Channels
Trend lines are simple, yet helpful
tools in confirming the direction of market trends. An upward straight
line is drawn by connecting at least two successive lows. Naturally,
the second point must be higher than the first. The continuation of
the line helps determine the path along which the market will move. An
upward trend is a concrete method to identify support lines/levels.
Conversely, downward lines are charted by connecting two points or
more. The validity of a trading line is partly related to the number
of connection points. Yet it's worth mentioning that points must not
be too close together.
A channel is defined as the price path
drawn by two parallel trend lines. The lines serve as an upward,
downward or straight corridor for the price. A familiar property of a
channel for a connecting point of a trend line is to lie between the
two connecting point of its opposite line.
Averages If
you believe in the "trend-in-your-friend" tenet of technical analysis,
moving averages are very helpful. Moving averages tell the average
price in a given point of time over a defined period of time. They are
called moving because they reflect the latest average, while adhering
to the same time measure.
A weakness of moving averages is that
they lag the market, so they do not necessarily signal a change in
trends. To address this issue, using a shorter period, such as 5 or 10
day moving average, would be more reflective of the recent price
action than the 40 or 200-day moving averages.
Alternatively, moving averages may be
used by combining two averages of distinct time- frames. Whether using
5 and 20-day MA, or 40 and 200-day MA, buy signals are usually
detected when the shorter-term average crosses above the longer-term
average. Conversely, sell signals are suggested when the shorter
average falls below the longer one.
There are three kind of mathematically
distinct moving averages: Simple MA; Linearly Weighted MA; and
Exponentially Smoothed. The latter choice is the preferred one because
it assigns greater weight for the most recent data, and considers data
in the entire life of the instrument.
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