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Elliot Waves How Does
It Work?
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Waves are defined in
terms of percentage movement relative to the price. A wave must
behave like a wave hence an up wave must be greater than the
previous peak; a down wave must be smaller than the previous trough.
It also means that a wave can fail and this is why you still need to
use stop loss.
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There are different
time frames to encompass any movement whether slow or fast, large or
significantly small Waves are identified within their range and are
superseded by a larger order of magnitude wave since it comes from a
deeper impulse.
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The closing price is
used instead of the high or low, because it is the latest available
for a single day.
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It uses MetaStock®
because the software is affordable and easy to use for most
investors.
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It is conservative in
its approach of measuring profit, taking in account the time
required to recognize a wave pattern
You can run The Explorer®
that will give you all the pertinent data for your trades. You will see
the wave number, the bars since the recognition of the wave count, a
stop loss and the ROC since it has been recognized as a wave.
The indicators will help you forecast possible target prices using
Fibonacci ratios. You can also test your skills anticipating the
reversal point of a wave.
How Does It Work in MetaStock®?
You simply import the Experts, the Indicators, the Systems, the
Explorations, and the Templates. All are coded in native code from
MetaStock®. A user manual is provided with graphs and basic
information on the Elliott methodology.
What is an Elliot Wave?
By popular concept, waves are made of peaks and troughs. Thus, when
transposed to the price of a security, we are looking at the direction
the price moves in peaks and troughs over a significant period of time.
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If price is
increasing over the selected time span, we say the trend is bullish
and the price is moving from a trough to a peak.
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If price is
decreasing over the selected time span, we say the trend is bearish
and the price is moving from a peak to a trough.
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The Elliott system
attempts to measure rationally the evolution of price in patterns
between peaks and troughs.
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