Fibonacci and Gann Applications in Financial Markets
Fibonacci and Gann Applications in Financial Markets
Fibonacci and Gann Applications in Financial Markets
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180 <strong>Fibonacci</strong> <strong>and</strong> <strong>Gann</strong> <strong>Applications</strong> <strong>in</strong> F<strong>in</strong>ancial <strong>Markets</strong><br />
2003, the 23.6% retracement acted as strong support <strong>in</strong>itially <strong>and</strong> then as strong<br />
resistance once it was taken out. The congestion of retracements at the 41.4/44.7%<br />
area aga<strong>in</strong> supports well <strong>and</strong> subsequently there has been broad consolidation about<br />
these levels with only a tentative attack on the 52.3% support level. However, given<br />
that there is a huge Head <strong>and</strong> Shoulders formation on this chart, the analyst can be relatively<br />
sure that the 52.3% support level will break this time <strong>and</strong> the trigger moves<br />
through the congestion seen <strong>in</strong> August–October 2002, leav<strong>in</strong>g the 41.4/44.7% congestive<br />
area as strong resistance.<br />
CONCLUSION ON VERTICAL SYNTHETIC RETRACEMENTS<br />
While there is little additional <strong>in</strong>formation ga<strong>in</strong>ed from us<strong>in</strong>g these 15<br />
<strong>and</strong> 12 <strong>and</strong><br />
circle retracement levels when compared to traditional <strong>Fibonacci</strong> retracement levels,<br />
it is clear that hav<strong>in</strong>g deduced these from ‘natural’ situations <strong>and</strong> concepts<br />
allows some degree of appropriateness. The retracements themselves so far <strong>in</strong> this<br />
experiment have about the same success rate as traditional retracements, but draw<br />
attention to the success of the 23.6% retracement, which appears <strong>in</strong> both traditional<br />
<strong>Fibonacci</strong> retracement studies <strong>and</strong> here <strong>in</strong> this ‘synthetic’ test. Although it is time<br />
consum<strong>in</strong>g to add these to a chart, <strong>in</strong> some cases these tests do bear significant fruit,<br />
so application of these retracement levels cannot truly be dismissed. However, current<br />
market dem<strong>and</strong>s do not allow for such time consum<strong>in</strong>g tests to be completed,<br />
<strong>and</strong> <strong>in</strong> the case of synthetic vertical retracements the competent analyst ga<strong>in</strong>s very<br />
little by add<strong>in</strong>g these levels due to the pressure of workload.<br />
However, this is not the case <strong>in</strong> the follow<strong>in</strong>g experiments. In the follow<strong>in</strong>g cases,<br />
I have used the same charts, but this time created ‘fanl<strong>in</strong>es’ to assist <strong>in</strong> analysis <strong>and</strong><br />
to test the effectiveness <strong>and</strong> appropriateness of us<strong>in</strong>g these retracement levels. Overall<br />
the application works well, <strong>in</strong>deed better than <strong>in</strong> the previous experiment with<br />
vertical retracement applications. This would suggest that the ‘natural’ orig<strong>in</strong> of<br />
these retracements offers itself to analysis where a ‘natural’ element exists, <strong>in</strong> this<br />
case the time axis. This is an <strong>in</strong>terest<strong>in</strong>g supposition.<br />
EXPERIMENT TWO<br />
Aga<strong>in</strong> the Schatz chart is used <strong>in</strong> the first <strong>in</strong>stance (see Figure 10.8). Remember<strong>in</strong>g<br />
that the fanl<strong>in</strong>es cannot be constructed until the significant extreme of price has<br />
been generated, these fanl<strong>in</strong>es only become useful after the May high. The fanl<strong>in</strong>es<br />
are constructed from the orig<strong>in</strong> price, through those po<strong>in</strong>ts where the vertical<br />
retracement would occur <strong>and</strong> the l<strong>in</strong>es extended.