Technical Analysis and Trading

This subject is not offered in 2014.

Estimated total time commitment of 60 hours per semester

This subject is only available to those students who would satisfy the entry criteria for the Master of Applied Finance . who have already completed 100 points in the Master of Finance or who have completed the Postgraduate Diploma in Finance.

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For the purposes of considering requests for Reasonable Adjustments under the Disability Standards for Education (Cwth 2005), and Students Experiencing Academic Disadvantage Policy, academic requirements for this subject are articulated in the Subject Description, Subject Objectives, Generic Skills and Assessment Requirements for this entry.

The University is dedicated to provide support to those with special requirements. Further details on the disability support scheme can be found at the Disability Liaison Unit website: http://www.services.unimelb.edu.au/disability/

Technical trading analysis including pattern analysis and trends, stochastics, momentum market profiles, price-time analysis, elementary statistical evaluation of these methods.

On successful completion of this subject students should be able to:

• Explain techniques used in technical analysis;
• Compare and contrast technical analysis techniques with those of fundamental analysis;
• Apply graphical and numerical technical analysis techniques to real data;
• Assess the applicability of various technical analysis techniques in different market conditions.

• 1000 word individual assignment, or equivalent, due within two weeks of the end of the teaching period (30%);
• 2-hour final examination (70%)

You will be advised of prescribed texts by your lecturer.

This subject is not available as a breadth subject.

On successful completion of this subject, students should have improved the following generic skills:

• Oral communication
• Written communication
• Collaborative learning
• Problem solving
• Team work
• Statistical reasoning
• Application of theory to practice
• Interpretation & analysis
• Critical thinking
• Synthesis of data and other information
• Evaluation of data and other information
• Using computer software
• Accessing data and other information from a range of sources