Language of instruction: |
English |
Type of course: |
Non-Departmental Elective |
Course Level: |
Bachelor’s Degree (First Cycle)
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Mode of Delivery: |
Face to face
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Course Coordinator : |
Dr. Öğr. Üyesi BAHAR KÖSEOĞLU |
Course Lecturer(s): |
Dr. Öğr. Üyesi HAKKI ÖZTÜRK
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Recommended Optional Program Components: |
None |
Course Objectives: |
Timing and forecasting in financial markets course was designed to familiarize the students with the basics of technical analysis and teach how to correctly use technical tools. Technical analysis is the forecasting of future financial price movements based on an examination of past price movements. Like weather forecasting, it does not result in absolute predictions about the future. Instead, the tools used for forecasting can help investors anticipate what is "likely" to happen to prices over time. The course will help the students to forecast for short-term stock market trends and also will show the techniques for long term predictions. A program called Metastock will be used in class. The updated data for all the markets (stock, fx, commodity, money markets) will be provided by matriks. This course provides an insight to the trading rules and the indicators of technical analysis. At the end of the course, the students are expected to figure out how to forecast the market and price movements in financial markets using major patterns, indicators and oscillators.
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Week |
Subject |
Related Preparation |
1) |
Introduction to Technical Market Analysis Introduction to Metastock Program
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2) |
How to Use Metastock Program
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3) |
Chart Reading, Interpretation of Price Charts
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4) |
Major Patterns in Financial Markets
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5) |
Moving Averages
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6) |
Random Walk Index, MACD
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7) |
Momentum, P(ROC)
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8) |
Cycles, Timing Systems, Elliot Wave, Bollinger Bands
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9) |
Polarized Fractal Efficiency, Parabolic SAR
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10) |
Money Flow Index-Commodity Channel Index
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11) |
Stochastic, RSI, Trix, Directional Moving Indicator
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12) |
Timing and Forecasting Methods Using Some Indicators and Oscillators
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13) |
Timing and Forecasting Methods Using Some Indicators and Oscillators |
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14) |
Constructing a Buy-Sell System in Metastock |
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Program Outcomes |
Level of Contribution |
1) |
Have sufficient background in mathematics, science and artificial intelligence engineering. |
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2) |
Use theoretical and applied knowledge in the fields of mathematics, science and artificial intelligence engineering together for engineering solutions. |
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3) |
Identify, define, formulate and solve engineering problems, select and apply appropriate analytical methods and modeling techniques for this purpose. |
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4) |
Analyse a system, system component or process and design it under realistic constraints to meet desired requirements; apply modern design methods in this direction. |
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5) |
Select and use modern techniques and tools necessary for engineering applications. |
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6) |
Design and conduct experiments, collect data, and analyse and interpret results. |
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7) |
Work effectively both as an individual and as a multi-disciplinary team member. |
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8) |
Access information via conducting literature research, using databases and other resources |
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9) |
Follow the developments in science and technology and constantly update themself with an awareness of the necessity of lifelong learning. |
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10) |
Use information and communication technologies together with computer software with at least the European Computer License Advanced Level required by their field. |
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11) |
Communicate effectively, both verbal and written; know a foreign language at least at the European Language Portfolio B1 General Level. |
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12) |
Have an awareness of the universal and social impacts of engineering solutions and applications; know about entrepreneurship and innovation; and have an awareness of the problems of the age. |
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13) |
Have a sense of professional and ethical responsibility. |
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14) |
Have an awareness of project management, workplace practices, employee health, environment and work safety; know the legal consequences of engineering practices. |
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