ANALYSIS OF STOCKS MOVEMENTS USING DEEP LEARNING
Econophysics is one branch of interdisciplinary science in physics that applies theories and methods developed by physicists to solve problems in the eco- nomic field. One of the physics approaches used in economic problems such as the use of statistical physics to conduct studies on the capital...
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| Format: | Final Project |
| Language: | Indonesia |
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| Online Access: | https://digilib.itb.ac.id/gdl/view/41781 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |
| Summary: | Econophysics is one branch of interdisciplinary science in physics that applies theories and methods
developed by physicists to solve problems in the eco- nomic field. One of the physics approaches
used in economic problems such as the use of statistical physics to conduct studies on the capital
market by studying stock market movements by adopting statistical physics and com- putational
physics approaches. Shares are units of value or bookkeeping in various financial instruments that
refer to the ownership of a company. The stock price movement will be very dynamic every second.
To predict this can use two methods of analysis, the first is fundamental analysis that focuses on the
analysis of financial statements and company conditions, then the second is technical analysis
carried out by reading the movement of stock prices by looking at the graph and calculation of
historical stock price data. Technical analysis can be done using Deep Learning. Deep Learning or
Representation learning learns how to represent data so that it can be easily extracted to re- trieve
important information in making a prediction or classification machine. Using Deep Learning will
produce a machine predicting stock price movements with certain accuracy and accuracy. |
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