Technical Indicators and LSTM Prediction for Stock Prices

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Term Project of Aslihan Akar.pdf

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2021-8

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Akar, Aslıhan

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In this report, we study, first, Tesla Motors’ stock price prediction in a traditional way using technical indicators like Moving Average, Relative Strength Index, Parabolic SAR, Commodity Channel Index, Stochastic Oscillator, and Awesome Oscillator in the first part. Having analyzed Tesla Motors’ stock price with traditional technical indicators, we use long short term memory model for prediction. In long short term memory model, closing prices of Tesla Motors stock are used for the last two years. The model can predict the trend successfully. The technical indicators can provide context to trends, be used to identify divergences, and even help with the timing of potential entry and exit signals. But using just one of the technical indicators is generally considered a risky decision because one must be aware of announcements and headlines that play a crucial role in determining the stock price.

Subject Keywords

Technical Indicators, Long Short Term Memory, Stock price prediction

URI

https://hdl.handle.net/11511/91531

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Graduate School of Applied Mathematics, Term Project

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Citation Formats

A. Akar, “Technical Indicators and LSTM Prediction for Stock Prices,” M.S. - Master Of Science Without Thesis, Middle East Technical University, 2021.