Empirical Tests of Market Efficiency – Pattern Recognition and Machine Learning from Technical Signals in a Liquid Stock Market

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Journal Title

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Volume Title

School of Business | Master's thesis

Date

2018

Major/Subject

Mcode

Degree programme

Finance

Language

en

Pages

64 + 4

Series

Description

Thesis advisor

Puttonen, Vesa

Keywords

weak-form efficiency, technical analysis, stock market, pattern recognition, machine learning, systematic trading

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