Short-Term Stock Market Prediction Based on Candlestick Pattern Analysis

This study performs a comparative analysis and evaluates the impact of different Relative Strenght Index (RSI) and stop loss configurations on a trading algorithm based on candlesticks patterns. It is tested on both the Swedish OMXS30 market and the UK FTSE100 market. By tweaking the configurations,...

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Bibliographic Details
Main Authors: Martinssson, Filip, Liljeqvist, Ivan
Format: Others
Language:English
Published: KTH, Skolan för datavetenskap och kommunikation (CSC) 2017
Subjects:
rsi
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-209820
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spelling ndltd-UPSALLA1-oai-DiVA.org-kth-2098202018-01-14T05:11:32ZShort-Term Stock Market Prediction Based on Candlestick Pattern AnalysisengKortsiktig förutsägning av aktiemarknaden baserat på candlestick patternsMartinssson, FilipLiljeqvist, IvanKTH, Skolan för datavetenskap och kommunikation (CSC)KTH, Skolan för datavetenskap och kommunikation (CSC)2017technical analysisrsicandlestick patternstradingComputer SciencesDatavetenskap (datalogi)This study performs a comparative analysis and evaluates the impact of different Relative Strenght Index (RSI) and stop loss configurations on a trading algorithm based on candlesticks patterns. It is tested on both the Swedish OMXS30 market and the UK FTSE100 market. By tweaking the configurations, RSI and stop loss was found to have a substantial impact on the performance of the algorithm. On both OMXS30 and FTSE100 markets the difference between configurations was shown to be significant Denna studie gör en jämförelse och analyserar olika Relative Strenght Index (RSI) och stop loss-konfigurationers påverkan på en tradingalgoritm som är baserad på candlestick patterns. Algoritmen är testad på svenska OMXS30 och brittiska FTSE100. Genom att testa olika konfigurationer blev slutsatsen att RSI och stop loss hade en stor påverkar på algoritmens resultat. På både OMXS30 och FTSE100 var skillnaden mellan konfigurationerna signifikant. Student thesisinfo:eu-repo/semantics/bachelorThesistexthttp://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-209820application/pdfinfo:eu-repo/semantics/openAccess
collection NDLTD
language English
format Others
sources NDLTD
topic technical analysis
rsi
candlestick patterns
trading
Computer Sciences
Datavetenskap (datalogi)
spellingShingle technical analysis
rsi
candlestick patterns
trading
Computer Sciences
Datavetenskap (datalogi)
Martinssson, Filip
Liljeqvist, Ivan
Short-Term Stock Market Prediction Based on Candlestick Pattern Analysis
description This study performs a comparative analysis and evaluates the impact of different Relative Strenght Index (RSI) and stop loss configurations on a trading algorithm based on candlesticks patterns. It is tested on both the Swedish OMXS30 market and the UK FTSE100 market. By tweaking the configurations, RSI and stop loss was found to have a substantial impact on the performance of the algorithm. On both OMXS30 and FTSE100 markets the difference between configurations was shown to be significant === Denna studie gör en jämförelse och analyserar olika Relative Strenght Index (RSI) och stop loss-konfigurationers påverkan på en tradingalgoritm som är baserad på candlestick patterns. Algoritmen är testad på svenska OMXS30 och brittiska FTSE100. Genom att testa olika konfigurationer blev slutsatsen att RSI och stop loss hade en stor påverkar på algoritmens resultat. På både OMXS30 och FTSE100 var skillnaden mellan konfigurationerna signifikant.
author Martinssson, Filip
Liljeqvist, Ivan
author_facet Martinssson, Filip
Liljeqvist, Ivan
author_sort Martinssson, Filip
title Short-Term Stock Market Prediction Based on Candlestick Pattern Analysis
title_short Short-Term Stock Market Prediction Based on Candlestick Pattern Analysis
title_full Short-Term Stock Market Prediction Based on Candlestick Pattern Analysis
title_fullStr Short-Term Stock Market Prediction Based on Candlestick Pattern Analysis
title_full_unstemmed Short-Term Stock Market Prediction Based on Candlestick Pattern Analysis
title_sort short-term stock market prediction based on candlestick pattern analysis
publisher KTH, Skolan för datavetenskap och kommunikation (CSC)
publishDate 2017
url http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-209820
work_keys_str_mv AT martinsssonfilip shorttermstockmarketpredictionbasedoncandlestickpatternanalysis
AT liljeqvistivan shorttermstockmarketpredictionbasedoncandlestickpatternanalysis
AT martinsssonfilip kortsiktigforutsagningavaktiemarknadenbaseratpacandlestickpatterns
AT liljeqvistivan kortsiktigforutsagningavaktiemarknadenbaseratpacandlestickpatterns
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