Random Strategy Versus Technical Analysis Strategy in The US
Market

D 2020

Random Strategy Versus Technical Analysis Strategy in The US Market

SVOBODA, Miroslav a Martina SPONEROVÁ

Základní údaje

Originální název

Random Strategy Versus Technical Analysis Strategy in The US Market

Autoři

SVOBODA, Miroslav a Martina SPONEROVÁ

Vydání

Serbia, Conference Proceedings / Fourth International Scientific Conference ITEMA 2020 Recent Advances in Information Technology, Tourism, Economics, Management and Agriculture, od s. 121 - 128, 8 s. 2020

Nakladatel

Association of Economists and Managers of the Balkans

Další údaje

Jazyk

angličtina

Typ výsledku

Stať ve sborníku

Obor

50206 Finance

Stát vydavatele

Srbsko

Utajení

není předmětem státního či obchodního tajemství

Forma vydání

elektronická verze "online"

Odkazy

ITEMA CONFERENCE, ITEMA 2020Conference Proceedings

Označené pro přenos do RIV

Ano

Kód RIV

RIV/00216224:14560/20:00120789

Organizační jednotka

Ekonomicko-správní fakulta

ISBN

978-86-80194-36-3

ISSN

DOI

https://doi.org/10.31410/ITEMA.2020

Klíčová slova anglicky

Investment Decisions; Foreign Exchange Markets; Moving Average; Backtesting; US Market; Relative Strength Index

Změněno: 16. 5. 2022 08:39, Mgr. Pavlína Kurková

Anotace

V originále

Random strategy is currently an interesting alternative to traditional trading of financial instruments. The paper builds on existing research into the trading of investment instruments through random strategy and strategies based on technical analysis. The highly liquid USD/CAD currency pair was chosen for the US market research. We analyze five years of data, and in every intraday trading session, only a single position will be opened. Technical analysis strategy uses essential indicators such as Bollinger Bands, relative strength index (RSI), moving averages (MA) and other. Every trading position will have the risk-reward ratio (RRR) 3 to 1. In addition, another trading positions on the USD/CAD currency pair will be opened without technical analysis. The time of entry into position will be indicated randomly with a similar risk-reward ratio (RRR) 3 to 1. The aim of this paper is to assess which of the above strategies is more suitable for the investor. In other words, this paper aims to compare the strategy of technical analysis and the random strategy in intraday trading concerning the profitability of these trades. We expect that a random strategy will be more suitable for the investor in many points

Návaznosti

MUNI/A/1081/2019, interní kód MU

Název: Predikce rizik na vybraných finančních trzích (Akronym: PRVFT)

Investor: Masarykova univerzita, Predikce rizik na vybraných finančních trzích, DO R. 2020_Kategorie A - Specifický výzkum - Studentské výzkumné projekty

Citovat

SVOBODA, Miroslav a Martina SPONEROVÁ. Random Strategy Versus Technical Analysis Strategy in The US Market. Online. In Vuk BEVANDA, PhD, Associate Professor, Faculty of Social Sciences, Belgrade, Serbia. Conference Proceedings / Fourth International Scientific Conference ITEMA 2020 Recent Advances in Information Technology, Tourism, Economics, Management and Agriculture. Serbia: Association of Economists and Managers of the Balkans, 2020, s. 121 - 128. ISBN 978-86-80194-36-3. Dostupné z: https://doi.org/10.31410/ITEMA.2020.

@inproceedings{1691798,
   author = {Svoboda, Miroslav and Sponerová, Martina},
   address = {Serbia},
   booktitle = {Conference Proceedings / Fourth International Scientific Conference ITEMA 2020 Recent Advances in Information Technology, Tourism, Economics, Management and Agriculture},
   doi = {https://doi.org/10.31410/ITEMA.2020},
   editor = {Vuk BEVANDA, PhD, Associate Professor, Faculty of Social Sciences, Belgrade, Serbia},
   keywords = {Investment Decisions; Foreign Exchange Markets; Moving Average; Backtesting; US Market; Relative Strength Index},
   howpublished = {elektronická verze "online"},
   language = {eng},
   location = {Serbia},
   isbn = {978-86-80194-36-3},
   pages = {121 - 128},
   publisher = {Association of Economists and Managers of the Balkans},
   title = {Random Strategy Versus Technical Analysis Strategy in The US Market},
   url = {https://www.itema-conference.com/wp-content/uploads/2021/04/ITEMA-2020_Conference-Proceedings_FINAL.pdf},
   year = {2020}
}

TY  - CONF
ID  - 1691798
AU  - Svoboda, Miroslav - Sponerová, Martina
PY  - 2020
TI  - Random Strategy Versus Technical Analysis Strategy in The US Market
PB  - Association of Economists and Managers of the Balkans
CY  - Serbia
SN  - 9788680194363
KW  - Investment Decisions
KW  - Foreign Exchange Markets
KW  - Moving Average
KW  - Backtesting
KW  - US Market
KW  - Relative Strength Index
UR  - https://www.itema-conference.com/wp-content/uploads/2021/04/ITEMA-2020_Conference-Proceedings_FINAL.pdf
N2  - Random strategy is currently an interesting alternative to traditional trading of financial instruments. The paper builds on existing research into the trading of investment instruments through random strategy and strategies based on technical analysis. The highly liquid USD/CAD currency pair was chosen for the US market research. We analyze five years of data, and in every intraday trading session, only a single position will be opened. Technical analysis strategy uses essential indicators such as Bollinger Bands, relative strength index (RSI), moving averages (MA) and other. Every trading position will have the risk-reward ratio (RRR) 3 to 1. In addition, another trading positions on the USD/CAD currency pair will be opened without technical analysis. The time of entry into position will be indicated randomly with a similar risk-reward ratio (RRR) 3 to 1. The aim of this paper is to assess which of the above strategies is more suitable for the investor. In other words, this paper aims to compare the strategy of technical analysis and the random strategy in intraday trading concerning the profitability of these trades. We expect that a random strategy will be more suitable for the investor in many points
ER  -

SVOBODA, Miroslav a Martina SPONEROVÁ. Random Strategy Versus Technical Analysis Strategy in The US Market. Online. In Vuk BEVANDA, PhD, Associate Professor, Faculty of Social Sciences, Belgrade, Serbia. \textit{Conference Proceedings / Fourth International Scientific Conference ITEMA 2020 Recent Advances in Information Technology, Tourism, Economics, Management and Agriculture}. Serbia: Association of Economists and Managers of the Balkans, 2020, s.~121 - 128. ISBN~978-86-80194-36-3. Dostupné z: https://doi.org/10.31410/ITEMA.2020.

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