Random Strategy Versus Technical Analysis Strategy in The US Market

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14560%2F20%3A00120789" target="_blank" >RIV/00216224:14560/20:00120789 - isvavai.cz</a>
Result on the web
<a href="https://www.itema-conference.com/wp-content/uploads/2021/04/ITEMA-2020_Conference-Proceedings_FINAL.pdf" target="_blank" >https://www.itema-conference.com/wp-content/uploads/2021/04/ITEMA-2020_Conference-Proceedings_FINAL.pdf</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.31410/ITEMA.2020" target="_blank" >10.31410/ITEMA.2020</a>

Result language
angličtina
Original language name
Random Strategy Versus Technical Analysis Strategy in The US Market
Original language description
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
Czech name
—
Czech description
—

Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Conference Proceedings / Fourth International Scientific Conference ITEMA 2020 Recent Advances in Information Technology, Tourism, Economics, Management and Agriculture
ISBN
9788680194363
ISSN
2683-5991
e-ISSN
—
Number of pages
8
Pages from-to
121-128
Publisher name
Association of Economists and Managers of the Balkans
Place of publication
Serbia
Event location
Belgrade, Serbia
Event date
Jan 1, 2020
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—

Similar results(10)