SwePub
Sök i LIBRIS databas

  Extended search

onr:"swepub:oai:DiVA.org:kau-82752"
 

Search: onr:"swepub:oai:DiVA.org:kau-82752" > Using algorithmic t...

  • 1 of 1
  • Previous record
  • Next record
  •    To hitlist

Using algorithmic trading to analyze short term profitability of Bitcoin

Ahmad, Iftikhar (author)
University of Engineering & Technology Peshawar, PAK
Ahmad, Muhammad Ovais, Associate Professor/Lektor (author)
Karlstads universitet,Institutionen för matematik och datavetenskap (from 2013),University of Oulu, FIN,SQUAD - SOFTWARE QUALITY AND DIGITAL MODERNISATION
Alqarni, Mohammed A (author)
University of Jeddah, SAU
show more...
Almazroi, Abdulwahab Ali (author)
University of Jeddah, SAU
Khalil, Muhammad Imran (author)
University of Engineering & Technology Peshawar, PAK
show less...
 (creator_code:org_t)
2021-02-03
2021
English.
In: PeerJ Computer Science. - : PeerJ Publishing. - 2376-5992. ; 7
  • Journal article (peer-reviewed)
Abstract Subject headings
Close  
  • Cryptocurrencies such as Bitcoin (BTC) have seen a surge in value in the recent past and appeared as a useful investment opportunity for traders. However, their short term profitability using algorithmic trading strategies remains unanswered. In this work, we focus on the short term profitability of BTC against the euro and the yen for an eight-year period using seven trading algorithms over trading periods of length 15 and 30 days. We use the classical buy and hold (BH) as a benchmark strategy. Rather surprisingly, we found that on average, the yen is more profitable than BTC and the euro; however the answer also depends on the choice of algorithm. Reservation price algorithms result in 7.5% and 10% of average returns over 15 and 30 days respectively which is the highest for all the algorithms for the three assets. For BTC, all algorithms outperform the BH strategy. We also analyze the effect of transaction fee on the profitability of algorithms for BTC and observe that for trading period of length 15 no trading strategy is profitable for BTC. For trading period of length 30, only two strategies are profitable. 

Subject headings

NATURVETENSKAP  -- Data- och informationsvetenskap (hsv//swe)
NATURAL SCIENCES  -- Computer and Information Sciences (hsv//eng)

Keyword

Computer Science
Datavetenskap

Publication and Content Type

ref (subject category)
art (subject category)

Find in a library

To the university's database

  • 1 of 1
  • Previous record
  • Next record
  •    To hitlist

Search outside SwePub

Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.

 
pil uppåt Close

Copy and save the link in order to return to this view