BUSINESS INFORM JOURNAL.

УКР

ENG

Search:

REGISTRATION CERTIFICATE

KV #19905-9705 PR dated 02.04.2013.

FOUNDERS

RESEARCH CENTRE FOR INDUSTRIAL DEVELOPMENT PROBLEMS of NAS (KHARKIV, UKRAINE)

According to the decision No. 802 of the National Council of Television and Radio Broadcasting of Ukraine dated 14.03.2024, is registered as a subject in the field of print media.
ID R30-03156

PUBLISHER

Liburkina L. M.

SITE SECTIONS

Chatbot as a Trading Tool in the Cryptocurrency Market
Plakhotna Y. K., Zahreba M. M.

Plakhotna, Yuliia K., and Zahreba, Maksym M. (2021) “Chatbot as a Trading Tool in the Cryptocurrency Market.” Business Inform 11:388–394.
https://doi.org/10.32983/2222-4459-2021-11-388-394

Section: Finance, Money Circulation and Credit

Article is written in Ukrainian
Downloads/views: 19

Download article (pdf) -

UDC 336.76.066:004.891

Abstract:
Today, cryptocurrencies and topics related to information technology are attracting more attention not only on the part of traders, but also scientists. More research is being carried out aimed at the thorough study of cryptocurrencies, as well as the search for ways to facilitate interaction with blockchain. The topic of data analysis for cryptocurrencies is becoming increasingly important as the number of companies dependent on cryptocurrencies is growing rapidly. There are problems related to the cryptocurrency trading process, such as forecasting prices and trends, forecasting volatility, building a portfolio, detecting fraud, analyzing indicators for various cryptocurrencies. To solve these problems, trading bots are used. Trading bots are software products or websites that offer so-called «algorithmic trading», as they automatically analyze the actions and indicators of the market, offer strategies to maximize the trader’s profits and increase his satisfaction. They can aggregate historical market data, calculate indicators, model the order fulfillment and can even be set up to execute strategies while the customer is asleep. When analyzing the needs of the market, it turned out that there was a lack of a chat bot that would help traders or simply persons interested in the topic of cryptocurrencies to receive fresh information about the latest changes in the market. The article considers the functions and examples of performance of the chat bot CryptoAlert, created by one of the authors, which helps users to always be aware of the latest changes in the cryptocurrency market. The main function of the bot is to receive notifications about significant changes in the price of the selected coin. The use of CryptoAlert facilitates the trader’s work and significantly increases the likelihood of successful trading in the market.

Keywords: cryptocurrencies, trading, chat bot, volatility, price change schedule.

Fig.: 4. Bibl.: 14.

Plakhotna Yuliia K. – Masters Student, Central Ukrainian National Technical University (8 Universytetskyi Ave., Kropyvnytskyi, 25006, Ukraine)
Email: [email protected]
Zahreba Maksym M. – Candidate of Sciences (Economics), Associate Professor, Associate Professor, Department of Economic Theory, Marketing and Economic Cybernetics, Central Ukrainian National Technical University (8 Universytetskyi Ave., Kropyvnytskyi, 25006, Ukraine)
Email: [email protected]

List of references in article

Hassani, H., Huang, X., and Silva, E. “Big-Crypto: Big Data Blockchain and Cryptocurrency“. Big Data and Cognitive Computing, vol. 2 (2018): 10-34. DOI: https://doi.org/10.3390/bdcc2040034
Salah, K. et al. “Blockchain for AI: Review and Open Research Challenges“. IEEE Access, vol. 7 (2019): 10127-10149. DOI: 10.1109/ACCESS.2018.2890507
Sgantzos, K., and Grigg, I. “Artificial Intelligence Implementations on the Blockchain. Use Cases and Future Applications“. Future Internet, vol. 11, no. 8 (2019): 170-185. DOI: https://doi.org/10.3390/fi11080170
Lopes, V., and Alexander, L. A. “An Overview of Blockchain Integration with Robotics and Artificial Intelligence“. Ledger, suppl. 1, vol. 4 (2019). DOI: https://doi.org/10.5195/ledger.2019.171
Sabry, F. et al. “Cryptocurrencies and Artificial Intelligence: Challenges and Opportunities“. IEEE Access, vol. 8 (2020): 175840-175858. DOI: 10.1109/ACCESS.2020.3025211
Burnie, A., and Yilmaz, E. “An Analysis of the Change in Discussions on Social Media with Bitcoin Price“. SIGIR'19: Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information, 2019. 889-892. DOI: https://doi.org/10.1145/3331184.3331304
Xie, Q. et al. “Chatbot Application on Cryptocurrency“. IEEE Conference on Computational Intelligence for Financial Engineering & Economics (CIFEr), 2019. DOI: 10.1109/CIFEr.2019.8759121
Xi, D., O'Brien, T. I., and Irannezhad, E. “Investigating the Investment Behaviors in Cryptocurrency“. The Journal of Alternative Investments Fall, vol. 23, no. 2 (2020): 141-160. DOI: https://doi.org/10.3905/jai.2020.1.108
Keller, A., and Scholz, M. “Trading on Cryptocurrency Markets: Analyzing the Behavior of Bitcoin Investors“. ICIS 2019 Proceedings: Trading on Cryptocurrency Markets (Munich, Germany, Dec. 15-18). https://aisel.aisnet.org/icis2019/blockchain_fintech/blockchain_fintech/11
Ermilov, D., Panov, M., and Yanovich, Y. “Automatic bitcoin address clustering“. 16th IEEE International Conference on Machine Learning and Applications (ICMLA), 2017. 461-466. DOI: 10.1109/ICMLA.2017.0-118
Ranshous, S. et al. “Exchange Pattern Mining in the Bitcoin Transaction Directed Hypergraph“. Financial Cryptography and Data Security. FC 2017. Lecture Notes in Computer Science, vol. 10323 (2017). DOI: https://doi.org/10.1007/978-3-319-70278-0_16
Jourdan, M. et al. “Characterizing entities in the bitcoin blockchain“. International Conference on Data Mining, 2018. 55-62. DOI: 10.1109/ICDMW.2018.00016
Sun Yin, H. H. et al. “Regulating Cryptocurrencies: A Supervised Machine Learning Approach to De-Anonymizing the Bitcoin Blockchain“. Journal of Management Information Systems, vol. 36, no. 1 (2019): 37-73. DOI: https://doi.org/10.1080/07421222.2018.1550550
Lin, Y.-J et al. “An Evaluation of Bitcoin Address Classification Based on Transaction History Summarization“. 2019 IEEE International Conference on Blockchain and Cryptocurrency (ICBC), 2019. DOI: 10.1109/BLOC.2019.8751410

FOR AUTHORS

License Contract

Conditions of Publication

Article Requirements

Regulations on Peer-Reviewing

Publication Contract

Current Issue

Frequently asked questions

INFORMATION

The Plan of Scientific Conferences

OUR PARTNERS

Journal «The Problems of Economy»

The site and its metadata are licensed under CC BY-SA.

Write to webmaster