Attracting innovative artificial intelligence tools to the cryptocurrency market
Increasing the security of cryptocurrency market participants. Optimizing the investment portfolio of traders. The use of artificial intelligence and chatbots in the financial and trade spheres. Prevention of fraud, detection of suspicious transactions.
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State Biotechnological University
Attracting innovative artificial intelligence tools to the cryptocurrency market
Mykytas Arkadii, Blyzniuk Oksana,
Goroh Oleksandr, Nagayeva Galyna
Анотація
Залучення інноваційних засобів штучного інтелекту на ринок криптовалют
Микитась Аркадій, Блузнюк Оксана, Горох Олександр, Нагаєва Галина Державний біотехнологічний університет
Метою статті є проведення дослідження та визначення важливості та переваг використання інструментів штучного інтелекту (ШІ) для окремих сфер криптовалютного ринку, зокрема виявлення та запобігання шахрайству на ринку криптовалют, а також можливості використання ШІ чат-ботів у торгівлі та формуванні інвестиційних портфелів. У статті аналізується зростання цифрових валют і збільшення кількості хакерських атак, визначається роль ШІ в забезпеченні безпеки, розглядаються методи виявлення та запобігання шахрайству, аналізуються перспективи розвитку. ШІ відіграє вирішальну роль у виявленні підозрілих транзакцій і запобіганні шахрайству. Дослідження спрямоване на вивчення переваг і потенційних ризиків ботів ШІ. Інтеграція штучного інтелекту змінила ринок, забезпечивши більш обґрунтоване прийняття рішень, покращивши інвестиційні стратегії та вищі прибутки.
У статті наголошується на необхідності постійних досліджень розвитку штучного інтелекту в криптовалюті, обговорюючи виклики та потенціал сфери фінансування. Інтеграція штучного інтелекту у виявлення шахрайства довела перевагу, дозволяючи аналізувати дані в реальному часі та розпізнавати шаблони, підвищуючи безпеку для інвесторів. У статті також розглядаються такі проблеми, як упередженість алгоритму та переміщення трейдерів і використання чат-ботів ШІ. Визнаючи ризики, вона підкреслює позитивний вплив штучного інтелекту на ефективність, надійність і безпеку на ринку криптовалют. Стаття представляє алгоритмізацію можливостей і процедур залучення штучного інтелекту до боротьби з шахрайством, а також рекомендації для учасників ринку та регулятори. Представлені результати підкреслюють наявний інноваційний потенціал ШІ для підвищення безпеки та ефективності функціонування учасників ринку криптовалют. Загалом у статті стверджується, що трансформаційний вплив штучного інтелекту на ринок криптовалют змінює ситуацію, формуючи майбутнє галузі та створюючи можливості для зростання та інновацій.
Ключові слова: криптовалюта, штучний інтелект (ШІ), виявлення шахрайства, чат-боти, торгівля, оптимізація інвестиційного портфеля, інтеграція штучного інтелекту, фінанси, інноваційний потенціал.
Abstract
The purpose of the article is to conduct a study and determine the importance and benefits of using artificial intelligence (AI) tools for certain areas of the cryptocurrency market, in particular, detecting and preventing fraud in the cryptocurrency market, as well as the possibilities of using AI chatbots in trading and in the formation of investment portfolios.
The article covers the analysis of the growth of digital currencies and the increasing number of hacker attacks, defines the role of AI in ensuring security, considers methods of fraud detection and prevention, and analyses development prospects. AI plays a crucial role in identifying suspicious transactions and preventing fraud.
The study aims to investigate the benefits and potential risks of AI bots. AI's integration has transformed the market, enabling more informed decision-making, improved investment strategies, and higher returns.
The article emphasizes the need for ongoing research into the evolving landscape of AI in cryptocurrency, discussing challenges, and the potential to finance sphere.
The integration of AI in fraud detection has proven advantageous, enabling real-time data analysis and pattern recognition, enhancing security for investors. The article also addresses concerns such as algorithmic bias and the displacement of traders and using AI chat bots.
While acknowledging the risks, it highlights the positive impact of AI on efficiency, reliability, and security in the cryptocurrency market
The article presents an algorithmisation of the possibilities and procedures for engaging artificial intelligence in the fight against fraud, as well as recommendations for market participants and regulators.
The presented results highlight the existing innovative potential of AI to improve the security and efficiency of the functioning of participants in the cryptocurrency market.
Overall, the article suggests that AI's transformative influence in the cryptocurrency market is a game changer, shaping the industry's future and presenting opportunities for growth and innovation.
Keywords: Cryptocurrency, Artificial intelligence (AI), Fraud Detection, Chatbots, Trading, Investment Portfolio Optimization, AI Integration, Finance, Innovative Potential.
Introduction
Problem statement in general terms. One of the key topics is the use of AI to analyse and predict market trends, allowing investors to make more informed decisions. However, along with the growth of digital currencies, the number of hacking attempts and fraud has increased. Fraud is a common phenomenon in the digital currency market, and artificial intelligence has helped to identify suspicious transactions and prevent them from being carried out. AI trading bots are becoming increasingly popular in the cryptocurrency market. AI bots use sophisticated algorithms to make trades on behalf of investors based on market data and trends. Further research is needed into the benefits and potential risks of using AI bots, as well as into the ethical issues associated with their use. With the development of machine learning and natural language processing, artificial intelligence can improve the way we trade and interact with digital currencies. The integration of AI in the cryptocurrency market has proven to be a game changer. The use of AI has allowed investors to make more informed decisions by analysing and accurately predicting market trends. This has led to improved investment strategies and higher investment returns. In the near future, it is possible that the integration of artificial intelligence in the cryptocurrency market will grow with the development of machine learning and natural language processing. This will lead to new and interesting ways of trading and interacting with digital currencies, shaping the cryptocurrency format in the coming years, which is why this study is relevant.Формулювання цілей дослідження.
The purpose of the article is to conduct a study and determine the importance and benefits of using artificial intelligence (AI) tools for certain areas of the cryptocurrency market, in particular, detecting and preventing fraud in the cryptocurrency market, as well as the possibilities of using AI chatbots in trading and in the formation of investment portfolios.
The main research material
The integration of AI technology in the cryptocurrency market is a game changer. Its benefits go beyond improving market efficiency and competitiveness. With its ability to analyze data, identify trends, and make informed predictions, AI has the potential to revolutionize the way we approach investments. It provides market participants with an edge by minimizing risks and optimizing trading strategies. Moreover, AI's ability to automate compliance processes enhances regulatory compliance, reducing time and resource costs. As AI continues to evolve, we can expect more innovative solutions and technologies to emerge, further advancing the cryptocurrency market. The use of AI tools has indeed transformed the market, making it more reliable and secure for investors.
One of the key advantages of AI in the cryptocurrency market is its capacity to analyze vast amounts of data in real-time. This enables traders to make more informed decisions and react more quickly to market changes, giving them a competitive edge over other market participants. Additionally, AI can help to identify patterns and trends that may not be visible to human traders, which can lead to more accurate predictions and better investment outcomes. Another significant benefit of AI in the cryptocurrency market is its ability to automate compliance processes. This is particularly important given the complex regulatory landscape surrounding cryptocurrency trading. By automating compliance checks, AI can reduce the risk of non-compliance, saving time and money for traders and businesses alike. Overall, the integration of AI technology in the cryptocurrency market is a positive development for investors and traders. As AI continues to evolve and new technologies emerge, we can expect to see even more innovative solutions that transform the way we approach investments and trading [1-8].
AI can use machine learning algorithms to analyze historical data and identify market trends. This helps cryptocurrency market participants make more accurate predictions and make informed trading and investment decisions. One of the biggest advantages of AI analytics and forecasting is that it can process vast amounts of data in real-time, something that would be impossible for humans to do manually. This means that cryptocurrency traders and investors can react quickly to market changes and stay ahead of the competition. Additionally, with AI algorithms constantly learning and adapting to new market conditions, the accuracy of predictions and forecasts only improves over time. As the cryptocurrency market continues to grow and evolve, AI will undoubtedly play an increasingly important role in helping participants navigate the complexities of this exciting and volatile space. cryptocurrency market security financial intelligence
To providing insights into market trends, AI can also be used to monitor and detect fraudulent activities. With the increasing popularity of cryptocurrencies, cases of cyber attacks and fraudulent transactions have become more common. AI algorithms can analyze transaction patterns and flag any suspicious activities, helping to mitigate the risk of financial losses. This level of security is especially important for institutional investors, who need to ensure that their investments are protected.
However, the use of AI in the cryptocurrency market also presents some challenges and potential risks. One of the major concerns is the potential for AI to reinforce biases and create new ones, which may lead to unfair or discriminatory practices. Additionally, the reliance on AI tools may create a false sense of security among market participants, which could lead to complacency and increased vulnerability to cyber attacks [5-11].
Furthermore, the use of AI in the cryptocurrency market raises ethical questions around the role of technology in financial decision making. Critics argue that the increasing use of AI tools in the market may lead to the displacement of human traders and reduce the transparency of trading practices. Despite these challenges, the benefits of AI in the cryptocurrency market outweigh the risks and challenges. It has the potential to revolutionize the way we approach investments and trading, making it more efficient, reliable, and secure for all participants. As the technology continues to evolve, regulations and ethical standards must be put in place to ensure its responsible use and to mitigate potential risks. The integration of AI in the cryptocurrency market is undoubtedly a game changer, and its impact will only continue to grow in the future.
Fig. 1. Algorithm for using artificial intelligence in the cryptocurrency market [1-14]
The role of artificial intelligence in detecting and preventing fraud in the cryptocurrency market is revealed in various aspects. With the growth of digital currencies, the number of hacking attempts and fraud has increased. Artificial intelligence can help detect suspicious transactions and prevent them from taking place. Procedures may include analysing transaction patterns, monitoring network traffic, and flagging any anomalies that may indicate fraudulent activity. AI can also help financial institutions and regulators identify potential risks and vulnerabilities in their systems and take proactive measures to prevent fraud. In addition, AI-powered tools can help simplify the compliance process by reducing the time and resources required to conduct KYC and AML checks. As the cryptocurrency market continues to grow, the role of AI in ensuring its security and integrity will become increasingly important [4-9].
One of the main advantages of using AI for fraud detection is that it can analyse huge amounts of data in real time, much faster than any human can. This means that potential fraud can be detected and stopped before it can cause significant damage. In addition, AI can learn and adapt to new types of fraud, making it an effective tool for preventing even the most sophisticated attacks. However, it is important to note that AI is not a perfect solution and should be used in combination with traditional fraud detection methods. As the field of artificial intelligence continues to evolve, we can expect to see even more innovative solutions to detect and prevent fraud in the cryptocurrency market.
The role of artificial intelligence in the security of the cryptocurrency market is growing, and its fraud detection and prevention capabilities provide significant gains in speed and efficiency compared to traditional methods. It is recommended to use AI in combination with traditional fraud detection tools to achieve maximum efficiency and security. One of the main advantages of AI-powered fraud detection is its ability to analyze large amounts of data in real-time, making it easier to detect and prevent fraudulent activities. By using machine learning algorithms, AI can learn from past fraud attempts and improve its accuracy over time, allowing it to detect even the most sophisticated attacks. AI can also help improve the user experience by reducing false positives, which are cases where legitimate transactions are flagged as fraudulent. This is achieved by analyzing user behavior and identifying patterns that are typical of normal transactions. Despite the benefits of AI, it is important to note that it is not a silver bullet solution to all security issues.
AI-powered fraud detection should be used in conjunction with traditional methods such as manual review and human oversight to ensure maximum security and accuracy. The use of AI in cryptocurrency security is an exciting development that is poised to transform the industry. As technology continues to advance, we can expect to see even more sophisticated AI-powered security solutions emerge in the future [6-12].
Another benefit of AI in the cryptocurrency market is its ability to automate trading. AI-powered trading bots can execute trades based on pre-programmed rules and algorithms, eliminating the need for manual intervention. This not only saves time but also reduces the risk of human error. With the ability to monitor multiple exchanges simultaneously, these bots can identify and take advantage of arbitrage opportunities and other profitable trades, further increasing the potential for returns. Trading bots with artificial intelligence (AI) are gaining more and more popularity in the cryptocurrency market. AI bots use sophisticated algorithms to make deals on behalf of investors based on market data and trends. Research on the benefits and potential risks of using AI bots, as well as ethical issues related to their use, require further research.
Many investors have found that trading bots can be a useful tool in automating their investment strategies and maximizing profits. AI bots are particularly valuable in the cryptocurrency market, where rapid changes in market conditions can make it challenging to stay ahead of the curve. By using advanced algorithms, AI bots can analyze market trends and data in real-time, making quick decisions about when to buy and sell assets.
The use of AI bots also raises important ethical questions. Some investors worry that bots could be programmed to manipulate the market or engage in insider trading, which could harm smaller investors. Additionally, there are concerns about the potential for bots to perpetuate existing biases or discrimination in the market.
As the use of AI bots becomes more widespread, it will be important to carefully consider the potential risks and benefits. The use of AI bots in the cryptocurrency market is not without its risks. While these bots can analyze market data and trends quickly and accurately, they still rely on algorithms that are only as good as the data they are based on. Inaccurate or incomplete data can lead to poor investment decisions, which can result in significant financial losses for investors [8-14].
The cryptocurrency market is largely unregulated, which means that there are few protections in place to prevent scams or fraudulent activity. As a result, investors must be cautious when using trading bots and should always conduct thorough research before investing in any cryptocurrency. Despite these risks, the use of AI bots in the cryptocurrency market is likely to continue to grow in popularity.
As technology continues to advance and more investors seek to automate their investment strategies, the use of AI bots will become increasingly common. It will be up to regulators, developers, and investors to work together to ensure that these tools are being used in a responsible and ethical manner, in order to protect both investors and the integrity of the market. It is important to note that while AI bots can be a useful tool for investors, they should not be relied on as the sole factor in making investment decisions. Investors should still conduct their own research and analysis, and use bots as one tool among many in their investment strategy. Investors should be cautious of scams and fraudulent activity in the cryptocurrency market.
The use of AI bots in the cryptocurrency market can be a valuable tool for investors, but it is important to carefully consider the potential risks and benefits. Investors should exercise caution and conduct thorough research before making any investment decisions in the cryptocurrency market. Investing in financial markets can be a risky venture. To minimize the risks involved, investors need to understand the market trends and make informed decisions. AI algorithms can analyze vast amounts of market data and help investors identify potential risks and opportunities. By using these algorithms, investors can optimize their investment portfolio to achieve their financial goals. With the help of AI, investors can make data-driven decisions that can lead to higher returns and a more secure financial future. Overall, AI-powered risk minimization and portfolio optimization can be a valuable tool for investors seeking to navigate the complex world of finance.
AI algorithms are designed to analyze complex data sets, identify patterns, and make predictions. This makes them an ideal tool for investment portfolio management. Through the use of AI, investors can minimize risks by identifying potential losses and making adjustments to their portfolio. AI algorithms can also help investors optimize their portfolio by identifying opportunities to maximize returns. With the help of AI, investors can make informed decisions that are backed by data rather than emotions, which can lead to more secure investments. As the financial markets continue to become more complex, AI-powered risk minimization and portfolio optimization will become an increasingly important tool for investors [6-12].
However, it is important to note that AI algorithms should not be the sole basis for investment decisions. Investors should still exercise caution and consider other factors such as their financial goals, risk tolerance, and market conditions. While AI can provide valuable insights, it is ultimately up to the investor to make the final decision.
Additionally, the use of AI in finance raises ethical concerns such as algorithmic bias and lack of transparency. It is important for investors to be aware of these issues and ensure that AI is being used ethically and responsibly. Overall, AI has the potential to revolutionize the world of finance and provide investors with valuable tools for risk management and portfolio optimization, but it should be used in conjunction with human expertise and judgement. One of the key benefits of AI in the cryptocurrency industry is its ability to analyze vast amounts of data and identify patterns and trends that human analysts may miss. This can help traders and investors make more informed decisions and mitigate risks in real-time. With the help of AI, the cryptocurrency industry can continue to evolve and create new opportunities for growth and investment. As such, it is no wonder that many businesses are investing heavily in AI research and development to stay ahead of the curve in this fast-paced industry.
Moreover, AI can also assist in the development of new cryptocurrencies and blockchain technology. AI algorithms can help optimize the performance and efficiency of blockchain networks, leading to faster transaction times and lower fees. This can make cryptocurrencies more accessible and attractive to a wider range of users, thereby increasing adoption rates and market demand. Additionally, AI can be used to develop new financial products and services that are tailored to the needs of cryptocurrency users, such as automated trading bots and investment platforms. Overall, the integration of AI in the cryptocurrency industry has the potential to revolutionize the way we think about money and finance, and pave the way for a more decentralized and economy.
Conclusions and prospects for further research
Artificial intelligence (AI) has been increasingly employed in the cryptocurrency market, particularly in areas such as fraud detection, risk management, and price prediction. By using algorithms and machine learning techniques, AI tools are able to detect patterns and anomalies in trading activities and identify potential security threats. The use of AI in the cryptocurrency market has also led to the development of new trading strategies and investment tools.
The cryptocurrency industry benefits from AI's ability to analyze vast amounts of data to identify patterns and trends for informed decision-making, risk mitigation, fraud prevention, and enhanced security. AI can also optimize blockchain network performance, leading to faster transaction times and lower fees, increasing adoption rates and market demand. It can develop new financial products and services for cryptocurrency users, paving the way for a more decentralized and democratized economy. Many businesses invest heavily in AI research and development to stay ahead in the fast-paced cryptocurrency industry. AI algorithms can help investors minimize risks and optimize their investment portfolio by analyzing vast amounts of market data to identify potential opportunities and losses. While AI can provide valuable insights, investors should exercise caution and consider other factors, such as their financial goals and market conditions.
Overall, the integration of artificial intelligence in the cryptocurrency market has brought about numerous benefits, including enhanced efficiency, improved security, and greater accessibility for investors. As the technology continues to evolve, it is likely that AI will play an even more significant role in shaping the future of the cryptocurrency industry.
References
1. Sabry F., Labda W., Erbad A., Malluhi Q. Cryptocurrencies and Artificial Intelligence: Challenges and Opportunitie. IEEE Access, 2020. Vol. 8, pp. 175840-175858 doi: 10.1109/ACCESS.2020.3025211.
2. An Y.J., Choi P.M.S., Huang S.H. Blockchain, cryptocurrency, and artificial intelligence in finance. Fintech with artificial intelligence, big data, and blockchain, 2021. Pp. 1-34. Singapore:Springer Singapore. https://link.springer.com/chapter/10.1007/978-981-33-6137-9 1
3. Aziz L.A.R., Andriansyah Y. The Role Artificial Intelligence in Modern Banking: An Exploration of AI-Driven Approaches for Enhanced Fraud Prevention, Risk Management, and Regulatory Compliance. Reviews of Contemporary Business Analytics, 2023. Vol. 6(1). Pp. 110-132. Retrieved from https://researchberg.com/index.php/rcba/article/view/153
4. Choithani T., Chowdhury A., PatelS., Patel P., Patel D., Shah M. A comprehensive study of artificial intelligence and cybersecurity on Bitcoin, crypto currency and banking system. Annals of Data Science, 2022. Pp. 1-33. https://link.springer.com/article/10.1007/s40745-022-00433-5
5. Agarwal J.D., Agarwal M., Agarwal A., Agarwal Y. Economics of cryptocurrencies: Artificial intelligence, blockchain, and digital currency. Information for Efficient Decision Making: Big Data, Blockchain and Relevance, 2021. Pp. 331-430. https://doi.org/10.1142/9789811220470_0013
6. Kaswan K.S.,Dhatterwal J.S., Kumar N. Lal S. Artificial Intelligence for Financial Services. Contemporary Studies of Risks in Emerging Technology, Part A (Emerald Studies in Finance, Insurance, and Risk Management), Emerald Publishing Limited, Leeds, 2023. Pp. 71-92. https://doi.org/10.1108/978-1-80455-562-020231006
7. Lakhchini W., Wahabi R., El Kabbouri M., Bp C., Hassan S. Artificial Intelligence & Machine Learning International Journal of Accounting, Finance, Auditing, Management and Economics, 2022.
8. Chan L., Hogaboam L., Cao R. Artificial Intelligence in Finance. Applied Artificial Intelligence in Business: Concepts and Cases, 2022. Pp. 101-118. Cham: Springer International Publishing. https://link.springer.com/chapter/10.1007/978-3-031-05740-3 7
9. Fernandez A. Artificial intelligence in financial services. Economic Bulletin. 2019. https: / / doi.org / 10.2139/ssrn.3366846
10. Konigstorfer F., Thalmann S. Applications of Artificial Intelligence in commercial banks - A research agenda for behavioral finance. Journal of Behavioral and Experimental Finance, 2020. Vol. 27. 100352. https:/ / doi.org/10.1016/i.ibef.2020.100352
11. Mhlanga D. Industry 4.0 in finance: The impact of Artificial Intelligence (AI) on digital financial inclusion. 2020. https: / / www.mdpi.com/2227-7072/8/3/45/htm
12. Kaur K., Kumar Y., Kaur S. Artificial Intelligence and Machine Learning in Financial Services to Improve the Business System. Computational Intelligence for Modern Business Systems: Emerging Applications and Strategies, 2023. Pp. 3-30. Singapore: Springer Nature Singapore. https://link.springer.com/chapter/10.1007/978-981-99-5354-7_1
13. Cao L., Yang Q., Yu P.S. Data science and AI in FinTech: An overview. International Journal of Data Science and Analytics, 2021. Vol. 12, Pp. 81-99. https://link.springer.com/ article/10.1007/s41060-021-00278-w
14. Cao L. AI in Finance:A Review (July 10,2020). Available at
SSRN: https:// ssrn.com/ abstract=3647625 or http:// dx.doi.org/10.2139/ ssrn.3647625
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