Architecture of Automated Crypto-Finance Agent

Raheman, Ali; Kolonin, Anton; Goertzel, Ben; Hegykozi, Gergely; Ansari, Ikram

doi:10.48550/arxiv.2107.07769

Cited by 2 publications

(2 citation statements)

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“…One downside here is that those funds (i.e., 100k USDT locked) cannot be used while locked. The earnings can be further enhanced by taking the returned coin (the cUSDT for Compound), locking those funds in an exchange pool on Balancer (a trading platform and automated portfolio manager on Ethereum [73]), and earning trading fees on that platform (i.e., outdistancing further earnings).…”

Section: Yield Farmingmentioning

confidence: 99%

Blockchain in Financial Services: Current Status, Adaptation Challenges, and Future Vision

Mia

Rahouti

Jagatheesaperumal³

et al. 2022

Preprint

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Blockchain is undoubtedly considered one of the most innovative technologies in financial services from the past decade. Interests in blockchain technology continue to grow on a daily basis, while many promising blockchain-enabled applications and services continue to draw financial interests in the industrial sector and the broader financial services communities. Furthermore, as blockchain matures, it increases the value of a diversified range of industries and institutes with a better return on investment. However, such organizations must continue to adopt rigorous approaches to enhance their financial services and regulate their policies. In this article, we discuss the current status of blockchain-enabled financial services and applications, in addition to the impacts, implications, and regulations of incorporating blockchain technology in the finance industry. We further tackle the adaptation model for blockchain technology in global banking and provide a vision for the next generation of financial services based on this emerging technology.

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Section: Yield Farmingmentioning

confidence: 99%

Blockchain in Financial Services: Current Status, Adaptation Challenges, and Future Vision

Mia

Rahouti

Jagatheesaperumal³

et al. 2022

Preprint

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“…We summarize our literary analysis in Table 2. 2021) proposed a compact architecture that combines several machine learning predictive models with distinct tasks like portfolio planner, strategy evaluator, pool weighting, signal generator, and sentiment watcher to construct an automated agent for active portfolio management in decentralized finance [53]. Together they form an intelligent profile for an investor using CEX or DEX for trading.…”

Section: Literary Analysis Publication Overviewmentioning

confidence: 99%

Promise of AI in DeFi, a Systematic Review

Sadman¹,

Ahsan

Rahman³

et al. 2022

Digital

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Decentralized Finance (DeFi) is an emerging and revolutionizing field with notable uncertainties of reliability to be used on a mass scale. On the other hand, Artificial Intelligence (AI) has proved to be a crucial helping tool in numerous domains. In this study, we present a systematic review of the utility of AI in DeFi in terms of impact, reliability, and security and conduct exhaustive analysis. The review was motivated by an in-depth investigation of recently published literature that prioritized AI and DeFi in their research. This research, like many prior studies, examined the articles in terms of impact, reliability, and security. In addition, a new relevance score is introduced to better comprehend the quality of the content. According to investigation, the combination of AI and DeFi is one of the trending research topics that lacks adequate interpretations of black-box methodologies. Furthermore, it was discovered that one of the primary issues in DeFi is security, and numerous technologies, including blockchain technology and machine learning approaches, have been used to minimize such challenges. We hope that the gap addressed throughout this review will give insights to future researchers and practitioners, ultimately leading to new research opportunities in AI to bridge the gap of trust between peers and make the integration of DeFi more agile in the near future.

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Architecture of Automated Crypto-Finance Agent

Cited by 2 publications

References 0 publications

Blockchain in Financial Services: Current Status, Adaptation Challenges, and Future Vision

Blockchain in Financial Services: Current Status, Adaptation Challenges, and Future Vision

Promise of AI in DeFi, a Systematic Review

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