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Related papers: Can AI Detect Wash Trading? Evidence from NFTs

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Wash trading is a form of market manipulation where the same entity sells an asset to themselves to drive up market prices, launder money under the cover of a legitimate transaction, or claim a tax loss without losing ownership of an asset.…

General Finance · Quantitative Finance 2023-05-03 Derek Liu , Francesco Piccoli , Katie Chen , Adrina Tang , Victor Fang

NFTs (Non-Fungible Tokens) have seen significant growth since they first captured public attention in 2021. However, the NFT market is plagued by fake transactions and economic bubbles, e.g., NFT wash trading. Wash trading typically refers…

Cryptography and Security · Computer Science 2024-07-23 Shijian Chen , Jiachi Chen , Jiangshan Yu , Xiapu Luo , Yanlin Wang

As emerging digital assets, NFTs are susceptible to anomalous trading behaviors due to the lack of stringent regulatory mechanisms, potentially causing economic losses. In this paper, we conduct the first systematic analysis of four…

Cryptography and Security · Computer Science 2024-03-18 Yuanzheng Niu , Xiaoqi Li , Hongli Peng , Wenkai Li

We introduce systematic tests exploiting robust statistical and behavioral patterns in trading to detect fake transactions on 29 cryptocurrency exchanges. Regulated exchanges feature patterns consistently observed in financial markets and…

General Economics · Economics 2021-08-26 Lin William Cong , Xi Li , Ke Tang , Yang Yang

The smart contract-based markets for non-fungible tokens (NFTs) on the Ethereum blockchain have seen tremendous growth in 2021, with trading volumes peaking at 3.5b in September 2021. This dramatic surge has led to industry observers…

Cryptography and Security · Computer Science 2022-02-09 Victor von Wachter , Johannes Rude Jensen , Ferdinand Regner , Omri Ross

Wash trading in decentralized markets remains a significant concern magnified by the pseudonymous and public nature of blockchains. In this paper we introduce an innovative methodology designed to detect wash trading activities beyond…

Computational Engineering, Finance, and Science · Computer Science 2023-12-29 Aleksandar Tošić , Niki Hrovatin , Jernej Vičič

The Non-Fungible Token (NFT) market in the Ethereum blockchain experienced explosive growth in 2021, with a monthly trade volume reaching \$6 billion in January 2022. However, concerns have emerged about possible wash trading, a form of…

Computers and Society · Computer Science 2024-09-04 Massimo La Morgia , Alessandro Mei , Alberto Maria Mongardini , Eugenio Nerio Nemmi

The Non-Fungible-Token (NFT) market has experienced explosive growth in recent years. According to DappRadar, the total transaction volume on OpenSea, the largest NFT marketplace, reached 34.7 billion dollars in February 2023. However, the…

Trading and Market Microstructure · Quantitative Finance 2023-08-04 Mingxiao Song , Yunsong Liu , Agam Shah , Sudheer Chava

With the growing popularity of Non-Fungible Tokens (NFT), a new type of digital assets, various fraudulent activities have appeared in NFT markets. Among them, wash trading has become one of the most common frauds in NFT markets, which…

Human-Computer Interaction · Computer Science 2023-02-14 Xiaolin Wen , Yong Wang , Xuanwu Yue , Feida Zhu , Min Zhu

Non Fungible Tokens (NFTs) are digital assets that represent objects like art, collectible, and in-game items. They are traded online, often with cryptocurrency, and are generally encoded within smart contracts on a blockchain. Public…

Statistical Finance · Quantitative Finance 2021-11-02 Matthieu Nadini , Laura Alessandretti , Flavio Di Giacinto , Mauro Martino , Luca Maria Aiello , Andrea Baronchelli

Cryptoassets such as cryptocurrencies and tokens are increasingly traded on decentralized exchanges. The advantage for users is that the funds are not in custody of a centralized external entity. However, these exchanges are prone to…

Cryptography and Security · Computer Science 2021-02-16 Friedhelm Victor , Andrea Marie Weintraud

Machine learning and AI-assisted trading have attracted growing interest for the past few years. Here, we use this approach to test the hypothesis that the inefficiency of the cryptocurrency market can be exploited to generate abnormal…

Physics and Society · Physics 2019-04-09 Laura Alessandretti , Abeer ElBahrawy , Luca Maria Aiello , Andrea Baronchelli

NFT (Non-fungible Token) has drastically increased in its size, accounting for over \$16.9B of total market capitalization. Despite the rapid growth of NFTs, this market has not been examined thoroughly from a financial perspective. In this…

Statistical Finance · Quantitative Finance 2023-03-17 Na Hyeon Park , Hanna Kim , Chanhee Lee , Changhoon Yoon , Seunghyeon Lee , Youngjin jin , Seungwon Shin

Algorithmic trading is well studied in traditional financial markets. However, it has received less attention in centralized cryptocurrency exchanges. The Commodity Futures Trading Commission (CFTC) attributed the $2010$ flash crash, one of…

Trading and Market Microstructure · Quantitative Finance 2020-02-28 Paz Grimberg , Tobias Lauinger , Damon McCoy

The Artificial Intelligence paradigm (hereinafter referred to as "AI") builds on the analysis of data able, among other things, to snap pictures of the individuals' behaviors and preferences. Such data represent the most valuable currency…

General Economics · Economics 2019-04-30 Otello Ardovino , Jacopo Arpetti , Marco Delmastro

Bitcoin is firmly becoming a mainstream asset in our global society. Its highly volatile nature has traders and speculators flooding into the market to take advantage of its significant price swings in the hope of making money. This work…

Machine Learning · Computer Science 2021-10-29 Nathan Crone , Eoin Brophy , Tomas Ward

Non-fungible tokens (NFTs) serve as a representative form of digital asset ownership and have attracted numerous investors, creators, and tech enthusiasts in recent years. However, related fraud activities, especially phishing scams, have…

Cryptography and Security · Computer Science 2025-12-02 Wenkai Li , Zongwei Li , Xiaoqi Li , Chunyi Zhang , Xiaoyan Zhang , Yuqing Zhang

AI and data driven solutions have been applied to different fields and achieved outperforming and promising results. In this research work we apply k-Nearest Neighbours, eXtreme Gradient Boosting and Random Forest classifiers for detecting…

Trading and Market Microstructure · Quantitative Finance 2022-06-14 Mohsen Asgari , Hossein Khasteh

Non Fungible Token (NFT) Industry has been witnessing multi-million dollar trade in recent times. With rapid innovation of the NFT market environment by technology, innovation, and decentralization, it is becoming hard to distinguish…

General Finance · Quantitative Finance 2022-01-19 Mayukh Mukhopadhyay , Kaushik Ghosh

Thanks to the high potential for profit, trading has become increasingly attractive to investors as the cryptocurrency and stock markets rapidly expand. However, because financial markets are intricate and dynamic, accurately predicting…

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