Welcome back to Scraping Bits, the podcast where we unravel the mysteries of blockchain data, uncovering the truth behind the numbers that shape the digital economy. In this episode, join your host DeGatchi as we dive into the world of non-fungible tokens (NFTs) and wash trading with our esteemed guest, Hildobby.

Hildobby, an expert in blockchain analytics and data science, takes us on a journey through the intricacies of identifying wash trading activity within the NFT market. Through heuristic analysis and advanced data visualization techniques, we explore the patterns and anomalies indicative of wash trading practices, shedding light on the magnitude of the phenomenon.

Together, we dissect the implications of wash trading for the integrity and transparency of the NFT ecosystem, discussing its impact on market dynamics, investor sentiment, and regulatory scrutiny. Hildobby shares insights into the challenges of detecting and mitigating wash trading, highlighting the role of blockchain data analysis in promoting market fairness and accountability.

Whether you're a seasoned investor, a blockchain enthusiast, or simply curious about the inner workings of the NFT market, this episode offers a comprehensive examination of wash trading and its ramifications for the broader cryptocurrency landscape.

Join us as we navigate the complexities of NFT wash trading with Hildobby, unraveling the hidden truths concealed within blockchain data and empowering listeners to make informed decisions in the dynamic world of digital assets.

Tune in to Scraping Bits by DeGatchi, and gain unparalleled insights into the world of NFTs and wash trading with our distinguished guest, Hildobby.

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Guest Speaker: https://x.com/hildobby_

Keywords: solo auditor, public auditing platforms, private audits, scalability, freedom, Scraping Bits podcast, blockchain technology, audit industry, flashbots, reverse engineering, cybersecurity, infosec, mev, mev bot, quant.

#61: Heuristically Finding 30B In NFT Wash Trading & MEV Strategies w/ Blockchain Data - Ft. Hildobby

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