Some Wild Data About XRP/KRW On Upbit You Should See

Cryptocurrency markets often seem chaotic, but careful analysis can uncover persistent patterns that drive price behavior and liquidity flows. XRP trading on Upbit , South Korea’s leading exchange, offers a striking example. Here, algorithmic activity, retail buying, and structural market constraints converge, producing dynamics largely invisible on global markets. Understanding these forces provides key insight into localized price anomalies and broader XRP movement. Crypto analyst Dom recently examined over 82 million trades on Upbit and 444 million trades on Binance, uncovering a continuous, large-scale selling pipeline on the XRP/KRW pair. His forensic analysis—including bot fingerprinting, wash-trade detection, and iceberg order identification—revealed that algorithmic sellers dominate the venue, operating almost around the clock and executing trades within milliseconds. 1) After analyzing 82 million trades on Upbit XRP/KRW, I found something very interesting… A $5 billion one directional selling pipeline running 24/7 for almost a year Read along — Dom (@traderview2) February 16, 2026 A Massive Algorithmic Selling Pipeline Dom’s findings show Upbit has experienced a net outflow of approximately 3.3 billion XRP over ten months, equivalent to roughly 5.4% of XRP’s circulating supply. The activity runs 24/7, largely ignoring market swings, with round-number trades such as 10, 50, 100, or 1,000 XRP executed mechanically. This persistent selling establishes a baseline pressure that consistently interacts with local market demand, shaping price trends independently of global exchanges like Binance, where selling is far less intense and sometimes net positive. Retail Behavior Shapes Market Dynamics While algorithmic systems dominate the sell side, Korean retail investors show a contrasting profile. They place fractional buy orders, often tied to KRW-denominated amounts, which accumulate steadily during positive price movements. On “moon days,” retail activity slightly outpaces selling, while on crash days, algorithmic pressure intensifies downward movement. This asymmetric behavior highlights how systematic selling and retail panic amplify price swings, especially given Upbit’s occasional premium over Binance due to local capital controls. We are on X, follow us to connect with us :- @TimesTabloid1 — TimesTabloid (@TimesTabloid1) June 15, 2025 Exchange-Specific Market Structure Comparison with Binance underscores Upbit’s unique microstructure. Correlation between XRP flows across the two venues remains low, showing that Upbit’s liquidity largely reflects domestic dynamics. The premium on KRW-denominated trades incentivizes sellers to operate locally, while retail accumulation during upward moves adds another layer of complexity to market behavior. Implications for Traders and Analysts Dom’s analysis demonstrates that structural factors often outweigh daily sentiment. Traders interpreting XRP/KRW activity must account for mechanical selling, retail accumulation, and exchange-specific pricing to avoid misreading market signals. Upbit’s case illustrates how algorithmic infrastructure, local demand, and capital constraints can define price behavior, offering a rare window into the mechanisms shaping a major digital-asset market. Understanding these dynamics equips investors to navigate localized liquidity pressures, anticipate asymmetric flows, and evaluate XRP price movements with greater precision than conventional global comparisons allow. Disclaimer : This content is meant to inform and should not be considered financial advice. The views expressed in this article may include the author’s personal opinions and do not represent Times Tabloid’s opinion. Readers are urged to do in-depth research before making any investment decisions. Any action taken by the reader is strictly at their own risk. Times Tabloid is not responsible for any financial losses. Follow us on Twitter , Facebook , Telegram , and Google News The post Some Wild Data About XRP/KRW On Upbit You Should See appeared first on Times Tabloid .