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$XRP 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.

💥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.
💥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.

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