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Violent Bitcoin Crash Cries “Multi-Billion Dollar Manipulation” On-Chain Data Catches Market Maker Dumping

December 30, 2025
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Violent Bitcoin Crash Cries “Multi-Billion Dollar Manipulation” On-Chain Data Catches Market Maker Dumping
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Market Analysis of Bitcoin’s Price Dynamics: December 29, 2023

In a notable episode within the cryptocurrency market, Bitcoin (BTC) exhibited a pronounced volatility pattern over the past 24 hours, culminating in a temporary breach of the $90,000 threshold during the early hours of December 29. However, this surge was ephemeral, as BTC relinquished its gains within a mere 12-hour timeframe. Such rapid fluctuations in price evoke scrutiny and speculation regarding the underlying market mechanics and the potential influences at play.

Market Sentiment and Reactions

Market participants demonstrated a mix of skepticism and amusement regarding BTC’s erratic movements. Prominent traders, such as TedPillows, utilized social media platforms to express their sentiments through the deployment of clown emojis alongside graphical representations of recurring price peaks and troughs. Additionally, CryptoSeth articulated a critical viewpoint by characterizing the observed behavior as indicative of a “fraud commodity,” referencing a repetitive sawtooth pattern manifesting over thirty instances.

Bitcoin V-shaped crashes (Source: TedPillows)

Furthermore, Wimar X attributed responsibility for the observed price behavior to major players such as Binance and Wintermute, alleging “multi-billion dollar manipulation” discernible through on-chain analysis. Notably, the on-chain transfers involving Wintermute were reported to be significantly lower than suggested, totaling less than $30 million. This discrepancy raises critical questions not only regarding the validity of such accusations but also about the inherent fragility of a market characterized by excessive leverage.

Deciphering Market Microstructure

A closer examination of Bitcoin’s microstructure reveals a compelling narrative. Analyzing Binance’s cumulative volume delta (CVD)—the difference between buy-aggressor and sell-aggressor volumes accumulated over time—illustrates a distinct pattern: an initial sharp increase attributable to aggressive buying followed by an equally pronounced downturn driven by selling pressure. The net effect resulted in price levels that remained largely unchanged, with CVD reflecting minimal fluctuations throughout this period.

This sequence is emblematic of a classic trading strategy characterized by “push through the book,” wherein traders exploit stop-loss orders and late momentum before reversing positions. Such activities do not indicate sustained trend-building confidence; rather, they suggest rapid oscillations conducive to short-term profitability for those adept at capitalizing on both upward and downward movements.

Binance's CVD during the stop-hunt episode
Bitcoin’s price and Binance cumulative volume delta over 24 hours on Dec. 29, showing aggressive buying drove the rally before aggressive selling reversed it.

This phenomenon is not isolated; similar V-shaped spikes and retracements have been observed across various trading platforms such as Bitstamp and Bybit throughout December. The consistency across different exchanges suggests an overarching market environment that is conducive to the very behaviors being criticized by traders—indicative of a structurally weak and overleveraged market susceptible to manipulation.

Multiple Bitcoin whipsaws since late November on Bybit
Bitcoin perpetual futures on Bybit showing repeated V-shaped price spikes throughout December, with 11 different instances within one month. Image: thedefivillain/X

Evidence of Stop-Hunting Behavior

The prevailing market conditions exhibit characteristics consistent with classic stop-hunting strategies, particularly during periods of reduced liquidity associated with holiday trading environments. Data from CoinGecko indicates that Binance consistently maintained trading volumes below $10 billion, while several other major exchanges failed to achieve even $1 billion in volume recently. Such thin liquidity enhances the susceptibility of the market to manipulation.

Moreover, Coinglass data reveals negligible changes in open interest across various timeframes—0.08%, -0.67%, and 0.03% over one hour, four hours, and 24 hours respectively—suggesting that liquidations during this period were relatively balanced between long and short positions rather than indicative of massive one-sided wipeouts typically associated with crowded trades.

Overall Bitcoin liquidations in the past 1H, 4H, and 24H timeframes
Bitcoin liquidations over one-hour, four-hour, and 24-hour windows, showing roughly balanced long and short positions totaling under $160 million each.

The correlation between Bitcoin prices across various trading venues further substantiates that these movements were not confined to isolated order books but were reflective of broader market dynamics. On-chain data revealed significant shifts in custody patterns without clarifying trade motivations or individual wallet profit-and-loss trajectories.

The evidence collectively suggests opportunistic profit-seeking behavior within thin order books. The dynamic where aggressive buying propels Bitcoin prices upward sharply followed by an equally aggressive selling pressure reverting those gains underscores a market environment ripe for exploitation by well-capitalized traders seeking short-term profits.

In conclusion, while definitive proof of orchestrated manipulation remains elusive—lacking identification of specific perpetrators or clear intent—the observable data indicates structural vulnerabilities within the market that facilitate stop-hunting activities. Traders’ accusations appear plausible when contextualized within these patterns, suggesting that certain entities are leveraging these vulnerabilities for strategic advantage.

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