Solana’s sell pressure intensifies – How deep will SOL’s pullback go?

ambcryptoPublished on 2025-12-16Last updated on 2025-12-16

Abstract

A major whale has significantly increased a 20x leveraged short position on SOL, accumulating approximately $15.9 million in floating profit. This move reflects strong conviction in further downside rather than short-term hedging. SOL continues to trade below a descending regression trend, with each rebound stalling below resistance, indicating sustained structural weakness. The RSI remains below 50, showing weak demand and no bullish divergence. Aggressive spot selling is evident, with the Spot taker metric staying negative, signaling persistent sell-side dominance. Derivatives data show a Long/Short Ratio of 0.63, with over 60% short positions, reinforcing bearish sentiment. Liquidity clusters below the current price, particularly near $120 and $100, are acting as magnets for further downward movement. In summary, SOL remains vulnerable with aligned bearish factors suggesting a retest of $120 support. If selling pressure continues, a decline toward $100 is likely, where accumulation may eventually emerge.

A major whale has increased a 20x leveraged SOL short, and is now sitting on roughly $15.9M in floating profit. This positioning reflects conviction rather than short-term hedging.

Large players usually scale leverage only when trend alignment favors continuation. Moreover, the timing matters.

The position expanded during market weakness, not after capitulation. That behavior signals expectations of further downside for Solana’s [SOL] price.

Leverage at this scale amplifies directional intent. Smaller countertrend bounces fail to threaten liquidation risk. However, this activity also shapes sentiment.

Other traders often follow whale conviction, reinforcing downside pressure. Therefore, the expanding short strengthens the bearish case instead of signaling exhaustion.

Regression trend keeps sellers firmly in control

Solana continues to trade below a clearly defined descending regression trend, confirming sustained structural weakness. Each rebound stalls beneath trend resistance, showing sellers defend rallies aggressively.

Price also prints consistent lower highs, reinforcing bearish continuation. Momentum supports this structure.

The RSI at 37 remained below the 50 midpoint and struggled to sustain any upside follow-through, signaling weak demand.

Importantly, the RSI showed no bullish divergence, removing early reversal signals. However, momentum had not reached capitulation. That setup keeps downside risk active.

As price respects the regression trend, SOL could drift toward the $120 support zone before any recovery attempt. If selling pressure persists, deeper downside toward $100 becomes increasingly likely.

Spot selling pressure overwhelms demand

SOL’s Spot taker CVD stayed firmly negative across the 90-day view, confirming aggressive market selling. Sellers continued to hit bids directly, forcing the price lower.

This behavior matters more than raw volume. Notably, a sustained negative CVD signals distribution rather than panic. Panic often exhausts quickly, but this pressure persisted.

However, brief pauses in selling occasionally trigger shallow bounces. Those moves fail to flip CVD positive, limiting upside follow-through. Therefore, rallies remain corrective.

As long as taker sell dominance continues, SOL risks revisiting $120, where buyers may attempt initial absorption. Failure there opens the path toward $100 before meaningful demand returns.

Short positioning crowds derivatives markets

Derivatives data showed shorts firmly in control, with the SOL Long/Short Ratio hovering near 0.63. Short positions exceeded 60%, highlighting one-sided bearish conviction.

Traders were increasingly positioning for continuation rather than reversal. However, crowded shorts sometimes invite volatility spikes.

Yet, the current structure limited SOL’s squeeze risk. The price remained capped by trend resistance, restricting upside acceleration. Additionally, funding conditions continued to favor short exposure.

Therefore, derivatives flows reinforced the downside momentum. As long as this imbalance persists, SOL remains vulnerable to a push toward $120.

A sustained break below that level would expose $100, where forced deleveraging could meet opportunistic accumulation.

Liquidity clusters pull price downward

The liquidation heatmap revealed dense downside liquidity pools below current price. These zones often act as magnets during trending markets. When price approaches them, volatility usually expands.

Sellers frequently drive price into these areas to trigger forced liquidations. Meanwhile, upside liquidity remains thinner, reducing incentives for sharp rallies.

However, consolidation above liquidity pockets often precedes expansion. Given current momentum, that expansion favors downside.

Therefore, price action could gravitate toward liquidity near $120 first. If pressure intensifies, deeper liquidity near $100 could come into play, where longer-term accumulation interest may begin forming.

In summation, Solana remains structurally weak as whale leverage, trend resistance, sell-side dominance, bearish positioning, and downside liquidity align.

The price could retest support near $120 before any meaningful recovery attempt develops.

However, if bearish momentum persists and sellers maintain control, SOL risks extending losses toward $100, where accumulation may finally begin to absorb sustained selling pressure.


Final Thoughts

  • Whale leverage, bearish structure, and sell-side dominance keep SOL exposed to a $120 retest before recovery attempts.
  • If momentum fails to stabilize at $120, downside liquidity near $100 could attract both forced selling and accumulation.

Related Reads

55TB to 28TB? The Rumor and Panic Behind Rubin's Memory Being Halved

Title: 55TB to 28TB? The Rumor and Panic Behind the Potential Halving of Rubin's Memory. On June 4th, a report from SemiAnalysis suggested NVIDIA's next-gen Vera Rubin NVL72 AI rack may ship with roughly 28TB of SOCAMM DRAM per rack instead of the anticipated 55TB, primarily using 96GB modules. This sparked a market panic, causing Micron's stock to drop over 10% on fears of halved memory demand. However, the article argues this panic is misguided for several key reasons. First, SOCAMM modules are socketed and upgradeable, not soldered. Lower initial configuration doesn't mean permanent demand loss. Second, the primary driver is a severe 2026 LPDDR5X supply shortage, not diminished need. NVIDIA is likely prioritizing rack shipments with available components. Third, with fixed total LPDDR5X supply, using less per rack could allow NVIDIA to ship *more* racks, not necessarily reducing overall memory orders. Micron's sharp drop was also attributed to a broader semiconductor sell-off triggered by Broadcom's earnings, with the SemiAnalysis report providing a convenient narrative for profit-taking after Micron's massive rally. In summary: the report on lower default configurations is likely accurate, but interpreting it as a demand collapse is wrong. The real risk for Micron lies in its reportedly minimal HBM4 share for Rubin, not in potentially flexible SOCAMM demand. The sell-off appears more like a correction amplified by coinciding negative catalysts.

marsbit20m ago

55TB to 28TB? The Rumor and Panic Behind Rubin's Memory Being Halved

marsbit20m ago

Exclusive from Yingke | Tang Wenbin's 'Yuanli Lingji' Merges with Logistics Robotics Company, and Secures Investment from Zhipu, SenseTime, Jieyue, and Others

Exclusive report: Embodied AI company "Yuanli Lingji" recently completed a new round of financing from major AI model firms including Zhipu AI, Stepfun, and SenseTime, alongside continued investments from industrial backers like Huaqin and SAIC Hengxu. Founded in March 2025 by Tang Wenbin, former co-founder and CTO of Megvii, Yuanli Lingji is a general-purpose embodied AI model company. In a notable move, the company has merged with logistics robotics firm "Atomix" (formerly known as Yuanli Juhe) through a share acquisition. Atomix, which originated from Megvii's logistics robotics business led by Tang in 2016 and was spun off in July 2024, has grown to become the world's second-largest supplier of pallet shuttle robots, with annual revenue nearing 1 billion RMB and over 500 projects globally for clients like Uniqlo and CATL. This merger aims to break the industry's "data deadlock" by combining Atomix's extensive real-world operational data from more than 20 countries with Yuanli Lingji's model training capabilities. The company's embodied AI model "DM0" utilizes a cross-domain training approach, integrating internet semantics, autonomous driving rules, and robotics data to achieve hardware-agnostic, precise manipulation even with a compact 2.4B parameter size. The collective investment from key AI players and the strategic merger signal a shift in the competitive landscape, as major model companies pivot from language tokens to physical actions ("from Token to Action"). The industry is entering a consolidation phase where hardware, AI models, data, and application scenarios converge to scale embodied intelligence, a trend mirrored by recent moves from giants like ByteDance and Skild AI.

marsbit27m ago

Exclusive from Yingke | Tang Wenbin's 'Yuanli Lingji' Merges with Logistics Robotics Company, and Secures Investment from Zhipu, SenseTime, Jieyue, and Others

marsbit27m ago

U.S. Stock Market Trends: Dow Hits New High, Nasdaq Falls, Whom Did Broadcom's Slap Wake Up?

U.S. Stocks Split: Dow Hits Record High as Nasdaq Slips; Broadcom's Plunge Sparks Rotation On June 4, the U.S. stock market saw a sharp divergence. The Dow Jones surged 875 points (+1.73%) to a record high of 51,561.93, while the Nasdaq Composite edged down 0.09%. The S&P 500 rose 0.41%. The primary catalyst was a sharp sell-off in AI-related chip stocks, led by Broadcom (AVGO). Despite reporting a 143% year-over-year jump in AI semiconductor revenue to $10.8 billion, the company's shares plunged about 14%. This was triggered by its maintained long-term AI revenue target, which failed to meet heightened expectations for a stock that had gained 55% this quarter and traded at a high P/E ratio. The slide dragged down the broader semiconductor sector and the technology板块. Conversely, money rotated into sectors like Healthcare (+3.14%), Financials (+2.67%), and Real Estate (+1.87%). UnitedHealth and Goldman Sachs were major contributors to the Dow's gains. The rotation was attributed to a search for value outside overheated tech names and a slight dip in Treasury yields. In other major news, SpaceX confirmed its IPO for June 12, targeting a record $75 billion raise at a ~$1.75 trillion valuation. Additionally, initial jobless claims rose to a four-month high, adding nuance to the labor market narrative ahead of the key May non-farm payrolls report. The day's action signaled that while the AI growth story remains intact, excessive valuations are prompting a market reassessment. Funds are moving, at least temporarily, from high-flying tech to more defensive and value-oriented sectors. The sustainability of this rotation hinges on upcoming economic data, particularly the jobs report, and the market's absorption of the massive SpaceX IPO.

marsbit30m ago

U.S. Stock Market Trends: Dow Hits New High, Nasdaq Falls, Whom Did Broadcom's Slap Wake Up?

marsbit30m ago

From 'Old Dogs' to 'New Darlings': How AI is Revaluing Old Infrastructure, from Dell to Nokia

"Old Dogs" Become AI's New Darlings: Revaluing Legacy Infrastructure The AI investment narrative is shifting. Beyond the spotlight on core chipmakers like Nvidia, a new wave of interest is rising for legacy tech companies—Dell, HPE, Nokia, Cisco, Corning, Western Digital—once labeled as slow-growth, outdated stories. This resurgence stems from AI's evolution from model development to real-world deployment, creating massive demand for physical infrastructure. As AI moves into data center construction and enterprise adoption, the focus turns to who can actually build and deliver complex systems. These established players hold decades of experience in supply chains, integration, networking, and enterprise delivery—assets now critical for scaling AI. The revaluation can be grouped into three key infrastructure areas: 1. **Servers & Integration (e.g., Dell, HPE):** They are becoming essential system integrators, transforming GPUs into full-scale AI servers with networking, power, and cooling, then delivering them to clients. Strong recent earnings and AI-specific revenue/order growth for Dell and HPE underscore this shift. 2. **Networking & Connectivity (e.g., Corning, Nokia, Cisco):** As AI clusters grow, high-speed data transfer becomes paramount. Corning benefits from fiber demand for data center links, Nokia is exploring AI-integrated wireless networks (AI-RAN), and Cisco sees surging orders for data center switches—all critical for efficient AI operations. 3. **Storage (e.g., Western Digital, Seagate):** The AI data explosion requires vast capacity. Beyond high-speed memory (HBM), there's growing need for high-capacity HDDs to store training data, logs, video, and cold/archival data cost-effectively. This revaluation, however, is not a blanket endorsement. True reassessment requires concrete proof: AI-driven orders and revenue growth, upward revisions to company guidance, and sustainable improvements in profit quality, not just top-line sales. In essence, AI is not turning all old tech firms into high-growth stocks; it is selectively re-pricing the "old assets" of companies that are mission-critical for building the new AI infrastructure, transforming their legacy capabilities into renewed growth engines.

marsbit39m ago

From 'Old Dogs' to 'New Darlings': How AI is Revaluing Old Infrastructure, from Dell to Nokia

marsbit39m ago

Trading

Spot
Futures

Hot Articles

Discussions

Welcome to the HTX Community. Here, you can stay informed about the latest platform developments and gain access to professional market insights. Users' opinions on the price of S (S) are presented below.

活动图片