Is Shiba Inu About to Repeat Its Bearish Playbook Again This Month?

TheNewsCryptoОпубліковано о 2025-12-26Востаннє оновлено о 2025-12-26

Анотація

Shiba Inu is on track to repeat its typical bearish December performance, declining 14.15% so far in December 2025 with only five days remaining. Historical trends show SHIB often struggles in the final month of the year, with significant losses in December 2021 (29.5%), 2022 (13.5%), and 2024 (21%). The only exception was a 24.6% gain in December 2023. To finish this month positively, SHIB would need to rally approximately 16.64% from current levels, reaching at least $0.0000084.

Shiba Inu is on track to repeat its bearish December performance as the month draws to a close. With only five days remaining in December 2025, the meme coin has declined 14.15% and shows limited signs of recovery. The pattern reinforces historical trends that have seen SHIB struggle during the year’s final month.

The fourth quarter of 2025 has proven difficult for Shiba Inu holders amid broader cryptocurrency market weakness. This downward pressure extended into December, with the token losing value consistently throughout the month. Historical data reveals December has frequently been an unfavorable period for SHIB price action.

Historical December performance shows consistent losses

December 2021 saw Shiba Inu close down 29.5% as investors took profits following the 2021 bull run. The token had achieved massive gains earlier in the year, prompting holders to exit positions during the final month.

December 2022 brought another 13.5% decline. The FTX exchange collapse in November triggered widespread panic across crypto markets, with billions wiped from total market capitalization. SHIB continued declining through December as investors reduced risk exposure.

December 2023 provided the only exception to this bearish pattern. Shiba Inu closed that month with a 24.6% gain, delivering double-digit returns that defied the historical trend. Many investors anticipated this positive performance would continue into the following year.

Instead, December 2024 reversed course with a 21% decline. Investors locked in gains after SHIB rallied to $0.000033 during the post-election surge earlier that month. Profit-taking pressure overwhelmed buying demand as the year concluded.

Current month mirrors bearish December trend

December 2025 is following the established pattern of negative performance. Shiba Inu opened the month trading at $0.000008385 and has already fallen close to 14%.

For SHIB to finish December in positive territory, the price must climb to at least $0.0000084 within the remaining five days. This would require a rally of approximately 16.64% from current levels.

Пов'язані питання

QWhat is the current performance trend of Shiba Inu in December 2025?

AShiba Inu is declining, having fallen 14.15% so far in December 2025, and is on track to repeat its historical bearish performance for the month.

QWhich previous December was the only exception to Shiba Inu's typical bearish trend?

ADecember 2023 was the only exception, as Shiba Inu closed that month with a 24.6% gain.

QWhat major event in November 2022 contributed to Shiba Inu's decline that continued into December?

AThe collapse of the FTX exchange in November 2022 triggered widespread panic across crypto markets, leading to a 13.5% decline for SHIB in December as investors reduced risk exposure.

QHow much does Shiba Inu need to rally in the remaining days to finish December 2025 in positive territory?

AShiba Inu needs to rally approximately 16.64% from its current level to reach at least $0.0000084 and finish December in positive territory.

QWhat was cited as the reason for Shiba Inu's 21% decline in December 2024?

AThe decline was due to investors locking in gains after SHIB rallied to $0.000033 during the post-election surge earlier that month, with profit-taking pressure overwhelming buying demand.

Пов'язані матеріали

$52M Ethereum Bet Comes As Tom Lee Says ETH Isn’t Reflecting Its Potential

Bitmine, holding over 5.4 million ETH worth more than $10.5 billion, is nearing its goal to control 5% of Ethereum's circulating supply. Despite the company's recent purchase of 26,497 ETH (valued at roughly $52 million), Ethereum's price has struggled, trading around $2,000 and even declining recently. Bitmine's head, Tom Lee, argues that ETH prices are not reflecting the strengthening fundamentals of the Ethereum network, attributing the lag to being in the early stages of a "crypto spring." He cites long-term trends like AI commerce and tokenization as reasons for Ethereum's enduring importance. Bitmine's strategy treats Ether as a long-term reserve asset, not a short-term trade, explaining why the massive accumulation hasn't yet triggered a corresponding price rally.

bitcoinist7 хв тому

$52M Ethereum Bet Comes As Tom Lee Says ETH Isn’t Reflecting Its Potential

bitcoinist7 хв тому

After Marvell's 32% Surge, the Chinese Chip Family Behind It Emerges

The stock price of Marvell Technology surged 32.5% on June 2nd, driven by NVIDIA CEO Jensen Huang highlighting its custom ASICs and optical interconnects as core to AI data center architecture. This event brought attention to the Chinese semiconductor family behind Marvell: the Dai siblings. The story centers on three siblings, all UC Berkeley graduates, whose three-decade entrepreneurial journey aligns with major semiconductor industry shifts. In 1995, youngest sister Dai Wei Li co-founded Marvell with her husband Sehat Sutardja and his brother, focusing on storage controllers. Eldest brother Dai Wei Min founded EDA company Ultima, later sold to Cadence, and later founded VeriSilicon (芯原) in China, becoming a leading semiconductor IP provider. Second brother Dai Wei Jin co-founded EDA firm Silicon Perspective (sold to Cadence) and GPU IP company Vivante, later acquired by VeriSilicon. The combined "Dai-Sutardja" family network extends beyond Marvell. Their ventures and investments form a comprehensive ecosystem for the post-Moore's Law, chiplet era. Key holdings include: Dream Big Semiconductor (AI SuperNICs, acquired by Arm), Alphawave (high-speed SerDes IP, acquired by Qualcomm), and Silicon Box (a chiplet advanced packaging foundry). VeriSilicon itself thrives on the AI ASIC and IP boom in China. Collectively, the family's AI infrastructure-related portfolio is estimated at over $22 billion. Their strategy represents a distinct path: building critical components for open standards and key manufacturing capacity in the chiplet era, rather than pursuing standalone AI chip dominance. While this path may not create the next NVIDIA, it has enabled repeated successful exits and sustained influence within the global semiconductor industry.

marsbit52 хв тому

After Marvell's 32% Surge, the Chinese Chip Family Behind It Emerges

marsbit52 хв тому

Microsoft is Afraid of Being Marginalized by AI Giants

Microsoft, once the defining force of the PC era, now faces a familiar challenge in the AI age: the risk of being relegated to a profitable but invisible infrastructure provider. This anxiety was laid bare at Build 2026, where CEO Satya Nadella unveiled a major strategic pivot. The catalyst was a quiet April agreement that dissolved Microsoft's exclusive licensing and cloud-hosting deal with OpenAI, its once-vital partner. This erased Microsoft's key AI moat. With OpenAI and Anthropic defining AI applications and gaining enterprise traction—even within Microsoft's own ranks—Nadella had to answer: without exclusivity, what is Microsoft's role? The answer was a suite of seven in-house AI models, a developer-focused AI workstation (Surface RTX Spark Dev Box), and, most crucially, the Agent 365 platform for enterprise AI governance. The models, notably targeting Anthropic's strengths in coding and enterprise, signal a defensive move. However, the broader strategy is to make the models themselves less decisive. Financially, Microsoft's AI revenue is strong, driven largely by Azure running others' models. Yet its user-facing products like Copilot show weak penetration and engagement. Microsoft earns infrastructure money but lacks direct user mindshare. Nadella's core fear is being "hollowed out." As OpenAI and Anthropic prepare for IPOs and gain financial independence, they may build their own infrastructure, threatening Azure's lucrative AI revenue stream. Microsoft's window is to entrench itself deeper: not as the model creator, but as the indispensable platform for securely deploying, managing, and governing all AI models within the enterprise through Agent 365. Build 2026 revealed Microsoft's bet: in the AI era, the ultimate power lies not in any single model, but in the enterprise "operating system" that controls them. Nadella is determined to ensure Microsoft is the driver of this new era, not just a passenger.

marsbit1 год тому

Microsoft is Afraid of Being Marginalized by AI Giants

marsbit1 год тому

US Stocks Surge 16% in Two Months: Only 4 Occurrences in History, the Most Recent Was Just Before the 1987 Crash

U.S. stocks have surged 16% over April and May, a gain seen only four times since WWII, according to Deutsche Bank strategist Henry Allen. Three prior instances followed recessions, but the sole non-recession precedent was in early 1987, months before the "Black Monday" crash. The current rally is underpinned by AI enthusiasm and strong data, but its speed without an economic recovery is historically unprecedented. Meanwhile, credit spreads remain near record lows despite growing consumer strain—the U.S. savings rate hit just 2.6% in April, a level last seen before the Global Financial Crisis, and consumer sentiment is at its lowest since 1952. Market risks are concentrated. While stocks and credit markets appear immune to geopolitical tensions, sovereign bonds tell a different story. Treasury yields have tracked oil prices and recently hit multi-year highs, creating a widening divergence with equities. Surprisingly stable oil prices, despite the prolonged closure of the Strait of Hormuz, have been a key pillar for risk assets. However, if the blockage persists, this support could fade, raising the risk of a stagflation shock not currently priced in.

marsbit1 год тому

US Stocks Surge 16% in Two Months: Only 4 Occurrences in History, the Most Recent Was Just Before the 1987 Crash

marsbit1 год тому

CPU, Quietly Returning to the Center of the AI Computing Power Stage

Over the past three years, AI computing power narratives have been dominated by GPUs. However, starting in 2026, this story began to shift. While training large models remains GPU-intensive, the rapid growth of inference and AI agent workloads, which require high levels of task orchestration, concurrency, and data flow management, has highlighted a renewed critical role for CPUs. These are tasks GPUs are not designed to handle. Intel's recent launch of the Xeon 6+ processor, built on its Intel 18A process and featuring up to 288 efficiency cores (E-cores), exemplifies this strategic pivot. It is positioned not as a mere companion to GPUs but as the essential "control plane" for AI infrastructure, optimized for high-density, energy-efficient, and high-throughput workloads characteristic of AI agents and inference. This "CPU resurgence" is not about CPUs outperforming GPUs in raw computation. It reflects a systemic bottleneck: as AI scales from training single models to deploying countless intelligent agents, the demand for coordination and data handling surges. Major cloud providers are also developing their own high-density ARM-based server CPUs for similar workloads. However, Intel's success with this strategy faces significant challenges. Competition includes NVIDIA's integrated CPU-GPU solutions, the expanding adoption of cloud vendors' in-house ARM CPUs, and the crucial market test of Intel's 18A manufacturing process against rivals like TSMC's N2. In conclusion, CPUs are indeed reclaiming a central, though redefined, role in AI compute—managing the complex orchestration that enables massive-scale AI deployment. While the trend is clear, which company will ultimately lead this CPU resurgence remains an open question to be decided in the data centers of 2027 and beyond.

marsbit1 год тому

CPU, Quietly Returning to the Center of the AI Computing Power Stage

marsbit1 год тому

Торгівля

Спот

Ф'ючерси