Dogecoin dips, conviction holds – Are LTHs about to be rewarded?

ambcryptoОпубликовано 2025-10-14Обновлено 2025-10-14

Key Takeaways

Are Dogecoin holders losing confidence after the memecoin crash?

No. Short-term holders are buying the dip!

Is Dogecoin currently undervalued?

Yes, data points to DOGE being in an accumulation zone, not an overheated market.


Dogecoin [DOGE] holders aren’t backing down just yet.

Despite last week’s memecoin meltdown, short-term holders (STHs) bought the dip. Confidence in DOGE stayed intact, and a larger move could form if buying pressure continues to build.

Memecoins take a beating

It’s been a rough week for the memecoin market.

Dogecoin, Shiba Inu [SHIB], and Pepe [PEPE] all slid more than 20%, wiping billions off their combined market value. Even newer names like Bonk [BONK] and Floki [FLOKI] couldn’t dodge the sell-off, as traders trimmed risk during broader weakness.

The drop is proof of how volatile the sector remains.

dogecoin

Source: CoinMarketCap

Still, with prices now hovering near local lows, dip-buying activity from STHs was proof that some investors may already be eyeing this pullback as a potential entry point.

Calmer phase for DOGE

At the time of writing, Dogecoin appeared to be stabilizing above key long-term support levels.

Source: Alphractal

On top of that, the Cumulative Value Days Destroyed (CVDD) chart showed DOGE holding above its long-term value floor (yellow band), similar to periods that preceded past rallies.

Source: Alphractal

Meanwhile, the Reserve Risk Indicator stayed within the green accumulation zone, implying holder conviction remained high while market confidence had not overheated.

That alignment suggested the market entered a calmer accumulation phase rather than a speculative top.

In short, while Dogecoin’s price action stayed muted, on-chain data supported a recovery setup.

Is DOGE undervalued?

Dogecoin’s MVRV Z-Score (a metric that gauges when price deviates from its fair value) hovered near historic lows at press time, similar to levels seen before previous bull runs.

Source: Alphractal

Each time the MVRV spiked sharply (as seen in 2017 and 2021), it marked a major market top, while deep dips below zero often came before strong rebounds. The latest reading proved that DOGE remained in an undervalued zone, with little speculation left in the market.

If history repeats, this would help kickstart Dogecoin’s next major upswing.

Share

Похожее

Investment Philosophy of Gavin Baker, an Early Nvidia Investor: Long AI Infrastructure Bottlenecks, Short Overall Market Risk

Gavin Baker, an early investor in Nvidia and founder of Atreides Management, outlines his investment philosophy: going long on AI infrastructure bottlenecks while hedging against broader market risk. He argues AI is not a bubble but a supercycle driven by constraints in power, wafers (semiconductors), and compute efficiency (tokens per watt). True alpha, he believes, lies not in application-layer companies like OpenAI but in "picks and shovels" providers—companies solving physical bottlenecks in GPU connectivity (e.g., Astera Labs), memory (Micron), inference chips (Cerebras, Positron), advanced manufacturing (TSMC, ASML), and energy supply. His portfolio reflects this barbell strategy: concentrated bets on key infrastructure players alongside a significant put position on the QQQ ETF to hedge overall market downside. Baker contends this cycle differs from the dot-com bubble because demand is fueled by the strong balance sheets of hyperscalers (Google, Meta, Amazon, Microsoft), not debt, and physical supply constraints (e.g., chip manufacturing capacity) prevent runaway overinvestment. He highlights the growing importance of inference (vs. pre-training), vertical/small language models, sovereign infrastructure deployment speed, and the convergence of energy and space (e.g., orbital compute). His long-term view is that performance-per-watt and token cost reduction will dictate winners as AI scaling hits fundamental physical limits.

marsbit29 мин. назад

Investment Philosophy of Gavin Baker, an Early Nvidia Investor: Long AI Infrastructure Bottlenecks, Short Overall Market Risk

marsbit29 мин. назад

Apple Re-invented Image Compression with AI: Same Quality, One-Third the File Size

Apple’s PICO: An AI-Powered Image Codec That Cuts File Size by Two-Thirds at Equal Perceived Quality In 2025, JPEG AI became the first international standard for learned image compression. However, it, like most codecs, still prioritizes mathematical metrics like PSNR over true perceptual quality—what the human eye finds pleasing. Apple researchers have introduced PICO (Perceptual Image Codec), a neural codec designed to optimize for human perception. It tackles key practical challenges: 1) Speed: A novel "one-shot context model" accelerates entropy encoding without sacrificing compression efficiency. 2) Artifacts: A dedicated TextFidelity loss preserves text clarity, and a TilingArtifact loss eliminates color seams between image tiles processed in parallel. 3) Control: It avoids the "hallucinations" common in GAN-based perceptual models. In a large-scale human evaluation (74,925 comparisons), PICO achieved the same perceived quality as standards like AV1, VVC, and JPEG AI while using only 30-43% of the bitrate. It also outperforms other learned perceptual codecs by 20-40%. Remarkably, it runs in 230ms (encode) and 150ms (decode) on an iPhone 17 Pro Max. While less efficient on synthetic graphics, PICO represents a significant shift from optimizing mathematical scores to directly targeting human visual experience, making high-quality perceptual compression practical for consumer devices. The work builds on expertise from WaveOne, whose team joined Apple and previously advanced neural video compression.

marsbit1 ч. назад

Apple Re-invented Image Compression with AI: Same Quality, One-Third the File Size

marsbit1 ч. назад

Shanghai's Leading Large Model Company Initiates A-Share Listing

Shanghai-based AI large language model leader MiniMax has initiated the process for an A-share listing in China, having filed a pre-IPO tutoring report with the Shanghai Securities Regulatory Bureau on May 29. This move positions it to compete with Zhipu AI for the title of the first major domestic LLM company to list on the A-share market. Having already completed an IPO in Hong Kong in January 2026, MiniMax's stock price has surged approximately 409% since its debut, with its market capitalization reaching around HK$263.45 billion (approximately RMB 227.55 billion) as of May 29. The company's rapid growth is supported by strong business performance. Its Annual Recurring Revenue (ARR) has grown over 100% in the past two months and now exceeds $300 million. It serves over one million global enterprise and developer clients and has around 300 million users worldwide. For the full year 2025, MiniMax reported revenue of $79.038 million, with a gross margin of 25.4%. While it reported an adjusted net loss of $250 million, the loss rate has narrowed significantly year-over-year. On the product front, MiniMax has released several flagship models this year, including MiniMax-M2.5, M2.6, and M2.7, with the first and last being open-sourced. Its models gained significant traction earlier in the year, briefly becoming the top model provider by usage share on the OpenRouter platform in February. The company has also upgraded its AI agent product, now named Mavis, and is preparing to launch its next-generation MiniMax-M3 model. Technical previews indicate M3 will feature a novel "MiniMax Sparse Attention" mechanism, promising substantial improvements in inference speed. MiniMax's push for an A-share listing reflects a broader trend among China's leading AI firms, including Zhipu AI, Moonshot AI, StepFun, and 01.AI, to seek public listings. This strategy aims to secure broader financing channels to support the immense computational costs and ongoing commercialization efforts inherent in developing advanced large language models.

marsbit1 ч. назад

Shanghai's Leading Large Model Company Initiates A-Share Listing

marsbit1 ч. назад

Торговля

Спот
Фьючерсы
活动图片