Crypto Analyst Says Dogecoin Breaking This Level Will ‘Get The Party Started’

bitcoinistPublicado a 2024-09-17Actualizado a 2024-09-17

Resumen

Dogecoin maintains its position as one of the most beloved altcoins in the crypto market, and the decline over the...

Dogecoin maintains its position as one of the most beloved altcoins in the crypto market, and the decline over the last few months has not eroded the bullish expectations for the meme coin. Analysts have continued to point out that the DOGE price is forming multiple bullish patterns on its chart and believe that the price is destined to go higher. A new prediction from crypto analyst DaanCrypto has added to the bullish expectations as the analyst forecasts a price jump.

Levels To Watch For Dogecoin

For the better part of the year 2024, the Dogecoin price has been in a downtrend and has broken below multiple trend lines. Even the $0.1 was unable to properly withstand the mounting bearish pressure and eventually succumbed in September. However, the worst may be over for the meme coin as optics are starting to look up again.

Crypto analyst DaanCrypto took to X (formerly Twitter) to inform the community that the Dogecoin price is finally breaking out of its down trend line. This down trend line has plagued the price throughout this year, but a break out of it is ultimately bullish for the DOGE price.

While this break is forming, there are multiple levels that the Dogecoin price will need to hold and also break in order to have complete confirmation. On the bottom side, the crypto analyst explains that if the cryptocurrency’s price can hold support at $0.105, then it is a good sign for the price. On the other end of the spectrum, the Dogecoin price will have to clear the resistance at $0.12 for confirmation of the uptrend.

If both the support level is held and the $0.12 is cleared, then the crypto analyst believes that this will “get the party started.” However, if the support does not hold, then it is possible that the downtrend does continue and Dogecoin could risk falling to $0.09 once again.

Overlooking A Bullish Quarter

The second and third quarters of 2024 have so far been bearish for the Dogecoin price, but with September drawing to a close, there is the possibility that the meme coin is about to enter one of the most bullish quarters of the year. So far, October has been very bullish and this year may not be any different.

According to data from the CryptoRank website, average returns for Dogecoin in the months of October is +8.59% and if this holds, then the DOGE price could be headed for above $0.12. This could carry straight through to the end of the year as the market is expected to enter another bull run.

Dogecoin price chart from Tradingview.com
DOGE price reclaims $0.1 | Source: DOGEUSDT on Tradingview.com
Featured image created with Dall.E, chart from Tradingview.com
Scott Matherson

Scott Matherson

Scott Matherson is a leading crypto writer at Bitcoinist, who possesses a sharp analytical mind and a deep understanding of the digital currency landscape. Scott has earned a reputation for delivering thought-provoking and well-researched articles that resonate with both newcomers and seasoned crypto enthusiasts. Outside of his writing, Scott is passionate about promoting crypto literacy and often works to educate the public on the potential of blockchain.

Lecturas Relacionadas

Gensyn AI: Don't Let AI Repeat the Mistakes of the Internet

In recent months, the rapid growth of the AI industry has attracted significant talent from the crypto sector. A persistent question among researchers intersecting both fields is whether blockchain can become a foundational part of AI infrastructure. While many previous AI and Crypto projects focused on application layers (like AI Agents, on-chain reasoning, data markets, and compute rentals), few achieved viable commercial models. Gensyn differentiates itself by targeting the most critical and expensive layer of AI: model training. Gensyn aims to organize globally distributed GPU resources into an open AI training network. Developers can submit training tasks, nodes provide computational power, and the network verifies results while distributing incentives. The core issue addressed is not decentralization for its own sake, but the increasing centralization of compute power among tech giants. In the era of large models, access to GPUs (like the H100) has become a decisive bottleneck, dictating the pace of AI development. Major AI companies are heavily dependent on large cloud providers for compute resources. Gensyn's approach is significant for several reasons: 1) It operates at the core infrastructure layer (model training), the most resource-intensive and technically demanding part of the AI value chain. 2) It proposes a more open, collaborative model for compute, potentially increasing resource utilization by dynamically pooling idle GPUs, similar to early cloud computing logic. 3) Its technical moat lies in solving complex challenges like verifying training results, ensuring node honesty, and maintaining reliability in a distributed environment—making it more of a deep-tech infrastructure company. 4) It targets a validated, high-growth market with genuine demand, rather than pursuing blockchain integration without purpose. Ultimately, the boundaries between Crypto and AI are blurring. AI requires global resource coordination, incentive mechanisms, and collaborative systems—areas where crypto-native solutions excel. Gensyn represents a step toward making advanced training capabilities more accessible and collaborative, moving beyond a niche controlled by a few giants. If successful, it could evolve into a fundamental piece of AI infrastructure, where the most enduring value in the AI era is often created.

marsbitHace 12 hora(s)

Gensyn AI: Don't Let AI Repeat the Mistakes of the Internet

marsbitHace 12 hora(s)

Why is China's AI Developing So Fast? The Answer Lies Inside the Labs

A US researcher's visit to China's top AI labs reveals distinct cultural and organizational factors driving China's rapid AI development. While talent, data, and compute are similar to the West, Chinese labs excel through a pragmatic, execution-focused culture: less emphasis on individual stardom and conceptual debate, and more on teamwork, engineering optimization, and mastering the full tech stack. A key advantage is the integration of young students and researchers who approach model-building with fresh perspectives and low ego, prioritizing collective progress over personal credit. This contrasts with the US culture of self-promotion and "star scientist" narratives. Chinese labs also exhibit a strong "build, don't buy" mentality, preferring to develop core capabilities—like data pipelines and environments—in-house rather than relying on external services. The ecosystem feels more collaborative than tribal, with mutual respect among labs. While government support exists, its scale is unclear, and technical decisions appear driven by labs, not state mandates. Chinese companies across sectors, from platforms to consumer tech, are building their own foundational models to control their tech destiny, reflecting a broader cultural drive for technological sovereignty. Demand for AI is emerging, with spending patterns potentially mirroring cloud infrastructure more than traditional SaaS. Despite challenges like a less mature data industry and GPU shortages, Chinese labs are propelled by vast talent, rapid iteration, and deep integration with the open-source community. The competition is evolving beyond a pure model race into a contest of organizational execution, developer ecosystems, and industrial pragmatism.

marsbitHace 14 hora(s)

Why is China's AI Developing So Fast? The Answer Lies Inside the Labs

marsbitHace 14 hora(s)

3 Years, 5 Times: The Rebirth of a Century-Old Glass Factory

Corning, a 175-year-old glass company, is experiencing a dramatic revival as a key player in AI infrastructure, driven by surging demand for high-performance optical fiber in data centers. AI data centers require vastly more fiber than traditional ones—5 to 10 times as much per rack—to handle high-speed data transmission between GPUs. This structural demand shift, coupled with supply constraints from the lengthy expansion cycle for fiber preforms, has created a significant supply-demand gap. Nvidia has invested in Corning, along with Lumentum and Coherent, in a $4.5 billion total commitment to secure the optical supply chain for AI. Corning's competitive edge lies in its expertise in producing ultra-low-loss, high-density, and bend-resistant specialty fiber, which is critical for 800G+ and future 1.6T data rates. Its deep involvement in co-packaged optics (CPO) with partners like Nvidia further solidifies its position. While not the largest fiber manufacturer globally, Corning's revenue from enterprise/data center clients now exceeds 40% of its optical communications sales, and it has secured multi-year supply agreements with major hyperscalers including Meta and Nvidia. Financially, Corning's optical communications revenue has surged, doubling from $1.3 billion in 2023 to over $3 billion in 2025. Its stock price has risen nearly 6-fold since late 2023. Key future catalysts include the rollout of Nvidia's CPO products and the scale of undisclosed customer agreements. However, risks include high current valuations and potential disruption from next-generation technologies like hollow-core fiber. The company's long-term bet on light over electricity, maintained even through the telecom bubble crash, is now being validated by the AI boom.

marsbitHace 15 hora(s)

3 Years, 5 Times: The Rebirth of a Century-Old Glass Factory

marsbitHace 15 hora(s)

Trading

Spot
Futuros
活动图片