Dogecoin And Shiba Inu May Be Gearing Up For Another Rally After This Happened

bitcoinistPublicado em 2026-03-20Última atualização em 2026-03-20

Resumo

US financial regulators (SEC and CFTC) have jointly issued guidance classifying digital assets, explicitly naming Dogecoin and Shiba Inu as digital commodities — the same category as Bitcoin and Ethereum. This removes them from being considered securities, providing regulatory clarity. The classification means DOGE and SHIB are now viewed as assets deriving value from blockchain ecosystems and market dynamics, not as investment contracts. While the immediate market reaction was muted, this status could pave the way for potential Spot ETFs, similar to Bitcoin. Grayscale has already indicated SHIB qualifies for a spot ETF under current standards.

US financial regulators have issued a clarification on how federal securities laws apply to crypto assets, and Dogecoin and Shiba Inu are among the direct beneficiaries. The joint guidance, which was published by the SEC and CFTC, formally established five categories for digital assets and explicitly named both meme coins as digital commodities, placing them in the same regulatory class as Bitcoin, Ethereum, and XRP.

Dogecoin And Shiba Inu Officially Classified As Digital Commodities

An interesting decision from US regulators is now setting the stage for a possible turnaround in the price of meme coins like Dogecoin and Shiba Inu. For the first time ever, this clarification directly names the leading names of meme cryptocurrencies (Dogecoin and Shiba Inu) as digital commodities, removing them from the security debate that has weighed on the crypto industry for years.

The joint interpretive release by the SEC and the CFTC finally ended more than a decade of jurisdictional dispute between the two US regulators over how to classify digital assets. According to the release, crypto assets are now divided into five categories: digital commodities, digital collectibles, digital tools, stablecoins, and digital securities.

The first four carry no securities designation by default, while digital securities, which are essentially tokenized versions of traditional financial instruments such as stocks and bonds, are still subject to federal securities laws.

On the other hand, digital commodities are assets whose value derives from a functioning blockchain ecosystem and supply-and-demand dynamics, with decentralization also an important criterion. Both Dogecoin and Shiba Inu were placed in this category alongside Bitcoin, Ethereum, XRP, and Cardano, among others.

SEC Chair Paul Atkins stated that the guidance was designed to provide regulatory clarity “in clear terms” and confirmed that blockchain network activities such as mining, on-chain staking, and protocol airdrops do not automatically qualify as securities offerings.

What The Classification Means For DOGE And SHIB Specifically

The market’s reaction so far has been somewhat muted. Price data show that crypto prices did not surge immediately even after the guidance was released. However, the importance of being classified as a commodity cannot be overstated for Dogecoin and Shiba Inu, considering the fact that these two started as a meme. A February 2025 clarification from the SEC’s Division of Corporation Finance had indicated that meme coins were not securities, but that guidance stopped short of a formal classification.

Both Dogecoin and Shiba Inu have spent recent months moving sideways or struggling to break above resistance levels in terms of price action. However, this might change very soon. Commodity status equates Dogecoin and Shiba Inu with the same regulations backing Bitcoin and Ethereum Spot ETFs in the United States. Spot Dogecoin ETFs are already live and Shiba Inu might be next. Interestingly, Grayscale Investments has already indicated that SHIB qualifies for a spot ETF under the SEC’s Generic Listing Standards framework.

DOGE price stages another recovery attempt | Source: DOGEUSDT on Tradingview.com

Perguntas relacionadas

QWhat are the five categories of digital assets established by the joint guidance from the SEC and CFTC?

AThe five categories are digital commodities, digital collectibles, digital tools, stablecoins, and digital securities.

QWhich meme coins were explicitly named as digital commodities in the regulatory clarification?

ADogecoin and Shiba Inu were explicitly named as digital commodities.

QWhat is the significance of being classified as a digital commodity for assets like Dogecoin and Shiba Inu?

ABeing classified as a digital commodity removes them from the securities debate, places them in the same regulatory class as Bitcoin and Ethereum, and opens the door for potential products like spot ETFs.

QAccording to the guidance, do activities like mining and airdrops automatically qualify as securities offerings?

ANo, the guidance confirms that blockchain network activities such as mining, on-chain staking, and protocol airdrops do not automatically qualify as securities offerings.

QWhich investment firm has indicated that Shiba Inu qualifies for a spot ETF under the SEC's framework?

AGrayscale Investments has indicated that SHIB qualifies for a spot ETF under the SEC’s Generic Listing Standards framework.

Leituras Relacionadas

Annual Salary of Millions Competing for Electricians, Meta Rushes to Open Its Own Technical School

The AI boom is facing an unexpected bottleneck: a severe shortage of skilled construction workers and electricians. As tech giants like Meta, OpenAI, and Alphabet race to build massive data centers—such as OpenAI's $16 billion "Stargate" project—they are hitting a critical labor wall. The U.S. needs an estimated 130,000 more electricians, 240,000 construction workers, and 150,000 supervisors by 2030 for AI infrastructure alone, but tens of thousands of electrician jobs go unfilled each year. While AI companies offer high premiums, with electricians earning up to $280,000 annually, worker scarcity still causes massive losses—delays on a single project can cost $14.2 million per month. The complexity of building AI data centers, which require immense power (equivalent to powering hundreds of thousands of homes), sophisticated electrical systems, and advanced liquid cooling solutions, demands highly skilled technicians who are in short supply. To combat this, companies are investing heavily in training. Meta has committed $115 million to a free training school offering tuition, housing, and stipends, targeting 5,000 new workers. OpenAI is partnering with unions to secure skilled labor. These efforts are paying off, with a significant rise in Gen Z interest in trade schools over college. However, the power demands are staggering. AI data centers are driving a rapid surge in electricity consumption, projected to account for up to 12% of U.S. power use by 2028 and raising costs for consumers. Furthermore, the construction boom is project-based, leading to a potential future glut of trained workers once building peaks, which could depress wages industry-wide. The race for AI supremacy now depends as much on skilled hands as on advanced chips.

marsbitHá 57m

Annual Salary of Millions Competing for Electricians, Meta Rushes to Open Its Own Technical School

marsbitHá 57m

OpenAI No Longer Sells Its Most Expensive Model for Profit

OpenAI is shifting its business strategy away from promoting its most expensive, flagship models for every task. Recent price cuts—80% for GPT-5.6 Luna and 20% for Terra—signal a deeper change: the company now actively advises users that many tasks don't require the most powerful model. Instead, OpenAI recommends a tiered approach: use the high-end GPT-5.6 Sol for complex planning and analysis, then delegate execution to cheaper models like Luna. This mirrors moves by Anthropic, which recently launched Claude Opus 5 at half the price of its top model, Fable 5. Both companies are de-emphasizing flagship models as primary revenue drivers, using them instead for brand prestige and technological showcases. The industry is entering a "mass-market" phase, similar to automotive, where high-volume, cost-effective models handle daily operations and drive scale. OpenAI's price reductions are partly enabled by AI models themselves optimizing underlying code and infrastructure, creating a self-reinforcing cycle of efficiency gains and cost reduction. Competition is shifting from "who is smartest" to "who offers the best value." The goal is no longer selling individual models but fostering widespread API adoption and ecosystem lock-in. By making AI calls cheap and ubiquitous, companies like OpenAI aim to become the indispensable, utility-like infrastructure powering automated workflows—the "water and electricity" of software, quietly embedded everywhere.

marsbitHá 57m

OpenAI No Longer Sells Its Most Expensive Model for Profit

marsbitHá 57m

Will the Fed Definitely Raise Interest Rates in September? How Will Crypto and U.S. Stocks Withstand the Pressure?

The market's expectation for a September Fed rate hike surged dramatically in early August, jumping from under 50% to over 80% within a week. This shift followed a contentious July FOMC meeting, where a 9-3 vote to hold rates revealed growing dissent from hawkish members advocating for an immediate hike to combat persistent inflation. The primary catalyst for this repricing is rising oil prices, driven by renewed geopolitical tensions around the Strait of Hormuz, which threaten global supply. Energy costs directly influence inflation metrics, making the upcoming July CPI report (due August 12th) a critical data point. If it shows inflation reaccelerating, the probability of a September hike will solidify. For Bitcoin and crypto assets, this is typically bearish news. Bitcoin continues to behave as a high-beta, liquidity-sensitive risk asset. A rate hike raises the opportunity cost of holding non-yielding assets and could drive capital toward money markets, pressuring crypto prices in the short term. However, historical patterns suggest that if a hike is perceived as the end of a tightening cycle rather than the start, any negative price impact may be brief. U.S. stocks, particularly crypto-linked equities like Coinbase and growth-oriented tech stocks, are also vulnerable. Higher rates increase discount rates in valuation models, putting pressure on high-multiple companies. This coincides with a pivotal tech earnings season where investor focus has shifted from massive AI capital expenditure to tangible revenue and cash flow generation. Companies with negative cash flow and weak growth narratives could face heightened volatility if borrowing costs rise in September. In summary, a September Fed hike has evolved into a mainstream market scenario. Key factors to watch are oil prices, the July CPI report, and Fed communications, which will determine the final decision and its impact on volatile crypto and equity markets.

marsbitHá 1h

Will the Fed Definitely Raise Interest Rates in September? How Will Crypto and U.S. Stocks Withstand the Pressure?

marsbitHá 1h

Trading

Spot
活动图片