Can DOGE Shake Off Bearish Pressure, or Is a Deeper Slide Ahead?

TheNewsCryptoPublished on 2026-03-04Last updated on 2026-03-04

Abstract

The broader crypto market is bearish, with major assets like Bitcoin and Ethereum stuck at lows. Dogecoin (DOGE) has declined by 3.3%, currently at $0.08912, while trading volume increased by 13.20%. The meme coin market cap has dropped 4% to $32.2 billion. DOGE faces potential further decline toward the $0.088 support level if bearish pressure continues. A reversal could see it reclaim resistance at $0.090. Technical indicators show bearish momentum: MACD and signal lines are below zero, Chaikin Money Flow indicates selling pressure and capital outflows, and the RSI at 39.54 reflects weak sentiment with a bearish bias. Bull Bear Power signals very weak bearish strength but near-balanced market conditions. If trends persist, DOGE may experience deeper losses.

The broader crypto market remains under the bearish radar, with the majority of the digital assets charted in red. The assets like Bitcoin (BTC) and Ethereum (ETH) are stuck at their former lows. Meanwhile, the meme coin market cap has slipped by 4% to $32.2 billion. Besides, the dog-themed token, Dogecoin (DOGE), has plunged by 3.3%.

The meme coin opened the day, trading at a high range of $0.0923. It has faced a series of ups and downs, and gradually the bears took control, sending the price to a low level of $0.08872. Currently, DOGE is trading at $0.08912, with its trading volume up by 13.20% to $1.36 billion. And the DOGE market has seen a liquidation of $6.24 million.

With the active bearish sentiment, the DOGE might retrace toward the key support zone at $0.088. If the correction on the downside gains more power, the bears would initiate the death cross to unfold and drive the price even lower. Assuming a reversal for the DOGE price, it may climb and reclaim the resistance at the $0.090 mark. A breakout could trigger the bulls to push the golden cross out, taking the meme coin price up toward its recent highs.

Bearish Momentum Builds for DOGE Amid Weak Setup

The Moving Average Convergence Divergence (MACD) and the signal lines of DOGE are settled below the zero line, which indicates its bearish momentum. The recent price action has remained weaker than the broader trend average. A move back above zero would weaken the bears and potentially shift the trend.

Likewise, the Chaikin Money Flow (CMF) indicator found at -0.18 suggests strong selling pressure in the DOGE market, with clear capital outflows from the asset. Notably, the distribution is dominating, and the sellers are more lively than the buyers. If it remains deeply negative, the downside pressure may continue.

DOGE’s daily Relative Strength Index is stationed at 39.54, implying weak sentiment with a bearish bias, as it is below the neutral level. Also, the selling pressure is exceeding the buying pressure, but not in extreme bearish conditions. With the RSI dropping closer to 30, it may strengthen the bearish momentum.

Furthermore, the Bull Bear Power (BBP) reading of -0.00314 signals very weak bearish strength. As it is extremely close to zero, it displays a near-balanced market, where momentum is limited, and neither side has strong control. If it moves further below the zero line, it likely strengthens the ongoing downtrend.

Top Updated Crypto News

Crypto.com Launches First Crypto-Native Mixed Asset IRA in the U.S

TagsCryptocurrencyDOGEDogecoinMeme Coin

Related Questions

QWhat is the current trading price of Dogecoin (DOGE) and how much has it declined?

ADogecoin is currently trading at $0.08912 and has declined by 3.3%.

QWhat key support level is DOGE at risk of retracing towards if the correction continues?

AIf the correction continues, DOGE is at risk of retracing towards the key support zone at $0.088.

QWhat do the MACD and Chaikin Money Flow (CMF) indicators suggest about the DOGE market?

AThe MACD and signal lines being below the zero line indicate bearish momentum. The CMF value of -0.18 suggests strong selling pressure and capital outflows from the DOGE market.

QWhat does the Relative Strength Index (RSI) reading of 39.54 imply for DOGE?

AThe RSI reading of 39.54 implies weak sentiment with a bearish bias, as it is below the neutral level, indicating that selling pressure is exceeding buying pressure.

QWhat recent development did Crypto.com announce according to the article's footer?

ACrypto.com launched the first crypto-native mixed asset IRA in the U.S.

Related Reads

When Doing Cryptocurrency Payment, the First Thing is Licenses, What is the Second?

When launching a crypto payment business, obtaining the necessary licenses is the crucial first step. However, the second, and arguably more critical, step is designing a comprehensive operational framework that forms a coherent business loop. This loop must be clearly understood and executable by all stakeholders: banks, payment partners, exchanges, on-chain analytics providers, regulators, and your internal team. Many projects mistakenly believe a single license permits all operations. Licenses merely grant entry; they don't define how the specific business functions. The real challenge lies in detailing every aspect of the workflow. This involves clarifying the customer base, the flow of fiat and crypto assets, the settlement process, and establishing clear lines of responsibility for risks like AML compliance, sanctions screening, chargebacks, and regulatory inquiries. A robust framework must answer seven core questions: Who are the clients and merchants? Who collects fiat and crypto? Who handles conversion and custody? And who is ultimately accountable for compliance and risk management? Projects often fail not from a lack of licensing, but during due diligence when they cannot convincingly explain these operational details. Therefore, beyond securing licenses, the priority must be constructing a closed-loop system. This system ensures the business model is transparent, risks are managed, responsibilities are delineated, contracts are aligned, and the entire process is comprehensible to partners and regulators. The true competitive edge in crypto payments lies not in acquiring a license quickly, but in integrating licensing, banking, compliance, and operations into a sustainable and executable whole.

marsbit34m ago

When Doing Cryptocurrency Payment, the First Thing is Licenses, What is the Second?

marsbit34m ago

Arthur Hayes Analysis: AI Bubble Nears Burst, Crypto Market Faces Short-Term Pressure

Arthur Hayes argues that the current AI market is a bubble poised to burst, which will exert downward pressure on the crypto market in the near term. The core trigger is rising oil prices due to the US-Iran conflict and a blockade of the Strait of Hormuz. Higher energy costs directly increase the operational expenses of AI data centers, squeezing profit margins for companies like Google, Anthropic, and OpenAI. Hayes predicts that persistent inflation from high oil prices will force Trump, in a bid to win the November election, to turn public sentiment against the AI industry. He may propose regulations and taxes on data centers and AI companies to appeal to voters concerned about costs and job displacement. Such political rhetoric could shatter market confidence. Furthermore, the market is unlikely to healthily absorb the massive concurrent IPOs of SpaceX, Anthropic, and OpenAI, which together seek valuations in the trillions. The combination of soaring energy costs, overwhelming equity supply, and negative political pressure will puncture the AI bubble. Hayes notes that nearly all new USD liquidity since 2022 has flowed into AI, leaving crypto like Bitcoin behind. When the AI bubble bursts, liquidity will contract sharply, pulling down all risk assets, including cryptocurrencies. In response, Hayes's fund, Maelstrom, has sold all AI-related stocks and non-core cryptocurrencies. It maintains core positions in Bitcoin and Ethereum while increasing exposure to energy sector equities, betting on rising oil and gas prices. He expects Bitcoin to bottom after the AI-led market decline, before rallying again with future monetary easing.

Foresight News48m ago

Arthur Hayes Analysis: AI Bubble Nears Burst, Crypto Market Faces Short-Term Pressure

Foresight News48m ago

To C, To B, and the Next Big Thing Called To A

After To C and To B, the Next Wave is To A: Serving AI Agents In a recent quarterly earnings call, Meituan's Wang Xing introduced a new concept: To A (To Agent), signifying that future business services will increasingly target AI Agents as primary clients, not just consumers or merchants. This shift implies that internet giants must now consider how to make their services more appealing for AI Agents to recommend, fundamentally altering traditional distribution logic. This "To A era" is prompting an unusual trend of alliances among major tech companies. Unlike previous competitive battles, firms like Meituan, Tencent, JD.com, Huawei, OPPO, and OpenAI are rapidly forming partnerships. The reason is strategic: as AI Agents become the primary user interface, handling tasks from a single command (e.g., "Book a Japanese restaurant for tomorrow"), the risk for platforms is being bypassed entirely. Companies are positioning themselves within this new value chain. Three primary strategies are emerging: 1. **Super-Entry Points + Service Providers:** Platforms like Tencent's Yuanbao, WeChat, and ChatGPT aim to be the first-stop Agent, integrating various services (food delivery, shopping, travel) from partners like Meituan and JD.com. 2. **Apps as Callable Services:** Companies like Meituan, JD.com, and Uber are ensuring their core services remain accessible and callable by external Agents, shifting from front-end apps to back-end capabilities. 3. **System-Level Agent Entry Points:** Smartphone makers (Huawei, Honor, OPPO) are leveraging their OS-level AI assistants to control the initial user command, redistributing it to relevant service apps. While alliances offer mutual benefit—entry points gain service capabilities, and service providers gain traffic—inherent conflicts of interest exist. A dominant Agent platform could eventually attempt to connect directly with suppliers (restaurants, hotels), bypassing current aggregators like Meituan or Ctrip. Other unresolved challenges include the potential for Agent recommendations to become a new form of paid ranking and unclear accountability for faulty recommendations. The current rush to form alliances is a defensive move by service providers to secure their position before the landscape solidifies. In this To A-driven restructuring, the greatest risk is not losing the race but failing to hear the starting gun.

marsbit56m ago

To C, To B, and the Next Big Thing Called To A

marsbit56m ago

The More Lifelike the Robot, the More Terrifying? Unveiling the 'Uncanny Valley Effect' in the Era of Humanoid Robots

As humanoid robots become increasingly lifelike, they confront a significant psychological barrier known as the "Uncanny Valley Effect," a concept proposed by Japanese roboticist Masahiro Mori in 1970. This phenomenon describes a dip in human comfort and acceptance when robots appear almost, but not perfectly, human. Minor imperfections in facial expressions, eye movements, or skin texture trigger a subconscious sense of unease, as the brain detects something trying, yet failing, to mimic a person. Examples range from the controversial human-like robot Sophia to animated characters in films like *The Polar Express*. The effect poses a key design challenge for robotics companies. Some, like Boston Dynamics, avoid it entirely by creating highly capable but visibly mechanical robots. Others, like Hanson Robotics, push for greater human likeness despite the risk. For consumer robots, especially in homes, most manufacturers opt for stylized or clearly mechanical designs to ensure broader acceptance. While the Uncanny Valley remains a powerful force, its impact may diminish over time through technological advancements that achieve near-perfect realism or through generational familiarity as people grow accustomed to interacting with humanoid machines. Ultimately, navigating this psychological frontier requires as much understanding of human perception as of robotics technology itself.

marsbit57m ago

The More Lifelike the Robot, the More Terrifying? Unveiling the 'Uncanny Valley Effect' in the Era of Humanoid Robots

marsbit57m ago

Trading

Spot
Futures
活动图片