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

AI Agent Completely Transforms Web3 Gaming: From the Rugpull Bakery Bot Controversy to the New 2026 Agent Paradigm

This article explores how the AI Agent paradigm is fundamentally transforming Web3 gaming, moving from a disruptive force to a core, legitimized element. It begins with the controversy in the competitive baking game Rugpull Bakery, where automated scripts caused fairness issues. Instead of banning them, the developers integrated AI Agents into the official gameplay by providing technical documentation (skill.md, agent.json), marking a shift towards "Agentic Gaming." The piece outlines three primary implementation models for AI Agents in Web3 games by 2026: 1. **Autonomous Competitors & Economic Entities:** AI Agents act as independent players with unique strategies. Examples include TEN Protocol's poker agents, AI Arena's trainable NFT fighters, and Satoshi Strike Force's "Digital Athletes" trained on player data. The Somnia blockchain is highlighted as a dedicated "Agentic L1" infrastructure supporting this model at scale. 2. **Modular Infrastructure & Programmable Environments:** This model, exemplified by EVE Frontier, allows AI Agents to program game world logic itself. Using "Smart Assemblies" (e.g., Smart Turrets, Smart Gates), Agents can modify shared economic and physical rules on-chain, creating dynamic, player/AI-built worlds. The ERC-8183 standard further enables these automated entities to hire other AI services for complex tasks. 3. **Hybrid Companions & Dynamic Adaptation:** Here, AI serves as a collaborative partner. In Parallel Colony, highly autonomous AI Avatars work alongside human players who provide high-level guidance. Illuvium plans to use AI to make NPCs dynamic and responsive, creating personalized, emergent narratives for each player. The conclusion posits that Web3 gaming has reached a "post-human" inflection point. Blockchains' transparency and programmability, combined with new standards and infrastructure like Somnia, make integrating and governing AI Agents not just viable but essential. The future lies in a symbiotic digital order where players transition from manual laborers to commanders and partners of algorithmic intelligence.

marsbit3m ago

AI Agent Completely Transforms Web3 Gaming: From the Rugpull Bakery Bot Controversy to the New 2026 Agent Paradigm

marsbit3m ago

Saylor's Purchase of 1550 Bitcoin Is a Bad Trade

**Title: Saylor's Purchase of 1,550 Bitcoins Was a Bad Trade** The article critically analyzes Strategy's recent move of selling 32 bitcoins followed by a much larger purchase of 1,550 bitcoins. While appearing bullish, the author argues this trade is detrimental to MSTR shareholders. The core argument revolves around the concept of "breakeven modified Net Asset Value (mNAV)," a key metric for Strategy. To increase Bitcoin per share (BPS) for MSTR holders, Strategy must issue new shares at a premium high enough that the funds raised can buy more bitcoin than the bitcoin backing each existing share. Currently, this breakeven mNAV is estimated at 1.30. The recent trade failed on two counts: 1. The shares for the $181 million raise were issued at an mNAV *below* the 1.30 breakeven point. Selling "cheap" shares to buy bitcoin actually *reduces* BPS. 2. Only $101.3 million of the raised funds were used to buy bitcoin; the rest went to boost the company's dollar reserves. The breakeven mNAV calculation assumes *100%* of proceeds are used for bitcoin purchases. Diverting funds, even if mNAV were high, dilutes BPS. The result is an estimated 0.19% decrease in Bitcoin per share for MSTR holders. In exchange, Strategy merely extended its operational runway for its dollar reserves from ~6.3 months to 7 months. The author interprets this as Strategy prioritizing the survival and development of its STRC business over its stated core goal of increasing MSTR's BPS. This constitutes a gamble: if sacrificing MSTR value leads to improved market sentiment and a recovery in STRC's price (and thus mNAV), the whole system could work. If not, Strategy may be forced into a cycle of further diluting MSTR to stay afloat, potentially leading to deferred STRC dividends or corporate decline. The article concludes with a hope for price recovery for Bitcoin, MSTR, and STRC.

Foresight News14m ago

Saylor's Purchase of 1550 Bitcoin Is a Bad Trade

Foresight News14m ago

The AI Bear Market Lasting Two Days Is Over; Why Did Funds Buy Back Storage Stocks First?

After a severe two-day selloff in early June that erased over $1 trillion from U.S. chip stock market value, capital is flowing back first to the memory sector. The correction was not driven by a collapse in AI demand but rather a market reassessment of high expectations. Stocks like Broadcom faced selling pressure despite strong AI revenue guidance, signaling a shift in focus from who has an "AI story" to who can most rapidly translate AI demand into verifiable profits and earnings per share (EPS). Memory companies, such as Micron and SK Hynix, are leading the recovery because their EPS growth is more immediately verifiable. The AI server boom directly increases demand for high-bandwidth memory (HBM) and high-capacity server DRAM, tightening supply and driving up contract prices for conventional DRAM and NAND Flash. This price increase, coupled with a shift to higher-margin products, flows directly into near-term revenue and profitability, as evidenced in recent earnings reports. In contrast, other AI semiconductor segments like GPUs, ASICs, and optical modules, while central to the long-term AI infrastructure story, face longer and less certain paths to EPS validation. Their growth depends more on future product cycles, customer adoption timelines, and capital expenditure plans. The rebound in memory stocks highlights a market preference for assets with shorter, more transparent EPS conversion cycles following the recent de-risking phase. However, this does not negate the potential of other AI hardware segments should they provide clearer near-term order visibility. The episode has raised the validation bar for all AI-related investments.

marsbit14m ago

The AI Bear Market Lasting Two Days Is Over; Why Did Funds Buy Back Storage Stocks First?

marsbit14m ago

Trading

Spot
Futures
活动图片