TLDR Dogecoin fell more than 11% in 24 hours, becoming the biggest loser among top ten cryptocurrencies Trading volume surged 83% showing high selling pressure from traders The REX-Osprey DOGE ETF (DOJE) declined 5.76% since its Thursday launch Despite the decline, 80% of derivatives traders remain long on DOGE Price dropped from $0.27 peak to [...] The post Dogecoin (DOGE) Price: Drops 18% as Weekend Massacre Wipes Out Recent Gains appeared first on CoinCentral.TLDR Dogecoin fell more than 11% in 24 hours, becoming the biggest loser among top ten cryptocurrencies Trading volume surged 83% showing high selling pressure from traders The REX-Osprey DOGE ETF (DOJE) declined 5.76% since its Thursday launch Despite the decline, 80% of derivatives traders remain long on DOGE Price dropped from $0.27 peak to [...] The post Dogecoin (DOGE) Price: Drops 18% as Weekend Massacre Wipes Out Recent Gains appeared first on CoinCentral.

Dogecoin (DOGE) Price: Drops 18% as Weekend Massacre Wipes Out Recent Gains

2025/09/22 16:17

TLDR

  • Dogecoin fell more than 11% in 24 hours, becoming the biggest loser among top ten cryptocurrencies
  • Trading volume surged 83% showing high selling pressure from traders
  • The REX-Osprey DOGE ETF (DOJE) declined 5.76% since its Thursday launch
  • Despite the decline, 80% of derivatives traders remain long on DOGE
  • Price dropped from $0.27 peak to around $0.23 support level

Dogecoin experienced a sharp decline over the weekend, falling more than 11% in 24 hours. The drop made DOGE the worst performer among the top ten cryptocurrencies by market cap.

Dogecoin (DOGE) PriceDogecoin (DOGE) Price

The selloff began late Sunday night and continued into Monday’s trading session. Price action saw DOGE drop from around $0.27 to support levels near $0.23.

Trading volume jumped 83% during the decline. The increased volume shows high selling pressure and strong trader interest in the move.

At the time of the decline, DOGE was trading around $0.2494. The price action came after a period of relative stability for the memecoin.

The drop coincided with the launch of the first Dogecoin ETF in the United States. The REX-Osprey DOGE ETF started trading on Thursday under the ticker DOJE.

ETF Performance Disappoints

The new ETF failed to generate positive momentum for Dogecoin. DOJE declined 5.76% since its debut, closing Friday at $24.80.

The fund holds a combination of DOGE and DOGE derivatives. REX Shares positioned the ETF as offering regulated access to Dogecoin exposure.

The ETF issuer included disclaimers about the fund’s performance. They stated that investing in DOJE is not equivalent to investing directly in DOGE.

The company also noted that the ETF’s performance is not designed to replicate the underlying asset exactly. This disclaimer may have dampened investor enthusiasm.

Trading volumes for the ETF remained modest in its first days. The lackluster reception contrasted with hopes for institutional adoption.

Market Sentiment Remains Mixed

Despite the price decline, derivatives data showed mixed sentiment. Nearly 80% of traders remained long on DOGE according to Coinglass data.

This suggests many traders still expect upward price movement. The high long ratio occurred even as spot prices were falling.

Market cap for Dogecoin dropped to around $34.5 billion during the decline. This represented a decrease from previous weekly highs near $40 billion.

Total trading volume across all exchanges exceeded $4.3 billion. This nearly doubled the 50-day average trading volume.

The volume surge indicated both institutional rebalancing and retail participation. Large traders appeared to be adjusting positions during the selloff.

Source: TradingView

Technical analysts noted the $0.25 level as key support. Some pointed to accumulation activity at this price point.

Resistance levels remain near $0.27 based on recent trading patterns. A break above this level could signal renewed upward momentum.

The decline occurred during a period of broader crypto market weakness. Other major cryptocurrencies also faced selling pressure over the weekend.

Global risk sentiment has been fragile due to macroeconomic uncertainty. Regulatory scrutiny on cryptocurrencies has also increased recently.

Current Market Position

As of Monday, DOGE was trading in the $0.24 to $0.26 range. The price found some stability after the initial sharp decline.

Analysts are watching key technical levels for future direction. Support at $0.25 and resistance at $0.27 remain important price points.

Conservative forecasts suggest possible further downside to $0.23 if selling continues. More optimistic predictions point to potential recovery toward $0.28-$0.30.

The average September price target among analysts sits around $0.263. Some experts see potential highs near $0.268 if market conditions improve.

Current trading volumes remain above average levels. This suggests continued active participation from both retail and institutional traders.

The post Dogecoin (DOGE) Price: Drops 18% as Weekend Massacre Wipes Out Recent Gains appeared first on CoinCentral.

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Google's AP2 protocol has been released. Does encrypted AI still have a chance?

Google's AP2 protocol has been released. Does encrypted AI still have a chance?

Following the MCP and A2A protocols, the AI Agent market has seen another blockbuster arrival: the Agent Payments Protocol (AP2), developed by Google. This will clearly further enhance AI Agents' autonomous multi-tasking capabilities, but the unfortunate reality is that it has little to do with web3AI. Let's take a closer look: What problem does AP2 solve? Simply put, the MCP protocol is like a universal hook, enabling AI agents to connect to various external tools and data sources; A2A is a team collaboration communication protocol that allows multiple AI agents to cooperate with each other to complete complex tasks; AP2 completes the last piece of the puzzle - payment capability. In other words, MCP opens up connectivity, A2A promotes collaboration efficiency, and AP2 achieves value exchange. The arrival of AP2 truly injects "soul" into the autonomous collaboration and task execution of Multi-Agents. Imagine AI Agents connecting Qunar, Meituan, and Didi to complete the booking of flights, hotels, and car rentals, but then getting stuck at the point of "self-payment." What's the point of all that multitasking? So, remember this: AP2 is an extension of MCP+A2A, solving the last mile problem of AI Agent automated execution. What are the technical highlights of AP2? The core innovation of AP2 is the Mandates mechanism, which is divided into real-time authorization mode and delegated authorization mode. Real-time authorization is easy to understand. The AI Agent finds the product and shows it to you. The operation can only be performed after the user signs. Delegated authorization requires the user to set rules in advance, such as only buying the iPhone 17 when the price drops to 5,000. The AI Agent monitors the trigger conditions and executes automatically. The implementation logic is cryptographically signed using Verifiable Credentials (VCs). Users can set complex commission conditions, including price ranges, time limits, and payment method priorities, forming a tamper-proof digital contract. Once signed, the AI Agent executes according to the conditions, with VCs ensuring auditability and security at every step. Of particular note is the "A2A x402" extension, a technical component developed by Google specifically for crypto payments, developed in collaboration with Coinbase and the Ethereum Foundation. This extension enables AI Agents to seamlessly process stablecoins, ETH, and other blockchain assets, supporting native payment scenarios within the Web3 ecosystem. What kind of imagination space can AP2 bring? After analyzing the technical principles, do you think that's it? Yes, in fact, the AP2 is boring when it is disassembled alone. Its real charm lies in connecting and opening up the "MCP+A2A+AP2" technology stack, completely opening up the complete link of AI Agent's autonomous analysis+execution+payment. From now on, AI Agents can open up many application scenarios. For example, AI Agents for stock investment and financial management can help us monitor the market 24/7 and conduct independent transactions. Enterprise procurement AI Agents can automatically replenish and renew without human intervention. AP2's complementary payment capabilities will further expand the penetration of the Agent-to-Agent economy into more scenarios. Google obviously understands that after the technical framework is established, the ecological implementation must be relied upon, so it has brought in more than 60 partners to develop it, almost covering the entire payment and business ecosystem. Interestingly, it also involves major Crypto players such as Ethereum, Coinbase, MetaMask, and Sui. Combined with the current trend of currency and stock integration, the imagination space has been doubled. Is web3 AI really dead? Not entirely. Google's AP2 looks complete, but it only achieves technical compatibility with Crypto payments. It can only be regarded as an extension of the traditional authorization framework and belongs to the category of automated execution. There is a "paradigm" difference between it and the autonomous asset management pursued by pure Crypto native solutions. The Crypto-native solutions under exploration are taking the "decentralized custody + on-chain verification" route, including AI Agent autonomous asset management, AI Agent autonomous transactions (DeFAI), AI Agent digital identity and on-chain reputation system (ERC-8004...), AI Agent on-chain governance DAO framework, AI Agent NPC and digital avatars, and many other interesting and fun directions. Ultimately, once users get used to AI Agent payments in traditional fields, their acceptance of AI Agents autonomously owning digital assets will also increase. And for those scenarios that AP2 cannot reach, such as anonymous transactions, censorship-resistant payments, and decentralized asset management, there will always be a time for crypto-native solutions to show their strength? The two are more likely to be complementary rather than competitive, but to be honest, the key technological advancements behind AI Agents currently all come from web2AI, and web3AI still needs to keep up the good work!
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PANews2025/09/18 07:00
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