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Dogecoin price nears resistance as momentum signals exhaustion

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Dogecoin price nears Fibonacci resistance as momentum signals exhaustion - 1

Dogecoin price approaches key Fibonacci resistance near the value area high. Weak momentum suggests exhaustion, raising the risk of a bull trap and a rotation back toward $0.08 support.

Summary

  • Key Resistance: DOGE testing 0.618 Fibonacci and value area high confluence.
  • Momentum Signal: Weak momentum suggests potential rally exhaustion.
  • Downside Risk: Rejection and VWAP loss could rotate price toward $0.08 support.

Dogecoin (DOGE) price is approaching a critical technical inflection point as price rallies back toward a major resistance zone. The current move has brought the meme coin back into an area where multiple previous rejections have occurred, making it an important level that could determine the next directional move.

This resistance region is defined by the 0.618 Fibonacci retracement level, which aligns with the value area high on the chart. When multiple technical indicators converge at the same level, it often creates a strong resistance zone where selling pressure may begin to emerge.

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As Dogecoin tests this confluence area again, traders are closely watching whether price can break through or if another rejection will send the market back toward support.

Dogecoin price key technical points

  • Fibonacci Resistance: DOGE testing 0.618 Fibonacci retracement aligned with the value area high.
  • Momentum Weakness: Price rallying with declining momentum, signaling potential exhaustion.
  • Range Structure: Rejection could lead to a rotation back toward $0.08 support.
Dogecoin price nears Fibonacci resistance as momentum signals exhaustion - 1
DOGEUSDT (4H) Chart, Source: TradingView

Dogecoin’s current price movement is unfolding within a broader range structure that has defined the market for several weeks. During this time, price has repeatedly reacted to clearly defined technical levels, particularly around the upper resistance zone where several previous rallies have stalled.

The most recent rally has once again brought DOGE back toward this resistance region, where the 0.618 Fibonacci retracement and the value area high intersect. This type of technical confluence often creates a strong barrier for price because multiple groups of traders identify the same level as a potential area to take profits or initiate short positions.

As price approaches this level, momentum indicators are beginning to show signs of weakening. While the rally itself has been sharp, the underlying momentum does not appear to be strengthening in proportion to the move higher. In technical analysis, this type of divergence between price movement and momentum can sometimes signal that a rally is losing strength.

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Meanwhile, rising interest in Bitcoin mining in 2026 amid market volatility is also driving attention toward beginner-friendly cloud mining platforms such as Hashbitcoin, reflecting continued activity across the broader crypto ecosystem.

Another important factor to consider is the nature of the current move toward resistance. The price behavior leading into this level resembles what traders often refer to as a short squeeze. Short squeezes occur when traders holding short positions are forced to close their trades as price rises, creating a rapid upward move that is driven more by liquidations than by strong underlying buying demand.

While short squeezes can produce impressive price spikes, they often lack the sustained momentum required to break through major resistance levels. As a result, these types of rallies can sometimes turn into bull traps, where price briefly moves higher before reversing sharply once buying pressure fades.

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If Dogecoin experiences another rejection at the current resistance zone, the market may begin rotating lower once again within the established trading range. This type of rotational behavior is common in range-bound markets, where price frequently moves between support and resistance levels as liquidity shifts between buyers and sellers.

One key technical indicator to watch in the short term is the Volume Weighted Average Price (VWAP). VWAP often acts as a dynamic resistance or support level that reflects the average price at which the asset has traded throughout a given period.

If Dogecoin begins closing candles below the current VWAP resistance, it would signal that bullish momentum is fading and that sellers may be regaining control of the market. In that scenario, the probability would increase for a deeper corrective move back toward the lower boundary of the range.

Meanwhile, cloud mining has shifted crypto earning from complex hardware setups to simple smartphone access, though choosing the right platform remains essential, reflecting how accessibility across the broader crypto ecosystem continues to evolve.

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What to expect in the coming price action

Dogecoin is currently testing a major resistance zone where the 0.618 Fibonacci retracement aligns with the value area high. Momentum indicators suggest that the rally may be approaching exhaustion, increasing the likelihood of another rejection.

If price fails to break above this region and begins closing below the VWAP, the market could rotate back toward the $0.08 support level, continuing the broader trading range structure.

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Crypto World

Dogecoin price rare pattern points to a 50% surge despite ETF drought

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dogecoin price

Dogecoin price rose for two consecutive days this week as Bitcoin and most altcoins stabilized. 

Summary

  • Dogecoin price has formed a double-bottom pattern on the daily chart.
  • Demand for DOGE ETFs has waned this month.
  • The volume and futures open interest have continued rising.

Dogecoin (DOGE) token was trading at $0.09 today, March 10, up slightly from this month’s low of $0.087. This rebound is happening even as demand for the three spot DOGE ETFs wanes completely.

Data shows that Grayscale’s GDOG, 21Shares’s TDOG, and Bitwise’s BWOW have accumulated over $7.45 million in inflows. Their net assets have moved to $8.97 million, a tiny amount for one of the biggest coins in the crypto industry.

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Most notably, these funds have added just $779k in assets this month. They have not had any inflows in the last five consecutive days. In contrast, spot Solana ETFs have had $955 million in inflows since their inception and $21 million this month.

On the positive side, data shows that the volume in the spot and futures markets is improving. CoinGlass numbers show that its volume on Tuesday jumped to over $2.6 billion, the third consecutive day of gains. It has soared from $1.4 billion on Sunday.

Dogecoin’s futures open interest has also stabilized above the $1.2 billion range. Also, the weighted funding rate turned green, a sign that traders in the futures market expect it to rebound.

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Dogecoin price technical analysis

dogecoin price
DOGE price chart | Source: crypto.news

The daily chart is showing that the DOGE price has bottomed. It formed a double-bottom-like pattern at $0.0877, its lowest level in February and March. Its neckline was at $0.1170, its highest swing on February 15 this year.

A double-bottom pattern signals that bears are afraid of placing trades below that price. The price target is established by estimating the height by subtracting the double-bottom from the neckline. In this case, the height is $0.030. One then adds this figure to the neckline, giving it a target of $0.1470.

Other indicators are pointing to a rebound. For example, the Relative Strength Index has jumped to the neutral point of 50, while the MACD indicator is nearing the zero line.

Therefore, the token will likely bounce back, with the initial target being the neckline at $0.1170. A move above that level will point to further gains to the double-bottom target at $0.1470, which is about 50% above the current level.

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Gemini shows how deeply Google’s AI is wiring into U.S. military power

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Gemini shows how deeply Google’s AI is wiring into U.S. military power

Google’s Gemini AI is being embedded across the U.S. military, cementing AI‑defense as structural policy and tying Bitcoin closer to big‑tech, liquidity‑driven macro trades.

Summary

  • Google’s Gemini agents will automate workflows for roughly 3 million Pentagon staff via the new GenAI.mil platform.
  • The contract marks Google’s return to military AI under tighter guardrails, alongside parallel Pentagon deals with OpenAI, Anthropic and xAI.
  • Bitcoin and Ethereum are trading as high‑beta expressions of the same AI‑defense‑tech liquidity complex, not as isolated “crypto” stories.

According to a new report in Bloomberg, Google is about to wire its AI directly into the day‑to‑day machinery of the U.S. military, and markets need to treat that as structural, not cosmetic. Alphabet’s Google will roll out Gemini‑based “AI agents” across the Pentagon’s roughly three million civilian and military staff, automating routine work on unclassified systems in what Defense Secretary Pete Hegseth calls the start of an “AI‑driven culture change” on the digital battlefield.

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These agents are not chatbots bolted onto email; they are task executors. Bloomberg reports that Gemini agents “can undertake work independently on behalf of a user who sets them tasks,” with Emil Michael, the Pentagon’s Under Secretary of Defense for Research and Engineering, saying deployment will begin on non‑classified networks before expanding across classification levels. In a separate blog post, Google vice‑president Jim Kelly said the system will let “civilian and military personnel at the Department of Defense build AI agents using natural language,” embedding them into workflows spanning logistics, document processing, and data triage. The new platform, branded GenAI.mil, is the front end of a $200 million contract Google Cloud won last year to deliver AI capabilities to the Department of Defense; rival firms OpenAI, Elon Musk’s xAI and Anthropic have secured similar deals.

The partnership rests on two pillars: scale and doctrine. Scale is explicit – three million potential users, military and civilian, with Hegseth arguing “the future of warfare in America is upon us, and it is driven by AI,” as software helps the military “swiftly analyze video footage and imagery.” Doctrine is softer but more consequential: by standing up GenAI.mil as a system‑of‑record, the Pentagon is signalling that AI is no longer an experiment but a baseline assumption for planning, targeting, procurement and administration. That comes after years of controversy. In 2018, thousands of Google employees protested its work on Project Maven, a Pentagon program using AI to analyze drone footage, forcing the company to let the contract lapse; the new deal shows management is now willing to re‑enter defense under tighter guardrails and clearer messaging.

For crypto markets, the partnership matters as a macro and market‑structure signal, not because blockchains sit inside the deal. Bitcoin trades near $70,400 over the past 24 hours, up about 3.5%, while Ethereum changes hands around $2,059 with a roughly 2.9% daily gain, moving in tandem with large‑cap tech as investors lean back into long‑duration, AI‑linked growth stories. As defense, AI and big‑tech spending consolidate into a single policy‑backed complex, BTC increasingly trades as a high‑beta expression of the same liquidity and discount‑rate expectations, rather than a separate “crypto” narrative.

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CFTC Chair Backs Blockchain-Powered Prediction Markets Despite Pushback

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CFTC Chair Backs Blockchain-Powered Prediction Markets Despite Pushback

US Commodity Futures Trading Commission (CFTC) Chair Michael Selig has voiced support for prediction markets paired with blockchain technology, claiming they could become powerful tools for discovering truth.

Speaking at the FIA Global Cleared Markets Conference in Boca Raton, Florida, on Monday, Selig argued that prediction markets, also known as event contracts, can provide valuable signals about future events when participants put money behind their views, describing well-functioning markets as “truth machines.”

“When participants express views on future events — and back those views with capital — they create accountability, transparency and information,” Selig said. He added that highly liquid prediction markets often produce signals that the public increasingly sees as more reliable than traditional opinion polls.

“The reality is that prediction market platforms are now viewed by the public as more accurate than political polls,” Selig claimed, pointing to the 2024 US presidential election as an example where market pricing captured the scale of the outcome.

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Related: Kalshi sued over Khamenei prediction market ‘death carveout’

US states take legal action against prediction markets

Selig’s backing of prediction markets comes as several US states have taken legal or regulatory action against these platforms, arguing that their event-based contracts resemble unlicensed gambling.

Last week, two US federal court rulings allowed Nevada regulators to continue pursuing legal action against prediction market platforms Polymarket and Kalshi. In February, the state sued Kalshi after the prediction market company lost its court challenge to stop the state’s regulator from taking action over its sports prediction markets.

Selig during the speech. Source: YouTube

Massachusetts has also taken action, filing a lawsuit against Kalshi over sports prediction contracts offered to residents. Meanwhile, Connecticut regulators issued cease-and-desist letters to Kalshi and Robinhood, ordering them to stop offering certain event contracts tied to sports outcomes.

The CFTC chair said the agency plans to provide clearer rules for how event contracts can be listed and traded under the regulator’s framework. He said staff have been directed to draft guidance outlining how these markets should operate while remaining compliant with existing derivatives laws.

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Related: Kalshi, Polymarket eye $20B valuations in potential fundraising: WSJ

CFTC chair plans clearer crypto asset classification

Selig also said the CFTC plans to pursue a clearer classification framework for crypto assets and provide guidance on how rules apply to developers of non-custodial software such as digital wallets and decentralized finance applications.