The post Bids Stack Below $2,800 As Sellers Test Key EMA Resistance appeared on BitcoinEthereumNews.com. Aggressive bids stacked near $2,750–$2,800 helped EthereumThe post Bids Stack Below $2,800 As Sellers Test Key EMA Resistance appeared on BitcoinEthereumNews.com. Aggressive bids stacked near $2,750–$2,800 helped Ethereum

Bids Stack Below $2,800 As Sellers Test Key EMA Resistance

5 min read
  • Aggressive bids stacked near $2,750–$2,800 helped Ethereum form a short-term floor after the recent selloff.
  • A dense EMA cluster between $2,920 and $3,120 continues to cap rebounds, keeping the broader structure corrective.
  • Derivatives data shows leverage resetting rather than spot-led accumulation, favoring range-bound trade for now.

Ethereum price today trades near $2,950, stabilizing after a sharp rejection from the $3,100 area earlier this week. The rebound follows a sweep into the $2,750 to $2,800 zone, where aggressive bids emerged and forced short-term sellers to step back. While the bounce offers near-term relief, Ethereum remains capped below key EMA resistance, keeping the broader structure under pressure heading into December 20.

Buyers Defend $2,800 As Order Book Support Emerges

Short-term downside momentum slowed after Ethereum dipped into the $2,750 to $2,800 region. Order book data from Binance shows more than $150 million in bids stacked across that zone, signaling active defense from larger participants rather than passive liquidity.

Price respected that area cleanly, printing higher lows on lower timeframes before pushing back toward $2,950. This response matters. When size steps in during a sharp selloff, it often marks at least a temporary floor, even if the broader trend has not yet flipped.

However, defense alone does not confirm a reversal. Buyers still need to reclaim overhead structure to shift momentum decisively.

EMA Cluster Continues To Cap Recoveries

ETH Price Action (Source: TradingView)

On the 4-hour chart, Ethereum remains trapped beneath a dense EMA band. The 20 EMA near $2,918 and the 50 EMA around $2,992 sit directly above current price, while the 100 EMA at $3,036 and the 200 EMA near $3,120 define the larger resistance ceiling.

Related: Shiba Inu Price Prediction: Burn Rate Explodes As SHIB Bounces 5%…

This EMA compression reflects a market that has lost directional control. Each rally attempt over the past week stalled inside this band, reinforcing it as a sell zone rather than a launchpad. Until Ethereum closes above the 100 EMA with conviction, upside attempts remain corrective.

Fibonacci levels reinforce this view. The recent bounce stalled near the 0.382 retracement around $3,018, while the 0.5 level near $3,140 remains untouched. These levels align closely with the EMA structure, increasing their relevance.

Additionally, on the 4-hour RSI, readings have recovered toward the low 50s after dipping into oversold territory, signaling reduced selling pressure. 

Momentum Improves Short Term But Trend Remains Fragile

ETH Price Dynamics (Source: TradingView)

On the 30-minute chart, Parabolic SAR has flipped below price, supporting the short-term rebound. Directional movement indicators also show buyers gaining ground intraday, but the trend strength remains moderate. 

Related: XRP Price Prediction: Wallet Growth Surges Even as XRP Falls

These signals suggest room for a push higher, yet they lack confirmation from higher timeframes. In short, Ethereum is stabilizing, not breaking out.

Derivatives Data Shows Leverage Reset, Not Accumulation

ETH Derivative Analysis (Source: Coinglass)

Derivatives data adds important context. Futures volume is up more than 35%, while open interest has risen about 4%. That combination points to fresh positioning entering the market rather than an unwind-driven bounce.

Liquidations over the past 24 hours exceeded $157 million, with long and short liquidations nearly balanced. This indicates two-way pressure rather than a one-sided squeeze. Long-to-short ratios remain elevated across major exchanges, suggesting traders are still positioned for upside despite recent volatility.

This matters because rallies built on crowded long positioning tend to fade unless spot demand follows through. So far, derivatives activity has stabilized price but has not yet powered a sustained breakout.

Structure Still Favors Range Trading Into December 20

From a structural perspective, Ethereum continues to trade within a broad consolidation range between $2,800 and $3,100. The lower boundary is reinforced by visible bids and prior demand, while the upper boundary aligns with EMAs and prior breakdown levels.

Until one side breaks, price action is likely to remain choppy. Bulls need acceptance above $3,050 to open the door toward $3,200 and beyond. Bears, meanwhile, will focus on whether $2,800 continues to hold if selling pressure returns.

Outlook. Will Ethereum Go Up?

The near-term outlook hinges on how Ethereum behaves around the EMA cluster.

  • Bullish case: A sustained push above $3,050 followed by a close above the 100 EMA would signal that buyers are regaining control. That move would expose $3,200 and then $3,350 as the next upside targets.
  • Bearish case: Failure to reclaim $3,000, followed by a break back below $2,800, would invalidate the current rebound. That scenario opens the door to a deeper pullback toward $2,650.

Related: Bitcoin Price Prediction: Descending Trendline Holds as Netflows Fail to Confirm Recovery

Disclaimer: The information presented in this article is for informational and educational purposes only. The article does not constitute financial advice or advice of any kind. Coin Edition is not responsible for any losses incurred as a result of the utilization of content, products, or services mentioned. Readers are advised to exercise caution before taking any action related to the company.

Source: https://coinedition.com/ethereum-price-prediction-bids-stack-below-2800-as-sellers-test-key-ema-resistance/

Market Opportunity
NEAR Logo
NEAR Price(NEAR)
$0,9833
$0,9833$0,9833
-%7,32
USD
NEAR (NEAR) Live Price Chart
Disclaimer: The articles reposted on this site are sourced from public platforms and are provided for informational purposes only. They do not necessarily reflect the views of MEXC. All rights remain with the original authors. If you believe any content infringes on third-party rights, please contact service@support.mexc.com for removal. MEXC makes no guarantees regarding the accuracy, completeness, or timeliness of the content and is not responsible for any actions taken based on the information provided. The content does not constitute financial, legal, or other professional advice, nor should it be considered a recommendation or endorsement by MEXC.

You May Also Like

Top NYC Book Publishing Companies

Top NYC Book Publishing Companies

New York City has been the epicenter of American publishing for generations, but “NYC publishing” isn’t just one lane. Today’s landscape includes two very different
Share
Techbullion2026/02/06 14:02
Sensorion Announces its Participation in the Association for Research in Otolaryngology ARO 49th Annual Midwinter Meeting

Sensorion Announces its Participation in the Association for Research in Otolaryngology ARO 49th Annual Midwinter Meeting

MONTPELLIER, France–(BUSINESS WIRE)–Regulatory News: Sensorion (FR0012596468 – ALSEN) a pioneering clinical-stage biotechnology company which specializes in the
Share
AI Journal2026/02/06 14:45
AI Crypto Trading Secrets: What They Won’t Tell You About Profits and Pitfalls|9-Figure Media

AI Crypto Trading Secrets: What They Won’t Tell You About Profits and Pitfalls|9-Figure Media

AI crypto trading is everywhere, and every YouTube guru claims their bot mints money while they sleep. Sounds dreamy, right? However, most don’t discuss the full story, the wild profits possible, and the lurking pitfalls. As someone obsessed with the intersection of artificial intelligence and digital assets, let me pull back the curtain on the realities of algorithmic trading in the crypto jungle. Here’s what nobody tells you: 87% of retail traders using automated systems lose money within their first year. The marketing materials show cherry-picked results. The testimonials come from paid affiliates. But here’s the twist. The remaining 13% who succeed aren’t just lucky. They understand something the majority misses entirely. The Reality Behind the Hype The crypto world loves success stories. You’ve probably seen them. “I made $50,000 in three months using this bot.” What they don’t mention? The $200,000 they lost by testing seventeen other systems first. Real talk: most trading algorithms fail because they’re built for perfect market conditions. Crypto markets are anything but perfect. Think about it like this. Would you trust a Formula 1 car to handle rush hour traffic? That’s essentially what most people do with their trading bots. Why Smart Money Uses Crypto AI Tools Differently Professional traders approach crypto AI tools with surgical precision. They don’t expect miracles. They expect consistent, measured results. The difference lies in understanding what these tools actually do well: • Risk management automation • Pattern recognition at scale • Emotional bias elimination • 24/7 market monitoring • Portfolio rebalancing Notice what’s missing from that list? Get-rich-quick schemes. The smartest crypto AI tools focus on protecting capital first. Profits come second. This mindset separates winners from losers. Here’s something interesting. 9-figure media companies track these patterns religiously. They know which crypto AI tools produce sustainable results versus flashy short-term gains. Professional traders using crypto AI tools typically target 15–25% annual returns. Not 500% monthly moonshots. The Startup Connection Most People Ignore AI for startups isn’t just about building the next ChatGPT. Many successful companies use AI to optimize their crypto treasury management. Smart startups integrate crypto AI tools into their financial operations early. They automate routine decisions. They reduce human error. They scale their trading operations without hiring armies of analysts. But here’s where it gets interesting. The best AI for startup applications in crypto aren’t the obvious ones. Consider automated tax reporting. Or real-time compliance monitoring. Or treasury optimization across multiple blockchains. These unsexy applications generate more consistent profits than flashy trading algorithms. AI for startups in the crypto space succeeds when it solves boring problems efficiently. Not when it promises unrealistic returns. The most successful AI for startups implementations focus on operational efficiency. They reduce costs. They minimize risks. They free up human resources for strategic decisions. Learning from Top AI Start-Ups Top AI start-ups in the crypto space share common characteristics. They prioritize transparency over marketing hype. Look at successful top AI start-ups like Chainalysis or Elliptic. They don’t promise easy money. They provide essential infrastructure. The best top AI start-ups focus on solving real problems: • Market data analysis • Security monitoring • Regulatory compliance • Portfolio analytics • Risk assessment These top AI start-ups understand something crucial. Sustainable businesses solve actual problems. They don’t just ride hype cycles. 9-figure media outlets consistently highlight these fundamental companies. They ignore the noise. They focus on substance. Many top AI start-ups actually discourage retail trading. They know the odds. They’ve seen the casualties. Instead, successful top AI start-ups build tools for institutions. Banks. Hedge funds. Companies with proper risk management systems. The Hidden Costs Nobody Discusses Using crypto AI tools costs more than subscription fees. Much more. First, there’s the learning curve. Most people spend months figuring out proper settings. During this time, they’re paying tuition to the market. Second, there’s infrastructure. Reliable crypto AI tools require stable internet, backup systems, and proper security measures. Third, there’s opportunity cost. Time spent tweaking algorithms could be spent learning fundamental analysis. The real cost? Most people using crypto AI tools trade more frequently. Increased trading usually means increased losses. Think about 9-figure media companies again. They understand that technology amplifies existing skills. It doesn’t replace them. Smart Implementation Strategies Successful crypto AI tools users follow specific patterns: • Start with paper trading • Use position sizing rules • Set strict stop losses • Monitor performance weekly • Adjust strategies quarterly They treat crypto AI tools like any other business tool. With respect. With caution. With realistic expectations, startup applications work similarly. They augment human decision-making. They don’t replace it. The most successful AI for startups implementations in crypto involve human oversight at every level. Algorithms suggest. Humans decide. What Actually Works Here’s what separates successful crypto AI tools users from everyone else: They focus on consistency over home runs. They understand that small, regular gains compound better than occasional big wins followed by devastating losses. They apply AI principles to their approach for startups. They iterate quickly. They fail fast. They learn constantly. They study top AI start-ups for inspiration. But they don’t try to replicate their exact strategies. Most importantly, they never risk money they can’t afford to lose. The crypto market will humble anyone. AI doesn’t change this fundamental truth. Your success with crypto AI tools depends more on your discipline than the sophistication of your algorithms. Remember: the house always has an edge. Your job is to find where that edge doesn’t apply. That’s the secret they won’t tell you. AI Crypto Trading Secrets: What They Won’t Tell You About Profits and Pitfalls|9-Figure Media was originally published in Coinmonks on Medium, where people are continuing the conversation by highlighting and responding to this story
Share
Medium2025/09/18 23:20