Ethereum [ETH] rises above $1,210 but is a year-end rally on the cards

AmbcryptoPublicado em 2022-12-26Última atualização em 2022-12-26

Resumo

The technical indicators shed no light on the way forward for Ethereum. With lower liquidity in the market, quick moves to trigger a mass of stop-loss orders before a short-term reversal are possible

Ethereum [ETH] witnessed very low volatility in the past few days. Since 20 December the price stuck to the $1,213 mark. This can be attributed to the holiday season. Yet, crypto markets never sleep, and ETH traders can look out for a move into an area of significance.

""

For instance, $1,245 and $1,350 are two areas where the bulls will run into a large number of sellers. With Bitcoin also experiencing a muted period of sideways trading, what direction will the trend be when one emerges?

""

Ethereum reclaims mid-range but could see a dip once more to fill large orders

Source: ETH/USDT on TradingView

""

The market structure shifted to a bullish bias on lower timeframes when ETH rise from $1,160 and was able to rise above the $1,190 mark over the past week. However, the trading volume and the volatility have been quite low in recent days. This meant that the price could see a large deviation north or south in search of liquidity before a quick reversal.

""

This can go either way. ETH could rise to tag the H12 breaker at $1250 before plunging to $1160 once more. The reverse was also equally likely. Therefore a trader can wait for a trend to establish itself. The Relative Strength Index (RSI) has been close to the neutral 50 mark in recent days to indicate momentum favored neither the buyers nor the sellers.

""

The Fibonacci retracement levels plotted were also important. In the next few days, a move above the 38.2% level or below the 61.8% level, followed by a retest, could serve as a trigger for a trader to target the respective extremes of the range (white). The range high is at $1,350 and the low is at $1,073.

Source: Santiment

""

The Market Value to Realized Value (MVRV) ratio (30-day) fell into negative territory after Ethereum dumped from $1,340 to show that the asset was undervalued on shorter time scales. The 90-day mean coin age also took a hit at that time. Since then, the mean coin age metric has been on the rise. This showed some accumulation.

""

The weighted sentiment also shot higher recently, but there was no notable response from the price yet. In the past, a rising sentiment was not necessarily bullish for the price either. Instead, traders can be wary of a strong surge in the MVRV ratio as it can signal holders are ready to take profits.

Leituras Relacionadas

EF's Epic Reorganization: 20% Layoffs, Budget Halved, Is Ethereum Gearing Up for a Leaner Future?

The Ethereum Foundation (EF) has announced a major organizational restructuring, involving a 20% staff reduction (approx. 54 employees) and a division into functional clusters like Protocol, Access, User, Community, and Institutional layers. Co-founder Vitalik Buterin further revealed plans to cut the EF's budget by around 40% over the coming years, aiming to reduce its annual spending rate from about 15% to roughly 5% by 2030, transitioning to an endowment-driven model. This overhaul is seen as a long-overdue correction to the EF's ambiguous role. As Ethereum grew, the foundation faced persistent criticism over ETH sales, perceived lack of execution, and unclear strategy, often becoming a focal point for community frustration amid ETH's price stagnation. The reform aims to redefine the EF's boundaries, narrowing its focus to core protocol research, public goods funding, and ecosystem coordination, while offloading more applied development work to the broader market. Concurrently, ecosystem forces like the newly formed Ethlabs (founded by ex-EF researchers) and other independent groups are stepping in to fill the space, signaling a shift from a centralized model to a more distributed, collaborative ecosystem structure. The move was notably praised by Solana co-founder toly, who viewed a "leaner" EF as potentially more decisive and agile.

Odaily星球日报Há 18m

EF's Epic Reorganization: 20% Layoffs, Budget Halved, Is Ethereum Gearing Up for a Leaner Future?

Odaily星球日报Há 18m

Dragonfly Partner Haseeb: The Fastest-Growing Companies of the Future May All Get Stuck at 149 Employees

Dragonfly partner Haseeb explores the distorted economics of AI model pricing, drawing parallels to tax policy. He notes that startups and small teams (under 150 users) enjoy heavily subsidized, fixed-price AI subscriptions (like Claude Code), where the marginal cost of an additional token is effectively zero. This creates a powerful incentive for them to maximize token usage ("token-maxxing") and innovate aggressively with AI automation. In contrast, large enterprises (over 150 users) are forced onto "Enterprise" plans, paying per-token API fees with high (~75%) markups. This acts like a steep "tax" on AI-powered labor, disincentivizing marginal automation and experimental use, and encouraging them to retain more human workers. Haseeb argues this pricing creates a "150-person cliff," a regulatory notch similar to labor laws in France that discourage firms from growing past 50 employees. He predicts the fastest-growing future companies may deliberately cap their headcount at 149 to avoid the punitive enterprise pricing. This would foster an "AI-first" management philosophy obsessed with automation and outsourcing to stay lean. While not intentionally designed, this bifurcated pricing could become one of the most influential de facto tax policies, shaping how AI replaces labor—not through mass layoffs at big firms, but through agile, AI-native startups outcompeting them.

marsbitHá 29m

Dragonfly Partner Haseeb: The Fastest-Growing Companies of the Future May All Get Stuck at 149 Employees

marsbitHá 29m

How xBubble Breaks Through in the VC-Heavily-Backed OPC Economy

xBubble: Addressing the Structural Gap in the VC-Backed OPC Economy The concept of OPC (One Person Company) is evolving from a buzzword to a significant AI-driven market. While AI coding tools like Replit and Lovable have validated demand from non-technical users wanting to build applications, a key gap remains: the leap from creating a demo to running a stable, evolving business. These tools still require users to manage the development process, including technical judgments for integrations, modifications, and deployments—a major hurdle for OPCs. xBubble, by DAPPOS, tackles this by shifting from "Prompt-to-Code" to "SOP-to-Business." Instead of generating code from instructions, its core is a system of pre-organized SOPs (Standard Operating Procedures) that translate business goals—like "sell World Cup merchandise"—into complete, executable workflows. This includes generating cohesive assets, pages, payment systems, and backend logic. The platform is augmented by a network of third-party service providers who handle infrastructure (hosting, domains, payment setup), acting like "on-site service engineers." Users can pay for these services directly with xBubble credits, simplifying onboarding. This ecosystem aims to deliver not just an app, but a complete, modifiable business launch path. xBubble targets a clear OPC segment: small commercial nodes (e.g., creators, merchants) with existing products, customers, or channels, but for whom a full tech team is unjustifiable. Its potential lies in SOPs accumulating expertise from real cases, improving reliability and reducing delivery costs over time. Additionally, its native support for crypto payments caters to global or digital-native OPCs. In summary, as AI democratizes software creation, xBubble's opportunity is to prove that "SOP-to-Business" provides more immediate value for launching a real, operational business than a powerful but unstructured AI coding tool.

链捕手Há 32m

How xBubble Breaks Through in the VC-Heavily-Backed OPC Economy

链捕手Há 32m

If It's Not a Clear Yes, It's a No: A Nine-Year Retrospective by a VC Who Survived Four Cycles

**"Invest Only When Certain": A Nine-Year Retrospective from a VC Across Four Cycles** IOSG founder Jocy shares hard-earned lessons from nine years and over a hundred investments in Web3. The core challenge isn't identifying successful founders, but understanding why talented founders with solid ideas still fail. Through building a "failed founder database," IOSG identified six recurring failure patterns. **Founder Trait Red Flags:** 1. **Emotionally Unstable:** Founders who react defensively to criticism or publicly lash out under pressure (e.g., 80% drawdowns) often fail. Resilience is key. 2. **Lacking Hunger / Having a Fallback:** Founders with significant safety nets (family wealth, cushy fallback jobs) may lack the "do-or-die" commitment needed to survive crypto's brutal cycles. 3. **Unchecked Ego:** Includes "polished execution machines" who excel in known frameworks but struggle when paradigms shift, and "professor-types" who are technically brilliant but resistant to commercial feedback or coaching. **Project Structure Red Flags:** 4. **Token-First, Not Product-First:** Treating the token solely as a fundraising tool with no real utility or connection to product value is a major warning sign. The project should have value even if the token goes to zero. 5. **No Day-1 Exit Thesis:** Founders must have a clear, staged capital strategy from the start, understanding what each funding round needs to prove to unlock the next. "Exit before entry" is crucial. 6. **No Full-Cycle Experience:** Founders who haven't lived through a complete crypto bull/bear cycle (e.g., 2018, 2022) often underestimate their vulnerability. IOSG limits initial checks for such teams to $250k, sizing for risk. **The Positive Flipside: Desirable Founder Traits** The ideal candidate exhibits: obsessive problem-depth, being a second-time founder with a non-consensus vision, strong communication skills with *controlled* ego, relentless perseverance, and a global perspective with agency and taste (increasingly vital in the AI era). **Three Survival Tips for Founders:** 1. **Cash Flow Over Narrative:** Real revenue is what sustains projects, not vanity metrics. 2. **Tokens Are a Liability:** Avoid issuing a token unless absolutely necessary. The hidden costs (market making, liquidity, compliance) are immense, often a multi-million-dollar burden. 3. **Respect Liquidity:** Sell during peaks to build treasury, buy back to support the protocol during troughs. Be realistic about valuations and your ability to deliver for the next round. The final principle is simple yet paramount: **"If it's a borderline 'yes' or 'no,' don't invest."** In an industry that reinvents itself every few years, the discipline to consistently say "no" is the ultimate secret to longevity.

Foresight NewsHá 57m

If It's Not a Clear Yes, It's a No: A Nine-Year Retrospective by a VC Who Survived Four Cycles

Foresight NewsHá 57m

Trading

Spot
Futuros
活动图片