Ethereum Near Bottom? Tom Lee Signals Market Turnaround

TheNewsCryptoPublished on 2026-03-20Last updated on 2026-03-20

Abstract

Ethereum's price is currently around $2,151, down over 50% from its 52-week high. Bitmine chairman Tom Lee believes the worst may be over, suggesting the market is at or near a bottom. He cites analysis comparing Ethereum's recent price action to the S&P 500's behavior during the 1987 crash and 2011 correction, indicating a potential end to the crypto winter. Lee also notes that ETH's current discount to its realized price is similar to the 2025 cycle low before a recovery. While veteran trader Peter Brandt also suggested a potential bottom, some social media users remain skeptical of Lee's prediction.

At press time, the price of Ethereum is hovering around $2,151, being 0.88% down in the past 7 days. Also, it is over 50% down from its 52-week high of around $4,831 hit in August last year.

That is a cruel slip; however, the chairman of Bitmine, Tom Lee, trusts that the worst is over. Not long ago, Lee referred to a “turnaround month” for markets overall, taking back recession fears.

The argument of Tom Lee takes on two analytical frameworks. The first comes from Tom DeMark, a market analyst working with Bitmine.

The analyst has recognised what he says is a 93% link between the latest price action of Ethereum and the S&P 500’s behaviour at the time of two historical episodes, the 1987 crash and the 2011 correction.

Users Not Convinced With the Theory

As per the 1987 correlation, Ethereum should have undersurfaced on March 7. Under the 2011 parallel, the bottom is now. Lee further mentioned that he thinks we are at the bottom or leaving the crypto winter now.

He also highlighted that in the 2025 cycle low, the price of ETH hovered at a 21% discount to the realised price before initiating a recovery. The present discount is almost identical, which he looks at as a meaningful indication.

Lee also highlighted the long-term track record of Ethereum to frame the present moment. In the last decade, ETH has returned around 49,000%, surpassing 11,000% of Bitcoin and around a 6,500% gain from Nvidia in the same duration.

Adding more to this, veteran trader Peter Brandt indicated a potential Ethereum bottom recently also. He suggested at a rally around $4,000 for the second-biggest crypto.

Although, he isn’t convinced by everyone. On social media, some users pushed back on the bottom call of Lee, with various highlighting that this is not the first time he has made it.

Highlighted Crypto News Today:

Dogecoin Buzz Returns as Elon Musk Revives Dogefather Meme

TagsETHETHEREUMtom lee

Related Questions

QWhat is the current price of Ethereum and how much has it fallen from its 52-week high?

AThe current price of Ethereum is hovering around $2,151, which is over 50% down from its 52-week high of approximately $4,831.

QWho is Tom Lee and what is his prediction for the cryptocurrency market?

ATom Lee is the chairman of Bitmine. He trusts that the worst is over for the market and has signaled a 'turnaround month,' suggesting we are at the bottom or leaving the crypto winter.

QWhat historical market events does Tom DeMark's analysis compare the current Ethereum price action to?

ATom DeMark's analysis compares the latest Ethereum price action to the behavior of the S&P 500 during the 1987 crash and the 2011 correction, noting a 93% correlation.

QWhat significant statistic about Ethereum's long-term performance does Tom Lee highlight?

ATom Lee highlighted that over the last decade, Ethereum has returned around 49,000%, surpassing Bitcoin's 11,000% and Nvidia's 6,500% gains in the same period.

QHow did some social media users react to Tom Lee's 'bottom call' for the market?

ASome social media users pushed back on Lee's bottom call, with various highlighting that this was not the first time he had made such a prediction.

Related Reads

The Essence of AI Layoffs: Why More AI Adoption Leads to More Corporate Anxiety?

The author, awaiting potential inclusion on an 8000-person layoff list, analyzes the true nature of recent "AI-driven" layoffs. They argue that while AI use, particularly tools like Claude for code generation, has skyrocketed and boosted developer output (e.g., 2-5x more code commits), this has not translated into proportional business growth or revenue. The core issue is a misalignment between increased "Input" (code) and tangible "Outcomes" (user value, revenue). AI acts as a costly B2B SaaS, inflating operational expenses without guaranteed returns. Two key problems emerge: 1) The friction that once filtered out bad ideas is gone, as AI allows cheap pursuit of even weak concepts. 2) Organizational "alignment tax"—the difficulty of coordinating across teams—becomes crippling when development velocity outpaces consensus-building. Thus, layoffs serve two immediate purposes: 1) To offset ballooning AI costs (Token consumption) and maintain cash flow, as rising input costs without outcome growth destroys unit economics. 2) To reduce organizational bloat and alignment friction by simply removing teams, thereby speeding up execution in the short term. Therefore, these layoffs are fundamentally caused by AI, even if AI doesn't directly replace roles. They represent a painful correction until companies learn to convert AI-driven productivity into real business outcomes and streamline organizational coordination to match the new pace of work. The cycle will continue until this learning curve is mastered.

marsbit4m ago

The Essence of AI Layoffs: Why More AI Adoption Leads to More Corporate Anxiety?

marsbit4m ago

Can the Solana Foundation and Google's Collaboration on Pay.sh Bridge the Payment Link Between Web2 and Web3 in the Agent Economy?

Solana Foundation, in collaboration with Google Cloud, has launched Pay.sh, a payment gateway designed to bridge the gap between AI agents and enterprise-grade service infrastructure. The initiative aims to solve a key bottleneck in the "agent economy": existing payment systems are ill-suited for autonomous AI agents. Traditional methods like credit cards require human verification, while newer on-chain protocols like x402 and MPP create a separate, Web3-native system that raises barriers for service providers. Pay.sh functions as a universal payment layer. It allows users to fund a Solana wallet via credit card or stablecoin, which then acts as an identity and payment proxy for AI agents. When an agent needs to access a paid API service (e.g., Google Cloud, Alibaba Cloud), Pay.sh handles the transaction seamlessly. It leverages the HTTP 402 status code ("Payment Required") to initiate payments, intelligently choosing between one-time transfers (x402-style) or session-based authorizations (MPC-style) based on the service's billing model. This spares agents from manual account registration and API key management. A key feature for service providers is low integration effort. They can adopt Pay.sh by providing a declarative configuration file, enabling features like tiered pricing, free tiers, and automatic revenue splitting to multiple addresses (e.g., for royalties, cloud costs). Providers can also list their APIs in a central Pay Skill Registry for agent discovery. The collaboration with Google Cloud provides crucial infrastructure for API proxying, traffic routing, and compliance logging, aiming to keep agent activities within regulated boundaries. By connecting Web2 services with Web3 payment rails, Pay.sh positions the Solana wallet as a foundational identity and payment tool for AI agents, potentially driving more transaction volume to the Solana ecosystem. However, the report notes challenges. The service registry currently lacks robust vetting, risking exposure to unauthorized or malicious third-party APIs. Pay.sh also inherits security and compatibility risks from its underlying payment protocols (x402, MPC). Furthermore, adoption may be hindered by varying regional data privacy and payment compliance regulations among API providers. Despite these hurdles, Pay.sh represents a significant step towards integrating Web2 and Web3 for autonomous agent commerce.

marsbit11m ago

Can the Solana Foundation and Google's Collaboration on Pay.sh Bridge the Payment Link Between Web2 and Web3 in the Agent Economy?

marsbit11m ago

Bitcoin's Bull-Bear Cycle Indicator Turns Positive for the First Time in 7 Months: End of Bear Market or False Breakout?

Bitcoin's "Bull-Bear Market Cycle Indicator" from CryptoQuant has turned positive for the first time since October 2025. This gauge, based on the P&L Index relative to its 365-day moving average, suggests a potential shift from a bear market phase. Concurrently, the Bull Score Index rose to a neutral reading of 50 in late April. The indicator's move into positive territory follows a roughly 35% price rebound from a low near $60,000 in February to above $81,000. The recovery over approximately three months was faster than the 12-month period observed during the 2022 bear market. However, analysts caution against premature optimism, citing a historical precedent from March 2022. Back then, the Bull Score Index briefly hit 50, but it proved to be a false signal as Bitcoin's price subsequently plunged further. Structural differences exist in the current cycle, including consistent inflows into spot Bitcoin ETFs and an increase in large holder addresses. Yet, some models, referencing the four-year halving cycle, suggest a potential deeper bottom near $50,000 might still be possible around late 2026. In summary, while on-chain data shows marked improvement and the worst panic may be over, market participants remain cautious. A convincing trend reversal confirmation likely requires Bitcoin to sustainably break above key resistance, such as the 200-day moving average near $82,000.

marsbit18m ago

Bitcoin's Bull-Bear Cycle Indicator Turns Positive for the First Time in 7 Months: End of Bear Market or False Breakout?

marsbit18m ago

How to Automate Any Workflow with Claude Skills (Complete Tutorial)

This is a comprehensive guide to mastering Claude Skills, a feature for creating permanent, reusable instruction sets that automate specific workflows. Unlike simple saved prompts, Skills function like trained employees, delivering consistent, high-quality outputs by defining the entire task process, standards, error handling, and output format. The guide is structured in four phases: **Phase 1: Installation (5 minutes).** Skills are folders containing a `SKILL.md` file. The user is instructed to find a relevant Skill online, install it, test it on a real task, and compare its performance to one-off prompts. **Phase 2: Building Your First Custom Skill.** Start by rigorously defining the Skill's purpose, trigger phrases, and providing a concrete example of perfect output. The `SKILL.md` file has two parts: a YAML frontmatter with a specific name/description/triggers, and a detailed, step-by-step workflow written in natural language with examples and quality standards. **Phase 3: Testing & Optimization for Production.** Test the Skill in three scenarios: 1) a standard, common task; 2) edge cases with missing or conflicting data; and 3) a pressure test with maximum complexity. Any failure indicates a needed instruction. Implement a weekly optimization cycle to continuously refine the Skill based on real usage. **Phase 4: Building a Complete Skill Library.** The goal is to create a team of Skills for all repetitive tasks. Examples are given for industries like real estate, marketing, finance, consulting, and e-commerce. The user should list their tasks, prioritize them, and build one new Skill per week, maintaining a master document to track their library. The conclusion emphasizes the compounding time savings: ten Skills saving 30 minutes each per week reclaims over 260 hours (6.5 work weeks) per year, fundamentally transforming one's work system.

marsbit42m ago

How to Automate Any Workflow with Claude Skills (Complete Tutorial)

marsbit42m ago

Trading

Spot
Futures

Hot Articles

Discussions

Welcome to the HTX Community. Here, you can stay informed about the latest platform developments and gain access to professional market insights. Users' opinions on the price of ETH (ETH) are presented below.

活动图片