Crypto Market Still In Fear After Historical Lows, But Can Bitcoin And Ethereum Recover?

bitcoinistОпубліковано о 2026-05-01Востаннє оновлено о 2026-05-01

The crypto market is still struggling to fully shake off the fear that dominated most of April, even though Bitcoin and Ethereum prices have started to show signs of stabilization. The latest Crypto Fear & Greed Index from Alternative.me shows the market at 26, which keeps sentiment still in the fear zone. That is slightly better than last month’s extreme fear reading of 8.

Traders are no longer in panic mode, but they are also not confident enough to call the recovery safe and dive full-head on into Bitcoin and Ethereum.

Fear Has Eased, But Investors Are Still Not Comfortable

The crypto market opened May 2026 in a state of persistent anxiety, and the Fear & Greed Index chart shows just how fragile the recovery has been. At the start of April, the index was stuck in deep fear levels, with readings around 8 to 12 in the first week. That reading was due to heavy caution across the market, as Bitcoin and Ethereum struggled to recover from earlier selling pressure.

According to data from Alternative.me, the Crypto Fear & Greed Index is at a 26 reading on May 1, a three-point decline from the previous day’s reading of 29.

Fear And Greed Index. Source: Alternative.me

Sentiment improved gradually through the middle of the month, climbing into the 20s before briefly pushing into 46 and 67 on April 23 and April 27, respectively. Those two spikes were important because they showed that traders were beginning to respond to the rebound in prices when Bitcoin pushed above $78,000.

However, the index has now fallen back to 26, meaning the market failed to hold the stronger sentiment seen last week. A move from 8 to 26 shows that extreme panic has eased, but a fall from 39 last week to 26 now shows that the confidence is not strong yet.

Crypto Fear And Greed Index. Source: Alternative.me

Can Bitcoin And Ethereum Recover?

Bitcoin posted a 12% gain across April, but the macro backdrop and profit-taking have prevented that momentum from translating into durable bullish sentiment. Nonetheless, Bitcoin has been the stronger side of recovery attempts in April.

At the time of writing, Bitcoin is trading around $77,000, and it recently came close to breaking above $80,000 on Monday, April 27 before losing momentum. That rejection explains why fear is still high. The market still needs proof that the rebound can survive beyond short-term relief buying. A clean move above $80,000 would likely change the tone of the sentiment, and the Fear and Greed Index could start to flip positive.

Ethereum’s position is more complicated. ETH is trading at $2,274, with CoinMarketCap data showing a 24-hour gain of about 1% at the time of writing. That shows some short-term recovery, but Ethereum is still not leading the market in the same way Bitcoin is.

Bitcoin has benefited from stronger ETF inflows, while Ethereum has been more uneven with fewer inflows. In order for Ethereum to recover properly, it likely needs Bitcoin to first stabilize above resistance at $2,300. From here, the leading altcoin could start to post price recoveries in May.

BTC price stabilizing in favor of the bulls | Source: BTCUSD on Tradingview.com

Пов'язані матеріали

CPU Makes a Comeback to the Table, A $170 Billion "Power Seizure" Drama Begins

A new era is dawning for the server CPU (Central Processing Unit), driven by the shift from AI model training to large-scale reasoning and the rise of Agentic AI. This article explores how the CPU is reclaiming a central role in the AI data center. For years, the focus has been on the GPU (Graphics Processing Unit) for AI training. However, as AI moves to the inference and Agent phase—where tasks involve complex, multi-step reasoning, tool calls, and data management—the workload balance is flipping. Studies show CPUs now handle over 70% of the workload in Agentic AI, up from 10-30% in training. This is because Agent tasks generate massive intermediate data (KV Cache) that exceeds GPU memory, forcing it to be offloaded to the CPU's larger, more scalable memory pools. This increased importance is translating into market changes. Major players are taking note: NVIDIA launched its first standalone CPU line, Vera, based on ARM architecture and optimized for Agent performance. AMD doubled its server CPU market forecast to over $1200 billion by 2030. Analyst reports project the total server CPU market could reach $1700 billion by 2030, with AI-driven demand being a primary driver. Furthermore, the classic ratio of CPUs to GPUs in AI servers is rapidly changing, converging from 1:8 toward 1:1 for Agent deployments. This surge in demand has led to a rare industry-wide price increase of 10-15% for server CPUs from Intel and AMD, breaking a decade-long trend of "more performance for the same price." Demand is bifurcating into high-core-count CPUs for in-rack GPU support and moderate-core CPUs for standalone Agent task orchestration. In China, this global trend presents an opportunity for domestic CPU manufacturers like Hygon (海光信息) and Huawei Kunpeng, who are bolstered by both growing AI infrastructure needs and national policies promoting technological self-reliance ("xin chuang"). The maturity of their software ecosystems is also accelerating, evidenced by faster adaptation to new AI models. In conclusion, the narrative is shifting from a GPU-centric view to one where CPU-GPU synergy is critical. The CPU is no longer a peripheral component but a performance-defining bottleneck and a key growth driver in the AI hardware stack, opening a massive new market estimated in the hundreds of billions of dollars.

marsbit8 год тому

CPU Makes a Comeback to the Table, A $170 Billion "Power Seizure" Drama Begins

marsbit8 год тому

TechFlow Intelligence: AMD AI Director Publicly Criticizes Claude Code for "Becoming Dumber and Lazier", Trump Claims Full Ceasefire in Hormuz But Strait Still Has 80 Unexploded Mines

TechFlow Intelligence Report: This daily digest covers key developments in AI, crypto, hardware, and geopolitics. In AI, SK Telecom faces US export control scrutiny over its partnership with Anthropic, while a Gemini user reports being misled in a scam scenario, sparking safety debates. China's Z.AI launches the GLM-5.2 model, rivaling Claude Opus without NVIDIA chips. In crypto, Bithumb lists ReProtocol, and Upbit delists KernelDAO. On the hardware front, MIT researchers build a custom OS to study chips, ASML denies US claims its advanced lithography machines are in China, and Amazon considers selling its in-house AI chips. Apple's future A21 Pro chip may use TSMC's latest N2P process. Major tech issues include 10,000 GitHub repositories distributing malware and Apple patching a critical eavesdropping flaw in Beats earbuds. US stocks rise, led by semiconductors, with Intel surging 10.6%, while SpaceX falls 3.5%. Geopolitically, despite a US-Iran deal, the Strait of Hormuz remains risky with ~80 uncleared mines, stalling 80M barrels of oil on standby tankers. Iran postpones Switzerland talks, and Trump calls the agreement an "unconditional surrender." The report highlights a contrast: temporary geopolitical calm versus the ongoing, fundamental restructuring of tech supply chains and chip independence.

marsbit8 год тому

TechFlow Intelligence: AMD AI Director Publicly Criticizes Claude Code for "Becoming Dumber and Lazier", Trump Claims Full Ceasefire in Hormuz But Strait Still Has 80 Unexploded Mines

marsbit8 год тому

Торгівля

Спот
Ф'ючерси
活动图片