Bitcoin Approaches Its 4-Year SMA On This Key Market Metric – Here’s What To Know

bitcoinistОпубликовано 2026-02-17Обновлено 2026-02-17

Введение

Bitcoin's price remains below $70,000, with analysts warning of a potential bear market as key metrics signal a continued correction. A critical indicator, the Bitcoin Daily Price Analysis with SMA Multiplier, shows BTC approaching its 4-year Simple Moving Average (SMA) near $57,500. Historically, this level has marked the final stage of bear markets, where Bitcoin becomes undervalued. Analysts note that the closer the price gets to this SMA, the more likely a structural bottom may form. However, current market behavior shows persistent selling pressure, keeping the cryptocurrency at a decisive point between long-term support and further downside.

With the price of Bitcoin stuck below the $70,000 mark, analysts are beginning to flag this current performance as an indication of a bear market. After several weeks of downward pressure, many key metrics are beginning to flash signs of a continued correction phase, reinforcing the idea of a bear market scenario.

Key Bitcoin Metric Drifts Toward Its 4-Year SMA

Given the recent signals from multiple Bitcoin key market metrics, the ongoing BTC downward action does not seem to have come to an end yet. Currently, a particular metric indicates that the flagship asset is nearing a historically significant threshold, akin to a bear market phase.

This signal is emerging from the Bitcoin Daily Price Analysis with SMA Multiplier, built around moving averages and multiples, as reported by Darkfost, a data analyst and author at CryptoQuant. Recent data shows that Bitcoin has shifted back into the green zone on the chart and is approaching its 4-year SMA, which is currently positioned around the $57,500 price level.

The higher the standard deviation, and, consequently, the multiple of the SMA, the more overbought Bitcoin seems. However, the expert highlighted that the closer the price gets to the 4-year SMA, the more undervalued the price of BTC becomes. To make these stages easier to comprehend, a color scale is used to illustrate all of this.

BTC nearly historic key zone | Source: Chart from Darkfost on X

In the past, this level has typically served as a reliable signal for the final stage of each bear market, with the flagship asset trading around these levels for several months. According to data on the chart, the market is nearing a bear market level, and Darkfost finds this current trend an interesting one that demands the market’s attention.

With Bitcoin edging closer to this level, focus is shifting to whether history will repeat itself or if a new cycle dynamic will kick in. For now, the cryptocurrency remains at a decision point that illustrates the mounting tension between persistent weakness and long-term valuation support.

Has BTC’s Price Reached A Bottom Yet?

As discussions about Bitcoin’s price bottom mount, Joao Wedson has provided insights into the situation using the BTC Long-Term Holder Realized Price Bands. Historically, the major bottoms have occurred when the price hits the -0.2 standard deviation levels of this key metric.

Wedson noted that this point is marked by classic capitulation phases and the final opportunity to buy the crypto king before a new bull market takes off. However, during the weekend, the behavior was different. A view into the chart shows that the price is unable to maintain moves above the +1 standard deviation, which suggests continued and aggressive sell activity from bears in these regions.

Currently, these bands are acting as natural support and resistance zones throughout market cycles. The likelihood of a structural bottom emerging rises sharply when the price gets closer to extremely negative values. Meanwhile, data is revealing the areas with the highest risk and the emergence of asymmetry.

BTC trading at $68,639 on the 1D chart | Source: BTCUSDT on Tradingview.com

Связанные с этим вопросы

QWhat key Bitcoin metric is approaching its 4-year Simple Moving Average (SMA) according to the article?

AThe Bitcoin Daily Price Analysis with SMA Multiplier metric is approaching its 4-year SMA, which is currently around the $57,500 price level.

QAccording to analyst Darkfost, what does it signify when Bitcoin's price gets closer to its 4-year SMA?

ADarkfost highlighted that the closer Bitcoin's price gets to the 4-year SMA, the more undervalued the asset becomes. Historically, this level has served as a reliable signal for the final stage of a bear market.

QWhat is the significance of the -0.2 standard deviation level on the BTC Long-Term Holder Realized Price Bands, as mentioned by Joao Wedson?

AAccording to Joao Wedson, major price bottoms have historically occurred when Bitcoin's price hits the -0.2 standard deviation levels of the Long-Term Holder Realized Price Bands, which is marked by capitulation phases and is considered the final opportunity to buy before a new bull market.

QWhat does the article suggest about the current market's ability to sustain price moves above the +1 standard deviation level?

AThe article states that the price has been unable to maintain moves above the +1 standard deviation level, which suggests continued and aggressive sell activity from bears in these regions.

QWhat are the two potential outcomes the article mentions as Bitcoin edges closer to its 4-year SMA?

AThe article states that focus is shifting to whether history will repeat itself (indicating a bear market bottom) or if a new cycle dynamic will kick in, leaving the cryptocurrency at a decision point between persistent weakness and long-term valuation support.

Похожее

Dialogue with a Macro Analyst: AI Drains All Liquidity from U.S. Stocks, $40K Bitcoin is the True Bottom

In a recent discussion, macro strategist Luke Groman, founder of FFT LC, presented a sobering analysis of current markets. He argues that while the S&P 500 hits new highs, this is largely driven by just seven AI stocks, which are "sucking all the oxygen and liquidity out of the room." Bitcoin, which he calls the "last working smoke alarm for liquidity," is signaling trouble, having entered a difficult period. Groman explains that the AI boom is fueled by accounting practices that front-load revenue, creating an illusion of high profits while cash is being depleted. He warns this cycle could reverse sharply when construction slows. His base case is that stocks will rise in dollar terms but fall significantly when measured in gold or Bitcoin, highlighting that long-term US Treasury futures have already lost 90% of their value against gold over the past decade. He points to major structural risks, including China's dominance in rare earths—a small commodity market underpinning trillions in tech stock value—and the prolonged closure of the Strait of Hormuz, which he calls a "Suez Moment" for the US. This, combined with a shift towards a "no ticky, no washy" proof-of-work system for settling trade (using gold, not trust), signals deeper systemic distrust. Regarding US debt, Groman notes that historically, all 58 countries that reached a 130% debt-to-GDP ratio defaulted, primarily through inflation. The US crossed this threshold in 2020. He also highlights a contradiction in the AI narrative: if it's as transformative as claimed, it must destroy white-collar jobs, threatening half of US tax revenue—a reality at odds with the "no job loss" messaging from tech leaders. On Bitcoin, Groman sold most of his position near the top and hasn't fully re-entered. Citing technical analysis from Northstar Bad Charts, he suggests a potential bottom around $40,000 could materialize in Q3 or Q4. He concludes that while he may be labeled a doomsayer, his view is simply realistic, grounded in historical precedents and current macro pressures.

marsbit57 мин. назад

Dialogue with a Macro Analyst: AI Drains All Liquidity from U.S. Stocks, $40K Bitcoin is the True Bottom

marsbit57 мин. назад

Apple's Desired On-Device AI Sees a Dark Horse Emerge: The First Cognitive Model is Born, 4B Matches GPT-5.4

A Chinese company, Tomorrow's Journey (Nextie), has introduced what it is calling the industry's first "cognitive model" for edge devices. Named New Journey Alpha, this 4-billion-parameter model reportedly matches the performance of trillion-parameter giants like GPT-5.4 in group intelligence tasks such as debate and collective decision-making. The development follows Andrej Karpathy's vision of stripping vast factual knowledge from large language models to retain only a smaller "cognitive core" capable of reasoning, planning, and knowing its own limits. This approach directly addresses the soaring computational costs and token expenses hindering AI's widespread deployment, as highlighted by incidents like Amazon shutting down an internal AI tool due to prohibitive costs. Trained via reinforcement learning on a corpus of academic papers from 1800-2020 to enhance generalization, the model enables three key advancements: 1) Improved decision quality in multi-agent systems, 2) Drastically reduced compute costs, allowing for cost-effective cloud or on-device (e.g., MacBook) deployment, and 3) The feasibility of "proactive" AI agents that act autonomously without user prompts, unlocking new commercial possibilities beyond today's reactive models. Built by the former Microsoft Xiaoice team—known for creating a 3.6B model that outperformed a 65B Llama model—the company is now focusing on the multi-agent systems sector, a field gaining significant investor interest. The model's economic impact is profound; by achieving high-level performance with minimal parameters, it fundamentally alters the cost structure of AI services, challenging the prevailing model of ever-larger parameter counts.

marsbit3 ч. назад

Apple's Desired On-Device AI Sees a Dark Horse Emerge: The First Cognitive Model is Born, 4B Matches GPT-5.4

marsbit3 ч. назад

Торговля

Спот
Фьючерсы

Популярные статьи

Как купить 4

Добро пожаловать на HTX.com! Мы сделали приобретение 4 (4) простым и удобным. Следуйте нашему пошаговому руководству и отправляйтесь в свое крипто-путешествие.Шаг 1: Создайте аккаунт на HTXИспользуйте свой адрес электронной почты или номер телефона, чтобы зарегистрироваться и бесплатно создать аккаунт на HTX. Пройдите удобную регистрацию и откройте для себя весь функционал.Создать аккаунтШаг 2: Перейдите в Купить криптовалюту и выберите свой способ оплатыКредитная/Дебетовая Карта: Используйте свою карту Visa или Mastercard для мгновенной покупки 4 (4).Баланс: Используйте средства с баланса вашего аккаунта HTX для простой торговли.Третьи Лица: Мы добавили популярные способы оплаты, такие как Google Pay и Apple Pay, для повышения удобства.P2P: Торгуйте напрямую с другими пользователями на HTX.Внебиржевая Торговля (OTC): Мы предлагаем индивидуальные услуги и конкурентоспособные обменные курсы для трейдеров.Шаг 3: Хранение 4 (4)После приобретения вами 4 (4) храните их в своем аккаунте на HTX. В качестве альтернативы вы можете отправить их куда-либо с помощью перевода в блокчейне или использовать для торговли с другими криптовалютами.Шаг 4: Торговля 4 (4)С легкостью торгуйте 4 (4) на спотовом рынке HTX. Просто зайдите в свой аккаунт, выберите торговую пару, совершайте сделки и следите за ними в режиме реального времени. Мы предлагаем удобный интерфейс как для начинающих, так и для опытных трейдеров.

654 просмотров всегоОпубликовано 2025.10.20Обновлено 2026.06.02

Как купить 4

Неделя обучения по популярным токенам 4: В 2025 году экосистема TRON переживает взрывной рост, TRON укрепляет позиции лидера по переводу стейблкоинов

В 2025 году экосистема TRON быстро развивается, уделяя особое внимание взаимодействию, безопасности и практическому внедрению.

2.1k просмотров всегоОпубликовано 2025.12.30Обновлено 2025.12.30

Неделя обучения по популярным токенам 4: В 2025 году экосистема TRON переживает взрывной рост, TRON укрепляет позиции лидера по переводу стейблкоинов

Обсуждения

Добро пожаловать в Сообщество HTX. Здесь вы сможете быть в курсе последних новостей о развитии платформы и получить доступ к профессиональной аналитической информации о рынке. Мнения пользователей о цене на 4 (4) представлены ниже.

活动图片