Digital currencies rose against the market on Friday, analyst says Bitcoin is approaching the bottoming zone of previous bear markets

华尔街日报Published on 2026-03-13Last updated on 2026-03-13

Abstract

Bitcoin has declined nearly 50% since October, but analysts suggest the sell-off may be nearing its end. Blockforce Capital’s Brett Munster uses four indicators to assess Bitcoin’s position in the current cycle. One key metric, the MVRV Z-Score, currently at 0.38, has entered a zone historically associated with market bottoms. The other indicators—Realized Price (~$54k), the 200-week moving average (~$58k), and a pattern of diminishing peak-to-trough declines—point toward a potential bottoming range between $45k and $60k. While not guaranteed, Munster believes the majority of the decline may be over, with improving risk-reward dynamics and a potential market turnaround by mid-year. Recent inflows into U.S. spot Bitcoin ETFs, totaling over $1.6 billion in the past month, also signal returning demand.

Bitcoin has fallen by nearly half since October last year. A crypto fund manager who has experienced the previous three bull and bear cycles said that a set of indicators that often signaled market bottoms in the past suggest that this round of may be entering its final stages.

Brett Munster of Blockforce Capital uses four indicators to determine Bitcoin's position in the current decline cycle. One of these indicators has already entered the range that matched market lows in past cycles. The other two indicators are clustered around $54,000 to $58,000, still below Bitcoin's current price of about $73,800. Bitcoin briefly touched $60,000 in February this year and then rebounded significantly, meaning it has already reached the upper end of what Munster considers a possible bottom range.

The gap between the current price and the range where these indicators are fully triggered might seem to suggest caution on the surface. But Munster believes this is not the case, reasoning that in the last bear market, for long-term holders, the difference between buying at $19,000 and catching the ultimate low of $15,600 was almost negligible.

Although a market bottom is not guaranteed, Munster said: "Most of the decline may already be over, and the risk-reward asymmetry is improving. The market could see a turnaround around mid-year."

On Friday, Bitcoin rose by up to 5% to about $73,800, but then pared gains as U.S. stocks turned lower during the session. However, digital currencies still outperformed the broader U.S. stock market, as well as gold and silver.

The indicator that has already signaled is the so-called MVRV Z-Score, which measures where Bitcoin is trading relative to its on-chain cost basis. When this indicator is below 0.4, Bitcoin is usually considered undervalued. The current reading is about 0.38.

Other indicators have not yet reached corresponding levels. Among them:

  • The Realized Price, which is the average price at which each Bitcoin was last moved on-chain, is currently about $54,000.

  • The 200-week moving average (often a key support level in past cycles) is currently around $58,000.

  • Another observed pattern is the gradual narrowing of the decline from peak to trough, which is often seen as a sign of an asset class maturing as liquidity and participation increase. This pattern suggests a potential bottom between $45,000 and $55,000.

Taken together, these four indicators point to what Munster calls a "high-probability accumulation zone," roughly between $45,000 and $60,000.

Even if selling pressure eases, sustained market recovery will require new demand, and there are already some signs of funds flowing back. U.S.-listed spot Bitcoin ETFs are attracting inflows again after months of outflows. According to media data, over the past month, inflows into funds including the iShares Bitcoin Trust ETF (IBIT) and the VanEck Bitcoin Trust ETF (HODL) totaled more than $1.6 billion.

Regarding this, Munster said: "Once the selling pressure subsides, even moderate new inflows could be enough to push the market higher."

It is also worth noting that some analysis points out that Bitcoin has recently acted as a geopolitical "barometer."

Related Questions

QWhat are the four indicators Brett Munster uses to assess Bitcoin's position in the current market cycle?

AThe four indicators are: 1) MVRV Z-Score, 2) Realized Price, 3) 200-week moving average, and 4) the pattern of diminishing peak-to-trough drawdowns.

QWhich indicator has already signaled that Bitcoin is in an undervalued territory, and what is its current value?

AThe MVRV Z-Score has signaled that Bitcoin is undervalued. Its current value is approximately 0.38, which is below the 0.4 threshold that typically indicates undervaluation.

QAccording to the analyst, what is the 'high probability accumulation range' for Bitcoin based on these indicators?

AThe 'high probability accumulation range' for Bitcoin, based on the combined indicators, is roughly between $45,000 and $60,000.

QWhat positive sign for market recovery is mentioned regarding U.S.-listed Bitcoin ETFs?

AAfter months of outflows, U.S.-listed spot Bitcoin ETFs have started to attract capital inflows again, with a total of over $1.6 billion flowing into funds like the iShares Bitcoin Trust ETF (IBIT) and the VanEck Bitcoin Trust ETF (HODL) in the past month.

QHow did Bitcoin perform compared to the broader U.S. stock market and gold/silver on the Friday mentioned in the article?

AOn that Friday, Bitcoin initially rose by 5% to approximately $73,800. Although its gains narrowed later due to a downturn in U.S. stocks, its performance was still stronger than the broader U.S. stock market, as well as gold and silver.

Related Reads

a16z: AI's 'Amnesia', Can Continuous Learning Cure It?

The article "a16z: AI's 'Amnesia' – Can Continual Learning Cure It?" explores the limitations of current large language models (LLMs), which, like the protagonist in the film *Memento*, are trapped in a perpetual present—unable to form new memories after training. While methods like in-context learning (ICL), retrieval-augmented generation (RAG), and external scaffolding (e.g., chat history, prompts) provide temporary solutions, they fail to enable true internalization of new knowledge. The authors argue that compression—the core of learning during training—is halted at deployment, preventing models from generalizing, discovering novel solutions (e.g., mathematical proofs), or handling adversarial scenarios. The piece introduces *continual learning* as a critical research direction to address this, categorizing approaches into three paths: 1. **Context**: Scaling external memory via longer context windows, multi-agent systems, and smarter retrieval. 2. **Modules**: Using pluggable adapters or external memory layers for specialization without full retraining. 3. **Weights**: Enabling parameter updates through sparse training, test-time training, meta-learning, distillation, and reinforcement learning from feedback. Challenges include catastrophic forgetting, safety risks, and auditability, but overcoming these could unlock models that learn iteratively from experience. The conclusion emphasizes that while context-based methods are effective, true breakthroughs require models to compress new information into weights post-deployment, moving from mere retrieval to genuine learning.

marsbit2h ago

a16z: AI's 'Amnesia', Can Continuous Learning Cure It?

marsbit2h ago

Can a Hair Dryer Earn $34,000? Deciphering the Reflexivity Paradox in Prediction Markets

An individual manipulated a weather sensor at Paris Charles de Gaulle Airport with a portable heat source, causing a Polymarket weather market to settle at 22°C and earning $34,000. This incident highlights a fundamental issue in prediction markets: when a market aims to reflect reality, it also incentivizes participants to influence that reality. Prediction markets operate on two layers: platform rules (what outcome counts as a win) and data sources (what actually happened). While most focus on rules, the real vulnerability lies in the data source. If reality is recorded through a specific source, influencing that source directly affects market settlement. The article categorizes markets by their vulnerability: 1. **Single-point physical data sources** (e.g., weather stations): Easily manipulated through physical interference. 2. **Insider information markets** (e.g., MrBeast video details): Insiders like team members use non-public information to trade. Kalshi fined a剪辑师 $20,000 for insider trading. 3. **Actor-manipulated markets** (e.g., Andrew Tate’s tweet counts): The subject of the market can control the outcome. Evidence suggests Tate’sociated accounts coordinated to profit. 4. **Individual-action markets** (e.g., WNBA disruptions): A single person can execute an event to profit from their pre-placed bets. Kalshi and Polymarket handle these issues differently. Kalshi enforces strict KYC, publicly penalizes insider trading, and reports to regulators. Polymarket, with its anonymous wallet-based system, has historically been more permissive, arguing that insider information improves market accuracy. However, it cooperated with authorities in the "Van Dyke case," where a user traded on classified government information. The core paradox is reflexivity: prediction markets are designed to discover truth, but their financial incentives can distort reality. The more valuable a prediction becomes, the more likely participants are to influence the event itself. The market ceases to be a mirror of reality and instead shapes it.

marsbit3h ago

Can a Hair Dryer Earn $34,000? Deciphering the Reflexivity Paradox in Prediction Markets

marsbit3h ago

Trading

Spot
Futures

Hot Articles

What is $BITCOIN

DIGITAL GOLD ($BITCOIN): A Comprehensive Analysis Introduction to DIGITAL GOLD ($BITCOIN) DIGITAL GOLD ($BITCOIN) is a blockchain-based project operating on the Solana network, which aims to combine the characteristics of traditional precious metals with the innovation of decentralized technologies. While it shares a name with Bitcoin, often referred to as “digital gold” due to its perception as a store of value, DIGITAL GOLD is a separate token designed to create a unique ecosystem within the Web3 landscape. Its goal is to position itself as a viable alternative digital asset, although specifics regarding its applications and functionalities are still developing. What is DIGITAL GOLD ($BITCOIN)? DIGITAL GOLD ($BITCOIN) is a cryptocurrency token explicitly designed for use on the Solana blockchain. In contrast to Bitcoin, which provides a widely recognized value storage role, this token appears to focus on broader applications and characteristics. Notable aspects include: Blockchain Infrastructure: The token is built on the Solana blockchain, known for its capacity to handle high-speed and low-cost transactions. Supply Dynamics: DIGITAL GOLD has a maximum supply capped at 100 quadrillion tokens (100P $BITCOIN), although details regarding its circulating supply are currently undisclosed. Utility: While precise functionalities are not explicitly outlined, there are indications that the token could be utilized for various applications, potentially involving decentralized applications (dApps) or asset tokenization strategies. Who is the Creator of DIGITAL GOLD ($BITCOIN)? At present, the identity of the creators and development team behind DIGITAL GOLD ($BITCOIN) remains unknown. This situation is typical among many innovative projects within the blockchain space, particularly those aligning with decentralized finance and meme coin phenomena. While such anonymity may foster a community-driven culture, it intensifies concerns about governance and accountability. Who are the Investors of DIGITAL GOLD ($BITCOIN)? The available information indicates that DIGITAL GOLD ($BITCOIN) does not have any known institutional backers or prominent venture capital investments. The project seems to operate on a peer-to-peer model focused on community support and adoption rather than traditional funding routes. Its activity and liquidity are primarily situated on decentralized exchanges (DEXs), such as PumpSwap, rather than established centralized trading platforms, further highlighting its grassroots approach. How DIGITAL GOLD ($BITCOIN) Works The operational mechanics of DIGITAL GOLD ($BITCOIN) can be elaborated on based on its blockchain design and network attributes: Consensus Mechanism: By leveraging Solana’s unique proof-of-history (PoH) combined with a proof-of-stake (PoS) model, the project ensures efficient transaction validation contributing to the network's high performance. Tokenomics: While specific deflationary mechanisms have not been extensively detailed, the vast maximum token supply implies that it may cater to microtransactions or niche use cases that are still to be defined. Interoperability: There exists the potential for integration with Solana’s broader ecosystem, including various decentralized finance (DeFi) platforms. However, the details regarding specific integrations remain unspecified. Timeline of Key Events Here is a timeline that highlights significant milestones concerning DIGITAL GOLD ($BITCOIN): 2023: The initial deployment of the token occurs on the Solana blockchain, marked by its contract address. 2024: DIGITAL GOLD gains visibility as it becomes available for trading on decentralized exchanges like PumpSwap, allowing users to trade it against SOL. 2025: The project witnesses sporadic trading activity and potential interest in community-led engagements, although no noteworthy partnerships or technical advancements have been documented as of yet. Critical Analysis Strengths Scalability: The underlying Solana infrastructure supports high transaction volumes, which could enhance the utility of $BITCOIN in various transaction scenarios. Accessibility: The potential low trading price per token could attract retail investors, facilitating wider participation due to fractional ownership opportunities. Risks Lack of Transparency: The absence of publicly known backers, developers, or an audit process may yield skepticism regarding the project's sustainability and trustworthiness. Market Volatility: The trading activity is heavily reliant on speculative behavior, which can result in significant price volatility and uncertainty for investors. Conclusion DIGITAL GOLD ($BITCOIN) emerges as an intriguing yet ambiguous project within the rapidly evolving Solana ecosystem. While it attempts to leverage the “digital gold” narrative, its departure from Bitcoin's established role as a store of value underscores the need for a clearer differentiation of its intended utility and governance structure. Future acceptance and adoption will likely depend on addressing the current opacity and defining its operational and economic strategies more explicitly. Note: This report encompasses synthesised information available as of October 2023, and developments may have transpired beyond the research period.

363 Total ViewsPublished 2025.05.13Updated 2025.05.13

What is $BITCOIN

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 BTC (BTC) are presented below.

活动图片