Bitcoin’s Sideways Price Persists – See How Retail And Whale Investors Have Reacted

bitcoinistPublished on 2026-04-07Last updated on 2026-04-07

Abstract

Bitcoin's price remains range-bound between $65,000 and $70,000, leading to diverging behaviors between retail and whale investors. Retail holders are exiting the market amid the ongoing sideways movement, while whales are accumulating Bitcoin at an unprecedented rate. The Bitcoin Whale Exchange Ratio has surpassed 60%, indicating the highest level of whale dominance in a decade. This shift suggests that the market is increasingly controlled by high-net-worth players, potentially setting the stage for a future bullish rally. Despite current volatility and consolidation, large investors show strong conviction, signaling possible upward price pressure ahead.

After multiple attempts over the past few days, the price of Bitcoin has failed to reclaim and break past the $70,000 mark as volatility continues to overshadow the market. Since the waning price action, the activity of retail BTC holders and whale investors across the market seems to have been slowly diverging.

BTC Whales And Retailers Activity Diverge

With ongoing volatility, Bitcoin has remained compressed within the $65,000 and $70,000 range, and investors are starting to demonstrate their reaction. A notable shift is unfolding in the structure of BTC as large holders or whales and retail holders are moving in a different direction.

According to CW, a crypto market expert and investor, retail holders have been leaving the market, possibly linked to the ongoing sideways price action of BTC. Meanwhile, whale investors are entering the market, allowing them to take full control of the market and capitalize on its future moves.

Following his analysis of the Bitcoin Whale Exchange Ratio, the expert highlighted that the key metric has surpassed 60%, which shows that the market is sitting comfortably in the hands of high-net-worth players. It is worth noting that this figure marks its highest level in the past 10 years.

Source: Chart from CW on X

This transition is changing market dynamics to a period where BTC’s price performance is becoming more influenced by the choices of a small group of players. When this divergence occurs, it is considered a key indicator in determining volatility, liquidity, and Bitcoin’s next major move.

CW stated that retail investors left the market swiftly after the Bitcoin price fell to the $60,000 level. This level holds historical and psychological importance in the BTC market. As seen in the chart, this point at which the exchange whale ratio reached its peak is the starting point of every bullish rally in the past decade.

Are Large Holders Positioning For A Bitcoin Rally?

Despite the bearish price action, large investors’ sentiment is becoming evidently strong and is currently expanding. In another post on the X platform, CW shared that BTC whales are steadily increasing their balances at a tremendous rate at current price levels.

When large investors accumulate at such a pace, it often points to robust conviction in the coin in spite of broader market uncertainty. In some cases, this powerful buying spree transitions into a period of sustained upward pressure, which raises the speculation of whether BTC could be set to surge again.

This ongoing accumulation is not just extremely fast, it is also unprecedented in the history of BTC. Whale investors are pushing the pace to its maximum, while BTC retail holders have exited the market as the asset continues to consolidate. These holders are unfazed by BTC’s current price trend as they scooped up massive amounts of BTC without experiencing any decrease.

BTC trading at $66,217 on the 1D chart | Source: BTCUSDT on Tradingview.com

Related Questions

QWhat is the current price range that Bitcoin has been compressed within according to the article?

ABitcoin has remained compressed within the $65,000 and $70,000 range.

QHow have retail investors and whale investors reacted differently to Bitcoin's recent price action?

ARetail holders have been leaving the market, while whale investors are entering and accumulating Bitcoin at a tremendous rate.

QWhat key metric, according to expert CW, surpassed 60% and what does it signify?

AThe Bitcoin Whale Exchange Ratio surpassed 60%, signifying that the market is sitting comfortably in the hands of high-net-worth players, marking its highest level in the past 10 years.

QWhat historical and psychological price level did the article mention as significant, and what happened when Bitcoin's price fell to it?

AThe $60,000 level was mentioned as historically and psychologically significant. When the price fell to this level, retail investors left the market swiftly, and it has been the starting point of every bullish rally in the past decade.

QWhat is the potential market outcome suggested by the unprecedented accumulation pace of Bitcoin by whale investors?

AThe powerful buying spree by whales could transition into a period of sustained upward pressure, raising speculation that Bitcoin could be set to surge again.

Related Reads

Sequoia Dialogue with Jensen Huang: Computing Model Undergoes a 60-Year Transformation; You Won't Be Replaced by AI, But You Will Be Dimensionality-Reduced by 'Those Who Master AI'

NVIDIA founder and CEO Jensen Huang, in a conversation with Sequoia Capital's Konstantine Buhler, argues that we are witnessing the most significant computing shift in 60 years—from retrieval-based to generative computing. Instead of just storing and retrieving data, future systems will generate highly personalized content (text, images, video) on demand, powered by massive "AI factories." Huang envisions a global "intelligence network" that will envelop the planet, following the historical patterns of energy and communication grids. He outlines a five-layer investment framework: 1) Energy, 2) Chips/Computers, 3) Infrastructure (data centers), 4) AI Models, and 5) Applications. He predicts this ecosystem will reach a scale of $20 trillion annually. Crucially, Huang pushes back against fears of AI-driven job loss. He distinguishes between specific "tasks" (e.g., typing, analyzing images) and overall "jobs" (e.g., CEO, radiologist). While AI automates tasks, it increases efficiency and demand for the higher-value problem-solving aspects of professions, thus creating more jobs and "up-leveling" careers. The real risk, he asserts, is not being replaced by AI, but being outperformed by someone who effectively leverages it. He urges everyone to embrace AI as a tool for augmented capability and innovation.

marsbit22m ago

Sequoia Dialogue with Jensen Huang: Computing Model Undergoes a 60-Year Transformation; You Won't Be Replaced by AI, But You Will Be Dimensionality-Reduced by 'Those Who Master AI'

marsbit22m ago

"I Don't Need a Better Model Anymore": A Panorama of AI Users Under a Reddit Hot Post

Titled "I Don't Need a Better Model Anymore": AI User Reactions on Reddit Anthropic recently released Claude Fable 5, its first publicly available 'Mythos'-tier model, achieving 80.3% on the SWE-Bench Pro benchmark and significantly outperforming its predecessor and competitors. However, a viral Reddit post titled "Claude Fable made me realize I don't need better models anymore" highlighted a growing user sentiment of "good enough." Top comments expressed "model fatigue," with users stating that earlier models like Opus 4.5/4.8 already sufficed for their workflows. High cost was a key concern, as Fable 5's API is nearly twice the price of Opus 4.8, with users questioning the return on investment and suggesting the field has hit a plateau. The most frequent complaint targeted Fable 5's stringent safety filters. Designed to intercept high-risk requests (e.g., cybersecurity), the system was perceived as overly conservative. Users reported frequent rejections for routine security-related tasks, leading to automatic fallbacks to the older Opus model. Paying users were particularly frustrated, feeling they paid a premium for a less usable product. Dissenting voices came from users with heavy, complex tasks. For workloads like high-energy physics simulations with thousands of code lines, Fable 5's improved long-context understanding and error detection represented a significant, worthwhile leap—described as moving from a "college player to an NBA starter." The debate underscores a divergence between benchmark performance and practical utility. For most users, current models meet their needs, making further advances relevant only for extreme use-cases. The discussion also raised concerns about a potential "Public AI Freeze," where the most powerful models (like the restricted Mythos 5) remain exclusive to enterprises and governments, while public offerings stagnate. The launch presents two report cards: one of technical excellence and another of user skepticism. Fable 5's ultimate reception may depend on Anthropic's ability to refine its safety filters and justify its cost for specialized, high-demand users.

marsbit29m ago

"I Don't Need a Better Model Anymore": A Panorama of AI Users Under a Reddit Hot Post

marsbit29m ago

When AI Traffic Surpasses Humans, How Do You Prove You're Human?

With AI-generated web traffic surpassing human activity, websites face a crisis as AI agents bypass ads, avoid clicks, and scrape data without generating revenue. This disrupts the ad-based internet economy, diverting traffic and reducing site visits. In response, sites are blocking AI crawlers and deploying traps like Cloudflare's "honeypot" pages. Traditional CAPTCHAs are now ineffective against advanced AI. The focus has shifted to behavioral biometrics—analyzing unique human patterns such as cursor movement, typing rhythm, and keystroke dynamics. Companies like IBM and BioCatch use this data to distinguish humans from bots, even detecting fraud through behavioral inconsistencies. Two competing approaches aim to verify human identity centrally. Sam Altman’s World (formerly Worldcoin) uses iris scanning to create unique credentials, though it faces privacy concerns and regulatory bans. Alternatively, cryptographic zero-knowledge proofs offer anonymous verification without revealing personal data, championed by Vitalik Buterin to avoid centralized surveillance. However, both systems have flaws. Centralized solutions risk biometric data misuse, while decentralized models may be exploited through identity rental markets in economically unequal regions. Despite challenges, the author favors cryptographic methods for preserving privacy over pervasive behavioral monitoring that permanently captures and controls personal biometric data.

marsbit38m ago

When AI Traffic Surpasses Humans, How Do You Prove You're Human?

marsbit38m ago

2026 Landscape of Decentralized AI: Why is Blockchain the Inevitable "Antidote" for AI?

**The 2026 Landscape of Decentralized AI: Why Blockchain is the "Cure" AI Cannot Ignore** Decentralized AI addresses fundamental bottlenecks of centralized AI: scarce and expensive computational resources, excessive control concentration, unverifiable model outputs, and increasing difficulty in acquiring training data due to privacy and regulation. Blockchain offers a path to make intelligence open, verifiable, and economically accessible. The technical stack comprises three layers: 1. **Applications & Services**: The main crypto use cases are "Agentic Finance" (converting natural language into on-chain actions) and "Agentic Payments" for machine-to-machine commerce. Projects like Giza, Infinity Labs, Coinvest AI, and x402 (handling 173M+ transactions) are key players. 2. **Middleware**: This coordination layer enables agents to discover, identify, and transact. Notable projects include Gokite AI (specialized L1), Virtuals (an OS for the agent economy), and especially Bittensor—a network of specialized subnets forming competitive AI micro-economies. 3. **Infrastructure**: The capital-intensive layer providing raw resources. It includes decentralized compute (Akash, Render, Aethir), verifiable inference (Venice AI, OpenGradient), distributed training (Prime Intellect, Templar AI), decentralized storage (Filecoin, Walrus), and privacy/verification layers (Nillion, Arcium, Phala Network) using technologies like ZKPs, MPC, and TEEs. The outlook for 2026-2027 indicates AI demand outpacing infrastructure, with AI agents as a primary growth engine. Computation is becoming an asset class, with on-chain markets as its financial layer. Tokenomics is emerging as a structural advantage for coordinating capital, compute, and data in decentralized AI networks. While still early—with adoption uneven and revenue often trailing token incentives—projects like Bittensor, NEAR, and Virtuals demonstrate a shift from speculative narrative to a new model for coordinating intelligence.

marsbit41m ago

2026 Landscape of Decentralized AI: Why is Blockchain the Inevitable "Antidote" for AI?

marsbit41m ago

a16z Crypto Partner: Cash Flow is the Moat

Cash Flow as the Moat: A Playbook for Crypto Founders Historically, the most enduring businesses have been built by positioning themselves within the "flow of funds"—facilitating the creation and transfer of value in a network and extracting a portion of it. Cryptocurrency is the first modern technology natively built for this purpose. For startups, failing to architect products and businesses to leverage these principles means missing a major opportunity. Blockchains are inherently network businesses. Each transaction settles on a shared ledger, and every new participant strengthens the underlying network for all. Well-designed network tokens amplify this by aligning users, developers, and validators around growing the network, with value flowing back to contributors in a transparent feedback loop. This model is not new; companies from railroads and Standard Oil to Google, Meta, and AWS have thrived by inserting themselves into critical flows of value (goods, attention, compute). Financial markets make it even clearer: firms like Visa and major market makers generate immense revenue not by predicting markets but by being in the path of transactions. The combination of fund flow and network effects creates one of the most durable business structures. The high margins in traditional finance (payments, custody, lending, FX) represent prime targets. Crypto founders have the opportunity to build the next version—programmable, instant, global, and natively in the flow of funds. The frontier extends beyond finance to areas like computing/GPUs, AI training data, energy, robotics, and space—markets without entrenched intermediaries, ripe for building new, efficient value rails on programmable infrastructure. Founders should ask: Are you in the flow of funds today? Does your revenue scale 10x with the value of activity on your platform? Where in your target market are profit margins highest relative to value created? The opportunity is clear: embed your startup into the new flows of value and let the network effects accumulate.

marsbit43m ago

a16z Crypto Partner: Cash Flow is the Moat

marsbit43m 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 S (S) are presented below.

活动图片