Bitcoin Struggles To Breach $40,000 Level, Down 4% In Last 24 Hours

newsbtcОпубликовано 2022-04-24Обновлено 2022-04-25

Введение

Bitcoin isn’t the king of cryptocurrency for nothing. Most major cryptocurrencies have dipped incredibly low on Saturday, and that includes Bitcoin (BTC) but it doesn’t seem to budge. Bitcoin was...

Bitcoin isn’t the king of cryptocurrency for nothing. Most major cryptocurrencies have dipped incredibly low on Saturday, and that includes Bitcoin (BTC) but it doesn’t seem to budge.
Bitcoin was trading at $39,510 late Friday, down 4%, based on charts by Coingecko, which signals dangerous waters in trading. Traders have incurred monumental losses in equity with this trend.
It’s a consolation though that right now Bitcoin and other cryptocurrencies are frequently linked to stocks in terms of volatility in interest rates and market values.
The Big 4% Dip for Bitcoin
Four percent might be too small to matter but it does to Bitcoin and all other cryptocurrencies. With that big dip, investors and traders are increasingly aware of the risks and have decided to wait on the sidelines and see what happens next rather than risk severe losses along the way.
However, not taking action at the right time can hurt and decrease market returns.
Altcoins also went further down compared to Bitcoin. Fundamentally, it is typical for altcoins to underperform when pitted with other cryptocurrencies especially BTC because it has a higher risk profile in comparison to BTC.
Despite Dip, Bitcoin Remains Stable
On a more positive note, technical indicators have shown that Bitcoin is meant to be more stable at $38,500 even with the reduced price momentum. Traders are always on the lookout for unexpected spikes in prices so the downtrend with BTC may make it entirely painstaking for options traders to generate profit in these erratic price swings.

BTC total market cap at $755. billion on the weekend chart | Source: TradingView.com
Current trends circling the crypto and metaverse worlds can greatly impact how traders behave. For instance, when BitMEX co-founder Arthur Hayes said that there is an impending BTC price crash looking at around $30,000, there followed traders selling their BTC.
This caused traders to sell their May and June option calls like crazy causing the risk reversals to drop from -6% to about -10%  for both Bitcoin and Ethereum.
Still A Bullish Trend
With Bitcoin’s lowest low registering the past couple of days, this also highlights the minimized bearish sentiment on the side of options traders. Traders being cautious at this point in time are fairly predictable.
Overall, the global cryptocurrency market trading activities have been significantly reduced at $1.88 with very minimal gains seen in the last 24 hours. Even so, the total trading volume rose to around 18%.
While the very strict monetary policy has negatively impacted speculative assets like cryptocurrencies and stocks, the indicators clearly show that it will stay bullish for a little while.

Похожее

Near Returns to the AI Stage: Transformation into a Public Chain Due to 'Payroll Difficulties,' Agent and Privacy Emerge as New Growth Narratives

NEAR Returns to AI Origins: From Payroll Struggles to Blockchain, Now Focusing on AI Agents and Privacy NEAR Protocol's journey began not with grand blockchain ambitions, but from a practical hurdle: its AI startup founders, including Transformer paper co-author Illia Polosukhin, couldn't efficiently pay international developers in 2017. This led them to pivot and build a high-performance, scalable blockchain. After years navigating various crypto narratives like sharding and cross-chain interoperability, NEAR is now leveraging its AI roots to re-enter the AI arena. A key driver is its "NEAR Intents" layer, which abstracts complex cross-chain transactions. Users simply state their goal (e.g., swap BTC for ETH), and a solver network finds the optimal route. This system has processed over $20B in cross-chain volume, generating significant fee revenue. A major growth area is private transactions via "Confidential Intents/Swaps," which hide trade details until settlement to protect against MEV and front-running. Remarkably, private swaps recently accounted for over 40% of NEAR's transaction volume, highlighting strong demand but also potential regulatory scrutiny. With its AI-founder pedigree, NEAR is positioning itself at the intersection of blockchain, AI agents, and privacy, aiming to become infrastructure for the emerging agent economy while navigating the challenges of its rapid adoption.

marsbit1 ч. назад

Near Returns to the AI Stage: Transformation into a Public Chain Due to 'Payroll Difficulties,' Agent and Privacy Emerge as New Growth Narratives

marsbit1 ч. назад

From Ethereum to AI's 'CROPS': What Exactly is This Set of 'Slow Variables' That Vitalik Repeatedly Emphasizes?

In recent discussions, Vitalik Buterin has frequently emphasized the concept of "CROPS," a framework defining core values for Ethereum's development. CROPS stands for Censorship Resistance, Capture Resistance, Open Source, Privacy, and Security. Initially outlined in the Ethereum Foundation's "EF Mandate," it represents a commitment to user sovereignty, ensuring that the network resists external control, remains open, protects privacy, and prioritizes security. The relevance of CROPS extends beyond Ethereum's foundational principles, becoming crucial in the context of AI integration. As AI agents begin handling wallet operations and automated transactions, the risk increases that users may cede control over their digital assets, privacy, and intentions to centralized AI service providers. A "CROPS AI" would therefore emphasize local execution where possible, privacy-preserving remote model calls (e.g., using zero-knowledge proofs), and transparent, verifiable processes to maintain user agency. Vitalik highlights a significant convergence between "CROPS Ethereum access layer" and "CROPS AI." Both address the same fundamental challenge: how users can access powerful services—be it blockchain data via RPCs or AI models—without exposing sensitive information or relinquishing ultimate control. This intersection points toward a future digital entry point that is more private, secure, and user-controlled. Ultimately, CROPS is not merely an abstract ideal but a practical guidepost. It steers development—from protocol resilience and wallet design to AI agent safety—towards a future where users retain self-sovereignty even as digital systems grow more complex and powerful. In an era of accelerating AI adoption, these "slow variables" of censorship resistance, openness, privacy, and security may define Ethereum's enduring value.

marsbit1 ч. назад

From Ethereum to AI's 'CROPS': What Exactly is This Set of 'Slow Variables' That Vitalik Repeatedly Emphasizes?

marsbit1 ч. назад

Zcash Bug Could Have Minted Unlimited ZEC Undetected

A critical vulnerability in Zcash's Orchard shielded pool, discovered by researcher Taylor Hornby on May 29, 2026, could have allowed an attacker to create an unlimited amount of undetectable counterfeit ZEC. The flaw, involving an under-constrained element in the Orchard circuit, existed from the pool's 2022 activation until an emergency fix was deployed by June 2, 2026. Hornby identified the bug using AI-assisted auditing tools and confirmed its exploitability in a test environment. Due to Orchard's privacy features, which hide transaction amounts and history, there is no cryptographic way to prove whether the vulnerability was exploited before the fix. While Shielded Labs assesses prior exploitation as unlikely, this uncertainty has sparked a debate on proving supply integrity in privacy-preserving systems. In response, Shielded Labs and other developers are exploring a network upgrade, potentially involving a new shielded pool and formal verification of the circuit rules to prevent future vulnerabilities and allow verification of the ZEC supply's integrity. ZEC's price fell nearly 45% following the disclosure.

bitcoinist1 ч. назад

Zcash Bug Could Have Minted Unlimited ZEC Undetected

bitcoinist1 ч. назад

Silicon Valley 'Startup Guru' Steve Hoffman: Web3 + AI Could Be a Trap

Silicon Valley investor and "Godfather of Startups" Steve Hoffman warns that combining Web3 with AI is likely a trap, not a promising venture. In an interview, Hoffman argues that while AI is a foundational technology touching all industries, Web3 adds complexity, friction, and regulatory risk without solving mainstream consumer or business needs. He advises founders to focus on deep, specialized applications where startups can out-iterate giants, rather than on generic features easily replicated by large tech companies. Hoffman observes that Silicon Valley will lead foundational AI research, while China excels at rapid, large-scale application and commercialization, particularly in robotics. He stresses that AI-driven autonomous agents capable of collaborative, multi-step tasks are 2-4 years away, which will cause significant job displacement. The solution is not to slow AI but to redesign business models around human-AI collaboration and reform social systems like education and retraining. For startups, Hoffman recommends focusing on vertical, expertise-heavy domains to build defensibility. He sees major opportunities in AI fraud detection and cybersecurity. Key founder mindsets include systemic thinking over feature-focus, relentless customer centricity, building adaptive teams, and deeply understanding AI's capabilities and limits. Hoffman is also leading a non-profit initiative to establish university centers aimed at training future leaders in responsible, human-value-aligned AI innovation.

marsbit2 ч. назад

Silicon Valley 'Startup Guru' Steve Hoffman: Web3 + AI Could Be a Trap

marsbit2 ч. назад

Token Inefficient, Economy Tokenless

The article "Tokens Aren't Economical, Economics Aren't Tokenized" analyzes a pivotal shift in the AI industry from a technology-driven narrative to one dominated by capital efficiency. It highlights two concurrent trends: a severe capital shortage due to the exorbitant and recurring costs of compute (e.g., OpenAI's high burn rate) and a wave of corporate spin-offs where major tech companies are separating their AI units (like Kuaishou's Kling and Baidu's Kunlunxin). The core argument is that AI's "anti-internet" business model, where user growth increases costs rather than profits, has created a disconnect between high valuations and actual cash flow. Spin-offs address this by allowing AI assets to be valued independently. Within a parent company, they are seen as cost centers, but as standalone entities, they are priced based on their growth potential and scarcity in the primary market, leading to massive valuation premiums (e.g., Kling's estimated value tripling post-spin-off). The industry is at an inflection point, moving from "model worship" to "value realization." The competition is evolving from a pure compute (GPU) race to a broader focus on systemic efficiency and full-stack engineering (involving CPUs and orchestration) to achieve viable commercialization. The year 2026 is framed as a critical moment where the industry must definitively answer how to economically translate AI capability into tangible business value, reshaping the sector's future power structure.

marsbit3 ч. назад

Token Inefficient, Economy Tokenless

marsbit3 ч. назад

Торговля

Спот
Фьючерсы
活动图片

Популярные категорииright-arrow

Популярные тегиright-arrow