Bitcoin Headed for First Monthly Loss in 6 Months

CoinDeskPublicado a 2023-05-31Actualizado a 2023-05-31

Resumen

Bitcoin (BTC) has regained some poise since last Thursday, but the cryptocurrency still appears on track for its first monthly loss since December.

Bitcoin (BTC) has regained some poise since last Thursday, but the cryptocurrency still appears on track for its first monthly loss since December.

The leading cryptocurrency by market value traded near $27,800 at press time, a 7.5% rise from lows under $25,900 registered last week. However, prices were still down about 5% for the month, the first monthly decline of the year (assuming, this loss is held through Wednesday's UTC close). Bitcoin has put in a positive performance in January, March and April and ended February on a flat note.

Against ether (ETH), bitcoin looked set for a monthly decline of nearly 7%, CoinDesk data show.

Bitcoin's dour monthly performance comes as bond traders have reinstated bets that the Federal Reserve (Fed) will keep interest rates elevated for longer in response to sticky inflation and a resilient labor market. Earlier, interest rate traders expected the Fed funds rate, the benchmark borrowing cost, to fall to 4.5% or lower by the end of 2023 from the current 5%. However, the market no longer foresees the Fed implementing rate cuts this year.

The renewed hawkish Fed bets have given a boost to the U.S. dollar this month, lifting the greenback by 2.7% against a basket of fiat currencies, including the euro. Bitcoin tends to move in the opposite direction of the dollar.

Capital has been leaving the crypto market since early last year. The trend has persevered this month, with the stablecoin market capitalization shrinking to a 20-month low of $130 billion. Stablecoins are digital assets with values pegged to an external reference like the U.S. dollar and have been widely used to fund purchases of other cryptocurrencies over the past three years.

"We can assume that the liquidity wave of lower inflation has now run its course and the market needs a new driver and theme to lift prices higher," Markus Thielen, head of research and strategy at crypto services provider Matrixport, said. "The tech sector tends to be correlated with BTC, but the former has found new life with the AI and Chat GPT revolution, which is not benefiting BTC yet."

Bitcoin has decoupled from Wall Street's technology-heavy index Nasdaq, which has risen nearly 8% this month.

Griffin Ardern, a volatility trader from crypto asset management firm Blofin, said the continued high-interest rate environment would keep the odds against bitcoin bulls.

"In a high-interest rate environment, high risk-free returns such as money market funds are more attractive to investors, which means the lack of liquidity in the crypto market continues," Ardern said.

Dick Lo, the founder and CEO of quant-driven crypto trading firm TDX, said, bitcoin's 4% rise on Sunday was a relief rally triggered by U.S. leaders announcing a provision deal to lift the $31.4 trillion debt limit hit in January and further gains may be hard to come by.

"The rebound we saw on Sunday night / Monday morning was very much a relief rally on the back of the U.S. debt ceiling package. The market will likely return its focus to the possibility of another 25 basis points interest rate hike at the June FOMC meeting and the potential liquidity drain as the Treasury needs to sell at least $500 billion in bills in the short-term to refill its cash position, which will weigh on risk assets," Lo said.

We see strong resistance on BTC at $28,500 with initial support seen at $27,350, followed by a potential retest of $26,200," Lo added.

Lecturas Relacionadas

Jensen Huang: Prompts are Becoming Obsolete, Loops are the New Paradigm

Jensen Huang, alongside AI leaders like Peter Norvig, Boris Cherny, and Andrew Ng, is advocating for a shift from "prompt engineering" to "loop engineering" as the new paradigm for AI development. Instead of manually crafting individual prompts, the focus is now on designing autonomous loops—systems where AI agents execute tasks, self-validate results, and iterate until completion without constant human oversight. A loop is a management framework that enables agents to operate independently. Key implementations are seen in Claude Code (with features like /loop, /goal, and /schedule) and OpenAI Codex, which employ multiple agents working in parallel within isolated environments. A core principle is the separation of roles: one agent (or model) performs the task, while an independent agent (or a smaller, separate model) validates the output to ensure objectivity. The article outlines a practical roadmap for implementing loops, starting with a "four-condition test" to assess suitability, building a minimal viable loop, and emphasizing critical pitfalls to avoid, such as lacking hard stop conditions or allowing loops to handle tasks requiring human judgment. This evolution is framed as the fourth major shift in AI interaction: from Prompt Engineering (crafting instructions) to Context Engineering (providing background information), then to Harness Engineering (building tool-enabled environments), and finally to Loop Engineering (creating self-sustaining systems). This progression reflects a consistent trend of increasing abstraction, moving human involvement from direct instruction to system design and rule-setting. The concept has academic roots in frameworks like ReAct, which formalized the "reason-act-observe" cycle. While loop engineering promises greater automation, experts caution about managing token costs and warn against outsourcing understanding—AI can assist, but deep problem comprehension remains essential.

marsbitHace 38 min(s)

Jensen Huang: Prompts are Becoming Obsolete, Loops are the New Paradigm

marsbitHace 38 min(s)

GPT Designs GPT

OpenAI has unveiled its first custom AI chip, Jalapeño, a move signaling a strategic shift beyond being a mere model company. While many see it as a challenge to NVIDIA, its core aim is to control the entire intelligent production pipeline—from models and chips to data centers and energy. The key driver is the evolving competitive landscape: model advantages are shrinking, while the computational gap in areas like cost-per-token, system throughput, and energy efficiency is becoming the true long-term barrier. Jalapeño is primarily an inference chip, targeting the massive and growing "inference tax"—the daily operational cost of generating tokens for services like ChatGPT and APIs. By designing its own hardware optimized for its specific workloads and future product roadmaps (even using AI to aid the chip design process), OpenAI aims to drastically reduce token generation costs and improve system efficiency. This creates a potential flywheel: better models help design better chips, which lower costs for running next-generation models, supporting more users and products, which in turn provides more data to refine future chips. The strategy mirrors Apple’s integrated approach, building a closed loop where hardware, software, and applications are co-optimized. In the long term, OpenAI is not trying to become the next NVIDIA (a supplier of "shovels" to all AI companies) but to own and operate the entire "mine"—selling the end product of intelligence itself. This move marks OpenAI's ambition to evolve from creating the smartest models to controlling the foundational infrastructure of AI production.

marsbitHace 1 hora(s)

GPT Designs GPT

marsbitHace 1 hora(s)

Ethereum Foundation Interim Executive Director Speaks Out: What Is Our Mission?

The Ethereum Foundation's core mission is to ensure Ethereum remains a truly permissionless, censorship-resistant, private, and open infrastructure for large-scale, sovereign coordination. The article clarifies the EF's focus and dismisses irrelevant objectives, such as pursuing institutional popularity or short-term speculation. Its core work centers on eliminating systemic weaknesses. This involves fortifying Ethereum across multiple layers—protocol, access, user, and institutional—against exploitation, control, or surveillance. Key initiatives include minimizing harmful MEV and preventing privileged control over transaction flow, making unconditional privacy a foundational default, ensuring staking remains permissionless and decentralized, and strengthening user-facing access points to uphold autonomy. Concurrently, the EF aims to seize strategic opportunities. These include leading the transition to post-quantum cryptography, achieving a fully verifiable protocol stack, establishing Ethereum as private digital cash, integrating user-owned AI agents with personal wallets, and demonstrating that trusted-neutral infrastructure can competitively handle disintermediated coordination at an institutional scale. The article also addresses recent organizational changes, stating that personnel departures were due to strategic realignment, role fit, or natural evolution. It clarifies the approach to spin-outs, emphasizing that external funding will be provided only for work critical to the EF's mission that reduces Ethereum's dependency without creating new risks or mission drift. Ultimately, the EF is committed to building an enduring, neutral system that reshapes global coordination, focusing relentlessly on the principles of censorship resistance, openness, privacy, and sovereignty (CROP).

链捕手Hace 1 hora(s)

Ethereum Foundation Interim Executive Director Speaks Out: What Is Our Mission?

链捕手Hace 1 hora(s)

Trading

Spot
Futuros
活动图片