Saudi Arabia Stock Index Falls 4.6% in Early Trading, Bitcoin Declines

华尔街日报Опубліковано о 2026-03-01Востаннє оновлено о 2026-03-01

Анотація

The Saudi Arabian stock market index (TASI) fell 4.6% in early trading, while Bitcoin declined to $66,791 after briefly surpassing $68,000.

Saudi Arabia's stock market index (TASI) fell 4.6% in early trading, while Bitcoin pulled back to $66,791 after earlier breaking through $68,000.

Пов'язані питання

QWhat was the percentage decline in Saudi Arabia's Tadawul All Share Index (TASI) during early trading?

AThe Saudi Arabian Tadawul All Share Index (TASI) declined by 4.6% during early trading.

QTo what price did Bitcoin pull back to after reaching above $68,000?

ABitcoin pulled back to $66,791 after reaching above $68,000.

QWhich two major financial assets are mentioned as experiencing a downturn in the article?

AThe two major financial assets mentioned are the Saudi Arabian stock index (TASI) and Bitcoin.

QDid Bitcoin's price hit a high above $68,000 before the reported pullback?

AYes, Bitcoin's price had once risen above $68,000 before pulling back to $66,791.

QWhat is the full name of the Saudi stock index referred to by the ticker TASI?

AThe full name of TASI is the Tadawul All Share Index.

Пов'язані матеріали

Microsoft CEO: In the AI Era, How Do You Define a Company's Moat?

Microsoft CEO Satya Nadella argues that in the AI era, a company's true competitive edge, or "moat," is not determined by choosing the single most powerful model, but by its ability to build a continuous "learning loop." This system integrates and evolves by connecting human workflows, domain expertise, organizational judgment, and employee experience. He posits that future companies will accumulate two types of capital: Human Capital (employee knowledge, judgment, creativity) and "Token Capital" (a firm's own built and owned AI capabilities). Importantly, AI amplifies rather than devalues human capital. Human direction is essential to guide progress, as computational power alone is aimless. The core opportunity lies in creating a closed-loop system where human and token capital reinforce each other in a compound, self-improving cycle. A company must be able to preserve its unique institutional knowledge—its "company veteran" expertise—even if it switches underlying general-purpose AI models. This requires private evaluation benchmarks, reinforcement learning environments based on internal data, and queryable knowledge bases. Nadella warns against a future where economic value is concentrated by a few dominant models that commoditize entire industries' knowledge. Instead, the priority should be building a broad "frontier ecosystem" where every company, industry, and nation can own its learning loop. This allows organizations to retain control of their intellectual property, amplify employee capabilities, and ensure the economic value created by AI is captured within their own businesses and communities. True corporate sovereignty in the AI age comes from turning organizational knowledge into a compounding system that creates enduring, defensible value.

marsbit16 хв тому

Microsoft CEO: In the AI Era, How Do You Define a Company's Moat?

marsbit16 хв тому

ETFs Are Just the Ticket: The True Institutionalization of Bitcoin Is Happening Where You Can't See It

Beyond the Bitcoin ETF spotlight, a deeper institutionalization is underway, leveraging Bitcoin as a foundational financial primitive. Institutions are using Bitcoin for purposes long reserved for assets like U.S. Treasuries and gold: as collateral for loans, insurance reserves, and the backbone of rated bonds. Examples include a Barbados-based insurer capitalizing with $40M in Bitcoin reserves and Ledn's $188M securitization of Bitcoin-backed loans, which received the first-ever investment-grade rating (BBB-) from S&P for a digital asset-backed security. This structure was stress-tested during a 27% price drop in early 2026, triggering automatic liquidations that functioned as designed but revealed the systemic risk of synchronized selling across leveraged positions. Infrastructure is evolving to support this, with platforms like Anchorage Digital's Atlas network enabling secure, institutional-grade settlement and collateral management. Strategies like basis trades and corporate treasuries (exemplified by companies like MicroStrategy issuing billions in equity and debt to fund Bitcoin acquisitions) further integrate Bitcoin into financial mechanics. While ETFs solved "how to own" Bitcoin, these developments answer "what to do with it," embedding the asset into the working machinery of finance—as collateral upon which loans, derivatives, and structured products are built. The real, enduring institutional shift is happening in these largely invisible plumbing and financing systems.

marsbit22 хв тому

ETFs Are Just the Ticket: The True Institutionalization of Bitcoin Is Happening Where You Can't See It

marsbit22 хв тому

ZEC Co-Founder Responds to Orchard Vulnerability: No Signs of Theft, Orchard Pool to Be Sealed

ZEC Co-Founder Addresses Orchard Vulnerability: No Signs of Theft, Plans to Sunset Orchard Pool A security vulnerability was recently discovered in Zcash's Orchard shielded pool, raising key concerns. The primary questions are whether the flaw was exploited, if user funds are safe, whether users can verify the total ZEC supply, and if other similar vulnerabilities exist. Analysis suggests the vulnerability was likely not exploited prior to its discovery. It was found proactively by a researcher using specialized tools, not due to an active breach. The development team and mining pools acted quickly to contain the issue. Typical financially-motivated attacks would likely have left visible on-chain evidence, which has not been observed. User funds in Orchard are considered safe and should be recoverable, assuming no prior exploitation. If the flaw was never used, all legitimate funds can be withdrawn. The article outlines risks associated with moving funds to transparent addresses or other pools, but concludes that leaving assets in place is a reasonable option. Currently, users cannot independently verify that the total ZEC supply hasn't been inflated due to this bug. However, the planned Ironwood network upgrade is designed to resolve this. It will permanently close the Orchard pool to new deposits and internal transfers, allowing only withdrawals. This mechanism will cap total withdrawals at the amount of legitimately deposited funds, enabling anyone to cryptographically verify the supply post-upgrade. Multiple teams, including Shielded Labs, have conducted extensive audits focused on counterfeiting vulnerabilities, assisted by advanced AI tools. No additional flaws of this type have been found so far, increasing confidence that no other similar undisclosed vulnerabilities exist. In summary, evidence indicates the Orchard bug was probably not used, user funds are secure, and no other counterfeiting flaws are currently known. The upcoming Ironwood upgrade will restore users' ability to independently verify the total ZEC supply, closing this chapter.

Foresight News27 хв тому

ZEC Co-Founder Responds to Orchard Vulnerability: No Signs of Theft, Orchard Pool to Be Sealed

Foresight News27 хв тому

Microsoft Announces Commercial-Grade Quantum Computer to be Completed in Three Years: Will the Boots Land?

Microsoft announces plans to build a commercially viable quantum computer by 2029, a significant acceleration from the previous industry consensus of a decade. The breakthrough is fueled by their new Majorana 2 quantum chip, which boasts a record-breaking average qubit lifetime of 20 seconds—a 1,000-fold reliability improvement over its predecessor. This leap was achieved by leveraging topological qubits, a theoretically more stable technology using Majorana zero modes, and switching the core superconducting material from aluminum to lead. Crucially, Microsoft's "Discovery" agentic AI platform accelerated the R&D process. AI agents autonomously analyzed vast experimental data, optimized manufacturing parameters (like the lead alloy composition), and solved issues like "ghost noise," dramatically speeding up experimentation. While the 20-second coherence time is a landmark, challenges remain: scaling from 12 qubits to the millions needed for practical applications, managing compilation costs, and verifying quantum results. Skeptics call for peer-reviewed data, and questions persist about whether even 20 seconds is sufficient for complex algorithms like breaking RSA encryption. The race is on with other approaches (superconducting, trapped ions), but Microsoft's confidence in its topological roadmap signals a potential shortcut to a scalable quantum future.

marsbit46 хв тому

Microsoft Announces Commercial-Grade Quantum Computer to be Completed in Three Years: Will the Boots Land?

marsbit46 хв тому

Торгівля

Спот
Ф'ючерси
活动图片