The Altcoin Vector #45

insights.glassnodePublished on 2026-03-12Last updated on 2026-03-12

Abstract

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Executive Summary

From Theory to Countdown: Google Sounds the Blockchain Quantum Resistance Alarm with Zero-Knowledge Proofs

An article discusses the significant threat quantum computing poses to blockchain and classical encryption systems, triggered by Google's recent research. By optimizing Shor's algorithm, Google reduced the logical qubits required to break 256-bit elliptic curve encryption from around 6,000 to just 1,200—slashing computational costs by 20 times. This advancement sets a potential countdown, with Google estimating 2029 as the deadline for upgrading to quantum-resistant cryptography. Both Bitcoin and Ethereum face severe risks. About 25-35% of Bitcoin addresses have exposed public keys, making them vulnerable to attacks, especially during transaction processing. Ethereum’s design exposes public keys upon first use, jeopardizing its entire network if signatures aren’t updated. Historical blockchain data remains permanently available for future quantum attacks. The solution lies in adopting post-quantum cryptography (PQC). Ethereum is already implementing account abstraction and PQC-based signatures, leveraging its upgradeable architecture. Bitcoin is considering BIP-360 to introduce quantum-resistant algorithms like FALCON or CRYSTALS-Dilithium, though consensus may delay action. Notably, Google used zero-knowledge proofs to disclose this threat responsibly, aiming to prevent panic. Collaboration with Ethereum Foundation researchers suggests抗量子 (quantum resistance) could become a major narrative, aligning with crypto’s cryptographic roots.

marsbit1m ago

From Theory to Countdown: Google Sounds the Blockchain Quantum Resistance Alarm with Zero-Knowledge Proofs

marsbit1m ago

Ripple Lands Major Korea Deal With Top Insurance Giant Kyobo

Ripple has partnered with Kyobo Life Insurance, one of Korea's largest insurers, to develop the country's first tokenized government bond settlement workflow on blockchain. The collaboration will utilize Ripple Custody to hold, transfer, and settle transactions within a regulated framework, aiming to replace manual process with on-chain execution that could compress the standard two-day settlement cycle to near real-time. This initiative is positioned as infrastructure for a broader institutional stack. Both companies aim to assess the technical and regulatory feasibility, reduce counterparty risk, and explore stablecoin-based payment rails for 24/7 transactions. Ripple described this as a strategic entry into Korea's institutional financial market and a signal that proven digital asset infrastructure is ready for deployment.

bitcoinist11m ago

Ripple Lands Major Korea Deal With Top Insurance Giant Kyobo

bitcoinist11m ago

Quantitative AI Trading Platform AlphaNet Raises $10M Seed Round Led by Joffre Capital

Quantitative AI trading platform AlphaNet has raised $10 million in a seed funding round led by Joffre Capital, with participation from Huashan Capital and an Asia-based quantitative trading consortium. The platform, which is preparing for a public launch, aims to level the playing field for retail investors by providing end-to-end automated trading access to institutional-grade quantitative strategies. Its offerings include a strategy marketplace, one-click deployment, and proprietary execution algorithms. Incubated by prop trading firm Tensor Investment, AlphaNet currently features over 30 strategies and plans to open its platform to other quant teams by the end of Q2. The funding brings operational expertise from Joffre Capital, scaling resources from Huashan, and additional strategies from the consortium.

TheNewsCrypto35m ago

Quantitative AI Trading Platform AlphaNet Raises $10M Seed Round Led by Joffre Capital

TheNewsCrypto35m ago

How is the 'Bottom Structure' of a Bear Market Formed, and Where Are We Now?

This article analyzes the formation of Bitcoin's bear market "bottom structure" by examining the relationship between cost basis and price action, particularly the behavior of short-term holders (STH). Historically, the cost basis of coins held for 1-3 months (1-3m_RP) has acted as a key resistance level during bear market rallies. This group's supply is often less committed; many entered the market expecting quick gains but were trapped. When the price rebounds to their break-even point, they tend to sell, creating resistance. Data shows that as of mid-April, the 1-3m_RP is approximately $75,400, a level Bitcoin is currently testing for the second time this cycle. The first test in mid-January failed, leading to a pullback. The author suggests a high probability of a similar outcome this time, as historical cycles show the second test rarely results in an immediate reversal. An alternative, less likely scenario is a break above this level, only to face stronger resistance at the broader STH-RP (average cost basis for all short-term holders) near $81,000, where a much larger supply of 2.31 million BTC resides. This could lead to price consolidation around the 1-3m_RP. A definitive bottom structure is confirmed only when the 1-3m_RP trend reverses from down to up, signaling a transition from a bear to a bull market. This process takes time, requiring patience to observe whether breakouts are genuine.

marsbit45m ago

How is the 'Bottom Structure' of a Bear Market Formed, and Where Are We Now?

marsbit45m ago

Bloomberg Terminal Earns Billions Annually from Data Intermediation, Now 6 Institutions Are Putting Data Directly On-Chain

Six major financial institutions — Fidelity, Euronext, Tradeweb, OTC Markets Group, Singapore Exchange (Forex), and Exchange Data International — have begun publishing proprietary market data directly on-chain via Pyth Network. This move bypasses traditional data intermediaries like Bloomberg, which has long dominated the financial data market with annual revenues of approximately $10 billion from its terminal business alone. The shift enables developers on over 100 blockchains to access high-quality, real-time financial data — including ETF valuations, fixed income data, FX rates, and OTC securities — without long-term contracts, steep fees, or proprietary hardware. This development is critical for the scalability of real-world asset (RWA) tokenization in DeFi, as reliable, institutional-grade data must be available on-chain before assets can be traded or used as collateral in decentralized protocols. Pyth’s model differs from earlier oracle solutions like Chainlink by sourcing data directly from institutional traders and exchanges rather than aggregating from third-party sources. While this approach offers higher speed and accuracy, it also involves a more centralized network of known publishers. The move challenges the decades-old monopoly of data middlemen and could significantly reduce barriers to entry for developers building DeFi products tied to traditional financial markets.

marsbit51m ago

Bloomberg Terminal Earns Billions Annually from Data Intermediation, Now 6 Institutions Are Putting Data Directly On-Chain

marsbit51m ago

Trading

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How to Buy AL

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7.4k Total ViewsPublished 2024.05.06Updated 2025.03.21

Discussions

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