TLDR Bitcoin leads with institutional ETF inflows creating steady demand from asset managers and treasury departments Ethereum serves as the primary settlement layer for DeFi applications and tokenization with layer-2 networks scaling capacity Solana delivers fast transactions for consumer applications with growing user activity and real revenue streams Chainlink connects blockchains to traditional systems through [...] The post Top Crypto to Buy in November, According to ChatGPT appeared first on Blockonomi.TLDR Bitcoin leads with institutional ETF inflows creating steady demand from asset managers and treasury departments Ethereum serves as the primary settlement layer for DeFi applications and tokenization with layer-2 networks scaling capacity Solana delivers fast transactions for consumer applications with growing user activity and real revenue streams Chainlink connects blockchains to traditional systems through [...] The post Top Crypto to Buy in November, According to ChatGPT appeared first on Blockonomi.

Top Crypto to Buy in November, According to ChatGPT

2025/11/03 22:29

TLDR

  • Bitcoin leads with institutional ETF inflows creating steady demand from asset managers and treasury departments
  • Ethereum serves as the primary settlement layer for DeFi applications and tokenization with layer-2 networks scaling capacity
  • Solana delivers fast transactions for consumer applications with growing user activity and real revenue streams
  • Chainlink connects blockchains to traditional systems through oracle services supporting tokenization infrastructure
  • Sui emerges as a high-speed layer-1 platform with expanding DeFi protocols and developer-friendly tools

An investment framework for November 2025 identifies five cryptocurrencies serving different portfolio functions. The approach balances institutional assets, infrastructure plays, and growth opportunities across the crypto market. Each asset addresses a specific role within a diversified crypto portfolio.

Bitcoin: Institutional Demand Driver

Bitcoin continues attracting institutional capital through exchange-traded fund products. Asset managers and corporate treasuries use ETFs to gain Bitcoin exposure. This creates buying pressure during market uptrends and support during downturns.

Bitcoin (BTC) PriceBitcoin (BTC) Price

The strategy recommends accumulating Bitcoin during price pullbacks. Macroeconomic events can trigger short-term volatility. However, the long-term institutional bid remains the strongest support factor for Bitcoin prices.

Bitcoin functions as the first purchase during risk-on market conditions. During risk-off periods, institutional holders typically sell Bitcoin last. This pattern establishes Bitcoin as the market’s primary risk indicator.

Ethereum: Settlement Layer Foundation

Ethereum operates as the primary settlement network for decentralized finance protocols. Tokenization pilots from traditional financial firms run on Ethereum infrastructure. Layer-2 scaling networks handle transaction overflow while the main chain processes final settlements.

Ethereum (ETH) PriceEthereum (ETH) Price

Enterprise adoption continues because compliance teams can evaluate Ethereum’s security model. The network’s technical roadmap focuses on reducing fees and improving transaction speed. Development activity remains concentrated on Ethereum compared to competing platforms.

The analysis recommends buying Ethereum during quiet market periods rather than chasing rallies. The asset provides exposure to DeFi growth without betting on individual protocols. Financial institutions can explain Ethereum infrastructure to their risk committees more easily than newer platforms.

Solana: Consumer Application Network

Solana has established itself beyond basic transaction speed metrics. The network hosts consumer-facing applications generating recurring users and protocol revenue. Payment experiments and client upgrades ship on regular schedules.

User activity data shows consistent growth across Solana applications. The network combines speed with practical consumer use cases. This positions Solana as a growth allocation within crypto portfolios.

The platform moved from being known as a fast layer-1 to hosting applications that feel instant to end users. Real revenue generation separates Solana from chains with high transaction counts but limited economic activity.

Chainlink: Oracle Infrastructure

Chainlink provides oracle infrastructure connecting blockchain networks to external data sources. The service verifies information for smart contracts and secures tokenized asset reserves. Tokenization projects across multiple chains use Chainlink’s data feeds.

Revenue for Chainlink comes from services across many protocols rather than dependence on single applications. This creates diversified exposure to blockchain adoption trends. The oracle network supports cross-chain communication as different blockchains interact.

As tokenization moves from press releases to production systems, middleware becomes more important. Chainlink operates as infrastructure supporting multiple blockchains. This positioning reduces risk compared to betting on a single platform winning market share.

Sui: Emerging Platform Play

Sui represents a newer layer-1 blockchain with fast transaction finality. Developer tools on Sui aim for ease of use compared to older platforms. The DeFi ecosystem continues expanding with new protocol launches each month.

Network activity metrics and total value locked have trended upward. Token unlock schedules create periodic selling pressure. The recommendation involves scaled purchases rather than large single positions.

The upside case depends on continued application launches and liquidity spreading across protocols. Developer adoption metrics remain the key indicator for Sui’s growth trajectory. Fast finality and friendly development environments attract builders from other ecosystems.

Final Thoughts

Portfolio construction treats Bitcoin and Ethereum as core holdings capturing 50-60% of total allocation. Solana receives 15-20% for growth exposure to consumer applications. Chainlink takes 10-15% as an infrastructure hedge across multiple chains. Sui occupies 5-10% for asymmetric upside potential based on developer momentum.

The post Top Crypto to Buy in November, According to ChatGPT appeared first on Blockonomi.

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Preliminary analysis of the Balancer V2 attack, which resulted in a loss of $120 million.

Preliminary analysis of the Balancer V2 attack, which resulted in a loss of $120 million.

On November 3, the Balancer V2 protocol and its fork projects were attacked on multiple chains, resulting in a serious loss of more than $120 million. BlockSec issued an early warning at the first opportunity [1] and gave a preliminary analysis conclusion [2]. This was a highly complex attack. Our preliminary analysis showed that the root cause was that the attacker manipulated the invariant, thereby distorting the calculation of the price of BPT (Balancer Pool Token) -- that is, the LP token of Balancer Pool -- so that it could profit in a stable pool through a batchSwap operation. Background Information 1. Scaling and Rounding To standardize the decimal places of different tokens, the Balancer contract will: upscale: Upscales the balance and amount to a uniform internal precision before performing the calculation; downscale: Reduces the result to its original precision and performs directional rounding (e.g., inputs are usually rounded up to ensure the pool is not under-filled; output paths are often truncated downwards). Conclusion: Within the same transaction, the asymmetrical rounding direction used in different stages can lead to a systematic slight deviation when executed repeatedly in very small steps. 2. Prices of D and BPT The Balancer V2 protocol’s Composable Stable Pool[3] and the fork protocol were affected by this attack. Stable Pool is used for assets that are expected to maintain a close 1:1 exchange ratio (or be exchanged at a known exchange rate), allowing large exchanges without causing significant price shocks, thereby greatly improving the efficiency of capital utilization between similar or related assets. The pool uses the Stable Math (a Curve-based StableSwap model), where the invariant D represents the pool's "virtual total value". The approximate price of BPT (Pool's LP Token) is: The formula above shows that if D is made smaller on paper (even if no funds are actually withdrawn), the price of BPT will be cheaper. BTP represents the pool share and is used to calculate how many pool reserves can be obtained when withdrawing liquidity. Therefore, if an attacker can obtain more BPT, they can profit when withdrawing liquidity. Attack Analysis Taking an attack transaction on Arbitrum as an example, the batchSwap operation can be divided into three stages: Phase 1: The attacker redeems BPT for the underlying asset to precisely adjust the balance of one of the tokens (cbETH) to a critical point (amount = 9) for rounding. This step sets the stage for the precision loss in the next phase. Phase Two: The attacker uses a carefully crafted quantity (= 8) to swap between another underlying asset (wstETH) and cbETH. Due to rounding down when scaling the token quantity, the calculated Δx is slightly smaller (from 8.918 to 8), causing Δy to be underestimated and the invariant D (derived from Curve's StableSwap model) to be smaller. Since BPT price = D / totalSupply, the BPT price is artificially suppressed. Phase 3: The attackers reverse-swap the underlying assets back to BPT, restoring the balance within the pool while profiting from the depressed price of BPT—acquiring more BPT tokens. Finally, the attacker used another profitable transaction to withdraw liquidity, thereby using the extra BPT to acquire other underlying assets (cbETH and wstETH) in the Pool and thus profit. Attacking the transaction: https://app.blocksec.com/explorer/tx/arbitrum/0x7da32ebc615d0f29a24cacf9d18254bea3a2c730084c690ee40238b1d8b55773 Profitable trades: https://app.blocksec.com/explorer/tx/arbitrum/0x4e5be713d986bcf4afb2ba7362525622acf9c95310bd77cd5911e7ef12d871a9 Reference: [1]https://x.com/Phalcon_xyz/status/1985262010347696312 [2]https://x.com/Phalcon_xyz/status/1985302779263643915 [3]https://docs-v2.balancer.fi/concepts/pools/composable-stable.html
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