Chainlink, Chainalysis partner to automate onchain compliance

The post Here is What Every Investor Should Do in a Crypto Bear Market appeared on BitcoinEthereumNews.com. When prices start to crater, crowds of traders run for the hills in fear, selling into a market bottom. But history has also shown that, painful as they are, downturns in crypto can be among the richest moments for those who know what they are doing. But unlike traditional markets, crypto never sleeps and trades off narratives, as well as moves right now on innovation, or news around the world. Which is why bear markets are so volatile — and also a time when they can be fertile ground for disciplined investors who are ready rather than panicked. In past cycles, the money managers who took this longer-term approach rather than chasing quick rebounds tended to make the biggest gains when the bull market returned. Against that kind of backdrop, the humpbacked migration-type of big-game whale behavior, like seen on MAGACOIN FINANCE, is a signal that pro money has already been quietly positioning for what’s upcoming, regardless of whether retail follows their tempo or not.  Focus on Fundamentals Bear markets separate the wheat from the chaff, revealing who is genuinely building utility and who was just hype. Investors would do well to monitor developer activity, real-world applications and active partnerships along with them. Strongly established, tech-backed cryptocurrencies with active communities have the best chances of weathering a storm and also making it against the upcoming bull cycle.  Accumulate Gradually Finding the exact bottom is nearly impossible. Instead of waiting for the “perfect” entry, strategies like dollar-cost averaging (DCA) allow steady accumulation over time. This approach lowers the emotional pressure of market timing and builds exposure at more favorable prices, preparing portfolios for recovery when optimism returns. Diversify Wisely Focusing on one token is exhilarating when the market is booming, but it can also be destructive during down cycles. Holding a…

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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