ChainCatcher news, the multi-asset liquidity center project Aster announced the launch of mining points acceleration and contract experience funds. Users who have traded on platforms such as Hyperliquid, Drift, and GMX in the past 30 days can visit the Aster event page to check their eligibility. Eligible users can receive up to 1.1x mining points acceleration and claim a contract experience fund equivalent to 100 USDT.Previous report, the multi-asset liquidity center project Aster announced on X that starting from April 10th, 00:00 (UTC), the Aster Pro mode has been launched. Users trading in Aster Pro mode can earn Rh Points.

ChainCatcher message, according to on-chain analyst Lookonchain monitoring, a trader (@izebel_eth) opened long positions in Bitcoin and Ethereum on the Hyperliquid trading platform yesterday.The trader opened a 20x leveraged long position in Bitcoin at a price of $75,511 and a 25x leveraged long position in Ethereum at a price of $1,428.86, currently accumulating an unrealized profit of approximately $1.17 million.

ChainCatcher news, according to SoSoValue data, Trump announced a suspension of tariffs and a reduction in tax rates for multiple countries. As a result, the cryptocurrency market rebounded across the board, with the crypto sector generally rising about 4% to 15% over 24 hours. Among them, the AI sector led with a rise of 15.82%, with Bittensor (TAO), Fetch.ai (FET), and Render (RENDER) increasing by 15.52%, 15.79%, and 16.71% respectively in 24 hours. Additionally, Ethereum (ETH) rose by 13.77%, breaking through the $1600 mark. Bitcoin (BTC) increased by 7.94%, briefly surpassing $83,000.It is worth mentioning that MAG7.ssi rose by 11.24%, DEFI.ssi rose by 15.92%, and MEME.ssi rose by 13.44%.In other sectors, the DeFi sector rose by 12.43% over 24 hours, with Ondo Finance (ONDO) increasing by 23.87%; the PayFi sector rose by 12.26%, with XRP increasing by 14.13%; the Meme sector rose by 11.87%, with Dogecoin (DOGE) rising by 12.48%; the Layer2 sector rose by 8.91%, with ex-MATIC (POL) increasing by 10.72%; the Layer1 sector rose by 8.52%, with Solana (SOL) and Cardano (ADA) rising by 12.72% and 12.56% respectively; the CeFi sector rose by 5.89%, with Hyperliquid (HYPE) increasing by 16.09%.Meanwhile, the cryptocurrency sector indices reflecting historical market performance show that the ssiAI, ssiDeFi, and ssiRWA indices rose by 16.27%, 13.79%, and 12.97% respectively over 24 hours.

ChainCatcher news, according to Lookonchain monitoring, a certain whale went long on Bitcoin with 40x leverage on Hyperliquid, gaining an unrealized profit of 4.27 million dollars. Just 11 hours ago, he closed his short position on Ethereum on MUX and switched to going long on Bitcoin, locking in a 6.16 million dollar profit and loss over 24 hours.

ChainCatcher news, according to Lookonchain monitoring, a certain smart money deposited 1.17 million USDC in Hyperliquid four months ago, and the current account position value has reached 8.85 million dollars, with every trade being profitable, achieving a win rate of 100%. This smart money has shorted XRP, BTC, and ETH, with an unrealized profit of 2.3 million dollars.

ChainCatcher news, according to Onchain Lens monitoring, an address associated with Mechanism Capital partner Andrew Kang has deposited 2.27 million USDC into Hyperliquid, going long on BTC with 40x leverage.

ChainCatcher news, according to Hyperrscan data, a giant whale with 50x leverage on Hyperliquid has closed its ETH long position and withdrawn 6,395,256.49 USDC back to Arbitrum, making a profit of 1.87 million dollars (initial amount 4.52 million dollars).

ChainCatcher news, according to Onchain Lens monitoring, a certain whale has just deposited 5 million USDC into Hyperliquid and established a BTC long position at a price of $77,231 with 20x leverage.

ChainCatcher news, Hypurrscan data shows that the 50x leveraged giant whale ETH long position on Hyperliquid has now realized a profit of 2.02 million USD.

ChainCatcher news, according to monitoring by Lookonchain, a certain whale deposited 4.5 million USDC into Hyperliquid and went long on ETH at a price of $1459 with 20x leverage, currently holding 47,253 ETH (approximately $69.5 million), with a liquidation price of $1391.7.

ChainCatcher news, according to on-chain analyst Yu Jin's monitoring, a whale with 50x leverage on Hyperliquid transferred 3 million USDC into Hyperliquid as margin 15 minutes ago, going long on 32,800 ETH at a price of $1,461.6, with a position value of $47.62 million and a liquidation price of $1,399.

ChainCatcher news, according to Onchain Lens monitoring, a whale deposited 2.4 million USDC into Hyperliquid to extend a 3x long position on ETH, currently facing a loss of 2.76 million dollars.

ChainCatcher message, Hyperliquid co-founder @chameleon_jeff responded on X to concerns that "the Hyperliquid protocol may suffer significant losses due to market manipulation":Hyperliquid's margin design strictly ensures the platform's solvency through mathematical mechanisms, with HLP's losses always limited to its own treasury, and the protocol's operation never relying on HLP------this feature existed prior to the JELLYJELLY incident. The newly added protective mechanisms after the incident only optimize HLP's loss resistance in backup liquidation, and the underlying architecture of the protocol has not changed. In the recent JELLYJELLY incident, an attacker attempted to manipulate HLP (liquidity provider pool) by establishing a massive long and short position on themselves. Although the unliquidated contract limit at that time allowed for the establishment of a position worth 4 million USDC, the logical flaw was that HLP used its entire fund balance as collateral for this liquidation. It should be clarified that the platform itself does not face solvency risks, but HLP did face excessive risk exposure due to market manipulation.Currently, HLP's liquidation component treasury has set a collateral limit, restricting potential losses through the backup liquidation mechanism. Hyperliquid still maintains its original operating mechanism, processing under-collateralized positions in the following order: 1) market liquidation 2) backup liquidation 3) automatic deleveraging (ADL). The current backup liquidation of HLP has added protective mechanisms by setting loss limits, making the cost of manipulating the mark price far exceed the limited gains that can be obtained from HLP.

ChainCatcher message, Arete Capital managing partner McKenna pointed out that based on the revenue generated from the current low trading volume, the Hyperliquid assistance fund is expected to take 4.93 years to purchase the entire Hyperliquid circulating supply. Currently, the fund holds 5.62% of the circulating supply and purchases about 140,000 HYPE daily.

According to ChainCatcher news, monitored by OnchainLens, 7 hours ago, a giant whale deposited 5 million USDC into HyperLiquid to increase its HYPE holdings.Currently, the whale holds 700,214 HYPE, worth 8.43 million dollars, facing a floating loss of 1.3 million dollars. The whale has also placed a sell order, planning to sell 170,234 HYPE at a price of 16 dollars.

ChainCatcher news, according to Blockworks, in light of the recent $13 million attack on Hyperliquid, some members of the Solana community have raised questions about whether Jupiter's JLP risk pool has similar vulnerabilities. In response, analysts believe that Jupiter has structural defense mechanisms that make it unlikely to face similar attacks.First, Jupiter only supports mainstream assets with ample liquidity, such as SOL, ETH, and wBTC, while Hyperliquid allows trading of tokens with lower liquidity (like JELLY), making it more susceptible to manipulation. Secondly, Hyperliquid relies on an internal order book for matching, allowing attackers to manipulate prices using limit orders, whereas Jupiter uses external oracles like Pyth to provide prices, making it difficult to influence market prices through a single platform.Additionally, Jupiter implements strict risk control mechanisms, with all trades directly undertaken by JLP, without involving secondary risk pools or human intervention, ensuring the stability of trade execution. Although JLP still needs to address risks such as market unilateral trends, it balances pool risks through dynamic adjustments of borrowing rates.