# Slippage İlgili Makaleler

HTX Haber Merkezi, kripto endüstrisindeki piyasa trendleri, proje güncellemeleri, teknoloji gelişmeleri ve düzenleyici politikaları kapsayan "Slippage" hakkında en son makaleleri ve derinlemesine analizleri sunmaktadır.

Data Research: How Big Is the Liquidity Gap Between Hyperliquid and CME Crude Oil?

This analysis compares the liquidity and market structure of Hyperliquid's xyz:CL perpetual contract with CME's CLJ6 WTI crude oil futures. Key findings reveal Hyperliquid's absolute liquidity metrics are significantly lower than CME's, with its depth being less than 1% of CME's across various price points. The median trade size on Hyperliquid ($543) is 166 times smaller than on CME ($90,450), reflecting its crypto-native retail user base. While Hyperliquid exhibits high execution slippage for large orders (20x higher for a $1M order), its weekend trading activity shows a notable trend. Over three observed weekends, Hyperliquid's volume grew from $31M to over $1B, and its price discovery capability improved, closely aligning with CME's Monday opening prices by the third weekend. The increasing average trade size on weekends suggests growing use by traders seeking hedging exposure outside CME hours, not just speculators. The primary obstacle for Hyperliquid's expansion among institutional investors remains its high transaction costs for large orders. Without improving its capacity for institutional-sized trades, it risks remaining a supplementary weekend venue rather than a primary marketplace.

marsbit04/06 02:51

Data Research: How Big Is the Liquidity Gap Between Hyperliquid and CME Crude Oil?

marsbit04/06 02:51

Data Research: How Big Is the Liquidity Gap Between Hyperliquid and CME Crude Oil?

This analysis compares the liquidity and market structure of Hyperliquid's xyz:CL perpetual crude oil contract with CME's CLJ6 futures contract over a three-week period from late February to mid-March 2026. Key findings reveal a significant liquidity gap: Hyperliquid's average depth is less than 1% of CME's, with a 125x difference at the ±2 bps level. The median trade size on Hyperliquid ($543) is 166x smaller than on CME ($90,450), reflecting its crypto-native retail user base. For a $1M order, estimated slippage on Hyperliquid (15.4 bps) is approximately 20x higher than on CME (0.79 bps), indicating it currently lacks the capacity for institutional-sized orders. However, a notable trend emerged during weekends when CME is closed. Hyperliquid's weekend trading volume grew significantly over the three observed weekends, from $31M to over $1B, and the average trade size increased, suggesting use by traders seeking exposure or hedging ahead of Monday's open. While an initial "discovery boundary" mechanism limited price discovery on the first weekend, subsequent weekends showed Hyperliquid's price increasingly converged with CME's Monday opening price, demonstrating its evolving price discovery capabilities. The report concludes that while Hyperliquid's absolute liquidity metrics are not comparable to CME, its growing weekend activity shows promise. However, high transaction costs for large orders remain a major barrier to attracting institutional participants.

Odaily星球日报04/06 02:50

Data Research: How Big Is the Liquidity Gap Between Hyperliquid and CME Crude Oil?

Odaily星球日报04/06 02:50

The Most Expensive One-Click Confirmation in DeFi History: $50 Million Evaporated Instantly On-Chain

On March 12, an anonymous whale investor attempted to swap approximately $50.43 million worth of USDT for AAVE tokens through the Aave protocol's frontend interface. Due to extreme slippage in a low-liquidity pool, the user received only about 327 AAVE (worth roughly $36,000), resulting in an instantaneous loss of nearly $50 million. The transaction was executed via CoW Protocol, and multiple warnings about the high slippage risk were displayed and manually confirmed by the user on a mobile device. The incident, which quickly spread across social and mainstream media, highlights critical risks in DeFi: low liquidity for certain assets, the danger of large single orders, and the impact of MEV bots, which captured an estimated $10 million in arbitrage profits. Aave founder Stani Kulechov stated that the protocol functioned as designed and emphasized user responsibility, though the platform later refunded $600,000 in fees. This event underscores the importance of best practices such as splitting large orders, using limit orders, and verifying pool depth before executing trades. It also raises ongoing questions about interface design, systemic protections, and fairness in decentralized finance.

marsbit03/16 15:03

The Most Expensive One-Click Confirmation in DeFi History: $50 Million Evaporated Instantly On-Chain

marsbit03/16 15:03

50 Million USDT for 35,000 USD worth of AAVE: How Did the Disaster Happen? And Who Should We Blame?

In a catastrophic DeFi transaction, a user swapped 50.43 million aEthUSDT (Aave interest-bearing USDT) for only 327.24 aEthAAVE (worth ~$35,900), resulting in a near-total loss of value. The transaction was a collateral swap executed via CoW Protocol’s settlement system and Aave’s interface. The failure occurred due to a deeply flawed routing path: after redeeming USDT from Aave, the funds were routed through a highly liquid Uniswap V3 USDT/WETH pool (correctly executing the first swap). However, the entire amount of ~17,958 WETH was then sent to a tiny SushiSwap V2 AAVE/WETH pool with only ~331 AAVE and ~17.65 WETH in reserves. The massive trade drained 99.9% of the pool's AAVE, resulting in an effective execution price of ~$154,114 per AAVE—over 1000x worse than market price. Critical systemic failures were identified: 1. Aave’s interface requested a CoW quote without including critical hook metadata, leading to an inaccurate quote. 2. CoW’s solver competition logic deemed any quote with non-zero output and positive gas cost as "valid," with no sanity checks against market price or liquidity depth. 3. The routing algorithm modeled the tiny SushiSwap pool as a valid execution venue purely based on its constant-product formula, ignoring the economic absurdity. 4. Aave’s UI only provided a soft warning (a checkbox) for high price impact instead of a hard stop. The lost value was instantly arbitraged in the next block, benefiting MEV searchers and block builders. The core protocols (Aave, CoW Settlement, Uniswap, SushiSwap) functioned as coded. The primary blame lies with CoW’s inadequate routing quality controls and Aave’s flawed interface quote generation and weak risk safeguards.

Odaily星球日报03/13 12:47

50 Million USDT for 35,000 USD worth of AAVE: How Did the Disaster Happen? And Who Should We Blame?

Odaily星球日报03/13 12:47

AAVE Builds Momentum: Is a Move to $120 Within Reach or Will It Stall Here?

AAVE has shown significant volatility, recently experiencing sharp corrections from previous highs. A notable event involved a user attempting a $50 million USDT purchase of AAVE through the Aave interface, which resulted in extreme slippage and the user receiving only 324 AAVE. Aave plans to refund $600K in fees and is exploring stronger safeguards while maintaining DeFi's open nature. At the time of writing, AAVE is trading around $113.77 with a 5% gain and a 29.95% increase in daily trading volume, reaching $370.3 million. The market saw $550.60K in liquidations over the past 24 hours. Technical indicators suggest bullish potential: the RSI at 59.34 indicates moderate bullish momentum, the Bull Bear Power shows strong bullish dominance, and the MACD line above the signal line supports an uptrend. The Chaikin Money Flow at 0.12 indicates moderate buying pressure. Key resistance is at $115.48, with support at $111.26. A break above $117 could signal further gains, while a drop below $109 may indicate a bearish turn.

TheNewsCrypto03/13 08:30

AAVE Builds Momentum: Is a Move to $120 Within Reach or Will It Stall Here?

TheNewsCrypto03/13 08:30

$50 Million Gone with One 'Confirmation'! The Most Expensive Slip in DeFi History is Born

An anonymous crypto "whale" accidentally lost nearly $50 million in what is being called DeFi's most expensive "fat-finger" error. The user attempted to swap 50.43 million USDT for AAVE tokens via the Aave mobile app interface. Due to extremely low liquidity for AAVE tokens, the massive trade caused catastrophic slippage of over 99%, resulting in the user receiving only 324 AAVE (worth ~$36,000) instead of the intended amount. Aave's founder Stani Kulechov confirmed the user manually confirmed a risk warning checkbox on the high-slippage transaction before proceeding. The protocol functioned as designed, but the incident sparked intense debate: some argue users bear full responsibility in DeFi, while others criticize the UI/UX for inadequate safeguards for such large transactions. The wallet has been linked by analysts to a Bitcoin whale address holding ~80,000 BTC, suggesting the user may be a wealthy early adopter. Aave has pledged to refund the $600,000 in fees from the trade and improve safety measures like stricter slippage limits. The event highlights critical DeFi challenges: amplified risk from user errors, urgent need for better UX safeguards, MEV exploitation, and user education gaps.

比推03/13 00:38

$50 Million Gone with One 'Confirmation'! The Most Expensive Slip in DeFi History is Born

比推03/13 00:38

Vitalik Buterin Cashes Out $6.6 Million In Ether After Early Signals

Vitalik Buterin sold $6.6 million worth of Ether over three days, using the CoW Protocol to split the trades into smaller swaps to minimize market impact and avoid price slippage. Reports indicate the funds are part of a larger $45 million allocation earmarked for privacy-focused tools, open-source hardware, and verifiable software development. Buterin stated that the Ethereum Foundation is entering a period of mild austerity, and these resources are intended for long-term projects strengthening Ethereum's infrastructure. Despite occurring during a weak market, on-chain activity remains robust, highlighting a disconnect between network usage and current price action.

bitcoinist02/06 07:03

Vitalik Buterin Cashes Out $6.6 Million In Ether After Early Signals

bitcoinist02/06 07:03

When Big Money Seriously Enters the Market, How Does the Liquidity Bottleneck of RWA Manifest?

When large capital enters the market, the liquidity bottlenecks of Real-World Asset (RWA) tokenization become evident. Tokenized assets, such as gold (e.g., PAXG, XAUT) and stocks (e.g., TSLAx, NVDAx), suffer from significant slippage and shallow market depth compared to traditional markets like CME. For instance, a $4 million trade in tokenized gold can incur up to 150 basis points of slippage, while traditional markets show negligible impact even at $20 million. Decentralized exchanges (DEXs) exacerbate the issue, with trades sometimes facing premiums as high as 68% or persistent slippage of 25–50 basis points. Liquidity shortages also destabilize market structure, causing price volatility and cascading effects like cross-platform liquidations, as seen with PAXG on Binance triggering $9 million in liquidations on Hyperliquid. These problems stem from structural constraints: high minting/redemption fees, slow redemption cycles (T+1 to T+5), and capital inefficiencies for market makers. Without deep, reliable liquidity, tokenized assets struggle to scale, hindering their use as collateral or in DeFi. The solution requires a new market structure that integrates off-chain liquidity, eliminates redemption delays, and avoids fragmenting liquidity across platforms. Tokenization itself isn’t flawed, but the current market infrastructure fails to support it at scale.

比推01/16 15:07

When Big Money Seriously Enters the Market, How Does the Liquidity Bottleneck of RWA Manifest?

比推01/16 15:07

The Hidden Costs and Structural Dilemmas of Tokenized Assets

Tokenized assets face a critical structural challenge: a severe lack of deep, reliable on-chain liquidity. While tokenization promises to unlock trillions in traditional assets for DeFi, the reality is that markets for tokens like gold (PAXG, XAUT) and stocks (e.g., TSLAx, NVDAx) are extremely shallow compared to their traditional counterparts (e.g., CME). This results in exponentially higher slippage—often exceeding 100 basis points for trades over $4M—and makes large transactions costly or impossible. Fragile liquidity also leads to market instability, such as flash crashes on exchanges that trigger cascading liquidations across connected DeFi protocols. The root cause is a misalignment with market makers' incentives: high minting/redemption fees, slow settlement times, and capital lock-ups make providing liquidity for tokenized assets inefficient and risky. Without a new market structure that bridges on-chain access with off-chain liquidity depth, tokenization will remain stuck in a low-liquidity equilibrium, limiting its scalability and utility in DeFi.

marsbit01/16 06:51

The Hidden Costs and Structural Dilemmas of Tokenized Assets

marsbit01/16 06:51

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