# Сопутствующие статьи по теме Latency

Новостной центр HTX предлагает последние статьи и углубленный анализ по "Latency", охватывающие рыночные тренды, новости проектов, развитие технологий и политику регулирования в криптоиндустрии.

Data Reveals: Is Solana's Slower Transfer Speed Actually Caused by Validators 'Playing Games'?

Jito Labs launched the IBRL Explorer tool to analyze Solana validator behavior in block construction, revealing widespread "timing games" that slow down the network. The tool evaluates validators based on slot time (35%), even distribution of non-vote transactions (40%), and early vote processing (25%). Many validators engage in "late packing," where non-vote transactions are delayed until the final ticks of a slot, prioritizing profit maximization through MEV extraction (e.g., backrunning or sandwich attacks) at the expense of network latency and user experience. This disrupts Solana’s intended streaming design, increases execution variance, and exacerbates negative market structure effects like wider bid-ask spreads. A debate exists between Jito and Temporal (developer of Harmonic client) over what constitutes optimal block construction. Temporal argues IBRL scores favor Jito’s approach and misclassify Harmonic’s auction-based method, which batches transactions but claims continuous execution. Harmonic outperforms in per-block revenue but faces scrutiny over potential user trade-offs. Protocol-level solutions like Multi-Concurrent Proposers (MCP) aim to eliminate single-leader monopolies by enabling parallel block building, but depend on Alpenglow’s mainnet launch (est. 2026). Meanwhile, Jito’s BAM client, now adopted by ~12% of stake, offers auditable ordering logic to mitigate MEV externalities. The competition highlights tensions between validator profitability and network health.

比推01/08 18:21

Data Reveals: Is Solana's Slower Transfer Speed Actually Caused by Validators 'Playing Games'?

比推01/08 18:21

The Advancing MM 3: Statistical Edge and Signal Design

Title: The Attack of MM 3: Statistical Edge and Signal Design Author: Dave This article, the third in the "Attack of MM" series, explores how market makers (MMs) actively gain a "micro alpha" advantage through statistical edges and signal design, rather than just passively adjusting quotes. Micro alpha refers to a conditional probability shift in predicting short-term price movements (within ~100ms to ~10s), such as the direction of the next price change, mid-price drift, or trade asymmetry. It is not about forecasting trends but detecting probabilistic biases that allow MMs to act preemptively—buying before likely price increases, withdrawing bids before declines, or reducing exposure during risky periods. Key signals discussed include: - **Order Book Imbalance (OBI)**: Measures the normalized volume difference between buy and sell orders near current prices. - **Order Flow Imbalance (OFI)**: Tracks aggressive taker orders that drive price changes. - **Queue Dynamics**: Analyzes order queue behavior, including hidden orders (icebergs) and spoofing (fake large orders to manipulate perception). - **Cancel Ratio (CR)**: Indicates liquidity withdrawal rates, signaling market instability. The article emphasizes that speed is MMs' absolute advantage. Lower latency enables faster reaction to market events, facilitating latency arbitrage by executing orders before competitors. In crypto exchanges, some players even get priority execution rights, highlighting the importance of speed and access. Finally, the author notes the complexity of real-world MM strategies and hints at future topics like dynamic hedging and options.

深潮12/28 04:11

The Advancing MM 3: Statistical Edge and Signal Design

深潮12/28 04:11

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