First Encrypted Mempool + High-Performance BFT Integration Targets MEV: Fair-Order Trading For Crypto Exchanges Without Front-Running or Sandwich Attacks (2025) | Flash News Detail | Blockchain.News
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11/8/2025 1:27:00 AM

First Encrypted Mempool + High-Performance BFT Integration Targets MEV: Fair-Order Trading For Crypto Exchanges Without Front-Running or Sandwich Attacks (2025)

First Encrypted Mempool + High-Performance BFT Integration Targets MEV: Fair-Order Trading For Crypto Exchanges Without Front-Running or Sandwich Attacks (2025)

According to @AveryChing, @rex1fernando, @gvamsip, @xosmig, and @XiangZhuolun presented the first integration of encrypted mempools with a high-performance BFT protocol using next-gen batch encryption to block front-running and sandwich MEV on exchanges, enabling fair-order trading engines. Source: X post by @AveryChing on Nov 8, 2025. He adds that retail orders on apps like Robinhood often route to market makers such as Citadel via payment for order flow, and CEX users cannot verify whether exchanges front-run or reorder transactions, underscoring the fairness gap this tech aims to fix. Source: X post by @AveryChing on Nov 8, 2025. He states MEV-protective tech like this will become standard, indicating a roadmap for exchanges to adopt encrypted mempool and BFT-based ordering to protect traders from MEV extraction. Source: X post by @AveryChing on Nov 8, 2025.

Source

Analysis

In the rapidly evolving world of cryptocurrency trading, innovations that enhance fairness and security are capturing the attention of traders and investors alike. A recent discussion by blockchain expert Avery Ching highlights a groundbreaking approach to protecting users from manipulative practices such as front-running, sandwich attacks, and other forms of Maximal Extractable Value (MEV) exploitation. This novel concept integrates next-generation batch encryption with high-performance Byzantine Fault Tolerance (BFT) protocols, promising to revolutionize global trading engines. By encrypting mempools, this technology ensures that orders remain confidential until execution, preventing malicious actors from reordering transactions for profit. For crypto traders, this could mean a significant reduction in hidden risks when executing trades on decentralized exchanges, potentially boosting confidence in platforms built on blockchains like Aptos, where such integrations are being pioneered.

Understanding MEV Attacks and Their Impact on Crypto Trading

MEV attacks have long plagued the cryptocurrency market, where miners or validators can extract value by manipulating transaction orders in the mempool. Front-running occurs when a trader spots a large order and jumps ahead with their own trade, profiting from the anticipated price movement. Sandwich attacks involve placing orders before and after a target's transaction to capitalize on slippage. According to insights shared by Avery Ching, traditional stock trading platforms like Robinhood route orders through market makers such as Citadel, involving payment for order flow, which can introduce similar fairness issues. In centralized crypto exchanges, the opacity of order handling raises suspicions of internal front-running. This new integration of encrypted mempools with BFT protocols, presented by experts including Rex Fernando, Vamsi P, Xosmig, and Xiang Zhuolun, addresses these vulnerabilities head-on. For traders focusing on Ethereum or other blockchains prone to MEV, this development could shift market dynamics, encouraging more institutional participation and reducing volatility spikes caused by exploitative bots. As of recent market observations, Ethereum's gas fees and transaction volumes often spike during high MEV activity periods, impacting trading strategies like arbitrage and liquidity provision.

Trading Opportunities Arising from MEV-Protective Technologies

From a trading perspective, the adoption of MEV-protective tech could create new opportunities in the crypto space. Imagine trading pairs like ETH/USDT or BTC/USDT on exchanges that implement encrypted mempools; traders might experience tighter spreads and lower slippage, enhancing profitability in high-frequency trading setups. On-chain metrics, such as those tracked on platforms like Dune Analytics, show that MEV extraction on Ethereum alone amounted to billions in value over the past year, underscoring the scale of the problem. This innovation, as described in the presentation, could lead to increased trading volumes on secure blockchains, potentially driving up the value of native tokens. For instance, if Aptos integrates this fully, APT token holders might see bullish sentiment, with support levels around $5-$6 based on historical price data from 2023-2024. Traders should monitor resistance at $10, where previous rallies have stalled. Cross-market correlations are also key; positive developments in crypto fairness could spill over to stock markets, influencing fintech stocks like those of Robinhood (HOOD), which have shown volatility tied to crypto regulations. Institutional flows, as reported in recent filings, indicate growing interest in secure DeFi protocols, suggesting potential upside for diversified portfolios including AI-driven trading bots that adapt to these changes.

The broader implications for market sentiment are profound. In a landscape where trust is paramount, technologies that ensure transaction fairness could attract retail investors wary of centralized exchange scandals. Avery Ching's example of Robinhood's order flow practices parallels crypto's challenges, highlighting the need for transparency. As this MEV-protective tech becomes standard, as predicted, it may influence trading strategies across multiple pairs, including SOL/USDT on Solana, where similar MEV issues exist. On-chain data from sources like Solana's explorer reveal high transaction throughput but vulnerability to reordering attacks. Traders can leverage this by focusing on long-term positions in innovative blockchains, watching for volume surges post-announcement. For stock-crypto correlations, events like this could boost sentiment in AI and blockchain-related equities, such as NVIDIA (NVDA) for its role in high-performance computing underpinning BFT protocols. Overall, this positions savvy traders to capitalize on emerging trends, emphasizing risk management amid evolving market structures.

Looking ahead, the integration of such technologies underscores a shift toward more equitable trading environments. Crypto enthusiasts and stock traders alike should consider how these advancements mitigate risks, potentially leading to more stable price action. For example, in volatile periods, reduced MEV could prevent flash crashes, benefiting swing traders. Market indicators like the Crypto Fear and Greed Index often reflect sentiment dips during high MEV news, but positive innovations could push it toward greed territories. By prioritizing fairness, exchanges built on this tech might see increased liquidity, offering better entry points for trades. In summary, this development not only addresses current pain points but also opens doors for strategic trading in an increasingly interconnected financial ecosystem, blending crypto's innovation with stock market stability.

avery.apt

@AveryChing

Co-founder & CEO @ Aptos building a layer 1 for everyone - http://aptoslabs.com. Ex-Meta/Novi crypto platforms tech lead. Ex-Diem blockchain tech lead.