Ceres Quinn exposes the "liquidity illusion" in crypto, where public order books and AMMs are disastrous for large trades, causing whales to lose 20% or more to self-inflicted slippage and front-running. The episode details why institutions and large traders must abandon public exchanges for private Request for Quote (RFQ) engines or OTC deals to protect their capital.
Key Highlights:
• Public order books and AMMs, while seemingly transparent, are inefficient and costly for large crypto trades due to significant slippage.
• High-frequency bots actively front-run large public orders, profiting from the "telegraphing" of intentions by whales.
• Professional traders avoid public exchanges for significant volume, opting for private Request for Quote (RFQ) engines or OTC deals.
• For institutions and funds, superior trade execution through private channels is critical for preserving returns and managing capital effectively.
Topics: Liquidity illusion, Order book, AMM, Slippage, Front-running, RFQ, OTC, Institutional trading, Crypto trading, High-frequency trading, Execution quality, DeFi
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