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Wall Street 'Withdraws' from Bitcoin Basis Arbitrage: CME Falls Out of Favor, the Golden Age of Arbitrage Comes to an End

Wall Street is retreating from the once-lucrative Bitcoin basis trade, as narrowing spreads between spot and futures prices have made the strategy barely profitable. The cash-and-carry trade, which involved buying Bitcoin spot (often via ETFs) and selling futures to capture the premium, has seen annualized returns drop to around 5%, down from nearly 17% a year ago, barely covering funding and execution costs. This compression has led to a significant shift in market structure: CME's Bitcoin futures open interest has fallen below Binance's for the first time since 2023, indicating a withdrawal of hedge funds and large US accounts from this specific arbitrage strategy. While CME was the preferred venue for this institutional trade, Binance's dominance in perpetual futures has remained steady. The approval of spot Bitcoin ETFs initially fueled the trade's popularity but also accelerated its decline by attracting capital that quickly eroded the arbitrage opportunity. The market is now maturing, with participants shifting from simple leveraged directional bets to using options, hedges, and expressing views through diverse instruments like ETFs. This increased efficiency has naturally narrowed price disparities between venues. As the era of easy, high returns from basis trading ends, participants are expected to seek more complex strategies in decentralized markets and other crypto assets.

marsbit01/22 11:34

Wall Street 'Withdraws' from Bitcoin Basis Arbitrage: CME Falls Out of Favor, the Golden Age of Arbitrage Comes to an End

marsbit01/22 11:34

Advancing MM 1: Market Maker Inventory Quoting System

"Attack of the MM 1: Market Maker Inventory Quoting System" by Dave explores why altcoin prices often move against retail traders immediately after their purchases, debunking the myth of intentional manipulation by "market manipulators." The article explains that this phenomenon is not due to malicious intent but is a result of automated market maker (MM) systems using the Avellaneda-Stoikov model for inventory-based pricing and protection against toxic order flow. When retail traders execute large buy orders, MMs sell, leading to a short inventory exposure. To mitigate risk, MMs adjust their strategies in two ways: 1. **Quote Skew**: They lower prices to attract sellers and discourage further buys, aiming to replenish inventory and protect their short position. 2. **Spread Widening**: They widen bid-ask spreads to reduce transaction probability and earn more spread profit to offset potential losses. The core mechanism involves the "Reservation Price," calculated as Mid Price − γ⋅q (where q is inventory and γ is risk aversion). Large retail orders disrupt inventory balance, causing MMs to adjust prices dynamically. Retail traders often face this due to their concentrated, unconcealed, and unhedged orders, especially in low-liquidity altcoins where their trades significantly impact pricing. The article concludes with a practical tip: instead of executing large orders at once, retail traders can break them into smaller, staggered orders to exploit MM pricing adjustments, achieving better average entry prices. A follow-up will discuss toxic order flow and order book dynamics.

深潮12/28 04:12

Advancing MM 1: Market Maker Inventory Quoting System

深潮12/28 04:12

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