Bear Market Playbook: Use Perpetual Futures to Turn Funding Into Liquidity
The article argues that many bear-market crypto projects lose liquidity and value through the common “token loan + call option” market-making contracts. It claims these deals embed an implicit derivative cost—estimated at roughly $300M–$800M per year industry-wide—while projects still receive excuses like “market conditions” and end up with weak order-book depth.
As an alternative, it proposes a dual-protocol approach built on perpetual futures (perps) funding mechanics. In the “reverse” leg, token holders collateralize tokens to borrow USDT, then open perp short positions so they can capture positive funding rates without selling their tokens. The “forward” leg enables market-making/shorting demand by borrowing tokens and selling them immediately (rather than holding), which injects directional short exposure into the spot market and prevents “funding self-loop.”
Key parameters highlighted: altcoin perp markets often run structurally positive funding (typical steady-state ~10–50% annualized; spikes 200%+ during stress), while engineers must use conservative LTV (often ~60–80%) to avoid liquidation—meaning the strategy may not be perfectly delta-neutral on day one.
For traders, the core implication is that if such mechanisms scale, they could redistribute funding and increase genuine two-sided positioning (short activity + holder yield) rather than relying on paid market-making. That may improve depth during weak sentiment phases, potentially smoothing volatility in the medium term—though near-term effects depend on adoption and pool liquidity.
Neutral
该文本质是“机制重构”的行业观点与方案:用永续合约资金费率把原本在 token loan + call option 模式中的隐性价值,重新导向持币人,并通过正向端的“借币立刻卖出”引入真实做空力量。若未来项目/做市商采用该结构,可能在熊市提升订单簿深度、缓解单边情绪下的流动性枯竭,因此从方向上偏向支撑市场结构。
但短期影响不确定:文章没有给出可验证的宏观成交数据或已被广泛采用的规模,且资金费率本身取决于当时市场情绪与 perp 供需;同时 LTV 约束与清算风险意味着效果可能在早期阶段不稳定。类似历史上 DeFi 的“机制替代”(如把传统做市/借贷需求迁移到协议端)通常是渐进式发生,初期更像是局部改善流动性,只有当资金池规模与参与者足够后才可能改变整体价格发现。
因此在缺乏落地规模证据的情况下,预期对市场的净影响更接近中性:潜在利好在于结构性增强两边头寸与资金费率传导,实际幅度仍取决于采用率与池子利用率。