If you’re only around 240 points, don’t wait for tomorrow’s old-coin airdrop. Just give up waiting for next Tuesday’s new-coin TMX.
It’s expected to be at 241 points, 60U or above. Getting one “old coin” is like getting two—why not?
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Look at Termmax’s multi-chain rollout: multiple chains go live synchronously with fixed-rate markets—this is a major highlight. People generally assume multi-chain just means risk is spread across different chains, and if something goes wrong, it’s only a localized issue on a single chain. When I dug deeper, I found a hazard that hardly anyone discusses.
The protocol will set a unified expiration time. On the same settlement day, across several chains—ETH, Arbitrum, BSC, and more—a large batch of positions will trigger expiration and settlement at the same time. Concentrated expirations on a single chain are already stressful; after stacking multiple chains, the risk is quietly amplified.
Settlement relies highly on price snapshots from oracles. As soon as the expiration moment hits, if there’s even a brief slowdown, data-source disruption, or a price jump, massive positions across multiple chains will synchronously read the abnormal price and batch-produce incorrect settlements.
Even if each chain’s contract itself has passed audits and each chain is deployed independently, they share the same expiration calendar and the same external oracle data source. The risk isn’t cross-chain contract “infection”; it’s that the external input goes wrong, and it strikes the entire market at once.
In a single-chain scenario, even if something goes wrong, the loss scale has some boundaries. But once you open up to multi-chain deployment, when an issue hits at the same time point, the affected users and liquidity pools can expand by multiples. Most analyses out there only talk about single-chain expiration-and-settlement risks. Very few consider multi-chain deployment together with synchronized expirations.
This doesn’t mean that this black swan is guaranteed to happen. Oracles are stable most of the time. But under extreme market conditions, network congestion and data-source jitter are inherently high-frequency events. The project’s narrative always emphasizes that multi-chain disperses risk, yet rarely mentions the other side of multi-chain: risk resonance.
Ordinary users are easily misled by the idea of “multi-chain dispersed deployment,” thinking that spreading funds means everything is fine. In reality, with the unified expiration mechanism, the destructive power of an external oracle failure is synchronously transmitted to markets on all chains. This part is the protocol’s hidden-tail risk—if you participate, you should have that clearly in mind.
#termmax @TermMax
It’s expected to be at 241 points, 60U or above. Getting one “old coin” is like getting two—why not?
…
Look at Termmax’s multi-chain rollout: multiple chains go live synchronously with fixed-rate markets—this is a major highlight. People generally assume multi-chain just means risk is spread across different chains, and if something goes wrong, it’s only a localized issue on a single chain. When I dug deeper, I found a hazard that hardly anyone discusses.
The protocol will set a unified expiration time. On the same settlement day, across several chains—ETH, Arbitrum, BSC, and more—a large batch of positions will trigger expiration and settlement at the same time. Concentrated expirations on a single chain are already stressful; after stacking multiple chains, the risk is quietly amplified.
Settlement relies highly on price snapshots from oracles. As soon as the expiration moment hits, if there’s even a brief slowdown, data-source disruption, or a price jump, massive positions across multiple chains will synchronously read the abnormal price and batch-produce incorrect settlements.
Even if each chain’s contract itself has passed audits and each chain is deployed independently, they share the same expiration calendar and the same external oracle data source. The risk isn’t cross-chain contract “infection”; it’s that the external input goes wrong, and it strikes the entire market at once.
In a single-chain scenario, even if something goes wrong, the loss scale has some boundaries. But once you open up to multi-chain deployment, when an issue hits at the same time point, the affected users and liquidity pools can expand by multiples. Most analyses out there only talk about single-chain expiration-and-settlement risks. Very few consider multi-chain deployment together with synchronized expirations.
This doesn’t mean that this black swan is guaranteed to happen. Oracles are stable most of the time. But under extreme market conditions, network congestion and data-source jitter are inherently high-frequency events. The project’s narrative always emphasizes that multi-chain disperses risk, yet rarely mentions the other side of multi-chain: risk resonance.
Ordinary users are easily misled by the idea of “multi-chain dispersed deployment,” thinking that spreading funds means everything is fine. In reality, with the unified expiration mechanism, the destructive power of an external oracle failure is synchronously transmitted to markets on all chains. This part is the protocol’s hidden-tail risk—if you participate, you should have that clearly in mind.
#termmax @TermMax