发布: 2024/07/17 21:30 阅读: 393
Headline: Misaligned Leverage Pairs on Bitpanda Raise Concerns
标题:Bitpanda 的杠杆对错位引发担忧
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Top Dogecoin developer Mishaboar has alerted users of Bitpanda about discrepancies in leveraged pairs on the platform.
顶级狗狗币开发商 Mishaboar 已就平台上杠杆货币对的差异向 Bitpanda 用户发出警报。
Following a post from another user highlighting the issue, Mishaboar indicated that leverage causes, including DOGE pairs, may be underperforming due to problems with Bitpanda.
在另一位用户发帖强调该问题后,Mishaboar 表示,由于 Bitpanda 的问题,包括 DOGE 对在内的杠杆原因可能表现不佳。
"If you are playing with leverage on @Bitpanda, there is an ongoing issue with a misalignment between some of their leveraged pairs and the underlying assets' performance." - Mishaboar
“如果你在 @Bitpanda 上玩杠杆,那么他们的一些杠杆货币对与基础资产的表现之间存在着不一致的问题。” - 米沙布尔
Explanations reveal a mismatch on the platform. For instance, Dogecoin's real asset volatility is 20%, while Bitpanda's 2x trade offer is at 70%. Though Bitpanda has disabled the leveraged token, concerns remain about potential losses for users who liquidated due to the incident.
解释显示平台上存在不匹配问题。例如,狗狗币的实际资产波动率为 20%,而 Bitpanda 的 2 倍交易报价为 70%。尽管 Bitpanda 已禁用杠杆代币,但人们仍然担心因该事件而清算的用户可能遭受损失。
Trading resumed without addressing the issue or notifying users of potential challenges. However, U.Today observed a response from Bitpanda acknowledging the issue and working on a solution.
交易在没有解决问题或通知用户潜在挑战的情况下恢复了。然而,今日美国观察到 Bitpanda 的回应承认了这个问题并正在研究解决方案。
"We are aware of this issue and our team is doing all they can to fix it as soon as possible. Potential financial losses caused by this incident will be reimbursed by Bitpanda." - Bitpanda
“我们已经意识到这个问题,我们的团队正在尽一切努力尽快修复它。此次事件造成的潜在财务损失将由 Bitpanda 赔偿。” - 比特熊猫
Past incidents, such as a notable transfer of assets in 2023, highlight the need for proactive measures by Bitpanda. Tech experts emphasize that the platform should promptly address issues like the leveraged pairs to prevent user concerns and minimize the impact of such events.
过去的事件,例如 2023 年的一次重大资产转移,凸显了 Bitpanda 采取积极措施的必要性。技术专家强调,平台应及时解决杠杆货币对等问题,防止用户担忧,将此类事件的影响降至最低。