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Home / news / BingX user says $160,000 vanished in a 4-minute “asset transfer” scheme, then half was returned by the alleged trader
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BingX user says $160,000 vanished in a 4-minute “asset transfer” scheme, then half was returned by the alleged trader

A month after a BingX customer said $160,000 was drained from the exchange in four minutes through what he described as a trust-management-style transfer, the platform has not returned the funds. The twist is that the alleged trader later returned half of the money at BingX’s request, while his account remained active.

  1. The original incident, as described by the affected user, involved $160,000 moving out of the account in about 4 minutes. The full amount went to exchange fees, with half kept by BingX and the other half received by the trader who allegedly moved the funds to himself.
  2. Since then, BingX has not refunded the victim. But, according to the user, the alleged wrongdoer returned half of the money after BingX asked him to do so. The account is still up, still active, and still working.
  3. The bigger point for PSPs and compliance teams is scale: the victim says this was not an isolated case, but part of a large Telegram channel network using the same advertising pattern. He published a long read laying out the setup and describing what he calls a factory for funneling money to fake traders and the exchange.
  4. The situation has also drawn reactions from bloggers who had worked with BingX, including one recent post cited by the victim. The takeaway for operators is straightforward: if a platform’s referral or managed-trading flows can be used to route customer funds into fee-generating transfer loops, the anti-fraud and account-control questions become immediate, not theoretical.

For high-risk businesses, the operational detail matters more than the drama. If a customer can be moved into a “trust management” flow that ends with fees being extracted by the venue and a trader, the questions for the payment stack are about controls, account status, and whether the platform is detecting and shutting down the pattern fast enough.

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