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Gate Reached 8.1% of RWA Perp Volume in August Gate cleared $64.8B of RWA perp volume in August, taking 8.1% of the market, up from 2.6% in June. That ranked first in terms of growth and third among CEXs. The increase built steadily through the summer. Weekly volume rose from

In August, the cryptocurrency exchange Gate processed $64.8 billion in real-world asset perpetual trading volume, capturing 8.1% of the market, up from 2.6% in June. This growth ranked first among exchanges and placed Gate third among centralized exchanges.

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What happened

In August, the cryptocurrency exchange Gate processed $64.8 billion in real-world asset perpetual trading volume, capturing 8.1% of the market, up from 2.6% in June. This growth ranked first among exchanges and placed Gate third among centralized exchanges.

Confirmed

Global impact / market context

Gate's rising share in real-world asset perpetuals, which are contracts tied to assets like bonds or real estate, may attract more traders and fees, potentially boosting its revenue and competitive position against larger exchanges.

Analyst inference

The steady increase through summer suggests growing demand for real-world asset trading. If Gate continues gaining share, it could pressure rivals to cut fees or expand offerings, possibly reshaping how investors access these tokenized assets.

Analyst inference

What to watch

  1. Watch whether Gate's weekly trading volume continues rising from its summer levels, as the article reports it increased steadily, which could signal sustained momentum into autumn. Confirmed
  2. Investors might consider how Gate's growth in real-world asset perp volume could influence its fee revenue and whether the exchange invests more in this area, potentially affecting its market standing. Proposed
  3. If Gate maintains its market share, other exchanges may respond by boosting their own real-world asset offerings, leading to more competitive pricing for traders and broader adoption of these contracts. Analyst inference

Affected assets

  • RWA — Real World AI

Evidence