qinbafrank
qinbafrank|12月 10, 2025 05:06
Robin Wood's recent attempt on transaction rates: Crypto asset trading adopts tiered pricing to balance trading volume and commission rates, predicting market pricing or upward adjustments (some competitors have already exceeded 1c commission rates). In early March of this year, Hood officially launched the "Intelligent Exchange Routing" feature as a new option for cryptocurrency trading. This feature directly introduces fee tiers based on 30 day trading volume, aiming to provide users with better executed prices while balancing the platform's volume and revenue. The official announcement emphasizes that as the trading volume increases, the fee rate will gradually decrease (for example, from an initial higher fee rate to 0.03% or lower), which is the core logic of "balancing trading volume and commission rate". In early December, the mechanism was further expanded to include high-volume traders in the United States, with the addition of 7 rate tiers, lowering the lowest to 0.03% (for the most active customers), and applied to altcoin perpetual futures (such as XRP, SOL, DOGE). This is seen as an optimization and reaffirmation of the original tiered pricing. CEO Vlad Tenev mentioned in an internal memo that this move aims to "attract more volume through low fees while maintaining sustainable commission rates". EU users also receive 7x leverage support, further strengthening the balance strategy. What is the impact? The background of tiered pricing is mainly to balance trading volume and commission rate in fierce market competition. High frequency traders (such as institutions or professional investors) are price sensitive, and tiered pricing can attract them by reducing transaction fees for large trades, increasing platform liquidity. Although it may cause a decrease in the revenue contributed by cryptocurrency trading in the short term, the proportion of revenue contributed by Hood's spot market is not the largest, but the impact is still significant. In the long run, it attracts high-frequency and large traders, enhances platform liquidity and market share, and indirectly drives revenue from other businesses such as forecasting the market.
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