#现实世界资产RWA代币化 BNB Chain's performance report is indeed impressive—an average daily trading volume of 10.78 million transactions, 700 million unique addresses, and an RWA scale of $1.8 billion. For me, the most noteworthy aspect is the growth potential of RWA data.
Tokenization of real-world assets is becoming a new entry point for institutional investors, which means the participant structure in on-chain transactions is undergoing profound changes. In the past, our focus when copying trades was mainly on the technical and emotional aspects of pure traders, but as more institutional funds flow into the RWA sector, traditional high-frequency trading strategies may need adjustment.
This gives me a new idea: when choosing whom to copy, not only should we look at their historical win rate, but also observe their understanding of institutional liquidity and RWA-related transactions. A master who performs well in highly volatile pure coin trading may not necessarily adapt to the completely different liquidity characteristics of RWA assets.
The current challenge is how to manage position sizing effectively when copying trades—both by following seasoned traders in traditional markets and by appropriately allocating to those who have early insights into RWA and understand on-chain institutional fund movements. Risk is always present, but finding the right people to follow increases the probability of success.
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#现实世界资产RWA代币化 BNB Chain's performance report is indeed impressive—an average daily trading volume of 10.78 million transactions, 700 million unique addresses, and an RWA scale of $1.8 billion. For me, the most noteworthy aspect is the growth potential of RWA data.
Tokenization of real-world assets is becoming a new entry point for institutional investors, which means the participant structure in on-chain transactions is undergoing profound changes. In the past, our focus when copying trades was mainly on the technical and emotional aspects of pure traders, but as more institutional funds flow into the RWA sector, traditional high-frequency trading strategies may need adjustment.
This gives me a new idea: when choosing whom to copy, not only should we look at their historical win rate, but also observe their understanding of institutional liquidity and RWA-related transactions. A master who performs well in highly volatile pure coin trading may not necessarily adapt to the completely different liquidity characteristics of RWA assets.
The current challenge is how to manage position sizing effectively when copying trades—both by following seasoned traders in traditional markets and by appropriately allocating to those who have early insights into RWA and understand on-chain institutional fund movements. Risk is always present, but finding the right people to follow increases the probability of success.