May inflation data is about to be released. Which of BONK, PEPE and DOGE will become the dark horse in the market? Investors are waiting and watching!

The inflation data for May, which is about to be released, has undoubtedly become the key focus of the market. Investors are keeping a close eye on tokens such as BONK, PEPE, DOGE and BOME, trying to find potential buying opportunities in this decline.

Can BONK rebound from the bottom?

Recently, the price of BONK has fallen from the resistance level of $0.0000292 and is now approaching the support area of ​​$0.0000218. It is worth noting that the trend of BONK is quite similar to that of Solana (SOL). If BONK fails to rebound from the current support level, its price may further drop to $0.0000138. Faced with the risk of breaking the short-term upward trend, investors may consider setting a stop loss at the initial support level to capture any possible rebound opportunities.

Can PEPE stabilize its support?

Currently, PEPE is still holding on to the support level of $0.0000118, which shows that the currency has the potential to test its all-time high (ATH). If the market trend is favorable and the closing price can stabilize above $0.0000130, PEPE is expected to regain the important level of $0.0000147. Compared with BONK, the outlook for PEPE seems to be more optimistic.

Market Observation and Investment Insights

If BONK fails to rebound from $0.0000218, the price may fall further. If PEPE can successfully stand above $0.0000130 while maintaining the current support, the market performance is expected. If DOGE continues to lose ground, the price may fall to $0.0837, which is the starting point of its last sharp rise.

What is the future of DOGE?

Currently, the bulls of DOGE have failed to hold the key position of $0.153, which may lead to further testing of new lows of $0.124 and $0.116. If the downward trend continues, the price may even continue to fall to $0.0837, which is also the starting point of its last significant rise. Investors are closely watching market dynamics to find suitable entry opportunities.

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