DeFi’s Newest Asset Manager Hits $30M—Can It Find the Next Memecoin Gold Rush?
Move over, hedge funds—anonymous crypto whales are piling into a stealth DeFi platform that claims to sniff out the next PEPE before it moons. The pitch? Algorithmic ’degeneracy mining’ that scans 50+ chains for low-cap gems. Skeptics whisper it’s just a fancy vaporware tracker... until they see the AUM.
How it works: The protocol scrapes Telegram, Discord, and—yes—4chan for anomalous token chatter, then auto-deploys capital to early-stage pools. Early backers include three ’OG’ traders who nailed SHIB and DOGE. One even liquidated their Bored Ape to go all-in.
The catch? Like most crypto ’alpha’ tools, it’s 90% FOMO engine. But with $30M already locked, Wall Street’s quant bros are taking notes—between sips of their $28 artisanal cold brew.
Pepecoin: Can It Replicate Last Year’s Returns?
During the November 2024 rally, Pepecoin performed remarkably, gaining over 250% within a month. However, soon after this surge, it entered a bearish pattern and plummeted 80% over the duration of three months.
Having faced this brutal correction, Pepe finally broke its descent and bounced back last month from the $0.000005 support. The price has since recovered and is currently trading at $0.00001289. Due to this trend change, Pepecoin technicals now indicate increasing bullish pressure with an RSI of 62 and a fast-rising MACD.
Image Courtesy: TradingView
PEPE has a crucial resistance at $0.00001392, which is keeping the price from further increase. With the bullish pressure building steadily, Pepecoin holders are awaiting a breakout from this resistance, which WOULD lead to the price taking off into another massive rally and reclaiming previous highs.
Despite this, keeping in mind the macroeconomic events like the China-US trade war, meme coins like PEPE are more prone to volatility, and thus are currently risky investments. Due to this, many top traders are moving towards emerging projects with real-world utility, like Unilabs, which have more stable growth potential in the long term.
Unilabs (UNIL): Find The Next PEPE With AI Asset Manager
Pepecoin may be entering another rally, but the advanced AI DeFi manager, Unilabs, can help users identify better opportunities in time.
Unilabs is the first asset manager to automate the management of DeFi funds using machine learning algorithms and AI tools. It has four fund offerings: BTC fund, RWA fund, AI fund, and Mining fund, which users can invest in based on their investment strategy and interests.
These fund baskets total over $30 million in AUM and are curated by the proprietary AI that continuously updates the allocations based on real-time market data. The Unilabs team extensively analyzes each high-potential project screened by the AI, examining tokenomics, technology, and fundamentals to determine its allocation weight in the respective fund.
At the Core of the ecosystem is the native token, UNIL, which powers the infrastructure, allowing the ecosystem to conduct all these processes efficiently. Unilabs provides token holders with benefits such as staking rewards, governance rights, and exclusive access to premium research and whitelisted pools.
The best benefit of becoming a UNIL holder is the dividends and yield-sharing model that redistributes 30% of the platform’s profit among presale members through periodic dividends. Investors can purchase UNIL at $0.0051 per token for a limited time in stage two of the presale, increasing to $0.0062 in the third stage.
Conclusion
Pepecoin provided holders with a net 20x return on investment last year. However, as the crypto sentiment has shifted towards utility-driven projects with practical use cases, experts believe emerging projects like Unilabs can outshine PEPE in the future and potentially provide higher returns over the long term. Thanks to its uniqueness and high-demand use case, Unilabs is positioned to be among the top crypto solutions one day.
Find out more information about Unilabs (UNIL) by visiting the links below:
● Unilabs Website
● Unilabs Telegram
