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$KEKIUS Defies Market Odds with a 160% Surge $KEKIUS Rockets 160% Amidst Market Downturn In an extraordinary turn of events, $KEKIUS, an Ethereum-based memecoin, has defied the general crypto market dip with an impressive 160% surge. This meteoric rise underscores the unique appeal of $KEKIUS, bolstered by strong technical patterns and compelling fundamentals. Technical Analysis The recent $KEKIUS rally is supported by robust technical indicators. The token’s price action exhibited a bullish symmetrical triangle pattern, breaking above this triangle’s resistance and signaling the likelihood of a continued uptrend. Preceding the surge, $KEKIUS formed a "three white crows" candlestick pattern, indicating strong bullish sentiment. A notable thrust in trading volume has further validated the breakout, with the token demonstrating strong momentum. However, caution is advised as the Relative Strength Index (RSI) currently sits at 87.53, indicating overbought conditions. A short-term correction may be imminent before the next leg up. The $KEKIUS Phenomenon 1. Market Capitalization: With a market cap exceeding $295 million, $KEKIUS has achieved this feat without major exchange listings, apart from BingX. This speaks volumes about its community-driven strength and viral appeal. 2. Elon Musk’s Endorsement: A key driver of $KEKIUS’s popularity is its association with Elon Musk. The billionaire’s interaction with the token’s memes, alongside Pepe Official’s response, has solidified its status as a rare and coveted asset in the meme coin space. 3. Community Resilience: Originally created by a developer with rug-pull intentions, the $KEKIUS community reclaimed the project, transforming it into a beacon of decentralized ownership and solidarity. Trading Activity and Market Metrics - All-Time High: $0.3014 (January 1, 2025) - Current Price: Approximately 4.3% below the ATH - All-Time Low: $0.0006923 (December 17, 2024) - 24-Hour Trading Volume: $163 million, a 142% increase from the previous day These metrics underscore the heightened market activity and investor interest in $KEKIUS. Risks and Opportunities - Opportunities: - With its breakout above the symmetrical triangle and strong community backing, $KEKIUS shows potential for further gains. - The absence of listings on major exchanges presents an untapped growth avenue. - Risks: - The overbought RSI suggests a potential short-term pullback. - As a memecoin, $KEKIUS is inherently volatile and influenced by speculative trading. What Lies Ahead for $KEKIUS? The $KEKIUS roadmap is community-driven, with aspirations of reaching new heights. Its alignment with meme culture and Elon Musk’s interactions have created a strong foundation for viral growth. The project’s commitment to transparency and community engagement further sets it apart in the crowded crypto landscape. Conclusion $KEKIUS’s recent performance is a testament to the power of community and the enduring appeal of memes in the digital age. While the technical and fundamental aspects point to continued bullish momentum, traders should exercise caution given the potential for short-term corrections. Whether $KEKIUS reaches the moon remains to be seen, but it has undeniably carved a unique niche in the crypto world.

🤖 Meta's Latest Reveal: Advanced Generative AI Meta has recently introduced two artificial intelligence models, Emu Video and Emu Edit. Emu Video specializes in generating brief 4-second videos from textual descriptions or initial images, while Emu Edit focuses on detailed image editing capabilities. Meta explains that Emu Video uses a bifurcated approach, initially generating images from text, followed by stitching these into a seamless video. Emu Edit, with its capabilities to modify backgrounds, change object colors, and introduce new elements, was developed using a specially created dataset of 10 million synthesized images. "Unlike many generative AI models today, Emu Edit precisely follows instructions, ensuring that pixels in the input image unrelated to the instructions remain untouched," the company stated. These new models are envisioned by developers as versatile tools for creativity, useful for artists, animators, and everyday users alike. However, at this stage, they represent an exploration of the possibilities in machine learning. Price Momentum META is trading near the top of its 52-week range and above its 200-day simple moving average. What does this mean? Investors have been pushing the share price higher, and the stock still appears to have upward momentum. This is a positive sign for the stock's future value.

Mitigate Nvidia risk with a value-chain exposure to AI The recent earnings announcement from Nvidia was historic. It’s not often that a firm shifts revenue guidance for an upcoming quarter from $7 billion to $11 billion. Nvidia’s total market capitalisation touched $1 trillion, something very few companies ever achieve1. An overzealous valuation? Professor Aswath Damodaran of New York University2, well known for his work on valuation, has said he cannot rationalise a $1 trillion valuation. Damodaran estimates Nvidia has a roughly 80% share of the artificial intelligence (AI) semiconductor market, which is around $25 billion today. Using bullish assumptions, which may not prove accurate, he looks to see growth in the AI semiconductor market to reach $350 billion within a decade. If Nvidia captured 100% future market share (a bold assumption), Damodaran’s valuation still resides about 20% below current prices. Nvidia is essentially a hardware company. One can see them try to ramp up software, but that is not the main driver. Other companies that achieved the $1 trillion market capitalisation level have software companies with network effects that draw vast numbers of end users into ecosystems. These software businesses have many ways to earn revenue from new products and services. Professor Damodaran’s valuations do not necessarily lead to share prices that immediately decline—but it may be difficult to keep the return momentum coming with equal fervor. Nvidia’s products do not operate in a vacuum WisdomTree spends a lot of time focusing on the AI megatrend. Nvidia’s products do not exist in a standalone fashion, as they are plugged into cabinets containing other hardware functioning in concert. If the AI semiconductor market grows, as many now expect, a lot of companies will benefit. Nvidia cannot, by itself, manufacture its semiconductors end-to-end. Taiwan Semiconductor Manufacturing Co. (TSMC) is responsible for this part of the puzzle. There is a whole semiconductor value chain, and each element captures a different-sized slice of the economic value pie. There are a range of companies associated with ‘generative AI’ over the period from the release of ChatGPT. Alphabet, Meta and Microsoft represent companies developing large language models (LLMs) to allow users to directly access generative AI. Meta was beaten down in 2022, due to disappointment with the firm’s metaverse efforts, but AI and cost cutting is helping them in 2023. Alphabet and Microsoft are at the centre of the generative AI battleground. Microsoft, so far, is winning on the cloud computing battle front with its Azure platform, whereas Alphabet’s Google is going to be very difficult to fend off in the internet search space. It’s interesting to compare Nvidia to Samsung and SK Hynix. Running AI models, especially large AI models, requires memory, and Samsung and SK Hynix are in the memory chip space. Excitement, at least in recent years, fluctuated in waves across the broad semiconductors market. Right now, during the explosion of generative AI, graphics processing units (GPUs), where Nvidia is the leader, are all the rage. Synopsys and TSMC represent notable, necessary value-chain plays on semiconductors. Nvidia chips cannot be created in a vacuum. Synopsys provides necessary electronic design automation capabilities, whereas TSMC is among the only companies with a manufacturing process advanced enough to fabricate Nvidia’s most advanced chips. Is AI over-hyped? The Gartner Hype cycle characterises one way to view new technologies. In the short term, excitement leads to money flows. Share prices and valuations benefit. At a certain point, a realisation sets in that true success, growth, and adoption takes time, so at this point there is usually a lot of selling and a tougher return environment. Finally, there is a recognition that pessimism is also not quite appropriate as the technology is still important and still being used, so growth rates and returns then tend to be more reasonable. AI is not any one single thing. Today we think of it as ChatGPT, LLMs or generative AI, but other disciplines and functionalities are still there, they just aren’t grabbing headlines in same way. ‘Generative AI’ and ‘foundation models’ might be nearing a peak of inflated expectations. Have you been excited about self-driving vehicles recently? No? Well, that could be part of the reason why ‘autonomous vehicles’ might be near the trough of disillusionment. Computer vision, which has been around for quite some time, is making its way up the so-called ‘slope of enlightenment’. The hype cycle is not an exact science. Any discipline on this graph could generate any sort of return, positive or negative, going forward. It’s simply a tool that helps us place all of these different topics on a broader continuum. The only thing we seem to know for sure is that all of the topics do not generate the same levels of excitement or pessimism all the time. Conclusion: it’s possible to mitigate single company risk by looking across the AI ecosystem The hype cycle illustration points out that the various applications of AI are at different points of adoption, excitement, and development. No one knows the future with certainty, but we believe there is growth occurring in all of these disciplines. The world is enthralled with generative AI now, but the world was similarly excited about autonomous vehicles a few years ago. Progress is occurring, even if we are not seeing it reflected in every headline. WisdomTree has a broad-based AI index to capture these AI trends. While Nvidia’s valuation is getting stretched, according to Professor Damodaran, WisdomTree’s AI index did not change much following the Nvidia surge. The entire ecosystem of AI defined by WisdomTree is not as beholden to the moves of any single company. AI has the potential to impact every industry which is why WisdomTree built a broad-based, ecosystem-oriented approach as opposed to concentrating on any single stock. Sources 1 Source: Bloomberg. 2 Source: Hough, Jack. “Nvidia Is the New Tesla, the ‘Dean of Valuation’ Says. It’s Time to Cash Out.” Barrons. May 31, 2023.