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Meta and Spotify Criticize EU’s AI Decisions Stock up 3.53%On Thursday, Meta (NASDAQ: NASDAQ:META ), along with Spotify and several other tech companies, voiced strong criticisms against the European Union’s approach to data privacy and artificial intelligence (AI) regulation. In an open letter, these firms, along with researchers and industry bodies, claimed that the EU's decision-making has become "fragmented and inconsistent," warning that Europe risks falling behind in the global AI race. The Regulatory Clash: Meta and GDPR Tensions Meta (NASDAQ: NASDAQ:META ), which owns Facebook, Instagram, and WhatsApp, has been at the center of data privacy controversies in Europe, especially under the General Data Protection Regulation (GDPR). Recently, Meta (NASDAQ: NASDAQ:META ) halted its plans to collect data from European users to train its AI models due to pressure from privacy regulators. This followed a record-breaking fine of over one billion euros for breaching privacy rules. The company, along with other tech giants, has delayed the release of AI products in the European market, seeking clarity on legal and regulatory frameworks. For instance, Meta delayed the launch of its Twitter alternative, Threads, in the EU, while Google has also held back on AI tool rollouts in the region. The open letter signed by Meta, Spotify, and others calls for "harmonized, consistent, quick, and clear decisions" from data privacy regulators to enable European data to be used in AI training. The companies argue that without a coherent regulatory framework, the EU could lose its competitive edge in the global AI landscape, falling behind regions like the U.S. and China, which have been advancing rapidly in the field. Meta’s AI Ambitions and Strategic Moves Meta’s criticisms of the EU regulations come at a time when the company is heavily investing in AI technologies to enhance its social media platforms and introduce new products. AI is at the heart of Meta’s push toward the metaverse and other cutting-edge innovations. The company’s reluctance to release certain AI products in Europe is a direct result of the regulatory uncertainty, which hampers its ability to fully capitalize on its technological advancements. With the EU’s AI Act coming into force this year, it aims to curb potential abuses in AI usage, but this stringent regulation may slow down innovation and delay product launches in the region. Meta and other tech giants believe that clearer rules will help unlock the potential of AI while protecting user privacy. Technical Outlook: A Bullish Meta Stock Poised for Continued Growth From a technical perspective, Meta’s stock ( NASDAQ:META ) has been on a stellar upward trend since November 2022, and it doesn't show signs of slowing down. As of the time of writing, the stock is up 3.66% and has entered overbought territory with an RSI (Relative Strength Index) of 70.54. This indicates that the stock may be poised for a temporary cool-off. The stock's rise has been bolstered by broader market optimism, including the recent decision by the Federal Reserve to cut interest rates. This move is expected to benefit the tech sector, with Meta standing to gain significantly. With lower borrowing costs, tech companies like Meta (NASDAQ: NASDAQ:META ) can continue their aggressive expansion into AI and metaverse-related technologies. Meta’s stock (NASDAQ: NASDAQ:META ) also exhibits a gap-up pattern that hasn’t been filled, suggesting a potential correction or consolidation period. Additionally, the stock has been consolidating since February 2024, indicating a potential bullish continuation pattern. However, with the RSI in overbought territory, investors should watch for a short-term pullback to cool off the stock before resuming its upward trajectory. Meta’s AI Potential Amid Regulatory Uncertainty Meta (NASDAQ: NASDAQ:META ) is navigating a complex regulatory environment in the EU while continuing to make strides in AI and technological innovation. Despite the challenges posed by GDPR and the AI Act, Meta remains well-positioned for long-term growth, with its stock reflecting strong momentum. However, short-term volatility due to regulatory decisions and technical factors may present buying opportunities for investors. As Meta (NASDAQ: NASDAQ:META ) continues to push the envelope in AI and the metaverse, the company’s future success will largely depend on its ability to navigate these regulatory waters while maintaining its innovation edge.
NASDAQ:METALong
by DEXWireNews
The Sleeping Giant Gearing Up for Its Next MoveEthereum, often said to be the destined "Nasdaq of Blockchains", has been quietly preparing for its next big move. Known for snoozing until it catches up, Ethereum is now front and center with the recent approval of an Ethereum ETF. This development adds yet another pillar of strength to its already powerful ecosystem, making Ethereum’s rise inevitable. WHOEVER CROSSES OUT ETHEREUM IS GRAVELY MISTAKEN. While Solana and other competitors are trying to close the gap, Ethereum holds undeniable advantages that make it the leader in blockchain security and decentralization. Crypto is all about safety, and Ethereum’s proven resilience and robust infrastructure offer just that. 💡 Ethereum vs Solana: Security: Ethereum’s Proof of Stake (PoS) is more battle-tested than Solana’s hybrid model, offering greater decentralization. Developer Network: Ethereum has the largest development ecosystem, meaning quicker solutions, better scalability, and broader dApp integration. DeFi and NFTs: Ethereum dominates both DeFi and NFT markets, further cementing its role as the go-to blockchain for real-world utility. Solana may be faster, but it has faced network issues, while Ethereum’s network remains consistently more secure and widely adopted. Whoever bets against Ethereum is missing the big picture. 📊 Technical Outlook: Support: $1,180 Resistance: $4,881 (mid-term), $6,443 (Primary Target) Ethereum is currently consolidating near support, but a move toward $6,443 could be in the cards as we see broader adoption and the ETF driving institutional investment. 🔥 Why Now is the Time to Buy: With Ethereum ETF approval, mainstream adoption is likely to surge, making Ethereum an even stronger bet in the crypto space. If Ethereum’s rise itself doesn’t excite you, the fact that Ethereum-built projects like CRGPT are also poised for success gives investors multiple ways to benefit from the blockchain’s growing power. ⚠️ Final Thoughts: Ethereum is the backbone of decentralized applications and smart contracts. Its growing importance in the crypto space means investors who get in now could see massive returns. Don’t sleep on Ethereum—it may snooze, but when it wakes, it surges. Combine that with Ethereum-based projects like CRGPT, and you’ve got a powerful investment strategy in the making. 🚀 Next Stop: $6,443 and Beyond 🔮 The future is bright for Ethereum and the Ethereum ecosystem, and you can be part of it. 10,364$ would be the price of Ethereum when in the future it meets today's Bitcoin marketcap. (when and if but to me is just a matter of 'when'!) One Love, The FXPROFESSOR 💙 Such a rise still feels boring for you? Consider AI-powered project built and quoted on Ethereum like CRGPT
BITSTAMP:ETHUSDLong
by FX_Professor
CryptoGPT: Unleashing AI in Crypto Trading CryptoGPT is gearing up for the release of its revolutionary Global Platform of Trading (GPT) , offering a unique opportunity for early investors to benefit from a market cap of just $350K, with $35M—a potential 100x return- seem like a reasonable first target for an AI project so well purposed for Crypto trading. Ethereum & CRGPT: As CRGPT is quoted on Ethereum, the potential rise of Ethereum could fuel AI gains. Ethereum's strong network and ecosystem, backed by a fresh ETF approval mean investors can benefit from both Ethereum’s climb and CRGPT’s rapid expansion. At this stage both ETH and CRGPT seem like a potential bargain. This could be an ideal moment to consider buying Ethereum and leveraging it within one of the most promising AI + Crypto projects on the market. Key Milestones & Vision: AI-Driven Trading: Seamless integration with exchanges like Binance as well as Metamask New Team & Enhanced Vision: After overcoming early challenges, a revitalized team is pushing the project forward. Platform Launch Imminent: Backed by cutting-edge AI to scale the trading experience. Low Market Cap At this low market cap, CRGPT seems massively undervalued. As the platform launches, the deflationary tokenomics (buyback & burn) will decrease supply and increase demand, pushing up token value. Trading is rewarded in this ecosystem and holding CRGPT unlocks AI tools for trading into the new age. 🌟 Why CRGPT is Set to Thrive: Deflationary Model: Token burn will reduce supply while demand surges. Real-World Utility: Premium features, rewards, and AI-driven tools. My personal $35M first Target: A highly achievable milestone, which means 100x potential for early adopters. Before the Platform and new website Launch: The rise of Ethereum combined with CRGPT’s launch makes this potential a perfect time to enter the market, with upside potential from both, a new AI platform and website coming up and knowing the previous success of the price reaching almost 2$ ATHs. To all who believe in AI, blockchain, and the next wave of crypto innovation, this could be our moment to make the best out of a promising AI project built on Ethereum. One Love, The FXPROFESSOR 💙
UNISWAP:CRGPTWETH_0FA0AF.USDLong
by FX_Professor
1
Oracle Corporation | ORCL & Ai If there is one person that you can compare it with Tony Stark aka IRON MAN is Larry Ellison the ruthless entrepreneur who is born to win and be the number 1. Since the close of trading Friday, Ellison’s net worth has pumped 8 billion dollar to reach $ 206 billion Oracle’s stock has reached new highs following its earnings report last week, which exceeded expectations and raised its revenue forecast for fiscal 2026. Orcl have risen 20% this month and If this upward trend holds, it would mark their best performance since October 2022, when the stock jumped 28%, and the second best month since October 2002, nearly two decades ago. The company’s stock success is partly driven by its involvement in the booming artificial intelligence sector. Ellison, Oracle’s founder since 1977, mentioned in last week’s earnings call that the company is building data centers to meet the growing demand for generative AI. “We are literally building the smallest, most portable, most affordable cloud data centers all the way up to 200 megawatt data centers, ideal for training very large language models and keeping them up to date,” Larry said during the call also he recently mentioned that Elon Musk and I ‘begged’ Jensen Huang for GPUs over dinner!We need you to take more of our money please!! It went ok. I mean, it worked! Oracle also announced last week a partnership with Amazon’s cloud computing division to run its database services on dedicated hardware. Over the past year, it has formed similar alliances with Microsoft and Google, two other major cloud infrastructure providers Oracle's cloud services are a key driver of their success, with revenue from this division growing 21% year over year, reaching $5.6 billion in quarterly earnings Oracle is becoming a crucial provider, acting like a foundational layer for AI-focused companies. Their database systems are now critical to supporting businesses like OpenAI, AWS, and Google Cloud in building the infrastructure for future AI advancements. Despite AWS and Google Cloud being direct competitors, Oracle’s software remains essential to AI’s future. Oracle's technology plays a foundational role, much like GPUs have in AI development. As companies seek efficient cloud-database solutions for AI workloads, Oracle is well-positioned to fulfill this demand. Considering their strong Q1 performance and the central role of their database software in this field, I now view Oracle as a strong buy. The company's AI-powered cloud solutions, strategic partnerships, and growing database market make their technology indispensable for the future of AI Oracle’s fiscal Q1 for FY 2025 exceeded expectations, with non GAAP earnings per share (EPS) of $1.39, surpassing estimates by $0.06, and revenue hitting $13.3 billion, outperforming projections by $60 million. The cloud segment, which includes their AI database software, remains a significant growth driver, generating $5.6 billion in revenue. Most of Oracle’s revenue came from the Americas, contributing $8.3 billion, a 6.9% year-over-year increase. The AI revolution, gaining momentum in the US, aligns with their strong revenue growth in this region. During the Q1 earnings call, management emphasized their expanded partnerships with major tech companies like Google Cloud (Alphabet Inc) and AWS (Amazon), which are notable given that they are also competitors. Oracle highlighted its success in the AI training space, pointing to the construction of large data centers equipped with ultra-high-performance RDMA networks and 32,000-node NVIDIA GPU clusters. In the EMEA region, crucial to Oracle’s growth due to rising demand for cloud infrastructure and AI solutions among European enterprises and governments (sovereign AI), the company reported $3.3 billion in revenue. Oracle’s earnings per share aka EPS is projected to grow at a compound annual rate of 13.5% for FY 2025, increasing to 14.41% in FY 2026, and continuing to compound at a modest double-digit rate in the coming years. While these projections show strong potential for Oracle to be a compounder, I believe they may be somewhat conservative. The company’s remaining performance obligations (RPO) jumped 53% year-over-year to $99 billion by the end of the first fiscal quarter, indicating that their pipeline of signed work is growing faster than revenue. Once Oracle scales its solutions and workforce to match this RPO growth, we could see both revenue and EPS accelerate further. In fact, while Oracle’s forward revenue growth is projected at just 8.86% for the next 12 months, their backlog is growing by over 50%. This suggests a notable gap between revenue expectations and actual demand. I believe the current revenue growth projections are too low, and once revised upward, they could become a key growth catalyst for the company. As for Oracle’s valuation, its forward price-to-earnings (P/E) ratio stands at 24.74, which is just 6.76% above the sector median of 23.17. However, given Oracle’s growth potential, I think it warrants a P/E ratio closer to 30.12, which is roughly 30% above the sector median. This would imply an additional 21.75% upside for the stock, excluding dividends. With a forward P/E ratio only slightly above the sector median, despite Oracle’s impressive growth, the company’s performance suggests the stock should be trading at a higher valuation. Larry Ellison is the man that I always can trust his vision and always bullish on his spirit and his ambitious. Oracle expanding influence in AI, coupled with robust revenue growth, positions the stock for significant upside. AI is like a modern day Gold Rush, and Oracle, much like GPU makers, is providing the essential tools the "pickaxe" for AI companies so That’s a space I’m eager to invest in the chart looks insane and if there will be pullback I consider it as a buy opportunity
NYSE:ORCLLong
by moonypto
Big CCD turnaround after new CEO moves HQ to London? September marked the start of experienced and proven Boris Bohrer-Bilowitzki as new CEO for Concordium. He immediately announced major plans and started by moving the HQ to London. The company is gaining momentum in the current AI trend. Concordium positions itself at the heart of AI innovation and digital twin creation. Concordium's Web3ID emerges as a pivotal tool for AI companies, with accountability and transparency at its core. It is packed with ideas and partnerships with institutions and companies in the pipeline. So. Could the current double bottom mark the start of an (explosive) upward trend (like the IH&S)? The R&R makes me pay attention here!
Long
by JS_Rocket
1
Why Large Language Models Struggle with Financial Analysis.Large language models revolutionized areas where text generation, analysis, and interpretation were applied. They perform fabulously with volumes of textual data by drawing logical and interesting inferences from such data. But it is precisely when these models are tasked with the analysis of numerical, or any other, more-complex mathematical relationships that are inevitable in the world of financial analysis that obvious limitations start to appear. Let's break it down in simpler terms. Problem in Math and Numerical Data Now, imagine a very complicated mathematical formula, with hundreds of variables involved. All ChatGPT would actually do, if you asked it to solve this, is not really a calculation in the truest sense; it would be an educated guess based on the patterns it learned from training. That could be used to predict, for example, after reading through several thousand symbols, that the most probable digit after the equals sign is 4, based on statistical probability, but not because there's a good deal of serious mathematical reason for it. This, in short, is a consequence of the fact indicated above, namely that LLMs are created to predict patterns in a language rather than solve equations or carry out logical reasoning through problems. To put it better, consider the difference between an English major and a math major: the English major can read and understand text very well, but if you hand him a complicated derivative problem, he's likely to make an educated guess and check it with a numerical solver, rather than actually solve it step by step. That is precisely how ChatGPT and similar models tackle a math problem. They just haven't had the underlying training in how to reason through numbers in the way a mathematics major would do. Financial Analysis and Applying It Okay, so why does this matter for financial analysis? Suppose you were engaging in some financial analytics on the performance of a stock based on two major data sets: 1) a corpus of tweets about the company and 2) movements of the stock. ChatGPT would be great at doing some sentiment analysis on tweets. This is able to scan through thousands of tweets and provide a sentiment score, telling if the public opinion about the company is positive, negative, or neutral. Since text understanding is one of the major functionalities of LLMs, it is possible to effectively conduct the latter task. It gets a bit more challenging when you want it to take a decision based on numerical data. For example, you might ask, "Given the above sentiment scores across tweets and additional data on stock prices, should I buy or sell the stock at this point in time?" It's for this that ChatGPT lets you down. Interpreting raw numbers in the form of something like price data or sentiment score correlations just isn't what LLMs were originally built for. In this case, ChatGPT will not be able to judge the estimation of relationship between the sentiment scores and prices. If it guesses, the answer could just be entirely random. Such unreliable prediction would be not only of no help but actually dangerous, given that in financial markets, real monetary decisions might be based on the data decisions. Why Causation and Correlation are Problematic for LLMs More than a math problem, a lot of financial analysis is really trying to figure out which way the correlation runs—between one set of data and another. Say, for example, market sentiment vs. stock prices. But then again, if A and B move together, that does not automatically mean that A causes B to do so because correlation is not causation. Determination of causality requires orders of logical reasoning that LLMs are absolutely incapable of. One recent paper asked whether LLMs can separate causation from correlation. The researchers developed a data set of 400,000 samples and injected known causal relationships to it. They also tested 17 other pre-trained language models, including ChatGPT, on whether it can be told to determine what is cause and what is effect. The results were shocking: the LLMs performed close to random in their ability to infer causation, meaning they often couldn't distinguish mere correlation from true cause-and-effect relationships. Translated back into our example with the stock market, one might see much more clearly why that would be a problem. If sentiment towards a stock is bullish and the price of a stock does go up, LLM simply wouldn't understand what the two things have to do with each other—let alone if it knew a stock was going to continue to go up. The model may as well say "sell the stock" as give a better answer than flipping a coin would provide. Will Fine-Tuning Be the Answer Fine-tuning might be a one-time way out. It will let the model be better at handling such datasets through retraining on the given data. The fine-tuned model for sentiment analysis of textual stock prices should, in fact, be made to pick up the trend between those latter two features. However, there's a catch. While this is also supported by the same research, this capability is refined to support only similar operating data on which the models train. The immediate effect of the model on completely new data, which involves sentiment sources or new market conditions, will always put its performance down. In other words, even fine-tuned models are not generalizable; thus, they can work with data which they have already seen, but they cannot adapt to new or evolving datasets. Plug-ins and External Tools: One Potential Answer Integration of such systems with domain-specific tooling is one way to overcome this weakness. This is quite akin to the way that ChatGPT now integrates Wolfram Alpha for maths problems. Since ChatGPT is incapable of solving a math problem, it sends the problem further to Wolfram Alpha—a system set up and put in place exclusively for complex calculations—and then relays the answer back to them. The exact same approach could be replicated in the case of financial analysis: Once the LLM realizes it's working with numerical data or that it has had to infer causality, then work on the general problem can be outsourced to those prepared models or algorithms that have been developed for those particular tasks. Once these analyses are done, the LLM will be able to synthesize and lastly provide an enhanced recommendation or insight. Such a hybrid approach of combining LLMs with specialized analytical tools holds the key to better performance in financial decision-making contexts. What does that mean for a financial analyst and a trader? Thus, if you plan to use ChatGPT or other LLMs in your financial flow of analysis, such limitations shall not be left unattended. Powerful the models may be for sentiment analysis, news analysis, or any type of textual data analysis, numerical analysis should not be relayed on by such models, nor correlational or causality inference-at least not without additional tools or techniques. If you want to do quantitative analysis using LLMs or trading strategies, be prepared to carry out a lot of fine-tuning and many integrations of third-party tools that will surely be able to process numerical data and more sophisticated logical reasoning. That said, one of the most exciting challenges for the future is perhaps that as research continues to sharpen their capability with numbers, causality, and correlation, the ability to use LLMs robustly within financial analysis may improve.
CRYPTO:BTCUSDEducation
by C_Cosmin_C
FET - Pivotal Area: Bulls Need to Wake Up!If there's any chance of a turnaround, it has to be from these levels. If the price breaks below $1, I’ll consider opening a short position targeting the most recent low of $0.80. However, the overall picture looks more promising, so I’m looking to go long between $1 and $1.08 as the first play. If this level fails, I’ll switch to a short position, especially if CRYPTOCAP:BTC falls below $56k. I’d also welcome a period of consolidation above $1 to reestablish this level before aiming for new highs. To simplify: - Bullish bids above $1 - Bearish sells below $1 :)
Long
by ZelfTrade
4
AI/USDT LONG SCALP SETUP!!Hey everyone! If you're enjoying this analysis, a thumbs up and follow would be greatly appreciated! AI looks good here. Breaking out from the falling wedge-like structure and a retest is also done. Long some here and add more in the dip. Entry range:- $0.344-$0.354 Targets:- $0.372/$0.394/$0.419/$0.448 SL:- $0.325 Lev:- Use low leverage (Max 5x) What are your thoughts on AI's current price action? Do you see a bullish pattern? Share your analysis in the comments below!
Long
by CoreCrypto1
C3.AI is a great buy opportunity for the rest of the year.C3.ai (AI) has been trading within a Channel Down pattern for more than 1 year (since the August 01 2023 High) and yesterday it almost hit its bottom (Lower Lows trend-line). The 1D RSI breached below the 30.00 oversold barrier, and within this 1 year, it has always been a buy signal. However we can't rule out an extended consolidation or even a slightly Lower Low within those levels until the price recovers fully, but on the long-term and particularly until the end of the year, C3.ai presents a strong buy opportunity on the current level. The previous two Bullish Legs topped on the 0.785 Fibonacci retracement level, so our Target is 28.50 (marginally below it). ------------------------------------------------------------------------------- ** Please LIKE 👍, FOLLOW ✅, SHARE 🙌 and COMMENT ✍ if you enjoy this idea! Also share your ideas and charts in the comments section below! This is best way to keep it relevant, support us, keep the content here free and allow the idea to reach as many people as possible. ** ------------------------------------------------------------------------------- 💸💸💸💸💸💸 👇 👇 👇 👇 👇 👇
NYSE:AILong
by TradingShot
Why C3.ai ($AI) Stock Is Struggling Despite Earnings Beat C3.ai (NYSE: NYSE:AI ) is facing a challenging day on the stock market after reporting its fiscal first-quarter earnings, even though it exceeded top- and bottom-line estimates. The company’s stock has plunged over 14% in Thursday’s session, reflecting investor concerns despite a strong earnings report. Overview C3.ai reported revenue of $87.2 million for the quarter ending July 31, representing a 20.5% increase year-over-year. This growth was driven by a 20% rise in subscription revenue, which reached $73.5 million. The company also narrowed its net loss per share to 5 cents, improving from 9 cents in the previous year. Both figures beat Wall Street’s expectations, which had forecasted revenue of $86.9 million and a net loss of 13 cents per share. Despite these positive results, the company’s subscription revenue fell short of the anticipated $79.2 million, contributing to the stock's decline. CEO Thomas Siebel highlighted a “solid start” to the fiscal year, with C3.ai seeing continued demand for its enterprise AI solutions. However, the lower-than-expected subscription revenue overshadowed the overall positive earnings report. Looking ahead, C3.ai provided a revenue forecast for Q2 of fiscal 2025 between $88.6 million and $93.6 million, aligning with analyst expectations. The full-year revenue guidance remains unchanged at $370 million to $395 million. However, the company also projected a larger-than-expected loss for the current quarter, further unsettling investors. Technical Outlook Technically, C3.ai’s stock is showing signs of strain. The shares, which had gained nearly 30% earlier this year, are now down roughly 30% since December 31. The latest price action indicates that the stock may be forming a bearish flag pattern, following a long uptrend. This pattern suggests that the current downtrend could extend further if bearish sentiment persists. The stock’s recent drop has pushed it to its lowest levels in months, and several Wall Street analysts have revised their price targets downward. The consensus recommendation is now a "Hold," reflecting the mixed sentiment surrounding C3.ai’s performance and outlook. Conclusion C3.ai’s earnings report presented a mixed bag of results. While the company beat earnings estimates and continued to show growth in revenue, the underwhelming subscription revenue and higher-than-expected losses for the upcoming quarter have weighed heavily on its stock. As the company transitions to a consumption model, historically a challenging phase, investors remain cautious. The technical indicators also suggest that the stock may face further declines if the bearish trend continues. For now, investors are advised to stay alert to both fundamental updates and technical signals as C3.ai (NYSE: NYSE:AI ) navigates this turbulent period.
NYSE:AIShort
by DEXWireNews
CAPE Ratio > Shiller P/E RatioThe Shiller P/E Ratio helps investors understand whether the stock market as a whole is overvalued or undervalued. It is calculated as the current price divided by the average inflation-adjusted earnings per share (EPS) over the past 10 years. We are currently in one of the most overvalued stock markets, with the Shiller P/E Ratio at 32.61, a level not seen since the late 1990s. During the dot-com rally of tech stocks in the US, the Shiller P/E Ratio reached 44.19. At that time, this high ratio suggested that the market was in a bubble. Are we now in an AI bubble?
MULTPL:SHILLER_PE_RATIO_MONTHShort
by Flow-Trade
You Are a Puppet - How The Elite is Manipulating the MarketsWelcome back Future Demons Let me make it very clear. I’m here to help you become a better trader, and make money. I’m not a fan of Wall Street, the Elite, the big asset management companies like BlackRock, Vanguard who own most of the biggest companies in the world. They are known for manipulating the markets, to bait you in, and take advantage of you. They are ruthless. They have secret collabs with journalists around the world from big mainstream media, who will trick you with clickbait articles. But there is way more.. Also there is a big misconception, that the big American asset management companies only hold Western stocks. No, my friend. They hold Russian and Chinese stocks as well. They try to disguise it of course via shadow companies and banks. The Elite in USA, Europe, Russia and China are all "working together", and all have part in the world’s biggest companies and share the same goal. More money and more power. This is NOT a war between sides - East vs West - as they will portrait it in the mainstream media. They have and will continue to brainwash you to believe in this narrative, while they are making money, and the people are dying in war. This is in reality a war between up and down. The elite vs the people. Historically it has always been like that. The church vs the illiterate people. The Kingdom vs the peasents. And there is no difference this time. —— Why am I telling you this? We haven’t seen a bear market in 15 years, which is unheard of. We have been very close many times, but suddenly came COVID, which made the markets blossom again. The small businesses went bankrupt, while the giants made money again. After some time we saw a decline again. Russia invaded Ukraine, and USA (NATO), didn’t try to stop the war. They rejected any kind of diplomatic negotiations. Why? Obviously because they knew, that especially a proxy-war is good for the markets. All the weapons US has sold to Ukraine, made the markets recover. Then again very conveniently Israel had an excuse to use their power against Palestine, which meant more war-money, and again the market managed to recover. The recent little trick is now the 600,000 polio-vaccines UN will give to the Palestinian kids, who are suffering in Gaza. There is catch though, that many is not aware of. The polio vaccine is made by a French company Sanofi. It only takes a Google search or 2 to find out, who the biggest investor is: Dodge Cox, owned by Johnson, Wells Fargo, Alphabet (Google), Microsoft and more. Last but not least, let me also state, that the AI hype lately has been the main reason the markets has increased. But with this post I just want to make it clear, that the Elite, the Deep State, whatever you want to call them, will do whatever it takes to make money. And they are ruthless. What to do now? If you are out of the markets, stay out! If you are in the markets secure profit. We have no idea how high we will go, but there is no doubt imo, that this is a huge bubble, and we will most likely soon go into a Depression like we did 100 years ago in the 1930s. War has historically always been the last instrument before a crash. Kind Regards LaPlaces Demon PS. I know that some people might disagree with my analysis, which is totally ok. What I have learnt the last 10 years trading is to follow the money. And market psychology is my biggest strength.
SP:SPXShort
by Lapl4cesDem0n
10
Alikze »» FET | Bearish Flag🔍 Technical analysis: Bearish Flag - In the analysis presented in the weekly Time, after a corrective trend up to the major ceiling area, it encountered demand, which led to a growth of more than 80%. - Currently, in the 4H time frame in an ascending channel, in the middle area of ​​the channel, as you can see in the chart, a bearish flag has been formed. - Therefore, due to the failure of the supply zone, which is also recorded as a rejection candle, it can have a correction to the origin of movement after exiting the short-term ascending channel or the flag as high as the previous leg. 💎 Alternative scenario: In addition, if it can stabilize above the supply zone, the bearish flag pattern will be invalidated and it can continue up to the top of the growth channel. 🛑 Resistance: 1.172 🟢 Support: 0.78 »»»«««»»»«««»»»««« Please support this idea with a LIKE and COMMENT if you find it useful and Click "Follow" on our profile if you'd like these trade ideas delivered straight to your email in the future. Thanks for your continued support. Best Regards,❤️ Alikze. »»»«««»»»«««»»»««« BINANCE:FETUSDT
Short
by alikze
Nvidia Stock Soars On Blowout GuidanceSoaring demand for the chips needed to train the latest wave of generative artificial intelligence systems such as ChatGPT led Nvidia to issue a revenue forecast far ahead of Wall Street expectations, prompting a surge in its stock price in after market trading. The US chipmaker on Wednesday said it expected sales to reach 11bn dollar in the three months to the end of July, more than 50 per cent ahead of the 7.2bn dollar analysts had been expecting and confirming its position as the biggest short-term beneficiary of the AI race that has broken out in the technology industry. The forecast fuelled a 27 per cent leap in Nvidia’s shares, which had already more than doubled since the start of the year, and lifted its stock market value to a record 960 bn dollar. Jensen Huang, chief executive, said the company was “significantly increasing our supply to meet surging demand” for its entire family of data centre chips, including the H100, a product launched this year that was designed to handle the demands of so-called large language models such as OpenAI’s GPT4. The race in the tech industry to develop larger AI models has led some customers to worry privately about a shortage of H100 chips, which only went on sale earlier this year. However, Nvidia’s $4.28bn in sales to data centre customers in its latest quarter topped even the most optimistic analysts’ forecasts, and the company said there had been strong sales of both the H100 and its A100 chips, based on its previous chip architecture. Nvidia’s forecast noted a potential doubling of sales to data centre customers in three months, even though data centre sales were running at an annualised rate of $17bn in the opening quarter of this year. Growth is coming from customers across the board, Kress said, with consumer internet companies, cloud computing providers and enterprise customers all rushing to apply the generative AI to their businesses. The bullish forecast came as Nvidia reported revenue and earnings in its latest quarter, to the end of April, had also topped forecasts, thanks to a jump in sales to data centre customers as demand for AI took off. Revenue reached $7.19bn, up 19 per cent from the preceding three months but down 13 per cent from the year before, as sales of chips for gaming systems dropped. Earnings per share rose 22 per cent from a year before to 82 cents, or $1.09 on the pro forma basis Wall Street judges the company. The consensus view on Wall Street had been for revenue of $6.52bn and pro forma earnings of 92 cents a share. now let's delve into the numbers. Nvidia's different business units did not all perform equally well during the quarter - which can be expected, of course. Nvidia's data center business grossed revenues of $4.3 billion during the first quarter, which represents a new record high. Data center demand is not very cyclical, and companies kept investing in new equipment despite a potential recession being on the horizon. This can be explained by the fact that data centers are mission critical for many companies, so they don't really have a lot of choice when it comes to allocating capital to this space. Strong data center sales also have been seen in the results of other chip companies such as Advanced Micro Devices (AMD). Both Nvidia and AMD also were able to benefit from the weak performance of their competitor Intel (INTC), as Intel has been losing market share in the data center space in recent quarters due to self-inflicted problems and an unconvincing product line-up. Nvidia is a major graphic chip or GPU player and is thus heavily impacted by the performance of related end markets. This includes both cryptocurrency mining and gaming. While some cryptocurrencies can't be mined with GPUs economically, such as Bitcoin, others, such as Ethereum, can be mined with GPUs. Ethereum moved from a proof-of-work model to a proof-of-stake model in the fall of 2022, but some miners still use GPUs for Ethereum mining. Not surprisingly, Nvidia's sales to this end market depend on the price for cryptocurrencies - when cryptocurrencies are expensive, miners are more eager to acquire additional GPUs and they may also be willing to pay high prices for them. During times when cryptocurrencies are less expensive, mining is less profitable, and GPU demand from cryptocurrency miners wanes. This has had an impact on Nvidia's sales in the past and likely played a role in Nvidia's Q1 sales as well. GPU sales have been under pressure in recent quarters due to lower demand by gamers as well. Many that like to play video games upgraded their hardware during the lockdown phase of the pandemic when staying at home meant that consumers had more time for video games. With many gamers having relatively new equipment, demand has declined in the recent past. At the same time, inflation pressures consumers' ability to spend on discretionary goods. On top of that, some consumers prefer to spend their money on experiences over things now as there are no lockdowns or travel restrictions in place any longer. All in all, this has resulted in a difficult macro environment for Nvidia's gaming business. Combined, the headwinds for the gaming market and the cryptocurrency market explain why Nvidia's sales and profits kept declining during the most recent quarter, relative to the results the company was able to generate one year earlier. The strong performance in the data center space was not enough to offset the headwinds Nvidia experienced in other areas. I personally going to take huge profit right now and wait for 250 $ levels
NASDAQ:NVDA
by moonypto
5
Fetch.ai (FET)A new AI innovation, ChatGPT, is taking the internet by storm. The new software has woken up writers and internet users to what is possible with well designed AI software. like any new technological breakthrough, market participants will benefit, even if from the speculatory crowd looking to place bets through investments. Fetch.Ai, the an open-source network giving access to a machine-learning ecosystem powered by the Fet token and is rapidly expanding its reach by enabling access within the Cosmos ecosystem. Fetch.ai price today is $0.17 with a 24hour trading volume of 110 million dollar. FET price is up 10% in the last 24 hours and 80% up since last month It founded in 2017 and launched via IEO on Binance in March 2019, Fetch.AI is an artificial intelligence lab building an open, permissionless, decentralized machine learning network with a crypto economy. The Fetch.AI mainnet went live in Jan 2020. Fetch.ai democratizes access to AI technology with a permissionless network upon which anyone can connect and access secure datasets by using autonomous AI to execute tasks that leverage its global data network. The Fetch.AI model is rooted in use cases like optimizing DeFi trading services, transportation networks (parking, micro-mobility), smart energy grids, travel.. essentially any complex digital system that relies on large scale datasets. If Fet breaks 0.2 resistance then 0.23, 0.25 and 0.29$ are next targets but if history repeat itself then August 2020 scenario can be possible too (0.07-0.1 is a dip for fet)
Long
by moonypto
22
TARS AI (TAI) cryptocurrency - Solana’s AI InfrastructureTARS AI (TAI) is gaining attention for its innovative approach to integrating artificial intelligence (AI) with blockchain technology. TARS AI serves as an AI infrastructure layer for all applications built on the Solana blockchain. It is designed to facilitate the training of AI models, monetization of data, and access to powerful Graphics Processing Units (GPUs). This modular AI ecosystem is backed by the Solana Foundation, which enhances its credibility and potential for growth. One of the key factors driving TARS AI's bullish outlook is its collaboration with Google. Developers have announced plans to launch four new AI products in partnership with the tech giant within the next 30 to 60 days. This collaboration comes after TARS AI was accepted into Google’s Startup Program, which supports promising startups, further solidifying TAI's position in the AI landscape. TARS AI has established a $2 million ecosystem fund aimed at supporting developers within its network. This initiative is part of a broader strategy to bridge the gap between AI and Web3 technologies, positioning TARS as a leader in the AI blockchain sector. TARS AI is not just another cryptocurrency; it aims to create a comprehensive AI ecosystem that allows users to train AI models quickly and cost-effectively. The platform is designed to support various applications, including data monetization and decentralized governance through AI-powered tools. With its focus on scalability and integration with Solana's robust infrastructure, TARS AI is well-positioned to capitalize on the growing demand for AI solutions in the blockchain space In conclusion, TARS AI represents a compelling investment opportunity within the cryptocurrency market. Its innovative approach, strategic partnerships, and strong market performance make it a noteworthy contender in the rapidly evolving landscape of AI and blockchain technology. As the Solana ecosystem continues to thrive, TARS AI is poised to play a pivotal role in the future of decentralized AI applications.
Long
by BuySellMarketMaker
1
Palantir: A Star Poised to AscendIn the world of cutting-edge technology, Palantir stands out as a beacon of innovation and transformative power. Its revolutionary software platform, Foundry, has revolutionized the way organizations harness the power of data to drive meaningful insights, enhance decision-making, and optimize operations. As the demand for data-driven solutions continues to surge, Palantir is poised to become an indispensable force shaping the future of business and society. Palantir's exceptional growth trajectory and expanding client base speak volumes about its transformative potential. The company's expanding reach across industries, from government and defense to healthcare and finance, underscores its ability to address a wide range of critical challenges. Palantir's commitment to innovation and its ability to adapt to evolving market needs further solidify its position as a leader in the data intelligence space. As Palantir continues to scale, its stock is set to soar, reflecting the immense value it delivers to its clients and the profound impact it has on the world. Investors who recognize the company's transformative potential are well-positioned to reap significant rewards from Palantir's meteoric ascent.
PLong
by SabahEquityResearch
6
IOUSDT - A Prime Opportunity for Long Term Gains.After a significant correction, IOUSDT is making efforts to reclaim its previous major support level. This is often a positive sign, indicating that the market may be stabilizing and setting the stage for a potential upward move. IOUSDT is part of a significant GPU project, which adds to its appeal and long-term potential.For those looking to invest, this could be an opportunity to buy IOUSDT and hold it for the long term. Given the project’s potential and current market conditions, long-term holding may yield substantial returns IOUSDT (1D Chart) Technical analysis IOUSDT (1D Chart) Currently trading at $3.4 Buy level: Above $3.5 (Buy after breakout) Stop loss: Below $3 TP1: $3.8 TP2: $4.3 TP3: $5.5 TP4: $6.5 Max Leverage 3x Always keep Stop loss Follow Our Tradingview Account for More Technical Analysis Updates, | Like, Share and Comment Your thoughts
Long
by GreenCryptoTrades
FET - Bouncing back from the support zoneBINANCE:FETUSDT (1D CHART) Technical Analysis Update FET is currently trading at $1.29 and showing overall bullish sentiment. The price has hit the support zone and held strong. We are seeing a clear bounce back from the support, which is a bullish sign and a good opportunity for a long trade. Entry level: $ 1.303 Stop Loss Level: $ 0.910 TakeProfit 1: $ 1.487 TakeProfit 2: $ 1.644 TakeProfit 3: $ 1.876 TakeProfit 4: $ 2.329 TakeProfit 5: $ 3.336 Max Leverage: 3x Position Size: 1% of capital Remember to set your stop loss. Follow our TradingView account for more technical analysis updates. | Like, share, and comment your thoughts. Cheers GreenCrypto
Long
by GreenCryptoTrades
KLCI.Who/what made Malaysia's economic will boom again? 8/8/24KLCI / FBMKLCI index will hit reach ATH toward 2200 by 2026? What and who "make it" happen? Robberly it's the A.I, Chips sector. And what Make Malaysia as a "hub" of A.I Data Centre? Compare to STI (Singapore) and SET (Thailand) Chart. FBMKLCI chart almost identical! = It probably meant not because who was PM of Malaysia during 80s "making" Malaysia's GDP grow higher! It's "Cycle Trend/ circumstances?!!". AND. The "Cycle Trend/ Circumstances" was "created" by its millions of citizens! as "weather!" not just because 1 person! P/s. AND Most politicians are "good opportunist" they know how to "grab" the "cycle/Trend"!.
FTSEMYX:FBMKLCILong
by SteveTan