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The West Innovates, but China COPY/PASTES Better...From Instagram/Youtube to Tik-Tok From OpenAI (closed AI) to China Free AI ... ''🇨🇳📋 China Doesn't Just Copy, They Paste Better! 🚀🤖'' What Just Happened? The DeepSeek AI shockwave just sent the US stock market into panic mode – wiping out hundreds of billions in value. Here’s the breakdown: DeepSeek, a Chinese AI company, built a ChatGPT rival using a fraction of the resources. They optimized their software rather than relying on NVIDIA’s expensive GPUs. NVIDIA lost $500B in market cap, as investors realized brute-force AI computing might not be the future. The US market tanked as the news spread – another case of China disrupting American tech. This isn't the first time we’ve seen this play out… China’s Playbook: Innovation Through “Pasting” We’ve seen this before: 'US Innovation' vs 'China’s “Better Cheaper” Version' Facebook / Instagram WeChat / Xiaohongshu YouTube Shorts Douyin (TikTok in China) Google Search Baidu ChatGPT (OpenAI) DeepSeek AI The pattern is simple: China doesn’t just copy – they optimize, scale, and outcompete. The US responds by banning them. And guess what? The ban playbook is coming back. OpenAI vs. China – The “Copy-Paste” Battle China isn’t just building ChatGPT clones – they’re making them free. DeepSeek AI is disrupting the AI race by offering competitive models at a fraction of the cost. TikTok destroyed Instagram Reels & YouTube Shorts → US tried to ban it. DeepSeek AI is now outperforming OpenAI on efficiency → What’s next? If history repeats itself, expect the US to start "national security" concerns about Chinese AI models soon. But the real reason? China is winning the innovation war. My Take: The Real Reason Behind “Free” AI Nothing in China is truly free. If they’re offering cutting-edge AI for nothing, the real cost is your data, ideas, and innovation. They’re not just training AI – they’re training on global users. By offering AI for free, they gather intelligence on how people build, create, and think. This isn’t just about AI models – it’s about controlling the future of tech. The US stock market just realized this, and so should you. 🚀 Watch how NVIDIA, OpenAI, and US regulators react in the coming weeks. A ban may be inevitable. One Love, The FXPROFESSOR 💙 ps. I am for sure NOT taking my AI innovation on a 'free- copy/paste is ok' place/ NOT Happening.
AMEX:CQQQLong
by FX_Professor
1
NVDA's Historical Bounce Data - This Is The Way.Forget all the nonsense about deepseek and evidence surrounding the NVDA chinese financial psyop that crushed the market today (primarily before the market even opened). It's all smoke and mirrors. Putting your money in the middle when the odds are in your favor is how you come out on top. That being said, there's a 90% rebound rate for NVidia's 10 biggest drops over the last - hence the reason I'm sitting on 75 calls with a strike of 125 that expire this Friday. The average next day rebound is 4.4% with the median being 5.3%. NVDA closed at $118.58, meaning there's a 90% chance that tomorrow we will see the price settle in the following ranges: Bull Case: 60% probability: $124.50 - $126.90 Base Case: 30% probability: $120.95 - $123.30 Bear Case: 10% probability: $115 - $117 The DeepSeek Red Herring: Speculating on the DeepSeek nonsense, the release of DeepSeek's R1 seems like an attempt to make the narrative fit the story rather than anything based on actual news: *As someone that works w/ AI every day, DeepSeek v3 has been out for a long time, and R1 was released over a week ago. There isn't anything new about this story. *This likely points to a coordinated dump of NVDA by 'whales' during premarket hours to push price action, and China has enough sway in the US markets to perform such a sway after hours. More than 12% of the 16.9% drop occurred in a short period before the market opened - limiting the influence/access of retail investors and thereby maximizing their leverage/power over the market. *This could be a preemptive move by China in a financial cold war that has been developing. Trump recently touted investing $.5T in stargate (ai), and has proposed tariffs of 10% on all chinese goods starting in just 4 days (Feb 1st) *NVDA is the perfect target to send a message. Most of their production is in Taiwan, and we know how China feels about that. The fact that China can't purchase their super chips is a big slap in the face. It'd be like China growing a bunch of crops in Idaho, only to not sell any food to the US while the US is starving. *It's a known fact that bots place the majority of trades on the US market these days. China is a master at reverse engineering tech (if not outright stealing it). Knowing what triggers market bots would be easier than supplying a fake narrative. Nothing about DeepSeek being the reason for the drop passes the smell test if for no other reason than from a logical standpoint...a couple If/Then scenarios: 1) If Deepseek did develop a model for $6M (which would be both insane and extremely unlikely) using outdated tech - Then NVDA's response that they should have their export restrictions removed and the 2nd largest AI market open to them is legitimate. Sales would skyrocket. 2) If this is Chinese misinformation and they're lying about using the A100 chips or the development costs, then why would they do that? 3) If China can't develop their own model without the A100s, what would they do to gain access to them? Then I think they steal the model - either the o1 (openAI) or llama (meta) model and tinkered with it just enough to optimize it as it's performance results are almost identical to openAI's o1 model - DeepSeek's Founder admits "there are no secrets in AI". While models can run on outdated hardware, you can't develop new models in a timely fashion on anything other than the A100s because they're 20x more powerful than the previous chips. The question is was this China's attempt to trigger a black swan event in the US markets prior to the tariffs being enacted - a financial cold war if you will.
NASDAQ:NVDALong
by DontListenToThisClown
30
DeepSeek: Interrupt, Reprice and RelaunchCME: Micro E-Mini Nasdaq 100 Futures ( CME_MINI:MNQ1! ) #Microfutures DeepSeek might have changed the landscape of artificial intelligence forever. Since the launch of OpenAI’s ChatGPT in 2022, A.I. ran on advanced computer chips and large language models, costing billions for anyone to get in the game. DeepSeek, a Chinese startup, made a competitive A.I. model for a fraction of the cost, using less advanced chips. With 8-bit instead of 32-bit data, and by using data relevant to the task at-hand rather than keeping the entire database active all the time, DeepSeek cut the training cost by 95% and completed the task with 2,000 GPUs instead of 100,000. U.S. Stocks were down sharply on Monday on fear of an A.I. stock bubble popping. The Dow dropped 122 points, or 0.3%. The Nasdaq shed 3.2%, and the S&P 500 slid 1.9%. Wall Street raises concern that the billions spent to build big AI models could be done with much less investment. AI darling Nvidia dropped 11%, Broadcom lost 12%, and AMD shed 4%. Microsoft lost 4%. Amazon and Meta shed 2.4% and 1.4%, respectively. This is an example of “selling first and asking questions later”. Investors felt valuations are stretched for technology companies and headed for the exit. This highlights the risk involved in high-tech investment. DeepSeek disrupts the huge competitive edge held by OpenAI and Nvidia, making them less valuable overnight. In balance, a high-tech benchmark like the Nasdaq-100 index (NDX) provides better risk-adjusted returns. NDX: Past, Present and Future On midday January 27th, the NDX is quoted 21,137, down 3.0% for the day. Once the selloff is settled, we want to ask the question: “Is this a normal correction in a bull market, or the beginning of a bear market?” Let’s have a quick look at the past bear markets. During the dot-com bubble, the Nasdaq Composite Index peaked on March 10, 2000, at 5,048.6. As the bubble burst, the index plummeted to 1,139.9 by October 4, 2002. This represented a staggering decline of around 76.8%. The collapse was driven by the realization that many internet companies were grossly overvalued and unprofitable. In the 2022 bear market, NDX logged in a huge loss of 33.0%, bigger than that of DJX (-8.8%) and SPX (-18.1%). High-tech companies relied heavily on financing to fund their research, while many of them were yet to be profitable. The Fed rate hikes pushed their borrowing costs up by 500 basis points, worsening their financial woes. OpenAI's ChatGPT saved the day. This A.I. chatbot redefined the standards of artificial intelligence, proving that machines can indeed “learn” the complexities of human language and interaction. In my opinion, DeepSeek did not cancel out the breakthroughs achieved by others. On the contrary, by massively lowering the barrier of entry, DeepSeek could quicken A.I. development and its widespread adoption. A new era of A.I.-driven industrial revolution, started by OpenAI and boosted by DeepSeek, has only just begun. Additionally, Tech giants in the Silicon Valley are not sitting idly. OpenAI responded immediately by making the $200-a-month ChatGPT premium product free for all. The major players will learn from DeepSeek and redirect their research and development. After some short-term declines, the market will reprice the NDX component companies, setting them up for the next phase of the A.I. revolution. A.I. and Robotic Applications Are a Reality Last year, I took three trips to China and visited a dozen cities. What I observed there shows you how A.I. technology could be applied right now, not years away. • In the past, when I ordered takeouts while at hotels, I needed to go to the lobby to pick up my food. Nowadays, the hotel front desk would put my order inside a robot, which would then run and ride the elevator on its own and deliver the food to my room. • In fact, delivery robots are widely used for hotel room-service in China. They are not just in fancy hotels, but many budget hotels have also adopted them. The hospitality industry is labor intensive. Think about how much the labor cost this could cut down. • Restaurant patrons in China can scan a QR code to review menu, order food and pay for the meal online. Many have done without waiters, cashiers and printed menus altogether. If you want to save the 20-30% service tips, this may be the way to go. • Other emerging A.I. and robotic applications include driverless Taxi and food delivery by drone. On the one hand, they threaten the jobs of millions of people. On the other hand, they would save so much money for businesses and help their bottom-line. The adaptation to A.I. and robotic applications is slow in the U.S. Sometimes, they are being blocked by labor unions, who value job preservation more than anything else. Another reason is the lack of investment in A.I. infrastructure and commercial applications. On January 21st, President Donald Trump announced Project Stargate, a joint venture promising to invest up to $500 billion for infrastructure tied to artificial intelligence. This is a new partnership formed by OpenAI, Oracle and SoftBank. Separately, on January 22nd, Saudi Crown Prince Mohammed bin Salman announced that the oil producing country would invest up to $600 billion in the U.S., after his telephone call with President Trump. To sum up my analysis, it’s my view that A.I. applications are well under way, and large investment would help shore up A.I. infrastructure and steadily deliver cost-saving and efficiency improving applications across every corner of the economy. Project Stargate, named after the popular sci-fi movie, has the potential to spur another industrial revolution. After the market correction, NDX could rise higher once again. Trading with Micro E-Mini Nasdaq 100 Futures Investors sharing my view could consider the CME Micro E-Mini Nasdaq 100 futures (MNQ). The MNQ contracts offer smaller-sized versions of the benchmark E-Mini Nasdaq 100 futures (NQ). Micro futures have a contract size of $2 times the Nasdaq 100 index, which is 1/10th of the E-Mini contract. Micro contracts are very liquid. CME Group data shows that 1,279,703 contracts were traded on January 24th. Open Interest at the end of the day was 100,680. Buying or selling 1 MNQ contract requires an initial margin of $2,306. With Monday midday quote of 21,156, each March contract (MNQH5) has a notional value of $42,312. Compared with investing in the underlying stocks, the futures contracts offer a built-in leverage of about 18 times (=42312/2306). Hypothetically, a trader waits for the Nasdaq futures price to drop to 20,000 then enters a long order. If MNQ rebounds to its previous high at 22,100, the price change of 2,100 points (22100-20000) will translate into $4,200 in profit for a long position, given each index point equal to $2 for the Micro contract. Using the initial margin of $2,306 as a cost base, the trade would produce a theoretical return of 182% (=4200/2306). The risk of a long MNQ position is that the Nasdaq goes into a bear market. To hedge the downsize risk, the trader could set a stop-loss in his buy order. For illustration, he would put the stop-loss at 19,500 when submitting the buy order at 20,000. If the Nasdaq declines 20% from its peak of 22,100 to 17,680, the long position would be liquidated well before that, and the maximum loss would be $1,000 (= (20000-19500)*2). Happy Trading. Disclaimers *Trade ideas cited above are for illustration only, as an integral part of a case study to demonstrate the fundamental concepts in risk management under the market scenarios being discussed. They shall not be construed as investment recommendations or advice. Nor are they used to promote any specific products, or services. CME Real-time Market Data help identify trading set-ups and express my market views. If you have futures in your trading portfolio, you can check out on CME Group data plans available that suit your trading needs www.tradingview.com
CME_MINI:MNQ1!Long
by JimHuangChicago
1
TradeCityPro | WLD : A Recovery Fueled by Positive Divergence👋 Welcome to TradeCityPro! In this analysis, I will evaluate the WLD token. This token belongs to the Worldcoin project, founded by Sam Altman. The project's goal is to establish a digital identity for everyone, known as World ID. 📅 Daily Timeframe: An Uptrend Following a Decline On the daily timeframe, after reaching the resistance zone at 11.868, bearish momentum diminished entirely. A bearish trend began after breaking the 6.23 level, pushing the price down to 1.349. 📊 Upon reaching the 1.349 support, a significant increase in buying volume entered the market. Coupled with a positive divergence at the end of the bearish trend, the price ended its decline and initiated a new bullish trend. ✨ In the new bullish structure, an upward trendline formed. At one point, the price made a fake breakout of this trendline. Following this, the market gained more bullish momentum, and after breaking the 2.496 resistance, additional buying volume pushed the price to 3.885. 🔽 Currently, after hitting 3.885, the market has entered a correction and consolidation phase, with the price even forming a shadow near 2.496. If the correction continues, the first supports are the upward trendline and the minor support at 2.496, which the price has already tested once. 📉 In the event of a deeper correction, the next support zone is 1.349, the most critical level on the chart. If this level is broken, 0.979 will act as the last price stronghold. If the RSI stabilizes below 50, the likelihood of a deeper correction increases. 🔼 If the 3.885 resistance is broken, the next resistance levels are 6.23 and 11.868. Given the high bullish volume, the probability of breaking 3.885 increases. 🔑 The 11.868 resistance, which is also the ATH, is the most important resistance at the moment. Breaking this level could lead to a new ATH for WLD. 📰 Given that the project's founder, Sam Altman, is highly reputable in the community, any promotion of the project by him could drive significantly more buying volume into the market. 📝 Final Thoughts This analysis reflects our opinions and is not financial advice. Share your thoughts in the comments, and don’t forget to share this analysis with your friends! ❤️ above.
Long
by tradecitypro
43
short xauusd with chatgpt1. Trend Analysis Multi-Timeframe Observations: Short Timeframes (M5, M15): Bearish signals indicate short-term selling pressure. Mid/High Timeframes (H1, H4): Bullish momentum is still active, suggesting the possibility of a pullback to resume upward trends. Daily Timeframe: Bearish signals show the overall long-term trend may be turning downwards, requiring caution with long positions. 2. Key Levels Identification Support Levels: $2,685: Immediate minor support zone visible on the chart. $2,680: Strong institutional demand zone aligning with previous swing lows. Resistance Levels: $2,700–$2,710: Strong rejection zone recently tested, with selling pressure evident. 3. Liquidity Zones and FU Candles Liquidity: A liquidity cluster exists below $2,685, likely targeting retail stop-loss orders. FU Candles: On lower timeframes, bearish FU candles near $2,700 signal potential exhaustion of buyers in this region. Updated Entry, Stop-Loss (SL), and Take-Profit (TP) Strategy Scenario: Given the short-term bearish signals, a short position is recommended until clear bullish confirmation appears. Entry: Short near $2,693, following rejection from the resistance zone. Stop-Loss (SL): Place SL at $2,702, slightly above recent swing highs and the upper resistance zone. Take-Profit (TP): First TP at $2,685, targeting minor support. Second TP at $2,680, aligning with the institutional demand zone. Risk-Reward Ratio: 1:2, with ~9 pips of risk (SL: $2,702) and ~18 pips of reward (TP1: $2,685). Additional Considerations Confirmation for Entry: Wait for bearish candlestick patterns (e.g., engulfing candles or a breakdown below $2,690) before entering. Market Context: Monitor gold-related news or events that may influence price momentum
OANDA:XAUUSDShort
by priceactionindonesia
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
AIQ ETF: Artificial Intelligence - Is The New One Bitcoin!?Everyone was talking about ChatGPT in the last quarter. Investors were trading on a rush. Thanks to launch of the bot, well-known stocks, such as NVIDIA shares, have shown the highest profitability among all stocks - components of the S&P500 and Nasdaq-100 indices since the beginning of the year. Previously low-profile AI stocks like MobilEyE Global , Ambarella , C3.ai have become more popular. OpenAI introduced ChatGPT on November 30th, and since then it has demonstrated the ability to perform a number of tasks such as writing stock articles, firing emails, and even messaging on dating apps. ChatGPT is a conversational AI chatbot developed by OpenAI that supports natural language queries. The buzz exploded and blew the roof off when it was reported OpenAI is to receive a $10 billion investment from Microsoft . Undoubtedly, the launch of ChatGPT has become one of the most disruptive topics in the financial markets in Q1 2023. And now, at the beginning of a new quarter, here is a publication that was fully created by ChatGPT Artificial Intelligence, under request to tell a 1200-word Fantastic story Artificial intelligence Becomes The Next Bitcoin. Good or bad, y'all be the judge. But here's what ChatGPT said... n the year 2040, the world had seen incredible advancements in technology. The most talked-about topic was artificial intelligence (AI). AI had become a ubiquitous part of daily life; from self-driving cars to chatbots, AI was everywhere. But there was something different about this AI. It was not just a tool to make our lives easier; it was a valuable asset that people could invest in. The AI market had become the next big thing, and some even compared it to the early days of Bitcoin. A young man named Jack had always been fascinated by AI. He had studied computer science in college and had been working at a tech company for a few years. Jack was always looking for the next big thing, and when he heard about the AI market, he knew he had to get involved. At first, Jack was hesitant to invest his money in something that seemed so new and untested. But as he researched more and more, he became convinced that AI was the future. He decided to take the plunge and invested all of his savings into an AI startup called Mindworks. The startup had a revolutionary new product that used AI to predict market trends. It was unlike anything else on the market, and investors were taking notice. The company's stock began to rise, and soon Jack's investment was worth ten times what he had put in. Jack was thrilled with his investment, but he knew that the market was volatile. He had seen what had happened with Bitcoin; it had soared to incredible heights before crashing down. He didn't want to make the same mistake. As he watched the market closely, he noticed that there were other startups popping up all over the place. Some were using AI to create better healthcare solutions, while others were developing AI-powered robots that could do jobs humans couldn't. Jack realized that the AI market was growing fast, and he needed to stay on top of things if he wanted to continue to make money. He decided to start a blog where he could share his insights into the AI market and offer advice to other investors. The blog quickly became popular, and Jack was soon seen as an expert in the field. He was invited to speak at conferences and was even featured on news programs. He was living the dream, making money from something he loved and helping others do the same. But as the AI market continued to grow, so did the competition. The startups that had once been small and unknown were now getting funding from big-name investors. The market was becoming saturated, and it was becoming harder and harder to stand out. Jack knew that he needed to do something to differentiate himself from the competition. He decided to create an AI-powered platform that could analyze the market data in real-time and make investment recommendations. It took months of hard work, but Jack finally launched his platform. It was an instant success, and investors were lining up to use it. Jack's platform was unlike anything else on the market, and it quickly became the go-to tool for AI investors. As the market continued to grow, so did Jack's wealth. He had become a millionaire, thanks to his investments in the AI market. But he never forgot his roots and continued to offer advice to other investors through his blog. The AI market had become the next big thing, and Jack had been there from the beginning. He had seen the potential of AI and had taken a chance on something new and untested. And now, he was reaping the rewards. As he looked back on his journey, he realized that he had become a part of something much bigger than himself. The AI market was changing the world, and he had played a small part in making that happen. Jack knew that there would be ups and downs in the market, but he was confident that AI was here to stay. It was the future, and he was excited to see where it would take us. The end. The main chart illustrates that the Bearish Trend in AIQ ETF - Global X Artificial Intelligence & Technology ETF is also - the end 😊
NASDAQ:AIQ
by PandorraResearch
4
Match Group (MTCH) About to Take OffI generally don't look at 3M charts, nor do I ever have this many indicators on my charts... BUT they're all aligning - pair that up with an OpenAI partnership and there's no where but up from here. Match Group is the company behind Tinder, Match, Hinge and a total of 40ish relationship apps - I'll breakdown my theory as simple as possible... I can realistically see a 10x+ out of this. AI = Job Cuts = More OF Girls = Bigger Female Egos = Desperate Guys = Pay-to-Date Then, eventually, the lines between a female and AI will blur...but we have time on that.
NASDAQ:MTCHLong
by brettjessen
☄ Natural Gas Futures: This Is Ground Control To Major TomThis publication was partially created by ChatGPT AI, under request to Highlight Ten Factors That Could Drive Natural Gas Prices Below Zero in 2023. Good or bad, y'all be the judge. But here's what ChatGPT said... As an AI, I cannot guarantee the accuracy of such statements, but based on common knowledge, the following factors may be the reasons why natural gas prices drop below zero in 2023: 1. Growth in the use of alternative energy sources such as solar and wind energy. 2. Increasing US shale gas production, which will lead to an increase in global supply. 3. Reduced demand for natural gas due to switching to other types of fuel. 4. Increasing natural gas production in highly competitive countries such as Russia and Qatar. 5. The weakening of economic activity in various countries of the world, including China, the US and Europe. 6. Reducing inflation in various countries, which reduces the cost of natural gas. 7. A record increase in natural gas inventories caused by a reduction in demand and an increase in production. 8. Disputes between countries-suppliers and consumers of natural gas, which may lead to a decrease in exports and imports. 9. Increasing competition in the natural gas market from other producers such as Iran and Iraq. 10. Development of new technologies that make it possible to obtain energy from other sources without the use of natural gas. Technical picture in Natural Gas Futures indicates the biggest YTD decline over the all history of Natural Gas Futures trading since early 1990x. The main chart is adjusted for futures change All History Chart.
NYMEX:NG1!
by PandorraResearch
11
WLD 👁️I'm out but long on leverage🛩️ALTMAN + CTRL + DEL... Or World Income ? 👁️ This is a first time that: 👍I like the potential and tempted to buy ⛔ I don't like the idea and not going to buy WLD: ''The mission of the Worldcoin project is to build the world’s largest identity and financial network as a public utility, giving ownership to everyone. A key component of the Worldcoin project is the development of the foundational infrastructure that will be important for a world where AI plays an increasingly large role.'' Worldcoin, co-founded by Sam Altman and Alex Blania, aims to create a global digital identity and financial network using blockchain. The project uses iris scans to provide a unique digital identity, called World ID, through their World App. Despite attracting significant investment the project has faces controversies over privacy and data collection concerns. Time to decide if you want to enter into the Matrix WEF+Altman: www.weforum.org One Love, The FXPROFESSOR🧝 ps. It is all a social experiment.. it will fail
Long
by FX_Professor
7
Altman + Microsoft: Will AI Wizardry Catapult Stocks ?Microsoft's trajectory into the future takes a compelling turn with the addition of Sam Altman, an AI luminary, to its internal team. This analysis explores the fusion of technology and finance, specifically delving into Altman's impact on AI development within Microsoft. We examine the integration of advanced AI features into Microsoft 365 and assess Microsoft's competitive position in the dynamic AI market. On the financial front, Microsoft's robust fundamental rating sets the stage for closer scrutiny, emphasizing its stability and profitability. Altman's potential influence on Microsoft's stock value, given his renowned AI contributions, is a key focus, highlighting the pivotal role of innovation in sustaining and enhancing stock performance. This concise analysis aims to unravel the symbiotic relationship between technological prowess and financial resilience, providing insights into Microsoft's post-Altman journey. As we navigate challenges and opportunities, the conclusion offers a holistic perspective on Microsoft's potential to lead in AI technology and maintain a competitive edge globally. Technology Analysis: Impact of Sam Altman Joining the Microsoft AI Team: With Sam Altman's experience in AI development through OpenAI, his presence in Microsoft's internal team can positively influence the advancement of more sophisticated AI technology. The potential integration of Altman's ideas and strategies can strengthen innovation within Microsoft applications. AI Technology in Microsoft 365 Applications: Recent changes in Microsoft 365, such as the addition of Copilot features, demonstrate Microsoft's commitment to integrating artificial intelligence into its products. This can enhance user appeal and expand the user base of Microsoft applications. Competitors and Position in the AI Market: In the intense competition in the artificial intelligence sector with companies like Amazon, Google, and Facebook, Microsoft's strategic move with Sam Altman joining can help maintain and enhance its position in the AI market. Financial Analysis: Fundamental Rating of MSFT: With a fundamental rating of 7 out of 10, Microsoft is considered highly profitable with no liquidity or solvency issues. A good dividend rating and consistent profits over the last 5 years indicate financial stability. Impact of Sam Altman's Presence on MSFT Stock: In addition to his contributions to technology development, Sam Altman's presence can also act as a positive catalyst for Microsoft's stock. Altman's reputation in the AI field and his connection with Microsoft can build investor confidence. Innovation as the Key to Stock Value Increase: In the face of tough competition, continuous innovation in AI technology is crucial to maintaining and increasing stock value. Altman's joining provides an additional potential for innovation that can influence the performance of MSFT stock. Combined Analysis: Synergy of Technology and Finance: The combination of superior technology and stable financial conditions strengthens Microsoft's position in facing the future. Technological innovation is key to reinforcing the company's value, and, therefore, the potential for stock increase. Challenges and Opportunities: Despite Microsoft's solid fundamentals, challenges in AI competition persist. Hence, the company needs to stay focused on innovation and adapt to market developments. With Sam Altman's support, Microsoft has the opportunity to continue leading in AI technology development. This enhancement can play a crucial role in the growth of MSFT stock value; however, long-term success also depends on the company's ability to stay competitive in the dynamic and competitive market.
NASDAQ:MSFT
by fardycurry
XAGUSD off tonight and tomorrow, up 1500 lets go Trade 4 Lets go New indicator, new trade. Got the next 36 hours off lets trade all of them lol. I think more down side push today i gave back some money even though I knew it was going to consolidate and run up and down across my entry. Mistake to trade at work missed 3 oppurtunities to get out with at least $400. SMH. Anyways, lets see what the market has for us today. Going to work on perfecting my big push no gain entry signal. Might actually make an indicator for that. Its when you have a candle at the top or bottom of the channel and all of the sudden you see all this volume going into the candle but the candle isnt moving. Thats your entry candle..... that's the one. Just go opposite of what that candle is doing. **** as always if you like or enjoy these posts pls like follow and of course boost (because they are free) and it helps me know you want more of these. Thanks again for all of you who boost the one from yesterday. Now , I didn't harass you guys for boost yesterday and only got 5....but It was a $1800 win on 1.5 lots.....come on? Do I need to ask for that? by iCantw84it 10.02.23
PEPPERSTONE:XAGUSDShort
by iCantw84it
XAGUSD Lets go! Just spent the last 4 days coding. ShortXAGUSD has been bleeding so to figure out what it will do from here on out... I decided to make an indicator. So I spent the last 4 days coding this monster. Yes, My indicators have seizures written all over them. I agree, and yes I was one of those guys who would look at a friends chart and be like, bruh, I can't see anything through your mess. However, I know what all my seizure induced lines mean, because I built the formulas for them. Plus, the finesse of my coding language and understanding what is possible is sad. However, my twisted brain sees things and hears voices and that makes up for it. You just have seizures when you use it. So while, trading gold i came up with the idea. What makes Gold or Silver? Seriously, what drives this thing other than fear and greed? More GREED! And a lot more fear! lol So , I took my new found greed and fear and came up with a formula to identify how they affect gold. Tweaked out fear and greed affects my stocks by making them the same size and sending it off to school with a brand new back pack thats clear. packed it full of lots of snacks and even through in a bottle of grandmas pink and blue pills. You know so he can buy lunch after dealing it all out. So what does little tommy do? Red Line: Stair steps under price and pushes away from price action durring times of accumulation. When it starts to come back and actually crosses price action for the first time after dipping, its GOLD! no pun intended. If price is moving up but red is not.... I am not scared not even a little. White with diamonds: Its a momentum reader. When it slings above price its most likely about to dump. when it slings below it most likely will pop. Yellow lines and green lines: Also momentum readers Mad simple but affective. White Line Price projected line just like Red and blue. These next two are a separate indicator that I created as a culmination of all the other lines and what I have learned from them. Stream lining them into something a lot more true and less reactive. its the perfect balance to what the other lines are. I can run a 1 min chart and feel confident that what I see is what is happening. Dark green and mustard color: These two are legit AF. If price runs below mustard it wont stay gone for long....rarely will price make it over mustard for any given length of time. Unless it is ridiculously bullish like news popped and everything. Green is the high end rarely will price ever pass green. Ever! Anyways, I am using these lines to trade this short.. been in it for about an hour now. up $742 on get this... 2*.5 lots. lol Naturally, if you enjoyed this pls like follow and most of all boost! Thank you everyone who boosted my last post. 22 boost is like wow! It didn't end the way I wanted but it gave me the knowledge I needed to make these indicators. $772 Red line so far away from price...... The symbols are from my ESVO indicator that predicts price action kind of the same way these two I just made. Except, the esvo is alot more sophisticated on alerts and swings and letting you know when all the trading by the big guys has finalized and come to the point where they are about to reap the benefits of all the corralling of retail buyers. The one I just made that is mustard and green, is super specialized into one stock and hyper focused that way. It literally is stalking it like a serial killer. Wearing a skin suit of Silver and gold just to feel like its actually them....sicko I know.... by iCantw84it 10.01.23
OANDA:XAGUSDShort
by iCantw84it
$ANET: Arista looks 'excellent' indeedJust as the greek word, the chart here looks excellent...There's both a daily and a monthly uptrend signal active, which gives this stock tremendous reward to risk potential long term. I am not a huge fan of the valuation, so I was skeptical to get involved but perhaps I am missing something regarding fundamental catalysts for the stock going forward, perhaps related to the boost to demand for their products from the AI large language model war. Companies might scramble to get the required infrastructure to run their algorithms on? Chart wise, the setup is perfect and predicts a steady trend if price stays above $119 where the monthly trend would be invalidated. The daily predicts immediate upside within the next 10 business days. Best of luck! Cheers, Ivan Labrie.
NYSE:ANETLong
by IvanLabrie