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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 Pandorra
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 Pandorra
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
Worrisome ? Saudi Arabia is appearing in the global marketThe development and use of artificial intelligence has been a source of much discussion and concern around the world. In this scenario, a country that has long been overlooked in the technological area begins to emerge; Saudi Arabia. It is a controversial country, which participates in several conflicts in the region, directly or indirectly, and which has a bad record of human rights. However, it seeks to modernize and become a technological hub in the region. To do this, it adopts a curious strategy: investing in soccer. The Saudi national championship features names like Cristiano Ronaldo and Neymar Junior, as well as some European coaches, who were hired for astronomical values. But what is the purpose of this? It is not just a passion for the sport, but rather a way of diversifying its image and attracting investments. Macroeconomics As the largest Arab economy and one of the largest in the world, Saudi Arabia expects to reach a GDP of over 1 trillion dollars in 2023. However, its economic performance still faces many challenges, such as inflation, unemployment, public debt and current account deficit. In addition, the kingdom seeks to reduce its dependence on oil, whose prices are unstable and subject to external shocks. An example of this was the Covid-19 pandemic, which caused a 4.1% drop in GDP in 2020. Faced with this scenario, the Saudi government implemented measures of fiscal stimulus, public accounts adjustment and economic and social diversification, within the framework of the Vision 2030 plan. These measures favored the recovery of the economy in 2021, with an estimated growth of 8%. For the next few years, the prospects are positive, but moderate: a growth of 3.1% is expected in 2023 and 3.5% in 2024. Table of data for 2020 and current 2023: Source: Nasdaq.com; Al-Monitor The Saudi oil sector It is controlled by the state-owned Saudi Aramco, the largest company in the world in market value and oil extraction. It produces 9.2 million bpd (barrels of oil per day), 9% of world production and half of the bloc’s capacity. The company also influences the global fossil fuel market by its extraction policy and its agreements with OPEC+. In 2020, it led an agreement of the organization to reduce extraction by 9.7 million bpd, 10% of global supply, until April 2021. In 2023, it also announced voluntary cuts in its extraction, with Riyadh saying it would reduce oil by 400 thousand bpd from May until the end of 2023. In addition, it extended the voluntary cut of one million bpd for another month, until July 2023. These measures aim to balance the fossil fuel market and avoid an oversupply. In August 2021, the price of Brent (international reference) was around US$ 72 per barrel, an increase of about 40% compared to the beginning of the year. And a recovery of about 80% compared to the lowest level recorded in April 2020 (US$ 40 per barrel). This high was sustained by the reduction of OPEC+ supply, by the improvement of demand with vaccination and by the expectation of a global economic recovery. The oil sector faces uncertainties and risks, such as the Delta variant of Covid-19, which can reduce the demand for oil, geopolitical tensions and the energy transition to renewable sources. Remember that the war between Russia and Ukraine has a direct impact on this sector, as oil is a strategic and essential resource for the development of many countries. Factors such as supply shortage, energy insecurity, geopolitical tension and emergency stock release affect fossil fuel prices, generating impacts on inflation, transportation, production, and consumption. How to solve this problem? It is important to seek peaceful and diplomatic solutions for the conflict in Ukraine, as well as sustainable and renewable alternatives for the global energy matrix. Oil consumption depends mainly on the level of economic activity of consumer and importer countries, which can increase or decrease their demand. WTI and Brent Oil Technical Analysis WTI Futures To be more precise, WTI suffered a slight drop from 127 to 66.87, resulting in a range between 69.84. In the chart below, we can observe that this corresponds to an accumulation pattern, based on Wyckoff’s structure. Stock data of this fossil fuel still indicate scarcity, as extraction was reduced since the beginning of the pandemic. There was a significant decrease in extraction between 2021 and 2022, compared to the period from 2017 to 2019, when it was much higher. In addition, the ESG sustainable movement agendas have long sought to reduce oil extraction, aiming to raise awareness about the use of fossil fuels worldwide. A more detailed analysis of the daily oil chart reveals an accumulation range. In the month of June, there was a significant increase in buying volume, indicating investor interest in buying. I believe this accumulation range will last for some time. After that, investors should wait for signs of interest rate cuts, which may occur in 2024. Jerome Powell does not signal a cut, but rather increases in interest rates. As we know, lowering inflation in the US economy is a challenge for the Federal Reserve, which directly affects the price of crude oil. The same pattern seems to repeat itself when we examine the Brent oil CFD. Again, we observe an accumulation structure during this period. We can also identify a bearish channel. Even with the buying flow since June, the market may return to the range between 86 and 70 until there are signs of improvement in economic data. What I mean by that is that Saudi Arabia, along with the United Arab Emirates, took advantage of the appreciation of oil to generate more wealth and profitability. This positively impacted the Middle Eastern countries. High oil prices benefited the countries, which increased their production, revenue and geopolitical influence, and they bought clubs, made sports partnerships, opening doors for diversification. Country’s Investments in Technology Saudi Arabia has invested billions of dollars in technology and innovation, as part of its plan for economic diversification and social modernization. The country has sought to become a hub for research and development in areas such as artificial intelligence, cloud computing, biotechnology, robotics, and cybersecurity. One of the examples of these investments is the purchase of 3,000 H100 chips from Nvidia, each valued at US$ 40,000, by the King Abdullah University of Science and Technology (Kaust), a national public research institution. These chips are essential for the development of artificial intelligence software, especially those based on the GPT-3 model. Kaust plans to use Nvidia’s chips to create its own ChatGPT, an intelligent conversation system that can interact with users in Arabic and English, answering questions, providing information and offering services. In addition to Kaust, other national institutions and companies have also bought chips from Nvidia to develop artificial intelligence projects. For example, the Saudi Telecom Company (STC), the largest telecommunications operator in the country, acquired 1,000 H100 chips to create a cloud computing platform that offers AI services to corporate and governmental customers. As we explore the implications of Saudi Arabia’s controversial ambitions, it is essential to consider how these actions are shaping global relations and, more specifically, the impact they have on leading companies in the technological scenario, such as Nvidia. What does NVIDIA have to do with it? Nvidia has stood out remarkably in relation to other companies in the development of chips for artificial intelligence, arousing the interest of Middle Eastern countries. But, this rise, caused some concerns to the United States, which began to impose trade restrictions in the region. To better understand why Nvidia has stood out in this scenario, I decided to create a qualitative and quantitative analysis. Let’s explore the reasons behind Nvidia’s continued success in the field of technology. My goal is to show how Nvidia is benefiting from innovation in its sector and how this can impact its market performance. Qualitative analysis NVIDIA Nvidia is a company known for its products aimed at gaming, but that also stands out in the sector and in the race of artificial intelligences. The company positions itself as a leader and reference in this field, being one of the most valuable in the world. In 2020, its revenue was US$ 16.68 billion and, in August 2021, its market value was US$ 538 billion. With more than 18 thousand employees in more than 30 countries, Nvidia has strategic partnerships with technology giants such as Google, Microsoft, Amazon, Facebook, and Tesla. Relevant Details of the Sector of Activity: The semiconductor sector, in which Nvidia operates, is very competitive and innovative. Semiconductors are essential for the manufacture of electronic components and require efficient chips to meet growing demands. Nvidia differentiates itself by its experience in GPUs optimized for parallel processing and AI. In addition to having a solid presence in games, the company also offers solutions for cloud, data centers, IoT and other areas. For this, it invests continuously in research and development. SWOT analysis: _____ Strengths: * Market leadership in the CCaaS segment. * An open and flexible platform that integrates various cloud communication and collaboration solutions. * High quality and security of the services offered by the company. * Strong revenue and profit growth in recent years. Weaknesses: * Dependence on the North American market, which accounts for approximately 70% of the company's revenue. * Vulnerability to cyberattacks and privacy breaches. * Difficulty in retaining and attracting qualified talent in the technology sector. Opportunities: * Increased demand for cloud communication and collaboration solutions due to the COVID-19 pandemic and trends in hybrid work and online education. * Expansion into new geographical markets and customer segments. Development of new products and services that add value to customers and generate recurring revenue. * Strategic partnerships with other technology companies to enhance integration and interoperability of the company's solutions. Threats: * Intensified competition in the CCaaS segment, with the entry or strengthening of major market players such as Microsoft, Google, Cisco, and Facebook. * Regulatory or legal changes that could impact the SaaS sector or the CCaaS segment. * Reduced demand for cloud communication and collaboration solutions after the end of the pandemic or the return to in-person activities. Source: Seeking Alpha _____ Fundamental Analysis Going straight to the point about the financial health and performance of the company. For this, let’s use the financial data from the second quarter of fiscal year 2024 (ended July 31, 2023). The financial indicators that we will consider are: EBITDA, CFO, ROE, ROIC, Gross Margin and Operating Margin. Source: Yahoo Finance According to the data, it presents good indicators of profitability, cash generation and margins, despite the drop in revenue and profit compared to the previous year. The company stands out in the data center segment, which grew 61% compared to last year. It faces some challenges, such as Russia’s sanctions and China’s lockdowns, which may affect its performance in the future. But the company continues to invest in innovation and expansion, such as the acquisition of ARM and the launch of the Omniverse platform. NVIDIA is a leader in the graphics chip market, with potential to grow even more in the coming years. Source: Yahoo Finance The company has a liquidity of 5.07, which indicates good liquidity. This means that the company has more than enough to cover its short-term obligations. The company has a debt of 0.19, which indicates low debt. This means that the company has a healthy capital structure and is not heavily leveraged. We can conclude that Nvidia has a solid financial position and that it can take advantage of growth opportunities in the technology market. It has also shown consistent results and exceeded expectations. That is why it is considered one of the best in the technology sector. NVIDIA Technical analysis: Translate: But if we look deeper, the video increases since October 2022. If we look closely at the year 2022, it was a year in which the S&P 500 had a very large devaluation compared to the year 2021: It's evident that major stocks listed on Nasdaq and NYSE have also been impacted by this performance, with balances well below expectations and generating significant pessimism. From October 2022, we began to observe a gradual recovery in major stocks listed on Nasdaq and NYSE, although this began in June when there was an increase in purchases on June 21. Despite the sharp decline, there was a recovery from this drop, forming a range where investors took advantage of the pessimism to buy stocks. The movement observed at the bottom on October 3 corresponds to a “spring,” indicating the end of the downtrend. 2023 has been a positive year for Nvidia, and the recent surge could further boost share prices if it breaches the 483 region. After examining the impact of Nvidia on the global technology scenario, we see that technological innovations are not always used positively. We do not know how far Saudi Arabia plans to go, but its ambition and power raise doubts. The country is a controversial figure in the global scenario and with all the investment in technology and innovation, they can generate concerns for the international community. I hope this article was useful and informative for you. Thank you for your reading. Source: Reuters, Financial Times, Investing.com. Tradingview.com, Yahoo Finance
NASDAQ:NVDALong
by Victoredbr
Path needs CPR and someone's giving it!Path has been theta crushed for over a month but you know what.... Someone is breathing life back into it and its about to come back to life. This set up is strong.. all time frames are in agreeance with this price that is sitting right above it... that means price will slide right through this resistance area and find support... once that happens it will launch. I will make a smaller time frame version of this to watch. This indicator is my ESVO that I have upgraded and now has alerts for price contraction, speed doubling, and volume spikes... plus some icon love that shows when a explosion in price could happen following re-accumulation... which is represented by a nuclear reactor symbol and takes between 51-31-31 bars after each symbol.. typically you get 3 the last 31 marks when price goes back into contraction phase. The lines depending on which is on top or bottom represent timeframes and the aqua is the key to the push up or down. Its location how straight or unruly it is. What other timeframes it crosses. When it crosses price action. This timeframe when an algo or big institutional is on a chart.... Tells you warning signals as early as 24 hours before an event. It takes a certain set of conditions that you have to learn to look for but that's as easy as just panning through charts one after another with about 1-5 secs on each. One day I will get a scanner to do it but IM not done playing with it. When the lines are all together and price is about to pop it.. that's your move. It needs support after that. When it finds it... its gone. Now 3 problems you have to work out. 1. Are you in low enough or can you stomach the time it takes to pull back and find support? 2. Can you stomach the pull back if you didn't get in low enough? 3. Last and most important in this market... Can you pull the trigger and get out when you have made a profit, or will greed keep you in to see it disappear? The last one is the one I have the most issue with and am trying to find a solution to. When is enough.. I need to add an auto profit target to the indicator and I think it will be complete enough to stand on its own outside of any other alerts and goodies I want to add. Thanks ChatGPT for the coding and Yes I used my own formula for the lines and how they are calculated, I also added some accelerators to make it more responsive for Forex and futures trading. The speed gauge is so you can take a pic when you get in and can pull it up and see where you are as far as speed and movement or velocity. is it ramping up or dying off..... by iCantw84it 08.30.23
NYSE:PATHLong
by iCantw84it
PATH Needs CPR & it looks like someone is breathing life in it!Path has been theta crushed for over a month but you know what.... Someone is breathing life back into it and its about to come back to life. This set up is strong.. all time frames are in agreeance with this price that is sitting right above it... that means price will slide right through this resistance area and find support... once that happens it will launch. I will make a smaller time frame version of this to watch. This inidicator is my ESVO that I have upgraded and now has alerts for price contraction, speed doubling, and volume spikes... plus some icon love that shows when a explosion in price could happen following re-accumulation... which is represented by a nuclear reactor symbol and takes between 51-31-31 bars after each symbol.. typically you get 3 the last 31 marks when price goes back into contraction phase. The lines depending on which is on top or bottom represent timeframes and the aqua is the key to the push up or down. Its location how straight or unruly it is. What other timeframes it crosses. When it crosses price action. This timeframe when an algo or big institutional is on a chart.... Tells you warning signals as early as 24 hours before an event. It takes a certain set of conditions that you have to learn to look for but thats as easy as just panning through charts one after another with about 1-5 secs on each. One day I will get a scanner to do it but IM not done playing with it. When the lines are all together and price is about to pop it.. that's your move. It needs support after that. When it finds it... its gone. Now 3 problems you have to work out. 1. Are you in low enough or can you stomach the time it takes to pull back and find support? 2. Can you stomach the pull back if you didn't get in low enough? 3. Last and most important in this market... Can you pull the trigger and get out when you have made a profit, or will greed keep you in to see it dissapear? The last one is the one I have the most issue with and am trying to find a solution to. When is enough.. I need to add an auto profit target to the indicator and I think it will be complete enough to stand on its own outside of any other alerts and goodies I want to add. Thanks ChatGPT for the coding and Yes I used my own formula for the lines and how they are calculated, I also added some accelerators to make it more responsive for Forex and futures trading. The speed gauge is so you can take a pic when you get in and can pull it up and see where you are as far as speed and movement or velocity. is it ramping up or dying off..... by iCantw84it 08.30.23
NYSE:PATHLong
by iCantw84it
ForexGPT Case Study #2 - CHFJPY LongForexGPT Indicator Explained The ForexGPT indicator is a specialized tool crafted for traders seeking a refined edge in their trading decisions. Emerging from over 10,000 hours of intensive chart analysis, this indicator identifies a unique pattern in the Forex market that has historically hinted at forthcoming significant price movements. While the particular nature of the pattern remains proprietary, envision it as a result of distilled insights from exhaustive chart studying, recognizing recurring behaviors, and validating these observations across various time frames and currency pairs. On spotting this pattern on a chart, the ForexGPT indicator signals a visual alert, such as arrows or markers. Besides, it pinpoints potential entry points, suggesting when traders might contemplate initiating a position. For better risk management, it also highlights potential stop-loss levels. For traders, the ForexGPT offers: -A distinctive pattern recognition system built on extensive research. -Transparent visual cues when the pattern emerges. -Recommendations on potential entry points and risk containment strategies. However, it's essential to understand that the ForexGPT is not a magic wand. It's a tool forged from extensive research, but successful trading still necessitates user discernment and adherence to specific rules. Rules for Using the ForexGPT Indicator: 1. Remain patient until a bullish or bearish signal prints! A bullish signal should ideally appear at the bottom of a range, while a bearish signal at the top. 2. Ensure that the price moves 20 or more pips in the correct direction of the setup WITHOUT violating the suggested red stop-loss line. 3. When the price returns to the recommended entry line, that's your cue to enter the setup. Position your stop-loss at the location of the red line, and earmark your take profit at the most recent opposing high or low in the market. For those who might not have the luxury of time or expertise to sift through extensive price data, the ForexGPT acts as a valuable ally, presenting insights extracted from profound market scrutiny. But remember, while the tool provides guidance, the trader's skill in interpretation and application is crucial. The setup on CHFJPY looks pretty good. We have an untapped setup that I spotted already in motion. Let's see what happens :)
Long
by jefferytheartist
WLD Ready For Another Drop?While world coin is relatively new with little past price action to analyze it has been respecting general patterns and retrace ratios quite nicely. This is an hourly line chart that clearly shows price has broken below its previous uptrend and possibly forming a head and shoulders pattern for a continuation to the downside. Just using the simple TA head and shoulders target of head to neckline would give a technical target of approximately 2.15. This level also is the .786 retrace level of the local swing low to swing high for another 6-7% move to the downside. Trade well.
CRYPTO:WLDWUSDShort
by Degen-Dynasty
1