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S&P 500 Breaks Out — Trump, Tariffs & Bullish Island PatternDonald Trump has mentioned the US stock market in every meeting he has held in the past few days, which has caused the US stock market indices , including the S&P500 Index ( SP:SPX ), to rise: "Better go out and buy stocks now". President Donald Trump told a crowd in Saudi Arabia on Tuesday that the markets are just getting started. “It’s going to get a lot higher,” he said, right as the S&P 500 posted its first gain since late February. But one of the main reasons for the increase in the S&P 500 Index and US stocks is The United States has dropped its tariffs on Chinese goods to 30% , down from a brutal 145% , while China is slashing its own duties on US imports to just 10% , temporarily, for the next 90 days . ------------------------------------------------- Now let's take a look at the S&P 500 Index chart on the daily time frame . S&P500 Index managed to break the Resistance zone($5,737_$5,506) and 21_SMA(Weekly) by Breakaway Gap . In terms of Classic Technical Analysis , the S&P500 Index has managed to form a Bullish Long Island Pattern , and this pattern is one of the continuing patterns and will be a sign of the continuation of the S&P500 Index's upward trend . In terms of Elliott Wave theory , it seems that the S&P500 index has completed the corrective wave and is in new impulsive waves , which could cause a new All-Time High(ATH) to form. I expect the S&P500 index to increase by at least +5% as it approaches the Uptrend line , and we will see the possibility of a new ATH . Please respect each other's ideas and express them politely if you agree or disagree. S&P 500 Index Analyze (SPX500USD), Daily time frame. Be sure to follow the updated ideas. Do not forget to put a Stop loss for your positions (For every position you want to open). Please follow your strategy and updates; this is just my Idea, and I will gladly see your ideas in this post. Please do not forget the ✅' like '✅ button 🙏😊 & Share it with your friends; thanks, and Trade safe.
OANDA:SPX500USDLong
by pejman_zwin
15
Coinbase (COIN) Shares to Be Added to the S&P 500Coinbase (COIN) Shares to Be Added to the S&P 500 According to media reports, shares of the cryptocurrency exchange Coinbase Global (COIN) are scheduled to be added to the S&P 500 index (US SPX 500 mini on FXOpen) on 19 May, replacing Discover Financial Services (DFS), which is in the final stages of being acquired by Capital One Financial (COF). The deal, having received all necessary approvals from regulators and shareholders of both companies, is expected to be completed on 18 May 2025. As a result, Coinbase Global will become the first cryptocurrency-related company to be included in the S&P 500 index — a development that sent COIN shares surging to their highest level since late February. Inclusion in the S&P 500 is considered a bullish catalyst, as it suggests increased demand for the stock from index funds and signals improved prospects. Analysts have taken note; Rosenblatt Securities raised their price target for Coinbase Global Inc. (COIN) from $260 to $300. Technical Analysis of COIN Stock Chart In previous analyses of the COIN stock chart, we: → drew a descending channel; → identified a resistance zone in the $225–240 range (highlighted in purple). However, the surge in demand triggered by the news of COIN’s inclusion in the S&P 500 has led to: → the descending channel appearing to lose relevance entirely; → the price gapping above the purple resistance zone; → increasing grounds to draw a potential upward trend trajectory (shown with blue lines). Given the current momentum, it is possible that the COIN share price could rise towards the psychological $300 level, which acted as resistance earlier in 2025. This article represents the opinion of the Companies operating under the FXOpen brand only. It is not to be construed as an offer, solicitation, or recommendation with respect to products and services provided by the Companies operating under the FXOpen brand, nor is it to be considered financial advice.
NASDAQ:COIN
by FXOpen
Intel Corporation | INTCIntel reported second quarter earnings on Thursday, showing a return to profitability after two straight quarters of losses and issuing a stronger-than-expected forecast. the stock rose 7% in extended trading. Here’s how Intel did versus Refinitiv consensus expectations for the quarter ended July 1: Earnings per share: 13 cents, adjusted, versus a loss of 3 cents expected by Refinitiv. Revenue: $12.9 billion, versus $12.13 billion expected by Refinitiv. For the third quarter, Intel expects earnings of 20 cents per share, adjusted, on revenue of $13.4 billion at the midpoint, versus analyst expectations of 16 cents per share on $13.23 billion in sales. Intel posted net income of $1.5 billion, or 35 cents per share, versus a net loss of $454 million, or a loss of 11 cents per share, in the same quarter last year. Revenue fell 15% to $12.9 billion from $15.3 billion a year ago, marking the sixth consecutive quarter of declining sales. Intel CEO Pat Gelsinger said on a call with analysts the company still sees “persistent weakness” in all segments of its business through year-end, and that server chip sales won’t recover until the fourth quarter. He also said that cloud companies were focusing more on securing graphics processors for artificial intelligence instead of Intel’s central processors. David Zinsner, Intel’s finance chief, said in a statement that part of the reason the report was stronger than expected was because of the progress the company has made toward slashing $3 billion in costs this year. Earlier this year, Intel slashed its dividend and announced plans to save $10 billion per year by 2025, including through layoffs. “We have now exited nine lines of business since Gelsinger rejoined the company, with a combined annual savings of more than $1.7 billion,” said Zinsner. Revenue in Intel’s Client Computing group, which includes the company’s laptop and desktop processor shipments, fell 12% to $6.8 billion. The overall PC market has been slumping for over a year. Intel’s server chip division, which is reported as Data Center and AI, saw sales decline 15% to $4 billion plus Intel’s Network and Edge division, which sells networking products for telecommunications, recorded a 38% decline in revenue to $1.4 billion.moreover Mobileye, a publicly traded Intel subsidiary focusing on self-driving cars, saw sales slip 1% on an annual basis to $454 million and Intel Foundry Services, the business that makes chips for other companies, reported $232 million in revenue. Intel’s gross margin was nearly 40% on an adjusted basis, topping the company’s previous forecast of 37.5%. Investors want to see gross margins expand even as the company invests heavily in manufacturing capability. In the first quarter, the company posted its largest loss ever as the PC and server markets slumped and demand declined for its central processors. Intel’s results on Thursday beat the forecast that management gave for the second quarter at the time. Intel management has said the turnaround will take time and that the company is aiming to match TSMC’s chip-manufacturing prowess by 2026, which would enable it to bid to make the most advanced mobile processors for other companies, a strategy the company calls “five nodes in four years.” Intel said on Thursday that it remained on track to hit those goals. Nvidia has had an amazing run, but any emerging technology, such as AI, which is bottlenecked by a single company will have issues in growth. Consulting firm McKinsey has pegged the AI market to be worth $1 trillion by 2030, but also that it was in an experimental and in early phases of commercial deployment. While Nvidia will likely retain its leadership in GPU hardware as applied to AI for the foreseeable future, it is likely that other hardware solutions for AI systems will also be successful as AI matures. While technologist may quibble on specifics, all major AI hardware today are based on GPU architectures, and as such I will use the terms and concepts of AI hardware and GPU architecture somewhat interchangeably. One likely candidate for AI related growth may be AMD (AMD), which has had GPU products since acquiring ATI in 2006.However, unlike Nvidia, which had a clear vision for of general-purpose GPU products (GPGPU), historically, AMD had largely kept its focus on the traditional gaming applications. AMD has developed an AI architecture called XDNA, and an AI accelerator called Alveo and announced its MI300, an integrated chip with GPU acceleration for high-performance computing and machine learning. How AMD can and may evolve in the AI may be subject of a different article. Another contender for success in the AI applications using GPU is Intel, who is the focus of this article. Intel has maintained a consistent, if low key focus on GPU hardware focused on AI applications over the last decade. Intel’s integrated HD Graphics is built into most modern processor ICs; however, these are insufficient compared to dedicated GPUs for high-end inferencing or machine learning tasks. It has 2 primary GPU architectures in production release: In 2019 Intel Corporation acquired Habana Labs, an Israel-based developer of programmable deep learning accelerators for the data center for approximately $2 billion. Habana Labs’ Gaudi AI product line from its inception focused on AI deep learning processor technologies, rather than as GPU that has been extended to AI applications. As a result, Gaudi microarchitecture was designed from the start for the acceleration of training and inferencing. In 2022 Intel announced Gaudi2 and Greco processors for AI deep learning applications, implemented in 7-nanometer (TSMC) technology and manufactured on Habana’s high-efficiency architecture. Habana Labs benchmarked Gaudi2’s training throughput performance for the ResNet-50 computer vision model and the BERT natural language processing model delivering twice the training throughput over the Nvidia high end A100-80GB GPU. So, Gaudi appears to give Intel a competitive chip for AI applications. Concurrent with the Habana Labs’ Gaudi development, Intel has internally developed the Xe GPU family, as dedicated graphics card to address high-end inferencing or machine learning tasks as well as more traditional high-end gaming. Iris® Xe GPU family consists of a series of microarchitectures, ranging from integrated/low power (Xe-LP) to enthusiast/high performance gaming (Xe-HPG), data center/AI (Xe-HP) and high-performance computing (Xe-HPC). The architecture has been commercialized in Intel® Data Center GPU Flex Series (formerly codenamed Arctic Sound) and Intel® Arc GPU cards. There is some question on Xe GPU future and evolution. Intel has shown less commitment to the traditional GPU space compared to Gaudi. Nonetheless, it does demonstrate Intel ability to design and field complex GPU products as its business requires. Intel has many other AI projects underway. The Sapphire Rapids chips implements AI specific acceleration blocks including technology called AMX (Advanced Matrix Extensions), which provides acceleration inside the CPU for efficient matrix multiplications used in on-chip inferencing and machine learning processing by speeding up data movement and compression. Intel has supporting technologies such as Optane, which while cancelled as a production line, is available for their needs of a high-performance non-volatile memory, one of the intrinsic components in any AI product. Based on the above, Intel appears to have competitive hardware solutions, however if we look at Nvidia success in AI, it is a result of a much a software and systems focus as it is the GPGPU hardware itself. Can Intel compete on that front. Ignoring for the moment that Intel has a huge software engineer (approx. 15,000) resource, it also has- access to one of the leading success stories in perhaps the most competitive AI application – self driving cars. Mobileye, who was acquired by Intel in 2017, has been an early adopter and leader, with over 20 years of experience in automotive automated driving and vision systems. As such, Mobileye has a deep resource of AI domain information that should be relevant to many applications. Mobileye has announced that it is working closely with Habana, as related divisions within Intel. While Intel is in the process of re-spinning out Mobileye as public company, Mobileye Global Inc. (MBLY), at present Intel still owns over 95% of shares, keeping it effectively an Intel division. In looking at Intel, we have a company with the history, resources, and technology to compete with Nvidia and infrastructure. They have made significant investment and commitment to the emerging AI market, in times when they have exited other profitable businesses. It should also be understood that AI related product are a small percentage of overall Intel revenues (INTC revenue are more than twice NVDA, even if NVDA has 6x its market cap), and continues to keep its primary business focus on its processor and foundry business. Hopefully for shareholders, Intel continues to push their AI technology and business efforts. Their current position is that this is strategic, but Intel is in a very fluid time and priorities may change based on business, finances, and of course the general interest and enthusiasm for AI. It is always worth noting that AI as a technical concept is mature, and appears to be cyclical, with interest in the technical community rising and falling in hype and interest once every decade or so. I remember working on AI applications, at the time labeled as expert systems in the 1980s. If we are currently at a high hype point, this may be temporary, based on near term success and disappointment in what AI does achieve. Of course, as always, “this time is different” and the building blocks of effective AI systems currently exist, where for previous iterations, it was more speculative.
NASDAQ:INTC
by moonypto
4
What Is Random Walk Theory and Its Implications in Trading? What Is Random Walk Theory and Its Implications in Trading? Random walk theory argues that market prices move erratic, making it difficult to analyse past data for an advantage. It suggests that technical and fundamental analysis provide little to no edge, as prices instantly reflect all available information. While some traders embrace this idea, others challenge it. This article explores the theory, its implications, criticisms, and what it means for traders navigating financial markets. What Is Random Walk Theory? Random walk theory reflects the idea that financial markets move erratic, making it impossible to analyse past price data for an advantage. The theory argues that price changes are random and independent, meaning past movements don’t influence future direction. This challenges both technical and fundamental analysis, arguing traders who attempt to time the market are essentially guessing. The concept was first introduced by Maurice Kendall in 1953, who found no meaningful patterns in stock prices. Later, Burton Malkiel popularised it in A Random Walk Down Wall Street (1973), arguing that a blindfolded monkey throwing darts at a stock list would perform as well as professional traders. The underlying principle is that markets are efficient, instantly reflecting all available information. The theory states that prices truly follow a random path, so a trader analysing charts or company reports has no statistical edge. It’s like flipping a coin—the next move is unrelated to the last. This has major implications: active trading strategies become questionable, and passive investing (e.g., index funds) may be a more logical approach. However, while randomness can explain short-term price movements, longer-term trends still emerge. Factors like liquidity, institutional flows, and investor psychology create periods where price action deviates from pure randomness. This is where the debate arises—are markets entirely random, or do trends exist that skilled traders can take advantage of? Understanding random walk theory helps frame this debate, offering insight into why some traders dismiss traditional analysis while others continue searching for patterns in price action. Theoretical Foundations and Key Assumptions The random walk hypothesis is based on mathematical models and probability, arguing that financial markets follow a stochastic process—where future price movements are independent of past trends. It builds on several key principles that shape how economists and traders view market efficiency and price behaviour. Market Efficiency and Information Absorption A core assumption of random walk models is that markets are efficient, meaning all available information is already reflected in asset prices. If new data emerges, prices adjust instantly, making it impossible to gain an edge through analysis. This aligns with the Efficient Market Hypothesis (EMH), which classifies efficiency into three forms: - Weak form: Prices already reflect past movements, rendering technical analysis ineffective. - Semi-strong form: Fundamental data (e.g., earnings reports) is priced in immediately, limiting the usefulness of research. - Strong form: Even insider information is priced in, meaning no trader has an advantage. Brownian Motion and Stochastic Processes The theory borrows from Brownian motion, a model describing random movement, often used in random walk algorithms to simulate stock price fluctuations. Prices are treated as a series of independent events, much like molecules colliding in a gas. No Clear Patterns If prices truly follow a random walk, trends and cycles do not exist in a statistically significant way. This challenges traders who attempt to use historical data to analyse future movements. Implications for Traders and Investors If random walks in trading are truly the norm, then analysing market movements using historical price data is no more effective than flipping a coin. This has significant implications for both traders and long-term investors. For traders relying on technical analysis, random walk theory presents a major problem. If price changes are independent, then tools like support and resistance, trendlines, and moving averages hold no real value. The same applies to fundamental analysis—if all available information is instantly priced in, then even detailed financial research doesn’t offer an edge. This would mean day traders and swing traders aren’t consistently able to generate higher returns than the broader market. It’s why proponents of the theory often argue that attempting to time the market is a losing battle in the long run. However, many supporters of the random walk theory advocate for passive investing, arguing that since, for example, individual stock movements are erratic, holding a diversified index fund is a more rational approach. Instead of trying to outperform the market, investors simply track it, reducing costs associated with frequent trading. Criticism and Counterarguments While random walk theory argues that market movements are independent, real-world trading data argues that markets are not entirely random. Critics point to patterns, inefficiencies, and the effectiveness of certain trading strategies as evidence that price action isn’t purely a coin flip. Market Inefficiencies Exist One of the biggest challenges to random walk theory is that markets display recurring inefficiencies. Certain price behaviours, like momentum effects, mean reversion, and seasonal trends, suggest that past movements do have an impact on future price action. For example: - Momentum strategies: Studies show that assets that have performed well over the past three to twelve months tend to continue in the same direction. If price action were purely random, these trends wouldn’t exist. - Earnings reactions: Stock prices often drift in the direction of an earnings surprise for weeks after the announcement. If markets were perfectly efficient, all adjustments would happen instantly. Real Results Random walk theory suggests that no trader can systematically outperform the market over time. Yet, some fund managers and proprietary traders have done exactly that. Warren Buffett’s long-term track record is often cited as evidence that skill, not just luck, plays a role in investing and trading. Similarly, hedge funds employing quantitative strategies have consistently generated returns, challenging the idea that price movements are entirely random. The Adaptive Markets Hypothesis A more flexible alternative is Andrew Lo’s Adaptive Markets Hypothesis, which seeks to reconcile the EMH’s claim that markets are rational and efficient with behavioural economists’ argument that markets are, in reality, irrational and inefficient. Instead of being entirely random, markets evolve based on participants’ actions, allowing patterns to emerge. While random walk theory provides a useful framework, real market behaviour often deviates from its assumptions, leaving room for traders to find potential opportunities beyond pure randomness. Practical Considerations for Traders Even if markets exhibit randomness in the short term, traders still need a structured approach to analysing price action and managing risk. While random walk theory challenges traditional methods, it doesn’t mean traders should abandon analysis altogether. Instead, it highlights the importance of probabilistic thinking, risk control, and understanding market conditions. Short-Term vs. Long-Term Price Behaviour Markets may behave randomly on a daily or weekly basis, but longer-term trends can emerge due to liquidity shifts, institutional positioning, and macroeconomic factors. Traders focusing on short-term moves often work with probabilities, using statistical models and historical tendencies to assess risk and potential trade opportunities. Risk Management in an Uncertain Market If price movements are largely unpredictable, risk control becomes even more important. Traders typically limit their exposure using stop losses, position sizing, and diversification to avoid being caught on the wrong side of market volatility. Instead of focusing on certainty, they manage the probability of different outcomes. The Role of Quantitative Strategies While traditional chart patterns may be questioned under random walk theory, quantitative and algorithmic strategies analyse large datasets to identify inefficiencies. High-frequency trading firms, for example, exploit microsecond price discrepancies that aren’t visible to the human eye. Rather than proving whether markets are fully random, traders adapt by testing, refining, and adjusting their strategies based on what works in real conditions. The most experienced traders accept uncertainty but structure their approach around probabilities and risk management. The Bottom Line Random walk theory challenges the idea that past price movements provide an edge, arguing that markets move erratically. While some traders accept this and focus on passive investing, others analyse inefficiencies to find potential opportunities. FAQ What Is the Random Walk Theory? Random walk theory suggests that asset prices move unpredictably, with past movements having no influence on future direction. It argues that markets are efficient, meaning all available information is instantly reflected in prices. This challenges the idea that traders can consistently outperform the market using technical or fundamental analysis. What Is the Meaning of the Random Walk Fallacy? Critics of the theory argue that the random walk fallacy is the mistaken belief that financial markets move in a completely random manner, disregarding factors such as fundamental analysis, technical patterns, and behavioural finance that can influence price trends. This misconception may cause traders to overlook potential opportunities for strategic analysis. What Are the Criticisms of Random Walk Theory? Critics argue that markets display patterns, inefficiencies, and behavioural biases that contradict pure randomness. Studies on momentum, mean reversion and liquidity effects show that past price movements do influence future trends. This article represents the opinion of the Companies operating under the FXOpen brand only. It is not to be construed as an offer, solicitation, or recommendation with respect to products and services provided by the Companies operating under the FXOpen brand, nor is it to be considered financial advice.
NASDAQ:MSFTEducation
by FXOpen
1
SoFi Technologies (SOFI, 1D)On the daily chart, SoFi has broken out of its descending trendline, confirmed the breakout with a clean retest of the 0.618 Fibonacci retracement level at $12.33, and is now building upward momentum from this demand zone. This “buy zone” is acting as a launchpad for a potential mid-term move toward higher resistance levels. Key Fibonacci-based upside targets: – $13.48 (0.5 retracement) – $14.64 (0.382 retracement) – $16.07 (0.236 retracement) — within the defined target zone – Extended target: $18.37 (1.0 Fibonacci projection) Technical structure highlights: – Breakout of multi-month downtrend + successful retest – Price now trading above key EMAs (50/100/200) – Volume expansion on bullish candles confirms demand – Daily momentum favors further continuation toward the $14–$16 zone – Premium supply zone above $16 may slow initial momentum but offers long-term potential toward $18+ Fundamental context: SoFi is evolving as a vertically integrated fintech platform with strong brand recognition and growing user engagement across banking, investing, and lending services. As the company narrows losses and strengthens recurring revenue, investor interest in SOFI is growing — particularly as market appetite returns for high-quality fintech with path-to-profitability models. The technical breakout is confirmed. As long as price remains above the $12.33–$12.50 buy zone, the bullish scenario remains valid with targets toward $14.64 and $16.07. A breakout above $16 would activate the full expansion toward $18.37 in the mid-term.
NASDAQ:SOFILong
by TotoshkaTrades
S&P 500 Rally Exhausted? Watch This Level for the Next Drop!The S&P 500 Index( SP:SPX ) has finally touched the Resistance zone($5,680-$5,500) as I expected in my previous post . The S&P 500 Index is moving near the Resistance zone($5,680-$5,500) , the Resistance line, and Yearly Pivot Point . Also, we can see the Regular Divergence(RD-) between Consecutive Peaks . In terms of Elliott Wave theory , it seems that the S&P 500 Index is completing the Zigzag Correction(ABC/5-3-5) , and if the uptrend line breaks , we can confirm the end of the Zigzag correction . When the S&P 500 Index started to rise on April 22 , Bitcoin also started to rise at the same time , so a decline in the S&P 500 Index can cause Bitcoin ( BINANCE:BTCUSDT ) to decline . I expect the S&P 500 Index to drop to at least $5,313 AFTER breaking the uptrend line . Note: If the S&P 500 Index touches $5,712, we can expect more pumps. Please respect each other's ideas and express them politely if you agree or disagree. S&P 500 Index Analyze (SPX500USD),2-hour time frame. Be sure to follow the updated ideas. Do not forget to put a Stop loss for your positions (For every position you want to open). Please follow your strategy and updates; this is just my Idea, and I will gladly see your ideas in this post. Please do not forget the ✅' like '✅ button 🙏😊 & Share it with your friends; thanks, and Trade safe.
OANDA:SPX500USDShort
by pejman_zwin
11
Tencent Holdings LtdIs Tencent Stock a Buy Now? Tencent posted its third quarter earnings report on Nov. 16. The Chinese tech giant's revenue fell 2% year over year to 140.1 billion yuan ($19.8 billion), which represented its second consecutive quarter of declining revenue since its IPO in 2004. Its net profit rose 1% to 39.9 billion yuan ($5.6 billion). On an adjusted basis, which excludes its investments and other one-time items, its net profit grew 2% to 32.3 billion yuan ($4.5 billion). Those growth rates seem anemic, but Tencent's stock had already been cut in half over the past two years amid concerns about China's tightening regulations, slowing economic growth, and COVID19 lockdowns. So is it the right time to take the contrarian view and buy Tencent as a turnaround play? Let's review its core businesses and valuations to decide. Tencent generated 31% of its third quarter revenue from its video game business. Domestic games, which include its blockbuster game Honor of Kings, accounted for 73% of that total. The remaining 27% came from overseas hits like League of Legends, Valorant, and PUBG Mobile.Its domestic gaming revenue fell 7% year over year, representing its third consecutive quarter of shrinking revenue, as it grappled with tighter playtime restrictions for minors in China over the past year. Those restrictions also coincided with a temporary suspension on new video game approvals in China, which started last July and ended this April.Its international gaming revenue rose 3% year over year, accelerating from its 1% decline in the second quarter, as new games like Tower of Fantasy and Goddess of Victory: Nikke attracted new players. Unfortunately, its overseas growth still couldn't offset its declining domestic revenue. As a result, Tencent's total VAS (value-added service) revenue which includes its gaming divisions, social media platforms, and streaming media subscriptions -- declined by 3% in the third quarter but still accounted for more than half of its top line. This core business might gradually stabilize as Tencent expands its international gaming business, but it will likely remain under intense pressure as long as the Chinese government continues to scrutinize the gaming industry. 200$ was one of the biggest support and great opportunity to buying the dip. 300-320$ is a big resistance level for tencent and if bulls win that battle then 350$ is next but can we back 250 or even 200$ again? YES
HKEX:700
by moonypto
11
Snow White's very low ratings - Bullish Disney stock ?The SnowWhite IMDB rating can't get any worse - could the same be said of Disney stock? Price is the ultimate proof but buying the shares of a well established company when sentiment is at a low point can be a fruitful endevour. The poor box office showing + very weak ratings for Snow White - maybe a contrarian buy signal ? A) The stock is attempting a long term double bottom via is 2020 + 2023 lows B) A breakout over the downtrend line (orange) could confirm a bullish trend change Bottom of the ratings ➡️ Bottom in the stock? NYSE:DIS
NYSE:DISLong
by jasperlawler
ASI Update - 17/02/2025🔹 The ASI Index remains in a strong uptrend, with bullish momentum pushing prices towards major resistance zones. Key Levels to Watch: ✅ Resistance: 17,837 → 1.618 Fibonacci Extension and a critical resistance level. 17,093 - 17,092 → Short-term resistance before Fib extension. 🔻 Support: 16,728 → Key support if ASI pulls back. 16,242 - 15,523 → Major demand zones. 📈 Bullish Scenario: If 17,837 is broken with volume, ASI could continue its rally towards new highs. 📉 Bearish Scenario: Failure to break resistance may lead to a pullback towards 16,728 or lower support levels. 📝 Conclusion: ASI remains bullish, but traders should watch for reactions at resistance levels. A breakout above 17,837 would confirm further upside, while a pullback would provide potential re-entry zones. 💬 Let me know your thoughts in the comments! 👇 #CSE #ASI #SriLankaStocks #StockMarket #TradingView
CSELK:ASILong
by rukshan2102
NVIDIA & xAI’s Grok 3: A Game-Changer or Overhyped AI Play?NVIDIA’s stock ( NASDAQ:NVDA ) has been on an unstoppable rally, driven by the AI boom. Now, with Elon Musk’s xAI set to launch Grok 3 —trained on an impressive 100,000 NVIDIA H100 GPUs —the market is buzzing with speculation. Could this be the catalyst that propels NVDA to the next level, or are we approaching an AI-driven valuation bubble? Key Developments : Massive GPU Demand : xAI’s Grok 3 will utilize a staggering 100,000 H100 GPUs, reinforcing NVIDIA’s dominance in AI hardware and boosting its market position. Supercomputer Expansion : Musk’s team is building one of the most powerful AI training clusters in Memphis, Tennessee. This development could significantly increase NVIDIA’s long-term revenue streams, given its key role in powering these systems. Release Date : Grok 3 is set to launch today, February 17, 2025(4 AM GMT) , with a live demonstration, which may influence sentiment around AI-related stocks, especially NVIDIA. Market Sentiment & Risks : While these developments seem bullish for NVIDIA, some analysts, including hedge funds like Elliott Investment Management, have raised concerns over the potential for overvaluation as the AI euphoria spreads. Conclusion: Grok 3’s launch will be a pivotal moment, with NVIDIA at the heart of the AI revolution. Whether this sparks a fresh rally or raises concerns about an AI bubble remains to be seen. ------------------------------------------------------------------------------ Now, let's use Technical Analysis to analyze NVIDIA stock(NVDA) . In terms of technical analysis, the loss of an Ascending Channel is not good news for any asset and is a sign of weakness in the upward trend . This has happened to the NVIDIA stock(NVDA) . From the point of view of Classical Technical Analysis , it seems that NVIDIA stock is completing the Rising Wedge Pattern . Educational tip : The Rising Wedge Pattern is a bearish reversal or continuation pattern characterized by converging upward-sloping trendlines. It signals weakening bullish momentum, often leading to a breakdown below support. A confirmed breakout to the downside indicates a potential price decline. I expect the launch of Grok 3 Artificial Intelligence(AI) can increase at least +10%+15% of NVIDIA stock(NVDA) . If the upper line of the Rising Wedge Pattern breaks , we can expect a further increase [ the next target can be Yearly Resistance(1=$175.68)(in case of breaking) ]. What’s your take? Drop your thoughts about NVIDIA in the comments! 👇 Be sure to follow the updated ideas. NVIDIA Analyze (NVDAUSD), Daily time frame. Do not forget to put Stop loss for your positions (For every position you want to open). Please follow your strategy; this is just my idea, and I will gladly see your ideas in this post. Please do not forget the ✅' like '✅ button 🙏😊 & Share it with your friends; thanks, and Trade safe.
NASDAQ:NVDALong
by pejman_zwin
8
Supply and Demand Trading Made Simple With Astrazeneca StockIn the ever-evolving world of stock trading, where news headlines can shift markets in a heartbeat, savvy investors often turn to the age-old principles of supply and demand to find clarity. Enter AstraZeneca stock (NASDAQ: AZN) — a biopharmaceutical titan that has played a pivotal role in global health. It is a beacon for traders seeking to unlock the secrets hidden within its price movements. There is a monthly demand level at $66 per share, which took control last November 2024. It's the end of January 2025, and the stock is rallying as expected.
NASDAQ:AZNLong
by AlfonsoMoreno
How Ride the AI Wave in 2025 | Top AI Stocks The AI boom is still making waves on Wall Street Over the past 15 months, investors have injected more than $ 5 billion into tech sector funds. This surge was fueled by three consecutive interest rate cuts by the Federal Reserve in 2024, coupled with Donald Trump's presidential victory, which led investors to pour over $140 billion into the stock market, hoping tax reforms would boost corporate profits. A significant portion of this activity has been driven by the growing interest in artificial intelligence, with AI driven companies leading a remarkable 25% rally in the S&P 500 this year. Nvidia (NVDA), a key player in the AI sector, has soared 149% in the past year, while major tech firms like Microsoft (MSFT) and its collaboration with OpenAI, and Google’s (GOOG) Gemini project, have also contributed to the rise in stock prices. The AI market is expected to expand from approximately $540 billion last year to over $1.8 trillion by 2030, with a projected compound annual growth rate (CAGR) of 20% through 2032. In the final weeks of his presidency, Joe Biden's administration introduced new regulations to block the export of US-made semiconductors to adversarial nations, including Russia and China. This move is part of the ongoing AI arms race, with the US aiming to maintain its lead in manufacturing the chips essential for powering AI technology. AI Stocks: The Only ‘Bubble’ You Want to Be In North America held the largest share of the global AI market in 2023, accounting for nearly 37%. Europe, Asia Pacific (APAC), and Latin America followed with shares of 25.5%, 24%, and 13.6%, respectively. Whoever controls AI holds the power and the same is true in the corporate world. AI related stocks, such as Palantir Technologies (PLTR) and Nvidia, delivered triple digit returns and led the market in 2024. Growing investor interest has also made it easier to trade AI focused exchange-traded funds (ETFs), which offer exposure to broader industry themes rather than individual companies. However, performance can vary. For instance, the Defiance Quantum ETF (QTUM) and the Invesco Semiconductors ETF (PSI) have shown comparable results since 2020, consistently outperforming the broader market. Meanwhile, the iShares Future AI & Tech ETF (ARTY) has underperformed compared to the S&P 500. So, how can you identify the top AI stocks when certain ETFs are lagging? This is where the Quant Rating System comes in. Quant Ratings combine proprietary computer processing technology with "quantamental" analysis, allowing you to filter out the noise and focus on AI stocks with strong fundamentals that are expected to grow earnings at an above average rate. Leading AI Companies Worldwide Major tech giants like Amazon (AMZN), Google, Apple (AAPL), Meta (META), Microsoft (MSFT), and IBM (IBM) have invested billions into AI research to secure a dominant position in this highly profitable space. Whether it's backing high-potential startups like MSFT’s $11 billion stake in OpenAI, or supplying crucial AI hardware such as Nvidia's (NVDA) graphic processing units (GPUs), these companies are striving to stay ahead of competitors. While generative AI tools like ChatGPT are undeniably shaping the global economy, the potential for significant returns from AI stocks is more nuanced. For instance, Palantir Technologies (PLTR) has dropped over 20% from its all-time high in December, receiving a "hold" rating from Seeking Alpha's Quant system and analysts across Wall Street as of January 9, 2025. Even Nvidia, despite a strong performance in 2024, has seen its stock show signs of stagnation. Other AI stocks are showing signs of potential overvaluation. For example, SoundHound AI (SOUN) recently dropped more than 16%, with analysts highlighting concerns over its unsustainable valuation given its weak fundamentals. 2025 Top AI Stocks The hype in Silicon Valley can make it challenging to distinguish between AI stocks with long-term potential and those that are overhyped Our data driven Quant system uses advanced computer processing and proprietary algorithms to analyze thousands of stocks in real time across a range of metrics like value, growth, profitability, EPS revisions, and momentum. To find the top performing AI stocks, I analyzed securities from three leading AI focused ETFs Global X Robotics & Artificial Intelligence ETF (BOTZ), Robo Global Robotics and Automation Index ETF (ROBO), and Global X Artificial Intelligence & Technology ETF (AIQ). From this analysis, I selected six top-performing stocks—three largecap and three small-to-medium-cap (SMID)—which represent the diverse opportunities in the AI space. These stocks, both from tech companies providing AI solutions and non-tech firms utilizing AI to enhance productivity, boast an average levered free cash flow margin of about 18.6% and have returned an average of 60% more than the past 12 months. 1. Twilio Inc Market Capitalization $16.6B Twilio, a cloud communications company, has returned nearly 51% over the past year and ranks second in the Top Internet Services and Infrastructure sector, just behind Kingsoft Cloud Holdings. The company’s growth has been driven by stronger revenues, reduced losses, increased cash flow, and the completion of a high-profile ETF investor Cathie Wood’s stake sale. Twilio’s strong Q3’24 earnings suggest it’s well-positioned to capitalize on the growing AI trend well into 2025, with its stock more than doubling since May. Like many cloud computing companies, Twilio, based in San Francisco, gained prominence during the COVID-19 pandemic but initially struggled with high expenses and slow revenue growth. However, the surge in demand for generative AI, particularly through Twilio's CustomerAI platform which leverages large language models (LLMs) and natural language processing (NLP) to analyze customer data has played a key role in its remarkable recovery. TWLO Revisions, Momentum, and Valuation Over the past 90 days, Twilio has seen a remarkable 23 upward revisions to its earnings per share (EPS) and 27 revisions to its revenue projections from analysts, signaling a strong financial rebound. This turnaround is reflected in its ‘A’ Momentum Score, with six-month and nine-month price performances of 93.5% and 81.3%, respectively—both figures vastly outperforming the sector medians by over 1000%. As a result, Twilio has nearly doubled the performance of the S&P 500 in recent months. Twilio also demonstrates solid growth prospects, with a forward EBITDA growth rate of 50.6% (783% higher than the sector median), year-over-year operating cash flow growth of 520.8% (3,348.45% above the sector median), and an impressive levered free cash flow margin of 107% (603% above the sector median). However, its average forward price-to-earnings (P/E) ratio of 30x indicates that Twilio trades at a premium compared to its peers, nearly 20% higher than the sector median. 2. Celestica Inc Market Capitalization $12B Celestica has seen a remarkable 255% increase in its stock price over the past year, driven by its strategic pivot toward AI infrastructure manufacturing. The company has carved out a niche in producing networking switches for data centers, and its Connectivity & Cloud Solutions segment, which makes up 67% of total revenue, has grown 42% year-over-year as tech companies invest more in AI-powered data centers. Its Q3 '24 results highlighted a 22% increase in revenue to $2.5 billion and record adjusted EPS of $1.04. CLS Valuation, Momentum, and Growth Celestica stands out for its attractive valuation, even with impressive returns in 2024. With a forward price-to-earnings growth (PEG) ratio of 0.87, the stock appears undervalued compared to its peers. It boasts an ‘A+’ Momentum Grade, having received six upward EPS revisions and eight revenue revisions from analysts in the past 90 days. Its Growth Grade has improved significantly, rising from ‘C+’ to ‘B+’ due to forward EPS growth of 49% and year-over-year diluted EPS growth of 88%, both significantly outperforming the sector median. 3. DocuSign Market Capitalization $18.3B DocuSign, known for its electronic signature services, has embraced AI in innovative ways, particularly by adding new AI features to streamline contract agreement processes. These AI-driven tools have helped the company’s stock surge more than 21% following its impressive Q3 '24 earnings, and the growth trajectory is expected to continue in 2025 as DocuSign expands into new markets, both domestically and in Europe. As SA Analyst Noah’s Arc Capital Management notes, DocuSign's AI features have proven invaluable for businesses, simplifying the often complex task of reviewing and managing contracts. DOCU Growth, Valuation, and Profitability DocuSign has demonstrated exceptional growth, including an ‘A+’ EBIT growth rate of 239.21% (10,710% above the sector median) and year-over-year diluted EPS growth of 1,852.2% (24,971% higher than its peers). While its overall ‘C+’ Growth Score is somewhat tempered by a low forward return on equity growth forecast of -29.58%, the company’s valuation looks compelling. Its trailing and forward P/E GAAP ratios of 18.6 and 17.9 are 38.6% and 41.5% lower than the sector medians, suggesting that DocuSign's shares are undervalued. Furthermore, its ‘A+’-Rated PEG ratio of 0.01, a 99% difference from the sector median, points to a strong value proposition for investors. 4. FARO Technologies Market Capitalization $478.2M FARO Technologies, based in Lake Mary, Florida, specializes in 3D measurement technology and has leveraged AI to establish itself as a leader in "smart factories" and "intelligent automation." Its scanning technology has been instrumental in improving productivity and accelerating production timelines. The company has seen nearly 54% growth over the past six months, benefiting from the expanding global 3D scanning market, projected to grow to $11.85 billion by 2032 at a compound annual growth rate (CAGR) of 13.11%. In Q3, FARO reported $0.21 of nonGAAP EPS, marking its sixth consecutive quarter of exceeding expectations. This success is part of the company’s strategic plan, which includes the launch of a new line of laser scanners. FARO Growth and Valuation FARO's growth metrics stand out, with forward EBIT growth of 112.48%, 1,410.71% higher than the sector median, and an astonishing year-over-year levered free cash flow growth of 24,214.19%, 164,037% above the sector median. The company's forward EBITDA growth of 42.76%, 639.9% higher than the sector median, indicates robust growth ahead. FARO's stock is undervalued according to its metrics. It has an EV/sales ratio of 1.41, 59% lower than the sector median, and a price-to-book ratio of 1.9, 45% below the sector median, making it an attractive investment at its current valuation. 5. Proto Labs Market Capitalization $897 M Proto Labs, a Minnesota-based company, specializes in on-demand manufacturing solutions, enabling businesses to avoid the costs associated with stocking large quantities of products. Despite a recent dip of around 16% in share price, Proto Labs remains a promising investment due to its strong profitability and its impressive cash flow of $24.8 million in Q3 2024, the highest since its 2020 acquisition of 3D printing company 3D Hubs. Proto Labs has also seen five upward revisions to its EPS and five to its revenue over the last 90 days, signaling stronger-than-expected growth prospects. The company is positioned to benefit from the strong sector tailwinds of the global print-on-demand market, which was valued at $6.18 billion in 2022 and is expected to grow at a CAGR of 25.8% through 2030. PRLB Valuation Proto Labs boasts an impressive long-term growth rate of 25%, 119% higher than the sector's 11.4%, and a year-over-year capital expenditure (capex) growth of 74.4%, significantly outpacing the sector's 4.3%. This suggests that Proto Labs is reinvesting a large portion of its cash back into its operations to fuel future growth. The stock is fairly valued with a forward PEG ratio of 0.06, indicating that it is significantly undervalued compared to its peers, at a 49.3% discount from the sector. Its price-to-book ratio of 1.36 is also an attractive metric, 52.83% lower than the sector median. However, its ‘D’-rated forward and trailing P/E ratios of 39.9 and 48.8, respectively, reflect its recent price decline, leading to an overall Valuation Grade of ‘C’. 6. Freshworks Market Capitalization $4.9 B Freshworks, a cloud based SaaS company founded in India, is a strong candidate for a "buy the dip" opportunity. After a rough 2024, shares in Freshworks have begun to rebound, thanks to increasing demand for its AI-enabled software solutions. The company serves over 68,000 customers, including global brands like American Express, Shopify, and Airbus. Its Q3’24 financial results were filled with positive indicators: - 22% YoY revenue growth to $186.6M - 21% YoY increase in free cash flow - Raised full year guidance - Announced a $400M buyback plan - Maintains a debtfree balance sheet with strong liquidity Freshworks also announced a 13% reduction in headcount, which is expected to improve margins further, in addition to the impact of its share repurchase program. The company is poised to benefit from the booming AI SaaS market, which is projected to grow at a CAGR of over 30% by 2031. FRSH Growth, Valuation, and Momentum Freshworks boasts an impressive A-’ Growth Score, underpinned by its solid revenue growth and forward revenue expansion of 17.8%, a 221.8% difference from the sector median. The company also has a 3-5 year long-term CAGR of 27.5%, significantly outpacing the sector by 824.2%. Its year-over-year capital expenditure growth stands at 83.3%, signaling reinvestment in future growth. In terms of valuation, Freshworks has a forward PEG of 1.51, suggesting that the stock is available at a slight discount to its peers. Similar to Proto Labs, its higher-than-average P/E ratios are likely due to its recent dip of around 9.3% over the past month. One of the standout features of Freshworks’ stock is its ‘A’ Revisions Score, which reflects 17 EPS upward revisions and 16 revenue upward revisions in the past three months. As the AI frenzy continues to dominate Wall Street, some of the valuations of major AI driven companies may be edging into overinflated territory. However,so far my Quant System highlights six ‘Strong Buy’ stocks that still exhibit strong fundamentals. These companies have, on average, risen about 60% over the past year, showcasing strong bullish momentum and solid valuations. For investors looking to integrate AI into their portfolios without succumbing to the hype, these stocks present a promising opportunity Which AI stock are you loading and why?
NYSE:CLSLong
by moonypto
2
Quantum Corporation: Major Levels to WatchGood morning, trading family! Quantum Corporation is at a crucial point: Above $34.50: A breakout could push us to $50 or even higher. Below $29: The downside opens up to the $6–$12 range. Stay sharp as these levels could define the next big move. This Sunday, I’m hosting a Master Your Mind Traders Class to help you build a stronger trading mindset and strategy. Seats are limited—send me a DM for details! Kris/Mindbloome Exchange Trade What You See
NASDAQ:QMCO
by Mindbloome-Trading
Trading Forex vs Stock CFDs: Differences and AdvantagesTrading Forex vs Stock CFDs: Differences and Advantages Forex and stock markets are two of the most popular options for traders, each offering unique opportunities and challenges. While forex focuses on trading global currency pairs, stocks involve buying and selling shares of companies. Understanding their differences—from market size and liquidity to trading costs and risk—can help traders choose the market that best suits their strategy. Let’s break down the key differences between forex and stocks. What Is Forex Trading vs Stock Trading? Let us start with some general information that you may already know. The forex market revolves around trading currency pairs, such as EUR/USD, and operates globally, making it the largest financial market with a daily turnover exceeding $7.5 trillion (April 2022). It’s decentralised, meaning transactions occur directly between participants across time zones, with no single central exchange. In contrast, the stock market involves buying and selling shares of publicly listed companies, like Tesla or Nvidia, through centralised exchanges such as the NYSE or LSE. Trading hours are fixed and tied to each exchange’s location, creating more defined trading windows. Forex markets are driven by macroeconomic events and international factors, while stocks are mostly influenced by company-specific developments like earnings reports and industry trends. In this article, we will talk about Contracts for Difference (CFD) trading. To explore live forex and stock CFD trading opportunities, head over to FXOpen’s free TickTrader platform. Forex vs Stock Trading: Market Accessibility and Trading Hours One of the most important differences between forex and stock markets is their structure and timings. Forex: Open 24/5 The forex market operates 24 hours a day, five days a week, cycling through major trading sessions in Sydney, Tokyo, London, and New York. This continuous nature allows traders to react to global events in real-time, whether it’s midday in the UK or midnight in Asia. For example, a trader monitoring the London session can seamlessly transition into the New York session without waiting for markets to reopen. Stocks: Fixed Timeframes Stock trading is tied to the operating hours of centralised exchanges. For example, the NYSE runs from 9:30 am to 4:00 pm EST, while the LSE operates from 8:00 am to 4:30 pm GMT. This also applies to stock CFDs. Outside of these hours, activity is limited to pre- and post-market trading, which typically sees lower liquidity and higher spreads. Conclusion Forex provides flexibility for traders who value around-the-clock access, while stock traders need to plan their activity within set hours. This makes forex especially appealing to those with unconventional schedules or a need for an immediate market response. Trading Stocks vs Forex: Market Size and Liquidity The size and liquidity of a market dictate how efficiently trades are executed and at what cost. Forex and stock trading differs significantly in these areas. Forex: The $7.5 Trillion Giant The forex market stands as the largest in the financial world, with daily trading volumes exceeding $7.5 trillion (April, 2022). This immense size ensures high liquidity in many pairs, meaning they can be traded almost instantly with minimal price slippage. Tight spreads—often as low as fractions of a pip—make forex particularly attractive to traders seeking frequent, precise entries and exits. Stocks: Liquidity Highly Varies The stock market is smaller and is subject to more complicated factors, therefore, traders may suffer when opening and closing trades. First, stock liquidity highly depends on the company and its trading volume. Blue-chip stocks like Apple or BP typically offer high liquidity, which contributes to smooth transactions with competitive spreads. However, smaller, less-traded stocks may suffer from wider spreads and slower execution, particularly during market volatility. Second, trading hours affect market liquidity, making it challenging to trade before and after market close. Conclusion Forex’s unmatched liquidity mainly ensures consistent trade execution across major pairs. In contrast, stock traders must carefully choose assets to avoid issues with low liquidity, especially when trading small caps or during off-peak hours. Forex vs Stocks: Volatility and Price Drivers High volatility creates opportunities for traders by producing price swings that can be capitalised on. However, the factors driving these movements differ significantly between forex and stocks. Forex: Global Events and Macro Trends Forex volatility is often driven by large-scale economic and geopolitical events. Central bank interest rate decisions, employment data, inflation reports, and geopolitical tensions can cause significant price shifts. For instance, a hawkish Federal Reserve announcement can lead to USD appreciation against other currencies. Currency pairs also experience varying levels of volatility depending on their classification. Major pairs like EUR/USD tend to be less volatile than exotic pairs such as USD/ZAR, where price swings can be much more dramatic due to lower liquidity and heightened economic risks. Stocks: Company-Specific Drivers Stock volatility is more granular, often linked to specific companies. Earnings reports, mergers, leadership changes, or industry news can move a single stock significantly. Broader market trends, such as sector-wide sentiment shifts, can also drive volatility, but these are secondary to company-specific factors. For example, Tesla’s earnings announcement can cause sharp movements in its share price without impacting other automakers. Conclusion Forex volatility is broader and influenced by global macroeconomic trends, while stocks are typically driven by isolated, company-specific events. This distinction makes forex appealing for traders focusing on macro analysis and technical patterns, whereas stock traders often blend fundamental company research with broader market trends to identify trading opportunities. Forex Trading vs Stock Trading: Trading Costs and Leverage Trading costs and leverage significantly impact a trader’s strategy and potential returns. And choosing between trading stocks or forex is no exception. Forex: Potentially Low Costs and High Leverage Forex may provide opportunities for lower-cost trading, with fees paid via commissions and spreads. For instance, forex commissions at FXOpen start at $1.50 per lot, depending on account size. Spreads are usually tight for major pairs like EUR/USD, making costs relatively low. At FXOpen, you can trade with spreads from 0.0 pips. Forex offers significantly higher leverage compared to stocks. While this allows traders to operate with smaller capital, it requires disciplined risk management to avoid significant losses. Stocks: Higher Costs, Lower Leverage Stock trading via CFDs typically incurs higher costs compared to forex, with commissions charged per trade or embedded in spreads. For instance, at FXOpen, US stock CFD traders can see commissions charged from 0.04% to 0.1%, varying by account size, with a minimum commission of $1 per order. Leverage is also lower—usually capped at 1:5 for retail traders, reflecting the relative instability of stock prices compared to currencies. Conclusion Forex CFDs offer lower costs and higher leverage, making it popular among traders with a short-term focus. Stock CFDs, while more expensive, give access to financial instruments for portfolio diversification. Choosing between them depends on the trader’s goals, risk tolerance, and preferred market dynamics. Forex vs Stocks: Regulation and Market Transparency Regulation and transparency are critical for traders when choosing between forex and stocks. Both markets are regulated, but their structures create distinct differences in how pricing and trade execution work. Forex: Decentralised and Broker-Driven The forex market is decentralised, meaning trades are executed through brokers rather than central exchanges. This structure can lead to variations in pricing and execution quality, depending on the broker. Therefore, traders need to find regulated brokers to avoid issues with unreliable pricing or execution. For example, FXOpen is regulated by the FCA and CySEC to ensure fair practices and client fund protection. Stocks: Centralised and Transparent Traditional stock markets operate on centralised exchanges like the NYSE or LSE, where all trades are matched through a regulated order book. This ensures consistent pricing and high transparency, as traders can see bid and ask levels across the market. At the same time, stock CFDs are traded on a broker level. Conclusion Forex and stock CFDs’ decentralised nature provides flexibility but relies heavily on broker reliability. Forex Trading vs Stock Trading: Suitability for Different Trader Types Deciding between forex trading and stock trading comes down to choosing between each market’s unique characteristics. Forex: Favouring Short-Term Strategies Forex is ideal for short-term traders, such as scalpers and day traders. Its high liquidity and round-the-clock trading mean there’s always an opportunity to act on price movements, especially during overlapping sessions like London and New York. The use of leverage, often higher in forex, makes it appealing for those seeking to amplify returns on smaller price shifts (please remember that higher leverage leads to higher risks). Traders in forex often focus on technical analysis, utilising chart patterns and indicators, and study macroeconomic data to analyse short-term trends. This market tends to suit individuals who are comfortable with frequent decision-making and quick trade execution. Stocks: A Blend of Short and Medium-Term Trading Stock trading, particularly via CFDs, is more versatile, attracting both medium-term and swing traders. While day trading is possible, the structured trading hours and broader price swings make stocks particularly appealing for those who prefer holding positions for days or weeks. Stock traders often lean on company-specific fundamentals, such as earnings reports or sector trends, alongside technical analysis. This market suits individuals who prefer analysing individual businesses or sector dynamics over global macro trends. Conclusion Forex trading caters to short-term strategies, attracting traders who thrive on quick decisions and frequent trades, while stock trading offers flexibility, appealing to those who prefer a mix of short- and medium-term strategies with a focus on company fundamentals. Each market has unique characteristics, allowing traders to choose based on their style and objectives. The Bottom Line Both forex and stock markets may offer unique opportunities tailored to different trading strategies and goals. Whether you’re drawn to forex’s 24/5 accessibility or the structured transparency of stocks, understanding their key differences is crucial. Ready to explore forex and stock CFD trading? Open an FXOpen account today and take advantage of competitive spreads, fast execution speeds, and a wide range of instruments. FAQ Is the Stock Market Bigger Than Forex? No, the forex market is significantly larger. Forex sees daily trading volumes exceeding $7.5 trillion (April, 2022). This makes forex the largest and most liquid market, popular among traders seeking tighter spreads and fast execution. What Is the Correlation Between Forex and Stock Markets? The relationship varies. Commodity-linked currencies like AUD or CAD often correlate with related stocks or indices. Broader market sentiment, such as risk-on or risk-off conditions, can also drive both forex and stocks in similar or opposing directions. Should I Invest in Forex or Stocks? It depends on your trading style. Forex could suit short-term traders focusing on global economic trends, while stocks might appeal to those who prefer company analysis or medium-term strategies. Which May Offer Greater Returns, Forex or Stocks? Ultimately, potential returns depend on your strategy and discipline. Forex offers higher leverage for short-term trades, but higher leverage leads to higher risks. Stocks may provide better longer-term growth potential, but they are subject to high volatility. Which Is Riskier, Forex or Stocks? Forex can be riskier due to leverage and rapid price swings. Stocks also carry risks, particularly from company-specific events, but lower leverage makes losses potentially less amplified. The risk depends on your approach and management. This article represents the opinion of the Companies operating under the FXOpen brand only. It is not to be construed as an offer, solicitation, or recommendation with respect to products and services provided by the Companies operating under the FXOpen brand, nor is it to be considered financial advice.
Education
by FXOpen
2
QMCO at a Make-or-Break Moment: 5 Key Levels to Watch Now Morning Trading Family QMCO is approaching a critical crossroads, and the next move could bring some serious action. Let’s break it down with key levels and what they mean for traders. If we break below $65.46 The outlook turns bearish. These are the levels to watch on the way down: $60: First stop. This is where buyers might step in to test the waters. $55: A deeper pullback that could bring more attention from the market. $52: A critical level. If we hit this, it’s time to reevaluate what’s next. If we break above $68.37 This would signal a potential shift in behavior, and the bulls might take over. Here’s what could happen: $70: The next challenge for price to clear. $73: A key level that could act as resistance. Above $73? That’s the green light for a long position. If the price moves past $73, it’s likely that the trend has flipped, and we could see much higher levels. What You Can Do -Keep a close eye on $65.46 and $68.37. These levels are your signals for the next move. -Plan ahead—set stop-loss levels to manage your risk. -Stick to your strategy and don’t rush into trades without confirmation. If you found this helpful, don’t forget to follow, like, or boost this video. Have questions about other charts or feeling stuck with trading? Send me a DM—I’m here to help! Kris/ Mindbloome Exchange Trade What You See
NASDAQ:QMCO
by Mindbloome-Trading
Atlassian | Transitioning from Server to Cloud & Now to AI Atlassian’s Secret to Success: Free Stuff, Fancy Upgrades, and Lots of AI In 2020, Atlassian, the Australian software leader known for tools like Jira and Confluence, initiated its transition to a cloud-first model, phasing out its legacy Server business. This strategic pivot has reshaped its revenue model and driven significant growth. Cloud Momentum Atlassian’s Cloud revenue surged 31% year-over-year in Q1 FY25 to $792 million, surpassing investor expectations. The transition highlights the company’s agility and sustained expansion in a competitive market. SaaS Growth Strategy Atlassian employs a "land-and-expand" SaaS model, attracting customers with low-cost or free products and encouraging upgrades to premium features and additional solutions. Key Highlights -💻 300,000+ customers, including 84% of Fortune 500 companies, spanning software development, IT, and business teams. - 🏢 524 enterprise customers generating $MIL:1M+ ARR, reflecting deeper engagement with large organizations. -🤖 AI adoption: A 10x increase in Atlassian Intelligence usage this year has driven premium upgrades and enhanced productivity. Innovation and Expansion Atlassian continues to focus on product-led growth with recent launches like Atlassian Focus for enterprise strategy and Advanced Editions , offering premium features for existing tools. Financial Perspective -Profitability challenges: Q1 FY25 saw a $32 million operating loss (3% loss margin), a slight decline from last year. This is due to sustained R&D investments (51% of revenue, +2pp YoY), reflecting a long-term growth strategy over immediate profitability. -Server phase-out: Ending the Server business has boosted cloud and data center revenue. -Data Center growth: Revenue grew 38% YoY to $336 million, serving as a transitional solution for customers not yet ready for full cloud migration. Atlassian is positioning Data Center as a stepping stone rather than a permanent option. Future Outlook Atlassian is well placed to leverage rising demand for cloud based tools and AI advancements. However, challenges persist, including macroeconomic uncertainties, competition, and profitability pressures. While generative AI offers new opportunities, it also presents risks such as increased competition and the potential slowing of paid seat growth, a critical revenue stream. Atlassian’s ability to navigate these challenges will determine its long-term success in this transformative phase.
NASDAQ:TEAMLong
by moonypto
1
Micron ($MU) is Poised for Action – Here’s What’s ComingMicron is sitting at a major decision point, and the next move could be big. Here’s the game plan: If we drop below $84: Things could get bumpy, with possible corrections to $74, $70, or even $63–$64. If we break above $93: The sky’s the limit, with targets at $100, $110, and maybe even $138 on the horizon. This is one to watch closely. Big moves are coming, so stay sharp and ready to ride the wave! Kris/Mindbloome Exchange Trade What You See
NASDAQ:MU
by Mindbloome-Trading