Get started

AI

Could AI Help Dampen Inflation?Will the 2020s look like the 1970s with unstable inflation and soaring prices? Or will we return to the 2010s with low stable inflation rates of around 2%? There is a case to be made both ways. Those who worry about the possibility of durably higher inflation argue that the quarter century of low, stable inflation rates was a consequence of the end of the Cold War, globalization and just-in-time supply lines. Now, many of those factors have reversed. Military spending is on the rise worldwide as global tensions mount. Nearshoring and friendshoring are moving production out of China and into places like Vietnam and Mexico but at an increased cost. Finally, just-in-time-delivery has proven to be fragile and creates a strong potential for supply chain disruptions. These factors, combined with shrinking workforces in China, Korea, Japan and much of Europe, could put upward pressure on wages and inflation. But there is a counter argument: technology continues to advance rapidly, and generative AI could pose a threat to many middle-class service professions. And inflation has begun coming down in many countries, led by the United States. In the U.S., core inflation has fallen from 6.6% YoY to just 4.1%, and most of the remaining increase has come from one component: owners’ equivalent rent. Outside of owners’ equivalent rent, U.S. inflation is running at just 2.1% year-on-year. After a massive global tightening of rates, economies may also slow significantly, reducing inflationary pressures. If you have futures in your trading portfolio, you can check out on CME Group data plans available that suit your trading needs www.tradingview.com By Erik Norland, Executive Director and Senior Economist, CME Group *Various CME Group affiliates are regulated entities with corresponding obligations and rights pursuant to financial services regulations in a number of jurisdictions. Further details of CME Group's regulatory status and full disclaimer of liability in accordance with applicable law are available below. **All examples in this report are hypothetical interpretations of situations and are used for explanation purposes only. The views in this report reflect solely those of the author and not necessarily those of CME Group or its affiliated institutions. This report and the information herein should not be considered investment advice or the results of actual market experience.
CBOT:ZB1!
by CME_Group
Oraichain (ORAI) long huge potentialLow Cap Oraichain (ORAI) just painted an "Elefant bar". ORAI is near 20/50/200 Moving average (Daily), and can use the moving averages as a spring. This could to be the start of a new bullish wave. I would split this trade in 3 take profit zones, and use tight stop loss. Before I enter this trade I will wait for a retest....3.1 is a good entry for me. Huge potential upside for this trading idea, but think twice... !!! (ORAI) is a very risky low cap token !!!
Long
by TaTaTaCrypto
$AGIX: Chart Analysis + Mathematical ConstructsTitle: "Analyzing AGIX: A Precise Examination of its Path to 26 Cents" In a meticulous chart analysis of AGIX, we observe a striking confluence of technical indicators pointing towards a notable price target of 26 cents. This projection is grounded in a rigorous application of mathematical accuracy, encompassing both measured moves and Fibonacci retracement levels. The chart analysis reveals a compelling sequence of price movements and retracements, meticulously measured and corroborated with the application of Fibonacci retracement tools. These BINANCE:AGIXUSD mathematical constructs serve as a robust framework, underpinning the analysis and providing a strong foundation for the envisioned price target.
A
by UnknownUnicorn3237473
MSTR Evening Star Poses Whipsaw Risk"Evening stars" are not as reliable as they used to be. They occur after heavy speculation and a steep angle of ascent. A few days ahead of earnings, NASDAQ:MSTR could not break through the resistance above. The Gap up was HFT driven. This stock has a lot of retail interest at the moment, with every eye on AI. But the selloff from last quarter's reporting season is creating resistance on the daily scales. It is a very pricey stock for this market condition and the emotional state of most investors. MSTR is likely to gap on earnings news as there are leaks out that it is going to be a blockbuster earnings report.
NASDAQ:MSTR
by MarthaStokesCMT-TechniTrader
Qualcomm Invests Further In Mobile AI With Chip Qualcomm (QCOM) rolled out a number of key AI announcements today, as the company seeks to cement itself as a major player in mobile chips. Those announcements include a new compute platform, called Snapdragon X Elite; a new central processing unit chip, called the Qualcomm Oryon CPU; and a new smartphone chip, named the Snapdragon 8 Gen 3. Though Qualcomm makes chips, it doesn't produce the sought-after GPUs that have become standard for training AI models. That field is dominated by Nvidia (NVDA), though players like Intel (INTC) and AMD (AMD) are racing to catch up amid the GPU shortage. Qualcomm, throughout the AI boom, has sought to carve out a niche that's linked to mobile and about increasing efficiency. The Snapdragon 8 Gen 3, Qualcomm's mobile platform for Android smartphones, was designed to emphasize generative AI — for example, offering the ability to run large language models, like Meta's (META) Llama 2. The chip will begin appearing in major Android devices over the next few weeks, and will also bring enhanced gaming and audio features. The company's Snapdragon X Elite compute platform is designed to give Windows computers an AI boost. Devices with Snapdragon X Elite aren't set to launch until the middle of 2024 — but the platform will feature a new chip that Qualcomm is expected to emphasize moving forward, the Qualcomm Oryon CPU. According to Qualcomm, the Oryon CPU is faster than Arm-based (ARM) competitors, a group that includes Alphabet's Google (GOOG, GOOGL), Samsung, and TSMC. The chip purportedly matches the peak performances of both Apple's (AAPL) M2 chip and Intel's 13980Hx, with less power. The product is an implicit shot at AMD and a multilayered stab at Intel, both of which use Arm intellectual property in some of their chips. Despite the hype around semiconductors, Qualcomm shares have underperformed the S&P 500 this year. The company is wrestling with slowing smartphone sales and an increasingly competitive landscape. 2 QCOM -3.52% INTC -4.15% AMD -4.43% AAPL -1.06% Qualcomm unveils new PC and smartphone chips focused on AIScroll back up to restore default view. Alexandra Garfinkle Alexandra Garfinkle·Senior Reporter Tue, October 24, 2023 at 10:11 PM GMT+1·3 min read In this article: QCOM -3.57% Watchlist Watchlist Performance Outlookyahoo plus badge 2W-6W 6W-9M 9M+ INTC -4.26% AMD -4.55% AAPL -1.12% Qualcomm (QCOM) rolled out a number of key AI announcements today, as the company seeks to cement itself as a major player in mobile chips. Those announcements include a new compute platform, called Snapdragon X Elite; a new central processing unit chip, called the Qualcomm Oryon CPU; and a new smartphone chip, named the Snapdragon 8 Gen 3. Though Qualcomm makes chips, it doesn't produce the sought-after GPUs that have become standard for training AI models. That field is dominated by Nvidia (NVDA), though players like Intel (INTC) and AMD (AMD) are racing to catch up amid the GPU shortage. Qualcomm, throughout the AI boom, has sought to carve out a niche that's linked to mobile and about increasing efficiency. The Snapdragon 8 Gen 3, Qualcomm's mobile platform for Android smartphones, was designed to emphasize generative AI — for example, offering the ability to run large language models, like Meta's (META) Llama 2. An photo provided by Qualcomm. (Qualcomm) The chip will begin appearing in major Android devices over the next few weeks, and will also bring enhanced gaming and audio features. The company's Snapdragon X Elite compute platform is designed to give Windows computers an AI boost. Devices with Snapdragon X Elite aren't set to launch until the middle of 2024 — but the platform will feature a new chip that Qualcomm is expected to emphasize moving forward, the Qualcomm Oryon CPU. According to Qualcomm, the Oryon CPU is faster than Arm-based (ARM) competitors, a group that includes Alphabet's Google (GOOG, GOOGL), Samsung, and TSMC. The chip purportedly matches the peak performances of both Apple's (AAPL) M2 chip and Intel's 13980Hx, with less power. The product is an implicit shot at AMD and a multilayered stab at Intel, both of which use Arm intellectual property in some of their chips. Despite the hype around semiconductors, Qualcomm shares have underperformed the S&P 500 this year. The company is wrestling with slowing smartphone sales and an increasingly competitive landscape. "Near term, demand for handsets remains extremely depressed amid a severe channel inventory drawdown while orders from China Android manufacturers have yet to snap back," wrote CFRA analyst Angelo Zino, who rates the stock a Hold. "Although we like Qualcomm's potential to diversify over time, we are wary of its position given structural share loss across the Android ecosystem." Qualcomm's partnership with Apple is also vital to its near-term prospects — and fragile, as Apple has chipmaking ambitions of its own. In September, Qualcomm and Apple re-upped an iPhone deal that sent Qualcomm's shares surging. "The deal marks a second time that Apple has had to strike a multiyear contract to source thin modems from Qualcomm, in a contractual relationship that Apple sees as unfair but necessary," Argus Research director Jim Kelleher wrote in September. "For Qualcomm, the agreement locks up a key high-volume customer at a time when financial pressures and modest gains in smartphone function and efficiency are limiting demand for new phones."
NASDAQ:QCOMLong
by DEXWireNews
#INJ/BTC 1D (Binance) Symmetrical triangle breakoutInjective Protocol is out-performing the crypto market after printing that morning star deviation. Looks good for bullish continuation in sats, probably after pulling back to 100EMA support. ⚡️⚡️ #INJ/BTC ⚡️⚡️ Exchanges: Binance Signal Type: Regular (Long) Amount: 6.5% Current Price: 0.0002916 Entry Targets: 1) 0.0002705 Take-Profit Targets: 1) 0.0003529 Stop Targets: 1) 0.0002292 Published By: @Zblaba CRYPTOCAP:INJ #INJBTC #Injective #AI #Web3 Risk/Reward= 1:2 Expected Profit= +30.5% Possible Loss= -15.3% Estimated Gaintime= 1 month injective.com
Long
by TradingOn
GOOG Sympathy Move Ahead of Earnings TodayThe run down to Monday was a sympathy run. It doesn't mean that NASDAQ:GOOG is headed for a bad report. Rather, retail investors are selling ETFs or moving money out of stocks into safe havens, or other adjustments to portfolios and 401(k)s. The selling dug into the most recent weak support level. However, NASDAQ:GOOGL has not sent out any advisor in recent weeks regarding its earnings report. Any company this size, and as a veteran company of the stock market, would warn if earnings were going to miss the retail-side analyst estimates. So this is a sympathy move merely because the retail-side selling is moving big-name companies down at this time. If it has a great earnings report, which the previous runs suggest , then the HFTs may trigger a gap up at open tomorrow. Alphabet had improvement in its quarterly report last quarter. Yearly revenues have been up for 4 years but earnings are up and down as it invests hugely in AI.
NASDAQ:GOOGLong
by MarthaStokesCMT-TechniTrader
META: Buy on the Channel's bottom.Meta is having a strong turnaround day after 7 sessions of decline inside the two month Channel Up. The 1D technical outlook is neutral (RSI = 53.876, MACD = 3.900, ADX = 28.237) and as the RSI S1 (46.50) is holding, today is a strong buy opportunity to target the Channel's top (TP = 345.00). If it drops more, we will make one last buy attempt at the bottom of the Channel Up, marginally over the 1D MA100. See how well our prior idea has worked: ## If you like our free content follow our profile to get more daily ideas. ## ## Comments and likes are greatly appreciated. ##
NASDAQ:METALong
by InvestingScope
1
A Glimpse Into the Future of AI Companies StocksInvesting in AI companies can be a wise decision, but like any investment, it is important to do your research and understand the potential risks and rewards. Companies such as UiPath, Intuitive Surgical, and Palantir Technologies have seen significant growth in recent years, but it is important to consider their market capitalization and share prices before investing. UiPath, a software automation company, went public in April 2021 with an initial market capitalization of around $36 billion. Intuitive Surgical, a company that produces surgical robots, has a market capitalization of over $93 billion. Palantir Technologies, a data analytics company, went public in September 2020 with an initial market capitalization of around $22 billion. It is also important to consider the rating of the shares and the security of the company before investing. For example, UiPath was rated as a buy by several analysts following its IPO, but investors should also consider the potential risks and competition in the market. In terms of upcoming IPOs, there are several AI companies that are expected to go public in the near future, including UiPath's competitor Automation Anywhere, online education platform Coursera, Google’s company Waymo, and others. As with any investment, it is important to do your own research and consult with a financial advisor before making any decisions. While the investment potential of these companies is undoubtedly significant, investors should be aware of the risks involved in investing in new and untested technologies. AI companies are subject to a variety of risks, including regulatory risk, intellectual property risk, and competition from other companies in the sector. As such, investors should carefully consider their investment options and consult with a financial advisor before making any investment decisions. In terms of investment potential, it's important to note that investing in AI Companies can be risky, as with any new technology. However, for those willing to take the risk, the potential rewards could be substantial. The key is to do your research and choose companies that have a solid business plan and a proven track record of success. It's also important to keep an eye on the broader market trends and economic indicators, as these can have a significant impact on the success of any investment. When it comes to security, AI technology is still in its early stages and there are certainly risks involved. However, companies that are dedicated to building secure AI systems and investing in the necessary security measures should be able to mitigate these risks to some extent. It's also important to note that as AI technology continues to evolve, so too will the security measures that are needed to protect it. As AI technology becomes more advanced and more widely adopted, there will be a growing demand for companies that can provide innovative solutions in this space. This presents a significant opportunity for investors who are willing to take a long-term view and invest in companies that are dedicated to the ongoing development of AI technology. ----------------------------------------------- Risk Warning Trading stocks and options is a risky activity and can result in losses. You should only trade if you understand the risks involved and are comfortable with the potential for losses. Risk Disclaimer! General Risk Warning: Trading on the Financial Markets, Stock Exchange and all its asset derivatives is highly speculative and may not be suitable for all investors. Only invest with money you can afford to lose and ensure that you fully understand the risks involved. It is important that you understand how Trading and Investing on the stock exchange works and that you consider whether you can afford the high risk of loss Rating: Risky Buy with High Upwards Potential Risk Disclaimer! The article and the data is for general information use only, not advice!
NYSE:PATHLong
by TheTrade_Academ
Foxconn and Nvidia are building 'AI factories'Nvidia and Foxconn are working together to build so-called "AI factories," a new class of data centers that promise to provide supercomputing powers to accelerate the development of self-driving cars, autonomous machines and industrial robots. Nvidia founder and CEO Jensen Huang and Foxconn chairman and CEO Young Liu announced the collaboration at Hon Hai Tech Day in Taiwan on Tuesday. The AI factory is based off an Nvidia GPU computing infrastructure that will be built to process, refine and transform vast amounts of data into valuable AI models and information. "We're building this entire end-to-end system where on the one hand, you're building this advanced EV car...with an AI brain inside that allows it to interact with drivers and interact with passengers, as well as autonomously drive, complemented by an AI factory that develops a software for this car," said Huang onstage at the event. "This car will go through life experience and collect more data. The data will go to the AI factory, where the AI factory will improve the software and update the entire AI fleet." The AI factory tie-up builds off a partnership between Nvidia and Foxconn announced in January to develop autonomous vehicle platforms. That agreement involved Foxconn becoming a primary supplier of electronic control units (ECUs) for automakers, which will be built with Nvidia's Drive Orin system-on-a-chip (SoC), a supercomputing AI platform that supports autonomous driving functions. On Tuesday, Foxconn also committed to manufacturing ECUs with Drive Thor, Nvidia's next-gen SoC, after production starts in 2025. As part of that partnership, Foxconn -- which has been steadily unveiling off-the-shelf EV platforms for automakers to purchase -- said the vehicles it makes as a contract manufacturer will be built with Nvidia's Drive Hyperion 9 platform, which includes not only Drive Thor, but also a suite of sensors like cameras, radar, lidar and ultrasonic that are necessary for self-driving capabilities. Foxconn is already contracted to build EVs for Fisker, even as it gets sued by its erstwhile partner Lordstown Motors. The automaker will need scale in order to make its AI factories viable, especially if it's going to compete with Tesla.
NASDAQ:NVDALong
by DEXWireNews
MSFT Showing Strength on Retest Ahead of EarningsPercentage of Shares Held by Institutions is a bit low at 69% for NASDAQ:MSFT stock right now. However, the indicators are showing some strength as it retests the lower level of resistance above its current price. NASDAQ:MSFT reports earnings next week on Tuesday. Microsoft has focused on AI for small businesses, the market niche that helped move it out of its 16-year slump until 2016, and during the pandemic. The pandemic anomalies in revenues should be patterned out this earnings season. The stock has ample support at the most recent lows. It is a heavily weighted component of all 3 indexes, so an important report for Q3.
NASDAQ:MSFT
by MarthaStokesCMT-TechniTrader
#NMR/USDT 4h (Binance Futures) Descending wedge breakoutNumeraire regained both 50MA & 200MA and is pulling back to them, looks good for another bounce. ⚡️⚡️ #NMR/USDT ⚡️⚡️ Exchanges: Binance Futures Signal Type: Regular (Long) Leverage: Isolated (4.0X) Amount: 6.9% Current Price: 13.13 Entry Targets: 1) 13.10 Take-Profit Targets: 1) 15.94 Stop Targets: 1) 11.68 Published By: @Zblaba $CRYPTOCAP:NMR BINANCE:NMRUSDT.P #Numeraire #AI numer.ai Risk/Reward= 1:2.0 Expected Profit= +86.7% Possible Loss= -43.4%
Long
by TradingOn
2
Lenovo Investing $1.2 Billion In AILenovo is investing $1.2 billion in artificial intelligence to help bring AI to the edge for customers as well as drive partner sales. “The AI server and storage market is expected to reach $29 billion next year. Lenovo is investing $1.2 billion in R&D to help tap into those opportunities and bring those AI initiatives to fruition,” said Stacey Goodman (pictured), senior director of U.S. VAR Partner Sales for Lenovo, at the 2023 XChange Best of Breed conference today in Atlanta. Goodman said as Lenovo’s channel organization evolves, the $62 billion technology giant recognizes that it needs to evolve its products and solutions to allow Lenovo partners to tap into and capture new markets and opportunities.
OTC:LNVGYLong
by DEXWireNews
People want to earn but not learnThe issue is everyone wants to make money (well, maybe not everyone) but nobody wants to take the time to learn how to do it properly. This is NOT a sales pitch by the way! it's FACT!! People often ask why I bash influencers so much, it's mainly for this reason. Majority of noobs, come into trading expecting to make a fortune. If only it was that easy, every man and his dog would be a professional trader. Over the years, I have talked about things like Bots and AI that are programmed to make you money - think logically, if again it is this easy wouldn't the founders go to the bank, loan $10million based on their results and just not bother selling and shilling to customers and retail. NOBODY wants to provide customer service, especially to the world's population. Unfortunately, regardless of the market. Trust me if you stick around long enough you get to see this behaviour in Forex, Commodities, Stocks and more recently crypto with a splash of A.I. The story goes pretty much the same way. "man (or woman) hears about an opportunity to make money through a thing called trading, they do their research which leads to the old You of Tube and that leads to "Lamborghini promises from kids with fake watches, drawing random trendlines on 3 minute charts" There's often a "sign-up" bonus if you click their shill link. So let's get this straight, they make money on watch time and those links you click. The reason I chose fish in the image above, is that most people have memories that last about 2 seconds. Mark Cuban said "everyone is a genius in a bull market" Algorithms work and influencers claim to be experts with 3 months of experience. Easy to show in a market only going one way. Trading is hard enough, let alone having the ability to lose money from scams. If a trading algorithms promises a 90% win rate - run and don't buy it. ============================================================== There are fundamental things to do and you can deploy to get you off on the right track. Firstly think of the obvious. 90% of new traders lose 90% of their money in only 90 days. Hence a 50% sign-up bonus whereby you think you gained "free cash" often has small print that you can't access it until you lost your original investment. Affiliates tend to get 25% or more of the deposit - the exchanges know full well, your about to lose your money. Second thing I try to emphasis for newer traders, is that you need to treat trading as a profession. You wouldn't watch a video and expect to be a doctor, you also wouldn't buy an algorithm or Artificial Intelligence software and expect to become New York's latest Hot Shot Lawyer You see where this is going? There is no secret sauce, no silver bullet and no short cuts. If you want to trade and make money trading, you need the basics. You need to keep doing the basics well and evolve your mindset more than a strategy. Areas that will really help you include proper risk management. If your willing to be sat in negative 20, 30 or even 50% equity positions. This won't take you long to lose your entire trading pot. Instead risking 1-2% with a risk strategy of 2 -1 or greater. it's a slower game, but it keeps you playing the game. If you take a 3 or even a 4 reward trade with only 1 risk. For every time you are right, it's giving you 4 times as much as when you are wrong. Imagine winning 20% of your trading days and still being at breakeven... simple 1:4 ratio. This is only one small aspect to keep in mind. As I mentioned above, if strategies or software is pitched with high percentage win rates - run. You need to understand the market acts differently and past results do not indicate future performance. Everyone is a genius in a bull market, remember. You do not need to go looking for the silver bullet. These strategies do not exist, instead spend the time working on strategies that can be consistent in various market conditions. This is no small task, your strategy might identify entries in a counter trend differently than it would in say a ranging market. The answer to resolve this, is BACKTESTING Don't just run your strategy on replay mode, although @TradingView has a great little tool for this. Spend the time to look at things such as "repainting" this means that when your strategy triggers an entry, does it disappear and reappear. If so, do some manual back testing. Then Dig deeper and analyse the type of market condition it was more profitable or less profitable. This could be things like "I lose more on a Monday, compared to other days" or when the market goes sideways, It triggers too many trades. I've written several articles here on pure education. Here's a few examples. In this post (worth clicking on) it has a whole bunch of lessons inside. Think of trading like you would a university course, there's plenty to learn but you can have some fun along the way! Stay safe! Disclaimer This idea does not constitute as financial advice. It is for educational purposes only, our principle trader has over 20 years’ experience in stocks, ETF’s, and Forex. Hence each trade setup might have different hold times, entry or exit conditions, and will vary from the post/idea shared here. You can use the information from this post to make your own trading plan for the instrument discussed. Trading carries a risk; a high percentage of retail traders lose money. Please keep this in mind when entering any trade. Stay safe.
COINBASE:BTCUSDEducation
by Mayfair_Ventures
37
An AI Crypto Opportunity~OptimusAI Optimus AI - LSE:OPTI - DSS Bressert high cross suggests potential decline before a move higher - Could be 11-15 days of downward/sideways price action as per pattern on chart - An ideal new entry for me would be between 0.117 and 0.113 with…the a higher low established @ 0.095 being a stop loss point - This offers a nice Risk/Reward Ratio of 14 (160%+ potential profit vs – 12% loss). This AI token was recently brought to my attention by the great jonbking from one of his brilliant ChartWizardsNFT weekly reports which I highly recommend. The chart is just my angle of play for this one, and it might not play out like that at all, I'm intrigued though to see what happens over the coming 2 to 4 weeks PUKA
O
by PukaCharts
Analyzing Nasdaq-100 $NAS100 for Potential Double Top ReversalThe NAsdaq-100 (NAs100) index is currently displaying a classic double top formation on the weekly timeframe, signaling a potential bearish reversal following a robust 7-month rally. This surge was primarily propelled by a select group of companies utilizing AI technology. A Double Top pattern, characterized by two almost equal peaks, serves as a bearish reversal indicator. It suggests a potential shift from an uptrend to a downtrend, signifying a slowdown in buying pressure and an emerging influence of sellers in the market. To confirm a downtrend, keen observation of the critical support level at 14,500 is vital. A breach below this level would not only cross the intersecting trendline but could potentially prompt a 5% decline in the index in the short term. Such a move could mark the beginning of a bearish market sentiment. An intriguing correlation exists with NVIDIA's chart, which shares similarities with this pattern. Thus, it's imperative to closely monitor this tech giant's performance, given its significant influence on the broader tech sector and, consequently, the entire market. This information should be viewed as guidance and not definitive instructions. Thorough research and consultation with a financial advisor are essential before making any investment decisions.
OANDA:NAS100USDShort
by Blast910
SP500 - Consolidation before ATHI think that SP500 wont go much lower than where it is right now (Yellow mark), A consolidation for a month or two is more likely before testing ATH. In worst case scenario we could go down to the purple marked area, that is also where the 50% level sits from ATH to the bottom of 2022. A Break below that level would be devastating for the markets which would mean lower for longer. I see many are calling for a new low of this "bearmarket" which is not my opinion at all, I think we are in a bullmarket since the bottom 2022 and that the recession everyone talks about already happened. I see no reason for us to not break ATH within 6-12 months from here.
SP:SPXLong
by WealthNode