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Artificial_intelligence

FET/USDT Soon to break from triangle?This is how i would trade FET/USDT. The chart shows that the price movement occurs within a bullish triangle. Enter a long position when/if the price out of the triangle to the upside. -------------------- Targets: 1: 0.47 2: 0.5 3: 0.52 4: 0.55 5: 0.57 6: 0.59 Trade safely! -------------------- About Fetch.ai: "Fetch.ai is an AI-backed blockchain environment that helps users create a decentralized digital economy within a single ledger. Users can create agents that act on the behalf of individuals, organizations, devices, and services. All these agents are connected and can make transactions and communicate with one another." Source: kriptomat.io
Long
by Droz_TA
5
RU AI? Elliott WaveIf you find this info inspiring/helpful, please consider a boost and follow! Any questions or comments, please leave a comment! Also, check out the links in my signature to get to know me better! This would be the BEST case scenario. Lots of ways to count but again this is the count with the quickest turn around. Because of the lack of conviction, it has to prove the turn to me. $3.00 is the ideal area for this idea. Then it need to put an impulse up with a correction facing down as illustrated. Cheers!
NYSE:BBAILong
by CryptoKnee
Disinflation – Fact or Fiction?CME: S&P Technology Select Sector ( CME_MINI:XAK1! ) The U.S. consumer price index (CPI) rose 0.5% in January and +6.4% year over year, reported the Bureau of Labor Statistics (BLS) on Tuesday. Excluding food and energy, Core CPI increased 0.4% monthly and 5.6% yearly. Economists surveyed by Dow Jones expected the headline CPI to grow 0.4% monthly and 6.2% yearly. Expectations for core CPI changes were 0.3% and 5.5%, respectively. On Tuesday, US stocks fell at open in response to the hotter-than-expected CPI report. But major indexes recovered somewhat at the close of the day. The Dow Jones Industrial Average slipped 156 points, or -0.46%, after initially losing over 300 points. The S&P 500 was flat at 4,136 (-0.03%), and the Nasdaq 100 gained 68 points to 11,960. US Treasury yields ticked higher. 2-year yield went up 94 ticks to 4.628%, while 10-year yield lifted 36 points to 3.755%. Bond investors widely expected the Federal Reserve to raise rates by 25 basis points to the 4.75%-5.00% range in March. Mega Trend in US Inflation While we usually focus on the percentage changes in inflation, CPI data are constructed as indexes, each using 1982-84 price data as a baseline at 100. January CPI reading of 299.170 is 0.8% above December of 296.797. It is up 6.4% from 281.148 in January 2022 (Data in this section is from Table 1 in the January CPI release). Interpretation: Today, the average price of goods and services in the U.S. is about 3 times as high as the price level from nearly four decades ago. This translates into a compound annual growth rate (CAGR) of 2.93% for the past 38 years. Insights: Long-run inflation rate is almost one percentage point higher than the Fed policy target. With less restrictive monetary policy on one hand, but more expansive fiscal policy on the other, the 2% goal appears to be far fetching. Barring a major recession, I expect the US inflation to stay above its 3% historical average in the foreseeable future. In the past four decades, cost of many consumer goods tripled in price, including Food (+219%), Energy (+183) and Core CPI (+202%). But there are noticeable outliners: • Tobacco and smoking products, +1289% • Motor vehicle insurance, +559% • Medical care services, +502% • New vehicle, +77% • Apparel, +28% January CPI Readings Before diving into the data, we should know that when BLS releases CPI data in February, it readjusts the weighting to account for the latest changes in the cost of living. For 2023, CPI weights are updated annually based on a single calendar year of consumer expenditure data. This reflects a change from prior practice of updating weights biennially. The changes of weighting by product and service category in the January report: CPI Category Old Weight New Weight Change Housing 46.40% 44.40% +2.0% Entertainment 5.70% 5.40% +0.3% Food 14.50% 14.40% +0.1% Clothing 2.50% 2.50% 0.0% Other 2.60% 2.70% -0.1% Medical 7.70% 8.10% -0.4% Education 5.20% 5.80% -0.6% Transport 15.30% 16.70% -1.4% Rising shelter costs accounted for nearly half the monthly price increase. The component accounts for more than one-third of the index and rose 0.7% on the month and was up 7.9% from a year ago. Energy also was a significant contributor, up 2% month over month (M/M) and 8.7% annually, while food costs rose 0.5% M/M and 10.1% annually. Food: Up 0.5% M/M in January from 0.1% in December. Annualized inflation is 10.1%. Energy: Up 2.0% M/M in January from -3.1% in December. Annualized gain is 8.7%, of which, gasoline (+1.9%), diesel (+27.7%), electricity (+11.9%), and natural gas (+26.7%). Shelter: Up 0.7% M/M in January from 0.8% in December. Up 7.9% Y/Y. Transportation: Up 0.9% M/M in January from 0.6% in December. Up 14.6% Y/Y. While the headline CPI ticks down from 6.5% to 6.4% on an annualized basis, January price increase of 0.5% is significantly higher than the December reading of +0.1%. Overall inflation level is undoubtedly on the way down, but price increases from food, shelter and transportation are very sticky and don’t normally go down once moving up. Is disinflation a fact or fiction? I think we are somewhere in between, in the Twilight Zone. The US Stock Market Narratives In the past three years, the stock market narratives have changed several times: • After the initial pandemic hit in March 2020, US stocks staged a very impressive bull run. Growth drivers were US companies innovating with new products and services and catering for “work-from-home” employees and “play-at-home” consumers. • 2022 started with a major geopolitical crisis, pushing stocks sharply down. Fed rate hikes from March 2022 dragged major stock indexes into bear market territory. • Since inflation peaked in July and the Core CPI reading confirmed it in October 2022, US stock market began to rebound, centering on the notion of “Fed Pivot”. More recently, investors are caught by conflicting economic data. • Unemployment at 50-year low vs. Big Techs pushing rounds of massive lay-offs; • Lower inflation rate vs. “Eggflation” and “Shrinkflation” that consumers experience; • Whether the Fed is hawkish or dovish depends on the next dataset. While investors try to make sense of all these, stock market moves sideways. The 30-day returns for Dow and the S&P are -0.83% and +3.20%, respectively. Are we at the beginning of a new bull market? Or is it a bear relief, a temporary rebound from a bear market? To make an assessment, you need to know how many more rate hikes could be (pick a number between 1 and 4), and what the terminal rate would be (5.0%, 5.25%, 5.5%, 5.75%, or 6.0%)? I have no idea. When uncertainty becomes the dominant narrative, it’s time to explore opportunities that promise more certainties. AI - New Engine for Economic Growth One visible exception is Nasdaq 100, which gained 8.9% in the past month. S&P Technology Select Sector Index (XAK) had an even higher return at 9.5%. Most Big Tech companies were vastly overstaffed during the pandemic years. With stock prices cutting by two thirds or more, they are forced to live within their cash flow. Cutting off unprofitable divisions and laying off redundant staff help them survive in leaner years. This is certainly very painful for the tech workers and their families. To investors, Big Tech may have transformed itself from lofty Growth Stock to reasonably priced Value Stock. For Nasdaq 100, its trailing 12-month price/earnings ratio was 34 one year ago. It is 23.63 as of February 10th, according to Birinyi Associates. Technological breakthroughs have always powered the US economy to growth for the long run. Personal computers in the 1980s, Internet for the 1990s, smart phones and mobile internet in the 2000s, and electric vehicles in the 2010s, just to name a few. In my opinion, Artificial Intelligence will be our economic growth engine in 2023. While AI is nothing new, the viral success of ChatGPT has sensationally changed the game. Its popularity among mainstream consumers helps form strong support for all publicly traded companies in the AI sector, not just for OpenAI and its parent Microsoft. While writing this report, I asked ChatGPT one question: “Please show me the top-10 publicly traded stocks in the AI field.” Below is his/her/its answer: 1. Alphabet Inc. (GOOGL) - Google's parent company, which has been investing heavily in AI technology and applications. 2. NVIDIA Corporation (NVDA) - A leading company in graphics processing units (GPUs), which are commonly used in AI training and inferencing. 3. International Business Machines Corporation (IBM) - A company that has been developing AI technologies for several years and has a range of products and services, including the Watson AI platform. 4. Microsoft Corporation (MSFT) - Microsoft has invested heavily in AI technologies, and its Azure platform provides a range of AI tools and services. 5. Amazon.com, Inc. (AMZN) - Amazon's AI capabilities are used in a variety of products and services, including the Alexa voice assistant and its recommendation algorithms. 6. Baidu, Inc. (BIDU) - A Chinese company that has been investing heavily in AI technologies, including natural language processing and autonomous driving. 7. Alibaba Group Holding Limited (BABA) - A Chinese company that has also invested heavily in AI technologies and has been developing AI applications for e-commerce, logistics, and finance. 8. Intel Corporation (INTC) - A company that has been developing hardware specifically for AI, including custom processors and FPGA chips. 9. Twilio Inc. (TWLO) - A company that provides cloud-based communication services and has been investing in AI technologies to improve its services. 10. Advanced Micro Devices, Inc. (AMD) - A company that develops CPUs and GPUs for AI applications and has been investing heavily in machine learning and other AI technologies. This is very impressive. ChatGPT not only gives me a list of the companies, but also highlights each company’s involvement in the AI field. Since ChatGPT doesn’t have data beyond 2021, we come back to our trusty TradingView to pull out 1-year return charts. What a brutal year! Only Microsoft manages to gain 5.3%. The rest in the list had negative returns from -10% to 40%. Twilio is the loss leader, yielding -66.8% in the last 12 months. This drives home the two major risks in new technology investing: Firstly, at an early stage, you have no idea which technology will win out at the end. Is it direct current (DC) or alternative current (AC)? Airship or Aircraft? VHS or Betamax? Cable TV or satellite TV? And TDMA or GSM for cellular signal? Secondly, you do not know which company will become a leader in a winner-take-all market. If you go back in time and invest in the new automobile industry in 1908, you have a 99% chance of losing money, unless you luckily picked Ford, General Motors, or Chrysler out of the 253 publicly traded automakers. Likewise, if you invested in mobile phone companies in early 2000, you likely picked Motorola, Blackberry, Ericsson, or Nokia. However, when an outsider Apple launch a breakthrough product, iPhone 1 in 2007, it knocked out all leading cellphone markers and became the ultimate winner. Right now, I predict that most electric vehicle makers will go out of business in five years, except for Tesla, and maybe BYD. The Case for S&P Technology Select Sector Index Consistently picking winners in emerging technologies is extremely difficult. Even the smartest stock picker could not beat the market. Take Cathy Wood’s Ark Innovation ETF (ARKK) as an example, its cumulative returns comparing to the Nasdaq 100 were: • 1-year: -42.8% vs. -12.4%; • 5-year: -2.1% vs. +85.1%; • Since Inception (8-year): +100.3% vs. +203.5%. Diversification is a very powerful concept in investing, notably in times of uncertainty. Concentrating on stock picking, many active managers tend to cloud objective assessment with their own conviction and lose sight of potential market leaders amid emerging mega trends. Passive investment via index futures focusing on the high-tech sector allows us to express our conviction and capture emerging trends. XAK is one of the 11 sector indexes in the S&P 500. Its top holdings are Apple (AAPL), Microsoft (MSFT), Nvidia (NVDA), Visa (V), Mastercard (MA), Broadcom (AVGO), Cisco (CSCO), and Adobe (ADBE). My research shows that S&P Technology Select Sector (XAK) outperformed many Big Tech stocks and ETFs in both short-term and long-term. According to Fact Sheet published by S&P, as of January 31st, the annualized historical returns are -15.22% (1Y), 13.82% (3Y), 16.22% (5Y) and 18.48% (10Y). Total returns since inception are 6,425.9%. You may invest in one of the technology sector ETFs, such as SPDR XLK, iShare IYW, and Vanguard VGT. But CME E-Mini S&P Technology Select Sector Index Futures (XAK) has distinguished features over ETFs. Firstly, XAK has five quarterly contracts to choose from: March, June, September, December and March 2024. This allows us to evaluate strategies focusing on expected future value of the index, up to 1 year ahead. Secondly, you could place either Long or Short position, allowing both bullish and bearish strategies to implement. Thirdly, initial margin of placing 1 contract is approximately 35% of the notional value. This built-in leverage could enhance the returns if market moves in the right direction. Finally, by holding a long position on the quarterly futures contract and rolling it each quarter, investors could replicate the strategy of holding the stocks or the ETFs. Happy Trading. Disclaimers *Trade ideas cited above are for illustration only, as an integral part of a case study to demonstrate the fundamental concepts in risk management under the market scenarios being discussed. They shall not be construed as investment recommendations or advice. Nor are they used to promote any specific products, or services. CME Real-time Market Data help identify trade set-ups and express my market views. If you have futures in your trading portfolio, check out on CME Group data plans in TradingView that suit your trading needs www.tradingview.com
CME_MINI:XAK1!Long
by JimHuangChicago
3
Oceanusdt AI AI has shown what it is capable of in last few month. Most of the crypto coins associated with AI have formed the bottom and have nice zone of accumulation. OCEAN is main AI crypto protocol today in crypto. What if right now is forming next trend of 2023 year in crypto and we just blinded with bearishnes of market. Who expect for some coins make x10 in next 6 month, i think nobody. some info: 637 days from ATH 1.9 in april 2021 231 days in accumulation zone Botoomed at 0.12 ICO price was 0.12 my targets: TP1 0.55 TP2 0.95 TP3 1.25 TP4 1.9 if we brake i cant imagine whats price go next.
OLong
by BigCryptoUA
1
Is MARSH Going For It's ATH of 30X!?? Same Like AI Coins?!KUCOIN:MARSHUSDT MARSH is Same Project as GRT (The graph) Market Cap of GRT is $1,166,562,295 ($1.1 Billion) and ranked at 46 CoinMarketCap Now, MARSH has just $1,390,317($1.4 Million) of Marketcap and ranked at 1345 on CoinMarketCap As we know that this whole bull market in crypto right now is driven by AI narrative and GRT is also playing a role in this narrative. So at least MARSH Should get 100-200 Million $ Market Cap Now, lets Look at the Charts: MARSH Broke out from the big downtrend and now started a new cycle. MARSH was in accumulation for 245 days and currently it broke out from that accumulation, retested it and now going for a parabolic move ahead For Now the Targets should be at $0.26-$0.43 and $0.65 If we see this whole move as a parabola and the narrative of managing the Big data gets hyped , MARSH can touch it's previous All Time Highs Targets for that would be $1.6-$1.8 As we should always have an invalidation in our setup so to exit from the coin and to avoid total loss of capital Invalidation level would be Daily candle closing below $0.1 On the Other Hand GRT has made a breakout and can go for minimum 2x from current market price which will push the demand for alternative projects of GRT..which is MARSH to have a exponential hype growth in this bull run. Thank you reading :) Please follow and like the post as i hope i gave you some value read 👍
Long
by Traders_skooll
2
FET|USD Soars 326% in 30 Days: A Rapid Rise ReflectionsFetch.ai is a decentralized platform that provides AI-powered solutions for various industries, including finance, transportation, and energy. It uses blockchain technology to allow for secure and efficient exchanges of data and value, enabling the creation of autonomous economic agents. Fetch.ai offers a range of products, including a decentralized marketplace for data exchange, a digital twin platform for modeling real-world systems, and a suite of AI tools for businesses and developers. The platform enables efficient, secure, and decentralized transactions between individuals and organizations, allowing for a more efficient and fair exchange of value. Fetch.ai's vision is to create a decentralized, self-organizing, and autonomous digital economy, where data, value, and tasks are managed and executed by autonomous agents, allowing for more efficient and effective transactions. By leveraging the power of AI and blockchain technology, Fetch.ai aims to revolutionize traditional industries and create new opportunities for businesses and individuals. A 1-day chart analysis of Fetch.ai (FET) can provide valuable insights for short-term holders of the cryptocurrency. By examining the price trends, volatility, and volume of Fetch.ai over the past day, it is possible to make predictions about the short-term performance of the asset. For instance, a sudden surge in the price of Fetch.ai, accompanied by high trading volume, can indicate a sudden increase in demand for the asset, which can be a good opportunity for short-term traders to take advantage of the price increase and sell at a profit. On the other hand, if the chart shows a lot of volatility and price swings, it could signal a lack of market stability, which may be a concern for short-term holders. Additionally, a 1-day chart analysis can also provide insights into the impact of any major events or news on the price of Fetch.ai. For example, if there was a significant spike in price following the announcement of a new partnership or product launch, this may indicate that the market is optimistic about the potential of the project and that short-term holders may benefit from this positive sentiment. Overall, a 1-day chart analysis can provide valuable information for short-term Fetch.ai holders to make informed decisions about their investments. By monitoring trends and staying informed about market conditions, they can make more informed decisions about buying and selling Fetch.ai.
F
by SuzanneSpisak
1
SOUN | A.I. Play Oversold | LONGSoundHound AI, Inc. develops independent voice artificial intelligence (AI) platform that enables businesses across industries to deliver high-quality conversational experiences to their customers. Its products include Houndify platform that offers a suite of Houndify tools to help brands build conversational voice assistants, such as automatic speech recognition, natural language understanding, wake words, custom domains, text-to-speech, and embedded voice solutions The company is headquartered in Santa Clara, California.
NASDAQ:SOUNLong
by DivergenceSeeker
2
TOP ASSETS of the AI NARRATIVE | PART 2In the comments of “Top AI assets part 1” you mentioned some more promising projects, the main product of which is AI. We decided to tell you more about them and check their metrics iExec RLC iExec is considered as a project with the AI narrative, but it is partly wrong. The main specialization of iExec is providing computing power and organizing the market around this sector. iExec forms large volumes of data and if we check their products, we will see that these volumes of data are being used actively but we have to understand that this is a side line of their business. In general, iExec as a project is more like Flux than any project in the AI narrative. Metrics of the $RLC token: Price: $1.75 ATH price: $11.6 Market.cap: $141m ATH market.cap: $800m FDMC: $152m Over the past 2 months, the $RLC token has grown more than 2 times. We do like iExec as a project with its own goals and values and that’s why we listed it on our platform for trading Vectorspace AI The team focuses on creating AI and ML solutions in space biosciences, general life science and capital markets. So far the team has launched two products: A financial product for protecting investment portfolios and finding stock and cryptocurrency market correlations for long or short trades. A product for biosciences in a Protein Relationship Networks area. Metrics of $VXV token: Price: $0.57 ATH price: $18.1 Market.cap: $27m ATH market.cap: $347m FDMC: $28m Over the past 2 months, the $VXV token has grown more than 2 times. Matrix AI Network Project that focuses on an AI integration directly into the crypto. Matrix has 4 main products: Mania - a platform for trading AI algorithms in an NFT type Airtist - a generative art creation platform for NFT Manta - an automatic machine learning platform Matrix - an AI service platform Metrics of $MAN token: Price: $0.02254 ATH price: $1.7 Market.cap: $4.8m ATH market.cap: $6m FDMC: $22.5m Over the past 2 months, the $MAN token has grown more than 4 times. Numeraire Platform for Data Science and Machine Learning specialists. Project supports DS and ML specialists, conducts predictive ML contests and builds its own progressive community. Metrics of $NMR token: Price: $16.7 ATH price: $84 Market.cap: $98m ATH market.cap: $487m FDMC: $183m Over the past 2 months $NMR has grown by 64% Streamr A project for data transferring within web3. Streamr is primarily an infrastructure project, preparing the basis for the data economy. Metrics of $DATA token: Price: $0.03308 ATH price: $0.3102 Market.cap: $25m ATH market.cap: $223m FDMC: $28m Over the past 2 months $DATA has grown by 50% Conclusion As we’ve told you earlier, the benefits that AI offers, along with its increasing adoption and application, guarantee the expansion of AI projects and a profitable market. Let us know in the comments about more AI projects we should look at. Share your investing or trading experience with such projects.Thanks for reading!
Education
by Samura0x
6