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Artificial_intelligence

OXT.X Price Prediction, Orchid cryptocurrency AI RecommendationsNew Robot factory from Tickeron Trading Results for last 12 months OXT.X AI Robots (Signals Only) AI Robot's Name P/L Day Trader: Crypto Pattern Trading in High-Volatility Markets (TA) 14.37% Swing Trader: Advanced Crypto Pattern Trading (TA) 10.22% Swing Trader: Crypto Pattern Trading at Trend Reversal Points (TA) 4.36% Market Cap The average market capitalization across the group is 95.73M. The market cap for tickers in the group ranges from 95.73M to 95.73M. OXT.X holds the highest valuation in this group at 95.73M. The lowest valued company is OXT.X at 95.73M. High and low price notable news The average weekly price growth across all stocks in the group was 3%. For the same group, the average monthly price growth was -4%, and the average quarterly price growth was 72%. OXT.X experienced the highest price growth at 3%, while OXT.X experienced the biggest fall at 3%. Volume The average weekly volume growth across all stocks in the group was -64%. For the same stocks of the group, the average monthly volume growth was -78% and the average quarterly volume growth was -92%
by Serhii_Bond
BIOR Price Prediction, Biora Therapeutics AI RecommendationsNew Robot factory from Tickeron Trading Results for last 12 months BIOR AI Robots (Signals Only) AI Robot's Name P/L Swing Trader: High Volatility Stocks for Active Trading (TA&FA) 78.65% Swing trader: Downtrend Protection v.2 (TA) 51.26% Day Trader, Popular Stocks: Price Action Trading Strategy (TA&FA) 46.98% AI Robots (Virtual Accounts) AI Robot's Name P/L Swing Trader ($2.5K per position): High Volatility Stocks for Active Trading (TA&FA) 106.85% Swing Trader ($4K per position): High Volatility Stocks for Active Trading (TA&FA) 93.69% Swing Trader ($1.5K per position): Hedge Fund Style Trading (TA&FA) 88.47% Tickeron is a leading US-based financial technology company specializing in the use of artificial intelligence to deliver user-friendly predictive analytics and search engines, including tools by which to find trading and investing opportunities. With its suite of AI-powered tools and platforms like the automated trading with AI Robots, discovering trading patterns with AI Patterns Search Engine, forecasting market movements powered with AI Trend Prediction Engine, identifying live opportunities with AI Real Time Patterns as well as resulting actionable insights from trades with AI Buy / Sell Signals. The products exhibit Tickeron's success in the use of artificial intelligence to avail solutions in the financial market that make it easy for day traders and long term investors alike to ease their decision making burden with astonishingly complex analysis and predictions.
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by Serhii_Bond
SOL.X in +3.52% UptrendSOL.X in +3.52% Uptrend, growing for three consecutive days on February 02, 2024 Moving higher for three straight days is viewed as a bullish sign. Keep an eye on this stock for future growth. Considering data from situations where SOL.X advanced for three days, in 243 of 335 cases, the price rose further within the following month. The odds of a continued upward trend are 73%. Price Prediction Chart Technical Analysis (Indicators) Bullish Trend Analysis The Momentum Indicator moved above the 0 level on January 28, 2024. You may want to consider a long position or call options on SOL.X as a result. In 71 of 108 past instances where the momentum indicator moved above 0, the stock continued to climb. The odds of a continued upward trend are 66%. The Moving Average Convergence Divergence (MACD) for SOL.X just turned positive on January 29, 2024. Looking at past instances where SOL.X's MACD turned positive, the stock continued to rise in 35 of 53 cases over the following month. The odds of a continued upward trend are 66%. SOL.X moved above its 50-day moving average on January 26, 2024 date and that indicates a change from a downward trend to an upward trend. SOL.X may jump back above the lower band and head toward the middle band. Traders may consider buying the stock or exploring call options. CRYPTOCAP:SOL Robot factory Trading Results for last 12 months SOL.X AI Robots (Signals Only) AI Robot's Name P/L Swing Trader: Crypto Pattern Trading at Trend Reversal Points (TA) 14.01% Day Trader: Crypto Pattern Trading in Low-Volatility Markets (TA) 4.62% Day Trader: Crypto Pattern Trading in High-Volatility Markets (TA) 3.93% Market Cap The average market capitalization across the group is 43.79B. The market cap for tickers in the group ranges from 43.79B to 43.79B. SOL.X holds the highest valuation in this group at 43.79B. The lowest valued company is SOL.X at 43.79B. High and low price notable news The average weekly price growth across all stocks in the group was 9%. For the same group, the average monthly price growth was 2%, and the average quarterly price growth was 333%. SOL.X experienced the highest price growth at 9%, while SOL.X experienced the biggest fall at 9%. Volume The average weekly volume growth across all stocks in the group was 27%. For the same stocks of the group, the average monthly volume growth was -53% and the average quarterly volume growth was 703%
CRYPTOCAP:SOLLong
by Serhii_Bond
BFRG AI penny stock ready to SHORTI have been in BFRG since the November earnings it has done 300% over that time almost all of it in one week. There are no options on this one. The RSI indicator tells me that it is now overextended and overbought. This is confirmed by a reversal signal triggering on this 60-minute chart with a mass index indicator below it. The topping candles with long wicks is another hint of the price action underway. I am closing my long position over 300% gain and instead look for a short with the profits to retrace from present price to to the 0.382 Fib retracement at about 5.65. Stop loss above the wicks at 7.7. I expect the trade to last this week and part of next.
NASDAQ:BFRGShort
by AwesomeAvani
AI in trading - 6 hottest topics (part 2/2)Alternative Data ADs provide a better picture of a company's situation, raw materials, currencies. It also allows us to assess the "current state" (nowcasting) of significant indicators. Those data make trading signals better, more precise, less risky and more profitable. It is a revolution accompanying the AI revolution and even preceding it. In my opinion, it is more important today than AI, which is only in its early stages (despite many impressive achievements). In my opinion, through AD, funds can earn more and build their competitive advantage over others. ADs are not part of Artificial Intelligence. An example of AD is credit card sales data. This data can be used to predict the financial performance of companies. If we have historical data, then in the simplest case, to make forecasts, all we need is a spreadsheet! And when we are interested in more advanced indicators of future profitability, such as consumer spending patterns, brand loyalty, switching between products/brands, trending moods, competitors performance, models created using Machine Learning can come into play. With the increasing number of data sources and the complication of forecasting models, traditional ones will be replaced in a considerable part or even entirely by AI/ML-based models. For a broader discussion of Alternative Data, see the separate article in this issue. Visualization It is easier for humans to look than to think. "Analysis" by sight developed long before abstract thinking. There is something severe behind this remark. It is much easier for us to understand a situation when it is shown using images rather than just a verbal description. Therefore, as much as possible, use visual aids - graphics, pictures, diagrams, or charts to illustrate data, situations and processes. Indeed, it is good practice to consider what goal we want to achieve, define the target group and identify which parts of the message will benefit from such enhanced presentation. The same applies to respecting the simplicity of the message, playing with colours and ensuring maximum readability. Another good practice is to provide a benchmark, or reference point, to which we compare some quantity. Our mind performs better by observing the differences between some benchmarks and the current indication. An excellent practice is to make it easy for the audience to understand the situation quickly. Thus, when preparing visual aids, try to help them understand the situation as quickly as possible – for example: whether we are in the realm of "normal" or have already gone beyond it. All key, critical processes should have some sort of graphic representation. It should allow for a quick assessment of the situation, especially in unusual or crises. So let’s say I give you a colour scheme, where green means everything is going well, orange – attention required, and red – we have a critical situation. Sound familiar? It should. As AI matures, the amount of information and complexity of systems (and portfolios) will only increase. Therefore, using standardized metrics within a company to illustrate key processes is something worth developing as a valuable skill. Let me say it another way to emphasize the particular importance of this topic - the ability to graphically present important processes for a company is a competence worth developing. It is worth discussing what indicators to use, what types of graphs, what colours, and what schemes to facilitate and enhance understanding, ability, and speed of decision making. Visual communication is one of the essential elements of building and consolidating a company's structural intelligence. Automatization Automatization is the critical process underlying the use of artificial intelligence. It involves gradually learning and automating more functions of human intelligence. The ultimate stage of AI development in trading is full machine autonomy with a level of perception, "thinking", decision-making far exceeding human capabilities in every aspect. What does this mean for traders and funds now and in the future? Now Today, automatization is one of the main topics because it takes the burden of routine activities and responsibilities off the shoulders of traders. One of the main problems that traders complain about is excessive workload and information overload. The primary candidates for automation are routine activities that require no intellectual input. And over time, more and more activities will be automated - and more about that in a moment. Suppose we have a great trader. Only some of his activities add value, and he should focus on them. You can consider using supporting programs or someone else to help with the remaining tasks. What should not be automated are non-routine decisions, decisions in exceptional or critical situations and those requiring synthetic expertise beyond the reach of AI tools. Instead, you can automate the execution of decisions in critical situations with confidence. In an extreme situation, the trader only presses the appropriate key. A program then tries to escape from the market as quickly as possible. It tries to use liquidity, reduce costs and minimize the negative impact of the large order it exits. In nine out of ten situations, it will do this better than the trader and, in the case of substantial orders, in ten out of ten. Automatization will expand to include more and more activities, including non-routine ones, over time. In the future To understand what automatization in a fund will look like in the future, we must first learn the decision-making process of a discrete trader or automated system. The decision-making process consists of all the elements that lead from the initial analysis (what to trade and where to trade it) through the choice of location, entry, position management, exit, to post-trade analysis. There can, of course, be many more of these steps if we take a more detailed approach (and the largest funds do). Automatization here is about taking a single element of the decision-making process and trying to refine it first (to find the best practices) and then automate it. It would also be beneficial to provide a feedback channel so that we and, in time, the AI system can improve this element based on the incoming and analyzed data. In short, we want the system to learn on its own. In short, we automate best practices at each step and provide feedback so that the system learns and improves. On the other hand, entry automation may involve breaking positions into smaller ones, examining order structures above and below, creating and executing entry strategies to minimize cost and adversarial price moves. Hiding positions and maximizing positions for the best signals may also be part of the automation. Summary We have discussed six of the "hottest" topics currently occurring in the Artificial Intelligence field. Two are sure to be the most important: XAI and Alternative data. The first - because it opens up a powerful new trend of adjusting the latest tools to a trader's level of understanding. We already know that a gradient descent on a differentiable manifold tells him nothing. The second - because it is alternative data that gives traders and funds their main competitive advantage today. In conclusion, it is worth repeating one important thought: the AI revolution is just beginning. It will completely change our world and ways of investing. This process is incredibly fascinating. The New City Trader was born out of a desire to share this fascination. If you liked this post, give it a boost 🚀 and drop a comment so we know to publish more for you. Cheers! Follow: www.tradingview.com
Education
by drSwierk
AMD - Approaching All Time HighsHello Traders, welcome to today's analysis of AMD. -------- Explanation of my video analysis: After the massive breakout in 2016 we saw a rally of more than 4.500% on AMD. This rally was perfectly followed by a correction of 70% in 2022. As mentioned in my analysis, I am now waiting for a retracement back to the previous structure and if we have enough bullish confirmation, I will then look for potential trading opportunities. -------- I will only take a trade if all the rules of my strategy are satisfied. Let me know in the comment section below if you have any questions. Keep your long term vision.
NASDAQ:AMD
by SwingTraderPhil
24
AI's Insight from News Cross-Checked with Pattern Recognition 👁Dear Investors, I believe that PLTR might fall to $13.2 in the coming months. Here, I made a short idea from the insights of the different AI algorithms I use for speculative analytics. News Analytics - Natural Language Processing 1 Palantir's revenue growth has slowed in recent quarters. The company's revenue grew by 31% year-over-year in the first quarter of 2023, but this was down from 54% growth in the fourth quarter of 2022. This slowdown in revenue growth could be a sign that Palantir is facing challenges in the market. 2 Palantir's gross margin has been declining. The company's gross margin was 74% in the first quarter of 2023, down from 77% in the fourth quarter of 2022. This decline in gross margin could be a sign that Palantir is having to invest more in sales and marketing to drive revenue growth. 3 Palantir has been losing market share. The company's market share in the data analytics market is estimated to be around 1%, according to Gartner. This is a very small market share, and it has been shrinking in recent years. This could be a sign that Palantir is not as competitive as its rivals. 4 Palantir's stock price has been volatile in recent months. The stock price has fallen by more than 50% from its all-time high in August 2021. This volatility could be a sign that investors are uncertain about Palantir's future. Cross-Checking Logic Of course, there are also some positive news about Palantir that could suggest that the stock price will not fall to $13.2. For example, the company has a strong pipeline of new business opportunities. Palantir is also investing heavily in research and development, which could lead to new products and services that could boost the company's growth. Chart Pattern Recognition - Deep Neural Networks Between the two red trendlines, my neural networks believe to be a bearish channel. Your human eyes can see how Palantir rejected the upper trendline on 11 October and 21 November. I marked these price points with red ellipses. The channel had some bullish aspects when the bottom trendline acted as a support on 02 November and possibly today. Look at the left green arrow. Palantir's last rally related to this point. Today, the stock is near the same trendline again, and there's a chance that it can reignite a similar rally. The white arrow shows this possible scenario. I, however, feel skeptical that history would repeat itself. Ensembling Technical Indicators I asked different AIs to weigh technical indicators to represent their opinions. I ensembled the results of these AI opinions and selected MACD, RSI, and volume to simulate AI's insights in a way you can reproduce on your chart without AI. From declining volume bars I suspect the continuation of the bearish trend. The price action has been bearish over the last week, and I can't see the volume to reverse it. I can see extreme sell volumes every now and then, but they seemed to escalate the bearish trend. I don't see where the orders are that could absorb the end of the bearish trend. RSI tried to make a bullish cross below the volume indicator, but it happened to be a failed cross. RSI reversed as it crossed the SMA, which suggests a lack of bullish momentum. The potential bullish signal turned out to be an indication of how weak bulls are. At the same time, MACD has been going on the bearish side with a strong momentum, and periodically pulsing bearish momentum without signs of weakening. Overall, these indicators simulate what my AI bots believe about the market. Their ensembled opinion seems to be a bearish continuation. Chart Explanation I already explained the red bearish channel, the channel contacts, the indicators, and a potential bullish scenario, but I think bears enjoy a better risk-reward ratio. Theoretically, channel breakdown could pull the price into the support level of 13.2. I've got a green line at this level. Thus, the target price of a short could be within the green box around this level where the bearish trajectory's red arrow shows. The stock might reverse or not at this level. I'll have to reassess if I see the playout of my bearish expectation. Conclusion Ultimately, the direction of Palantir's stock price will depend on a variety of factors, including the company's financial performance, the overall market conditions, and investor sentiment. It is always important to do your own research and consult with a financial advisor before making any trading decisions. Kind regards, Ely
PShort
by Elysian_Mind
9
ARM: Good Share, Bad DerivativeOverview Arm Holdings PLC ( NASDAQ:ARM ) recently had its IPO back in September 2023. Since then it has bounced around between $46-$78 and I think it's gearing for a rally. Unfortunately there is not much room for a confident technical analysis because of ARM's minimal chart history but I believe this company is definitely worth adding to the Watchlist. ARM supplies semiconductor technology and has made it a company mission to lower carbon emissions. From my understanding they are attempting to lower their technology's carbon footprint by maximizing the processing power of their chips per every one watt of energy. Imagine this as the equivalent of increasing a vehicle's total miles per gallon (MPG). I have come under the impression that their technology is delivered to a plethora of companies including NVIDIA and Google who, in turn, use it to develop A.I. projects. It is this aspect that makes me speculatively bullish on the company's outlook. Speculative Projections According to their official website ARM technology can be found in nearly every modern device and is used by "70% of the world's population." ARM's market cap currently rests around $69 billion USD which places it around 1B shares. Since its technology is fueling what is essentially an artificial intelligence bubble within the stock market, it is my personal opinion that a $500B market cap is reasonable if not conservative. This would place ARM's share price around $500 which is a 631% upside from the current share price of $68.34. If you read my other idea on NVIDIA, I've mentioned that outsourcing may become an issue for NASDAQ:NVDA and so I believe that ARM may be able to fill that vacuum should a semiconductor crisis ever occur. A catalyst like this would definitely have the potential for propelling the stock to new highs. Risk Management If picking a good company out of a lineup wasn't enough, now the potential gains to losses needs to be considered. For every dollar risked, I believe at least three dollars should be the reward. With ARM I believe those types of gains are possible however this is the one of those exceptions where I would consider holding shares instead of trading derivatives. I picked through several option contracts, specifically Calls, and noticed that Open Interest was severely lacking on most contracts except for a few expiring within 90 days. Typically 90 days would suffice however with the lack of trading patterns -- and a sense of direction -- I believe this makes derivative trading too risky for ARM. To top matters off, the contracts with high open interest (>1000) would potentially only deliver 1:1 at best case scenario. All that said, the lack of direction and amount of share value that would have to be gained within a short period of time leads me to believe that investing in ARM Calls would be reckless. The Calls worth owning and that have an expiration greater than 6 months out have a near non-existent Open Interest. While that could always change if ARM starts getting some attention from the market, this may lead to illiquidity and an inability to unload the contract. Fundamental Analysis Current ratio (current assets / current liabilities) = 4.33 * Any ratios under 1.00 are considered a financial risk. Retained earnings = $2.440B which was a slight decrease from $2.457B in March 2023. * Allows the company to invest in itself (repurchase shares, expand, etc) Net income 6 Months Ended September 30 = ($5M) loss * The majority of the loss appears to have come from escalated operating expenses within the second quarter. This is a drastic 101.5% decrease from September 30, 2022 which had a net income of $339M. I'm experiencing some difficulty interpreting the Q2 Earnings Call. I am a self-taught analyst and learn on-the-go so I will need to process this information more before coming to a confident conclusion on the fundamental analysis. However, it does seem that operating expenses increased significantly (approximately by 171.8%) in the second quarter alone. I will make sure to provide any updates to my findings as a comment on this idea.
NASDAQ:ARM
by Shepherd_Investor
3
Navigating the Perils of AI-Driven Trading: A Cautionary TaleIn the dynamic landscape of stock trading, the allure of artificial intelligence (AI) as a shortcut to financial success captivates many new traders. However, this journey is riddled with pitfalls, as the pursuit of a magic formula can lead to dark and dangerous territories within the market, ensnaring unsuspecting traders in a web of financial peril. "The path to profitable trading is not found in shortcuts but in the diligent pursuit of knowledge and experience." ~ by @CoffeeShopCrypto Stage 1: Hopes and Dreams - The Gambler's Mindset As traders embark on their quest for the elusive magic formula, the initial excitement can morph into a dangerous gambler's mindset. The allure of quick riches blinds them to the risks, and without a solid understanding of the market, they unwittingly navigate treacherous waters. The market, akin to a skilled gambler, will slowly drain their funds, leaving them disillusioned and trapped. Stage 2: What You Don't Know Can Hurt You - The School of Hard Knocks Reflecting on their academic experiences, traders must recognize that success in the market is not instantaneous. Just as final tests come after months of learning, mastering the intricacies of trading requires time and effort. Understanding market movements, the underlying mathematics, and recognizing unfavorable trends are skills that can only be honed through diligent study and real-world experience. Stage 3: Selfish Views - The Ego's Bias The selfish view that traders adopt, driven by ego, creates a biased perspective that hinders objective analysis. In the pursuit of AI-generated results, traders often fail to recognize the importance of asking market-specific questions. The ego, like a fog, obscures the reality of their limited knowledge and hampers their ability to constructively engage with the market. Stage 4: Lazy is Easy and Anything Easy is Not Worth It - The Island of Ignorance Imagine being stranded on an island in the middle of the vast ocean, representing the ever-changing market. Without a solid understanding of market dynamics, traders can aimlessly wander, repeatedly circling the same terrain without realizing it. The illusion of ease becomes a mirage, leading them towards financial ruin. To survive, traders must either expand their knowledge island or chart a course away from ignorance to ensure they can "think or swim" in the market. Stage 5: How Do You Know It's Wrong When You Don't Know What Wrong Looks Like? - Recognizing the Loaded Weapon Traders, devoid of experience, may struggle to discern poor-quality AI-generated code. Like holding a loaded weapon without knowing how to use it, the lack of expertise leaves them vulnerable to financial catastrophe. Emphasizing the importance of gaining experience, traders must realize that their inability to identify flaws in algorithms is a ticking time bomb for their trading accounts. Stage 6: They Always Look for Someone Who Knows - Seeking Validation Desperation sets in as traders seek help online for code they didn't write, perpetuating a cycle of external validation. It's crucial to recognize that relying on others to fix code generated by AI is a misguided endeavor. The journey towards trading success requires personal understanding, not borrowed solutions. In the face of these challenges, the truth about AI language models emerges - they are not a panacea for trading success. New traders must abandon the notion of quick fixes, acknowledging that success in the market demands a genuine commitment to learning and understanding its complexities.
by CoffeeshopCrypto
2
0x0: A Golden Opportunity?Hi Everyone, As we know, the next Bullrun is near and we are excited to find some great nuggets! I focused on 0x0 AI SMART CONTRACT AUDITOR and it seems this is a direct competitor of Tornado Cash and Uniswap... It means privacy and security protocols with an another feature... AI technology (probably the next trend for the next bullrun). Actually, never mind about fundamental! I'm just a technical analysis and what I noticed on this chart, it's a large accumulation zone with a huge potential. Today we trade this asset around 0.15$. 1st target : 7.50$. 2nd target : 37.50$. It appears completely crazy but these are potential targets. Let's see in the futur! Stay safe! PS: it's not a Financial Advice. Only my plan. Just my point of view.
Long
by Horus83
AI Alchemy, The Future of InvestmentsArtificial Intelligence (AI) is no longer just a futuristic concept or a element of science fiction. A revolutionary transformation in technology has propelled AI into a leading force across various sectors of human life. In this context, looking ahead is not just a trend but a necessity. From healthcare to industrial automation, AI is becoming a key element in enhancing our quality of life and providing solutions to complex problems. For example, in healthcare, AI can speed up diagnostic processes, assist in drug research, and improve the efficiency of medical care. In the industrial sector, AI automation can boost productivity, optimize supply chains, and reduce production costs. It's no wonder that AI companies are attracting investors looking to be part of this significant change. Investing in AI Companies as the Top Choice Incredible Growth Potential: AI companies offer incredible growth opportunities. With the increasing adoption of AI technology across various industries, these companies can experience significant long-term value appreciation. Inevitable Innovation: Innovation is the key to success in this digital era, and AI companies hold the most strategic position in creating revolutionary technology. By focusing on developing smart algorithms, these companies can lead in creating new solutions and enhancing competitiveness in the market. Social and Economic Impact: AI is not just about business and financial gains. The changes brought about by AI have the potential to create significant social and economic impacts. Investing in AI companies supports a vision of creating a more efficient, sustainable, and adaptive society. Looking Ahead: How AI Shapes the Future Smart City Development: AI will play a central role in developing smart cities. With systems that can monitor and manage traffic, energy, and public services, smart cities will become the norm in the future. Enhanced Education Quality: AI can be integrated into educational systems to provide personalized learning experiences, assist in evaluating student progress, and create responsive curricula. Energy and Environmental Revolution: AI solutions can be utilized to optimize energy usage, manage waste, and develop green technologies to address climate change. Healthcare Technology Advancements: With AI, the healthcare sector will undergo a revolution with early diagnosis, personalized treatments, and more effective drug development. Conclusion: Looking to the future is not just about predicting trends but understanding how technology will shape our lives. Investing in AI companies is a smart move because it not only yields financial benefits but also supports positive changes in society and the environment. By researching and understanding the impact of AI across various life sectors, investors can make informed decisions and build resilient portfolios for this future full of potential.
NASDAQ:NVDALong
by fardycurry
UiPath Stock Spikes More Than 20% After Earnings BeatKey Takeaway 1. UiPath’s stock surged more than 20% after the market opened Friday. 2. The company posted quarterly earnings Thursday that beat revenue and adjusted earnings per share expectations. UiPath stock popped more than 20% on Friday, one day after the company released quarterly earnings that beat Wall Street’s top- and bottom-line expectations. The enterprise automation software company posted $325.9 million in revenue for the quarter ending Oct. 31, in contrast to the LSEG, formerly Refinitiv, estimate of $315.6 million. Adjusted earnings per share came in at $0.12, more than the $0.07 analyst projection. UiPath also raised its fourth-quarter and full-year fiscal 2024 outlook for annual recurring revenue. Its ARR was up 24% year over year to $1.38 billion. For companies like UiPath that are reliant on subscriptions, annual recurring revenue is an important metric that reveals how much money a company receives on a recurring basis. Analysts across the board were pleased with the ARR raise and the company’s strategy to target new businesses. “Its strategic bet, almost a year old, on driving value for big clients with the longest/broadest automation journeys is paying off; these customers are driving the lion’s share of growth,” analysts from Davidson wrote in a note to investors. Bank of America analysts highlighted UiPath’s expansion into new verticals, such as retail, IT and manufacturing, as part of their optimistic expectations for the company’s growth. “We expect to see a healthy reacceleration in key growth metrics such as ARR and NRR (net revenue retention), in Q1 when we reach easier comparisons in the small business segment,” Bank of America analysts wrote in a note to investors. Davidson analysts believe that more widespread adoption can be attributed, at least in part, to UiPath’s integration of generative artificial intelligence. The weaving of Generative AI into its broadened automation platform, is driving strong adoption amongst enterprises. Technical Analysist PATH is trading near the top of its 52-week range and above its 200-day simple moving average. Investors have been pushing the share price higher, and the stock still appears to have upward momentum. This is a positive sign for the stock's future value.
NYSE:PATHLong
by DEXWireNews
Long NMR/USDT (Binance/KuCoin/OKX) SWING/HODLLong NMR/USDT (Binance/KuCoin/OKX) SWING/HODL We discussed Numeraire fundamentally a few times on the live-stream and it is also included in our fundamental HODL portfolio. It is a very attractive and serious project, the token of which has not shown anything properly for a long time (even if it can shoot well from history). His industry is part of Big Data, TradFi and also AI, that is, a very strong combination for the year 2024. This is a long trade and I personally take it to HODL without SL with a standard HODL position. Market entry: $16.25 Re-Buy: $12.8 Duration: 3-6 months Take profits: TARGET 1 - $29.2 TARGET 2 - $39.49 TARGET 3 - $50.31 TARGET 4 - $61.68 Follow the specified Money & Risk management, or standard position on HODL. 1W chart:
Long
by Tradify_Seb
Gold's Resistance: Parallel Channel & A-assisted Zones, VectorsWelcome Esteemed Investors, I n the ever-evolving landscape of the financial markets, understanding the dynamics of precious metals like Gold (XAU) is crucial for informed decision-making. Today, I bring you insights into the XAUUSD market, aiming to contribute to your comprehensive research endeavors. T he recent movements in the Gold market have been intriguing, and a closer look reveals compelling signals for investors. After a decisive bounce from the support zone, hovering around $1820, Gold (XAU) has demonstrated bullish indications. Notably, a confirmed breakout from the falling channel, depicted by the blue parallel channel in the chart, stands out as a significant development. F alling channels are "widely" recognized as bullish chart patterns. They have a tendency to break upwards. What makes this insight even more compelling is the application of cutting-edge technology in detecting potential support zones. Leveraging a Support Vector Machine (SVM) algorithm integrated into a deep neural networking AI, the support zone was identified well in advance, dating back to 09 March. For human observers, this translates into a visually apparent double bottom pattern on the chart. P ost-bounce from the predicted support zone and a classic breakout from the falling channel, Gold swiftly ascended to the resistance zone around $1980. However, historical selling pressure from supply, marked by the purple zone on the chart, has posed a formidable challenge. Since 04 May, XAU has been trading below this zone, reminiscent of the period from 04 May to 04 October. Y et, the potential for a bullish scenario persists. A strong demand wave could propel Gold to break out from the current supply zone after a modest pullback within the projected purple area. It's essential to acknowledge the historical ebb and flow of demand and supply in this market; a failure to breach the resistance zone might lead Gold back to the blue support zone. A nticipating market dynamics, it is crucial to consider external factors. Market news, with its inherent capacity to influence asset prices, might act as a catalyst for a reversal from the support zone. In the event of a downturn triggered by bearish news, the subsequent support zone is estimated to be around $1625. I n summary, the prevailing signals for Gold appear bullish, suggesting a potential breakthrough of the resistance zone. However, the ever-present influence of market news introduces an element of uncertainty. Should bearish news materialize in the coming weeks, the $1820 support zone could offer another opportunity for bullish positions. It is imperative to note that the insights shared here do not constitute financial advice. I am not an investment advisor. The decision to engage in financial markets should be made with careful consideration of individual risk tolerance and thorough research. While the probabilities favor long positions at present, it is essential to remain vigilant and adaptable in response to changing market conditions. Wishing you success and prosperity in your investment journey. Warm regards, Ely
FOREXCOM:XAUUSDLong
by Elysian_Mind
4
Altman + Microsoft: Will AI Wizardry Catapult Stocks ?Microsoft's trajectory into the future takes a compelling turn with the addition of Sam Altman, an AI luminary, to its internal team. This analysis explores the fusion of technology and finance, specifically delving into Altman's impact on AI development within Microsoft. We examine the integration of advanced AI features into Microsoft 365 and assess Microsoft's competitive position in the dynamic AI market. On the financial front, Microsoft's robust fundamental rating sets the stage for closer scrutiny, emphasizing its stability and profitability. Altman's potential influence on Microsoft's stock value, given his renowned AI contributions, is a key focus, highlighting the pivotal role of innovation in sustaining and enhancing stock performance. This concise analysis aims to unravel the symbiotic relationship between technological prowess and financial resilience, providing insights into Microsoft's post-Altman journey. As we navigate challenges and opportunities, the conclusion offers a holistic perspective on Microsoft's potential to lead in AI technology and maintain a competitive edge globally. Technology Analysis: Impact of Sam Altman Joining the Microsoft AI Team: With Sam Altman's experience in AI development through OpenAI, his presence in Microsoft's internal team can positively influence the advancement of more sophisticated AI technology. The potential integration of Altman's ideas and strategies can strengthen innovation within Microsoft applications. AI Technology in Microsoft 365 Applications: Recent changes in Microsoft 365, such as the addition of Copilot features, demonstrate Microsoft's commitment to integrating artificial intelligence into its products. This can enhance user appeal and expand the user base of Microsoft applications. Competitors and Position in the AI Market: In the intense competition in the artificial intelligence sector with companies like Amazon, Google, and Facebook, Microsoft's strategic move with Sam Altman joining can help maintain and enhance its position in the AI market. Financial Analysis: Fundamental Rating of MSFT: With a fundamental rating of 7 out of 10, Microsoft is considered highly profitable with no liquidity or solvency issues. A good dividend rating and consistent profits over the last 5 years indicate financial stability. Impact of Sam Altman's Presence on MSFT Stock: In addition to his contributions to technology development, Sam Altman's presence can also act as a positive catalyst for Microsoft's stock. Altman's reputation in the AI field and his connection with Microsoft can build investor confidence. Innovation as the Key to Stock Value Increase: In the face of tough competition, continuous innovation in AI technology is crucial to maintaining and increasing stock value. Altman's joining provides an additional potential for innovation that can influence the performance of MSFT stock. Combined Analysis: Synergy of Technology and Finance: The combination of superior technology and stable financial conditions strengthens Microsoft's position in facing the future. Technological innovation is key to reinforcing the company's value, and, therefore, the potential for stock increase. Challenges and Opportunities: Despite Microsoft's solid fundamentals, challenges in AI competition persist. Hence, the company needs to stay focused on innovation and adapt to market developments. With Sam Altman's support, Microsoft has the opportunity to continue leading in AI technology development. This enhancement can play a crucial role in the growth of MSFT stock value; however, long-term success also depends on the company's ability to stay competitive in the dynamic and competitive market.
NASDAQ:MSFT
by fardycurry
Be Cautious On Palantir🫨Hello Traders, My name is Philip and I am just an average stock and indices trader with over 4 years of trading experience💻 ------------------------------------------------------------------- ➡️In today's video, I will analyse Palantir for you🫡 ------------------------------------------------------------------- ➡️Let me know your opinion about today's analysis in the comments below👇 ➡️I will only enter a trading position if ALL of my trading criterias are met! Keep your long term vision! P.S. Trading is risky and most beginner traders lose money!
PShort
by SwingTraderPhil
8
INFA (Long) - AI play with a robust baseFundamentals The market right now is full of companies acting like prime AI bets . From what I can tell, NYSE:INFA is one of the more legit ones, building an AI-powered platform for multi-cloud system The valuation is slightly stretched but that is to be expected in a hot sub-sector. Hence, we need to gauge it against the industry, where INFA is exactly at the average Sales growth has been reliable and strong over the past decade, and the firm is nearing profitability Debt is stable at 1:1 ratio with equity. One fun fact is that CEO's compensation is $32m a year; the average in the industry is $8m, That's a major red flag, but we do not really care in a 6-month window; just something to be aware of On this one though, we are here for the technicals Technicals The technicals on this chart are gold Starting, as always, with a robust base which has accumulated over a longer time period The break out of the base came on news of blockbuster earnings , which is the kind of support a name like this needs Because of the positive news, the move was accompanied by higher-than-average volume as depicted on the graph Indicators also further support the break : (i) volume, represented by Chaikin Money Flow, has been showing divergences long before the move actually happened (orange circles) and (ii) a factor I consider crucial, a high relative strength against the market; the indicator is clearly breaking out and pointing higher Momentum is strong (stochastics) and supported by the rally in the broader indexes The stock clearly broke through all the moving averages ; another important factor when looking for an uptrend with legs Trade On the daily, the trade is slightly stretched. However, it still provides a good entry considering the proximity to the breakout line Ideally, the stock would oscillate around this line for a couple of days and let the moving averages catch up with the price It is up to you whether you wait or enter here. I choose to wait just because I feel the price action in the whole market needs to consolidate for a few days Caveat? The stock does not hold the line and breaks lower. However, considering the magnitude of the move, it is not unrealistic that this happens. In that case, I would wait for the price to break again and re-enter Follow me for more analysis & Feel free to ask any questions you have, I am happy to help If you like my content, Please leave a like, comment or a donation , it motivates me to keep producing ideas, thank you :)
ILong
by jurajholik
How AI will revolutionise the trading world – 14 WaysThe era of AI has unleashed in almost every aspect of our lives. And I believe that there will soon be a seismic shift in financial trading with AI. I feel it’s my duty to share some of the ways, we will incorporate, adapt and integrate AI into trading. To explain in simple terms… AI is a concept to teach machines, robots and computers how to perform human actions. And trading is just another element that AI will apply to. Let’s start… #1: AI Trading Bots We’ve had EA (Expert Advisors), chat bots and machine learning when it comes to trading. As AI adapts more into the financial world, they will be able to signal, alert and even optimise our trading strategies, risk management and financial profile. #2: AI will alert more markets into our watch lists Not all markets work with our trading strategies. Right now we have to manually search for different markets to back, forward and real test. Once AI adapts to our trading strategy, it will be able to pinpoint the most efficient and effective markets to include into our trading arsenal. #3: Real-time risk management AI’s rapid data processing will be able to identify our risk profile. In the near future, it will be able to identify not only trading setups, but also the volume we’ll need to buy or sell to enter or exit a trade. It will alert us when trades are ready to go and will ask us whether we want to go ahead and action the high probability trades (according to our risk management. #4: Algorithmic automatic trading Once we lay out the parameters of what we want our AI trading bots to do, they will be your employee. They’ll be able to take action while you’re away such as: Layout the chart setups Plug in the trading levels (entry, stop loss and take profits) Execute trades on our behalf They will work for us, which will limit our time staring at screens. #5: Sentiment Analysis: Read the market’s mood This tool will help us identify who’s dominant in the markets. Are the bulls or bears stronger. It will then give us a gauge meter to tell us whether demand or supply is higher. And this will help us make calculated decisions, based on our own trading analyses. #6. Freeing humans from the grind When AI takes over our trading, it will do all of the mundane tasks for us. It’ll focus on: What markets work best with the system Which markets to remove from the watch list and whether we are in favourable or unfavourable terrorist according to our system This will free traders from spending hours behind a screen on the daily. #7: Automation: Back and forward testing When AI learns a system with the right parameters and criteria, it will be able to backtest for us. It’ll be able to go through hundreds of trades in the past and will provide a full review of the stats and measures. It’ll tell us the: trades of winners and losers Win and loss rate Average winner and loser per trades Costs, risks and losses Accumulation of profit and losses and more… #8. Pre-emptive fraud detectors AI doesn’t just detect fraud—it sniffs out all the unregulated and fraudulent type companies, brokers, market makers. It also analyses the markets micro and macro analyses to see which companies are doing well, cooking the books and / or are red flags to buy or sell. Its predictive capabilities will be able to save millions of traders from falling into financial trading traps and scams. #9: Customizable AI trading assistants Also, I bet we will see companies create their own trading assistants. Similar to Siri, Alexa and Google. You will have your own finance-savvy cousin ready to act on your trading needs. Whether you want to trade, find setups, talk about tested systems, create new strategies, learn real time info about markets and instruments. You’ll have your own AI trading assistant just call away. #10: The rise of quantitative trading Quant trading will soar to new heights. AI will be able to crunch numbers and optimise strategies with high speed and precision. This will make sense of complex financial models at lightning speed. #11: Real-Time chart pattern identification Eventually, AI will adapt machine and deep learning into charts. We will finally see the day where market patterns, trends are identified on any time frame. As they learn the bends, turns, vectors and consistency with the charts through predictive analysis from historical market data… AI will adapt and learn to plot more accurate, recurring chart patterns and use them to predict future price movements on any market. And AI will be able to scan hundreds of charts simultaneously and highlight significant patterns as they emerge. This will present high, medium and low probability setups for our trading. #12: Past chart patterns predictive analyses Not only will it identify real-time chart patterns. It will also spot historical price patterns and insights that took place in the past. This will help us to back test the systems and how they worked on particular markets. AI will be able to identify the chart patterns that have proven to be most successful for that particular trader. #13: Personalized and customised trading strategies What if you have a new chart pattern you’d like to adapt into your analysis? Well I’m sure AI will have the ability to learn, recognise and incorporate your chart patterns into the system. This way you can personalise what chart patterns, candlestick patterns or strategies you would like customised to your style. This means that each trader can have a unique set of chart patterns to look for, tailored to their trading style and risk tolerance. This personalized approach can potentially enhance your trading performance and your profitability. #14: Integration with other data sources This will most likely be open-ended. It’ll work via the network where AI will improve chart pattern recognition in financial trading by integrating with other data sources. Imagine AI learns from millions of traders, millions of strategies, systems and new inputs. I can only imagine that traditional manual chart pattern systems will be a thing of the past. With the new set of systems, formation, price and volume data – we will see integration of brand new forms of analyses and strategies. And this will bring a new era of financial trading. Final Words and summary! It’s all exciting and frightening at the same time. Because with AI integration, we will see yet another shift in the algorithms and it’ll bring a new future for trading. Only those who learn to adapt and evolve – will make it… Let’s sum up all the AI elements that will we mentioned here. #1: AI Trading Bots #2: AI will alert more markets into our watch lists #3: Real-time risk management #4: Algorithmic automatic trading #5: Sentiment Analysis: Read the market’s mood #6. Freeing humans from the grind #7: Automation: Back and forward testing #8. Pre-emptive fraud detectors #9: Customizable AI trading assistants #10: The rise of quantitative trading #11: Real-Time chart pattern identification #12: Past chart patterns predictive analyses #13: Personalized and customised trading strategies #14: Integration with other data sources
TVC:SA40Education
by Timonrosso
GRT (The Graph)----->Long (30X)Hello to all crypto players If you like to risk a small part of your portfolio, but you are not interested in meme coins, then pay attention to this BINANCE:GRTUSDT ! The Graph is an indexing protocol for querying data for networks like Ethereum and IPFS, powering many applications in both DeFi and the broader Web3 ecosystem. Anyone can build and publish open APIs, called subgraphs, that applications can query using GraphQL to retrieve blockchain data. There is a hosted service in production that makes it easy for developers to get started building on The Graph and the decentralized network will be launching later this year. The Graph currently supports indexing data from Ethereum, IPFS and POA, with more networks coming soon. Market cap 9.04% $1,187,268,975 #46 Volume (24h) 31.61% $127,555,041 #44 Volume/Market cap (24h) 10.74% Circulating supply 9,281,136,914 GRT Total supply 10,777,673,677 GRT Max. supply ∞ Fully diluted market cap $1,378,602,800 My view: A token from the artificial intelligence category with excellent fundamentals and technicals and almost Circulating supply 100% and a drop of 95% from the ATH. But don't rush to enter because to confirm the start of the main bullish rally: We need to break the yellow line with strength and momentum and stabilize the price above that area. My setup: Entry after yellow line breakout (0.17$) TP In order of time frame and probability 0.72$ 1.13$ 1.7$ 2.8$ . . . 4.7$ very imaginative goal 7.4$ very imaginative goal
Long
by OdinSights
5