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Solana (SOL) is a popular smart contracts token among retail and institutional investors. The token has a history of major price movements backed by key developments in the ecosystem. Solana price frequently experiences major breakouts but also falls victim to high volatility.
This article will delve into the technical outlook of Solana in the second quarter of 2024—micro and macro factors that are likely to trigger a major bull run to $250 and beyond.
Meanwhile, Solana price dodders at $148 after growing 5% on the day on top of a 15% increase in seven days. SOL ranks #5 among other cryptocurrencies backed by a $68 million market cap. In the last 24 hours, this very competitive smart contract token commanded over $2 billion in trading volume.
Solana is top among major altcoins with the spot ETF in sight. This extremely bullish outlook emerged last week after investment firm VanEck applied for a license to operate a Solana spot exchange-traded fund.
VanEck reckoned in the accompanying statement that it believes Solana is a commodity just like Bitcoin and Ethereum. The protocol is known to host decentralized applications, supporting the web3 sector.
Solana’s blockchain stands out for secure high transaction throughput, low fees, scalability, and adaptability. Although very similar to Ethereum , Solana boasts 50,000 transactions per second at an average of $0.00025.
If the Securities and Exchange Commission (SEC) approves Solana ETFs , the token will gain more legitimacy among investors both crypto and traditional, especially from institutions.
In the previous bull run in 2021, Solana exploded to $260—reaching a new all-time high. The run-up fuelled by the approval of Bitcoin ETFs in Q1 propelled SOL to $206. This came after a drastic and damaging fall to $8 caused by the crypto winter and the collapse of Sam Bankman-Fried’s FTX exchange.
Despite the correction in April, May, and June, Solana shows potential to recover and push above the crucial $200 mark. Subsequent movements to $250 and beyond would depend on the general sentiment, especially if the crypto market ignites a bull run later in the year.
According to the current technical picture on the daily chart, Solana holds between the 20-day Exponential Moving Average (EMA) and the 50-day EMA. The neutral Relative Strength Index (RSI) at 52 reinforced the bullish thesis such that SOL seems poised to push past the $150 resistance on Monday, July 1.
Should SOL breach this hurdle, FOMO will likely kick in as more traders back the uptrend while getting into new buy positions. Breaching the next seller congestion at $160 could push Solana above the descending triangle.
This is technically a bearish pattern but if bulls manage to overpower the sellers’ grip, Solana price prediction reveals a quick climb to $200, paving the way for the upswing to $250.
1. is solana a layer 1 blockchain, 2. how many transactions per second does the solana blockchain support, 3. does solana have an etf.
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The month of July is primarily focused on the potential launch of spot Ethereum ETFs. However, Bitcoin and a few other crucial assets have something equally huge ahead of them.
BeInCrypto has compiled what major developments you can expect in the next month that could impact the crypto market.
Bitcoin’s price, at $61,150 at the time of writing, is holding itself above the $60,000 mark. While many feared that the market’s uncertainty could have pulled it below this level, they missed the bigger picture.
BTC on the weekly chart can be seen forming a double-top pattern. This macro bearish pattern signals that the asset may be set for a downward trend. Bitcoin’s price can be seen breaking below the neckline at $61,483.
This breakdown might find some support at $58,874, but the pattern suggests a much larger decline. The target price is set 17% below the neckline at $50,982, which would result in a four-month low for BTC.
The possibility of this happening is rather strong, considering the “sell in May and go away” notion continues to impact spot BTC ETF inflows . Combining this with the volatility of the crypto market, a drawdown is very possible.
Read More: Bitcoin Halving History: Everything You Need To Know
However, Bitcoin’s price could also bounce back from $60,000 or $58,847 to invalidate the bearish thesis. This would be confirmed once $62,000 is reclaimed as support.
Arbitrum’s price decline is expected, but the threat of a new all-time low is alarming . ARB, the second-largest Layer-2 token behind Polygon ( MATIC ), has seen its demand dwindle significantly in recent weeks, leading to a massive price drop. Since early March, it has fallen by over 60% to $0.799, forming a head and shoulders pattern.
A head-and-shoulders pattern is a bearish reversal chart pattern with three peaks — a higher middle peak (the head) flanked by two lower peaks (the shoulders). Once the neckline is broken, it indicates a potential trend reversal from bullish to bearish.
Based on this pattern, Arbitrum’s target price is projected at $0. However, this is absurd because ARB is a fundamentally strong asset. The most likely outcome is a new all-time low for ARB, as it is currently sits above the current minimum of $0.739.
Shifting market sentiment could accelerate this decline, and before the end of July, ARB could see a new ATL.
Read More: Arbitrum (ARB) Price Prediction 2024/2025/2035
On the other hand, if Arbitrum’s price manages to bounce back from $0.739, it could take a shot at breaching $0.929. A succesful attempt could send ARB above $1.00, invalidating the bearish thesis.
Non-fungible tokens ( NFTs ) gained prominence in 2022, but their performance since then has been disappointing. Some resurgence in activity and demand occurred in Q1 this year.
However, this revival appears short-lived. Over the past three months, overall trading volume has plummeted from $38.8 million to $7.9 million, marking an 81% decline.
Read More: 7 Best NFT Marketplaces You Should Know in 2024
The cause behind this drop is twofold. First, the lack of innovation offered in this space has left its demand minimal. Second, there has been a rise in alternative investment options and assets such as real-world assets (RWA).
The rise in Artificial Intelligence (AI) tokens has also drawn investors’ attention. Given AI’s potential for growth, crypto investors are leaning more toward choosing them.
As a result, the NFT trading volume could decline further as bearish market conditions and the aforementioned factors gain strength.
ozgurdonmaz
Nike ( NYSE: NKE ) is a sports and leisurewear company that will be immediately familiar to readers, due to the ubiquity of its products across the globe. Today, I will argue, the stock is currently offering investors a once in a multiyear entry point. The stock has struggled over the last number of years as a weakening macroeconomic backdrop, particularly in China, has left investors wondering what the future growth prospects are for the firm. In addition, the firm has misfired on its product innovation roadmap, which has allowed competitors to pick up market share in areas such as running.
In its fiscal Q4 earnings released last week, the firm highlighted continued challenges for its business, which are now expected to continue its fiscal 2025. The market reaction to the news was nothing short of spectacular, sending shares down by just under 20% on the day. I believe the sell-off provides investors with an incredibly attractive entry point into the leading global sports brand. I recommend a buy given the combination of attractive medium term growth forecast, cheap valuation and by far the most recognized and valuable global sports brand.
Nike released its fiscal Q4 earnings after the bell on Thursday. Q4 revenue was flat year-on-year on a constant currency basis. Looking under the hood, the firm saw some signs of improvement in China where revenue grew by 8%, albeit from a lowered base. However, revenue in both North America and EMEA were very weak. On the back of these results management decided to lower their guidance for fiscal 2025, they are now expecting a high single digit decline in revenue having previously guided for low single digit declines.
CEO John Donahoe acknowledged that a lack of product innovation had hurt the company and allowed some competitors to steal some market share in categories like running shoes. While this admission may have struck some investors as stark, I respect management's honesty as I think it shows their willingness to have open discourse with investors. Nike is now taking action to address the innovation shortcomings, with a goal to double the innovation pipeline by the end of 2025. Given the history, scale and financial resources of the firm, I think investors can be confident management will right the ship.
" And as we kicked off our multi-year innovation cycle, one of our key priorities has been increasing our speed to the consumer. We believe accelerating the pace and consistency of our innovation will allow us to deliver impact at scale, season after season". (CEO John Donahoe)
More positively, management raised the full year dividend by 8% and on a per-share basis dividends were closer to +10%. Per-share numbers continue to be lifted by a share buyback program, with $4.3B spent on buybacks in fiscal 2024. EPS for fiscal 2024 was higher by 15%, which highlights the firm's ability to manage costs in a challenged revenue environment.
In addition, the firm retains a clean balance sheet with a trivial net debt of just $370m. Balance sheet flexibility provides management with scope to pursue tactical M&A should they see fit.
Following a sharp sell-off during Friday's market session, I think Nike is now trading at a very attractive entry point from a valuation perspective. The stock now trades a full standard deviation below its ten-year mean P/E. This fall in valuation is important for our expected future return, as studies have confirmed that a lower starting point of valuation tends to be equated with higher forward ten-year total returns. The logic is of course simple, valuation over time tends to exhibit a mean reverting property . As a result, a low starting valuation gives us upside room for the valuation to mean revert upwards and lift the stock value along with it.
A part of valuation that is less cut and dry, is attributing intangible value to a firm's brand. It is impossible to accurately attribute a dollar value but estimates can be made. According to Interbrand , Nike has the ninth most valuable brand in the world with an attributed brand value of close to $54B. Nike's brand value far exceeds that of its nearest sportswear peer adidas ( OTCQX:ADDYY ), which is ranked as the 42 nd largest brand for a value of $16.5B. Hence, Nike has a brand value more than 3x that of its nearest peer.
The strength of Nike's brand is a core part of my thesis, that when the macrocycle recovers, Nike will be well-placed to continue to grow with its global leading sports franchise. I believe the market is currently gifting us an unusually good entry point into a top ten global brand.
British investor Terry Smith has a useful rule of thumb for valuation and forecasting long-term returns of a stock. His simple formula is to take the FCF yield and add it to the medium term expected EPS growth. This figure will likely be close to the return of the stock in the long run. Looking at Nike, we see a current FCF yield of 4.4% and a medium term EPS forecast of 8.5%. I believe the combination of a leading brand, attractive valuation and robust expected growth make Nike a stock to buy at this moment.
The obvious risk to my Nike thesis is a significantly longer recovery time for the global macrocycle. Forecasting macroeconomics is inherently difficult but we do know the economy is cyclical and it will fluctuate through time. I believe that a weak point in the cycle like the present can present compelling opportunities for the long-term investor in businesses, as short-term pessimism creates mispricing in high quality securities.
Additionally, the firm faces the risk of mis-execution in rebuilding its innovation pipeline. If the firm fails to get the product roadmap back into a healthy condition, then it is likely that competitors will continue to gain market share. Indeed, the firm has faced multiple downgrades by Wall Street analysts following Q4 earnings. My thesis is Nike grew to be the world's leading brand for a reason. The firm has a long history of developing great products, I see the current product mishaps as a bump in the road rather than a fundamental change.
I believe the recent sell-off in Nike's stock has been an extreme reaction to near-term weakness in the macrocycle. The sell-off has presented us as investors with an unusually attractive entry point into a global leading brand. With the expectation of an improving macrocycle in time, it is reasonable to expect valuations to rebound from the current depressed levels. In addition, the firm boasts an attractive FCF yield and medium term EPS growth forecast, which supports an expectation of solid long-term growth for the stock from here.
I think peak pessimism has arrived for the stock and I recommend investors to buy the stock as it trades at a significant discount to its historical average. The stock is offering us a rare opportunity to buy a global leading brand at a steep discount to its normal valuation. The stock may continue to face challenges in the near term given sentiment remains extremely low, but I believe the long-term investor will be rewarded by purchasing at an attractive valuation and being patient.
As Ben Graham famously said, the market is a voting machine in the short term but a weighing machine in the long term. Nike is a tremendous brand with global reach and I expect that to be reflected in the long term.
This article was written by
Analyst’s Disclosure: I/we have no stock, option or similar derivative position in any of the companies mentioned, and no plans to initiate any such positions within the next 72 hours. I wrote this article myself, and it expresses my own opinions. I am not receiving compensation for it (other than from Seeking Alpha). I have no business relationship with any company whose stock is mentioned in this article.
Seeking Alpha's Disclosure: Past performance is no guarantee of future results. No recommendation or advice is being given as to whether any investment is suitable for a particular investor. Any views or opinions expressed above may not reflect those of Seeking Alpha as a whole. Seeking Alpha is not a licensed securities dealer, broker or US investment adviser or investment bank. Our analysts are third party authors that include both professional investors and individual investors who may not be licensed or certified by any institute or regulatory body.
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Sentiment Analysis and Opinion Mining has become a research hot-spot with the rapid development of social network websites.Twitter is a typical social network ap- ... remainder of this thesis is structured as follows. Chapter 2 surveys the eld of study on de nition, sub-tasks and methodologies. Chapter 3 illustrates our proposed
An illustrative example is the publication by Ravi and Ravi Ravi & Ravi (2015), who conducted a study summarizing over one hundred papers published between 2002 and 2015, focusing on the applications of sentiment analysis, the different approaches and open issues in the field.In 2016, Balazs and Velazquez Balaz & Velazquez (2016) highlighted the relevant value of the opinion mining and the ...
Sentiment analysis is usually applied to reviews and social media. It calculates the aggregate sentiment polarity and classi es the sentiment as positive, neutral, or negative [43] In sentiment ...
Sentiment analysis follows the certain steps to collect, process, transform and convert raw data to. simple corpus for sentiment classification. These steps are essential in achieving the best results in. sentiment analysis. STEP 1: A data set of Amazon product reviews within a specific period will be collected. Once.
3.1 Datasets for sentiment analysis and emotion detection. Table 2 lists numerous sentiment and emotion analysis datasets that researchers have used to assess the effectiveness of their models. The most common datasets are SemEval, Stanford sentiment treebank (SST), international survey of emotional antecedents and reactions (ISEAR) in the field of sentiment and emotion analysis.
Figure 6: Sentiment Analysis using machine learning. The sentiment labeled data with the total positive and total negative score for the words in. the tweet has been computed and the training data set is prepared to perform sentiment. earning algorithms like Naïv. Bayes, SVM (Support VectorMachine) and Maximum E.
Sentiment Analysis. 1328 papers with code • 39 benchmarks • 93 datasets. Sentiment Analysis is the task of classifying the polarity of a given text. For instance, a text-based tweet can be categorized into either "positive", "negative", or "neutral". Given the text and accompanying labels, a model can be trained to predict the correct ...
1. Introduction. Sentiment Analysis is a task of Natural Language Processing (NLP) that aims to extract sentiments and opinions from texts [1], [2].Besides, new sentiment analysis techniques start to incorporate the information from text and other modalities such as visual data [3], [4].This research topic is conjoined under the field of Affective Computing research alongside emotion ...
This thesis contributes to the field of sentiment analysis, which aims to extract emotions and opinions from text. A basic goal is to classify text as expressing either positive or negative emotion. Sentiment classifiers have been built for social media text such as product reviews, blog posts, and even Twitter messages.
This thesis mainly covers three major research areas: (1) Web Scraping methods to collect ... Natural Language Processing to clean and prepare the dataset for analysis; (3) Sentiment Analysis to acquire the polarity in leader's statements and (4) Emotion Analysis to extend towards predicting the true intentions of leaders by knowing the ...
Summary. Sentiment analysis, also called opinion mining, is the field of study that analyzes people's opinions, sentiments, appraisals, attitudes, and emotions toward entities and their attributes expressed in written text. The entities can be products, services, organizations, individuals, events, issues, or topics.
1. Introduction "The pen is mightier than the sword" proposes that free communication (particularly written language) is a more effective tool than direct violence [1].Sentiment analysis is a series of methods, techniques, and tools about detecting and extracting subjective information, such as opinion and attitudes, from language [2]. ...
Sentiment Analysis in the Era of Large Language Models: A Reality Check Wenxuan Zhang ∗1 Yue Deng 1,2 Bing Liu3 Sinno Jialin Pan2,4 Lidong Bing1 1DAMO Academy, Alibaba Group 2Nanyang Technological University, Singapore 3University of Illinois at Chicago 4The Chinese University of Hong Kong {saike.zwx, yue.deng, l.bing}@alibaba-inc.com [email protected], [email protected]
Sentiment analysis, one of the research hotspots in the natural language processing field, has attracted the attention of researchers, and research papers on the field are increasingly published. Many literature reviews on sentiment analysis involving techniques, methods, and applications have been produced using different survey methodologies and tools, but there has not been a survey ...
The rapid growth of Internet-based applications, such as social media platforms and blogs, has resulted in comments and reviews concerning day-to-day activities. Sentiment analysis is the process of gathering and analyzing people's opinions, thoughts, and impressions regarding various topics, products, subjects, and services. People's opinions can be beneficial to corporations, governments ...
A Framework and practical implementation for sentiment analysis and aspect exploration A Thesis submitted to the University of Manchester for the degree Of PhD In the Faculty of Humanities ... Figure 1.1 Structure of the thesis .....22 Figure 2.1Visual comparison of consumer opinions (Liu et al., 2005) .....35 Figure 2.2 ...
This survey focuses mainly on sentiment analysis of twitter data which is helpful to analyze the information in the tweets where opinions are highly unstructured, heterogeneous and are either positive or negative, or neutral in some cases. In this paper, we provide a survey and a comparative analyses of existing techniques for opinion mining ...
1.2.2 De nition of Sentiment Analysis In the past there has been confusion surrounding the terminology of this eld. Quite often the challenges of polarity recognition and emotion identi cation have been described using the same term, sentiment analysis. This thesis seeks to go beyond polarity-based identi cation, and focus on
Title: An effective sentiment analysis using machine learning and swarm intelligence schemes: Researcher: M, Saravanan T: Guide(s): Tamilarasi, A
Sentiment Analysis (SA) is an important topic in NLP, which investigates the opinion polarity expressed in a sentence. To achieve more fine analysis, Aspect-Based Sentiment Analysis (ABSA) is put forward. Unlike traditional SA focusing on sentence-level analysis, ABSA is aimed at the analysis of the individual aspects in the sentences.
Metadata. Sentiment analysis, which was introduced in the early 2000s, is a method used to analyze opinions and feelings. The goal of sentiment analysis is to determine whether a document contains a positive or negative emotion. Along with the spread of Covid-19 cases, news related to Covid-19 has often become a trending topic in the mass media.
Sentiment analysis (also known as opinion mining or emotion AI) is the use of natural language processing, text analysis, computational linguistics, and biometrics to systematically identify, extract, quantify, and study affective states and subjective information. Sentiment analysis is widely applied to voice of the customer materials such as reviews and survey responses, online and social ...
Subsequent movements to $250 and beyond would depend on the general sentiment, especially if the crypto market ignites a bull run later in the year. ... The neutral Relative Strength Index (RSI) at 52 reinforced the bullish thesis such that SOL seems poised to push past the $150 resistance on Monday, July 1. ... renowned for his in-depth ...
Bitcoin Price Analysis. Source: TradingView. However, Bitcoin's price could also bounce back from $60,000 or $58,847 to invalidate the bearish thesis. This would be confirmed once $62,000 is reclaimed as support. Arbitrum Could See a New All-Time Low. Arbitrum's price decline is expected, but the threat of a new all-time low is alarming.
The obvious risk to my Nike thesis is a significantly longer recovery time for the global macrocycle. Forecasting macroeconomics is inherently difficult but we do know the economy is cyclical and ...