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JD

JD.com Analysis 08.09.2021Hello Traders, welcome to this free and educational analysis. I am going to explain where I think this asset is going to go over the next days/weeks and where I would look for trading opportunities. If you have any questions or suggestions which asset I should analyse tomorrow, please leave a comment below. I would also appreciate, if you would smash that like button and help me to create more free analysis like that. Thank you for watching and I will see you tomorrow!
NASDAQ:JD
by basictradingtv
1
Time to get J.A.BJ.A.B refers to JD.com, Alibaba and Baidu , all of which I have vested interest in. You can see from the chart except for Alibaba, both JD.com and Baidu since yesterday had broke out of the bearish trend and I hope I am lucky enough to scoop more of these good companies shares. You can google more about these companies and find out more about its business, cash flows and latest news. I also think the Chinese government has more or less done with the latest regulations on the internet industry! And thus far , these tech companies are also complying with the regulations, making adjustments to their business, cut out excess fats , etc. Thus, I think this irrational price drop is a significant discount for those who believe in their growth story. Please do your own due diligence and assess these companies using your own metrics.
NYSE:BABALong
by dchua1969
2
JD vs BABA . Is BABA "Cheap" now ? Though not in any of these names , I have been watching JD and BABA lately and It seems like JD is the better buy of the two . I think that both names have good potential to produce a profit for the long trader and I have no plans to trade this as a beta hedge but I think it really shows us who is boss, as of late, in the chinese e-commerce market . Especially evident when comparing the charts of each too . BABA is in a confirmed downtrend and put in lower lows while JD formed more of a range . Also, JD is the up and coming and coming stock of the two and I see more potential for JD to be a super performer in the coming years of the two . Once again, no plans to beta hedge this but I think I will watch JD for long opportunities and I am betting that JD continues to outperform BABA. For my style I will wait for JD to break into new highs to get active but I do like the company very much at this point .
NASDAQ:JDLong
by NAK1987
A butterfly flapping its wings can cause a hurricane in China!You don't need to see an Optometrist, and you did not drink an excessive amount of alcohol, at least I did not, however, I am not sure about you..! There is nothing wrong with you if you see BABA , PDD , JD , NASDAQ:BIDU creates the exact same pattern..! This could be explained in mathematics! What is Chaos Theory? Chaos is the science of surprises, of the nonlinear and the unpredictable. It teaches us to expect the unexpected. While most traditional science deals with supposedly predictable phenomena like gravity, electricity, or chemical reactions, Chaos Theory deals with nonlinear things that are effectively impossible to predict or control, like turbulence, weather, the stock market , our brain states, and so on. These phenomena are often described by fractal mathematics, which captures the infinite complexity of nature. Many natural objects exhibit fractal properties, including landscapes, clouds, trees, organs, rivers etc, and many of the systems in which we live exhibit complex, chaotic behavior. Recognizing the chaotic, fractal nature of our world can give us new insight, power, and wisdom. For example, by understanding the complex, chaotic dynamics of the atmosphere, a balloon pilot can “steer” a balloon to a desired location. By understanding that our ecosystems, our social systems, and our economic systems are interconnected, we can hope to avoid actions which may end up being detrimental to our long-term well-being. Chaos Theory Chaos theory is concerned with unpredictable courses of events. The irregular and unpredictable time evolution of many nonlinear and complex linear systems has been named chaos. Chaos is best illustrated by Lorentz’s famous butterfly effect: the notion that a butterfly stirring the air in Hong Kong today can transform storm systems in New York next month. The definition of deterministic chaos implies that our prediction in the form of a model, for instance, is very sensitive to the initial conditions. The difference between predictions with slightly different initial conditions grows exponentially: d(t)=d(0)eat* where d(t) is the difference between the two predictions at time t and d(0) at time zero, t is the time, and a is a positive number. *at: is the power of e, I do not know how to type power in TradingView..! Chaos theory, more technically nonlinear dynamical systems (NLDS) theory, is an exciting, rapidly developing area of mathematics with increasing application in the physical, biological, and social sciences. Along with the great metaphorical appeal, nonlinear dynamical systems can also add rigor and realism to human sciences; they may help illuminate creativity, an elusive, sometimes near-magical phenomenon that has defied simple explanations. Chaotic or near-chaotic systems can demonstrate surprising flexibility and adaptability. Despite connotations of ‘chaos,’ they also demonstrate order, complexity, and self-organization. Some relatively simple, mechanistic, completely deterministic systems are capable of surprising, discontinuous, and seemingly unpredictable change. Challenged by Instability and Complexity Challenged by Instability and Complexity… Jan C. Schmidt, in Philosophy of Complex Systems, 2011 1 Introduction: the Stability Assumption Is Unstable … Nonlinear Dynamics — including Complex Systems Theory, Chaos Theory, Synergetics, Dissipative Structures, Fractal Geometry, and Catastrophe Theory — is a young and fascinating field of scientific inquiry that spans many established disciplines (cf. ). However, it poses challenging problems for both scientific methodology and the philosophy of science. Methodological prerequisites as well as metaphysical assumptions are questioned, e.g., predictability, reproducibility, testability, explainability as well as lawlikeness (determinism/causation). The common denominator of all of these challenges is instability — that is the main thesis of this paper. Since the advent of Nonlinear Dynamics and its advancement in the realm of physics in the 1960s — interlaced with methodological developments in computer technology and the computer's ability to numerically handle nonlinearity — further evidence for the existence and prevalence of unstable and complex phenomena in the physical world has emerged. Nonlinear systems, even those with just a few degrees of freedom, can exhibit static, dynamical and structural instabilities. Although instabilities call implicit metaphysical-methodological convictions and well-established underlying prerequisites of mathematical science into question, today they are not viewed in just a negative way. On the contrary, instabilities are highly valued — we find a positivization of instabilities: instabilities constitute the nomological nucleus of self-organization, pattern formation, growth processes, phase transitions and, also, the arrow of time (cf. ). Without instability, there is no complexity and no change. The phenomena generated by underlying instabilities in nature, technology and society are manifest; we can observe these phenomena with our unaided senses. In fact, instability is the root of many homely phenomena in our day-to-day experience — for example, the onset of dripping from a tap or water freezing to ice in a refrigerator. Instability has to be regarded as an empirical fact of our life-world and beyond — not just as a contingent convention. A reconsideration of the traditional methodological-metaphysical stability assumptions therefore seems to be indispensable. (a) In the past, stability was taken for granted as an implicit a priori condition to qualify a mathematical model as physically relevant or adequate. Stability seemed to be a key element underlying any kind of physical methodology: it was regarded as the sole possibility to guarantee the application of methods of approximation and, also, to deal with empirical and experimental uncertainties. (b) In addition to methodology, an underlying metaphysical conviction was pervasive throughout the history of physics, guiding the focus of interest and selecting the objects that were considered worth researching. Framing and conceptualizing nature as “nature” insofar as it is stable, time-invariant and symmetrical (metaphysics), was indeed a successful strategy to advance a specific physical knowledge (methodology). It is interesting to see that metaphysical convictions and methodological considerations are interlaced; there is no clear line between metaphysics and methodology, as will be shown in this paper. Throughout history, stability metaphysics has always played a major role in science, beginning in ancient times with Plato's stability concept of the cosmos. In modern times, stability metaphysics can be found in the works of outstanding physicists such as Newton and Einstein. For instance, in his Opticks Newton did not trust his own nonlinear equations for three- and n-body systems which can potentially exhibit unstable solutions . He required God's frequent supernatural intervention in order to stabilize the solar system. In the same vein, Einstein introduced ad hoc — without any empirical evidence or physical justification — the cosmological constant in the framework of General Relativity in order to guarantee a static and stable cosmos, “Einstein's cosmos” . Both examples, from Newton and Einstein, illustrate that metaphysical convictions — what nature is! — can be incredibly strong, even if they are in conflict with what is known about nature at the time. Today, however, ex post and thanks to the advancement of Nonlinear Dynamics, we can identify a “dogma of stability” that has determined the selection (or construction) of both the objects and the models/theories in physics. “We shall question the conventional wisdom that stability is an essential property for models of physical systems. The logic which supports the stability dogma is faulty.” : the stability assumption is itself unstable! Although the discovery history of instabilities traces back to physicists such as Newton, Laplace, Stokes, Maxwell, Poincaré and Duhem, physical objects were (and often still are) perceived and framed from the perspective of stability — even by the pioneers of instabilities. Throughout the history of exact sciences, instabilities were not acknowledged by the scientific community. This has been changing since the 1960s when physics began widening its methodological horizon — including getting rid of the restriction of methodology to stability requirements. The need to advance physical methodology emerged because instabilities have turned out to be so very fundamental in nature, technology, and even in social processes. In order to deal with instabilities, physicists have over the last 30 years successfully replaced the traditional quantitative, metrically oriented stability dogma by weaker, more qualitative topological characteristics. Many models (theories, laws) in Nonlinear Dynamics are unstable, “and we are confident that these are realistic models of corresponding physical systems” . Nonlinear Dynamics shows that instability is not an epiphenomenon of minor relevance: instabilities are broadly present in our entire world. Discovering and acknowledging instabilities impels both a reconsideration of the metaphysical views that undergird the stability dogma and a revision of the methodological presuppositions. The outline of this paper is as follows: In section 2, I characterize instabilities and distinguish between three kinds of instability. In section 3, I focus on methodological problems and challenges caused by instabilities; the limitations of classical-modern sciences will be discussed. In section 4, I show how present-day physics manages, at least to some degree, to cope with instabilities. Instabilities cannot be considered as exceptions within a stable world. Rather, it is the other way around: instabilities are the source of complexity, pattern formation and self-organization. This is why instabilities do not only appear in a negative light; a positive understanding emerges and shows challenging future prospects and perspectives for the rapidly progressing field of Nonlinear Dynamics — and beyond: for all mathematical sciences. My Soul is painted like the wings of a butterfly..! Moshkelgosha References : www.sciencedirect.com fractalfoundation.org
NYSE:BABAEducation
by Moshkelgosha
11
$JD Shop made in china online and retail try the climbMarketmiracle advisor today gave an input signal for a LONG position in the title $JD The company is basically an online and retail big store widely spread and known throughout China. Through its online store it is also trying to target abroad by providing the portal in various languages. I checked on some of my reference sites the situation and position of analysts according to which the company currently has a discounted price compared to the fair price. Considering this I wanted then deepen the graph in search of a possible confirmation for the signal realizing that the title has suffered a powerful retracement from its recent historical highs and that now, in front of excellent macro data has quickly bent towards the ascent. According to the combination of the two analyses above I expect a confirmation of the signal of Marketmiracle but you know, in the market the devil can always put his finger on it. This idea is based on the signal generated by the Marketmiracle advisor whose link you can find by scrolling at the bottom of this page.
NASDAQ:JDLong
by MarketMiracleAdvisor
1
Technical Analysis of TOP10 Mentioned Stocks!Hi, First of all, as always, I would like to thank you all for answering your favorite five stocks. Only YOU can make this series happening as good as possible, cheers! It was the first of many, wasn't so popular as the altcoins series but still, pretty interesting stocks and interesting names on the top of the list. Looks like electricity still dominates the market :) Here are the top mentioned stocks: 1) Tesla (TSLA) - is an American electric vehicle and clean energy company. 2) Nio (NIO) - is a Chinese multinational automobile manufacturer headquartered in Shanghai, specializing in designing and developing electric vehicles. 3) Apple (AAPL) - is an American multinational technology company. 4) Alibaba (BABA) - is a Chinese multinational technology company specializing in e-commerce, retail, Internet, and technology. 5) Amazon (AMZN) - is an American multinational technology company that focuses on e-commerce, cloud computing, digital streaming, and artificial intelligence. 6) Palantir (PLTR) - is a public American software company that specializes in big data analytics. 7) XPENG (XPEV) - a Chinese electric vehicle manufacturer. 8) Jumia Technology (JMIA) - an online marketplace for electronics, and fashion among others targeting several African countries. The company is also a logistics service, which enables the shipment and delivery of packages from sellers to consumers. 9) Coinbase (COIN) - is an American company that operates a cryptocurrency exchange platform. 10) Pinterest (PINS) - an American image sharing and social media service designed to enable saving and discovery of information on the internet using images and, on a smaller scale, animated GIFs and videos, in the form of pinboards. 11) JD.COM (JD) - is a Chinese e-commerce company headquartered in Beijing. It is one of the two massive B2C online retailers in China by transaction volume and revenue, a member of the Fortune Global 500 and a major competitor to Alibaba-run Tmall. As promised, I will do technical analysis for top mentioned stocks. To be said, I will add some more, especially some stocks to my followers from Estonia. Firstly, my technical analysis consists of buying opportunities from lower levels. I tried to identify some interesting and strong price levels which may play an important role in the future. Obviously, you should make your own fundamental research about the stock you want to invest in, and I'll just try to help you with technical analysis. The best investments consist of good fundamentals and good technical analysis. Technical analysis is like the cherry on the top of the pie, it helps to put your money to work for you as fast as possible. Important to mention that these lower prices are zones, some of them are quite wide but still, it should give you a clue to where your eyes should be pointed. Also, some of them are quite deep but I don't care, I know that if the price reaches there I'm ready. Preparations should be done early! Secondly, I tried to point out some breakout areas. Areas that are important to break before we can "sure" that the growth of the stock can continue. We don't buy randomly, we are smart, we want to make sure that our investment starts to work as fast as possible, we don't want to guess. So, the breakout possibilities are the key to higher prices, let the price show us that it is capable to go higher, as said we don't guess, let the investors show that they want to pay higher prices to buy the stocks. Ready - set - GO... 1) TESLA (TSLA) The current price action shows that the strongest zone to keep an eye on should stay around $450. A lot of strong criteria matching inside the shown area! 2) NIO (NIO) A bit riskier than Tesla but technically around $25 your alerts should be set. A bit strange PA, it can fall even a bit lower but I'll try to keep you posted! Something good from fundamentals will help ;) 3) AAPL (APPLE) After the break below the black trendline, the price can reach as low as $100, if you still wait for a bigger correction then $80 is also technically a great spot to grab it. Usually, these top market cap stocks just don't correct too deep, they are always too expensive - but good things are usually expensive ;) Buy the strength after the price of Apple has reached above 145-150 and you can grab it during the retest, as shown on the image. 4) ALIBABA (BABA) After quite a bad recent fundamentals, the price of BABA taking some hits but it has reached an interesting zone. The zone is quite wide but if you are looking to invest in BABA then technically the zone in front of you! 5) AMAZON (AMZN) Buy the strength after the new ATH and you can jump in during the retest. The lower level is far far away from the current price. As said, preparations should be done and this is the zone from where I'm interested in it. I don't care when and why it should go as low as $2000 but I know that if it goes I'm ready! 6) PALANTIR (PLTR) The "safest" way is to buy the strength. If you are waiting for lower prices, yes you can get them but technically there isn't much to support the price. Only around $15 something tiny but in general cannot recommend any price levels lower than the current price. Let the investors show you that they are interested in Palantir, let them "risk" and drag the price above $25, you can step in after that confirmation during the retest! Let them risk?! Risky, because $22 to $24 can play as a strong resistance and your investment may get stuck for months/years. As said, we need to put our money to work from high-probability areas. 7) XPENG (XPEV) Trading inside the buying area! I don't know almost anything about XPEV fundamentals BUT if you know, you have done your research, and if this matches with my TA then go for it! 8) JUMIA TECH. (JMIA) Quite a good rejection from strong support area which previously was resistance. A lot of buying power, wait for a little throwback and it should be technically a great investment. 9) COINBASE (COIN) There is no point to do TA. because we just don't have enough history for proper analysis. Only zone what would be interesting, 50% drop from the IPO and that means buy it around $190 ;) 10) PINTEREST (PINS) Keep an eye on $33- $45. Clean, simple, and strong! Just be patient! 11) JD.COM (JD) Keep an eye on $45- $56. Clean, simple, and strong! Just be patient! Hopefully, you got something from this series. Do your own fundamentals and if this matches with my TA you are ready to go! Invest like a sniper, not a machine gun. Everything comes to you at the right moment. Be patient! Pick very carefully and trigger the kill shot! Have a wonderful weekend, Vaido
NASDAQ:TSLA
by VaidoVeek
10
JD for the bullish divergence w.l.Clearly it's in a long correction. Bullish divergence is seen on 2 of the 5 indicators we look for, which is good enough to get it buy listed. The post scan criteria factors working against us are that: 1) we are supposed to be above the 50 and 200 weekly MA's, however, we are messing around with the 50 MA at the moment, which gives indecision. 2) earnings is less than 2 weeks away. Earnings is May 10th. Earnings means possibly large volatility and strange price action. 3) above average volume on recent low. This is not present. If it was it would show us buyers like the new low prices, but not seeing that, we can not say that. ---- If it wasn't for the earnings and lack of volume on recent lows I would be pretty favorable according to the criteria. It's not 5 stars, but it's probably at least 3 1/2. Worth keeping an eye on. ---- I will start putting these out in the mornings if I can ever get myself figured out that early. It is kind of hard doing this knowing the futures markets are spinning, and I'm not watching them.
NASDAQ:JDLong
by emehoke