Nvidia_analysis
$NVDA. Bearish trend. Short this dog at $175.Well, the strong bullish trend has a place because the crypto mining was the trend of 2017-2018, at the moment a lot of coins and including the Ethereum of course are developing the stacking mining model so I can't see any positive for NVidia in the near future.
NVidia is working on the AI driver, but there are too much competitors on the market, and some of the have control their own production of cars like Tesla, Jaguar or BMW.
If you like shorts or puts, I think $175 per share is the best price to short NVDA and take a profit at $100.
Time Frame: 1 Week
Resistance:
~ Strong resistance $170 - $175
~ Resistance EMA lines
~ Downtrend on the graph
Support ~ $100
Short ~$175
SL ~ $190
TP ~ $100
I have the subreddit with the same name, if you wanna ask me or community, feel free to do that. Hit like, comment and follow for more profitable ideas.
NVIDIA Elliot WaveAn Elliot Wave analysis of Nvidia using the cycle, minor, and subminuette degrees. Nvidia is on its corrective wave A (subminuette) of wave B (minor) of the overall wave B (cycle). The price is expected to dip in the next weeks, but, because of the small corrective waves in the past, the price will have a very small corrective period. Now is a great time to short, but there are a few other options to make massive amounts of money off of this trade. A long order at the beginning of wave C (minor) and a short order at the beginning of wave C (cycle) are both great times to long/short respectively. Good luck fellow traders!
NVDA (NVIDIA) Technical Analysis: Bullish Bias. NVIDIA is expected to continue its current bullish momentum with a minimum expectation of price reaching 292.75.
The 6 hour timeframe candlestick chart of NVIDIA (NVDA) is examined in today’s analysis with coverage of over 10 months of price action. The 50 moving average (MA) and 200 MA is used to help to track the trend changes in NVDA, and also suggest possible path for future price development.
NVIDIA reached a price peak of 292.75 on October 2, 2018 before reversing and selling off with 124.57 established as the price low on December 26, 2018. Besides, market close last week Friday (April 05, 2019) which is a component of the current bullish swing from 124.57 traded close to the upper boundary of immediate resistance at 194.57.
The 50 MA crossing back above the 200 MA implies more bullish upside on the 6 hour timeframe. The 50 MA maintaining a positive, rising slope is also crucial as the slope of a MA is its most important power in trend analysis.
Paying close attention to price action upon breakout above the upper boundary of resistance and watching for any signs of trend reversal is important. This is due to the falling window (gap) between 230.40 and 223.73 which presents another challenge for the price of NVIDIA.
Above all, the minimum expectation for the current price swing from 124.57 would be to capture the price peak established back in October 2, 2018.
Nvidia Bull Consolidates Before Run Continues Prior to trade talk resumes, Nvidia is seen here to be expected to consolidate further before it bulls run.
US Recession signals are still being digested by the market as 3 month and 10 year yield curve inversion leads to global equity sell off. US Tech industry is expected to further consolidate as markets anticipate the outcome of trade talk.
Trade talks have proven to be unpredictable due to Trump eccentric stance. Trump has been giving positive expectation while actual negotiator Robert has announced "more work to do" previously.
Trade war can move both way and markets are not expected to turn optimistic and bullish too early before clear signals by officials..
Ascending triangle is seen forming. Equity broke triangle range due to positive company news "of Mellanox Acquisition and Clearance of Crypto Hardware Inventory". Sentiments retreat will lead to the equity to consolidate further before further run.
Strong support line is expected to cushion the consolidation before bull continues.
Good luck!
Call me maybe? Softbank,
"I threw a wish in the well
Don't ask me I'll never tell
I looked to you as it fell
And now you're in my way
I'd trade my soul for a wish
Pennies and dimes for a kiss
I wasn't looking for this
But now you're in my way "
Did Softbank sell Nvidia?
Prices baked in now?
Sky is the limit?
Did Softbank sell Nvidia?
61,400,000 million shares traded today, while AVG Volume floats around 17.4 million in volume. Yep! 3.5x times the Volume! That's around 8.4 billion dollars exchanged! Rumors had it that Softbank wanted to sell $6 billion shares leaving $2.4 billion shares at an avg of 17.1 million in volume around current prices (135-140.)
Source:
www.bloomberg.com
hummmmmmm..........
INTERESTING...
"It's hard to look right at you baby
But here's my number, so call me maybe"
Long and Strong!
NVIDIA SHORT IDEAHi guys ! I post my recent analysis for Nvidia and sharing with you my trading idea. My main view is short for Nvidia with first price target 120$ and then 109$ . My main corcern for Nvidia is the big slowdown at crypto market and as aftermath from big prices decline is lower demand for GPU powerfull systems ( which are sold for a high price). This demand decline signals lower margin profits for Nvidia and it will be seen from investors in 2019. As from technical analysis scope the indicators that I use ADX and Vortex Index signals short for Nvidia. Also my price targets are covered from Bollinger Bands at the monthly chart that i use. Hope you find my analysis usefull fro your trades. This is only an idea, so you must consider all the variables before a trade.
If I Could Buy One Stock for the Next 5 Years,It Would Be NVIDIATake a look at its 720% surge since 2016.
Now I know you might be thinking: Stephen, this stock has already had a heck of a run… why buy it now?
I understand the concern.
But when investing in truly disruptive companies , this way of thinking is often a mistake.
From 2009–2013, Amazon (AMZN) stock gained 680%. Most so-called “experts” said the easy money had already been made. In 2013, CNN “reported” that “Amazon is one of the most overvalued stocks.”
Amazon has soared another 700% since 2013.
Nvidia Makes High-Performance Graphic Processing Units
Nvidia developed the first mass-market graphic processing unit (GPU) in 1999. GPUs use what’s called “parallel processing,” which allows the chips to perform millions of calculations at the same time.
That’s different from the way other computer chips work. Most computer chips, like the one powering the laptop or phone you’re reading this on, calculate one by one.
At first, GPUs were mostly used to create realistic graphics in video games. Remember the blocky Nintendo graphics from the early ‘90s?
The ability of GPUs to process huge amounts of data all at once helped create the movie-like video game graphics you see today.
GPUs Are Ideal for “Training” Artificial Intelligence
I’m sure you’ve seen the Hollywood movies about AI going rogue and attacking humans.
In reality, AI isn’t that glamorous. It all comes down to processing massive amounts of data.
Show a computer millions of pictures of a stop sign, for example, and it will learn to recognize stop signs on its own in the real world.
AI is the driving force behind Google’s self-driving car subsidiary Waymo. As I recently discussed in the RiskHedge Report , Waymo’s robot cars are cruising around America’s roads right now.
At the core of Waymo’s self-driving car fleet is a centralized “brain.” It has learned to recognize stop signs, pedestrian crossings, red lights, and all the other obstacles that human drivers navigate.
The Likes of Amazon, Google, and Microsoft Use Nvidia Chips to Train Their AI
The faster a computer can process data, the faster it can “learn” by recognizing patterns in the data.
Nvidia latest chips process 125x faster than traditional computer chips. They can process 125 trillion data points per second… which slashes AI “learn” times from eight days to eight hours.
This is why more than 2,000 companies including Amazon, Google, and Microsoft use Nvidia’s hardware to “train” their AI programs.
Last quarter, the revenue Nvidia earned from selling AI chips and hardware jumped 82%. In the last two years, AI-related sales have accounted for over 70% of the surge in Nvidia’s revenue. AI sales now make up 24% of its total revenue.
Most Self-Driving Car Companies Use Nvidia’s Products
As I mentioned, Nvidia supplies self-driving car companies with chips that “train” cars’ brains. It also sells hardware that processes data from the cars’ many cameras and sensors.
For example, Nvidia’s self-driving supercomputer, named Pegasus, can tackle 320 trillion operations per second. And it does so using one-third the electricity at just one-fifth the cost of its closest competitor.
Over 370 companies working on self-driving cars now use Nvidia’s products. Auto sales make up just 5% of NVDA’s total revenue today, and I see this exploding higher over the next few years as true self-driving cars roll out.
I mentioned earlier that $100 billion has been spent on developing self-driving cars so far. With the likes of Google and Apple pouring billions into driverless projects, I see that jumping to $1 trillion over the next two to three years.
Thanks to its superior technology, I expect Nvidia to capture a large chunk of this.
It’s a “High-Flying” Tech Company, but Extremely Profitable
Nvidia is nothing like many of the barely profitable tech darlings (like Netflix) out there.
While many high-flying tech stocks get by on stories and hype, Nvidia is extremely profitable.
It has a net profit margin of 33%. That is, for every $1 in sales, $0.33 becomes pure profit.
That’s better than Google’s 21% margin… and even Microsoft’s 29%.
Nvidia’s high margins allow it to continually pour cash into Research & Development (R&D). It reinvests close to 20% of its revenue into R&D every year, which is a key reason why it has blown away its rivals.
Nvidia is financially sound, too. It’s sitting on a record $7.95 billion in cash. Which is enough to pay off its total debt four times over.
Why I’m Not Concerned About Nvidia’s Price-to-Earnings (P/E) Ratio of 39.
Can buying a stock at such a high valuation be risky? Sure. But Nvidia deserves its rich valuation.
Nvidia’s earnings are growing at almost six times the rate of the S&P 500. Yet its P/E ratio is not even double the S&P’s.
I think investing in a company like Ford (F), with a P/E of 5, is far riskier than buying NVDA. I can hear the groans coming from the value investors out there.
But the fact is, Nvidia is leading the self-driving revolution… while Ford is going to get crushed by it.
Because it is powering today’s most disruptive trends, I see Nvidia doubling over the next two years.
CRYPTO vs TOP TECH vs BLOCKCHAIN TECH vs CHIP MANUFACTURERSVery excited to see the outcome of this head to head
CRYPTO-CURRENCY TOP PICKS:
NEO
GAS #teamgas
Ethereum Classic ETC #classiciscoming
BURST Coin BURST
ZCash ZEC
ZENCash ZEN
Private Instant Verified Transaction PIVX
Bitcoin BTC
Ethereum ETH
Digital Cash DASH
Monero XMR
Litecoin LTC
QTUM
TECHNOLOGY TOP PICKS:
Baidu
Tencent Holdings
Alibaba
Snap
Electronic Arts
Activation Blizzard
Intercontinental Exchange
Netease
Symantec Corp
COMPUTER COMPONENT AND CHIP MANUFACTURER TOP PICKS:
Advanced Micro Devices AMD
Nvidia
Intel
Qualcom
Western Digital
ASUS Technology
Micron Technology
BLOCKCHAIN AND MINING COMPANY TOP PICKS:
Hive Blockchain
Argo Blockchain
Riot Bloackchain
Hyperblock Inc
Atlas Blockchain Group
Benchmarks used:
-World Technology Index
-World Equities Index
-Bitcoin (crypto-currency benchmark)