Electricvehicles
NIO - Will Rise From Ashes 🦅Hello TradingView Family / Fellow Traders. This is Richard, also known as theSignalyst.
📉 NIO has been overall bearish trading inside the falling wedge pattern, and it is currently diving inside a weekly demand zone 6.5 - 10.0
The bears are still in control managing to make new lower lows. But, we can clearly see that the impulse movements are getting flat and small.
This signals an early alert that the bears are exhausted. However , it doesn't mean that bulls are in control yet.
🏹 For the bulls to take over, hence have a long-term shift in momentum, we need a break above the last major high in gray.
📊 Meanwhile, until the bulls take over, NIO can still dive till the lower bound of the demand zone around 6.5
📕 Always follow your trading plan regarding entry, risk management, and trade management.
Good luck!
All Strategies Are Good; If Managed Properly!
~Rich
Copper is red hot on China’s reopening, but there is more to itCopper is to commodities, what tech stocks are to equities. They are both historically cyclical but also promise potential long-term growth. Tech stocks were down last year, not because the underlying technologies were dead, but because central banks were aggressively tightening monetary policy. Copper too endured the same fate on account of macro headwinds despite the accelerating energy transition. Lockdowns in China added another layer of disappointment.
So, with the macro backdrop changing this year, is the red metal becoming red hot? Markets appear to be endorsing that narrative. What does the demand and supply situation look like?
China reopening
China consumes more than half of global refined copper with its demand experiencing an eight-fold increase in the past four decades1. Chinese manufacturing activity, therefore, is inevitably a key driver of copper prices (see figure below).
Chinese manufacturing activity remained contractionary through August till December last year, as evident from the Manufacturing Purchasing Managers’ Index. In January, while the number remained contractionary at 49.22, the expectation is for it to pick up in the coming months if lockdowns remain sustainably lifted.
China is a crucial source of copper’s green demand too. Chinese subsidies for electric vehicle (EV) makers have given rise to a booming industry to the point where BYD is now competing fiercely with Tesla for market share worldwide. Although subsidies for producers will come to an end this year, tax exemptions for buyers will remain in place through 2023. This will further be supported by the rollout of charging infrastructure, a key component of China’s 14th 5-year plan issued in December 2022.
A battery EV can require three to four times as much copper as an equivalent internal combustion engine vehicle. Similarly, a 200 kilowatt (kW) fast charging station uses around 8 kilograms of copper3. There is a similar multiplicative effect on copper demand from other energy transition applications like renewable wind and solar power, which China is heavily investing in.
The supply side
In What’s Hot: Dr Copper’s misdiagnosis, we highlighted how copper’s inventories on exchanges are perilously low, a sign of supply tightness which could exacerbate if demand picked up quickly.
According to Wood Mackenzie, copper may see a slight global refined market surplus of 170 kilotons (kt) in 20234. But there is considerable uncertainty surrounding this forecast. On the supply side, disruptions such as the ones we’ve seen recently in Peru could play an important role. Peru is the second largest copper producing nation and is responsible for around 10% of global mined production.
Anti-government demonstrations in Peru have led to shipments being halted at the 300 kt Las Bambas mine, and disruptions at Glencore’s 180 kt Antapaccay mine, and other mines including Constancia (117 kt) and Cuajone (148 kt)5.
The figures above highlight how disruption in supply from Peru can easily tip the copper market into a deficit. While disruption may not be as severe this time as it was when Covid caused mine closures in Chile and Peru in 2020-2021, it could still be meaningful especially if coupled with more demand from China. Market pricing has been moving in response to these developments.
The energy transition
At the World Economic Forum in Davos in January, European Commission President Ursula von der Leyen pledged unprecedented support in clean technology across all sectors of the energy transition. For Europe to remain competitive in the new era of clean energy, it must offer something that can rival the US Inflation Reduction Act. In 2023, we expect more action from US, Europe, and China now that energy security has become synonymous with the energy transition.
According to Wood Mackenzie, for the world to be on track for net zero by 2050, 9.7 Mt of mine supply will need to come from projects that are yet to be approved. This amounts to $23bn of investment a year in new projects, 64% higher than the average annual spend over the last 30 years.
Conclusion
Copper’s long-term demand trends suggest it could continue trending upwards but remain cyclical depending on the macroeconomics. Cyclical pullbacks could create interesting entry points for investors who recognise copper’s structural case.
Sources
1 International Copper Study Group’s Factbook 2022.
2 Bloomberg, January 2023.
3 International Copper Study Group 2023.
4 Wood Mackenzie’ report, “Copper: Things to look for in 2023” dated January 2023.
5 Morgan Stanley as of January 2023.
TSLA vs NIO: Buy and Sell EV's against each other v2!Okay so an update on a strategy we have been working on since well into early 2019. if you want to see the earlier chart it will be here or down below.
$1000
May 29 2019: Bought TSLA @$189.86 or 5.2 shares
a number of trades
October 26 2020: Sold NIO @$26.01 (cash $14,726) for TSLA @$420.28 or 35 Shares - total now 93.5 shares of TSLA
Current Total = 93.5 Shares of TSLA for value of $38516 or $37515 in profit
V2 starts with this refresh of the chart after a few splits.
An entire year went by until end of july 21 we started to see some slack in the market.
April 27 2022: Sold 93.5 shares TSLA @340.87 for NIO @18.28 or 1736
June 30 2022: Sold 50% of NIO 836 @22.01 for $19113 for tesla @301.76
NIO836 TSLA63
August 25 2022: Tsla split 189
September 6 2022: Missed a TSLA sell on Sept 6
October 31 2022: Tsla sell 189 @227.10 42921 Bought NIO @9.66 for 4443
total NIO 5279 shares
January 6 2023: Sold 50% NIO 2639 @9.82 25921 Bought TSLA 106.4 243 shares
February 15 2023: Sold TSLA @212.37 51735 for NIO @10.22 5062
Total 7701 Shares of NIO or $78708!
February 22 2023: didn't like what we see so we sold all NIO @10.14 $78088
50% cash 50% TSLA @$197.18 or 198 TSLA shares and $39042 in cash
Rev Your Engines: Why BMW is Poised to Dominate the Electric CarAlright folks! Today we're going to talk about a company that you might have heard of before, but maybe not in the way I'm about to present it. I'm talking about Bayerische Motoren Werke AG, or as most people know it, BMW.
Now, BMW has been around for a long time. They've been making cars since 1916, and in that time they've built a reputation for producing high-quality, luxury vehicles. But there's more to BMW than just luxury cars. They've also been at the forefront of innovation, particularly when it comes to electric vehicles and self-driving technology.
Now, I know what you're thinking. "Joe, I don't care about electric cars, I want to make money!" Well, let me tell you, investing in BMW is a smart move for a few reasons.
First of all, the company is a leader in the luxury car market, which is a highly profitable niche. They have a strong brand that's synonymous with quality and prestige, and they've consistently delivered on that promise. That means that they're able to charge premium prices for their vehicles, which translates into higher profit margins.
But it's not just about luxury cars. BMW has also been investing heavily in electric vehicles and self-driving technology, and they're making real progress in these areas. Their i3 electric car is one of the best-selling EVs in Europe, and they're set to release several new electric models in the coming years. And when it comes to self-driving technology, BMW has partnered with Intel and Mobileye to develop the technology that will power their upcoming iNext vehicle.
And here's the thing. Electric vehicles and self-driving cars are the future of the automotive industry. As governments around the world look to reduce carbon emissions and improve road safety, these technologies are going to become increasingly important. That means that BMW is well-positioned to capitalize on these trends and stay ahead of the competition.
So, to sum it up, investing in BMW is a smart move. They're a leader in the luxury car market, they're making real progress in the electric and self-driving space, and they have a strong brand that's built on a history of quality and innovation. If you're looking for a company that's poised for growth in the coming years, BMW seems like a great bet.
TSLA - In Bottom FormationTSLA is in bottom formation. It broke its trendline resistance with strong buying volumes and formed breakaway gap during announcement of its quarterly results.
This giant of electric vehicles stayed in topping zone for almost 2 years. Topping is a phase when a stock lacks any clear direction of movement and keeps swinging between a price range.
After formation of topping zone, TSLA followed imminent decline after breaking down the support of $200 price level. Recently, however, TSLA has seen a turnaround with the support of large buying volumes.
Now TSLA's next flight depends on its upcoming quarterly earnings. If it continues its growth, it could reach its all-time high (ATH) of $400. And if growth continues, it could surpass $400 level in the years to come.
TESLA Above its 1D MA50, first time since September. 193 target.Tesla Inc (TSLA) broke today above its 1D MA50 (blue trend-line) for the first time since September 22 2022. This is a major bullish break-out on the medium-term as every time it did so inside the long-term Bearish Megaphone pattern, the price rose by around +27.50%.
The 1W RSI is on a bullish reversal bottom pattern and as the price is also above the Lower Highs trend-line (dashed) of the last High, a +27.50% rise from the 1D MA50 sets a target for us at $193.00. Risk seekers can hold up to the 1D MA200 (orange trend-line).
-------------------------------------------------------------------------------
** Please LIKE 👍, FOLLOW ✅, SHARE 🙌 and COMMENT ✍ if you enjoy this idea! Also share your ideas and charts in the comments section below! **
-------------------------------------------------------------------------------
💸💸💸💸💸💸
👇 👇 👇 👇 👇 👇
TSLA - Mixed Sentiment; Bias Downside.This may not be the type of post that satisfies everyone's thoughts and outlooks; however, lets get with it. Current price of this post is 144.15
There are many moving parts for TSLA, but what matters the most is not what we think; moreover, how the markets react. With that being said, we could see the following moves.
Upside:
first point touch 152
range 160 - 165
Downside:
first point touch 114
range 119 - 123
Granted those may seem like large movements, then again, we're talking TSLA.
My bias on TSLA is the market will wind-up to the downside, even if the stock spikes to the upside initially. And, I believe TSLA will be resting the 2023 lows before the end of February.
Therefore, if TSLA spikes and remains, look for TSLA back below the 152.
Tesla Inc. (TSLA) bullish scenario:The technical figure Channel Down can be found in the daily chart in the US company Tesla Inc. (TSLA). Tesla, Inc. is an American multinational automotive and clean energy company. Tesla designs and manufactures electric vehicles (electric cars and trucks), battery energy storage from home to grid-scale, solar panels and solar roof tiles, and related products and services. Tesla is one of the world's most valuable companies and is, as of 2022, the world's most valuable automaker. The Channel Down broke through the resistance line on 24/01/2023. If the price holds above this level, you can have a possible bullish price movement with a forecast for the next 18 days towards 168.10 USD. Your stop-loss order, according to experts, should be placed at 108.76 USD if you decide to enter this position.
Tesla Inc. said Tuesday it plans to spend $3.6 billion to expand its Sparks, Nev., gigafactory where it currently makes batteries and electric-vehicle parts.
The announcement came a day before the EV maker reports crucial quarterly earnings, and after CEO Elon Musk completed his third day of testimony in a trial over shareholder losses following tweets he made in 2018 about taking Tesla private.
Tesla said the battery facility would have capacity to produce “enough batteries for 2 million light duty vehicles annually.” In early January, Tesla said it delivered about 1.31 million vehicles in 2022. Analysts expect Tesla to increase deliveries to about 1.92 million in 2023.
Risk Disclosure: Trading Foreign Exchange (Forex) and Contracts of Difference (CFD's) carries a high level of risk. By registering and signing up, any client affirms their understanding of their own personal accountability for all transactions performed within their account and recognizes the risks associated with trading on such markets and on such sites. Furthermore, one understands that the company carries zero influence over transactions, markets, and trading signals, therefore, cannot be held liable nor guarantee any profits or losses.
NIO CARSif you don't like Tesla, Here Nio, the chinese version.
- Like Tesla, Nio makes luxury electric vehicles. Unlike Tesla, Nio does not make its own EVs, instead partnering with a state-owned auto manufacturer. Nio, Xpeng (XPEV) and Li Auto (LI) are startup rivals to Tesla in China, the world's fastest-growing EV market.
- Nio's great advantage is that its owners have the luxury of using both battery-swap and charging, reducing battery and range anxiety some might have with electric vehicles. In 2021, the founder, Li Bin, announced that Nio plans to expand to 25 different countries and regions by 2025.
Trading Parts :
- Notice the GAP in October 2022, around 10$. Then NIO started his first bullrun to 66$+.
- Right now the Gap has already been taken back in October 2022.
---------------------------------------------------------------
Buy Zones :
---------------------------------------------------------------
- Buy breakout around 13$
or
- Buy Retracement around 10$
TP : 26$ ish. ( at GAP zone )
SL : 5.8$
---------------------------------------------------------------
- Trading is Trading but i consider NIO as good long term investment, but it's just my humble opinion.
Happy Tr4Ding !
PSNY: MACRO ANALYSIS / INTERSECTING CHANNELS / SQUEEZE? (UPDATE)DESCRIPTION: In the chart above I have included an in depth MACRO ANALYSIS of PSNY.
IMPORTANT:
- With late Novembers PRICE ACTION rejection at around 8 POINTS this led me to consider that despite our current uptrend the CEILING of the PREVIOUS DOWNTREND CHANNEL IS STILL VERY MUCH IN PLAY.
- RESISTANCE THAT WAS SEEN AT 8 POINTS WAS EXACTLY WHERE THE INTERSECTION LIES FOR BOTH THE CEILING OF PREVIOUS DOWNTREND CHANNEL AND CURRENT UPTREND CHANNEL.
POINTS:
1. DEVIATION OF 1 POINT PER SUPPLY & DEMAND POCKET. (Gaps between Supply & Demand Pockets is due to lack of STABLE CONSOLIDATION)
2. FUTURE POINTS OF CONTACT were estimated by taking MEAN AVERAGES from PREVIOUS POINTS OF CONTACT.
3. PREDICTED 10 DOLLAR price target by FEBRUARY 14TH was estimated by taking into consideration how much previous rally made price action increase after serious consolidation.
4. IT IS CRUCIAL MACD BEGINS TO STAY CLOSE TO MEDIAN AS IT CAN BE A GREAT PREDICTOR FOR A POTENTIALLY BIG MOVE.
SCENARIO #1: In a bullish scenario price action follows given path or makes more points of contact eventually breaking to the upside from DOWNTREND CHANNEL CEILING.
SCENARIO #2: In a bearish scenario it is important price action does not fall below 5 points this would in fact invalidate entire setup.
FULL CHART LINK: www.tradingview.com
NASDAQ:PSNY
NASDAQ:PSNYW
when is the time to be long for $tsla?
$tsla is the one of the most popular company nowadays and every one has started to talk about getting in regardless what the analysts are saying. It dropped almost 75% from the top and there is still no any sign for uptrend. there are weekly supports may help to keep the price up. However, It seems that It will not bounce back until it touches the lower channel. I will definitely get in if I see uptrend on daily basis.
TESLA Is this low price inevitable?Tesla Inc (TSLA) is having one of the worst months in history, breaking below the 1M MA50 (blue trend-line) for the first time since October 2019. The 1W RSI hit the oversold level (30.000) similar to May 2019 but that alone may not be enough to give the stock the much needed Support.
Even though on the May 2019 low the price rebounded just above the 0.382 Fibonacci level, it was most likely the 1M MA100 (green trend-line) that saved the day and provided Support. That is currently considerably lower at 87.50.
What's even worse is the fact that the bottom of historic Channel Up on the log scale that Tesla has been trading in since its IPO, is much lower. Is this test inevitable for the stock? If the current macroeconomic conditions don't shift back to those of low borrowing costs that empowered Tesla's rally the previous years, then the situation can get considerably worse.
What do you think? Is this inevitable?
-------------------------------------------------------------------------------
** Please LIKE 👍, SUBSCRIBE ✅, SHARE 🙌 and COMMENT ✍ if you enjoy this idea! Also share your ideas and charts in the comments section below! This is best way to keep it relevant, support me, keep the content here free and allow the idea to reach as many people as possible. **
-------------------------------------------------------------------------------
You may also TELL ME 🙋♀️🙋♂️ in the comments section which symbol you want me to analyze next and on which time-frame. The one with the most posts will be published tomorrow! 👏🎁
-------------------------------------------------------------------------------
💸💸💸💸💸💸
👇 👇 👇 👇 👇 👇
NIO: Waiting on the Bottom for EVsThis is not actually a bottom starting yet. NIO needs to show some up and down sideways action that holds above the low of 8.40. But it is at strong support level from its IPO sideways pattern from 2018. This is a weekly chart so you can see that long-term support, which is both fundamental and technical.
For ALL Electric Vehicle manufacturers, 2023 may possibly be that big growth year. It is important to keep an eye on all new technologies because when the Post-pandemic Renaissance really takes off, the speed at which EV dominates will probably surprise most people.
The top 3 EV companies, Top 3 Semi-conductor companies for EV, the Top 3 companies for major components like solid state batteries, the Top component manufacturers for sensors, etc. are all up for grabs. Nobody has the lead right now.
It is all about who can convert to robots and robotics faster and who incorporates solid state batteries and other component integration to meet demand. Don't worry about charging stations. Those are already being built and incorporated into gas stations everywhere, corporate offices and public transportation.
MULN | E.V. Contender Oversold | LONGMullen Automotive, Inc., an electric vehicle company, manufactures and distributes electric vehicles. It also operates CarHub, a digital platform that leverages AI to offer an interactive solution for buying, selling, and owning a car; and provides battery technology and emergency point-of-care solutions. The company was founded in 2014 and is based in Brea, California.
LCID Short or GET OUT OF ITNASDAQ:LCID
Major Bearish Trend, Nothing bright in the future, Not in the technical view or fundamental.
The company is losing money, doesn't produce any products, just lies to investors, and wastes their time.
Short it if you get a nice short Fee, leave it if you are long.
Good luck
(*Shorted it so many times)
Price goal - 2$ until bankruptcy
$FSR $5.00 OR $50.00 -----Not a Single Car sighted in LA The first Fisker Ocean rolled off the assembly line at Magna on Nov. 17, in line with expectations. Being on time is a rare feat for EV start-ups.
Fisker expects to build and ship 42,000 Ocean SUVs in 2022. That's the next test for the company and the stock.
Will AI help us in building better batteries?We have written a series of blogs on how artificial intelligence (AI) is advancing other megatrends:
AI Continues to Build the Foundation for a Remarkable Future in Biology
Can AI Replace People? The Truck-Driving Case Study
The World Needs More Metals. Maybe AI can Find Them.
By exploring these connections between themes, we can view AI less as a black box of algorithmic complexity and more as something that is focused on solving concrete problems in the world.
A brief primer on electrochemical batteries1
What we know today as ‘lithium-ion’ batteries fall into the class of ‘electrochemical batteries’. For the battery to generate power the chemical process has to generate electrons, and for the battery to be ‘re-charged’ it has to store electrons.
The structure of the battery involves the anode (negative side), electrolyte and cathode (positive side). The current that the battery can generate relates to the number of electrons flowing across from negative to positive, and the voltage relates to the force with which the electrons are traveling.
Using the battery, that is, using your smartphone or driving your electric car, means that the electrons are flowing from the anode, through the electrolyte and to the cathode. Charging your devices means that you are forcing the process to occur in reverse, where the electrons are leaving the cathode, going back across the electrolyte and ending up in the anode.
Why do we have to know all of that?
Some of you might be like me and think—my last chemistry class was more than 20 years ago. The reason we set that foundation, however, is that it now allows us to think in terms of the following:
The different parts of the battery can be fashioned out of different elements.
Changing the mix of metals in the cathode, for example, may impact the energy density, speed of charging, heat dispersion or other battery characteristics.
Researchers can experiment with all sorts of different anodes, cathodes and electrolytes as they seek to optimise the characteristics of a given battery to its use case.
Now we can better understand the ways in which an artificial intelligence process can be utilised to seek to improve different characteristics of the batteries that we use.
Who wants electric vehicles to charge faster?
One of the many obstacles to the wider usage of electric vehicles is the time it takes to charge a battery vs. filling a tank with petrol. Since filling the tank is much faster, they opt for the internal combustion engine over the battery electric vehicle.
There is huge marketability for automobile manufacturers and battery-makers for every unit of time they can shave off of charging times.
Researchers at Carnegie Mellon used a robotic system to run dozens of experiments designed to generate different electrolytes that could enable lithium-ion batteries to charge faster. The system is known as Clio, and it was able to both mix different solutions together as well as measure performance against critical battery benchmarks. These results were then fed into a machine-learning system, known as Dragonfly2.
Dragonfly is where the process starts to get exciting—the system is designed to propose possible combinations of chemicals to be used in the electrolytes that could potentially work even better. Using this process during this particular time period led to six different electrolyte solutions that outperformed a standard one when they were placed into typical battery test cells. The best option showed a 13% improvement relative to the top-performing battery baseline3.
In reality, electrolyte ingredients can be mixed and matched billions of different ways, but the benefit of using the system of Clio and Dragonfly working together is that one can get through a wider array of possibilities faster than humans alone. Dragonfly also isn’t equipped with information about chemistry or batteries, so it doesn’t bring the ‘bias of previous knowledge or experience’ to the process.
Using AI to help the progress of solid-state batteries
While the aforementioned path involves improving liquid electrolytes, it is not the only critical area of battery research today.
If the flammable, liquid electrolyte is replaced by a stable solid, it’s possible that there would be improvements in battery safety, lifetime and energy density. However, finding the appropriate materials to facilitate building solid-state batteries that fit all specifications and that can be produced at scale is not a simple matter.
Researchers at Stanford have noted a particular process where they compile data on 40 materials with both good and bad measured room temperature lithium conductivity values. This particular characteristic is thought to be the most restrictive of all the different constraints on candidate materials. The 40 examples are ‘shown’ to a logistic regression classifier, which can ‘learn’ to predict whether the material performed well or not based on the atomistic structure. After the training phase, the model can then evaluate more than 12,000 lithium-containing solids and find around 1,000 of them that have a better than 50% chance of exhibiting fast lithium conduction4.
Progressing solid state batteries along the development path is therefore another clear use-case for artificial intelligence.
Conclusion: energy storage is one of the most important considerations for the coming decades
Having better energy storage solutions will help global society in myriad different ways. The classic case—there are intermittent power generation sources like solar and wind that can use batteries to equilibrate the flows of energy across time. However, I think we’d all love smartphones that don’t need a charge for a week or electric vehicle batteries with long range that can charge in similar times to what it previously took at a gas station.
Sources
1 Source:Volts - A primer on lithium ion batteries
2 Source: Temple, James. “How robots and AI are helping develop better batteries.” MIT Technology Review. 27 September 2022.
3 Source: Temple, 27 September 2022.
4 Source: Reedgroup Stanford
Buy DCFC TritiumLovely looking monthly chart here on this recent electric charging ipo on the nasdaq. The three monthly candles of Jan, Feb and March show a very nice bullish pattern.
Biden ramped the hell out of this one, when the management met him and he talked about it in his press conference right up to $20 in one day before profit takers stepped in. Nice one to buy at 8.8, hold and forget about for a few years. Expect this one to grow a lot.
RIVN: Torque to 44?!RIVIAN AUTOMOTIVE
Intraday - We look to Buy at 31.23 (stop at 26.03)
The trend of higher lows is located at 28.60. This is positive for sentiment and the uptrend has potential to return. Prices expected to stall near trend line support. Dip buying offers good risk/reward.
Our profit targets will be 43.94 and 48.00
Resistance: 44.00 / 57.00 / 108.00
Support: 30.00 / 19.00 / 10.00
Please be advised that the information presented on TradingView is provided to Vantage (‘Vantage Global Limited’, ‘we’) by a third-party provider (‘Signal Centre’). Please be reminded that you are sole ly responsible for the trading decisions on your account. There is a very high degree of risk involved in trading. Any information and/or content is intended entirely for research, educational and informational purposes only and does not constitute investment or consultation advice or investment strategy. The information is not tailored to the investment needs of any specific person and therefore does not involve a consideration of any of the investment objectives, financial situation or needs of any viewer that may receive it. Kindly also note that past performance is not a reliable indicator of future results. Actual results may differ materially from those anticipated in forward-looking or past performance statements. We assume no liability as to the accuracy or completeness of any of the information and/or content provided herein and the Company cannot be held responsible for any omission, mistake nor for any loss or damage including without limitation to any loss of profit which may arise from reliance on any information supplied by Signal Centre.