Yeah, looks like $BMW is gearing up for a strong upside. The energy inside the chart is looking very promising. When/if price climbs back above $68.94 and holds, then the lows are in. $BMW chart is looking way more promising than Porsche’s $P911. ⏳ 🥋 #BMW #TechnicalAnalysis #ChartReading #StockTrading #Investing

🔋🔋LITHIUM & MANGANESE General Motors seems to be taking the initiative in North America. It seems worldwide there is a movement towards lithium - manganese rich chemistries. A nice chart from Benchmark Mineral Intelligence shows this. $GM $EMN $VUL $VOWG $RNO $MBG $BMW $STLA

Former $NVDA employee explains why $NVDA dominates the industrial robotics segment ( $NVDA, $BMW, $AMD, $QCOM, $AMZN ): - The expert emphasizes that $NVDA has increasingly focused on industrial robotics over the past two years, aligning closely with trends. Industrial robotics has a clear trajectory, and $NVDA is well-positioned due to its integration of AI, digital twin technologies, and end-to-end platforms. What sets $NVDA apart is its robust software stack, particularly the Isaac SDK, which simplifies deployment and system scaling. - The expert highlights that $NVDA's digital twin technology transforms industrial operations by enabling immersive, interactive factory simulations. In the $BMW example, the digital twin isn't primarily about robotics or supply chain ordering, but about virtually designing and testing the layout and flow of an entire new factory based on past learnings. It allows engineers to simulate and iterate various "what-if" scenarios, such as how to best route materials or whether one robot could handle multiple tasks instead of just one, to maximize efficiency and productivity. - According to the expert, $NVDA's key challenge in robotics lies primarily in external pressures rather than internal shortcomings. Cost is a significant hurdle for customers, as Jetson-based robotics solutions are relatively expensive, leading many to scale down performance to make implementations more affordable. Internally, while $NVDA remains highly capable and committed, particularly given Jensen Huang’s personal interest in robotics, the company must balance resource allocation amid higher-margin opportunities in data centers and AI infrastructure. - The expert explains that $NVDA faces competition in robotics primarily from established semiconductor players like $NXPI and Renesas, both of which have deep ties to the industrial market. Additionally, $AMD and $QCOM are emerging as increasingly serious contenders, investing heavily in robotics frameworks and publishing relevant materials. In parallel, $AMZN is a significant player in industrial automation, though $AMZN's efforts are internal and not commercialized for external clients, limiting their competitive impact on $NVDA's broader market reach. - Among startups, the expert points to Figure AI, a humanoid robotics firm backed by $NVDA itself, as an example of how $NVDA strategically fosters the ecosystem by supplying hardware and SDKs rather than competing directly. Most startups in the space either rely on $NVDA's technology stack or are part of its startup partner program, suggesting that, while the competitive field is growing, $NVDA continues to dominate through vertical integration of compute, software, and simulation, with relatively few direct rivals offering an equivalent end-to-end industrial robotics solution.

$NULL is alpha on Base. Immutable code. It will run forever, buying & burning NULL @NullMatrixAI Less than 9000 remaining. 10% Forever Burned. Not sure who needs to hear it? $aero $well $bmw #doginme $keycat

📉 Are most automakers uninvestable? 10 of the biggest names have posted negative stock price CAGR over the last 10 years — including $VWAGY, $BMW, $F, and $MBG. Legacy scale isn’t translating into long-term returns. Is this a value trap, or a setup for mean reversion?

New multi-parter on $BMW, in which I explore what sets the company apart from other legacy players as well as the strategy for profitable growth. Please share with anyone interested in cars!

$NIO $BMW $ MERCEDES $AUDI PREMIUM GERMAN CARS SHARE IN CHINA FALLING

#ACFMarketWrap: Stocks slip as trade tensions flare: Trump vows to ▲2x steel/aluminum tariffs to 50%, CN accuses US of deal breach. No ceasefire from Kyiv–Moscow talks. US ISM Manuf. PMI misses @ 48.5 (vs 49.5 exp). $RHM, $SRT -3%+, autos slide: $DTG -2.8%, $MBG -2.6%, $BMW -2.4%, $POAHY -2%. Megacaps mxd: $GOOG -1.53%, $META +2.44%, $NVDA +1.56%, $TSLA -2.47%. #DowJones -0.38%, $NASDAQ +0.21% FTSE 100 flat. WTI ~$62.89bbl. Fed Chair Powell Speech & ECB rate cut next in focus. #ACFView

Former $TSLA employee believes $TSLA holds a specific dominance in the EV industry ( $GOOGL, $BMW, $RIVN ): - The expert emphasized that the Chinese EV landscape is fundamentally different from the U.S. due to factors such as government incentives and labor costs. In the U.S., affordability and perceived residual value are major concerns; however, the expert noted that leasing can mitigate worries about depreciation and evolving technology, especially for short-term users. Long-term owners, like some Tesla drivers logging over 500,000 miles, often find value in retaining their vehicles, and federal EV incentives (like the $7,500 credit) help with affordability. - The expert highlights that while EVs do require fewer routine services, such as oil changes, service revenue for dealerships may not necessarily decline in the long term. He emphasizes that EVs bring new maintenance demands, such as more frequent tire replacements due to vehicle weight and specialized tire designs, which create service opportunities. -  He believes volume will ultimately offset the lower per-vehicle service frequency, especially as PHEVs with increasingly longer electric ranges help bridge the consumer transition. - According to the expert, one of the biggest challenges to EV profitability is a lack of vertical integration. Many manufacturers still rely heavily on external suppliers for key components, which drives up costs and limits flexibility. $TSLA stands out for having prioritized in-house production and close integration between engineering and manufacturing from the start, this gives them cost and efficiency advantages that others lack. - Companies like $RIVN and $LCID remain in the early stages, concentrating on high-end models and limited production volumes, which makes scaling challenging and profitability hard to achieve. However, $RIVN offers a promising example of strategic thinking by leveraging its software capabilities in partnership with $VOW's scale to unlock additional revenue streams.

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$PVS partner with $Nvidia , $Intel, $Dell, $BMW and many more Marketcap 6m… Low risk, high reward Long term, slow cook, easy ride

2 Rounds with $BMW 20%+ each time Printing 💰 better then few crypto memes 🥋 #RTrade $Bmw

European automakers are still facing many challenges. Stellantis's performance continues to decline, while Volkswagen and Mercedes also reported disappointing earnings today, all three withdrew their guidance. $STLA $TSLA $GM $MBG $BMW #Porsche $VOW

European new 🚗 sales seem flatish in June but there are huge divergences between automakers. We still wait on 🇬🇧 & 🇩🇪 markets but initial data shows $BMW $MBG & $VOW outperform benchmark as indeed does $RNO. $TSLA still looks -10% as BEV demand grows. Plus ça change