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Big Things in 2023Cepton ( NASDAQ:CPTN ) has been quiet for a few quarters now. Earnings are coming up on May 9th and revenue is expected to increase each quarter to 2024. According to TradingView's Forecast, 3 out of 5 indicate CPTN is a strong buy. The expected revenue growth through Q4 2023 is expected to grow almost 4x from where we are now. What is great, is no one is talking about Cepton. Reddit, TradingView Ideas, and our typical blogs have been radio silence. The current RSI indicates we are likely oversold in the latest dump and have an opportunity to grab a good entry as we head to 2024. With each Automaker investigating how to implement LiDAR solutions in their future product, they will likely need to work with one manufacturer and stick with them due to challenging packaging constraints and system integration work with each LiDAR module. I expect that the contracts that CPTN currently has and future business to be long term revenue generators to help them achieve these revenue targets. As more automakers launch products and reveal future vehicles with autonomous systems utilizing LiDAR, this will be a stock to watch. Let me know what you think.
NASDAQ:CPTNLong
by Cam0110
3
Lyft Will Break Past $50 Early 2021 - Conscientious StockHear me out here... Lyft is actually a more "green" company than Uber, aside from the fact that its brand is also a lot healthier in terms of corporate stewardship/driver care. Uber is simply trying to replace drivers with robots, and in the long-term, that strategy is not going to do well in the face of competition from companies such as Google & Tesla. However, in the short-term Lyft is going to continue grabbing more and more of the market. The pricing is fairer, to the point where I've seen it make more sense for my own earnings/time-value to take a Lyft than to take a bus (bus $5 one way, Lyft $6ish one way in this example). Furthermore, individuals who care about the environment will benefit more from using/investing in Lyft because it is a lot more efficient than Uber in terms of Co2 emissions. Although there are shared rides for Uber, Lyft's biggest attraction is the shared ride (in my eyes). I don't have the research showing me that Lyft uses less carbon to transport people, but I can tell you that Lyft is going Carbon neutral and Uber is not: www.theatlantic.com If you are looking for a stock to hold for the next decade, with a high chance of risk and an equally high chance of reward, then Lyft is it. Lyft may end up being acquired by a company like Google or Tesla if the chances are right, but I am not certain of that possibility. What I know is that a network of drivers and riders who appreciate low Co2 emissions and low costs is going to be valuable to the companies that are able to automate driving services using robots (if they want to acquire the network and feed it the technology to profit). Robotics can halve the price of a ride-sharing ride, so if it can do that who has the most to lose? Uber who started out as a "luxury service" and is trying its best to break into everything transportation (food, shared rides, etc), while battling scandals and such, or Lyft who started out as a ride-sharing app for the people BEFORE Uber was invented? "Lyft may be smaller than Uber, but it has been around longer: The Lyft app launched in 2012 (Uber, originally called UberCab, in 2009), but Lyft started life as a side project for Zimrides, a carpooling service founded in 2007 that leveraged Facebook and students for long-distance ride-sharing back when Uber was just a limousine-shaped gleam in the eye of Canadian co-founder Garrett Camp." - ride.guru Yes, Google does have Google Maps which would be a perfect place to "inject" a robotic ride-sharing app into. However, the markets run on human emotions as far as robotics goes. Even though the media is doing its best to open our eyes to the future worlds that are possible through technology, a consumer WILL be more likely to trust Lyft even if it is still dependent on drivers because 1. that will ensure that drivers will still make a living before the majority is able to shift into new jobs (which could take upwards to a decade once robotic driving rolls out), than they will be to trust Google (working with the Chinese from time to time, censoring Google on the Chinese side, etc), or to trust Uber (company that wants to put profits above people, drivers, etc, and does not have a good innovative arm to do it regardless of the investment money that they've been given and continue to burn through). Thoughts? Concerns? Critiques?
NASDAQ:LYFTLong
by youareallset
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.
NASDAQ:NVDALong
by StephenMcBride
1