Trump's August Tariff Deadline ‘Not 100% Firm,' Talks Possible
The Chinese stock market opened slightly higher today, following some of its Asian peers. A key gauge of Chinese stocks traded in Hong Kong rose as much as 0.6% before trimming some gains. The onshore CSI 300 benchmark is also up 0.2% as of 9:53 a.m. Hong Kong time. The MSCI Asia Pacific index swings between gains and losses.
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These Are the S&P 500 Stocks With the Most Upside—and Downside—According to Wall Street
Stocks are trading near record highs, and Wall Street expects them to continue their march higher over the next year. Analysts expect the S&P 500 to rise 7.5% to nearly 6,700 over the next 12 months, according to a recent analysis of stock price targets by FactSet Research analyst John Butters. (The index-level target is calculated by aggregating the median stock price target of the index's components.) Several Wall Street banks lifted their year-end S&P 500 forecasts in the last month as stocks rebounded from a tariff-driven sell-off in April to regain all-time highs. The S&P 500, which ended last week at a record, fell 0.8% to 6,230 on Monday as President Donald Trump's fresh tariff threats aggravated simmering trade anxiety. At the sector level, analysts see the most potential for upside in health care (+15.9%) and energy (+13.5%). These sectors account for half of the 10 stocks with the biggest gap between their closing price on July 2, when Butters did his analysis, and their median price target. Those stocks include health care providers Centene (CNC), Molina Healthcare (MOH), and Elevance Health (ELV), each of which saw their stocks tumble last week after Centene withdrew its full-year earnings guidance. Regeneron Pharmaceuticals (REGN) and Coterra Energy (CTRA) are also in the top 10 stocks with the most upside. Analysts are bullish on used car companies, with used parts retailer LKQ Corp. (LKQ) and online car auction platform Copart (CPRT) also in the top 10. President Trump's tariffs on imported cars, aluminum, and steel are expected to increase new car prices and nudge some buyers into the used car market. Financials and industrials, which are expected to return 3.2% and 4.2%, respectively, in the next year, are the sectors with the least upside potential, according to Wall Street. Financials are especially pricey: Investment managers Franklin Resources (BEN) and Northern Trust (NTRS) closed 23% and 18% above their respective median price targets last week. Goldman Sachs (GS) and Coinbase (COIN) were also among the 10 stocks with the most downside potential. Retail investor favorites Super Micro Computer (SMCI) and Palantir (PLTR) are also expected by the average analyst to see their share prices decline. Palantir, the best-performing stock in the S&P 500 so far this year, on Monday closed more than 26% above its median share price target. Supermicro stock closed at a 20% premium to its average target. Read the original article on Investopedia
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Tesla's core auto business has been struggling. As such, investors are putting a lot of hope on its recently launched robotaxi business. The soft launch is already experiencing some issues. These 10 stocks could mint the next wave of millionaires › It's been a tough past year or so for Tesla (NASDAQ: TSLA) operationally. Its core electric vehicle (EV) business has been struggling. Automotive revenue dropped 20% year over year in the first quarter. Meanwhile, deliveries have now fallen for two straight quarters, including a 14% decline in the second quarter. Tesla is dealing with issues on multiple fronts. In China, the world's largest EV market, it is seeing rising competition from local automakers. The same is also true in the U.S. CEO Elon Musk also isn't helping matters. His polarizing political involvement has likely alienated many of the very consumers who've historically supported the EV movement. 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The service is tightly geofenced, invitations to use the service have been limited to Tesla fans, and the robotaxis still require a Tesla employee in the passenger seat. That safety monitor has access to an emergency stop button, which has already been used to prevent accidents, although one safety driver couldn't keep a robotaxi from bumping into a parked car. The vehicles being used are also not the futuristic "Cybercabs" the company unveiled at a big event last year, they are Model Ys. Essentially, this is a prototype dressed up as a product. Several videos have already surfaced showing the robotaxis making basic driving errors, including stopping in intersections, veering into the wrong lane, or exceeding speed limits. This is worrisome, and local officials are starting to take notice. Austin City Council members have voiced concerns over safety and Tesla's unwillingness to work with the city. Unlike competitors like Alphabet's Waymo, which has collaborated with local governments, Tesla has taken a more dismissive approach, which adds both safety and regulatory risks. Meanwhile, Waymo has a big head start. The company has been running paid, driverless rides since 2022 in cities like Phoenix and San Francisco, and it's now beginning to expand to other cities, in some cases in partnership with Uber. Its vehicles use a combination of cameras, radar, and lidar. Tesla, by contrast, relies only on vision-based cameras and neural nets. Experts are skeptical of Tesla's camera-only approach. Researchers from U.C. Berkeley and Carnegie Mellon University have pointed out issues like "phantom braking," lane confusion, and the lack of redundancy that radar or lidar provides. While Tesla's system can be trained to handle most conditions, critics worry that its vehicles struggle with the unexpected, like inclement weather or complex traffic patterns. While Tesla's robotaxi vision may eventually pan out, it's far from being a slam dunk. There is also the question of its business model. Thus, far, it has mostly given rides to influencers, many of whom are already Tesla loyalists. But Musk has done a lot of brand damage, and that could certainly extend to its robotaxi business, as well. The business model would seemingly work best in cities, which often tend to have a liberal bent. Now this doesn't mean Tesla can't eventually build a successful robotaxi business, but with its EV segment under pressure, the stock now depends heavily on a product that doesn't yet work, in a market that's highly regulated, and where a major competitor is years ahead. Trading at a forward price-to-earnings (P/E) ratio of more than 150 times 2025 analyst estimates, Tesla's valuation still reflects a future where autonomous driving becomes mainstream, and where Tesla, not Waymo or another company, is the dominant player. That's a huge bet, and right now, it wouldn't be the robotaxi company I'd wager on. Ever feel like you missed the boat in buying the most successful stocks? Then you'll want to hear this. On rare occasions, our expert team of analysts issues a 'Double Down' stock recommendation for companies that they think are about to pop. If you're worried you've already missed your chance to invest, now is the best time to buy before it's too late. And the numbers speak for themselves: Nvidia: if you invested $1,000 when we doubled down in 2009, you'd have $413,238!* Apple: if you invested $1,000 when we doubled down in 2008, you'd have $40,540!* Netflix: if you invested $1,000 when we doubled down in 2004, you'd have $699,558!* Right now, we're issuing 'Double Down' alerts for three incredible companies, available when you join , and there may not be another chance like this anytime soon.*Stock Advisor returns as of July 7, 2025 Suzanne Frey, an executive at Alphabet, is a member of The Motley Fool's board of directors. Geoffrey Seiler has positions in Alphabet. The Motley Fool has positions in and recommends Alphabet, Tesla, and Uber Technologies. The Motley Fool has a disclosure policy. Musk's Robotaxi Push Heats Up. Will It Make or Break Tesla's Future? was originally published by The Motley Fool Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
