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牛哥说钱 Private ID: 73218782
youtube:https://youtube.com/@niuge988 X:@niuge988
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    Holds positions in Tesla, Nvidia, Microsoft, Meta, IWM, Coin, IBIT, Ultra Computer, CRWD, U, Cost, and some sector funds.
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    The overall situation has stabilized
    After reducing the position, the profit was stopped, leaving 60% of the position!
    When stepping back, the friends opened positions on the right side.
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    In fact, you can make money as long as you keep it short!
    I was able to support my family by trading stocks.
    Currently, the bottom of the pullback is yet to be confirmed until Friday. Pay attention to positions on the left. According to my own risk control, I stopped making a profit today and can't bear to sell. My position is too big and I will stop profit and reduce my position at any time: my target position is 3.5-70%. Currently, I hold mainly Tesla, Nvidia, IWM, Microsoft, Costco, Coin, IBIT, CRWD, U, SMIC, Meta, etc., and sector ETFs.
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    Currently, the position on the left is a bit big, but I can't bear to sell it. I've been watching for a day.
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    Stop Profit
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    Tesla is currently accepting questions about next week's second-quarter earnings call.
    Submit it here: app.saytechnologies.com/ tesla-2024-q2
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    Tesla is hiring more than 800 employees in the US, covering fields from construction and manufacturing to artificial intelligence and robotics. According to CNBC, about 14% of the company's employees, or about 19,600 employees, were previously laid off. Tesla also issued a recruitment freeze order at the time, and has removed thousands of job postings at least twice since the layoffs began. Now it looks like Tesla is ready for fresh blood. These new positions have slowly appeared on Tesla's careers page over the past few weeks.
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    Congratulations to our shorting friends for making 18 times more money!
    I could scavenge a little more!
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    James Douma, the tech goddess in the autonomous driving industry: Tesla's driverless taxis will be significantly different from other companies, and he will scale up quickly. If you have a system that's data safer than human drivers but isn't perfect, should you scale up the system quickly, or wait until it gets better?
    If you scale up quickly, although it will reduce the overall traffic accident rate, there will be more autonomous driving accidents, and your company's reputation may be affected. Until now, other driverless taxis have been deployed to avoid expanding when the system is imperfect to avoid public opposition.
    But that's not the right thing to do; the right thing to do is scale it up as soon as possible. This is exactly what Tesla is going to do, and they have said it and have shown it. Musk is very clear about this: Tesla will do the right thing, even if it causes them trouble. Once Tesla has solid statistics showing that unsupervised FSDs are safer than human drivers, they will scale up driverless taxis as soon as possible. This is no small moral dilemma. More than 1 million people die in traffic accidents every year, and 50 million people are seriously injured. Every day of delay in driverless taxi development, there will be thousands of deaths and injuries.
    Delaying early deployment may slow broader deployment, and hesitation about rolling it out will definitely slow wider deployment. We need to expand this technology, and actively expand it, not until it's perfect, but until it's good enough. Once it's good enough, it should expand right away because millions of lives are at stake...
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