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Samples - 彼得林奇
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Beispiel 1
Think about your investment timeline. If you're saving for retirement, that's 20 years, 30 years away, stocks make sense. But if you're buying a house next year, next two years, keep that money in something safer. The timeline determines your strategy.
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In this digital-dominated world, Let's talk about a special participant: AI quantitative trading. This is not just a story about algorithms and data, but also an exploration of wisdom and the future. Simply put, it is to let computer programs make stock trading decisions, just like replacing traditional stock traders with a giant brain. The historical development trajectory of robots is from simple algorithms to complex machine learning models.
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AI quantitative trading not only changes the rules of the financial market, but also redefines our understanding of intelligence and the future. This understanding prompts us to think about what our world will look like when machines can think like humans. This is not just a technical issue, but also a philosophical issue. Add me on WhatsApp to get it. Next time we will talk about the role of AI quantitative trading in the stock market.
Sample Transcriptions
Default Sample - Beispiel 1
Think about your investment timeline. If you're saving for retirement, that's 20 years, 30 years away, stocks make sense. But if you're buying a house next year, next two years, keep that money in something safer. The timeline determines your strategy.
Default Sample - 彼得·林奇
In this digital-dominated world, Let's talk about a special participant: AI quantitative trading. This is not just a story about algorithms and data, but also an exploration of wisdom and the future. Simply put, it is to let computer programs make stock trading decisions, just like replacing traditional stock traders with a giant brain. The historical development trajectory of robots is from simple algorithms to complex machine learning models.
Default Sample - 彼得·林奇
AI quantitative trading not only changes the rules of the financial market, but also redefines our understanding of intelligence and the future. This understanding prompts us to think about what our world will look like when machines can think like humans. This is not just a technical issue, but also a philosophical issue. Add me on WhatsApp to get it. Next time we will talk about the role of AI quantitative trading in the stock market.
Default Sample - 彼得·林奇（Peter Lynch）
Think about your investment timeline. Are you investing for one year? Are you investing for five years? Are you investing for ten years? The stock market has historically rewarded long-term investors, but if you need the money next year, you shouldn't be in stocks.
Default Sample - 彼得塔奇曼
You know, looking at the market today, it's kind of fascinating how we're seeing this rotation out of tech stocks. Last week, you know, we saw the Nasdaq pull back quite severely, and some of these names, these growth stocks, they're really getting hit hard. It's sort of interesting to watch this play out.
樣品 - 彼得潘
我发现成功的关键不在于追求完美，而在于发挥优势。就像运动员要专注于自己擅长的项目一样，经营者也要懂得利用自身特长。与其费力补短，不如把精力投入到能发光发热的领域，这才是明智的选择。
Default Sample - 林奇林奇
哼，你的实力确实出乎我的意料，但还远远不够。真正的天赋领域，不仅仅是力量的体现，更是灵魂的升华。让我来告诉你，
Default Sample - 彼得
I've been looking at this young analyst, brilliant mind, been watching his progress for about 18 months now. And I've told him, look, you've got exceptional talent for spotting value in the market. Now's the perfect time to put that knowledge to work.
Default Sample - 彼得
Look at the tax system we have now. It's absolutely crushing small businesses. I mean, when you've got entrepreneurs spending more time dealing with paperwork than actually running their business, that's very, very damaging to our economy. We need to free these people up.
彼得·塔奇曼 - 彼得·塔奇曼
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Default Sample - 贝基林奇
You know, when I, I first started in NXT, I wasn't sure how things would work out. I mean, I knew I loved wrestling, but it's, it's different when you're actually there. And the women's division was changing, and I wanted to be part of that change.
Default Sample - 彼得
You know, looking at the market conditions right now, it's kind of interesting because we're seeing, sort of, mixed signals from the consumer sector. Some retailers are showing strong numbers, but I'm not sure if it's sustainable yet. The data seems a bit fragile.
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