Artist1

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🤖 I just ran a deep risk analysis on Polymarket Alpha.
🎯 Target: Market Analysis...
📊 Model Prob: 64%
🧠 Confidence: 75%
Generate your own Alpha report here: blob:
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The project began preliminary research in June this year, and in September, investors were brought in. In November, the team was formed: one with a master's degree from Tsinghua, two from Shanghai Jiao Tong University, with high school entrance exam rankings either as regional top scorers or in the top 50 of the province. Currently, the first version of the strategy has been evaluated by the expert team; making money is not an issue, but the ROI has not met expectations. We are now working on advanced directions. In terms of intelligence, I believe the team is sufficient; the rest is just wait
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Large Investors in the crypto world have a serious mismatch between social resources and their own capital. If you have a billion in traditional industries, the city party secretary would be your honored guest.
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Do it first and learn how to do it later; just preparing all the time will only lead to missed opportunities and ultimately end in nothing.
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Arbitrage quantitative trading helps eliminate inefficiencies from the market, bringing prices back to reasonable levels, essentially neutralizing the noise. Overcrowded trading can create new noise. If the market consists entirely of quantitative trading without retail investors, I believe prices will converge infinitely towards an efficient market.
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From the very beginning of its product design, Hyperliquid has exchanged internal market maker profits for user numbers and trading volume. This is a strategic-level flywheel design, with its sub-features also built around creating a self-sustaining positive flywheel system. This is something that no CEX can achieve; you can't expect the exchange owner and internal market making head to give up the profits already in their hands. This is a systemic victory for users, who vote with their feet.
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Here's a little story about Sun Ge. When Sun Ge was working on the "Accompany Me" app, he was quite resourceful. When leaders came to inspect his small company of 20 people, he specifically spent money to rent a luxurious office for a day, just to showcase their strength. Sun Ge really put a lot of effort into appearances. Also, they didn't have any users at the time, but the platform relied on ML to generate a monthly revenue of 30 million.
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Used 3 to generate a Monte Carlo business simulation. Tomorrow I’ll have to show off to my Tsinghua undergrad and grad intern.
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1011 can be said to have killed the foundation of the bull run. One cannot admit to being wrong, and admitting it would lead to losses that cannot be afforded. This round is a bit difficult without newcomers. Mainly, as an observer, I feel somewhat pessimistic about the entire market, not to mention that the man looking at the world from the top of the tower also said this year is tough.
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Is it possible that bosses like Sun Ge don't see themselves as exploiting others? Maybe they also feel helpless. The reason you bought at a loss and it didn't go up is not because others didn't buy, but because you didn't properly encourage others to buy in. They also want you to make money, but maybe you just don't have the luck. This project might reach an all-time high in the future and hit new highs, but perhaps you're not on the train. However, the boss feels that he doesn't owe you anything. If you're not on the train, you can't blame him; you can only blame yourself.
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Late at night, feeling hungry, I headed straight to the night market. There's not much to say about the chicken wings, mainly about the dipping sauce. It has a very distinctive Southeast Asian sour and spicy flavor, with the sourness coming entirely from lime, paired with sugar-free Thai chili sauce. This shop is recommended by Nicholas Tse in Newton, and Gordon Ramsay has also visited. I give it a 4-star rating.
After finishing the night market chicken wings, I still felt like I wanted more, so I went to the durian stall in Geylang, also highly recommended. However, I didn't expect a single
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As a Beijing resident and a small shareholder of McDonald's, I have a duty to oversee the reputation and taste of Beijing-famous McDonald's overseas. I specifically paid to buy a bunch of McNuggets with dipping sauce. When I go back to Beijing to play cards, I can share them with my friends.
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On the first day in SG, I was knocked out by the air conditioning 🥲
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Hiring
Responsible for quantitative factor mining.
Proficient in using Python and AI development tools
Statistics, Mathematics, Financial Engineering Background
Salary open
Full-time in Beijing, can WFH
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I feel like I'm finding an Algorithm in a 100-step inverted pendulum 🥹
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Everyone is Okay 👌$okay
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Since the project was initiated at the end of June, I have been conducting research on retail investor losses. After experiencing many failures in between, I started over. From building the database to cleaning 420 million transaction records from 230,000 independent addresses of hyper liquid from 0525 to 0724 over a period of 60 days.
This is a trading behavior report for non-institutional, high-frequency users.
It confirms how retail investors lose and where they lose.
Thanks to the seniors, big shots, and friends who have helped me.
HYPER1,52%
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I was really looking forward to GPT-5, and for the past month, I've been vibe coding. I've found that GPT-5's programming capabilities are much worse than Clude-4. If it's about programming, I should still continue to use Sonnet.
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