In less than a month, this OpenClaw has rolled out four hundred thousand dollars on #Polymarket. It is said that it now averages five dollars per second, three hundred dollars per hour, and over seven thousand dollars a day. When I saw these numbers, my first reaction was, this machine is really good at making money. His account homepage: For friends who want to follow along, here is the copy trading link: The most amazing part is that @Polymarket later eliminated the 500 milliseconds delay, and it was still able to run steadily. The strategy is actually very simple, just betting on the rise and fall of Bitcoin for five minutes. In the first four minutes, buy both YES and NO at the same time, and once the two prices add up to less than one dollar, immediately enter the market to lock in the price difference. So far, it has executed 6,823 times. There is no directional betting at all, just pure arbitrage structure. It repeatedly harvests those small pricing discrepancies in the market; the larger the capital, the bigger the appetite. Once compound interest starts rolling, the growth rate is eye-popping. In the end, this is neither about predicting the market nor following any news; it’s just letting the machine exploit pricing loopholes. However, it must be said that this kind of advantage never lasts long. Once there are too many people, the gaps quickly get squeezed out. If you really want to get involved, you still need to carefully calculate details like liquidity and costs; don’t just get carried away by seeing others make a lot.

He threw out that arbitrage script, and with it, turned $200 into $150,000 in a month. His account homepage: Speaking of which, he only spent one night setting up the script. It’s not some profound tool for predicting market trends; it purely exploits structural loopholes in the market. He focuses on the 5-minute order books for Bitcoin and Ethereum. As long as the combined price of YES and NO is less than a dollar, the price difference is exposed. The script instantly pounces on it, gobbling up that little gap clean. No need to guess the rise and fall, no need to listen to stories, no need to stay up late refreshing news. Copy trading, just click here: While others are still hesitating whether to take action, he has already smashed the order in. Each trade only earns a tiny bit, but it adds up with hundreds or even thousands of repetitions. Once compound interest starts rolling, it’s like a snowball rolling down a hill; no one can stop it. Looking at his account, I actually feel a bit uneasy—can manual trading still keep up these days? Perhaps we really have to admit that some money is no longer made by thinking but is instead snatched up by machines first.

Three weeks ago, a data analyst from a Ligue 1 team in Paris suddenly packed up and left. The official reason given was a violation of internal data policies. But what really cost him his job was the owner passing by his desk with a coffee during lunch and inadvertently catching a glimpse of a browser tab still open on his computer— #Polymarket It clearly showed that he had heavily bet $2.4 million on Rennes to win. This guy had been working in the analytics department for two years. Every day, he dealt with various models, player fitness data, tactical formations, and real-time injury information that the public couldn't access before the games. What he saw was far beyond the imagination of an ordinary person. His wallet address was called majorexploiter, showing no intention of hiding it at all. His account homepage: On February 28, Rennes' match had odds of 49 cents on the market. To outsiders, this match was just a coin toss. But he directly bet $2.4 million. As a result, Rennes won, and he netted $1.24 million, with a return rate exceeding 100%. On the same day, he also played a bit on Liverpool's match, betting $31,000 at 69 cents, and easily pocketed nearly $10,000. The next day, March 1, was the real big scene. He placed a whopping $6.9 million on Arsenal to win at 65.2 cents. Nearly seven million dollars were riding on a single Premier League match. Later, colleagues said they noticed that tab because the number was so large, it looked like a phone number. Arsenal won, and he made back $2.4 million. He hit all three bets, with a total profit of over $3.66 million, and his account was clean, leaving no trace behind. The club's legal department panicked on the spot. They didn't care about @Polymarket; what really made them uneasy was the thought that if regulators found out that an employee with access to the team's confidential data made over $3 million from this information, it was a terrifying scenario. They confronted him directly: you used our models, our systems, and our collected injury data, and ended up betting on other teams' matches? Thus, the analyst was fired. No severance pay, and he signed a confidentiality agreement. Now his LinkedIn quietly lists his position as "Independent Consultant." And that wallet has been completely silent since March 1, with no transactions made. However, there's one question I've always found strange: where did an ordinary data analyst get $9.4 million in capital to make such reckless bets? The answer is quite simple. That account received a huge deposit just three days before the first trade. A one-time deposit; someone provided him with the ammunition. Three precise operations earned him over $3.6 million, then he vanished into thin air. Speaking of which, the market has never cared about morality. It only rewards those who hold real information.