For the past few days, I've been researching how much Openclaw's Lobster feature can actually help investors. I believe that once you start researching, you'll find a lot of misinformation surrounding Lobster. For example, having Lobster do quantitative trading to make money. In practice, you'll find it's a strategy game, and Lobster isn't very helpful. For example, having Lobster do Polymarket arbitrage. In practice, you'll find it's a speed game, and Lobster is completely unnecessary. Another example is having Lobster do daily news and information compilation. I found its effectiveness to be very limited; the large model's filtering of important information is inaccurate. However, on the other hand, there are hundreds, even thousands, of use cases for Lobster. From replying to emails to personal knowledge bases; from workflow scheduling to automated game development. If you're willing to experience them, you'll find that almost all of these use cases are useless. Especially for me, given my own IT infrastructure, I already have quite a few self-developed tools. Openclaw almost completely overhauled my system, and in many ways, it's not as convenient as my existing system. Therefore, some people exclaimed after playing: "Lobsters are useless for 99% of people." I don't want to give up now, I have an idea: Master Stock Selection: I'd have the lobsters memorize the investment methodologies of all the investment masters in human history. Then these lobsters would repeatedly scan the fundamentals, financial statements, and news of various stocks. They would then discuss and select three stocks each day. I wonder if anyone has created a similar skill. You're welcome to develop it with me. #Openclaw