When Jia Jia asked me this question earlier—if you had 1 million USDT, how would you allocate it? Given the current times, liquidity is still pretty average. If you’ve experienced the last bull market, you’d clearly feel this. Liquidity is concentrated on a few assets, and there’s none of that ‘hundred flowers blooming’ vibe. If you actually had 1 million USDT, the best choice would be to allocate 30-50% of your assets to something like $BTC/$ETH at around the $60K price range. Long-term, you can ride the Beta. For the remaining 15%, you could invest during the bear market in tokens from projects that generate revenue, conduct long-term buybacks, and are actively building. Then, 20-30% could be used on-chain or on exchanges for arbitrage or other strategies. As for how to find opportunities, there are tons of tutorials online. For coding, a Codex 20X + Claude 20X setup is more than enough to create a solid program. There are still plenty of opportunities in the market to farm yields, whether it’s funding rates, arbitrage, or providing liquidity as an LP. The returns are still pretty decent. If your principal is under $200K, doubling or tripling it in a year isn’t too hard. Many high-profit opportunities have small capacity limits (but don’t go for anything too dumb). Talk to AI more, follow some arbitrage-focused influencers, and don’t just sit around thinking. There are tons of opportunities in the market, and people are constantly sharing their results. If you’ve got a brain, you’ll start thinking about whether similar opportunities exist in other scenarios and how they might arise. Once you start actively looking for market opportunities, you’ll find countless ones. I have a friend who owns a studio and is worth tens of millions—he’s definitely not short on cash. Locally, we often hang out, eat, and relax. A few months ago, he went back to his hometown, bought a top-tier $50K computer, and tried to predict $BTC prices on Polymarket. He spent a few months on it, burning through tens of thousands on AI bills every month, only to fail in the end. You might think this is a failure story. But bro, that same friend makes millions a year just from IPO investments in Hong Kong stocks. If someone like him can spend two months at home using AI to build quant programs for prediction markets, and you’ve got way less money but are still lazy—what’s your excuse? Talk to AI more, use small amounts of capital to explore market opportunities. There are still some remaining advantages, even if the capacity is small. Final note: Don’t play with contracts! Don’t play with contracts! Don’t play with contracts!