$S Is leading the pack over the last 7D. Is the trend starting to shift?

Work hard. Be kind. Stay curious. Pull it together with consistency. That’s a winning formula.

We’re so back. I was writing a post on how you can use @HeyAnonai on Hyperliquid to help plan a trade. $S was my example, and it pumped before I even finished writing. Trading assistance and automation is a huge area for DeFAI to tap into. For example, Hyperliquid is pushing $100M in monthly fees and recently hit ATH volumes of $29B daily. We are still early in seeing this potential unlocked, which means big opportunity. With the HUD you get a referral code that aggregates across platforms, letting you earn from every user you onboard wherever they trade. Position yourself now, before the tech gets too good for people not to notice. Guide below.

Pulling off one of the biggest max extraction events of the year, then following it up with a ChatGPT copy paste ‘community’ post, is nasty work

Buyback szn. Over the last 30 days, those conducting significant buybacks have held up best against BTC. Top 5: Syrup, Ethfi, Kaito, Hype, Aave. Hyperliquid leads in buyback size by far, with $104M bought during this period.

Previously I showed how to spot a scam with @HeyAnonai. But how do we look at a healthier ticker? By using key data, we can derive areas of interest for entries and exits. Technical analysis on low caps in the trenches is awkward, a few wallets can move charts massively, and some are manipulated to extremes. By visualising the behaviour of top players, we can uncover more reliable areas of interest. In the video below, the chart is in a downtrend and some of the top 50 wallets have been exiting. So where could we watch for stabilisation? By looking at their cost basis. The first area lines up with support created from the run up. Here, new KOL buyers (green) had an average entry but haven’t sold, and the top 26–50 wallets (purple) share a cost basis. This gives us a good zone to monitor. Will buyers step back in to accumulate, or will sellers continue to win? The second area of interest is where the biggest wallets, the top 25, have their cost basis. Same logic applies. Is this guaranteed to give you the perfect entry? No. But they are strong data points to help identify areas worth watching. Stack up multiple data points, and you move from gambling to making educated bets. If you want to try it out, its free and I linked a quick start guide below. Use my code: ANON_lzWmpOwn

One of the best ways to burnout: Obsessing over engagement and forcing yourself to do things you don’t actually care about to achieve it. If you want to last long term, you need to enjoy the process. Besides, if you don’t care, why would anyone else?

At some point you will get rugged. If you’re exploring new tickers or experimenting with new DeFi protocols, you’ll see it happen eventually. It’s part of the game, but never put yourself in a position where it can wipe you out.

Previously I highlighted @Main_St_Finance and their synthetic yield bearing dollar on @SonicLabs. Standalone it’s yielding 25% APY right now. With looping on @SiloFinance, this can be pushed higher depending on risk tolerance (see table below). They also have a points program for their airdrop, plus Silo points and 10x Sonic points multiplier, which also get looped. Drawbacks to this: > Usual stablecoin/protocol risks > New market with low liquidity, better for smaller size > smsUSD has a 7 day unstake cooldown Yield fluctuates, but borrow can hit 18% at 100% utilization. Looping remains profitable if the smsUSD yield stays above this. Do your own research and take time to understand what’s happening if you check this out.

Pay attention and you’ll notice AI is increasingly blending with DeFi. Automated farming strategies for yield and airdrops is an increasingly popular area right now. @Infinit_Labs just released their initial public beta for such strategies. Their goal is to build an economy where anyone can create, monetize, and earn while giving users simple access to strategies that were once out of reach. There's also a wide ecosystem of projects developing automated strategies, some others worth exploring: > @HeyAnonai > @Almanak__ > @gizatechxyz Time to get accustomed to these tools. The future is here.