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RarityHunter

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Active for: 0.3y
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Only target low-floor price, high rarity NFTs, and profit from statistics. No chasing trends, only trusting data.
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I’ve been looking at various restaking yield calculators lately. The numbers stack up nicely, but honestly, I’ll only trust the setup I run myself. EigenLayer’s whole model, put simply, is taking the security layer apart like LEGO and putting it back together. The returns are compounded, but so are the risks.
Everyone in the community is arguing about funding rates right now—whether there’ll be a reversal or more bleeding. Sentiment looks pretty extreme to me. Anyway, as someone who sweeps floors, I got used to it a long time ago—the better the data looks, the more cautious you have to be. Esp
EIGEN+6.50%
Gate has 61 million users now—this growth is truly impressive. Best of luck with the Noah plan, bro.🚀
YakuzaTheoryTrends
#OneGate见证计划
Let’s wish Gate continued success—it already has 61 million users, right! Keep it up; the market is recovering now too! This cycle, I should be able to achieve my own Noah, first making a 100% profit, then moving toward that successful destination on a 5-year cycle 🏁
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Consolidating around 0.68, bearish pressure remains. The bulls need to reclaim it quickly, otherwise a constructive structure is still a long way off.
CanDx
$ASTER is trading near $0.6826, down 3.25%.
Short-term pressure remains bearish. Bulls need to stabilize price and reclaim lost ground before the structure starts looking constructive again.
People think I make money on NFT analytics by earning the spread, spending all day staring at rarity rankings. In reality, a lot of the tricks are in on-chain data: who sees it first, how it gets ordered, and when it actually counts as finalized. Sometimes the floor price suddenly gets hammered—don’t rush in to pick up the pieces. First check whether that data was placed later in the ordering, or hasn’t been put on-chain at all. Before I sweep, I always check the block’s gas and ordering. What I’m worried about isn’t MEV itself, but that the information I’m seeing is something someone else has
Token burning directly ties platform activity to token deflation; no matter how large short-term burns are, whether trading volume can be sustained over the long term is more important.
Paxton
Hyperliquid’s $HYPE token burn highlights an interesting part of its token model.
Trading activity generates fees, and part of that value is used for $HYPE buybacks. The purchased tokens are then burned, reducing the amount in circulation.
So the model creates a direct link between platform activity and token supply.
More trading activity can mean more fees.
More fees can mean more buybacks.
More buybacks can mean fewer tokens in circulation.
The important part is whether this activity stays strong over time. That will tell us much more than a single large burn figure.
#Hyperliquid #HYPE #DeFi
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To be honest, stablecoin depegging events show warning signs in the data long beforehand; most people are just too lazy to examine the composition of the reserves. Liquidity pool depth, redemption fees, and large on-chain transfers are all more honest than any announcement. Once a bank-run mentality starts, on-chain data will reflect it before the price does. Anyway, whenever I see someone touting “absolute safety,” I check their addresses and audit reports; if I can’t find them, I assume there’s a risk. Recently, everyone has been talking about ETF fund flows and risk appetite in U.S. stocks,
A lot of people ask me whether they really need to understand things like builders and bundles. Honestly, retail traders don't need to study them that deeply. As long as you know there are bots on-chain competing to front-run and arbitrage, don't set your slippage too high for ordinary trades, and don't assume you're being targeted just because gas is a few dollars higher, that's enough. Isn't watching the mempool all day exhausting? I'm not trying to compete for first-mover gains anyway.
Lately, Layer2 projects have been competing over TPS and fees again. It looks lively, but it doesn't have
A little after 3 a.m., I was messing around with address tags for those sweep-the-floor price NFT projects. Honestly, the “smart money” labels on-chain increasingly feel like just a reference—something you can’t truly trust.
Look at some addresses: they’re clearly tagged as “giant whales” or “early investors,” but when you check their interaction history, it’s all about repeatedly刷-ing against a few new projects. Or they have ties with a bunch of known “mouse-trap” (insider) addresses. In that kind of profile, how accurate is it, really? To put it plainly, the tagging system can only reflect t
RATS-7.28%
I’m not very good at forcing a causal link between macro data and NFT floor prices, but after seeing discussions lately about stablecoin supply and ETF inflows, it feels like a lot of people are drawing arrows again. When stablecoin supply increases and ETFs are seeing net inflows every day, then people start shouting, “Capital is flowing back to NFTs.” Honestly, there are several layers of transmission between the two. OTC capital is entering BTC/ETH, and between that and the liquidity of blue-chip NFTs there’s still a “sentiment switch”—and right now that switch is tightly wound shut by roya
BTC+0.76%
ETH+0.90%