HyperTracker

Total open positions are almost at record highs. Hyperliquid

@sershokunin 👀

finalizing design on one of the most important products XYZ will ever launch..

@lookonchain Yeah... that didn't work out too well. It's been a rough 24 hours for 0x999b. app.coinmarketman.com/hypertracker/w…

As we expected, gambler 0x999b's 25x leveraged short on 5,758 xyz:GOLD($25.41M) was partially liquidated. He has now closed his #gold short entirely, taking a total loss of $434K. app.hyperliquid.xyz/tradeHistory/0… x.com/lookonchain/st…

@lookonchain Long oil, short bitcoin? That's a pretty elite pair trade. app.coinmarketman.com/hypertracker/w…

The "Sold 255 $BTC to short" whale opened a 40x short on 1,000 $BTC($70.7M) and a 20x long on 202,155 xyz:BRENTOIL($19.25M) — both are now in the red. He was once up $25.16M, but is now down $33.39M. #perps" target="_blank" rel="nofollow noopener">hypurrscan.io/address/0x94d3…

"Dumb money" is bearish. "Smart money" is also bearish. app.coinmarketman.com/hypertracker

@TedPillows There were signs. Smart money traders have been bearish. app.coinmarketman.com/hypertracker/s…

Binance whales are aggressively dumping $BTC today. Every exchange is a net seller.

@DrDavidSimic This is really cool analysis. If you need more data, we got you covered: docs.coinmarketman.com

When doing market making or cross exchange arb in crypto we discussed some of the issues of computing fair price from multiple geo-distributed data feeds. Your quotes will arrive asynchronously from Binance, Bybit, Coinbase and so on, and each will be an indirect measure of fair price. For example, how do you weigh the Binance and Bybit quotes that came in 35ms and 75ms ago against that Coinbase quote that came in 15ms ago? What about when the ordering is reversed? Each exchange has a different level of liquidity, error, and basis, so even if the quotes were all equally fresh, there'd still be some decisions to be made. But latency adds an additional layer of complexity. One mental model for this is ruler theory. Imagine trying to combine the measurements of a bunch of different rulers, each with their own bias (μ) and error (σ), into one optimal measurement. Bias means a particular ruler is on average off from the truth by a consistent amount. Error means there is a random fluctuation by how much it is off from this average amount, sometimes a lot, sometimes a little, but usually within one stdev around the truth. In physics, the way to weight each measurement is via precision weighting where each ruler is weighted by its inverse variance: ~ 1/σ² A quote from a particular exchange is like a ruler measurement of fair price in that it too has its own bias and error. The dominant part of bias is easy to measure, it is just basis, and a good start is to compute a rolling mean. Error is a bit more complex. It will depend on liquidity, spread, volatility ... and time elapsed. BTC-USDT on Binance is expected to be a less errorful measurement of BTC than the same instrument on say, Kucoin. But BTC-USDT on Binance 1 second ago is expected to be more errorful than BTC-USDT on Kucoin 10ms ago. So there is an innate component to error and a time component. Total error squared will look something like this: error² ≈ ε²_exchange + σ_price²·τ where τ is the amount of time that has elapsed from when the quote was emitted to when you registered it, and ε²_exchange is the error unique to that instrument on that exchange (and at that particular point in time). For the time dependence, the assumption here is Gaussian diffusion, which is a defensible first order approximation when you are not near a significant liquidity event. So errors have a component that grows at a speed proportional to variance, creating a kind of uncertainty cone as they propagate forward in time. This tells you roughly how to weigh different quotes from different exchanges arriving at different times. Below are plots from two models built on this intuition. Both are measurably better than just using the Binance mid-quote, and in production, more robust against feed glitches on any single exchange. We'll discuss in more detail some concrete models that incorporate this intuition, and some that work surprisingly well while ignoring parts of it, in a subsequent post.

@lookonchain This short is not off to a good start. They're 22% to liquidation as of now. app.coinmarketman.com/hypertracker/w…

This is insane! Gambler 0x999b opened a 25x short on #gold 1 hour ago, with a position of 5,758 xyz:GOLD($25.41M). Liquidation price: $4,486.5.

@Crypto_McKenna "Hyperliquid." And we have all that data waiting for you here: docs.coinmarketman.com

New all time high for HIP-3 daily volume at $5.93Bn executed. HIP-3 markets are now doing 46% of the total volume on Hyperliquid and account for 22.67% of the open interest. Exceeding every expectation I had and equally if we really do see huge growth in the adoption of perpetual contracts for traditional assets then this volume is a drop in the ocean. $HYPE

@Yaugourt This is really cool stuff... thanks for sharing.

Yesterday I posted about HIP4 being the first HIP to use HyperEVM. Full research → liquidterminal.xyz/hip4/home HIP4 has no official documentation. No verified source. No ABI. So we reverse-engineered the contract from bytecode and calldata on testnet. What we mapped: → Full reconstructed ABI (selectors, signatures, access control) → Every event (DepositReceived, Claimed, ContestCreated, ContestFinalized, MerkleRootPublished) → All revert strings mined from bytecode → Storage layout (owner, mappings, initialization flags) → Complete contest lifecycle: createContest → deposit → publishMerkleRoot → claim → sweepUnclaimed → Bridge architecture L1↔EVM (asset index formula, outcome token mapping) → Real decoded testnet transactions → JS + Python code examples Some findings: - Pre-deployed at genesis, not a standard deployment - renounceOwnership always reverts, admin is permanent by design - Merkle-based claims, 0.9% platform fee on reward pool - Three market types: custom, priceBinary, recurring liquidterminal.xyz/hip4/home Testnet only. This is v1, early test from the team, raw design, and some things might be off. Nothing is final. If you spot errors or have insights, feedback is very much appreciated. Hyperliquid.

@TedPillows They're only 5% to liquidation for now. Here's their wallet address: app.coinmarketman.com/hypertracker/w…

A whale has opened a $46,256,000 $BTC short with 40x leverage. Liquidation Price: $71,713

@lookonchain That's a brutal roundtrip. Here's a cleaner look: app.coinmarketman.com/hypertracker/w…

Gambler 0xedf2 is close to liquidation on a 40x short of 650 $BTC($46.31M). Liquidation price: $71,712.33. #perps" target="_blank" rel="nofollow noopener">hypurrscan.io/address/0xedf2…

Market Radar on @HyperTracker coming soon see liquidations, take profits, limit orders and more mapped in real time + filter by cohort 👀

@murda0x @HighStakesCap That's a lot of selling. Here's a cleaner view: app.coinmarketman.com/hypertracker/w…

15 minutes ago @HighStakesCap sold 200K HYPE (~$7.6M) in 5 minutes at an average price of $38.2. Earlier, 3 hours ago, he sold another 100K HYPE (~$3.8M) at $38. #txs" target="_blank" rel="nofollow noopener">hypurrscan.io/address/0x82d8… He isn’t selling via market orders - instead, he’s placing huge limit walls in the orderbook. At the moment he still holds 302K HYPE (~$11.5M). His current profit on HYPE on this wallet is around $12M (+107%) at an average entry of $18.4, with about half of it already realized. These are his first HYPE sales in the last 5 months.

If oil drops, lots of traders will be in pain. app.coinmarketman.com/hypertracker/p…

@TedPillows He's lost almost $29 million overall. Here's a clean look at his trading history: app.coinmarketman.com/hypertracker/w…

Machi Big Brother got partially liquidated on his long again today. He has now lost $74,000,000 in just 6 months.

@0xNairolf We're just here to read the replies.

a full crypto neobank on top of hyperliquid who is building that?

@MMT_Official_ 👀

We didn’t add another indicator. We gave every trader their own personal analyst! Meet Companion: an AI agent inside your charts. Scan the market. Find setups. Build indicators. In seconds. This is what trading looks like in 2026.

@lookonchain Down $3.7 million in 6 hours is painful. Here's a cleaner view of this trader: app.coinmarketman.com/hypertracker/w…

Due to the drop in #oil prices, trader 0xF35A, who opened a 5x long on 189,904 xyz:BRENTOIL ($20.19M) 4 days ago, has been fully liquidated, taking a loss of ~$3.21M. legacy.hyperdash.com/trader/0xF35AA… x.com/lookonchain/st…

@0xMariussi +$15.8m just Perps +$18.2m across both, spot included 704 day wallet age

@HyperTracker What's the net PnL since inception? The chart shape matters less than the curve over 12+ months.

$7.61M at 20x on GOLD. Liquidation at $1,583.12. One move against this position and it's gone. Someone is betting hard on gold continuation. The leverage says they need it fast. ⚡📉 #perps" target="_blank" rel="nofollow noopener">hypurrscan.io/address/0x9e8b…

@smartestmoney HyperTracker charts spotted.

ACTIVE PERP TRADERS DISCOVERY Real liquidity brings real traders which brings more real liquidity. Hyperliquid.