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@tarunchitra Avatar @tarunchitra Tarun Chitra

Tarun Chitra posts on X about debt, balance sheet, binance, hyperliquid the most. They currently have XXXXXX followers and XX posts still getting attention that total XXXXXXX engagements in the last XX hours.

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Social Influence

Social category influence exchanges #264 finance #2607 technology brands XXXX% cryptocurrencies XXXX%

Social topic influence debt #1184, balance sheet #1215, binance #50, hyperliquid #36, 10x 6.67%, exchanges 6.67%, what about 6.67%, $653m 6.67%, $23m 6.67%, 23m XXXX%

Top accounts mentioned or mentioned by @hyperliquidx @shuri2060_defi @freecitywarlock @zacxbt @jlldavies @velmeshev @hishboy @coinbasedev @cryptohayes @binance @paradex @bitmex @dexovercex @maxdothl @lothaen @zyrorivex @haydenzadams @haoskionchain @omyzmo @danrobinson

Top assets mentioned Numeraire (NMR)

Top Social Posts

Top posts by engagements in the last XX hours

"Moreover we backtest a number of these strategies against the real data from @HyperliquidX on 10/10 and show that virtually all of these algorithms would have $"
X Link 2025-12-09T17:58Z 78K followers, 2666 engagements

"We also show that these algorithms outperform on fairness and revenue The trilemma implies that they have to trade-off solvency for this(e.g. the exchange has to hold some bad debt on its balance sheet) But the magnitude of loss is 10x smaller with optimized ADL algorithms"
X Link 2025-12-09T17:58Z 78K followers, 2651 engagements

"What about central clearing This is where the exchange holds the bad debt on their balance sheet. It has the positive of not liquidating your best customers so revenue is preserved. But it is fundamentally not : as the exchange grows its ability to successfully preserves solvency decays @cryptohayes documents that exchanges doing this faced an enormous amount of adverse selection and and blew up"
X Link 2025-12-09T17:57Z 78K followers, 2890 engagements

"As another large HYPE holder accused me yesterday: "show me the tweet/paper and I'll show you the bags" There are a few things here that are worth pointing out despite everyone FUDing not reading the paper and making conclusions based on the post (skill issue illiteracy)"
X Link 2025-12-11T05:16Z 78K followers, 98K engagements

"Drift's implementation of pro-rata is public should you want to go into minutiae without making blanket statements about why equity weighting is wrong (w/o proposing why position size is better especially in fairness terms)"
X Link 2025-12-11T05:16Z 78K followers, 11.2K engagements

"👀 I wonder if this means the X or so proximity gap papers will have Lean proofs by the end of the year as well"
X Link 2025-12-05T14:16Z 78K followers, 5570 engagements

"Did @HyperliquidX autodeleverage (ADL) $650m of PNL that it didnt have to Was this 28x more than the minimal necessary Did almost every exchange (incl. @binance) copy-pasta a Huobi heuristic from 2015 Can we do better in 2026 (+ a new paper)"
X Link 2025-12-09T17:56Z 78K followers, 258.9K engagements

"Also by the way pro-rata (which @paradex calls socialized loss) is actually an ADL algorithm despite what you might read This becomes clear once you see it via the lens of water-filling algorithms its just one that makes different trade-offs than Queue"
X Link 2025-12-09T17:57Z 78K followers, 4145 engagements

"We show that one can construct an infinite set of easy to compute risk-aware strategies that non-uniformly haircut winners (see below) and both theoretically and practically outperform Queue and Pro-Rata in terms of solvency fairness and revenue"
X Link 2025-12-09T17:57Z 78K followers, 2709 engagements

"1) Youve written more to describe this case than what the Hyperliquid documentation which is case in point about how having to interpret what ADL is actually executed (in numeraire terms or not) is a flaw of the system 2) I agree that if there are two queues (one for seizing positions / PNL and one for executing/crossing as you describe) that interact with each other then you have to include that in the accounting. But there is no documentation explicitly saying that and no code showing you how that would happen; so the paper only focuses on the closures as thats what you can verify from"
X Link 2025-12-11T07:10Z 78K followers, 2832 engagements

"Three rules: Sybil resistant is the most important one (and Queue is not Sybil resistant; thats fine for binance since they have identity not for hyperliquid) The other part you seem to miss is that Queue is fine in isolation (if you look at most single events it is fine). But there is compounding of loss when ADL is repeatedly used versus with pro-rata (or any more distributive method) The Queue haircuts are of the form (1 X c X 0) whereas pro-rata is c * (1 1). Iterating the loss measurement (e.g. the value of overshoot conditional on a haircut vector) on the first vector is inherently"
X Link 2025-12-11T08:00Z 78K followers, 3125 engagements

"Yeah thats fair; it still has a gap to pro rata though and a rounding error since the contract vector c is fixed and integral. The two algorithms are approximately equal if c_i is flat / approximately constant. This entire conversation is proving the point that the lack of real documentation and open source code makes this system impossible to trust fully if I cant even reason about the gap to pro-rata. The gap controls whether there is any compounding of the deficit on multiple ADL events"
X Link 2025-12-11T12:33Z 78K followers, 2468 engagements