Igor

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Igor

Igor

@justigor

Building @functionSPACEHQ | allergic to binary opinions

Katılım Ocak 2023
560 Takip Edilen140 Takipçiler
Igor
Igor@justigor·
8/ Anyway, the maths says Mbappe at 31 is a few points cheap and Messi at 57 a few points rich. Most of the money here is prolly betting on who scores more. But 1/3 of the outcomes come down to whether 1 assist of a lead survives two more games, the market calls that a coin flip when it looks closer to two to one. NOT FINANCIAL ADVICE, DYOR, ETC ETC p.s this might all be moot and Kane just goes on a tear the next two games 😂
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Igor
Igor@justigor·
7/ The third place game is 53% to be France vs Argentina. If Argentina lose, the Golden Boot gets settled with both of them on the same pitch, in the same game, one goal apart on the all-time record. Will that somehow end up the biggest shootout of the tournament?
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Igor
Igor@justigor·
🤔Is this the most interesting market remaining in the World Cup? I went down a rabbit hole.🧵 So, Messi and Mbappe are both on 8 goals. The Golden Boot on Polymarket has Messi ~57%, Mbappe ~32%. The market resolves by FIFA rules, so a tie on goals goes to assists, then fewest minutes, then to rando Polymarket rules fewest penalties, then alphabetical order. Mbappe leads assists 3-2, so he's top today on the same goal count. Messi has played fewer minutes, 608 to 666, but remember, has an extra game. Messi has zero penalties to Mbappe's 1. If absolutely everything ties, M-b beats M-e in the alphabet. The lead changes multiple times depending how far down the rules you go. #yVd1Jpiw" target="_blank" rel="nofollow noopener">polymarket.com/event/world-cu…
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Enenche
Enenche@willy_wonka_28·
france 💔
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dilemma
dilemma@actuallyimthe·
Argentina just beat Spain at the 2026 World Cup final, 3-2.
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Igor
Igor@justigor·
@Baheet_ If AI does it , is it still a “job”? What we think of as jobs always seem to be invariants and the a bit of tech comes and changes that, maybe this one will be more disruptive sure
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Igor
Igor@justigor·
@philtsa “When” is such a tough area for balancing market efficiency with accuracy, very cool idea to tackle this directly in a venue
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PhilTsa
PhilTsa@philtsa·
Most prediction markets ask what will happen. Rocket Markets asks when. Closed beta is now live with our first market: Elon Musk’s next tweet. Your position earns while Elon stays silent. Exit before he tweets and keep the profit. Stay too long and lose it. Next, we’ll expand this mechanic to news, sports, crypto, politics and any event where timing matters. Predict when, not if.
Rocket Markets@rocketmarketsfi

Rocket Markets closed beta is live The first users are in A new prediction market primitive is now being tested: time-based markets yield while waiting real-world triggers crash-game tension Thank you to everyone who believed before the doors opened Now it’s time to make some noise

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Igor
Igor@justigor·
@lzminsky would a tradeable curve be useful here if it was on-chain? we don't need to replace futures, but we can make exposure more accessible?
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Lauris
Lauris@lzminsky·
I was very wrong Kalshi got to a compute curve in almost the reverse order I expected. The dated futures contracts everyone announced are still waiting to trade, but the yes-or-no GPU markets are already producing a term structure. Take B200. Kalshi lists a bunch of strikes asking where hourly rental prices will finish. Put those prices together and you can back out a rough distribution; repeat it across dates and you have a curve. This is basically the Arrow-Debreu point: the difference between 2 nearby thresholds prices the outcomes between them. I gave binaries too narrow a role in the piece below. The funny part is that the curve itself is not tradable. Kalshi says it can be used as a reference for swaps and OTC compute deals, which is much closer to how I think this market will work. The binary book gives the desk a public number to quote around.
Lauris@lzminsky

By no means am I an expert in compute markets, but was inspired to develop a take by both Brett and @0xfishylosopher Compute keeps getting scored against the commodity formation checklist and keeps failing the same two boxes, standardized delivery and time plus location pricing. Fair enough as history. Grain, oil and electricity all needed those things because their markets terminated in a dated futures contract, and a dated contract has to bridge into the physical world somehow. But new markets stopped terminating there. Perps collapsed the term structure into a funding rate and swapped the delivery bridge for an oracle print. Hyperliquid became the deepest novel derivatives venue of the cycle on underlyings it never delivers. AX clears over a billion a month in perps on traditional assets and already lists GPU-hour contracts. The catch is that the perp stuffs the whole thing into the benchmark. A funding rate needs an anchor, and for compute the anchor is the entire fight. Compute varies by SKU, location, tenor and counterparty. No index can carry all four, so every index picks what to keep and drops the rest. The three racing to list made three different cuts: on-demand rental rates, printed transactions only, energy normalized. One of these is the LIBOR to SOFR argument, real prints over posted quotes, being made at the birth of a benchmark instead of after a scandal. Whatever an index drops has to go somewhere, and it goes onto dealer balance sheets. Which is why this market is forming dealer first, exchange second. The cleared contract ends up as the hedge leg for the OTC book, and price discovery moves into the spread between indices. Oil did this with WTI-Brent, gas did it with JKM-TTF. When no benchmark is complete, the basis between imperfect ones carries the information. That still leaves the part neither a funding rate nor a basis trade can touch: jumps. An export control ruling, a Rubin slip, an interconnection queue decision, a hyperscaler capex cut. The whole surface moves at once and resolves as an event, not drift. The instrument for that slice is a binary, and the first compute price markets settling on printed transaction data went live in May on @Kalshi. For a dealer warehousing SKU basis that’s the right shape, you lay off the timing and keep the size. Perp for the level, index menu for the shape, dealers for the residual, binaries for the jumps. All four layers are live today. Historical path-dependencies may not be a precise source of truth here.

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Igor
Igor@justigor·
👀 True on-chain trading get a pathway to trust boost through the SEC? Haters gonna hate, but this is the sort of stuff that provides legitimacy
Aggr News@AggrNews

HYPERLIQUID POLICY CENTER AND TRADE.XYZ MET WITH SEC'S CRYPTO TASK FORCE TO ADDRESS CRYPTO REGULATION: WEBSITE

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good
good@thenarrator·
a lot of people working on frontier markets around prediction markets, perps and AI still experimenting but almost that time
good tweet media
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Igor
Igor@justigor·
@buntyverse My uber driver asked if I should reimburse people who lost money on bitcoin because I work FOR CRYPTO
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Kunal
Kunal@buntyverse·
Went to AI meetup recently, and realized folks almost look down upon crypto at this point People I know who were at some point "building" something, now clearly don't want any association with web3/crypto/blockchain During a conversation with a guy, this person pointed at someone else and said "yeah he also works in crypto haha" as if it was almost a joke
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Luis Hauenstein
Luis Hauenstein@luishXYZ·
Polymarket parlays (called “combos”) are officially out of beta now. I pulled the onchain + API data for the entire beta month to see if the launch was a success, and who won (and lost). Here's the full breakdown: 1. Adoption & volume During the first month (June 11th - July 10th) - over 58k users used combos - with over 430k total combo positions - $23.7M got staked in total A single whale spent $926k on combos so far. For comparison, the median combo size was tiny at $7. People use combos like lottery tickets: - Small buy-in - Mostly win nothing - Sometimes win big That's their appeal. 2. Winners & losers - 80% of users are net losers - Users so far lost a net $2.37M to market makers (out of the almost $24M wagered) These stats are normal sports book territory. The vig is similar to what you'd get from bookies. 3. Records so far Someone built a 38-leg combo (it did not win). Longest winning combo: 28 legs (user turned $0.97 into $5.28 by betting on all favorites to win). Best long-shot hit: 192x (from $1.94 to $373 on a 3-leg combo) Biggest single payout: $88,740 on a 2-leg combo ($30k stake, roughly 3x) Biggest combo winner overall: +$114.5k Biggest loser: −$59.6k Biggest single combo placed: $60,970 4. Market makers The entire NO side was quoted by 199 market maker wallets in total. They deployed ~$93M in collateral. One market maker dominates with ~$1.05M profit (more than all other MMs combined). Making markets on combos is NOT a free lunch: 86 of 199 MM wallets are net DOWN. 135 market makers hedged themselves directly on Polymarket (betting YES while quoting NO) All things considered, the stats are not as bad as I expected them to be. My expectation before was a retail blood bath. 10% vig is actually alright. --- I break down data from the Polymarket ecosystem every week. Follow me to not miss out, and happy comboing!
Luis Hauenstein tweet media
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