As a ladder it sits lower than "$1-2b". Above $1B is 57-58¢ on Polymarket, above $2B 26-29¢: about 30% inside that range and over 40% under $1B.
Under $800M already gets about 27%, so the $561m pre-market print isn't as far off the curve as it looks.
quick look at the current pre-market fdvs and prediction markets for the big 3 perp dex projects
🧐 variational is at $561m fdv on aspecta. on polymarket, it’s priced in the $1-2b range.
• honestly, aspecta doesn’t seem like a market to take too seriously. $var was previously expected to list on lighter pre-market. if we see a listing there, we can get a clearer picture.
⁃ extended is listed on lighter and hyperliquid pre-market, with a current fdv of around $250m. on polymarket, the odds of $300m are 32%, while $500m is at 14%.
⁃ pacifica is at around $250m fdv. according to prediction markets, the odds of $100m are 11%, while $200m is only at 8%.
▫️of course, these are just the current odds on prediction markets, not guaranteed outcomes. my expectations for tge are:
@variational_io $var: $1-1.5b
@extendedapp $xten: $230-250m
@pacifica_fi $pac: $150-180m
these are my expectations for tge. worth mentioning that i expect much better moves after tge as well 👀
On Oct 17 our public daily digest led with a 67% "top edge". It was wrong.
What happened, and what we changed:
The fix: a deterministic rule that runs after any model approval. One side a rate move, the other a hold, same institution: rejected.
Tested on this exact pair, a Fed hike vs hold, and cases that should still pass, like hike vs hike.
This is why we publish a delayed feed: so mistakes are visible, including ours. Prediction markets disagree. Our job is to find where without inventing it.
dissonance.fi
The dissent count is already in the price. Kalshi's October dissent book has Hammack at 70-77¢, Logan 65-85¢, Kashkari 27-35¢.
Read those spreads before the mids: Logan's quote is 20 cents wide on about 1.7K contracts open, so a single order can move the picture.
Dissonance.fi retweeted
Free vs Pro.
Telegram → free feed, 45 min delayed.
Pro → real-time signals and data across prediction markets, every row labeled verified, watch or context.
Pro $19 / 30 days.
Past December, the curve says when, not whether. A first hike before 2027 is 78-79¢ on Kalshi; before July 2027, 91-92¢.
December's own 25bp is 74-75¢, and January's meeting prices a further 25bp at 30-31¢. Today's hold is the least interesting contract on the board.
Worth adding: YES and NO share one book there. Say a 40¢ YES bid meets a 60¢ NO bid; they match by minting a fresh pair.
That's why a 17 Oct scan of 49,134 Polymarket markets found zero YES+NO gaps. What's left sits in multi-outcome sets: 166 flagged, 3 held up.
now the ballondor over and everywhere is calm
let's explain what happens what and why prediction markets combine an order book and an AMM
this is called a hybrid and prediction markets use the word hybrid for completely different things, let me clear it up
⤷ why some prediction markets use hybrids:
a brand new market has no traders, and an order book with no orders is empty, so there's no price to see and nothing to trade against
most new users would take one look and leave
an AMM fixes that, because a pool and a formula always quote a price
⤷ but AMMs have their own problem, as explained in the quoted post
and since an AMM only moves when someone trades, its price can stayput while the real world changes
so why not combine both?, let's look into AMMs and Order books
the core idea?
⤷ use each one where it's strong
for a new prediction market, the AMM posts quotes inside the order book, e.g a buy at 49c and a sell at 51c.
the first visitor sees a real price and can trade.
As real traders show up, they post their own orders, often at better prices
they compete with the AMM, and once the book is deep, the AMM becomes a backup that refills the book when orders run out
making sure the AMM fixes the empty book problem, and the order book fixes the slippage problem
but now big prediction markets like @Kalshi and @Polymarket each use another hybrid style
for @Polymarket orders are matched off chain by a fast backend, like a normal exchange
Placing or cancelling an order costs no gas fee, that's why you hear things like "zero gas fees"
the final swap of shares and money settles on chain on Polygon, so it's transparent and you keep custody of your funds
But why not do everything on chain?
⤷ a blockchain is too slow and expensive for every order and cancellation, it's great for final settlement, not for constant trades
one problem about this tho is what we call ghost fills (will explain in another post)
@Kalshi runs a fully centralized order book, so every trade and settlement is done by the company themselves
the problem about this? the orders might be matched wrongly or resolved poorly
the good thing is that it's CFTC regulated basically customer protection, so it would be hard to rig
so the next time you see a prediction market, ask two questions
⤷ how does it set prices?
⤷ and where does it settle?
the answers will tell you more about the risks than the odds do
which type of hybrid did you already know about?
Real, but small and short-lived. Our cross-venue feed logs about 230 pair gaps a day: median life 57 seconds, average peak 1.35% before fees, none above 5% in a week (14 Oct sample).
Spotting the gap is the easy part. Getting filled inside a minute is the job.
The screenshot hides the path. Lula traded 20-22¢ for most of election day and was still 24.5¢ at 20:00 UTC, as polls closed.
The count did the rest: 34.5¢ an hour later, 73¢ by 22:30, 99.85¢ by 00:30. The side priced near 80¢ all day was the one that lost.
A prediction market can move from an 80% lead to near certainty in hours.
This Polymarket screenshot shows Lula at 99% and Flávio Bolsonaro at 1% in a market labeled Brazil Presidential Election, with about $232.7 million in displayed volume.
Those odds reflect prices paid by market participants and the market’s contract wording; they are not official election results or a guarantee of the outcome.
Before interpreting a dramatic move, check the resolution criteria, liquidity, time horizon and whether the market is correctly labeled.
Not financial advice.
All five races on that list lean the same way across venues: the Republican is 1-3 points dearer on one of them every time, checked at 15:30 Rome.
That's Kalshi. Widest is Kansas, Masterson 75-76¢ vs 72-73¢ on Polymarket, and it's Kalshi's quietest book of the five.
Governor odds, 7 days out: bettors see three blue flips.
Polymarket / Kalshi:
OH: Acton (D) 83.5% / 83%
NV: Ford (D) 71.5% / 72%
GA: Bottoms (D) 63% / 61%
WI: Crowley (D) 80.5% / 79%
KS: Masterson (R) 75.5% / 78%, a likely GOP pickup
Market odds, not votes. #Midterms2026
Part of building a signal feed is killing ideas that don't hold up.
Here's what our research tested and dropped, with the numbers (internal data, measured Oct 14):
Two things we rule out: pairs matched on similar wording alone, and promise-of-profit framing.
The first breaks on contracts that read alike and settle differently. The second isn't backed by the evidence we've seen.
Killing an idea is cheap. Selling one that doesn't work costs users money and costs us trust.
So we publish the misses too. Prediction markets disagree. We find where. dissonance.fi














