Prediction markets disagree. We find where. Signals and data on every kind of dissonance that might produce an edge. Free feed on Telegram. Pro $19/30d

Joined September 2026
The two fees have different shapes. Kalshi's taker fee is 0.07 x P x (1-P): about 0.63¢ a contract on a 100-lot at 10¢, 1.75¢ at the 50¢ peak. A flat 1¢ app fee is 10% of a 10¢ ticket but 2% of a 50¢ one. Longshot buyers pay the most for the convenience.
imagine the same prediction market being available through your wallet, your broker and the exchange itself potentially the same underlying liquidity but different costs depending on where you trade i wonder how much that starts to matter as more apps integrate prediction markets will ppl care enough about a few cents to switch interfaces or will convenience win? esp interesting when the apps bringing in the users are also earning fees from every trade
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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 👀
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On Oct 17 our public daily digest led with a 67% "top edge". It was wrong. What happened, and what we changed:
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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.
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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.
FOMC day. Decision 19:00 CET, Warsh presser 19:30 CET. Kalshi: 93% hold at 3.75-4.00%. Futures: >80% for a December hike. The hold is priced. Watch the vote: 2+ hawkish dissents = December basically locked in. BTC ~$80.8k into it. Expect wicks both ways. NFA
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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.
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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.
Fed day. A hold is ~94% priced (Polymarket). That's not the trade. The trade is December: Polymarket has a hike at 75%, a cut before January 2027 at ~10%. Plenty of crypto timelines are still waiting for cuts. The market stopped waiting. Warsh confirms that today, or pushes back.
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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?
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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.
After dipping my toes in so many speculative products, my fav asset class is prediction markets where you win by finding gaps in the probabilities and predict the likely outcome of reality.
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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.
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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):
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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.
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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