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Polymarket’s 5-cent signal was the only thing that got the Netanyahu rumors right

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Polymarket volume chart

The rumor followed a familiar wartime script. Iran’s Islamic Revolutionary Guard Corps claimed it had struck Benjamin Netanyahu’s office. Then came the forged screenshots — fake posts from the Israeli prime minister’s official account announcing he was dead. Then came the AI furore over a low-resolution freeze-frame from a press conference that, at the right angle, appeared to show Netanyahu’s right hand sporting six fingers, leading contrarian commentators to take victory laps.

Conservative influencer Candace Owens amplified the claims loudly on X, demanding to know where Netanyahu was and why his office was “releasing and deleting fake AI videos.” Iran’s Tasnim News Agency — run by the Islamic Revolutionary Guard Corps — published an article titled “New Video of Netanyahu Proves Fake,” cataloguing alleged clear signs that a subsequent coffee shop clip, posted by Netanyahu’s own account to debunk the rumors, was itself generated by artificial intelligence. The conspiracy had become self-sealing; every refutation was recast as fresh evidence.

But while the fact-checkers scrambled and the podcasters speculated, one data source offered a clean, immediate signal. On Polymarket, the world’s largest crypto prediction market, the contract for “Netanyahu out by March 31” was trading at around 4 to 5 cents, implying a roughly 4 to 5% probability of him leaving office before the end of the month. The market didn’t move. For anyone paying attention to that number, the entire conspiracy theory collapsed in a single glance.

Polymarket volume chart
Polymarket volume (Dune Analytics)

A record-breaking backdrop

To understand why the Netanyahu conspiracy took hold when it did, you need to understand the information environment it emerged from.

Since the U.S. and Israel launched strikes on Iran on Feb. 28, Polymarket has been transformed into something closer to a real-time geopolitical intelligence terminal. In the week ending March 1, bettors placed $425 million in geopolitics wagers on the platform alone — up from $163 million the prior week — with total platform wagering hitting a record $2.4 billion. The “US strikes Iran by…?” contract accumulated $529 million in total volume, making it one of the largest single markets Polymarket has ever hosted and the fourth-largest in its entire “Politics” category.

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It is a remarkable trajectory for a platform that processed $73 million in total trading volume in 2023 and was pushed offshore by a CFTC settlement a year later. By 2025, Polymarket had processed approximately $22 billion in notional trading volume across the year — a figure that underscores how quickly the platform has moved from crypto curiosity to mainstream financial infrastructure.

This is no longer a crypto curiosity. In October 2025, the Intercontinental Exchange, parent company of the New York Stock Exchange, invested $2 billion into Polymarket at a $9 billion valuation, and launched a “Polymarket Signals and Sentiment” tool that feeds real-time prediction market data directly to Wall Street trading desks. When the Iran war began, equity and oil futures markets were closed for the weekend. Polymarket was not.

The market as instant truth machine

Prediction markets don’t have death contracts in the conventional sense. What Polymarket offers instead are “politician out by X date” markets, which resolve “Yes” if a leader resigns, is removed, or steps down. They don’t directly price the probability of death. But in a context where the conspiracy theory is that Netanyahu has been killed and the government is conducting a cover-up, these contracts function as a powerful proxy.

The logic is simple. A leader who has died or been incapacitated cannot indefinitely run a country from office. Eventually, a resignation, a removal or a credible leak would surface. And if any of that happened, the payout on a “Yes” share at 5 cents would be enormous: a $1 payout on a 5-cent share is a 20-to-1 return.

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One trader was willing to make that bet at scale. A single Polymarket account placed $151,000 on Netanyahu being out before March 31, accumulating nearly 3.8 million shares at 4.7 cents each. If correct, the position would pay out $3.8 million. It is currently underwater by roughly $26,000.

That number is the ceiling of rational conviction in the conspiracy. At the height of the online hysteria, the most aggressive speculator on record was willing to stake $150,000 on the theory — implying he knew the odds were long. The market as a whole put the probability at around 5%. Social media said it was certain. The money said otherwise.

“Whether a politician is in or out of office is a very economically meaningful outcome for a lot of people,” said Aaron Brogan, a managing attorney at Brogan Law who has advised on prediction market regulation. “These are exactly the kinds of markets that event contract rules were designed to accommodate.”

Why the odds are hard to fake

The 2024 US election cycle offered a masterclass in prediction market efficiency — and the limits of efforts to dismiss its signals. When Polymarket showed Donald Trump trading at a substantial premium over Kamala Harris, critics cried manipulation. A French trader, they alleged, had artificially pumped Trump’s odds using multiple accounts for political purposes.

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The experts weren’t buying it. As Flip Pidot, co-founder of American Civics Exchange, told CoinDesk at the time: a true manipulator trying to move the price would simply pile in blindly and let themselves get filled at worsening prices. The French trader did the opposite — splitting orders strategically across accounts to minimize slippage. That is what profit-seeking looks like, not propaganda.

The deeper reason manipulation struggles to stick is expected value arbitrage. If a price is artificially depressed or inflated, profit-hungry traders pile in to exploit the gap until it closes. Cross-market arbitrage reinforces this: Polymarket prices in real time against Kalshi, Betfair, and others. If odds drift meaningfully out of line across platforms, traders immediately sell the higher price and buy the lower one, synchronizing markets toward a consensus.

Harry Crane, a statistics professor at Rutgers University who studies prediction markets, sees the Netanyahu episode as a near-perfect illustration of this dynamic. “These markets are an antidote to propaganda precisely because their resolution rules anchor outcomes to verifiable sources rather than narrative,” he told CoinDesk. “I understand why governments want to limit them — not because of concerns over leaking classified information, but because verifiable price signals are harder to control.”

That framing maps directly onto the Netanyahu conspiracy. The people claiming he was dead were doing structurally the same thing as those who cried Polymarket was rigged in 2024: attacking the signal rather than engaging with it.

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What the market is actually pricing — and what it isn’t

Crane is careful about the limits of the signal, and his caveat is worth sitting with.

“The market is only pricing the probability that Netanyahu is verifiably out of office under these rules,” he said. The resolution criteria state that the contract resolves “Yes” if Netanyahu announces his resignation or is otherwise removed from office, confirmed by official sources or a consensus of credible reporting. If a government concealed a leader’s death so completely that no credible source ever confirmed it, the market could resolve “No” — faithfully, correctly under its own rules, and yet without capturing the underlying reality.

That dynamic was playing out in real time. Domer — a well-known prediction market trader who goes by ImJustKen online — was publicly holding a No position on Netanyahu leaving office before March 31. Not because he was certain Netanyahu was alive, but because he didn’t believe a departure would ever be confirmed under the market’s resolution criteria, even if it occurred. He was pricing the verification gap, not the conspiracy itself.

But that caveat reveals something important about the conspiracy itself. The Netanyahu death rumor only holds together if you believe in a cover-up so total — encompassing Israeli officials, international media, independent fact-checkers, and Netanyahu’s own social media accounts simultaneously — that no verifiable evidence would ever surface. At that point, the conspiracy has become unfalsifiable by design. An unfalsifiable claim is one no rational actor should stake capital on.

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This is the key distinction from traditional fact-checking. A fact-checker requires institutional credibility, research time, and editorial process — all of which conspiracy theories are engineered to preemptively undermine. A Polymarket price requires none of that. It requires only that someone, somewhere, believes the opposite enough to put real money on it. When no one does, that is its own kind of proof.

The contrast case: Khamenei

The clearest evidence that these markets work as a truth signal — and not merely as a null result — is what happened with the Khamenei contract.

When Iranian Supreme Leader Ali Khamenei was killed in the February 28 strikes, the “Khamenei out as Supreme Leader by March 31” contract on Polymarket behaved exactly as you would expect from an efficient market. It had hovered between 25% and 50% through January and February as tensions built, pricing genuine uncertainty about an escalating conflict. Then, when Iranian state TV confirmed his death, it spiked vertically to 100%. The contract drew $45 million in volume. The top trader made $757,000 on a yes bet. Four others cleared six figures.

The Netanyahu market did not do this. It stubbornly remained below 5 cents throughout the conspiracy cycle. The crowd that correctly priced Khamenei’s death — and got paid for it — looked at the Netanyahu claims and declined to move.

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Price movements on Polymarket (Polymarket)
Price movements on Polymarket (Polymarket)

The regulatory storm gathering overhead

The informational value of these markets is being stress-tested at exactly the moment when political pressure against them is reaching its peak.

When Khamenei was killed, Kalshi — Polymarket’s CFTC-regulated rival — invoked a “death carveout” buried in its contract terms, settling its Khamenei positions at the last traded price before his death: roughly 39.5 cents rather than the full dollar. Polymarket, which carries no such carveout, paid out in full. A $54 million class action lawsuit against Kalshi followed.

The inconsistency in Kalshi’s approach has been pointed out sharply. In late 2024, Kalshi had run a market on whether a 100-year-old Jimmy Carter would attend Trump’s inauguration. When Carter died before it took place, Kalshi settled that contract to “No” — resolving a market directly via death, without invoking any carveout. As Crane has noted, the application of its death carveout appears to have been selective: they settle on death, just not when it’s expensive.

Kalshi disputes the characterization. “Our rules were clear from the beginning, we never changed them, and we settled based on the rules,” a spokesperson said. The company added that it reimbursed all fees and net losses out of pocket following the Khamenei settlement — “to the tune of millions of dollars” — ensuring no user lost money on the market. “Kalshi is a peer-to-peer exchange and does not profit from user losses. We have no incentive not to pay out our users, but we need to follow the rules of the exchange and the rule of law.”

On the legislative push, the company struck a conciliatory tone. “Kalshi already bans insider trading and markets directly tied to death and war,” a spokesperson said. “As a US-based exchange, we support regulators and policymakers from both sides of the aisle in their efforts to keep these markets safe and responsible in America.”

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Kalshi declined to comment on record about the consistency of the death carveout as applied to the Khamenei contract versus the Carter market, or on the current status of the class action lawsuit.

Six Democratic senators, led by Adam Schiff, have written to the CFTC demanding a categorical ban on contracts that “resolve upon or closely correlate to an individual’s death.” Separately, senators Merkley and Klobuchar have introduced the End Prediction Market Corruption Act, which would bar the president, vice president, members of Congress, and their immediate families from trading event contracts, and impose fines and profit clawbacks for violations — citing the well-timed wagers on US strikes and Iranian leadership changes that netted some traders hundreds of thousands of dollars.

Blockchain analytics firm Bubblemaps identified six newly created wallets that collectively netted $1.2 million betting on the timing of US strikes on Iran, with accounts funded within 24 hours of the attack. One trader turned roughly $60,000 into nearly $500,000.

Brogan is skeptical that the legislative push has the momentum to land. “This is largely Democratic senators using the legislative process to generate political capital,” he said. “The conditions under which that legislation actually passes are where something really calamitous happens — some kind of market collapse or scandal that forces politicians to make an example of the industry. Without that, I don’t think there’s sufficient political capital to move it.”

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He also draws a clear distinction between Polymarket’s legal exposure and Kalshi’s. “The restrictions Kalshi faces are not directly applicable to Polymarket,” Brogan said. Polymarket is not a CFTC-regulated US exchange — a status that stems from a 2021 settlement that pushed it offshore and barred US users from accessing it directly. That remains its largest single legal exposure, Brogan noted, though he pointed out that the Trump administration has shown little appetite for pursuing the kind of action the Biden administration explored against Polymarket CEO Shayne Coplan in early 2025.

Crane, for his part, is unambiguous about what would be lost if the legislative push succeeded. “These markets have genuine informational value and can counter propaganda,” he said. “That’s the case study here — a market involving war and the fate of a political leader doing exactly what its critics say it shouldn’t exist to do.”

There is also a state-level front opening up. Arizona recently charged Kalshi with operating an illegal gambling operation — part of a broader conflict between states that regulate and tax traditional gambling markets and federally-overseen prediction markets that sit outside their control. “The question that ultimately matters is whether federal law will preempt state law on this,” Brogan said. “There are courts hearing that question right now.”

What the crowd gets right — and what it can’t fix

None of this is to say prediction markets are infallible. Crane notes that nearly 25% of Polymarket’s historical volume has been attributed to wash trading — artificial activity generated by users trying to position themselves for a potential token airdrop — a figure that Columbia University researchers found peaked at around 60% in December 2024 before falling sharply. Wash trading inflates headline volume without necessarily biasing prices, but it is a legitimate caveat to the “wisdom of crowds” narrative.

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The more fundamental limitation is what Crane identified in his answer to the manipulation question: a sufficiently coordinated disinformation campaign could, in theory, move a market — especially a smaller one. The Netanyahu “out by March 31” contract had enough liquidity to make that expensive, but not impossible.

What prediction markets cannot do is replace the underlying information infrastructure they depend on. They resolve against credible sources. If those sources are corrupted or silent — as Iranian state media clearly was throughout this episode — the market’s signal is only as good as the resolution criteria it is anchored to.

But in the Netanyahu case, that is precisely where the conspiracy fell apart. The rumor required a cover-up so comprehensive that no Israeli official, no international journalist, no independent fact-checker, and no market trader with real money on the line would ever find confirmation. The market priced that scenario at 5 cents. It was right.

When Candace Owens was demanding to know where Bibi was, Polymarket already had an answer. It just costs a few pennies to read it.

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How DeFi is quietly rebuilding the fixed-income stack for institutional capital

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How DeFi is quietly rebuilding the fixed-income stack for institutional capital

For years, tokenization has been framed as crypto’s bridge to Wall Street. Put Treasuries onchain. Issue tokenized money market funds. Represent equities digitally. The assumption was simple: if assets move onchain, institutions will follow.

But tokenization alone was never the endgame. As we recently argued in our institutional outlook, the real institutional unlock isn’t digitizing assets – it’s financializing yield.

Following the regulatory clarity that emerged in 2025, institutional interest in digital assets has shifted from exploratory exposure to infrastructure-level participation. Surveys increasingly suggest that institutional engagement with DeFi could rise sharply over the next couple of years, while a meaningful share of allocators are exploring tokenized assets. Yet large allocators are not entering crypto solely to hold tokenized wrappers. They are entering for yield, capital efficiency, and programmable collateral. That requires a different kind of DeFi than the retail-built one in 2021.

In traditional finance, fixed-income instruments are rarely held in isolation. They are repo’d, pledged, rehypothecated, stripped, hedged and embedded into structured products. Yield is traded independently of principal, and collateral moves fluidly across markets. The plumbing matters as much as the product.

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DeFi is now beginning to replicate those core functions.

A tokenized Treasury or equity is only marginally useful if it behaves like a static certificate. Institutions want tokenized assets to become functioning, working financial instruments: collateral that can be deployed, financed and risk-managed; yield that can be isolated, priced and traded; and positions that can be integrated into broader strategies without breaking compliance constraints.

That is the shift from first-order tokenization to second-order yield markets.

Early design patterns already point in this direction. Hybrid market structures are emerging in which permissioned, regulated assets can be used as collateral while borrowing is facilitated by using permissionless stablecoins. At the same time, yield trading architectures are expanding the range of activities investors can undertake with tokenized assets by separating principal exposure from the yield stream. Once the yield component of an onchain asset can be priced, traded, and composed, tokenized instruments become usable in strategies that are much closer to what allocators already run in traditional markets.

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For institutions, this matters because it turns real-world assets (RWAs) from passive exposure into active portfolio tools. If yield can be traded independently, then hedging and duration management become more feasible, and structured exposures become possible without rebuilding the entire stack off-chain. Tokenization stops being a narrative and starts becoming market infrastructure.

However, yield infrastructure alone will not bring institutional scale. Institutional constraints that shaped traditional markets have not disappeared; they are being translated into code.

One of the most important constraints is confidentiality. Public blockchains expose balances, positions, and transaction flows in ways that conflict with how professional capital operates. Visible liquidation levels invite predatory strategies, public trade history reveals positioning, and treasury management becomes transparent to competitors. For institutions accustomed to controlled disclosure and information asymmetry, these are not philosophical objections – they are operational risks.

Historically, privacy in crypto has been treated as a regulatory liability. What is emerging instead is privacy as compliance-enabling infrastructure.

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Zero-knowledge systems can prove transactions are valid without revealing sensitive details. Selective disclosure mechanisms can enable institutions to share limited visibility with auditors, regulators, or tax authorities without disclosing the entire balance sheet. Proof systems can demonstrate that funds are not linked to sanctioned or illicit sources without disclosing broader transaction history. Even approaches such as fully homomorphic encryption point toward a future in which certain kinds of computation can occur on encrypted data, widening the set of financial actions that can be performed privately while retaining verifiability where required.

This is not ‘privacy as opacity’. It is programmable confidentiality, and it more closely resembles established market structures, such as confidential brokerage workflows or regulated dark pools, than it does anonymous shadow finance. For institutions, that distinction is the difference between a system that is unusable and one that can be deployed at scale.

A second constraint is compliance. Regulatory clarity has reduced existential uncertainty, but it has also raised expectations. Institutional capital demands eligibility controls, identity verification, sanctions screening, auditability and clear operational regimes. If the next phase of DeFi is going to intermediate real-world value at scale, compliance cannot remain an afterthought bolted onto a permissionless system. It has to be embedded into market design.

That is why one of the most important patterns emerging in institutional DeFi is a hybrid architecture combining permissioned collateral with permissionless liquidity. Tokenized RWAs can be restricted at the smart contract level to approved participants, while borrowing can occur via widely used stablecoins and open liquidity pools. Identity and eligibility checks can be automated. Asset provenance and valuation constraints can be enforced. Audit trails can be produced without forcing every operational detail into public view.

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This approach resolves a long-standing tension. Institutions can deploy regulated assets into DeFi without compromising core requirements around custody, investor protection and sanctions compliance, while still benefiting from the liquidity and composability that made DeFi powerful in the first place.

Taken together, these shifts point to a broader reality where DeFi is not simply attracting institutional capital; it is, in fact, being reshaped by institutional constraints. The dominant narrative in crypto still centers on retail cycles and token volatility, but beneath that surface, protocol design is evolving toward a more familiar destination – a fixed-income stack where collateral moves, yield trades and compliance is operationalized.

Tokenization was phase one because it proved assets could live onchain. Phase two is about making those assets behave like real financial instruments, with yield markets and risk controls that institutions recognize. When that transition matures, the conversation shifts from crypto adoption to capital markets migration.

That shift is already underway.

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Bitcoin Options Flag Traders’ Fear As Iran War Carries On

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Bitcoin Options Flag Traders’ Fear As Iran War Carries On

Key takeaways:

  • Bitcoin traders are turning cautious as high oil prices and Middle East tensions fuel inflation and stall US interest rate cuts.

  • The $254 million in spot Bitcoin ETF outflows is too small to confirm a bearish flip, yet options markets show heavy hedging.

Bitcoin (BTC) price stagnated near $70,000 during the Friday trading session after failing to reclaim the $75,000 level on Tuesday. The decline marked two days of net outflows from US-listed Bitcoin spot exchange-traded funds (ETFs), reversing the trend from the prior seven days. Traders are now wondering if institutional investors are turning bearish, especially as the US stock market showed signs of weakness.

US-listed spot Bitcoin ETFs daily net flows, USD million. Source: Farside Investors

The bearish sentiment across global markets is weighing on Bitcoin as the S&P 500 plummeted to its lowest level in six months. Even gold, which typically acts as a hedge, faced a 10% sell-off over three days. As the US and Israel-Iran war triggers a broad move toward risk aversion, Bitcoin derivatives data now reflect increasing fear among traders.

Bitcoin options put-to-call premium volumes at Deribit, USD. Source: Laevitas.ch

Demand for put (sell) Bitcoin options premiums at Deribit was nearly 2.5 times larger than equivalent call (buy) instruments on Friday, indicating increased demand for neutral-to-bearish strategies. The prior surge in the metric occurred on Feb. 27 after Iran rejected negotiations to dismantle its key nuclear facilities and export its enriched uranium.

Traders frustrated by Bitcoin’s 17% lag behind the S&P 500 

To confirm if the increased demand for put options has effectively been used for downside protection, one should assess the delta skew metric. When market makers fear imminent Bitcoin price correction risks, the put options tend to trade at a 6% or higher premium relative to equivalent call instruments. Conversely, periods of bullishness push the indicator below -6%.

Bitcoin 30-day options delta skew (put-call) at Deribit. Source: Laevitas.ch

The Bitcoin options delta skew (put-call) stood at 16% on Friday, meaning professional traders were not comfortable that the $69,000 level will hold. While distant from the extreme panic levels seen in late February, the current conditions reflect the stress caused by the 21% price drop in three months, while gold and the US stock market held relatively steady.

Bitcoin/USD vs. S&P 500 Index & gold/USD. Source: TradingView

Regardless of whether Bitcoin successfully defends the $70,000 level, traders are not pleased with the 17% underperformance relative to the S&P 500 over three months. More importantly, the recent rally to $75,000 on Tuesday was unable to move the needle in Bitcoin options markets, a strong indicator that traders are acting overly cautious. 

Related: Crypto Biz–Institutions aren’t waiting for the bottom

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Part of the pessimism can be attributed to the surge in energy prices. WTI oil prices have sustained levels above $94 since March 12, a 50% increase versus the prior month. The disruption of oil and gas production and logistics in the Middle East negatively impacts economic growth expectations and limits the ability of the US Federal Reserve to slash interest rates due to inflationary pressure.

The fuel price surge is expected to cause consumers to pull back on spending, according to a new Oxford Economics analysis. Analysts warned that US manufacturers who rely on imports will also be impacted, causing further price increases and potential “outright shortages of some products,” according to Yahoo Finance.

The mere $254 million net outflows in two days are unlikely to be a sign of institutional investors flipping bearish, but traders are not confident that Bitcoin will hold above the $68,000 level. Traders’ sentiment has been largely driven by worsening macroeconomic conditions and uncertainty caused by the prolonged war, driving increased demand for downside protection using derivatives.