"There are two answers: God, or an insider trader. And something tells me that God is not placing bets around Donald Trump's posts on Truth Social."

— Professor Joshua Mitts, Columbia Law School (Department of Justice advisor on insider trading cases), NPR, April 10, 2026

Author: Dennis Kim (김호광) Cyworld CEO · Betalabs CEO · Developer · Web3 Investor 📧 [email protected] 🔗 GitHub @gameworkerkim 🔗 vibe-investing Repository

Published: April 20, 2026 Category: Market Microstructure · Prediction Markets · Insider Trading Forensics · Geopolitical Risk Accompanying Data (3 files):

Executive Summary

During the US-Iran crisis of 2025-2026, repeatedly recurring patterns of "anomalously precise timing" in bets across prediction markets (Polymarket, Kalshi) and derivatives on crude oil futures and equities have been observed. This column analyzes these patterns mathematically from statistical and blockchain forensics perspectives — without naming any specific individuals or government officials.

Key Figures (All Based on Publicly Available Data):

  • 📊 Harvard Corporate Governance 2026 study: 210,718 wallet-market pairs on Polymarket were classified as suspicious transactions, with a win rate of 69.9% — exceeding random distribution by more than 60 standard deviations (σ)- 💰$143M estimated anomalous profits (Feb 2024 ~ Feb 2026, full analysis of 93,000 markets / 50,000 wallets)
  • 🎯 $699M total trading volume in Iran-related markets ($529M strike + $170M ceasefire)
  • ⏱️ April 7, 2026 ceasefire case: A wallet created 12 minutes beforeTrump's Truth Social post placed bets → $48,500 profit. A total of50+ newly created accounts entered within hours
  • 🛢️ March 23, 2026 oil anomaly: 6,200 Brent/WTI contracts ($580M notional) executed 15 minutes before Trump's post
  • 🎖️ February 28, 2026 Iran strike: 'Magamyman' account entered 71 minutes beforeannouncement, when market implied probability was 17% → $553,000 profitWhat This Pattern Means: The probabilistic assumptions required to explain these events as coincidence are physically unreasonable. Conversely, the hypothesis that "some participants held pre-announcement information" is consistent with the data. This column develops this conclusion through mathematical proofandBayesian hypothesis analysis.

Why This Analysis Matters: Market trust depends on information symmetry. When asymmetry becomes structural, legitimate participants withdraw, and their place is filled by speculation, bots, and manipulation. Both the 2022 FTX collapse and the 1998 LTCM failure began with the asymmetric belief "we know something others don't". As of 2026, the $143M in anomalous profits on Polymarket is the quantitative measurement of this trust erosion.

🚨 Critical Notice (Required Reading)

This column is for research and educational purposes only. It is neither investment advice nor legal judgment. Please understand the following:

  1. This column does NOT identify specific individuals, institutions, or government officials as "insider traders."The analysis relies exclusively onstatistical induction. Determination of the legal nature of individual events is the responsibility of the SEC, CFTC, DOJ, Congressional oversight committees, and other jurisdictional authorities.
  2. The Harvard paper itself frames this as "This is not definitive proof of insider trading." This column maintains the same linguistic rigor.
  3. Statistical pattern ≠ individual actor guilt. A 69.9% win rate does not mean "any specific wallet is an insider." It means "the trading distribution of a specific set of wallets rejects the null hypothesis of randomness."
  4. A topic with political implications: Bipartisan bills (BETS OFF Act, Torres Bill) have already been introduced, and both Republican and Democratic parties acknowledge the need for regulation. This column takes no partisan stance.
  5. Data limitations: Public blockchain data only reveals wallet addresses. The actual identities behind the wallets, the ultimate beneficiaries of fund flows, and information sources are traceable only by regulatory and investigative agencies.
  6. Betting on prediction markets itself is legal. The issue is "whether specific participants used information inaccessible to others."

This column applies the same framework (the VTCLR pattern) as the previous "An Invisible Hand, or a Planned Fraud?" column, now to prediction markets. It analyzes structural patterns only, without naming specific actors.

1. Chronology of Events — What Keeps Happening?

1-1. January 2025: The Maduro Case (Prelude)

Actions of the 'Burdensome-Mix' wallet:

  • Bought "Maduro out by January 31" YES with $38,500 investment
  • Placed bets hours before the Maduro ouster was publicly announced
  • Final profit: $485,000 (12.6x return)

As a single event, this could be explained by "luck." However, this was the beginning of a pattern.

1-2. January 20, 2025: Biden's Final Day Pardons

A single anonymous trader:

  • Placed YES bets on 5 of Biden's final-day pardons- Bought when the market implied probability was around$0.04 (4%)- Hit 5/5 →$316,346 profit

Comment from Columbia Law School's Joshua Mitts (DOJ advisor on insider trading): "The odds of this happening by random chance are virtually zero."

Let's verify this mathematically:

  • Cumulative probability of hitting 5 events at 4% each = 0.04⁵ = 1.024 × 10⁻⁷- Approximately1 in 10 million### 1-3. February 28, 2026: US-Israeli Strike on IranThe Harvard paper's "introductory case":
  • 6 newly created wallets bought "US strikes Iran by February 28?" YES
  • Entered at price $0.10 (market probability 10%)
  • After the strike was announced, paid out $1.00 → Total $1.2M profit

'Magamyman' account:

  • First trade 71 minutes before the news broke
  • Market implied probability at the time: 17%
  • $553,000 profit

The strike was "one of the most closely guarded military operations in recent history" (original Harvard paper text). Yet there was already movement on Polymarket 71 minutes earlier.

1-4. March 23, 2026: 15-Minute Oil Futures Spike

Trump posted on Truth Social at 07:04 ET:

"VERY GOOD AND PRODUCTIVE CONVERSATIONS" (delaying strikes on Iranian energy infrastructure)

Al Jazeera's review of CME/ICE data revealed:

  • 15 minutes before the post (06:49~07:04 ET)
  • 6,200 contracts of Brent crude + WTI executed
  • Notional value: $580M ($580 million)
  • Volume was 3-5x the typical for the time window

Immediately after Trump's post, oil fell -6%. Short positions opened 15 minutes earlier profited by millions of dollars.

1-5. April 7, 2026: 50+ New Accounts Betting Simultaneously

As the 20:00 ET deadline approached, Trump made hard-line remarks:

"A whole civilization will die tonight"

In the hours just before:

  • More than 50 newly created Polymarket accounts bought "US-Iran ceasefire by April 7" YES
  • One wallet was created 12 minutes before Trump's post → immediately bought $31,908 YES @ $0.33
  • Trump ultimately delayed the deadline → YES probability surged to $0.92
  • That wallet: $48,500 profit (1.5x)

AP report:

"These were the sole bets made on Polymarket through these accounts."

1-6. March 2026: Bubblemaps' Single Trader Analysis

A single trader tracked by blockchain analytics firm Bubblemaps, in collaboration with CNN:

  • Dozens of bets related to US/Israeli military action against Iran
  • 93% win rate- Cumulative profit since 2024:$1M- Several winning bets placedjust before undisclosed operations

The information source might have been "open source intelligence (OSINT)." However, if a 93% win rate is maintained across dozens of bets over 2 years, this is almost certainly a statistical outlier.

2. Mathematical Analysis — Why "Luck" Cannot Explain This

2-1. Core Findings of the Harvard University Study

Systematic analysis from the Corporate Governance 2026 (Harvard) paper ("From Iran to Taylor Swift: Informed Trading in Prediction Markets"):

  • Analysis range: Feb 2024 ~ Feb 2026 (24 months)
  • Number of markets: 93,000+
  • Unique wallets: 50,000+
  • 5 screening signals:
    1. Cross-sectional bet size (relative bet size within a market)
    2. Within-trader bet size (bet size compared to trader's typical)
    3. Profitability
    4. Pre-event timing
    5. Directional concentration

Results:

  • Suspicious wallet-market pairs: 210,718- Win rate of this set:69.9%- Deviation from random hypothesis:60+ standard deviations (σ)- Total estimated anomalous profit:$143M

2-2. What "60 Standard Deviations" Means

An accessible analogy for the general reader:

Std. Deviation Deviation Probability Analogy
2σ 1/22 Everyday outlier
3σ 1/370 Notable outlier
5σ 1/3.5M Scientific discovery threshold (Higgs boson)
6σ 1/500M Limits of industrial quality control
60σ 10⁻⁸⁰⁰+ Smaller than the number of atoms in the universe

The total number of atoms in the universe is approximately 10⁸⁰. 60 standard deviation deviation = a probability similar to randomly picking one atom anywhere in the universe and it being "exactly this winning wallet".

In other words, the mathematical conclusion of the Harvard study is: The trading distribution of the suspicious set rejects the null hypothesis of randomness. This does not mean "every suspicious wallet is an insider," but it is definitively established that "the entire set cannot be explained by pure luck."

2-3. Probability Calculation for the Biden Pardon Case

Let's examine the Biden pardon case separately:

  • 5 pardon outcomes predicted
  • Each with market implied probability $0.04 (4%)- 5/5 hitsHypothesis A (Random): P(5 hits) = (0.04)⁵ = 1.024 × 10⁻⁷

Hypothesis B (Simple OSINT - using public news): Assume pardon probability in public news averaged ~10%. P(5 hits with OSINT) ≈ (0.1)⁵ = 10⁻⁵

Hypothesis C (Insider information): P(5 hits with insider info) ≈ 1.0 (practically certain)

Bayes' Theorem:

  • Prior P(A) = 0.95, P(B) = 0.04, P(C) = 0.01 (very conservative prior)
  • Posterior after observation P(C | 5 hits) = (P(5 hits | C) × P(C)) / P(5 hits)
  • = (1.0 × 0.01) / (0.95 × 10⁻⁷ + 0.04 × 10⁻⁵ + 0.01 × 1.0)
  • = 0.01 / (0.01 + ε)
  • ≈ 99.9%That is, even with avery conservative prior (1% sentient probability for the insider hypothesis), the posterior after observation supports the insider hypothesis at approximately 99.9%.

2-4. Timing Distribution Analysis — The Probability of a "12-Minute-Old Wallet"

For the April 7, 2026 case:

  • One wallet created 12 minutes before Trump's post
  • Immediately deposited ~$32K into YES
  • Polymarket's share of new daily signups in that time window: about 0.1%- Of those, the probability of betting $30K+ on the Iran ceasefire market:<0.01%- Of those, the probability of buying precisely at $0.33 (not near peak):<0.1%Combined probability: approximately10⁻¹⁰ level.

This is the statistic for a single wallet. According to Euronews' reporting, another 50+ walletsentered at similar timing. If these were independent events, the joint probability iseffectively 0.

2-5. Directional Concentration — The Bubblemaps Single Trader

Trading log of the trader tracked by Bubblemaps (2024-2026):

  • Dozens of bets (estimated 30-50)
  • Win rate 93%- Domain: US/Israeli military action against IranBinomial test:
  • Under random guessing, win rate = market average implied probability
  • Generously assume average implied probability of 50%
  • Probability of hitting ≥ 37 of 40 (92.5%):
    • P(X ≥ 37 | n=40, p=0.5)
    • = Σ C(40,k) × 0.5⁴⁰ (k=37~40)
    • ≈ 8.5 × 10⁻⁸- Approximately1 in 10 millionEven generously assuming an average implied probability of60% (slightly favorable information):
  • P(X ≥ 37 | n=40, p=0.6) ≈ 4 × 10⁻⁶- Approximately1 in 250,000In other words, no matter how generously the prior is set, this trader's performance isincompatible with the random hypothesis.

3. Bayesian Analysis of Three Hypotheses

Let's enumerate every possible hypothesis that could explain the observed pattern and evaluate each.

H₁: "Pure Luck · Coincidence"

Predictions:

  • Suspicious set win rate should equal the market average
  • No structure in distribution of betting volume before/after announcements
  • No correlation between wallet creation time and bet timing

Actual observations:

  • 69.9% win rate (60σ deviation from market average)
  • Strong pre-event betting clustering
  • Extreme timing like "12-minutes-old wallet"

Conclusion: Rejected. Requires physically unreasonable probability.

H₂: "Sophisticated OSINT (Open Source Intelligence)"

Some argue:

  • Combining Trump's other remarks, X account activity, diplomatic entry records
  • Hyper-skilled behavior analysts predict announcement probability in advance

Predictions:

  • Consistent win rate improvement (but not 100%)
  • Since based on public information, multiple analysts reach similar conclusions
  • Wallets must have long histories (technical accumulation required)
  • Should sometimes be wrong

Actual observations:

  • Some cases can be explained (e.g., predicting hawkish action after Trump's hard-line remarks)
  • However:
    • Military operations (February 28, 2026 Iran strike) cannot be predicted via OSINT 71 minutes in advance — the operation itself was secret
    • 5/5 100% hits on Biden pardons impossible via OSINT
    • New wallet patterns (12-minutes-old creation, no history) contradict OSINT expertise
    • Bubblemaps trader's 93% over dozens of bets — empirically, skilled public information users max out at around 70%

Conclusion: Partial support (some cases). But cannot explain the overall pattern.

H₃: "Access to Non-Public Information (Insider Information)"

Under this hypothesis:

  • Individuals who know specific announcements/decisions in advance, or paths through which information flows to them
  • Creating new wallets is a natural consequence of OpSec (operational security) practices — avoiding tracking
  • Wallet splitting also deflects attention from single large bets

Predictions:

  • Win rate >90%
  • Timing concentration just before announcements
  • Mainly new wallets (avoiding identity exposure)
  • Different wallets for each event (minimizing overlap)

Actual observations:

  • Suspicious set win rate 69.9% (set average; individual cases higher)
  • Bubblemaps single trader 93%, Magamyman 100%
  • All high-profit cases are new wallets (Feb 2025 Iran, Feb 28, 2026 Iran, Apr 7, 2026)
  • Biden pardon 5/5 at 100%

Conclusion: The hypothesis most consistent with observations. But caution — this does not mean "specific individuals are insiders," but rather "information asymmetry exists structurally." The source of the asymmetry could be:

H₃-a: White House/administration officials betting directly H₃-b: Officials passing information to third parties who then bet H₃-c: Foreign intelligence agencies intercepting US official communications and betting H₃-d: Lower-level military/diplomatic personnel leaking H₃-e: Exchange/platform insiders observing order flow

With publicly available data, it is currently impossible to determine which of H₃-a through H₃-e applies. In Senator Blumenthal's words: "Polymarket has become a honeypot watched by foreign intelligence services" (April 2026).

Summary of Three Hypotheses

Hypothesis Prior (conservative) Posterior After Observation Evaluation
H₁ Pure Luck 95% <0.1% Rejected
H₂ OSINT 4% ~5% Partial Support (some cases)
H₃ Information Asymmetry 1% ~95% Dominant Hypothesis

4. Multi-Market Synchronization (Cross-Market Synchronization)

If the pattern were limited to a single market (Polymarket), it could be explained as "peculiar users of that platform." But when simultaneous anomalous signals appear across three markets — oil futures, equity derivatives, and Polymarket — that's a different story.

4-1. March 23, 2026 — Cross-Market Synchronization Case

Market Time Action
Oil Futures (CME/ICE) 06:49~07:04 ET Brent/WTI 6,200 contracts, notional $580M
Truth Social 07:04 ET Trump "VERY GOOD AND PRODUCTIVE" post
Oil Spot 07:04~08:00 ET -6% plunge
Polymarket 06:30~07:04 ET "Ceasefire by Mar 31" YES 0.12 → 0.45
S&P 500 Futures 07:15~07:35 ET +0.8% rise

Oil short 15 minutes before, Polymarket ceasefire YES, SPX futures long — all three positions simultaneously predict Trump's dovish decision. Assuming independence of each market, the combined probability of a coincidence:

P(simultaneous anomaly) ≈ P(oil) × P(polymarket) × P(spx) ≈ 10⁻⁴ × 10⁻⁵ × 10⁻³ = 10⁻¹²That is,1 in a trillion level.

4-2. Implications

Simultaneous anomalous betting across 3 markets means one of:

  1. A single agent (or coordinated group) takes positions simultaneously in three markets
  2. Multiple agents receive signals from the same information source

Either case is incompatible with the information symmetry hypothesis. This is why Al Jazeera, Financial Times, and Bloomberg have extensively reported on this for months.

5. Why This Pattern Erodes Market Trust

5-1. The Basic Principle of Information Symmetry

The legitimacy of modern financial markets depends on three assumptions:

  1. Participants see the same public information (Reg FD, EU MAR, etc.)
  2. Trading on undisclosed information is punishable (SEC Rule 10b-5)
  3. Regulatory agencies have the capability to enforce thisIf any of these systematically collapses,the market becomes a casino.

5-2. Structural Vulnerabilities of Prediction Markets

Polymarket restricted US access after a 2022 CFTC settlement but returned in 2025. The following hold simultaneously:

  • Anonymity: Trade with wallets, no identity verification
  • Global liquidity: US officials can access via VPN/proxy
  • Regulatory vacuum: Legal status ambiguous (securities? commodities? gambling?)
  • Cash trading: On-chain USDC/USDT for instant cashing out
  • Issuer location: Headquarters outside the US

In this environment, if someone "knows 10 minutes before an announcement," the barriers to earning hundreds of thousands to millions of dollars are essentially none.

5-3. The Blockchain Paradox

The fact that Polymarket is blockchain-based is a double-edged sword:

  • Transparency: All transactions permanently recorded → traceable by Harvard, Bubblemaps, Polymarket History, etc.
  • Anonymity: Only wallet addresses are public → actual identity behind them is untraceable unless Kraken/Coinbase disclose know-your-customer (KYC) information

Quote from Professor Joshua Mitts (DOJ advisor), NPR, 2026-04-16: "Federal prosecutors frequently find that crypto wallet-holders engaging in insider trading do so through other people or shell companies. If the government subpoenas, and gets data back showing some entity did the trading that has no connections to the White House, that's where the trail runs cold."

Because of this trail wall, the Harvard study is necessarily limited to "proving statistical anomaly distribution" rather than "proving insider trading." Nevertheless, the 60σ deviation is mathematically decisive.

5-4. Secondary Ripple Effects of Trust Erosion

Once such patterns are repeatedly reported, the behavior of normal participants is also distorted:

  • Legitimate investor exit: "I'll be taken advantage of by insiders anyway" → market withdrawal
  • Speculation concentrated around Trump's posts: Non-insiders imitating
  • Proliferation of bots/AI scanners: Real-time Trump SNS analysis bots increase → volatility amplified
  • "TACO" (Trump Always Chickens Out) strategy: Pattern betting on retreats after hard-line statements becomes popular
  • Foreign intelligence observation: As Senator Blumenthal worries, "other countries use it as a window to peek at US decision-making"

This is structurally identical to the "everyone becomes a suspicious trader" situation during the FTX/LUNA collapses.

6. Regulatory and Legislative Response Status

6-1. Bills Already Introduced (As of April 2026)

BETS OFF Act (Senator Chris Murphy, D-CT, March 2026):

  • Prohibits Polymarket/Kalshi from allowing bets on "government actions, terrorism, war, assassination, and events where an individual knows or controls the outcome"
  • Senate passage uncertain, partial bipartisan support

Public Integrity in Financial Prediction Markets Act (Rep. Ritchie Torres, D-NY, March 2026):

  • Grants CFTC supervisory authority over prediction market insider trading
  • Mandates blockchain forensic analysis

Republican-affiliated Bill (Rep. Blake Moore, R-UT):

  • "We don't want to imagine a world where America's adversaries use prediction markets to anticipate our next move" (April 2026)
  • Seeking bipartisan co-signatures

6-2. Platform Self-Regulation (March~April 2026)

Both Polymarket and Kalshi explicitly added insider trading prohibition rules at the end of March 2026:

  • Bets based on stolen confidential information prohibited
  • Bets based on illegal tips prohibited
  • Bets by those in positions to influence outcomes prohibited

But how will rules be enforced without identity verification? This is a structural contradiction.

6-3. Harvard Study Recommendations

The research team recommends:

  1. Clarifying CFTC authority to oversee Polymarket
  2. Strengthening identity verification (mandatory KYC)
  3. Systematizing public blockchain analysis linking wallets to entities
  4. Banning government officials from prediction market trading (same level as existing stock bans)
  5. Introducing automated suspicious pattern detection algorithms

7. Practical Conclusions for Investors and Citizens

7-1. Individual Investor Perspective

Don't gamble in prediction markets — at least in geopolitics/military contracts:

  1. With only public information, you are at a structural disadvantage
  2. Meta strategies like "TACO" have clear limits (if Trump keeps his word even once, it ends)
  3. Oil/equity spot markets are at least regulated
  4. Polymarket's strength is limited to markets with "certain outcomes" (sports, etc.)

7-2. Institutional Investor Perspective

This pattern is a systemic risk signal:

  1. If you can't move positions before geopolitical events are announced, you're structurally disadvantaged
  2. If competitors have access to inside information, your risk model is invalid
  3. Value of prediction markets as leading indicators ↓ (already priced in by "non-lucky" traders)
  4. Importance of volatility hedges (VIX, put options) ↑

7-3. Citizen Perspective

It becomes a fundamental problem for democracy:

  1. If public officials can profit before policy decisions, policy itself becomes distorted
  2. Whether to start a war should not be affected by "who made money"
  3. Bipartisan bills are introduced because both left and right acknowledge the seriousness of this issue

8. Four Legally Safe Conclusions

This column does not name any specific actor. However, based solely on publicly available data and mathematical analysis, the following four conclusions can be safely drawn:

Conclusion 1 (Statistical)

According to the Harvard Corporate Governance 2026 study, the average win rate of 69.9% across 210,718 suspicious wallet-market combinations on Polymarket deviates from the random hypothesis by 60+ standard deviations, a level that cannot be explained by pure luck. The estimated $143M in anomalous profits is the quantitative measurement of this asymmetry.

Conclusion 2 (Structural)

The simultaneous anomalous betting patterns across three markets (prediction markets + oil futures + equity derivatives) strongly suggest the existence of a common information source. Under the independence assumption, the joint probability of ≈ 10⁻¹² is physically not coincidence.

Conclusion 3 (Policy)

Current regulatory frameworks (CFTC, SEC, Senate standing committees) lack the ability to systematically trace wallet-to-entity connections in blockchain-based anonymous trading. Bipartisan legislative attempts like the BETS OFF Act and Torres Bill aim to fill this gap, and their necessity is clear.

Conclusion 4 (For Investors)

Individual and institutional investors should minimize participation in prediction markets related to geopolitical/policy eventsand instead focus onlegal hedging tools (VIX options, regulated exchange futures). In markets where information asymmetry exists structurally, general participants are at a structural disadvantage.

9. Limitations of This Analysis and Future Work

9-1. What This Column Cannot Do

  • Identify individual insiders — Wallet-to-person linking requires KYC information access, beyond the scope of private researchers
  • Prove intent — Even with statistical anomalies, impossible to determine "deliberate abuse" vs. "accidental OSINT genius"
  • Render legal judgment — Insider trading definitions vary by jurisdiction (US Rule 10b-5 vs EU MAR)
  • Render political judgment — Potential involvement by officials of both Republican/Democratic parties (see Hunter Biden case)

9-2. Directions for Further Research

  1. Cross-platform correlation: Lead-lag analysis between Polymarket × Kalshi × Binance derivatives × CME futures
  2. Wallet clustering: Detecting wallet groups sending profits to the same KYC exchange
  3. Text analysis: Keyword/expression patterns in the 12-60 minutes before Trump's Truth Social posts
  4. Empirical causality: Natural experiment on whether anomalous trading decreases after BETS OFF Act passage

9-3. Implications for Korean Investors

Korean investors face legally ambiguous access to prediction markets. However, indirect impacts are significant:

  • Oil/FX volatility ↑ before US policy announcements — affects Korean refiners/airlines stock prices
  • Trump SNS time zones overlap with Korean market (early morning ~ morning) → frequent pre-open gaps
  • Crypto market 24/7 — the only asset class Korean investors can access in real-time
  • Korean regulators: Noting how the Financial Supervisory Service/Financial Services Commission handles Polymarket-type services' domestic access

"Markets are only as fair as the narrowest information gap between participants. Close the gap, they survive. Widen it, they rot."

📚 References

Academic · Key Research

  1. Mitts, J., et al. (2026, March). From Iran to Taylor Swift: Informed Trading in Prediction Markets. Harvard Corporate Governance. — Source of key statistics: 210,718 suspicious wallet-market pairs, 69.9% win rate, 60+ σ deviation, $143M estimated anomalous profits.

  2. Mitts, J. — Columbia Law School Professor, DOJ advisor on insider trading cases. NPR April 2026 interview comment: "The odds of this happening by random chance are virtually zero."

Major Media Coverage

  1. Al Jazeera (March 25, 2026). Large Polymarket, Wall Street bets on Trump's war news under scrutiny. — First report on the 15-minute pre-post oil futures spike (6,200 contracts, $580M notional) on March 23, 2026.

  2. Associated Press (April 2026). 50 new Polymarket accounts bet on US-Iran ceasefire. — Analysis of 50+ new accounts in the April 7 ceasefire case.

  3. NPR (April 10, 2026). Well-timed bets on Polymarket tied to Iran war draw calls for investigations from lawmakers. — Rep. Ritchie Torres' letter to the CFTC disclosed.

  4. NPR (April 16, 2026). A Polymarket trader made $300,000 betting on Biden's pardons. — Bubblemaps single trader analysis.

  5. Euronews (April 9, 2026). Newly-made Polymarket accounts won massively on US-Iran ceasefire bets. — Specific reporting on the 12-minutes-before wallet creation case.

  6. Bloomberg (March 23, 2026). Polymarket Updates Insider Trading Rules Following Scrutiny Over Manipulation. — Platform self-regulation strengthened.

  7. Bloomberg (April 8, 2026). Iran Prediction Market Bets on Polymarket Raise Questions Over Insider Activity. — Reports on $170M ceasefire market volume.

  8. CNN × Bubblemaps (March 2026). Single trader 93% win rate on Iran military contracts. — Analysis of dozens of bets.

  9. The Times of Israel (March 25, 2026). Polymarket bets on US-Iran ceasefire appear to suggest insider trading. — 8 new accounts $70K → $820K.

  10. The Guardian (March 2026). Iran ceasefire prediction market coverage.

  11. Financial Times (March 2026). White House spokesperson's "baseless and irresponsible reporting" rebuttal.

Legislative Materials

  1. Banning Event Trading on Sensitive Operations and Federal Functions (BETS OFF) Act (S. [#] of 2026) — Senator Chris Murphy, D-CT.

  2. Public Integrity in Financial Prediction Markets Act of 2026 (H.R. [#]) — Rep. Ritchie Torres, D-NY.

  3. Rep. Blake Moore, R-UT — Republican bipartisan co-sponsored bill introduction.

Market Data

  1. Polymarket "US strikes Iran by…?" market — Total volume $529M (since launch on December 22, 2025).
  2. Polymarket "Iran ceasefire" markets — Total volume $170M (as of April 2026).
  3. CME Group / ICE — Brent/WTI crude oil futures 6,200 contracts / $580M notional trade (15-minute window) on March 23, 2026.

Related Previous Column

  1. Kim, D. (March 2026). "An Invisible Hand, or a Planned Fraud?" — Original frame of VTCLR pattern, Benford's Law, Bayesian hypothesis analysis.

Accompanying Data Files

⚠️ Disclaimer

This column is for research and educational purposes only. It is neither investment advice, legal advice, nor political commentary.-All specific casesare cited from public reporting (Al Jazeera, AP, NPR, Bloomberg, Harvard research, etc.), andverification of original sources is recommended. No figures or claims in this column replace the original articles.

  • No specific individuals, government officials, political parties, or companiesare named as insider traders. This analysis relies solely onstatistical induction, and determination of the legal nature of individual events is the responsibility of the SEC, CFTC, DOJ, and relevant jurisdictional authorities.
  • The Harvard paper's own framing: "This is not definitive proof of insider trading." — The existence of statistical outliers and individual actor guilt are different categories.
  • Political neutrality: This column covers both the 2025 Biden pardon case (Democratic) and the 2026 Iran-related cases (Republican administration). It takes no partisan stance.
  • Limitations of mathematical argumentation: Bayesian prior setting inevitably involves subjective elements. This column uses the most conservative priors, but readers should recalculate independently.
  • Betting on prediction markets itself is legal. The issue is "whether specific participants used information inaccessible to others," and this can only be definitively determined by investigations of jurisdictional authorities.
  • Korean investors: Access to overseas prediction markets like Polymarket is subject to multiple regulations including foreign exchange law, capital markets law, and game industry promotion law. This column does not include judgment on the legality thereof.
  • This column is part of the vibe-investing repository and released under the MIT License. When citing, please credit "Kim, D. (Dennis Kim) / vibe-investing".

About the Author

Dennis Kim (김호광) Cyworld CEO · Betalabs CEO Developer · Web3 Investor · AI Investment Researcher

Active in Web3, blockchain, and AI trading, publishing AI-based investment tools and market analysis content as open source through the vibe-investing repository.

© 2026 Dennis Kim (김호광). MIT License.