When War Is Settled Before the News: How Prediction Markets 'Priced' Maduro's Capture Six Days in Advance

Odaily星球日报Published on 2026-01-04Last updated on 2026-01-04

Abstract

"Prediction markets, particularly Polymarket, demonstrated their ability to forecast major geopolitical events ahead of official announcements, as illustrated by the fictional yet plausible account of insider trading prior to the U.S. military operation that captured Venezuelan President Maduro in early January 2026. According to the article, several anonymous accounts on Polymarket placed large bets days before the actual event, with one address initiating trades as early as December 27, 2025—six days before the operation occurred. These insiders, likely individuals with access to classified U.S. government or military intelligence, collectively profited over $630,000. The piece highlights how Polymarket’s structure—anonymous, non-KYC, and crypto-settled—enables such trades with minimal risk of exposure. While prediction markets can serve as decentralized early-warning systems for the public, they also raise serious concerns about national security and insider trading. The incident may prompt stricter U.S. regulatory measures, such as the proposed 'Predictive Markets Integrity Act,' aimed at preventing officials from trading on non-public information. The tension between market transparency and state secrecy underscores a growing challenge: when prediction markets outpace official narratives, they risk disrupting traditional information control and operational security."

Original | Odaily Planet Daily (@OdailyChina)

Author | Golem (@web3_golem)

A Short Story Before the Arrest of Venezuela's President...

Eastern Time, January 1, 2026. After experiencing assassination attempts, cryptocurrency launches, tariff trade wars, and other troubles, Trump had relatively smoothly survived the first year of his presidency. But he had no time to celebrate. At that moment, he was conspiring with several key White House officials and military generals at Mar-a-Lago in Florida, planning a military operation that would shock the world.

They were refining the action details in a secret, highly soundproofed room. The atmosphere was tense. Feeling thirsty, Trump pressed the Coke button on the table, wanting an iced Coke. A waiter, passing through layers of Secret Service guards, brought the still-fizzing Coke to Trump's side. "There must be no mistakes in tomorrow's operation against Maduro," Trump muttered.

Those who long serve political elites know when to play deaf and dumb to avoid trouble they can't handle. But clearly, this "Coke Kid" was willing to take the risk.

That night, the waiter, "Coke Kid," opened Polymarket, the world's largest prediction market, and registered an account. He didn't understand the crypto industry, but he knew this platform had accurately predicted Trump would become the 47th U.S. president last year. He then bought "yes" on multiple related predictions, including "The U.S. will invade Venezuela before January 31, 2026." The probability was only 6% at the time. He invested his entire month's salary.

Eastern Time, January 2, 2026, 22:46. Trump gave the order for the raid. Over 150 fighter jets took off from 20 bases, conducting a low-altitude surprise attack on the Venezuelan coast.

Eastern Time, January 3, 1:01 AM. U.S. forces breached Venezuela's air defense system. U.S. Delta Force ground troops reached Maduro's residence, broke through the steel doors, exchanged fire, subdued Maduro and his wife, and immediately evacuated. There were no U.S. casualties. Two hours later, the Maduros were taken to the USS Iwo Jima and subsequently transferred to New York.

The capture operation of a sovereign nation's president ended within 5 hours. Trump watched the entire operation unfold from Mar-a-Lago.

Eastern Time, January 3, 4:30 AM. Trump announced on Truth Social that the President of Venezuela and his wife had been captured and removed from the country.

Simultaneously, predictions on Polymarket regarding "Maduro's ouster timing" and "Trump's military action against Venezuela timing" were swiftly settled. The "Coke Kid" had already resigned on January 2. With his early bet, he had secured his first pot of gold...

(P.S.: This story is purely fictional. If any director wants to make a movie based on this, I am willing to provide this script free of charge.)

Insiders Knew About the U.S. Military Operation 6 Days Earlier

Although the above plot smells strongly of fast-food fiction like "Rebirth: I Was a Waiter at Mar-a-Lago," it might not be entirely false. The "Coke Kid" is pure fiction, but the capture of Venezuelan President Maduro by U.S. forces is real, and it's highly likely that "insiders" placed early bets on Polymarket.

According to Lookonchain monitoring, before Trump announced Maduro's capture, three insider addresses on Polymarket suddenly bet on his ouster, collectively profiting $630,400. Without exception, these were created and funded just days before the event. Among them, address 0x31a5 (0x31a5...8eD9) invested $34,000, profiting $409,900; address 0xa72D (0xa72D...eBd4) invested $5,800, profiting $75,000; address SBet365 invested $25,000, profiting $145,600.

The most impressive among these three addresses was 0x31a5 (0x31a5...8eD9). The U.S. military operation to capture Maduro occurred at 1:00 AM ET on January 3. The media and other countries first learned this news at 4:30 AM ET on January 3, when Trump announced the operation's completion on Truth Social.

But this insider at address 0x31a5 (0x31a5...8eD9) first bet "Maduro will step down before January 31, 2026" at 7:20 PM ET on December 30, 2025. He even bet "U.S. troops will enter Venezuela before January 31, 2026" as early as December 27.

0x31a5 (0x31a5...8eD9) betting before the actual U.S. military action

This means insiders knew about the U.S. military operation 6 days in advance and began building positions on Polymarket. Obtaining the行动计划 (action plan) of the world's most powerful armed forces—the U.S. military—so far in advance is something likely no hacker or national intelligence agency could achieve, but Polymarket did.

It didn't use any surveillance手段 (means); it merely opened an express lane for human greed. Undoubtedly, this insider must be close to U.S. political leaders or senior military officers, or perhaps holds a high position themselves (Surely it couldn't be a U.S. soldier involved in the action, placing orders while fighting?).

More importantly, the actors hardly need worry about exposure. Polymarket is structurally endowed with anonymity advantages: no KYC, near-zero account creation cost, sufficient liquidity, and crypto settlement ensuring privacy. Under these conditions, piercing the address and confirming the true identity afterwards is highly difficult.

So when the participation cost is driven extremely low, and the potential回报 (return) is extremely high, it's no longer a moral issue but an incentive design problem. Faced with such a mechanism, even outwardly respectable,正义立场 (righteous-standing) politicians can hardly guarantee they will never cross that line.

Predicting Truth or Rejecting Insider Trading

But let's consider another possibility: if the Venezuelan government had monitored the abnormal buying activity on Polymarket in advance, would things have turned out differently? (This isn't hard, as the insider betting was quite obvious—large buys in a low-probability market. Targeted monitoring would likely have detected anomalies.)

Then, perhaps the Venezuelan government would have become alert before the U.S. action. To be safe, Maduro might have moved to a more impregnable underground bunker earlier; or提前整顿军队 (prepared the troops in advance) to ready for battle (Odaily Note: During the action, half of Venezuela's army was松懈 (relaxed) due to Christmas holidays), then the U.S. might not have had zero casualties but instead suffered heavy流血事件 (bloodshed); at the very least, Venezuela could have sought support from other countries earlier or publicly stated the possible U.S. action at the UN to politically constrain them.

Of course, these assumptions are very rough, and this event might truly be a coincidence. But the fact remains: "Probability changes on Polymarket for major political events consistently precede mainstream information release."

Once this pattern is repeatedly verified, the price signals of prediction markets cease to be just trading outcomes and begin to be seen by the outside world as a reference indicator. Their role may gradually resemble the Pentagon's "Pizza Index"—an informal yet highly sensitive risk thermometer.

This is certainly not what U.S. authorities want to see.

Previously, U.S. Representative Ritchie Torres planned to propose the "Predictive Markets Public Integrity Act of 2026," aimed at establishing restrictive rules for potential "insider trading" in prediction markets. The bill intends to prohibit federally elected officials, political appointees, and executive branch employees from trading prediction market contracts related to government policy or political outcomes if they possess or can reasonably access material non-public information in the course of their duties.

Following the exposure of the Polymarket insider event regarding Maduro, this bill might receive high-level attention from the U.S. government. Kalshi's PR account promptly responded, stating its platform rules explicitly prohibit any activity based on material non-public information.

Kalshi can guarantee this because it was built from the start on compliance principles, with very high KYC requirements for users. If insider trading occurred, Kalshi could immediately identify the user and even freeze funds.

Polymarket naturally became a haven for these insiders. To some extent, insider trading and Polymarket mutually benefit each other. Polymarket provides a safe house for insiders to make money, and insider trading brings Polymarket more trading volume and notoriety.

Many of Polymarket's breakout moments occurred because it revealed the truth earlier than traditional media. This isn't because Polymarket players are brilliantly clever, but because a minority guides the probability. Ideally, prediction markets reflect the wisdom of the crowd, but in reality, they are just a playground for insiders.

For most ordinary people, this might not be a bad thing. Using prediction markets like Polymarket, people can sense the direction of certain events earlier, reducing被动承受 (passive承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受承受极) of sudden news, no longer完全受制于 (completely subject to) emotional public opinion and滞后 (lagging) media narratives. In outcome, this反而像 (instead resembles) a form of informational "decentralization."

But for those at the pyramid's顶端 (apex), the situation is恰恰相反 (precisely the opposite). For a long time, "who knows what and when" has itself been an order. The truth isn't不可公开 (not for public release); it needs to be released at the right time and in the right concentration. Anyone trying to打破这一节奏 (break this rhythm) is seen as challenging the established rules.

Therefore, Polymarket might kick the iron plate of U.S. regulation again. In 2024, Polymarket's founder had his New York home raided by the FBI—the tensest confrontation between Polymarket and the U.S. government. Now, Polymarket has returned to the U.S. market and obtained CFTC approval, suggesting relations have thawed.

But涉及 (involving) high-level classified military or security matters like the Maduro capture operation, any form of提前外泄 (pre-leakage) of information is unacceptable to the U.S. government. And currently,正值 (it is precisely when) prediction markets are trying to achieve regulatory positioning and争取 (strive for) institutional space. The emergence of such events, even if ultimately deemed coincidental, will be interpreted as a potential threat at the regulatory level.

Prediction markets face not just technical compliance issues, but whether they are unintentionally侵入 (intruding into) the sensitive boundaries of traditional information security and national governance.

If prediction no longer leads the truth, what does it have left? This question cannot be avoided in the future.

Related Questions

QWhat is the main subject of the fictional story at the beginning of the article?

AThe main subject is a fictional story about a waiter ('Coke Boy') at Mar-a-Lago who overhears President Trump planning a military operation to capture Venezuelan President Maduro. The waiter uses this insider information to place successful bets on the prediction market Polymarket before the news becomes public.

QAccording to the article, what evidence suggests that the prediction market Polymarket had insider trading related to the Maduro operation?

AThe article cites on-chain analysis from Lookonchain, which identified three insider addresses on Polymarket that placed bets on Maduro's ouster just days before the actual event. One address (0x31a5...8eD9) placed its first bet on 'Maduro will step down by January 31, 2026' on December 30, 2025, and even earlier on December 27 for 'US troops will enter Venezuela by January 31, 2026', six days before the military action occurred.

QWhat potential consequence does the article suggest if the government of Venezuela had monitored the Polymarket activity?

AThe article suggests that if the government of Venezuela had monitored the unusual buying activity on Polymarket, it might have been alerted to the potential threat. This could have led President Maduro to move to a more secure location, put the military on higher alert (preventing them from being caught off-guard during the Christmas holiday), or seek international support to politically constrain the U.S., potentially leading to a bloodier conflict.

QHow does the article describe the fundamental conflict that prediction markets like Polymarket create for governments?

AThe article states that for governments and elite groups, the control over 'who knows what and when' is a fundamental part of the established order. Truth is meant to be released at an appropriate time and in a controlled manner. Prediction markets, by allowing insider information to be monetized and revealed early through price movements, challenge this control and invade the 'sensitive boundaries of traditional information security and national governance.'

QWhat regulatory response to prediction market insider trading is mentioned in the article?

AThe article mentions that U.S. Representative Ritchie Torres plans to introduce the 'Predictive Markets Integrity Act of 2026.' This bill aims to prohibit federal officials, political appointees, and executive branch employees from trading on prediction market contracts related to government policy or political outcomes if they possess or have access to material non-public information through their official duties.

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marsbit16m ago

Saylor's Purchase of 1550 Bitcoin Is a Bad Trade

**Title: Saylor's Purchase of 1,550 Bitcoins Was a Bad Trade** The article critically analyzes Strategy's recent move of selling 32 bitcoins followed by a much larger purchase of 1,550 bitcoins. While appearing bullish, the author argues this trade is detrimental to MSTR shareholders. The core argument revolves around the concept of "breakeven modified Net Asset Value (mNAV)," a key metric for Strategy. To increase Bitcoin per share (BPS) for MSTR holders, Strategy must issue new shares at a premium high enough that the funds raised can buy more bitcoin than the bitcoin backing each existing share. Currently, this breakeven mNAV is estimated at 1.30. The recent trade failed on two counts: 1. The shares for the $181 million raise were issued at an mNAV *below* the 1.30 breakeven point. Selling "cheap" shares to buy bitcoin actually *reduces* BPS. 2. Only $101.3 million of the raised funds were used to buy bitcoin; the rest went to boost the company's dollar reserves. The breakeven mNAV calculation assumes *100%* of proceeds are used for bitcoin purchases. Diverting funds, even if mNAV were high, dilutes BPS. The result is an estimated 0.19% decrease in Bitcoin per share for MSTR holders. In exchange, Strategy merely extended its operational runway for its dollar reserves from ~6.3 months to 7 months. The author interprets this as Strategy prioritizing the survival and development of its STRC business over its stated core goal of increasing MSTR's BPS. This constitutes a gamble: if sacrificing MSTR value leads to improved market sentiment and a recovery in STRC's price (and thus mNAV), the whole system could work. If not, Strategy may be forced into a cycle of further diluting MSTR to stay afloat, potentially leading to deferred STRC dividends or corporate decline. The article concludes with a hope for price recovery for Bitcoin, MSTR, and STRC.

Foresight News27m ago

Saylor's Purchase of 1550 Bitcoin Is a Bad Trade

Foresight News27m ago

The AI Bear Market Lasting Two Days Is Over; Why Did Funds Buy Back Storage Stocks First?

After a severe two-day selloff in early June that erased over $1 trillion from U.S. chip stock market value, capital is flowing back first to the memory sector. The correction was not driven by a collapse in AI demand but rather a market reassessment of high expectations. Stocks like Broadcom faced selling pressure despite strong AI revenue guidance, signaling a shift in focus from who has an "AI story" to who can most rapidly translate AI demand into verifiable profits and earnings per share (EPS). Memory companies, such as Micron and SK Hynix, are leading the recovery because their EPS growth is more immediately verifiable. The AI server boom directly increases demand for high-bandwidth memory (HBM) and high-capacity server DRAM, tightening supply and driving up contract prices for conventional DRAM and NAND Flash. This price increase, coupled with a shift to higher-margin products, flows directly into near-term revenue and profitability, as evidenced in recent earnings reports. In contrast, other AI semiconductor segments like GPUs, ASICs, and optical modules, while central to the long-term AI infrastructure story, face longer and less certain paths to EPS validation. Their growth depends more on future product cycles, customer adoption timelines, and capital expenditure plans. The rebound in memory stocks highlights a market preference for assets with shorter, more transparent EPS conversion cycles following the recent de-risking phase. However, this does not negate the potential of other AI hardware segments should they provide clearer near-term order visibility. The episode has raised the validation bar for all AI-related investments.

marsbit27m ago

The AI Bear Market Lasting Two Days Is Over; Why Did Funds Buy Back Storage Stocks First?

marsbit27m ago

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