Self-Directed Insider Trading: How He Manipulated Prediction Markets to Pay for His Bugatti?

比推Publicado em 2026-03-11Última atualização em 2026-03-11

Resumo

A prominent X user, @Euanker, has accused former kickboxing champion Andrew Tate of orchestrating an elaborate insider trading scheme on the prediction market platform Polymarket. The allegations claim that Tate controlled at least seven accounts to profit from markets predicting his own weekly tweet activity, earning a total of $52,286. On-chain evidence reveals a consistent funding path: deposits from exchanges like Duelbits and Bybit were bridged via a specific address, then used to place bets on Polymarket. Profits were ultimately funneled to a Gnosis Safe wallet controlled by Tate, which holds over $1.3 million in assets. The betting patterns closely aligned with Tate’s actual tweet activity, indicating manipulation. Andrew Tate, a controversial influencer known for his luxury lifestyle and previous involvement in meme coin promotions, is alleged to have used this scheme to fund expenses like his rented Bugatti. The incident highlights significant regulatory gaps in prediction markets, where outcomes controlled by a single individual create inherent insider risks. Polymarket, which approves all markets on its platform, faces scrutiny over its lack of safeguards against such manipulation.

Author: Ma He, Foresight News

Original Title: Funding a Bugatti with Polymarket? Someone is Playing 'Self-Directed' Insider Trading

On March 10, X user @Euanker posted an exposé alleging that renowned combat sports champion Andrew Tate was involved in insider trading on Polymarket, profiting by manipulating markets related to the quantity of his personal tweets. Euanker pointed out that Tate created and controlled at least 7 Polymarket accounts, accumulating profits of $52,286 across six 'Weekly Tweet Count Prediction' markets. These markets essentially depend on Tate's own actions, with the exposé bluntly stating his aim was to 'raise funds for a rented Bugatti sports car.'

Interestingly, this exposé included detailed on-chain evidence and profit charts, allowing us a glimpse into the specifics of this insider trading.

Detailed Explanation of On-Chain Address Records: Identical Deposit Paths

The evidence provided by Euanker shows that the 7 Polymarket accounts (@Tornados, @eterboh5, @Mellisacars, @AntonFuar, @wondernot, @Lindayko, @Counteryeg) were highly consistent in their deposit exchanges, fund paths, and betting habits. The first 5 accounts have been fully linked through on-chain transactions, with the subsequent 2 also showing the same pattern.

The core tracking starts with the @Counteryeg account.


Its fund flow points to the bridging address 0xdae2844d5b3070aafb3638b80fa17e562d840dde. This address frequently conducted cross-chain transfers of USDC and USDC.e in the past week, primarily involving the Polygon and Ethereum networks. These funds were then transferred to the intermediary address 0x9D950Fb9D5F37a128bA0d4B82844DE96697fD83d.

Data from Arkham Intelligence for this address shows that in the past week, it received large USDC deposits from exchanges like Duelbits (a gambling platform), Changelly, and Bybit, accounting for 20%, 42%, and 26% respectively. Typical transactions include a 4000 USDC deposit from Duelbits, a 5700 USDC bridge withdrawal, and multiple transfers of 2500~6000 USDC to the upstream bridging address. The cumulative transaction volume of the address shows that the stablecoin flow rhythm highly coincides with Polymarket betting windows, presenting a unified pattern of 'large deposit first, precise betting second, profit aggregation after'.

The final fund chain points to a Gnosis Safe multi-signature address (confirmed by the exposé and transaction graph as belonging to Tate). Arkham records show this Safe holds over $1.3 million in assets, with recent large USDT/USDC withdrawal operations.

The entire chain forms a closed loop: exchange deposit → bridging address transfer → Polymarket betting → profit aggregation to Tate's controlled Gnosis Safe.

The fund flow chart attached by Euanker clearly marks the Polymarket icon and the Gnosis Safe endpoint. A profit chart of the 7 accounts further corroborates, showing a rapid climb from an initial loss of $5,203 on February 22 to a cumulative peak of $52,286 on March 10, with multiple instances synchronized with Tate's public tweet timings. This level of consistency far exceeds coincidence. The identical combination of exchanges, same USDC bridging scale, and operational patterns precisely matching market settlement times constitute the core on-chain basis for the exposé's insider trading allegations.

From Luxury Cars and Mansions to Meme Coins, Fans Become Tools for Monetizing Influence

Andrew Tate (full name Emory Andrew Tate III), born in 1986, is a public figure, businessman, and former professional fighter with dual US and UK citizenship. Tate began his professional kickboxing career in 2005, winning multiple championships in the late 2000s to early 2010s, including the ISKA British Full-Contact Cruiserweight Championship (2009) and the ISKA World Championship (2011), claiming to be a four-time world champion. He is about 1.91 meters tall, with the nicknames 'Cobra Tate' or 'Top G'.

Andrew Tate has long presented a luxurious lifestyle; his名下 (owned) or rented multiple Bugatti sports cars and numerous mansions have long been the core of his personal brand. The term 'rented Bugatti' in the exposé恰好吻合 (perfectly matches) Tate's publicly flaunted pattern of luxury consumption.

He has repeatedly showcased high-end assets on social platforms, using this to reinforce his 'alpha male' persona and attract young male fans globally. After retiring, he shifted to online business and content creation, launching paid course platforms (like Hustler's University and War Room), teaching topics like wealth building, entrepreneurship, and mindset training, primarily attracting young male audiences.

Starting in 2022, he and his brother Tristan were arrested in Romania, facing charges of human trafficking, rape, and forming a criminal organization (related to recruiting women using the 'loverboy' method to produce adult content); the case is still ongoing. After the Romanian travel ban was lifted in late 2025, the two returned to the US. Currently, he also faces a UK civil lawsuit (four women alleging sexual violence and coercion), which has been moved up to Summer 2026. He denies all criminal and civil charges, calling them a political witch hunt against him.

Upon entering the crypto space, Tate further monetized his influence. He has issued multiple meme coins, the most representative being the DADDY series directly tied to his personal IP, achieving rapid monetization through fan-driven hype. Bubblemaps exposed that he had promoted over 10 shitcoins within 24 hours; after Bubblemaps revealed the insider information about DADDY token supply, Andrew subsequently blocked Bubblemaps.

These operations form a complete闭环 (closed loop) with this Polymarket incident: first, gather traffic with controversial statements and lifestyle, then directly extract funds from fans' wallets through prediction markets or meme coins. Whether it's luxury cars and mansions or meme coin issuance, the essence is the same monetization logic—converting personal fame into quantifiable cash flow.

This exposé once again reminds the crypto industry that prediction markets and the meme coin ecosystem under celebrity influence still have significant governance gaps. This incident points directly to structural deficiencies in Polymarket's market creation review process. For example, markets like 'Andrew Tate's Weekly Tweet Count' are created without effective门槛 (thresholds) to verify whether the market has objectivity or is susceptible to manipulation risk. The core value of prediction markets lies in aggregating分散 (dispersed) information for price discovery, but when the subject is entirely controlled by a single entity, information asymmetry is放大至极端 (amplified to an extreme). Tate could simply adjust his tweet frequency to influence market outcomes, while retail investors bet based on public information, unaware of the internal manipulation.

Previously, the author wrote an article titled 'He Made $300,000 Counting Musk's Tweets'. The prediction market tracked Elon Musk's tweet count; Musk himself is the world's richest man, a hard tech entrepreneur with no motive to profit from insider trading, while Andrew Tate might not be. Polymarket currently does not allow any individual user to directly create prediction markets. All markets are ultimately created by Polymarket's market team. If Polymarket does not strengthen market审查 (review), similar allegations are likely to continue to发酵 (ferment).

Twitter:https://twitter.com/BitpushNewsCN

Bitpush TG Discussion Group:https://t.me/BitPushCommunity

Bitpush TG Subscription: https://t.me/bitpush

Original article link:https://www.bitpush.news/articles/7618832

Perguntas relacionadas

QWhat is Andrew Tate accused of doing on Polymarket according to the article?

AAndrew Tate is accused of engaging in insider trading on Polymarket by manipulating prediction markets related to the number of his own tweets. He allegedly controlled at least 7 Polymarket accounts to profit from these markets, earning a total of $52,286.

QHow did the exposé by user @Euanker provide evidence of Tate's alleged manipulation?

A@Euanker provided detailed on-chain evidence and profit charts showing that the 7 Polymarket accounts had identical deposit paths, funding sources from exchanges like Duelbits and Bybit, and a unified pattern of fund flow that ultimately led to a Gnosis Safe wallet controlled by Tate.

QWhat is the significance of the 'weekly tweet count prediction' markets in this case?

AThe 'weekly tweet count prediction' markets were significant because they were based entirely on Andrew Tate's own behavior, allowing him to manipulate the outcome by controlling the number of tweets he posted, thus creating an unfair advantage and profiting from insider knowledge.

QHow does this incident highlight a potential issue with Polymarket's governance?

AThe incident exposes a structural weakness in Polymarket's market creation and review process, as markets dependent on a single individual's actions lack objectivity and are susceptible to manipulation, undermining the platform's core purpose of price discovery through dispersed information.

QWhat other methods has Andrew Tate used to monetize his influence, as mentioned in the article?

AAndrew Tate has monetized his influence through luxury lifestyle branding, paid online courses like Hustler's University, and by promoting and issuing meme coins such as the DADDY series, leveraging his fan base for financial gain.

Leituras Relacionadas

Annual Salary of Millions Competing for Electricians, Meta Rushes to Open Its Own Technical School

The AI boom is facing an unexpected bottleneck: a severe shortage of skilled construction workers and electricians. As tech giants like Meta, OpenAI, and Alphabet race to build massive data centers—such as OpenAI's $16 billion "Stargate" project—they are hitting a critical labor wall. The U.S. needs an estimated 130,000 more electricians, 240,000 construction workers, and 150,000 supervisors by 2030 for AI infrastructure alone, but tens of thousands of electrician jobs go unfilled each year. While AI companies offer high premiums, with electricians earning up to $280,000 annually, worker scarcity still causes massive losses—delays on a single project can cost $14.2 million per month. The complexity of building AI data centers, which require immense power (equivalent to powering hundreds of thousands of homes), sophisticated electrical systems, and advanced liquid cooling solutions, demands highly skilled technicians who are in short supply. To combat this, companies are investing heavily in training. Meta has committed $115 million to a free training school offering tuition, housing, and stipends, targeting 5,000 new workers. OpenAI is partnering with unions to secure skilled labor. These efforts are paying off, with a significant rise in Gen Z interest in trade schools over college. However, the power demands are staggering. AI data centers are driving a rapid surge in electricity consumption, projected to account for up to 12% of U.S. power use by 2028 and raising costs for consumers. Furthermore, the construction boom is project-based, leading to a potential future glut of trained workers once building peaks, which could depress wages industry-wide. The race for AI supremacy now depends as much on skilled hands as on advanced chips.

marsbitHá 55m

Annual Salary of Millions Competing for Electricians, Meta Rushes to Open Its Own Technical School

marsbitHá 55m

OpenAI No Longer Sells Its Most Expensive Model for Profit

OpenAI is shifting its business strategy away from promoting its most expensive, flagship models for every task. Recent price cuts—80% for GPT-5.6 Luna and 20% for Terra—signal a deeper change: the company now actively advises users that many tasks don't require the most powerful model. Instead, OpenAI recommends a tiered approach: use the high-end GPT-5.6 Sol for complex planning and analysis, then delegate execution to cheaper models like Luna. This mirrors moves by Anthropic, which recently launched Claude Opus 5 at half the price of its top model, Fable 5. Both companies are de-emphasizing flagship models as primary revenue drivers, using them instead for brand prestige and technological showcases. The industry is entering a "mass-market" phase, similar to automotive, where high-volume, cost-effective models handle daily operations and drive scale. OpenAI's price reductions are partly enabled by AI models themselves optimizing underlying code and infrastructure, creating a self-reinforcing cycle of efficiency gains and cost reduction. Competition is shifting from "who is smartest" to "who offers the best value." The goal is no longer selling individual models but fostering widespread API adoption and ecosystem lock-in. By making AI calls cheap and ubiquitous, companies like OpenAI aim to become the indispensable, utility-like infrastructure powering automated workflows—the "water and electricity" of software, quietly embedded everywhere.

marsbitHá 55m

OpenAI No Longer Sells Its Most Expensive Model for Profit

marsbitHá 55m

Suspected 4th Coldcard attack wave sweeps 389 Bitcoin: Galaxy’s Thorn

Coldcard hardware wallet users are facing a new wave of coordinated attacks targeting a firmware flaw, with researcher Alex Thorn flagging 218 recent transactions moving approximately 389 Bitcoin from potentially impacted addresses. The attack pattern shows a high rate of transactions targeting unique victim addresses, differing from previous waves. The vulnerability, which causes affected devices to generate weaker wallet seeds, is estimated to have impacted over 1,100 wallets, leading to around $90 million in Bitcoin stolen. Thorn advises affected users who control their keys may attempt to move funds with a higher-fee transaction before the attacker's transactions are confirmed.

cointelegraphHá 1h

Suspected 4th Coldcard attack wave sweeps 389 Bitcoin: Galaxy’s Thorn

cointelegraphHá 1h

Bitcoin Miners Are Waving the White Flag, But Their Stocks Are Soaring

Bitcoin miners are capitulating as evidenced by a sustained drop in network hash rate and a record-steep 19.9% decline in mining difficulty, signaling the shuttering of unprofitable machines. However, in a significant divergence from historical patterns, the stocks of publicly traded mining companies have soared, with one major player gaining over 430% in the past year, even as BTC's price fell roughly 46%. This surge is largely attributed to these companies pivoting toward the more lucrative AI narrative. Simultaneously, miners face a structural squeeze. Daily block reward revenue in BTC terms has hit a new all-time low following the latest halving, with current dollar-denominated daily revenue around $30 million compared to a longer-term average of ~$40 million. Fee revenue remains negligible, covering less than one block's subsidy over a 28-day average and accounting for only about ten minutes of the network's daily security budget. This capitulation cycle is unique: miner stress and crypto price weakness have decoupled due to alternative revenue streams (AI), while the long-term reliance on increasing bitcoin prices to offset shrinking subsidies continues, with fee income still far from filling the impending gap.

marsbitHá 1h

Bitcoin Miners Are Waving the White Flag, But Their Stocks Are Soaring

marsbitHá 1h

Will the Fed Definitely Raise Interest Rates in September? How Will Crypto and U.S. Stocks Withstand the Pressure?

The market's expectation for a September Fed rate hike surged dramatically in early August, jumping from under 50% to over 80% within a week. This shift followed a contentious July FOMC meeting, where a 9-3 vote to hold rates revealed growing dissent from hawkish members advocating for an immediate hike to combat persistent inflation. The primary catalyst for this repricing is rising oil prices, driven by renewed geopolitical tensions around the Strait of Hormuz, which threaten global supply. Energy costs directly influence inflation metrics, making the upcoming July CPI report (due August 12th) a critical data point. If it shows inflation reaccelerating, the probability of a September hike will solidify. For Bitcoin and crypto assets, this is typically bearish news. Bitcoin continues to behave as a high-beta, liquidity-sensitive risk asset. A rate hike raises the opportunity cost of holding non-yielding assets and could drive capital toward money markets, pressuring crypto prices in the short term. However, historical patterns suggest that if a hike is perceived as the end of a tightening cycle rather than the start, any negative price impact may be brief. U.S. stocks, particularly crypto-linked equities like Coinbase and growth-oriented tech stocks, are also vulnerable. Higher rates increase discount rates in valuation models, putting pressure on high-multiple companies. This coincides with a pivotal tech earnings season where investor focus has shifted from massive AI capital expenditure to tangible revenue and cash flow generation. Companies with negative cash flow and weak growth narratives could face heightened volatility if borrowing costs rise in September. In summary, a September Fed hike has evolved into a mainstream market scenario. Key factors to watch are oil prices, the July CPI report, and Fed communications, which will determine the final decision and its impact on volatile crypto and equity markets.

marsbitHá 1h

Will the Fed Definitely Raise Interest Rates in September? How Will Crypto and U.S. Stocks Withstand the Pressure?

marsbitHá 1h

Trading

Spot
活动图片

Categorias popularesright-arrow

Etiquetas Popularesright-arrow