Behind Solana’s celebrity tokens: a feast for project owners and insider trading

The article exposes the manipulative mechanisms behind celebrity tokens on the Solana blockchain, revealing how project owners and insider traders exploit the Meteora platform's features to harvest wealth systematically. Here's a breakdown:

  • Celebrity Token Boom: Tokens like $TRUMP, $MELANIA, and $LIBRA gained traction due to celebrity endorsements, but their high FDV, volatile prices, and inflated trading volumes mask a coordinated wealth extraction scheme.

  • Meteora Platform Abuse: The platform's DLMM model, designed for efficient liquidity management, is manipulated to create one-sided liquidity pools, enabling project owners to preset sell orders and profit from zero-slippage trades.

  • Insider Trading Tactics: Traders with advance knowledge of contract addresses and pool setups (e.g., $LIBRA, $ENRON) execute precise, high-volume transactions at launch, earning millions within minutes. For example, one trader made $17 million by dumping tokens across sub-accounts.

  • Profit Mechanisms:

    • Project owners earn millions in fees by adding unilateral liquidity.
    • Sniper traders use automated strategies to sell tokens in bulk, capitalizing on initial hype before converting profits to stablecoins.
  • Market Consequences: These practices drain liquidity and erode investor trust, with similar patterns observed across multiple tokens. The article warns investors against falling for the "celebrity + Meteora + big trucks" trap.

Summary

Original author: @m7_research

Recently, with Trump issuing $TRUMP on the Solana chain, a wave of celebrity token issuance has been set off. Tokens such as $MELANIA, $RYAN, $ENRON, and $LIBRA have appeared one after another, and the Meteora platform has quickly become the preferred issuance platform for such high-profile projects. These token projects show striking similarities: extremely high FDV, exaggerated trading volume, and drastic price fluctuations. On the surface, these tokens are sought after by the market due to the celebrity effect, but in-depth analysis shows that behind this is actually a set of carefully designed wealth harvesting mechanisms.

Meteora Platform: Innovation mechanism turned into a tool for manipulation

The Meteora platform has gained popularity with its DLMM model, which has lower transaction slippage and flexible liquidity management mechanism. However, these innovative features, which were originally designed to improve capital efficiency, have been improperly exploited and become a profit tool for project owners and insider traders.

Behind Solana’s celebrity tokens: a feast for project owners and insider trading

How systemic manipulation works

In a typical celebrity token offering, the project usually takes the following steps:

  1. Create tokens in advance

  2. Establishing DLMM trading pool on Meteora

  3. Injecting trading liquidity

It is observed that project owners often create DLMM pools for token and USDC trading pairs in advance and only inject one-sided liquidity. This means that at the opening, a large number of limit sell orders have been preset waiting for liquidity to flow in, and the zero slippage feature of the DLMM trading bin further amplifies the profit margin of the project owners.

Insider Trading Analysis: Precise Timing and Systematic Operations

In the cases of $MELANIA, $ENRON, $LIBRA, etc., insider traders all knew the contract address (CA), trading pool information and opening time in advance. Specifically:

According to GMGN data, nearly $4.5 million of funds poured into $LIBRA in just 2 seconds after it opened.

Behind Solana’s celebrity tokens: a feast for project owners and insider trading

A trader (address: 8bZsrR5aRHDZYkWPLQoDFZUKsHCTeJ8uqhPnoMn7baG3) took the first place with a single $1.4 million sniper transaction. The account initiated 170 transactions in the opening block and was successful only at the moment the transaction was opened. Considering that there are pools on Meteora that only add unilateral liquidity every day, such a large amount of precise investment is obviously due to insider information.

Behind Solana’s celebrity tokens: a feast for project owners and insider trading

Detailed explanation of profit model

This sniper trader adopted a systematic strategy to make profits:

  1. Quickly convert 1.8 million tokens into $530,000

  2. Distribute the remaining tokens to 8 sub-accounts

Behind Solana’s celebrity tokens: a feast for project owners and insider trading

  1. Take the largest sub-account (DmzEMt7XHwA1tZM5d1XBGvTFWoUpTLutpR5d8cMxNghs) as an example:

    • Sell 750,000 tokens every 20 seconds, 14 times in a row

Behind Solana’s celebrity tokens: a feast for project owners and insider trading

  • The remaining tokens are added as one-sided liquidity to the $LIBRA-$SOL trading pair

  • 5500 SOLs were harvested in just 7 minutes

Behind Solana’s celebrity tokens: a feast for project owners and insider trading

  • Convert all LIBRA and SOL to USDC within 5 hours after the opening, making a profit of 5 million USD

Ultimately, the sniper account made a total profit of $17 million through this bulk dumping method.

At the same time, the project side made more profit. The developer address (DefcyKc4yAjRsCLZjdxWuSUzVohXtLna9g22y3pBCm2z) also used the unilateral liquidity mechanism to add tokens to the Meteora pool, and the fee income alone reached 10 million US dollars.

Behind Solana’s celebrity tokens: a feast for project owners and insider trading

Market impact and warnings

Although the $LIBRA case has attracted much attention due to its high attention, $ENRON, $MELANIA and $RYAN all show similar operation patterns. Investors have unknowingly fallen into the trap of "celebrity + Meteora + big trucks" to harvest funds. The high liquidity mechanism of the Meteora platform has been abused by project owners and insider traders, which has seriously overdrawn the liquidity of the cryptocurrency market and investor confidence.

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Author: M7 Research

This article represents the views of PANews columnist and does not represent PANews' position or legal liability.

The article and opinions do not constitute investment advice

Image source: M7 Research. Please contact the author for removal if there is infringement.

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