How to Detect Whale Manipulation in Meme Coins: On-Chain Analysis

Judging whether a meme coin has a manipulator boils down to two core aspects: whether on-chain addresses are controlled by the same entity (multi-address linkage), and whether the token distribution and trading behavior are abnormal. Empirical research from Binance Research and IEEE ICBC 2025 shows that by identifying "entity-associated addresses," one can discover that seemingly dispersed holdings may actually be under the control of a single whale, revealing real liquidity risk.

Step 1: Quickly Scan Risk Signals with Tools

What to do: Before diving deep, use professional tools for a quick screening to rule out obvious scams.

How to do it:

• Solana chain: Use TokenSpy or RugCheck.xyz to scan the contract address. After entering the token contract, check these key signals:
  • Mint Authority: Is it still possible to mint new tokens? If so, high risk.
  • Buy/Sell Tax: Is it too high or changeable?
  • Pause/Blacklist: Does the contract include functions that prevent users from selling?
  • Top 10 holder concentration: Is it over 40%? Too high means tokens are highly concentrated.
  • Liquidity lock status: Is the pool locked or burned? Unlocked liquidity can be withdrawn at any time.

When is it done: The contract passes basic safety checks, no high-risk permissions are found, and the top 10 holder percentage is within a reasonable range.

If the tool shows high-risk permissions like "mintable," "pause," "blacklist," or "changeTax," simply walk away—don't put a cent in.

Step 2: Analyze Entity-Associated Addresses – Find the Real "Whale Cluster"

What to do: Identify a group of addresses that appear independent but are actually controlled by the same entity. This is the most critical technique for spotting manipulation.

How to do it: Based on the multidimensional entity association identification framework proposed by Binance Research, whales typically deploy through these four patterns:

1. Source of Funds Analysis: Trace the "one-to-many" fund distribution pattern. If a main wallet distributes funds to multiple sub-wallets, those sub-wallets likely belong to the same entity. For example, by setting a threshold of "at least 5 receiving addresses, minimum transaction value 10 USDT," 1,063 associated address groups involving 5,413 addresses were found in BabyBonk token, all receiving tokens from the same funding source.

2. Destination of Funds Analysis: Trace the "many-to-one" fund convergence pattern. Multiple small addresses transferring funds to the same central address also often suggests they belong to the same entity. This method identifies whales hiding their real asset size by dispersing holdings.

3. Behavioral Similarity Analysis: Even if addresses have different funding sources, if they are highly similar in transaction times, interacted contracts, and operation patterns, they are very likely related. For instance, in some cases, associated addresses form a tree-like fund distribution structure.

4. Abnormal Trading Behavior Analysis: Identify manipulation behaviors like self-trading (buying and selling between different addresses controlled by the same entity to inflate volume) and circular trading (multiple associated addresses trading sequentially to form a closed loop). After removing these fake trades, real liquidity metrics decline sharply.

Specific steps:

• On DexScreener or a block explorer, view a token's "Top Traders" list.
• Copy top profitable addresses, and use wallet analysis features on Arkham or Nansen to view their associated addresses and fund flows.
• Look for these patterns: multiple profitable addresses share the same funding source; their operation times are highly synchronized; their portfolio compositions overlap significantly. For example, in the NEIRO token case, analysis revealed that the three largest profitable addresses used the same CoinTool token distributor for distribution, ultimately linked to a Binance account address.

When is it done: Found 2–3 clear address association patterns, or confirmed the existence of a "manipulation address cluster."

Step 3: Check the True Concentration of Token Distribution

What to do: Recalculate the real concentration using the identified associated addresses, not the surface data.

How to do it:

• Use platforms like Dune Analytics to query a token's holder distribution.
• Key comparison: Compare the data before optimization (statistics by single address) with the data after optimization (statistics after merging associated addresses).
• If a token's top 10 addresses appear dispersed (e.g., total 20%), but after merging associated addresses, the top 10 entities control 60% or more of the supply, this is a clear manipulation signal.

When is it done: Confirm that after merging associated addresses, the total holdings of the top 10 entities exceed 30%, and there exists a noticeable "rat trade" address cluster.

Step 4: Analyze Whether Trading Behavior Is Real or Fake

What to do: Determine if trading volume is driven by real demand or is an illusion created by the whale's wash trading.

How to do it:

• Wash Trading: High-frequency, small-value trades between associated addresses generate many transaction records but no actual ownership change. This distorts the "Volume / Market Cap (VMTV)" metric—after removing associated address trades, real trading volume may shrink significantly.
• Circular Trading: Tokens circulate among several associated addresses and eventually return to the starting point, creating a false impression of market activity.

When is it done: Observe trading patterns on DexScreener. If you see the same batch of addresses repeatedly buying and selling with similar amounts and no significant price change, it is highly likely wash trading.

Summary of Common Whale Manipulation Signs

Risk Reminders

Whale ≠ Guaranteed Profit: A meme coin with a manipulator can still be suddenly abandoned. Once the bottom chips aren't tightly controlled, or the address cluster is publicly exposed, the whale may choose to dump the project. The initiative is not in the hands of ordinary investors.

Reflexivity of Address Discovery: Once a pumping address is publicly shared and more people know about it, it means increasing resistance for pumping, possibly leading to abandonment or address change. Address discovery works better in small circles, not for wide public sharing.

Accuracy of Query Tools: Information returned by tools may be biased or outdated. Any analysis is for reference only and does not constitute investment advice. Always conduct your own thorough research and due diligence.

Confirming Analysis Completion

After completing the above four steps, if the token passes contract safety checks, no clear associated address clusters are found, and the real token distribution is relatively dispersed, manipulation signals are weak, and a small test position could be considered. If any high-risk signal is found, it is recommended to skip the token outright. Regardless of the outcome, record the analysis process and gradually build your own judgment criteria.