token-holder-analysis

To analyze Solana token holder distribution, you calculate concentration metrics like the Gini coefficient, HHI, and Nakamoto coefficient to quantify ownership inequality. This identifies insider risks by evaluating top holder supply control, bundler activity, and developer holdings.

Bundler activity in token risk assessment is an insider pattern where a significant portion of tokens is acquired early by specific actors. Detecting bundler activity alongside sniper entries helps identify high dump risks before investing in a Solana token.

Checking if top holders control a majority of a token's supply involves calculating concentration metrics like the Nakamoto coefficient. This quantifies ownership inequality and identifies whether top 10 holders pose a high dump risk due to excessive supply control.

Yes, you can use Helius and Birdeye APIs alongside Solana RPC and SolanaTracker to identify sniper entries in token holder data. Pulling data from these APIs allows you to detect early insider patterns and assess ownership concentration risks.

A limitation of using concentration metrics for Solana token risk assessment is that numerical distribution scores alone may not reveal disguised insider networks. You must also evaluate qualitative insider patterns like bundler activity and developer holdings to avoid missing hidden dump risks.