Pump.fun Migration Analytics

Description

The client wanted detailed analytics on tokens at the moment of migration on Pump.fun (Solana), to identify success patterns based on multiple parameters: number of holders, number of bots, token age, market cap, liquidity, volumes, % of insiders, token fees, and other metrics.

The problem was that migration data is scattered across multiple sources, and some metrics are not publicly available. The client needed a unified table that captures the token’s state at the moment of migration and enables further analysis of successful token launch patterns.

Solution

I developed a full Pump.fun token analytics module that collects and aggregates data at the moment of token migration.

The solution includes:

• Data collection from multiple sources (Solana RPC nodes, Axiom, third-party analytics services);
• Capturing key metrics at the moment of migration:
  • price, volume, liquidity;
  • number of holders and bots;
  • % supply held by top holders;
  • % snipers;
• A unified table where all parameters are recorded synchronously to avoid time discrepancies.

Result

As a result, a system was created that records token status at the moment of migration in a single structured table—with dozens of parameters needed for analysis.

Now the user can:

• Identify patterns of successful tokens based on historical data;
• Compare migrations across different factors;
• Use data for forecasting models and trading strategies;
• Automatically track new migrations and receive analytics without manual intervention.