pump-fun-mechanics

Model pump.fun bonding curves, graduation triggers, and Raydium migration dynamics.

3|Updated Jan 22, 2026
One-click install
npx skills add https://github.com/SanctifiedOps/solana-skills --skill pump-fun-mechanics
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: pump-fun-mechanics
Source: https://github.com/SanctifiedOps/solana-skills/tree/main/skills/trading/pump-fun-mechanics
Command: npx skills add https://github.com/SanctifiedOps/solana-skills --skill pump-fun-mechanics

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill provides a deep technical understanding of pump.fun bonding curves, graduation mechanics, migration to Raydium, and the trading implications for builders, analysts, and traders seeking rigorous token analytics.

Core Features & Use Cases

  • Bonding-curve modeling: Understand price as a deterministic function of supply and simulate pre-graduation dynamics.
  • Graduation & migration: Analyze thresholds, timing windows, and arbitrage opportunities around Raydium deployment.
  • Post-graduation trading dynamics: Compare pre- and post-migration liquidity, price discovery, and risk factors across AMMs.
  • Use Case: Build a monitoring workflow that flags imminent graduation and estimates liquidity needs.

Quick Start

Use the pump-fun-mechanics skill to analyze a token's bonding-curve position and project graduation dynamics.

Frequently Asked Questions about pump-fun-mechanics

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How does the pump.fun bonding curve work for token price discovery?

The pump.fun bonding curve determines token price as a deterministic function of supply, allowing you to model pre-graduation dynamics and simulate price impacts before liquidity thresholds are reached.

What triggers pump.fun token graduation and migration to Raydium?

Pump.fun graduation triggers when specific bonding curve thresholds are met, initiating a migration window to Raydium where you can analyze timing and arbitrage opportunities during AMM deployment.

How do I assess pre-graduation and post-migration liquidity risk for pump.fun tokens?

You can evaluate liquidity risk by comparing pre-graduation bonding curve dynamics against post-migration Raydium AMM liquidity scenarios, assessing price discovery shifts and risk factors across both environments.

Can I build a monitoring workflow to flag imminent pump.fun token graduation?

Yes, you can build a monitoring workflow using structured guidance to flag imminent graduation events and estimate required liquidity needs for Raydium migration timing and deployment.

What differentiates pump.fun bonding curve trading from post-graduation Raydium AMM dynamics?

Pump.fun bonding curves offer deterministic price functions based on supply, while post-graduation Raydium AMM dynamics introduce variable liquidity pools, different price discovery mechanisms, and distinct risk factor profiles.

What data do I need to model pump.fun graduation thresholds and migration timing?

You need bonding curve position data, supply metrics, and liquidity threshold inputs to project graduation dynamics, estimate migration timing windows, and evaluate arbitrage opportunities accurately.