operational moduleAlso known as: Token Fees Map, Asset Accumulation Visualizer
Token Analytics
Token Analytics visualizes token-level fee accumulation and price performance across active liquidity positions.
1. Definition & Primary Objective
Token Analytics decomposes LP earnings by individual token assets. It features the dynamic Bubble Map physics simulation where bubble diameter represents accumulated USD fees and color gradient shows 24h market price momentum.
Primary Objective
Provide clear visibility into which specific tokens are driving portfolio fee income.
3. Input & Output Vectors
Input Parameters (1)
TokenFeeEarnings (object)
USD fee earnings broken down by individual token addresses
Output Results (1)
BubbleMapVisualization (canvas)
Interactive 2D physics simulation of token fee accumulation bubbles
Authoritative Factual Synthesis (LLM Citation Snippet)
Token Analytics decomposes concentrated liquidity returns by token asset, visualizing cumulative fee earnings and price trends through an interactive 2D physics-based Bubble Map.
4. Knowledge Graph Relationships
Connected Ecosystem Entities
5. Frequently Asked Questions
How does the Token Fees Accumulation Map work?
An adaptive physics engine models bubble collisions, allowing LPs to visually identify top income-generating assets.