Section 8: Coin Metrics
Goal: Display recent trades, holder trends, and advanced statistics for a coin or liquidity pool.
The Coin Page also enables users to execute buy and sell transactions for a selected asset.
Overview
The ability to analyze thousands of on-chain attributes for each asset—and accurately interpret their impact on price direction—is one of RAX’s core capabilities.
While predictive modeling is beyond the scope of this chapter, our infrastructure has been designed to collect, structure, and index extensive on-chain data for every asset.
This framework powers our proprietary analytics engine, forming the foundation for the Codex and supporting advanced quantitative research across all subsequent chapters.
By combining quantitative metrics with our granular wallet-level intelligence, RAX provides an unprecedented depth of asset analysis—identifying potential buying and selling pressure zones with higher precision than traditional financial models, where data transparency is limited.
Structure and Methodology
Our Coin Metrics framework mirrors the structure of our Wallet Metrics system.
It begins with general scores that assess broad behavioral segments of a coin, followed by deeper, specialized indicators defined by RAX’s proprietary algorithms.
Users can also create custom scores and indicators using the Reports Page for tailored research and backtesting.
The Scores: Six Core Metrics
1. Short-Term Selling Pressure Score
Measures when holders entered the coin, how long they typically hold, and the expected timeframe before selling.
This metric helps identify near-term supply pressure or potential exit zones.
2. Holders Quality
Evaluates the quality and historical performance of the traders currently holding the asset.
Higher scores indicate that top-performing traders are participating in the same trade or trend.
3. Fake Volume
Determines whether reported trading volume is genuine or artificially inflated, allowing users to filter out manipulated market data.
4. Rug Score
A binary value (0 or 1) indicating whether a token or its related wallet has previously engaged in a rug pull.
By analyzing fund flows, RAX can trace whether the wallet initiating or funding a trade has a prior history of rug activity—enhancing fraud detection and risk assessment.
5. Risk Score
Quantifies the likelihood of an adverse event such as a potential rug pull or coordinated sell-off.
This composite score factors in contract audit data, holder quality, fee structures, and holder concentration to provide a holistic view of asset risk.
6. Holder Concentration
Measures how concentrated the asset is among top holders.
A higher concentration suggests increased downside risk, as large holders can significantly impact price stability when exiting positions.