Alphractal Cryptocurrency Metrics Documentation

Introduction

Welcome to Alphractal’s official documentation — a detailed guide to the cryptocurrency metrics and analytical tools we’ve developed to help investors, traders, and researchers navigate the digital asset markets. Alphractal is a data intelligence platform focused on advanced analytics across cryptocurrencies, equities, indices, and global macro trends.

Founded in 2023 and based in São Paulo, Brazil, Alphractal aims to bring transparency and depth to market analysis. This documentation outlines over 270 proprietary indicators, offering practical insights into market behavior, risk, sentiment, and blockchain activity. Whether you’re managing a portfolio, conducting research, or just exploring crypto analytics, this guide is designed to support your decision-making with clarity and precision.

Purpose and Scope

This documentation is organized around five core areas of crypto analysis:

  • Derivatives Metrics: Tools that track futures and perpetual markets — including open interest, funding rates, and liquidation levels — to help assess market direction and leverage sentiment.
  • On-Chain Metrics: Data pulled directly from blockchains to reveal trends in transaction flow, address activity, and long-term investor behavior.
  • Macroeconomic Indicators: Metrics that connect crypto markets to broader economic factors such as interest rates, inflation expectations, and global liquidity conditions.
  • Sentiment Metrics: Indicators designed to capture market psychology, crowd behavior, and social trends that influence price movement.
  • Market Metrics: Classic market data tools such as volume, volatility, price action patterns, and liquidity depth.

Each metric is explained using a consistent structure to help you understand what it measures, how it’s used, and why it matters. The goal is to bridge technical analysis with practical applications across different types of investors and analysts.

Documentation Structure

To make this documentation practical and easy to follow, each metric is broken down into four key sections:

  1. Definition and Context - What the metric measures, where it comes from, and how it fits into broader market analysis.
  2. Practical Application - How to use the metric in real-world scenarios — from trade setups to portfolio risk management.
  3. Interpretation Guidelines - What the numbers mean, common misreadings to avoid, and how to apply the metric in different market conditions.
  4. Calculation Methodology - The math behind the metric, including formulas, data sources, and technical notes for those who want to dig deeper or build models.

This structured format is designed to support both beginners and advanced users — whether you’re scanning for quick insights or building a detailed analytical framework.

Data Integrity

All data presented in this documentation is sourced from verified blockchain nodes, reputable exchanges, and peer-reviewed analytics models. We apply strict quality controls to ensure accuracy, including:

  • Real-time monitoring
  • Data validation processes
  • Transparent sourcing for every metric

Our commitment to analytical integrity has led to recognition within the crypto community — including contributions to platforms like CryptoQuant — and trust from both institutional and independent users.

Risk Considerations

Cryptocurrency markets are volatile, fast-moving, and influenced by a wide range of unpredictable factors. This documentation is meant to support informed analysis — not to guarantee investment outcomes.

Metrics and indicators should always be used as part of a broader strategy that aligns with your risk profile, time horizon, and objectives. No single tool can fully capture the complexity of market behavior.

We encourage readers to continue learning, validate signals across different data sources, and consult financial professionals when appropriate. Effective market analysis requires both critical thinking and adaptability — especially in a space as dynamic as crypto.