🔍Data Collection

Insights into Alvatix's data collection methodologies.

Alvatix's precision in delivering actionable market insights is underpinned by a comprehensive data collection methodology that incorporates extensive on-chain data, detailed whale movement analysis, exhaustive exchange data aggregation, and the integration of a wide array of technical analysis indicators. Below is an in-depth exploration of each component:

On-Chain Data Tracking

Node Network Utilization: Utilizing industry-leading node support providers such as Quicknode, Alvatix taps into a vast network of Ethereum Virtual Machine (EVM) nodes. This facilitates the capture of granular, real-time on-chain wallet activities, including transactions, token transfers, and smart contract interactions.

EVM Node Tracking

By deploying sophisticated data collection tools across EVM-compatible blockchains, we monitor and record transactional data across over 120 blockchain networks. This extensive monitoring provides a detailed ledger of on-chain activities that contribute to market movement analytics.

Behavioral Analytics

The data sourced from on-chain activities are analyzed to discern patterns and trends within the ecosystem. This analysis is vital for generating real-time insights that reflect the current state of on-chain dynamics, crucial for traders who rely on up-to-the-minute information.

Whale Movement Analysis

Macroscopic Transaction Tracking: We employ advanced metrics to identify and track large-scale wallet movements colloquially referred to as "whale" activities. By scrutinizing over 10,000 wallets, particularly those associated with significant holdings, our system is capable of detecting market-influencing transactions.

Predictive Market Indicators

The transactional behaviors of these whales are potent indicators of potential market shifts. Alvatix's platform enables users to act on these insights, offering a predictive edge by analyzing the actions of influential market participants.

Exchange Data Aggregation

Our data aggregation spans a wide array of centralized and decentralized exchange data, meticulously compiling order book and trade book information that dates back to 2020. This historical and contemporary data collection offers users a longitudinal perspective of market behaviors.

Market Dynamics Visualization

By harmonizing data from more than 25 exchanges, Alvatix provides users with a macroscopic view of trading activities, liquidity trends, and market dynamics. This extensive data set is crucial for users to understand and anticipate shifts in market liquidity and trading volumes.

Technical Analysis Integration

Multi-Dimensional Market Analysis: Over 50 integrated technical analysis indicators serve as the backbone of our quantitative toolkit. These indicators encompass traditional metrics such as Moving Averages, RSI, and MACD, alongside advanced quantitative models.

Enhanced Quantitative Framework

The synthesis of these technical indicators with on-chain and exchange data culminates in a robust database. This integrated framework is engineered to meet the stringent demands of quantitative and algorithmic trading objectives, providing a comprehensive analytical platform for our users.