jcarbonnell/rwa-analytics

A Rust library providing efficient and comprehensive analytics access for tokenized Real World Assets (RWA) data.

RWA Analytics Library

Overview

The RWA Analytics Library is a Rust-based solution designed to facilitate access to and analysis of tokenized Real World Assets (RWA) data. It aims to provide developers and financial analysts with a robust set of tools for querying, aggregating, and analyzing data related to RWA tokens, enabling informed decision-making and insights into asset performance.

Features

• Data Retrieval: Efficiently fetch tokenized RWA data from multiple sources.
• Analytics Engine: Perform complex analytics on RWA data, including trend analysis, performance metrics, and risk assessment.
• Custom Queries: Support for custom queries to filter and extract specific data points.
• Performance Metrics: Calculate key performance indicators (KPIs) for RWA tokens.
• Data Aggregation: Aggregate data from various tokens to present comprehensive market insights.
• High Performance: Optimized for speed and efficiency, leveraging Rust's concurrency and safety features.

Architecture

The RWA Analytics Library is built around a modular architecture, with the following key components:

• Data Fetcher: Responsible for fetching RWA data from various sources, such as blockchain networks, data providers, and external APIs.
• Data Processor: Processes the raw data to extract relevant information, perform calculations, and generate insights.
• Analytics Engine: Provides a set of tools and algorithms for analyzing RWA data, including trend analysis, performance metrics, and risk assessment.
• Query Engine: Supports custom queries to filter and extract specific data points based on user-defined criteria.
• Data Aggregator: Aggregates data from multiple sources and tokens to present comprehensive market insights and performance metrics.

Project Structure

The project is organized into the following directories:

rwa_analytics
├── src/
│   ├── lib.rs       // Entry point of the library
│   ├── models.rs    // Data models
│   ├── api.rs       // API integration modules
│   └── analytics.rs // Analytics and statistics functions
├── examples/
│   └── basic_usage.rs // Example usage of the library
├── tests/
│   └── lib_tests.rs   // Unit and integration tests
├── Cargo.toml         // Project metadata and dependencies
└── README.md          // Project documentation

• src: Contains the source code for the library, organized into different modules based on functionality.
• tests: Contains unit tests for the library.
• examples: Contains example code demonstrating how to use the library.
• Cargo.toml: The manifest file for the Rust package, specifying dependencies and other metadata.
• README.md: The project's main documentation file.

Getting Started

Prerequisites

• Rust 1.56.0 or later

Installation

Add the following to your Cargo.toml file:

[dependencies]
rwa_analytics_lib = "0.1.0"

Usage

Here's a quick example to get you started:

use rwa_analytics_lib::RwaAnalytics;

fn main() {
    let analytics = RwaAnalytics::new("your_api_key_here");
    let data = analytics.get_token_data("token_identifier_here");
    println!("{:?}", data);
}