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https://github.com/epappas/rwa-analytics

A Rust library providing efficient and comprehensive analytics access for tokenized Real World Assets (RWA) data.
https://github.com/epappas/rwa-analytics

blockchain cryptocurrencies finance real-world-assets rust rwa web3

Last synced: 21 days ago
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A Rust library providing efficient and comprehensive analytics access for tokenized Real World Assets (RWA) data.

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README

        

# 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:

```plaintext
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:

```toml
[dependencies]
rwa_analytics_lib = "0.1.0"
```

### Usage

Here's a quick example to get you started:

```rust
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);
}
```