ARPP: Anchored Reference Price Protocol

Table of Contents

1. Introduction
2. Features
3. Project Structure
4. Setup Instructions
5. Library Usage
6. Usage Examples
7. Testing
8. Contribution and Contact

ARPP (Anchored Reference Price Protocol) is an innovative Automated Market Maker (AMM) formula implemented in Rust, designed to reduce price volatility in decentralized exchanges.

Key Features:

• Reduced dependency on pool liquidity for price stability
• Oracle-based price anchoring for improved market alignment
• Configurable parameters for fine-tuned market behavior
• Rust implementation for high performance and safety
• Liquidity pool simulation engine
• Monte Carlo analysis for robustness testing
• Data visualization tools for performance analysis
• Configurable parameters for market behavior fine-tuning

ARPP aims to solve the high volatility issues in traditional AMM models, particularly in low liquidity scenarios. This repository contains the core implementation, testing suite, and documentation for integrating ARPP into DeFi protocols.

Formula:

$$ P = P_{\text{ref}} \cdot \left( 1 + \alpha \cdot \arctan\left( \beta \cdot (R - 1) \right) \right) $$

Where:

• $ P $: Asset price in the pool
• $ P_{\text{ref}} $: Reference price from oracle
• $\alpha, \beta $: Adjustable parameters -$R $: Ratio of assets in the pool

Components:

1. Core ARPP Implementation:

   • Efficient Rust code for ARPP formula calculations
   • Liquidity pool state management

2. Simulation Engine:

   • Monte Carlo simulations to test various market scenarios
   • Customizable trading strategies and market conditions

3. Data Analysis and Visualization:

   • Generation of performance metrics (e.g., price stability, slippage, impermanent loss)
   • Integration with plotting libraries (e.g., plotters) for creating graphs and charts

4. CLI Interface:

   • Easy-to-use command-line tools for running simulations and generating reports

Technology Stack:

• Rust (core implementation and simulations)
• Rand crate for Monte Carlo simulations
• Plotters or similar for data visualization
• Rayon for parallel computing in simulations
• Serde for data serialization/deserialization

This project aims to provide researchers, DeFi developers, and financial analysts with a powerful tool to explore, validate, and optimize the ARPP formula for real-world applications in decentralized finance.

Contributions and feedback are welcome as we work towards creating more stable and efficient AMM solutions for the DeFi ecosystem. Ideal for researchers, DeFi developers, and enthusiasts interested in next-generation AMM designs.

Project Structure

The project is structured as follows:

1. Core ARPP Implementation (src/arpp/):

   • Formula (src/arpp/formula.rs): Core ARPP formula implementation.
   • Liquidity Pool (src/arpp/liquidity_pool.rs): Liquidity pool management and operations.

2. Analysis (src/analysis/):

   • Metrics (src/analysis/metrics.rs): Functions for calculating various metrics.
   • Visualization (src/analysis/visualization.rs): Tools for data visualization.

3. Simulation (src/simulation/):

   • Monte Carlo (src/simulation/monte_carlo.rs): Monte Carlo simulation implementation.
   • Strategies (src/simulation/strategies.rs): Various trading strategies for simulation.

4. Command Line Interface (src/cli/):

   • Commands (src/cli/commands.rs): CLI command implementations.

5. Utilities (src/utils/):

   • Helpers (src/utils/helpers.rs): Various helper functions.
   • Logger (src/utils/logger.rs): Logging utilities.

6. Main Application (src/main.rs): Entry point for the application.

7. Library Interface (src/lib.rs): Main library interface.

8. Tests (tests/):

   • Unit Tests (tests/unit/mod.rs): Unit tests for the project.

9. Benchmarks (benches/): Directory containing benchmark tests.

10. Examples (examples/): Directory containing usage examples.

11. Coverage (coverage/): Directory for code coverage reports.

12. Configuration Files:

• Cargo.toml & Cargo.lock: Rust package manager configuration.
• rust-toolchain.toml: Rust toolchain specification.
• Makefile: Build automation.

13. Documentation:

• README.md: Project overview and documentation.
• LICENSE: Project license information.

14. Reports:

• tarpaulin-report.html: Code coverage report generated by tarpaulin.

Setup Instructions

1. Clone the repository:

git clone https://github.com/joaquinbejar/ARPP.git
cd ARPP

2. Build the project:

cargo build

3. Run tests:

cargo test

4. Format the code:

cargo fmt

5. Run linting:

cargo clippy

Library Usage

To use the library in your project, add the following to your Cargo.toml:

[dependencies]
ARPP = { git = "https://github.com/joaquinbejar/ARPP.git" }

Testing

To run unit tests:

cargo test

To run tests with coverage:

cargo tarpaulin

Contribution and Contact

We welcome contributions to this project! If you would like to contribute, please follow these steps:

1. Fork the repository.
2. Create a new branch for your feature or bug fix.
3. Make your changes and ensure that the project still builds and all tests pass.
4. Commit your changes and push your branch to your forked repository.
5. Submit a pull request to the main repository.

If you have any questions, issues, or would like to provide feedback, please feel free to contact the project maintainer:

Joaquín Béjar García

• Email: jb@taunais.com
• GitHub: joaquinbejar

We appreciate your interest and look forward to your contributions!