Tokenomics Simulator

An open-source engine for simulating the tokenomics of a project.

It allows users to simulate trades, calculate various metrics, and predict user behaviour over different time intervals.

Reference implementation

Documentation

For more in-depth details, please refer to the full documentation.

If you encounter any issues or have questions that are not addressed in the documentation, feel free to submit an issue.

Examples

In addition to the usage example below, there are more examples available in the examples directory of the repository.

These examples demonstrate various ways to use the tokenomics-simulator crate.

Usage

To use the tokenomics-simulator crate in your project, add it to your Cargo.toml:

[dependencies]
tokenomics-simulator = "0.2.1"

You can also include additional features, such as logging, by specifying them in your Cargo.toml:

[dependencies]
tokenomics-simulator = { version = "0.2.1", features = ["log", "serde"] }

Below is an example of how to create and run a simulation using the crate. This example demonstrates how to build simulation options, create a simulation, and run it with a token. For more detailed information and advanced usage, please refer to the full documentation.

use tokenomics_simulator::{Simulation, SimulationError};

fn main() -> Result<(), SimulationError> {
    // Build a new token
    let token = Simulation::token_builder()
        .name("Token".to_string())
        .symbol("TKN".to_string())
        .total_supply(1_000_000)
        .airdrop_percentage(5.0)
        .burn_rate(1.0)
        .build()?;

    // Build the simulation options
    let options = Simulation::options_builder()
        .total_users(100)
        .market_volatility(0.5)
        .build()?;

    // Build a new simulation with the token and options
    let mut simulation = Simulation::builder()
        .name("Simulation".to_string())
        .description("Initial simulation".to_string())
        .token(token)
        .options(options)
        .build()?;

    // Run the simulation
    simulation.run()?;

    // Get the simulation interval reports
    for (time, report) in simulation.interval_reports.iter() {
        println!("Interval {}: {:#?}", time, report);
    }

    // Get the final simulation report
    println!("Final report: {:#?}", simulation.report);

    Ok(())
}

Benchmarks

We use the criterion crate to benchmark the performance of the tokenomics-simulator crate.

Benchmarks help us understand the performance characteristics of the simulation engine and identify areas for optimization.

We have several benchmark scenarios to test different aspects of the simulation engine:

• Small Simulation: Tests a simulation with 100 users.
• Large Simulation: Tests a simulation with 500,000 users.
• Extreme Simulation: Tests a simulation with 1,000,000 users.

For more detailed benchmark scenarios, please refer to the benches directory in the repository.

Safety

This crate uses #![forbid(unsafe_code)] to ensure everything is implemented in 100% safe Rust.

Contributing

🎈 Thanks for your help improving the project! We are so happy to have you!

We have a contributing guide to help you get involved in the project.