Skip to content

CBoYXD/spotnet

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

What

The functionality allows users to leverage their positions on assets (e.g., ETH) by looping through lending protocols (ZkLend, Nostra) and automated market makers (AMMs). Users deposit collateral into a lending protocol, borrow stablecoins, trade on AMMs, and repeat this loop to increase their holdings. The process allows for up to 5x leverage, providing more utility and liquidity to the DeFi ecosystem.

Why

The spot leveraging concept fills a gap in the Starknet ecosystem by enabling users to amplify their positions without the need for perpetual contracts. This improves liquidity and utility for decentralized finance (DeFi) platforms on Starknet, providing a tool that is currently unavailable but highly demanded by users and protocols like ZkLend and Nostra. It allows for stable, long-term leveraged positions at lower costs and risk, which are essential for users aiming to increase exposure without facing the volatility of perpetual contracts.

How

  1. Deposit Collateral: Users deposit assets (e.g., ETH) into a lending protocol like ZkLend or Nostra - interaction with a smart contract on Starknet
  2. Borrow Stablecoins: Users borrow stablecoins (e.g., USDC) against their deposited collateral - The smart contract on Starknet allows users to borrow stablecoins
  3. Trading on AMMs: Borrowed stablecoins are swapped for more ETH or the initial asset via AMMs (Starknet-based).
  4. Re-Deposit and Re-Borrow: The newly acquired ETH is re-deposited as additional collateral to borrow more stablecoins.
  5. Repeating the Loop: This loop repeats, increasing the user's leverage until they reach the desired level or the borrowing limit.

Development Environment Setup

This guide explains how to start the development environment for the project using Docker Compose. It includes setting up the backend, database, and frontend services.

Prerequisites

  • Docker installed on your machine (v19.03+ recommended).
  • Docker Compose installed (v1.27+ recommended).
  • Ensure port 5433 is available for the PostgreSQL container.

Starting the Development Environment

  1. Clone the Repository

    git clone <repository-url>
    cd <repository-folder>
  2. Build and Start Services

    To build and run the entire development environment, use the following command:

    docker-compose -f docker-compose.dev.yaml up --build

    For Windows users, use this command to build and start the development environment:

    docker-compose -f docker-compose.dev-windows.yaml up --build

    This command will:

    • Build the backend and frontend Docker images.
    • Start the backend, frontend, and PostgreSQL database containers.
  3. Access the Application

    • Backend API: Accessible at http://localhost:8000.
    • Frontend: Accessible at http://localhost:3000.
    • PostgreSQL Database: Accessible at localhost:5433 (make sure to use the DB_USER and DB_PASSWORD from the .env.dev file).

Common Issues

  • Port Conflict: Ensure port 5433 is free, as PostgreSQL will bind to this port in the development environment.

  • Docker Build Issues: If changes in dependencies are not reflected, you may need to clear Docker's cache:

    docker-compose -f docker-compose.dev.yaml build --no-cache

    Windows users:

    docker-compose -f docker-compose.dev-windows.yaml build --no-cache

How to run test cases

In root folder run next commands:

poetry install

Activate env

poetry shell

Run test cases

poetry run pytest

Stopping the Development Environment

To stop the environment and remove containers, use:

docker-compose -f docker-compose.dev.yaml down

windows users:

docker-compose -f docker-compose.dev-windows.yaml down

This command stops all running containers and removes them, but the data volumes will persist.

Rebuild or Update

If you have made changes to the code or Docker configuration, rebuild the containers:

docker-compose -f docker-compose.dev.yaml up --build

windows users:

docker-compose -f docker-compose.dev-windows.yaml up --build

About Celery

This project utilizes Celery to handle asynchronous tasks. The Celery workers and scheduler are defined within the Docker Compose setup.

Services Overview

  • Celery Worker: Executes tasks in the background.
  • Celery Beat: Schedules periodic tasks.
  • Redis: Used as the message broker for Celery.

Running Celery

To start the Celery worker and Celery Beat services, use the following command in the terminal within your project directory:

docker-compose up -d celery celery_beat

Stopping Celery

To stop the Celery worker and Beat services, run

docker-compose stop celery celery_beat

Purging Celery Tasks

If you want to purge all tasks from the Celery queue, you can do this by executing

docker-compose run --rm celery celery -A spotnet_tracker.celery_config purge

How to add test data

  1. Run dev container
docker-compose -f docker-compose.dev.yaml up --build

windows only:

docker-compose -f docker-compose.dev-windows.yaml up --build
  1. In new terminal window run command to populate db
docker exec -ti backend_dev python -m web_app.db.seed_data

How to create migration file:

Run up docker containers

docker-compose -f docker-compose.dev.yaml up --build

Windows users:

docker-compose -f docker-compose.dev-windows.yaml up --build

Go to backend container in new terminal window

docker exec -ti backend_dev bash

Run command to create migration file

alembic -c web_app/alembic.ini revision --autogenerate -m "migration message"

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Python 44.4%
  • JavaScript 24.1%
  • CSS 15.0%
  • Cairo 14.9%
  • Jupyter Notebook 1.0%
  • Dockerfile 0.2%
  • Other 0.4%