Coder Social home page Coder Social logo

ssalmansaif / deploy Goto Github PK

View Code? Open in Web Editor NEW

This project forked from hummingbot/deploy

0.0 0.0 0.0 703 KB

This repository provides various examples of how to deploy Hummingbot using Docker.

License: Apache License 2.0

Shell 1.06% Python 98.94%

deploy's Introduction

hummingbot-deploy

Welcome to the Hummingbot Deploy project. This guide will walk you through the steps to deploy multiple trading bots using a centralized dashboard and a service backend.

Prerequisites

  • Docker must be installed on your machine. If you do not have Docker installed, you can download and install it from Docker's official site.
  • If you are on Windows, you'll need to setup WSL2 and a Linux terminal like Ubuntu. Make sure to run the commands below in a Linux terminal and not in the Windows command prompt or Powershell.

Installation

  1. Clone the repository:
    git clone https://github.com/hummingbot/deploy.git
    cd deploy

Running the Application

  1. Start and configure the Application

    • Run the following command to download and start the app.
    • bash setup.sh
  2. Access the dashboard:

    • Open your web browser and go to localhost:8501. Replace localhost with the IP of your server if using a cloud server.
  3. API Keys and Credentials:

    • Go to the credentials page
    • You add credentials to the master account by picking the exchange and adding the API key and secret. This will encrypt the keys and store them in the master account folder.
    • If you are managing multiple accounts you can create a new one and start adding new credentials there.
  4. Create a config for PMM Simple

    • Go to the tab PMM Simple and create a new configuration. Soon will be released a video explaining how the strategy works.
  5. Deploy the configuration

    • Go to the Deploy tab, select a name for your bot, the image hummingbot/hummingbot:latest and the configuration you just created.
    • Press the button to create a new instance.
  6. Check the status of the bot

    • Go to the Instances tab and check the status of the bot.
      • If it's not available is because the bot is starting, wait a few seconds and refresh the page.
      • If it's running, you can check the performance of it in the graph, refresh to see the latest data.
      • If it's stopped, probably the bot had an error, you can check the logs in the container to understand what happened.
  7. [Optional] Check the Backend API

    • Open your web browser and go to localhost:8000/docs.

Dashboard Functionalities

  • Config Generator:

    • Create and select configurations for different v2 strategies.
    • Backtest and deploy the selected configurations.
  • Bot Management:

    • Visualize bot performance in real-time.
    • Stop and archive running bots.

Tutorial

To get started with deploying your first bot, follow these step-by-step instructions:

  1. Prepare your bot configurations:

    • Select a controller and backtest your controller configs.
  2. Deploy a bot:

    • Use the dashboard UI to select and deploy your configurations.
  3. Monitor and Manage:

    • Track bot performance and make adjustments as needed through the dashboard.

deploy's People

Contributors

fengtality avatar cardosofede avatar david-hummingbot avatar nikspz avatar klpanagi avatar rapcmia avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.