Cryptocurrency Trading Bot with a User Interface in Python

Cryptocurrency Trading Bot with a User Interface in Python, available at $94.99, has an average rating of 4.63, with 65 lectures, 1 quizzes, based on 1495 reviews, and has 13720 subscribers.

You will learn about How to Code a trading bot / Automate a trading strategy How to Connect to crypto exchange APIs in general How to Design a graphical user interface (GUI) in Python Improve your Python skills and good practices with a real-world project Learn to use a REST and Websocket API This course is ideal for individuals who are Traders wishing to automate their strategies or Python developers wanting an introduction to trading bots or Developers wanting an introduction to GUI programming in Python or Python beginners who want to learn about GUI programming and API connections with a real-world project or Binance and Bitmex users who want to create their own trading tools It is particularly useful for Traders wishing to automate their strategies or Python developers wanting an introduction to trading bots or Developers wanting an introduction to GUI programming in Python or Python beginners who want to learn about GUI programming and API connections with a real-world project or Binance and Bitmex users who want to create their own trading tools.

Enroll now: Cryptocurrency Trading Bot with a User Interface in Python

Summary

Title: Cryptocurrency Trading Bot with a User Interface in Python

Price: $94.99

Average Rating: 4.63

Number of Lectures: 65

Number of Quizzes: 1

Number of Published Lectures: 65

Number of Published Quizzes: 1

Number of Curriculum Items: 66

Number of Published Curriculum Objects: 66

Original Price: 104.99

Quality Status: approved

Status: Live

What You Will Learn

How to Code a trading bot / Automate a trading strategy

How to Connect to crypto exchange APIs in general

How to Design a graphical user interface (GUI) in Python

Improve your Python skills and good practices with a real-world project

Learn to use a REST and Websocket API

Who Should Attend

Traders wishing to automate their strategies

Python developers wanting an introduction to trading bots

Developers wanting an introduction to GUI programming in Python

Python beginners who want to learn about GUI programming and API connections with a real-world project

Binance and Bitmex users who want to create their own trading tools

Target Audiences

Traders wishing to automate their strategies

Python developers wanting an introduction to trading bots

Developers wanting an introduction to GUI programming in Python

Python beginners who want to learn about GUI programming and API connections with a real-world project

Binance and Bitmex users who want to create their own trading tools

Take your trading ideas to code and make them more efficient by automating them like a pro!

This course will guide you through all the steps required to write a program in Python for algorithmic trading, using the best coding practices. It is a perfect example of the “learning by doing” pedagogy: instead of learning only theoretical concepts, you will learn important concepts whilst creating a real trading application, from API connections to trade management.

Keep control over your trading robot with an interface

A trading program can automate your strategy, but that’s not all: you can also use it as a trading assistant by building a user interface (UI) that will help you follow your trades and market data. This course will give you an understanding on how to develop a solid Tkinter interface and integrate it with the trading automation part.

Interact with the crypto exchange servers without an intermediary

Many platforms propose to write simplified code to automate your strategy and handle most of the interaction with an exchange API in the background. It doesn’t give you the freedom you may need, it prevents you from building very developed programs, and their service- of course- isn’t easy on the wallet.
This course will teach you how to interact with an exchange API without an intermediary- giving you control of everything. It will also give you the power to improve your programming knowledge, which you can re-use for other projects.

Learn with the Binance Futures and Bitmex APIs

Binance and Bitmex are two of the most popular crypto exchanges in the world, they provide awesome automation possibilities and are great for beginners. You can then apply what you have learned to your Binance Spot/Margin account or other exchanges.

Both Binance and Bitmex have testing environments, including their API, which is a great way to learn!

Course Curriculum

Chapter 1: Introduction & Initial Setup

Lecture 1: Course Overview

Lecture 2: Installing Python

Lecture 3: Installing and Using Pycharm

Lecture 4: Creating your API Keys (mandatory)

Lecture 5: Frequently Asked Questions (FAQ)

Lecture 6: Stuck during the course? Check here

Chapter 2: Application Entry Point & Interface / API basics

Lecture 1: Creating an Entry Point | Logger | Main window

Lecture 2: Interacting with a public API

Lecture 3: Displaying API data on an interface

Lecture 4: Introduction to widget styling

Chapter 3: API Connectors : Learn with Binance Futures

Lecture 1: Binance Futures – REST API (Public endpoints coding)

Lecture 2: Binance Futures – REST API (Public endpoints testing)

Lecture 3: Binance Futures – REST API (Private endpoints)

Lecture 4: Binance Futures – Websocket API

Lecture 5: Binance Futures – Improvements: Data Models & Variable Typing

Lecture 6: Binance Futures – Improvements: Error Handling & Private variables/methods

Lecture 7: Subscribing to more Websocket channels

Chapter 4: API Connectors : Apply your knowledge with Bitmex

Lecture 1: Exercise: Creating a basic Bitmex connector

Lecture 2: Bitmex – REST API & Authentication

Lecture 3: Bitmex – REST API: Adding more functions

Lecture 4: Bitmex – Websocket API

Lecture 5: Convert a date-time string to an Unix Timestamp

Lecture 6: Solving the problem of the order price and quantity rounding

Chapter 5: Build Up the Interface

Lecture 1: Parent Component & Interface organization

Lecture 2: Logging Component

Lecture 3: Updating the User Interface safely

Lecture 4: Watchlist Component: Structuring the Class

Lecture 5: Watchlist Component: Adding a Symbol

Lecture 6: Watchlist Component: Removing a symbol

Lecture 7: Watchlist Component: Updating the Watchlist

Lecture 8: Exercise: Creating the Trades Component

Lecture 9: Trades Component

Lecture 10: Strategy Component: Initialization

Lecture 11: Strategy Component: Adding a new strategy

Lecture 12: Strategy Component: Deleting a strategy

Lecture 13: Strategy Component: Configuring additional parameters

Lecture 14: Strategy Component: Validating the additional parameters

Lecture 15: Strategy Component: Switching the strategy On/Off

Lecture 16: Source Code

Chapter 6: Strategies and Trading

Lecture 1: Using classes to organize the strategy module

Lecture 2: Candlestick data: Parsing trades data

Lecture 3: Candlestick data: Updating the list of candlestick data

Lecture 4: Coding the Breakout Strategy

Lecture 5: Calculating the Technical Strategy indicators

Lecture 6: Adding more conditions for entering a Trade or not

Lecture 7: Calculating the trade size on Binance and Bitmex

Lecture 8: Trade Execution

Lecture 9: Displaying the PNL and Trade in the interface

Lecture 10: Take Profit, Stop Loss, and Trade exits

Lecture 11: Source Code

Chapter 7: Enhance the Application with more features

Lecture 1: Mac Users: Customize the Tkinter Buttons

Lecture 2: Data Entry validation

Lecture 3: Auto-complete Entry widgets

Lecture 4: Adding scrollable frames: the basics

Lecture 5: Adding scrollable frames: a more complex case

Lecture 6: Closing the application

Lecture 7: Starting the application outside of Pycharm

Lecture 8: Creating an SQLite database

Lecture 9: Saving your workspace to the database

Lecture 10: Creating a requirements.txt file

Lecture 11: Integrating Binance Spot

Lecture 12: Binance Spot Tesnet: Generating API keys

Lecture 13: Handling the Binance Spot Websocket limitations / Resubscribe to the channels

Chapter 8: Conclusion

Lecture 1: Final words and advice

Lecture 2: Source Code with Comments

Instructors

Vincent Carmier
Developer

Rating Distribution

1 stars: 24 votes

2 stars: 21 votes

3 stars: 113 votes

4 stars: 403 votes

5 stars: 934 votes

Frequently Asked Questions

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