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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