Strategy Component: Validating the additional parameters
Strategy Component: Switching the strategy On/Off
Using classes to organize the strategy module
Candlestick data: Parsing trades data
Candlestick data: Updating the list of candlestick data
Coding the Breakout Strategy
Calculating the Technical Strategy indicators
Adding more conditions for entering a Trade or not
Calculating the trade size on Binance and Bitmex
Displaying the PNL and Trade in the interface
Take Profit, Stop Loss, and Trade exits
Mac Users: Customize the Tkinter Buttons
Data Entry validation
Auto-complete Entry widgets17:44
Adding scrollable frames: the basics15:55
Adding scrollable frames: a more complex case14:17
Closing the application
Starting the application outside of Pycharm
Creating an SQLite database
Saving your workspace to the database
Creating a requirements.txt file01:16
Integrating Binance Spot
Binance Spot Tesnet: Generating API keys00:30
Final words and advice
Source Code with Comments00:06
Basic Python knowledge (know what a class/object is, dictionaries, lists, functions, loops, etc.)
Basic knowledge about crypto trading (bid/ask price, limit/market order)
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!
Who this course is for:
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