Udemy – Design, Backtest and Run your Binance Trading Bot on GCP 2024-11
Udemy – Design, Backtest and Run your Binance Trading Bot on GCP 2024-11 Downloadly IRSpace
Design, Backtest and Run your Binance Trading Bot on GCP course. In this course, you will learn a practical example of how to combine three technical indicators (RSI, Bollinger Bands and Engulfing pattern) to define a trading strategy for Bitcoin (BTCUSD) using Python, Ta-Lib and the Binance API. Then, you will perform a backtest of this strategy to see if it is successful. Since running a backtest takes several hours, you will learn how to containerize your Python script using Docker and move it to Google Cloud Platform. Specifically, you will learn how to move the container to Artifact Registry and then run it on Google Compute Engine. Finally, you will see how to run your trading bot 24/7 on Google Cloud using Docker, Artifact Registry and Google Compute Engine.
What you will learn in this course:
- How to execute market orders and OCO orders using the Binance API
- Combining technical indicators to build a trading strategy
- Backtest your trading strategy to check its effectiveness
- Build a Docker container with your own Python script and push it to Google Cloud
- Create an instance on Google Compute Engine to run your backtest
- Run your trading bot 24/7 on Google Cloud Compute Engine
This course is suitable for people who:
- Python developers interested in trading bots and cryptocurrencies
- Traders with programming skills
Course Details: Design Backtest and Run your Binance Trading Bot on GCP
- Publisher: Udemy
- Lecturer: Antonio de Jesus Campos Rodriguez
- Training level: Beginner to advanced
- Training duration: 5 hours and 21 minutes
- Number of lessons: 74
Course headings
Prerequisites for the Design Backtest and Run your Binance Trading Bot on GCP course
- Python is strongly recommended.
- Some basic knowledge of Docker and Google Cloud.
- Some familiarity with technical indicators would be useful.
- Some basic knowledge of crypto and Binance.
Course images
Sample course video
Installation Guide
After Extract, view with your favorite player.
Subtitles: None
Quality: 720p
Download link
File(s) password: www.downloadly.ir
File size
2.6 GB
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