Retracement Bar Coded In Python For Algorithmic Trading

This video details the IRB or the inventory retracement bar as described and used by Hoffman and the algorithm that detects this bar in an automated method is written in python and explained. This can be helpful for algorithmic trading and custom indicator building. As any trading strategies this can be automated for trading. In this video, I'll show you how to code a retracement bar using Python. By implementing this key trading concept, you'll be able to identify potential entry and exit points more effectively, giving you an edge in the markets. Follow along as I walk you through the code and explain the underlying principles behind this powerful tool. Whether you're a seasoned trader or just starting out, this video is a must-watch for anyone looking to improve their trading skills. Don't miss out on this valuable opportunity to take your trading to the next level! 🍓 Follow structured courses with more details and practice exercises check my "About" page for Discount Coupons on my Udemy courses covering: - Python basics Kickstarter, - Object Oriented Programming - Data Analysis with NumPy and Pandas including financial analysis exercises, ... more courses are on the way drop me a message if you have a particular interesting topic! Good luck! The python code is available for download if you are interested in the algorithm: https://drive.google.com/file/d/1JmsQa-6ZPt2VzaHbwivthzztjON-iclS/view?usp=sharing #tradingbots #pythoncoding #forexanalysis 00:00 Hoffman Inventory Bar Introduction 03:40 Python Code Details For The Technical Indicator