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Welcome back! In today's tutorial, we explore how to build an advanced indicator that operates on multiple timeframes in parallel, and translates signals from one timeframe to another. We will use the daily and 4-hour timeframes as examples. I will guide you through creating a custom indicator in Python on the daily timeframe and translating the signal into the 4H timeframe. This method can be applied to any timeframe you desire. The Python code used in this video is available for download from the link below, along with the data files for your experiments. Multi-timeframe analysis provides a clearer picture of market trends and reduces noise. In this video, we will identify rejection candles on the daily timeframe and transmit the signal to the 4H timeframe, allowing us to combine daily signals with patterns occurring on lower timeframes for confirmation. Coding and testing this in Python will definitely enhance your understanding of the details and improve trading your strategy with multi-timeframe analysis. ╔═╦═╦═╦═╦═╦═╦═╦═╦═╦═╦═╦═╦═╦═╦═╦═╦═╦══╦═╦═╦══╦═╦═╦══╦═╦═╦ 📘 Book available on Amazon (Algorithmic Trading Hands-On Approach Using Python): https://a.co/d/6woMBHt 💲 Algorithmic Trading Courses and Python for all levels (Udemy Sale Coupons): https://www.codetradingcafe.com/ Happy learning, happy coding ☕ ╚═╩═╩═╩═╩═╩═╩═╩═╩═╩═╩═╩═╩═╩═╩═╩═╩═╩═╩═╩═╩═╩═╩═╩═╩═╩═╩═╩═╩ Download the code and the data files... and enjoy coding: https://drive.google.com/drive/folders/1rGBi9K6d5l8x0DFlkV9OfiLsXe4am2la?usp=sharing #backtesting #algorithmictrading #tradingsignals #timeframe #tradingmethods #tradingstrategy
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