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Deep Learning Trading Strategy from the beginning to the production using TensorFlow 2.0 and TFX
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This is the first episode of the video series where we will try to create a trading strategy using the data science approach, deep learning models, TensorFlow 2.0 and tfx pipeline.
In this episode we will try to understand a business area, define our first goals and metrics. In the next episodes we will dive deep into detail and implementation.
00:03 Idea introduction
01:12 Data Science approach
01:38 KPI definition
02:10 Questions to identify the type of task
02:31 Metrics
02:45 Presentation of the simplest trading idea
03:27 Task definition
03:35 Classification accuracy definition
03:50 Take Profit, Stop Loss and ROI
04:36 Maximum waiting period
05:02 Summary
In this episode we will try to understand a business area, define our first goals and metrics. In the next episodes we will dive deep into detail and implementation.
00:03 Idea introduction
01:12 Data Science approach
01:38 KPI definition
02:10 Questions to identify the type of task
02:31 Metrics
02:45 Presentation of the simplest trading idea
03:27 Task definition
03:35 Classification accuracy definition
03:50 Take Profit, Stop Loss and ROI
04:36 Maximum waiting period
05:02 Summary
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