[Free] Data Engineer: Prepare Financial Data For Ml And Backtesting
Learn how to extract information out of standard financial data without writing any code using Crypto Wizards software. – Free Course
What you’ll learn
- Extract meaningful features out of mundane price and volume data for Machine Learning and Backtesting
- Join data tables
- Add time steps to your data
- Automatically calculate correlation and cointegration
- Add technical indicators within seconds
- Add conditional features without needing excel
- Filter your data table
- Prepare your data for Machine Learning
Requirements
- You will need to be a registered member with Crypto Wizards to use the features seen in this course
Description
After learning how to extract financial data using Data Builder, you will naturally be wondering how to make use of all the standard data you have pulled. In this course, you will learn how to structure data in such a way that seemingly mundane data can be transferred into useful information that can give you an edge in the financial markets.Using Data Engineer, you will be able to:
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Calculate returns in terms of values, percentages, differences and absolute moves (volatility)
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Add time sequences to your data for predictions in machine learning
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Add correlation and co-integration information comparing any columns/features for any assets
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Add technical indicators
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Add conditions for making predictions about the future
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Add filters for removing unnecessary data
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Prepare your features for machine learning (although not required for backtesting
See you in class.
Author(s): Shaun McDonogh
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