If you are a retail trader or quantitative analyst who wants to prepare financial data for machine learning and backtesting without writing code, this course teaches you how to use Crypto Wizards' Data Engineer software. It covers calculating returns, adding time sequences, correlation and cointegration, technical indicators, conditional features, filtering, and preparing features for machine learning.

This Course Offers

• A No Code Approach to Financial Data Engineering: You will learn how to extract meaningful features from price and volume data for Machine Learning and backtesting without writing a single line of code.
• Hands On with Data Transformation: The course covers joining data tables, adding time steps, calculating correlation and cointegration, adding technical indicators within seconds, and adding conditional features without Excel.
• Practical Data Preparation Skills: You will learn how to filter data tables, prepare your data for Machine Learning, and calculate returns in terms of values, percentages, differences, and absolute moves (volatility).
• A Platform Specific Approach: The course is built to teach users how to use the Crypto Wizards platform, though you can still take valuable principles away and code this yourself using Python or another data science approach.

Why We Love This Course

1. It offers a no code alternative. If you want to prepare financial data for ML but do not want to learn Python, this course shows you how to do it using visual tools.
2. It is focused on practical financial data engineering. The specific techniques covered, such as adding time sequences for predictions, correlation, cointegration, and technical indicators, are directly applicable to trading and backtesting.
3. It is taught by an experienced instructor. Shaun McDonogh has a 4.6 star rating and positive reviews praising his teaching methodology and engaging content.
4. It covers the full data preparation pipeline. From downloading data to adding features to preparing for ML, the course covers the complete workflow.

If you are a retail trader or quantitative analyst who is a registered member of Crypto Wizards, this course provides a practical, no code guide to preparing financial data for machine learning and backtesting. Note that you need to be a registered member of Crypto Wizards to use the features seen in this course, and the course was last updated in 2022.

• Retail traders and retail quants looking to gain an edge in the financial and crypto markets through data engineering.
• Traders who want to prepare data for machine learning and backtesting but do not want to learn Python or other programming languages.
• Registered Crypto Wizards members who want to learn how to use the Data Engineer platform effectively.
• Anyone who wants to understand the principles of financial data preparation, even if they plan to code their own solution later.

• You will need to be a registered member with Crypto Wizards to use the features seen in this course.
• No coding experience is required, as the course uses a no code platform.
• A basic understanding of financial data and trading concepts is helpful.

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