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Data Builder: Get Any Financial Data Using Crypto Wizards

Data Builder: Get Any Financial Data Using Crypto Wizards

Instantly extract crypto, stocks, forex, ETF, commodities, and other data to find an edge without writing any code.

What you’ll learn

Data Builder: Get Any Financial Data Using Crypto Wizards

  • Extract up to 20 years of price and volume data for Crypto, Stocks, Commodities, Forex, ETF, and more
  • Join price information for up to 5 assets in one data retrieve
  • Upload your dataset for use later with Data Engineer
  • Pull Crypto data directly from Binance and Poloniex


  • You will need to be a registered member of Crypto Wizards to access the features in this course


Many retail traders and retail quants are looking to leverage the power of data to find and profit from predictable behavior in the markets. They are faced with the ever-increasing challenge: where to find data affordably and without having to learn to program. Due to popular requests, this course has been put together to show you exactly how to use the Crypto Wizards DataBuilder tool to do this quickly without hassle.

Data is powerful. In this course, you will learn how to extract any financial data you like for both intraday and daily data and add complex information to your dataset that you simply just cannot find anywhere else. This includes adding in co-integration (see statistical arbitrage course), technical indicators, and more.

This course has been designed for registered members of the software platform, Crypto Wizards. If you are not a registered member, you will likely not get much out of this course. However, you will learn about general principles around financial time series data and equally gain some knowledge on how how to capitalize on this.

We will cover:

  • How to extract and join multiple assets worth of time-series data within a few clicks
  • How to add technical indicators
  • How to add relationship metrics such as correlation and co-integration
  • How to convert time series to dollar bars and why
  • How to append data as rows instead of columns to support complex machine learning

This course is a primer and precursor to the follow-up course: Data Engineer. To perform feature engineering on your data, you must first know how to extract and structure basic data.

Who this course is for:

  • Retail traders and retail quants looking for easy access to infinite data

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