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 will learn

Extract up to 20 years of price and volume data for Crypto, Stocks, Commodities, Forex, ETF’s and more

Join price information for up to 5 assets in one data retrieve

Upload your own dataset for using later with Data Engineer

Pull Crypto data directly from Binance and Poloniex

Description

Many retail traders and retail quants are looking to leverage the power of data to find and profit from predictable behaviour in the markets. They are faced with the ever increasing challenge: where to find data affordably and without having to learn programming. Due to popular request, this course has been put together to show you exactly how to use the Crypto Wizards DataBuilder tool in order 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 which 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 capitalise 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 with complex machine learning

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

English
language

Content

Introduction

Introduction – The Power of Data
A Dataset Example

Data Extraction Methods

Data Providers and Types
Extracting 20 Years of Stock and ETF Data
Extracting Crypto and Stock Data
Appending Data to Rows and Why
Dollar Bars – Why and How

Backtesting and Wrap Up

Backtesting: Making Use of Your Data
Wrapping Up

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