200-50 EMA Momentum Universe

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Boot Camp Lessons

Lesson Overview

In this lesson we will select a universe of assets where the 50-EMA is greater than the 200 EMA, create a custom class to hold symbol specific data, and use the history API to prepare our indicators.

What You'll Learn

Laying down our universe foundation
Grouping data with classes
Creating properties and methods to tidy code
Using a history call to prepare indicators

Lesson Requirements

We recommend you complete all previous beginner lessons before starting this lesson.

Lesson Content

	Status

200-50 EMA Momentum Universe	Status
Laying Our Universe Foundation
Grouping Data with Classes
Applying Class In Universe
Preparing Indicators with History

About the Author

QuantConnect Team

Selected group of pseudo-humans that can type without looking at the keyboard and use a super advanced neural network to transform coffee and orange juice into code.

Have a Question?

QuantConnect Q&A

What brokerages do you support? Do you have live trading?

We support live trading with Interactive Brokers, Alpaca, GDAX, FXCM, OANDA, and Bitfinex. We also allow you to do paper trading with Equity, Crypto, Forex and CFD data.

What libraries are white-listed for use in QuantConnect?

See a full list of white listed libraries in our Documentation/Supported Libraries section.

If your library is not there and you want it added please let us know.

I can't code, do you have a visual editor to design algorithms?

We do not have any plans to build a visual algorithm designer. We believe the only way to make money in the markets is with the most powerful, flexible tools available. We recently designed the Algorithm Framework which allows relatively easily assembly of coding blocks to design an algorithm but you still need to have a strong foundation in code. Its this belief which has powered many of the design decisions behind QuantConnect. We were algorithmic traders ourselves for 3 years and built hundreds of algorithms. They ranged from the simple, to incredibly complex. The common theme among them was the need for flexibility which can only be achieved through raw code.

How do I get started learning algorithmic trading or quant finance?

Learning quantitative trading is especially difficult as there is so little public information available. We have sought to address this through the educational materials we make available. We provide a Bootcamp for those unfamiliar with programming or trading concepts, a series of tutorials on implementing a quantitative strategy, and our YouTube channel which is intended to guide you on using the QC API. Inside the Algorithm Lab have the QC University which is a collection of 100+ demonstration algorithms to help you get started.

The QuantConnect community and the algorithms they share are also a great way to get started. There are thousands of members just like yourself who share their journey.

How do I know my intellectual property and algorithm source code are secure?

We take protecting your intellectual property very seriously. We limit the access to the database to key team member who need it, and ensure they have no conflict of interest from trading on our personal accounts.

For those especially concerned we have open sourced the LEAN engine, allowing you to do algorithmic trading entirely on your own servers - proving we're truly trying to empower your trading.

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