Course Information
Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
4 Hour(s) 2 Minute(s)
Language
English
Taught by
Eric Summers
Rating
Course Overview
Learn to write programs that algorithmically trade cryptocurrencies using QuantConnect (C#)
Eric Summers shows you how to use QuantConnect to write your own algorithmic trading programs to trade cryptocurrency LIVE in the market! Students will learn how to use the QC coding environment to create algorithms, run backtests on historical data, and interpret their results to optimize their programs. By the end of the class, students will know how to connect their programs to their GDAX account and launch their algorithms LIVE in the market. Course covers basic programming etiquette (C#), using QC's built in Indicators, Loops and Conditionals, Logging Data, Plotting Charts, Debugging, as well as breaking down different strategies that are used by some of the best traders...
Course Content
- 1 section(s)
- 12 lecture(s)
- Section 1 Welcome to your Crypto Trading Course!
What You’ll Learn
- Build your own trading algorithms and run them LIVE in the market, making you money while you relax and enjoy your life!, Implement different strategies into code and backtest with historical data, Be able to create automated trading programs that trade for you 24 hours a day, 7 days a week, Create variables, QC Indicators, dictionaries, lists, custom classes, and good programming etiquette in C#
Skills covered in this course
Reviews
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RRicardo
I liked the course. It's short, and that made me hesitate, especially since it's an old course and the platform doesn't even look the same, but I would still take it again because it teaches very well. I liked the way it covered the concepts, and if anyone is wondering whether to buy it or not, it's a very good option in my opinion.
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JJaroslav Tupý
Generally speaking, the course was good. It did help me in the first orientation in QuantConnect (QC). The one star is subtracted for two reasons: A) The course is old and hasn't been updated in a while so the QC website looks very different today then it did back in 2018 (last update as of 2nd Jul 2024); B) This course was quite short. I would prefer a longer one that goes in much more depth regarding the technical aspects, e.g. monitoring order execution (almost not covered at all), the "under the hood" of how QC executes the code, etc.
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OOkiTrader _
This course advanced my deployment of live trading on the Quanctconnect platform. Although I would have preferred this course in python, one reason why I think there are fewer users, I think a new door was opened using C#. I don't think this course is for someone with no programming background. List, dictionaries, and class objects are all subjects that require additional references. I do like that we did not spend a 25% of the course going over these basics, which would be outside of the course objectives. Ultimately I think the course needs more engagement. At this time, there were only 20 questions asked by the community. The lecturer did not answer some questions in the answer section. Ultimately I have learned a few things in other lectures by viewing student questions or comments. Overall I am very appreciative of this course. There isn't much content about Quantconnect on the internet, with most content being developed for Quantopian. I chose Quantconnect because of crypto brokerage connections, live paper trading, and it is the most professional platform available as a private Quant.
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EEd Cavanaugh
I was interested in ForEx instead of Crypto but this course was a great intro to QuantConnect and how to code/deploy algos. It was entertaining too!
