Bitcoin Trading Using Machine Learning with R
Bitcoin Trading Using Machine Learning with R, available at $34.99, has an average rating of 2.95, with 18 lectures, based on 14 reviews, and has 100 subscribers.
You will learn about Bitcoin and the Blockchain Cryptocurrency Exchanges Binance API Plotting Market Data using the Quantmod package Develop and backtest the trading strategy in R The use of Unsupervised Machine Learning for Trading This course is ideal for individuals who are Investment professionals who is interested in the cryptocurrency trading space or Investment professionals and students who would are sourcing innovative investment ideas or Anyone looking for ideas and the development of quantitative trading strategy or Any R or Python or Any data analysis/analytics enthusiast or Pro or Amateur trader It is particularly useful for Investment professionals who is interested in the cryptocurrency trading space or Investment professionals and students who would are sourcing innovative investment ideas or Anyone looking for ideas and the development of quantitative trading strategy or Any R or Python or Any data analysis/analytics enthusiast or Pro or Amateur trader.
Enroll now: Bitcoin Trading Using Machine Learning with R
Summary
Title: Bitcoin Trading Using Machine Learning with R
Price: $34.99
Average Rating: 2.95
Number of Lectures: 18
Number of Published Lectures: 18
Number of Curriculum Items: 18
Number of Published Curriculum Objects: 18
Original Price: $149.99
Quality Status: approved
Status: Live
What You Will Learn
- Bitcoin and the Blockchain
- Cryptocurrency Exchanges
- Binance API
- Plotting Market Data using the Quantmod package
- Develop and backtest the trading strategy in R
- The use of Unsupervised Machine Learning for Trading
Who Should Attend
- Investment professionals who is interested in the cryptocurrency trading space
- Investment professionals and students who would are sourcing innovative investment ideas
- Anyone looking for ideas and the development of quantitative trading strategy
- Any R or Python
- Any data analysis/analytics enthusiast
- Pro or Amateur trader
Target Audiences
- Investment professionals who is interested in the cryptocurrency trading space
- Investment professionals and students who would are sourcing innovative investment ideas
- Anyone looking for ideas and the development of quantitative trading strategy
- Any R or Python
- Any data analysis/analytics enthusiast
- Pro or Amateur trader
Description
Finally, a series of courses that will teach how to develop quantitative trading strategies for important asset classes. This course is a way to share with you some of my profitable trading ideas, that you can always take forward, modify as you please and even increase its profitability.
There are many courses out there that teach the use of R or Python for finance even trading, but only on that theory and the strategy they show are merely basic and are not of good value to people looking to find profitable trading ideas/strategies. I want to reverse that trend by teaching and sharing with you my profitable trading ideas which I have developed after many years of investigation, research and putting real funds on the line. These strategies make use of data analytics and machine learning.
In this course, we are to develop the BTC-ema trading strategy using the statistical programming language R.
This course aims at being focus on the development of the trading strategy and will go in-depth with coding along lectures, where the student has the ability to follow and develop the strategy himself instead of copying and pasting the codes from a document. Nevertheless the codes will be made available on files for downloading purposes.
What will you learn?
-
Bitcoin and the Blockchain
-
Cryptocurrency exchanges
-
Where to find crypto market data
-
Binance API
-
Plotting Market Data using the Quantmod package
-
Develop and backtest the trading strategy
-
Unsupervised machine learning
If you are looking for a course where you learn to develop and original trading idea for bitcoin (Applicable to Litcoin and Ethereum), this is your course.
Disclaimer
This course is for educational purpose and does not constitute trading or investment advice. All content, teaching material and codes are presented with sharing and learning purpose and with no guarantee of exactness or completeness.
No past performance is indicative of future performance and the trading strategies presented here are based on hypothetical and historical backtesting. Trading futures, forex and options involves the risk of loss. Please consider carefully if trading is appropriate to your financial situation. Only risk capital you can afford to lose, and the risk of loss being substantial, you should consider carefully the inherent risks
Who is the target audience?
-
Investment professionals who is interested in the cryptocurrency trading space
-
Investment professionals and students who would are sourcing innovative investment ideas
-
Anyone looking for ideas and the development of quantitative trading strategy
-
Any R enthusiast
-
Any data analysis/analytics enthusiast
Course Curriculum
Chapter 1: Introduction
Lecture 1: Introduction
Chapter 2: R refresher
Lecture 1: R and Rstudio installation
Lecture 2: Basic R syntaxes and codes – part 1
Lecture 3: Basic R syntaxes and codes – part 2
Chapter 3: Our Trading idea/hypothesis
Lecture 1: Description of our bitcoin trading idea
Chapter 4: Introduction to unsupervised machine learning
Lecture 1: Clustering – Unsupervised learning
Lecture 2: Reading
Chapter 5: Trading strategy development – Bitcoin
Lecture 1: How to get bitcoin market data
Lecture 2: Trading strategy development – code along – part 1
Lecture 3: Trading strategy development – code along – part 2
Lecture 4: Trading strategy development – code along – part 3
Lecture 5: Trading strategy development – code along part 4
Lecture 6: Trading strategy development – code along part 5
Lecture 7: Trading strategy development – code along – part 6
Chapter 6: Trading Strategy Development – adding maching learning – Bitcoin
Lecture 1: Trading strategy development – Machine learning – part 1
Lecture 2: Trading strategy development – Machine Learning – part 2
Lecture 3: Trading strategy development – Machine learning – Part 3
Chapter 7: Bonus – How to trade live with binance API
Lecture 1: Binance API
Instructors
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The Trading Whisperer
Data scientist, trader and chairman of an investment club
Rating Distribution
- 1 stars: 3 votes
- 2 stars: 1 votes
- 3 stars: 4 votes
- 4 stars: 4 votes
- 5 stars: 2 votes
Frequently Asked Questions
How long do I have access to the course materials?
You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!
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