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

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

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You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

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