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This course includes:

  • 2.5 hours on-demand video
  • 1 article
  • Full lifetime access
  • Access on mobile and TV
Finance & Accounting Investing & Trading Cryptocurrency

Bitcoin Trading Using Machine Learning with R

Learn to combine unsupervised machine learning and technical analysis to develop reliable trading algorithms using R.
Rating: 4.0 out of 54.0 (8 ratings)
52 students
Created by The Trading Whisperer
Last updated 10/2019
English
30-Day Money-Back Guarantee

What you'll 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

Requirements

  • Basic R or Python
  • data science enthusiast or just curious
  • general awareness of trading

Description

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

Who this course is for:

  • 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

Course content

7 sections • 18 lectures • 2h 18m total length

  • Preview03:20

  • R and Rstudio installation
    05:53
  • Basic R syntaxes and codes - part 1
    08:40
  • Basic R syntaxes and codes - part 2
    10:35

  • Description of our bitcoin trading idea
    05:26

  • Clustering - Unsupervised learning
    03:25
  • Reading
    00:05

  • Preview07:48
  • Trading strategy development - code along - part 1
    07:53
  • Trading strategy development - code along - part 2
    09:27
  • Preview11:18
  • Trading strategy development - code along part 4
    06:48
  • Trading strategy development - code along part 5
    10:04
  • Trading strategy development - code along - part 6
    09:32

  • Trading strategy development - Machine learning - part 1
    09:41
  • Trading strategy development - Machine Learning - part 2
    11:13
  • Trading strategy development - Machine learning - Part 3
    12:32

  • Binance API
    05:19

Instructor

The Trading Whisperer
Data scientist, trader and chairman of an investment club
The Trading Whisperer
  • 3.5 Instructor Rating
  • 105 Reviews
  • 686 Students
  • 6 Courses

Data scientist and passionate about the financial market. I have been trading for the last 3 years with very good results in the last 2 years. I have shifted mainly from a discretionary to a more quantitative trader. I used my skills in machine learning to generate reliable and profitable trading strategies.

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