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
Where to find crypto market data
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.
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