Applied Unsupervised learning with Python (Bitcoin trading)
- 3.7
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Brief Introduction
Learn how to use Unsupervised Machine Learning to develop a profitable bitcoin trading strategy.Description
Description
Finally, a course that will teach how to develop profitable trading strategies for cryptocurrencies (Bitcoin). 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 not of good value to people looking to find profitable actionable 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 Python. We will combine technical analysis and machine learning to develop a reliable trading strategy for trading bitcoin on the daily chart.
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?
Explanation of the trading strategy
Where to find crypto market data
Numpy, Pandas, matplotlib
Machine Learning
Unsupervised Learning
Develop and backtest the trading strategy
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
Requirements
- Requirements
- Basic Python
- Jupyther notebook
- awareness of Trading
The Trading Whisperer
3.7 Raiting
Applied Unsupervised learning with Python (Bitcoin trading)
- 3.7
-
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![]()
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Learn how to use Unsupervised Machine Learning to develop a profitable bitcoin trading strategy. Description Finally, a course that will teach how to develop profitable trading strategies for cryptocurrencies (Bitcoin)....
Bitcoin Trading Using Machine Learning with R
- 4
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Learn to combine unsupervised machine learning and technical analysis to develop reliable trading algorithms using R. Description These strategies make use of data analytics and machine learning....
