Develop a Profitable Stock Trading Strategy with R
|File Name:||Develop a Profitable Stock Trading Strategy with R|
|Genre / Category:||Development|
|File Size :||1.1GB|
|Updated and Published:||15 Mar, 2023|
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The stock market and the different elements that influence it
How write an algortihmic trading strategy and do backtest on historical data
Use the quantmod package to market data from Yahoo Finance
Analyse return of the trading strategy and how to improve it
Bner R user
Wilingness to learn
Hungry for profitable trading and investment strats
This is meant to teach how to develop a profitable stock trading strategy in R and backtest it on historical stock market data.
I will share my profitable strategy with you and transfer some valuable skills to you in order to take your trading and investment to the next level.The course is aimed at teaching about trading. You will about the stock market and write algorithm from scratch in R coding along.Course elements:Learn how to write simple and complex codes in r with some r refresher lecture. Learn how to use the quantmod package to access/load free market data from yahoo finance and other sources.Load the data in R and do data preparation and visualization.our trading ideas/hypothesis looking at chart pattern and learn how to generate original trading ideas.Get to understand which technical analysis we will use in the course.Develop the trading strategy and backtest it based on Historical data. We will look at different companies and see how to algorithm perform and how we can make it even more profitable.DisclaimerThis 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 strats 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.
Retail and professional traders
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