Classbaze

Disclosure: when you buy through links on our site, we may earn an affiliate commission.

Develop a Profitable Stock Trading Strategy with R

Learn how to code a profitable stock trading strategy in R and backtest it on historical stock market data
3.2
3.2/5
(14 reviews)
237 students
Created by

6.9

Classbaze Grade®

6.7

Freshness

5.8

Popularity

7.6

Material

Learn how to code a profitable stock trading strategy in R and backtest it on historical stock market data
Platform: Udemy
Video: 2h 23m
Language: English
Next start: On Demand

Best Algorithmic Trading classes:

Classbaze Rating

Classbaze Grade®

6.9 / 10

CourseMarks Score® helps students to find the best classes. We aggregate 18 factors, including freshness, student feedback and content diversity.

Freshness

6.7 / 10
This course was last updated on 8/2019.

Course content can become outdated quite quickly. After analysing 71,530 courses, we found that the highest rated courses are updated every year. If a course has not been updated for more than 2 years, you should carefully evaluate the course before enrolling.

Popularity

5.8 / 10
We analyzed factors such as the rating (3.2/5) and the ratio between the number of reviews and the number of students, which is a great signal of student commitment.

New courses are hard to evaluate because there are no or just a few student ratings, but Student Feedback Score helps you find great courses even with fewer reviews.

Material

7.6 / 10
Video Score: 7.9 / 10
The course includes 2h 23m video content. Courses with more videos usually have a higher average rating. We have found that the sweet spot is 16 hours of video, which is long enough to teach a topic comprehensively, but not overwhelming. Courses over 16 hours of video gets the maximum score.
The average video length is 6 hours 18 minutes of 66 Algorithmic Trading courses on Udemy.
Detail Score: 9.3 / 10

The top online course contains a detailed description of the course, what you will learn and also a detailed description about the instructor.

Extra Content Score: 5.5 / 10

Tests, exercises, articles and other resources help students to better understand and deepen their understanding of the topic.

This course contains:

0 article.
0 resource.
0 exercise.
0 test.

In this page

About the course

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.

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.

What can you learn from this course?

✓ The stock market and the different elements that influence it
✓ Technical analysis
✓ How write an algortihmic trading strategy and do backtest on historical data
✓ Use the quantmod package to download market data from Yahoo Finance
✓ Analyse return of the trading strategy and how to improve it
✓ Trading

What you need to start the course?

• Beginner R user
• Wilingness to learn
• Hungry for profitable trading and investment strategies

Who is this course is made for?

• Data scientist
• Retail and professional traders
• finance professionals
• enthusiats

Are there coupons or discounts for Develop a Profitable Stock Trading Strategy with R ? What is the current price?

The course costs $14.99. And currently there is a 82% discount on the original price of the course, which was $84.99. So you save $70 if you enroll the course now.
The average price is $23.0 of 66 Algorithmic Trading courses. So this course is 35% cheaper than the average Algorithmic Trading course on Udemy.

Will I be refunded if I'm not satisfied with the Develop a Profitable Stock Trading Strategy with R course?

YES, Develop a Profitable Stock Trading Strategy with R has a 30-day money back guarantee. The 30-day refund policy is designed to allow students to study without risk.

Are there any financial aid for this course?

Currently we could not find a scholarship for the Develop a Profitable Stock Trading Strategy with R course, but there is a $70 discount from the original price ($84.99). So the current price is just $14.99.

Who will teach this course? Can I trust The Trading Whisperer?

The Trading Whisperer has created 6 courses that got 141 reviews which are generally positive. The Trading Whisperer has taught 889 students and received a 3.4 average review out of 141 reviews. Depending on the information available, we think that The Trading Whisperer is an instructor that you can trust.
Data scientist, trader and chairman of an investment club
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.
Browse all courses by on Classbaze.

6.9

Classbaze Grade®

6.7

Freshness

5.8

Popularity

7.6

Material

Platform: Udemy
Video: 2h 23m
Language: English
Next start: On Demand

Classbaze recommendations for you