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Algorithmic Trading & Quantitative Analysis Using Python

Build fully automated trading system and Implement quantitative trading strategies using Python
4.6
4.6/5
(2,992 reviews)
24,203 students
Created by

9.6

Classbaze Grade®

9.7

Freshness

8.9

Popularity

9.5

Material

Build fully automated trading system and Implement quantitative trading strategies using Python
Platform: Udemy
Video: 19h 38m
Language: English
Next start: On Demand

Best Algorithmic Trading classes:

Classbaze Rating

Classbaze Grade®

9.6 / 10

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

Freshness

9.7 / 10
This course was last updated on 1/2022.

Course content can become outdated quite quickly.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

8.9 / 10
We analyzed factors such as the rating (4.6/5) 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

9.5 / 10
Video Score: 10.0 / 10
The course includes 19h 38m 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: 8.5 / 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: 9.9 / 10

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

This course contains:

5 articles.
15 resources.
0 exercise.
0 test.

In this page

About the course

Build a fully automated trading bot on a shoestring budget. Learn quantitative analysis of financial data using python. Automate steps like extracting data, performing technical and fundamental analysis, generating signals, backtesting, API integration etc. You will learn how to code and back test trading strategies using python. The course will also give an introduction to relevant python libraries required to perform quantitative analysis. The USP of this course is delving into API trading and familiarizing students with how to fully automate their trading strategies.

You can expect to gain the following skills from this course
•Extracting daily and intraday data for free using APIs and web-scraping
•Working with JSON data
•Incorporating technical indicators using python
•Performing thorough quantitative analysis of fundamental data
•Value investing using quantitative methods
•Visualization of time series data
•Measuring the performance of your trading strategies
•Incorporating and backtesting your strategies using python
•API integration of your trading script
•FXCM and OANDA API
•Sentiment Analysis

What can you learn from this course?

✓ Algorithmic trading and quantitative analysis using python
✓ Carrying out both technical analysis and fundamental analysis programatically
✓ API trading

What you need to start the course?

• Intermediate level expertise in python
• high school level familiarity with mathematics and statistics
• Basic understanding of equity/forex trading

Who is this course is made for?

• traders looking to automate strategies and building automated trading stations, data scientists seeking to work with financial data, anyone curious about quantitative analysis

Are there coupons or discounts for Algorithmic Trading & Quantitative Analysis Using Python ? What is the current price?

The course costs $18.99. And currently there is a 62% discount on the original price of the course, which was $49.99. So you save $31 if you enroll the course now.
The average price is $23.0 of 66 Algorithmic Trading courses. So this course is 17% cheaper than the average Algorithmic Trading course on Udemy.

Will I be refunded if I'm not satisfied with the Algorithmic Trading & Quantitative Analysis Using Python course?

YES, Algorithmic Trading & Quantitative Analysis Using Python 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 Algorithmic Trading & Quantitative Analysis Using Python course, but there is a $31 discount from the original price ($49.99). So the current price is just $18.99.

Who will teach this course? Can I trust Mayank Rasu?

Mayank Rasu has created 7 courses that got 5,631 reviews which are generally positive. Mayank Rasu has taught 37,305 students and received a 4.6 average review out of 5,631 reviews. Depending on the information available, we think that Mayank Rasu is an instructor that you can trust.
Experienced Quant Researcher and Educator
​I have authored and published bestselling courses and books on finance and technology. I have a passion for simplifying seemingly complex topics such as algorithmic trading, machine learning, artificial intelligence and make them accessible to students with no technology/finance background.
I have more than a decade of experience working with global investment banks in the quantitative analysis/risk management areas. My work experience has made me a firm believer in taking data driven decisions while always being mindful of the qualitative aspects of my job. 
I did my undergraduate education in engineering and earned MBA and MFE degrees. I see myself as a life long learner and I deeply cherish the opportunity of sharing my knowledge with others.
Browse all courses by on Classbaze.

9.6

Classbaze Grade®

9.7

Freshness

8.9

Popularity

9.5

Material

Platform: Udemy
Video: 19h 38m
Language: English
Next start: On Demand

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