4.3 (39 ratings)
1,297 students enrolled
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4.3 (39 ratings)
1,297 students enrolled
Created by Nathan Krieger
Last updated 6/2017
English
Current price: \$10 Original price: \$95 Discount: 89% off
30-Day Money-Back Guarantee
Includes:
• 2.5 hours on-demand video
• 9 Articles
• Access on mobile and TV
• Certificate of Completion
What Will I Learn?
• Learn the fundamentals of Algorithmic Trading
• Learn to code in Python
• Learn how to code, backtest, and implement various algo trading strategies
• Learn to how to turn your own ideas into trading algos
View Curriculum
Requirements
• Basic computer skills and a desire to learn
Description

Who is the target audience?
• Anyone new to algo trading!
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Curriculum For This Course
41 Lectures
02:17:08
+
Course Introduction
1 Lecture 05:18
Preview 05:18
+
Jupyter Notebooks & Hello world!
1 Lecture 03:11
Preview 03:11
+
Python for Beginners
18 Lectures 30:10
Numbers
03:40

Numbers Notebook
00:16

Strings
03:57

Strings Notebook
00:26

Variables
03:46

Variables Notebook
00:19

01:17

00:15

Comparison Operators
03:31

Comparison Operators Notebook
00:18

Functions
03:30

Functions Notebook
00:11

If, Else, and Elif Statements
03:24

If, Else, and Elif Statements Notebook
00:23

Lists
02:56

Lists Notebook
00:07

Dictionaries
01:46

Dictionaries Notebook
00:04
+
Quantopian
2 Lectures 09:53
Preview 04:35

Quantopian IDE
05:18
+
Algo 1: FANG Portfolio
6 Lectures 28:08
Initialize, Before Trading, & Handle Data
02:53

Context & Order Target Percent
05:50

Order Types & Short Selling
05:45

Schedule Function & Portfolio Rebalancing
05:49

Historical Data
05:25

Closing Positions & Conclusion
02:26
+
Performance Metrics
2 Lectures 09:39
Performance Metrics
07:00

Common Mistakes
02:39
+
Algo 2: Golden Cross
4 Lectures 16:56
Introduction to Momentum
04:03

02:45

04:08

Plotting Variables & Conclusion
06:00
+
Algo 3: Downhill Pressure
4 Lectures 16:29
Introduction
03:26

Implementing Current Data
02:13

06:05

Hedging & Systemic Risk
04:45
+
Querying Fundamentals
1 Lecture 06:26
Querying Fundamentals
06:26
+
Dynamic Stock Selection
2 Lectures 11:21
Dynamic Stock Selection
08:52

Next Steps
02:29