
Part 2 is where we will transitions the class from basic skills, into quantitative analysis. We will take a deep dive into many concepts of quantitative analysis, using a broad spectrum of tools such as Excel, Python, and Tradestation.
Quick Breakdown
-
This is an 60+ hour course with homework
-
You will need Python, Tradestation, and Excel
-
Homework is graded and looked over by Tri
-
Foundational Course In Quantitive Analysis
-
Includes Quant Trading 101
-
Private Discord Chat Just For Training Members
-
Weekly Meetings Every Sunday
-
Comes with another piece of on Demand Content Called "Quant Trading 101" [7 hours].
-
How to write code, test code, validate strategies, and much much more
Course curriculum
-
01
The Legal Stuff
-
Disclaimer
-
Privacy Statement
-
Terms And Services
-
Other Rights And Limitations
-
-
02
What You Will Need For This Class And Helpful Guides
-
Weekly Q&A
-
Software And Hardware
-
For Windows User Only: Problem With Terminal In Jupyter Notebook
-
Mac OSX Catalina Fix (If You Do Not Want To Change Your Bash)
-
Kill Tradestation
-
Tradestation Easy Language Handbook
-
Tradestation Calculated Indices
-
Trade Navigator Programing Language
-
Build Alpha Signal Glossary
-
Slippage And Commission For Each Futures Market
-
-
03
Basic Information
-
Changing The Quality Of The Video
-
Quant CookBook
-
What Is Normalization
-
Family Of Indicators
-
Different Bar Types
-
Different Bar Patterns
-
What is Seasonality ?
-
What Are Spreads ?
-
What is Volatility ?
-
What is Correlation?
-
What is a backtest ?
-
What is optimization?
-
What are validation techniques?
-
What is a portfolio?
-
-
04
Basics Of Tradestation
-
Lesson 1
-
Lesson 2
-
Lesson 3
-
Lesson 4
-
Lesson 5
-
Lesson 6
-
Lesson 7
-
Lesson 8
-
Best Practices And Trouble Shooting TS
-
What happens when I hold a position into the next trading session?
-
-
05
Tradestation Coding
-
Lesson 1
-
Lesson 2
-
Lesson 3
-
Lesson 4
-
Lesson 5
-
Lesson 6
-
Lesson 7
-
Lesson 8
-
Lesson 9
-
Lesson 10
-
Lesson 11
-
Lesson 12
-
Lesson 13
-
Lesson 14
-
Lesson 15
-
Lesson 16
-
Lesson 17
-
Lesson 18
-
Best Practices And Trouble Shooting TS
-
-
06
Basics Of Python
-
Lesson 1
-
Lesson 2
-
Lesson 3
-
Lesson 4
-
Lesson 5
-
Lesson 6
-
Lesson 7
-
Lesson 8
-
Lesson 9
-
Lesson 10
-
-
07
Python In Finance
-
Lesson 1
-
Lesson 2
-
Lesson 3
-
Lesson 4
-
Lesson 5
-
Lesson 6
-
Lesson 7
-
Lesson 8
-
-
08
Build Alpha
-
Lesson 1
-
Lesson 2
-
Lesson 3
-
Lesson 4
-
Lesson 5
-
Lesson 6
-
Lesson 7
-
Lesson 8
-
Lesson 9
-
Lesson 10
-
Lesson 11
-
Lesson 12
-
-
09
Downloading Data From Alternative Sources
-
Trade Nav Data
-
Quandal
-
Tick Data Dot Com
-
-
10
Special Guest Speakers
-
David Bergstrom
-
-
11
Code Hunter Homework
-
Bounty 1
-
Bounty 2
-
Bounty 3
-
Bounty 4
-
Bounty 5
-
Bounty 6
-
Bounty 7
-
Bounty 8
-
Bounty 9
-
Bounty 10
-
Bounty 11
-
-
12
Extra Reading Material
-
Book List
-
-
13
Survey/Rate This Class
-
Survey
-
Leave A Written Review
-
-
14
Live Sessions(Old Course)
-
History
-
Basic Math Terms
-
Understanding Normalization
-
Example Of Normalization/Homework
-
Lesson 4
-
Lesson 5
-
Lesson 6
-
Homework For Lesson 6
-
Lesson 7
-
Lesson 8
-
Lesson 9
-
Lesson 10
-
Lesson 11
-
Lesson 12
-
Lesson 13
-
Lesson 14
-
Lesson 15
-
Lesson 16
-
Lesson 17
-
Lesson 18
-
Lesson 19
-
Lesson 20
-
Lesson 21
-
Lesson 22
-
Lesson 23
-
Lesson 24
-
Lesson 25
-
Lesson 26
-
Lesson 27
-
Lesson 28
-