Course Report
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Course Features
Duration
50 hours
Delivery Method
Online
Available on
Limited Access
Accessibility
Desktop, Laptop
Language
English
Subtitles
English
Level
Advanced
Teaching Type
Self Paced
Video Content
50 hours
Course Description
Course Overview
International Faculty
Post Course Interactions
Hands-On Training,Instructor-Moderated Discussions
Case Studies, Captstone Projects
Skills You Will Gain
Prerequisites/Requirements
Some familiarity with t-statistics and autoregressive model is useful but not mandatory
The track covers knowledge of Python for trading, which will help you to replicate the models in your trading
You should understand the basic terminology around financial markets such as sell, buy, margin, entry, exit positions, etc
What You Will Learn
Apply position sizing and capital allocation using Kelly Criterion, Modern Portfolio Theory, and Risk Parity, and evaluate portfolio performance using Sharpe ratio, maximum drawdown, gain to pain ratio and Grit ratio
Build a screener to monitor different stocks and identify stocks for short selling, taught by expert Laurent Bernut
Create and backtest time series momentum and cross sectional momentum strategy using price and fundamental data
Implement academic research and seasonal trading strategies, taught by Quantpedia researchers
Learn about mean reversion trading strategies taught by Dr. Ernest Chan, who employed these techniques in his own hedge fund and trading experience
One click integration of quantitative models into live trading platform to analyze strategies in live trading environment