Machine Learning For Algorithmic Trading - Regression Based
BEST SELLER
22 Lectures
3h 41m 28s
Prepare for your examination with our training course. The course contains a complete batch of videos that will provide you with profound and thorough knowledge related to certification exam. Pass the test with flying colors.
$14.99
$19.49
Curriculum For This Course
-
1. Introduction5m 20s
-
2. How to Succeed in This Course3m 47s
-
1. Introduction and Classification of Machine Learning10m 31s
-
2. Introduction to Machine Learning development Work Flow using Linear Regression9m 39s
-
3. Characteristic of Financial Time Series and Linear Regression Assumptions10m 27s
-
4. Effects of Outliers on Machine Learning Model5m 20s
-
5. Model Selection and Quant Workflow8m 25s
-
1. Pairs Trading and Machine Learning6m 38s
-
2. Understanding the Data (Data Exploration)14m 10s
-
3. Python statsmodel Library9m 7s
-
4. Python scikit-learn Library6m 46s
-
5. Cointegration Test3m 56s
-
6. Trading Logic13m 9s
-
1. Pairs Trading Code Walk Through17m 10s
-
2. Backtest and Performance Analysis15m 20s
-
1. Rationale for Penalized Regression3m 1s
-
2. Application of Penalized Regression to Investing11m 45s
-
1. Kalman Filter Introduction14m 24s
-
2. Backtesting Kalman Filter Based Investing Strategy13m 22s
-
1. Introduction to Multi-Assets Trend Following Strategies10m 49s
-
2. Machine Learning and Multi-Assets Trend Following Strategies14m 36s
-
3. Backtesting Multi-Assets Trend Following Machine Learning Strategies13m 46s
