Machine Learning For Algorithmic Trading - Regression Based

What’s included

$14.99 / $24.99

Get ready for your exam by enrolling in our comprehensive training course. This course includes a full set of instructional videos designed to equip you with in-depth knowledge essential for passing the certification exam with flying colors.

4.59

Pay once, own it forever

Video Courses

Introduction

Lectures	Duration
1. Introduction	5m 20s
2. How to Succeed in This Course	3m 47s

1. Introduction

5m 20s

2. How to Succeed in This Course

3m 47s

Introduction to Machine Learning for Algorithmic Trading and Investing

Lectures	Duration
1. Introduction and Classification of Machine Learning	10m 31s
2. Introduction to Machine Learning development Work Flow using Linear Regression	9m 39s
3. Characteristic of Financial Time Series and Linear Regression Assumptions	10m 27s
4. Effects of Outliers on Machine Learning Model	5m 20s
5. Model Selection and Quant Workflow	8m 25s

1. Introduction and Classification of Machine Learning

10m 31s

2. Introduction to Machine Learning development Work Flow using Linear Regression

9m 39s

3. Characteristic of Financial Time Series and Linear Regression Assumptions

10m 27s

4. Effects of Outliers on Machine Learning Model

5m 20s

5. Model Selection and Quant Workflow

8m 25s

Machine Learning and Pairs Trading

Lectures	Duration
1. Pairs Trading and Machine Learning	6m 38s
2. Understanding the Data (Data Exploration)	14m 10s
3. Python statsmodel Library	9m 7s
4. Python scikit-learn Library	6m 46s
5. Cointegration Test	3m 56s
6. Trading Logic	13m 9s

1. Pairs Trading and Machine Learning

6m 38s

2. Understanding the Data (Data Exploration)

14m 10s

3. Python statsmodel Library

9m 7s

4. Python scikit-learn Library

6m 46s

5. Cointegration Test

3m 56s

6. Trading Logic

13m 9s

Backtesting Pairs Trading

Lectures	Duration
1. Pairs Trading Code Walk Through	17m 10s
2. Backtest and Performance Analysis	15m 20s

1. Pairs Trading Code Walk Through

17m 10s

2. Backtest and Performance Analysis

15m 20s

Penalized Regression for Investing

Lectures	Duration
1. Rationale for Penalized Regression	3m 1s
2. Application of Penalized Regression to Investing	11m 45s

1. Rationale for Penalized Regression

3m 1s

2. Application of Penalized Regression to Investing

11m 45s

Kalman Filter

Lectures	Duration
1. Kalman Filter Introduction	14m 24s
2. Backtesting Kalman Filter Based Investing Strategy	13m 22s

1. Kalman Filter Introduction

14m 24s

2. Backtesting Kalman Filter Based Investing Strategy

13m 22s

Machine Learning and Multi-Assets Trend Following Strategies

Lectures	Duration
1. Introduction to Multi-Assets Trend Following Strategies	10m 49s
2. Machine Learning and Multi-Assets Trend Following Strategies	14m 36s
3. Backtesting Multi-Assets Trend Following Machine Learning Strategies	13m 46s

1. Introduction to Multi-Assets Trend Following Strategies

10m 49s

2. Machine Learning and Multi-Assets Trend Following Strategies

14m 36s

3. Backtesting Multi-Assets Trend Following Machine Learning Strategies

13m 46s