Machine Learning For Algorithmic Trading - Regression Based

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.

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Curriculum For This Course

2 lectures 9m 7s
  • 1. Introduction
    5m 20s
  • 2. How to Succeed in This Course
    3m 47s

5 lectures 44m 22s
  • 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

6 lectures 53m 46s
  • 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

2 lectures 32m 30s
  • 1. Pairs Trading Code Walk Through
    17m 10s
  • 2. Backtest and Performance Analysis
    15m 20s

2 lectures 14m 46s
  • 1. Rationale for Penalized Regression
    3m 1s
  • 2. Application of Penalized Regression to Investing
    11m 45s

2 lectures 27m 46s
  • 1. Kalman Filter Introduction
    14m 24s
  • 2. Backtesting Kalman Filter Based Investing Strategy
    13m 22s

3 lectures 39m 11s
  • 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
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