Implementing Machine Learning for Finance A Systematic Approach to Predictive Risk and Performance Analysis for Investment Portfolios
You will: Understand the fundamentals of the financial market and algorithmic trading, as well as supervised and unsupervised learning models that are appropriate for systematic investment portfolio management Know the concepts of feature engineering, data visualization, and hyperparameter optimizat...
| Main Author: | |
|---|---|
| Format: | eBook |
| Language: | English |
| Published: |
Berkeley, CA
Apress
2021, 2021
|
| Edition: | 1st ed. 2021 |
| Subjects: | |
| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- Chapter 1: Introduction to Financial Markets and Algorithmic Trading
- Chapter 2: Forecasting Using ARIMA, SARIMA, and the Additive Model
- Chapter 3: Univariate Time Series Using Recurrent Neural Nets
- Chapter 4: Discover Market Regimes
- Chapter 5: Stock Clustering
- Chapter 6: Future Price Prediction Using Linear Regression
- Chapter 7: Stock Market Simulation
- Chapter 8: Market Trend Classification Using ML and DL
- Chapter 9: Investment Portfolio and Risk Analysis