Portfolio Assets Allocation with ML and Optimization for Dividend Stocks | Algo Trading Project

EPAT project presentations on “Portfolio Asset Allocation with Machine Learning: A Practical and Scalable Framework for Machine Learning Development” by two of our esteemed EPAT alumni - by Raimondo Marino from Milan, Italy and “Portfolio Optimization for Dividend Stocks” by Kurt Selleslagh from Singapore.

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Chapters:
00:00 Introduction
05:04 Agenda Project 1: Portfolio Assets Allocation
06:22 Ingredient
08:42 The low-medium FT framework
09:54 What you need
13:34 The machine learning pipeline (1/3)
19:49 The machine learning pipeline (2/3)
21:44 Results of parameter optimization
24:29 The machine learning pipeline (3/3)
26:29 Money management: Montecarlo simulation
28:16 What I learned from EPAT
31:39 Q&A 1
41:06 Agenda Project 2: Portfolio Optimization for Dividend Stocks
43:39 Approach (Step 1 of 6)
46:19 Approach (Step 2 of 6)
48:29 Approach (Step 3 of 6)
53:11 Approach (Step 4 of 6)
55:20 Approach (Step 5 of 6)
56:01 Approach (Step 6 of 6)
59:00 Challenges
01:00:37 Next Steps
01:02:22 Q&A 1

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