Oct 2, 2024 · Machine Learning for Customer Segmentation. Our financial advisory system uses machine learning for customer segmentation and personalised recommendations. How it …

Nov 18, 2022 · We researched how to use financial technology in the finance industry on the example of robo-advisors; defined the basic functionality of a robo-advisor; got the robo …

we revealed the high-level architecture of robo-advisor. Part 4 is devoted to asset yield prediction using machine-learning techniques through model of investment portfolio.

Sep 14, 2022 · Using Markowitz model, we set up a concept of a robo-advisor application for investors who have different attitudes towards risks. Our goal is to cover the main features of …

We researched how to use financial technology in the finance industry on the example of robo-advisors; defined the basic functionality of a robo-advisor; got the robo-advisors …

Large data sets used in conjunction with machine learning are telling and predictive for different points in time. Our research attempts to define a model that can be utilized by financial …

Nov 1, 2019 · Robust architecture designs is one of the common traits of a successful enterprise financial ecosystem. This article discusses the use cases, benefits and pitfalls and the …

Machine Learning based ARIMA classification algorithm gives out an analytical system and investment planning. These algorithms analyze the real trend and historical data where the …

Machine learning is expected to become crucial to the functioning of financial mar‐kets. Analysts, portfolio managers, traders, and chief investment officers should all be familiar with ML …

This project by Vincent Koc and Hung Nguyen demonstrates how to build a personalized AI Financial Advisor using Python, OpenAI's GPT model, and Google Sheets or local CSV data. …