Building an AI Driven Portfolio Management System: From Machine Learning Basics to Advanced Implementation

Two important architectures are Artificial Neural Networks and Long Short-Term Memory networks. LSTM networks are especially useful for financial applications because they are designed to work with ...
Scientific Research Publishing

A Mathematical Formulation of the Valuation of Gold as an Inflation Hedge in the United States ()

The literature has long viewed gold as an inflation hedge. The reasoning is that when inflation rises due to macroeconomic ...
Investopedia

How to Use a Tree Diagram for Probability and Decision-Making

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...
IEEE

Fine-Tuning of Predictive Models CNN-LSTM and CONV-LSTM for Nowcasting PM

Abstract: Particulate matter forecasting is fundamental for early warning and controlling air pollution, especially PM2.5. The increase in this level of concentration will lead to a negative impact on ...
IEEE

Channel Estimation Using CNN-LSTM in RIS-NOMA Assisted 6G Network

Abstract: The combination of non-orthogonal multiple access (NOMA) and reconfigurable intelligent surface (RIS) technologies is proposed to meet the demands of data rate, latency, and connectivity in ...
GitHub

A Trading Model Utilizing a Dynamic Weighting and Aggregate Scoring System with LSTM Networks

A regression model and trading strategy for FreqAI module from freqtrade, a crypto trading bot. ⚠️ Since problems have started to arise with the latest versions of Freqtrade (> 2024.02), I will be ...
BBC

Pie charts and frequency diagrams

Once raw data has been collected, you need to represent it in a diagram. Two ways of doing this are to use a pie chart or frequency diagram. In a survey, 100 school students were asked to name their ...