The objective of the proposed work is to study and improve the supervised learning
algorithms to predict the effect of various kind of government, policy related, corporate …

This paper focuses on developing an algorithm for trading in the Indian stock market which
outperforms the benchmark strategy. We used technical indicators as our input to predict the …

Purpose This paper aims to detect the most profitable, ie optimal turning points (TPs), from
the history of time series using a binary integer programming (BIP) model. TPs prediction …

Many of the trading strategies viewed as highly important by to financial market investors, we
developed based on fundamental and technical analysis. We propose a stock trading …

Objetivo: Este artículo propone para la literatura sobre inversión de activos de renta variable
una metodología aplicada a través de Algoritmos Genéticos (AG) y su implementación en el …

Due to the advanced and hasty development of technology nowadays, researches in
relation to Artificial Intelligence (AI) such as Machine Learning (ML), Genetic Algorithm (GA) …

Rainfall prediction has emerged as a challenging time-series prediction problem in recent
years. In this paper, we propose a novel rainfall prediction technique using effective feature …

The purpose of this study is to explore the importance and ranking of technical analysis
variables in Turkish banking sector. Random Forest method is used for determining …

Objective: One of the concerns of financial market investors is adopting a profitable trading
strategy, which is based on profitable turning points (TPs). To achieve this target, it is …

هدف: اتخاذ استراتژی معاملاتی سودده، یکی از دغدغه‌های سرمایه‌گذاران بازار مالی است. این استراتژی،
بر پایه نقاط معاملاتی یا نقاط عطفِ سودده شکل می‌گیرد و لازمه دستیابیِ به آن، پیش‌بینی نقاط …‎