Determining the price movement of stocks is a challenging problem to solve because of
factors such as industry performance, economic variables, investor sentiment, company …

Stock market prediction is still a challenging problem because there are many factors effect
to the stock market price such as company news and performance, industry performance …

Predicting stock prices is an important objective in the financial world. This paper presents a
novel forecasting model for stock markets on the basis of the wrapper ANFIS (Adaptive …

Abstract A novel Long-Short Term Memory (LSTM)-based prediction model of stock price
reversal point was proposed by using upward/downward reversal point feature sets.(1) …

Few literature comprehensively addresses the process of input engineering for candlestick
price chart and the optimization of model structures as an entire process. Inspired by …

The development of the Indonesian Islamic capital market cannot be separated from the
bullish and bearish phenomena. Bullish and bearish conditions need special attention …

In this study, we investigate the profitability of 10 well-known Japanese candlestick charting
patterns using daily-based data on the component stocks of the Chinese SSE50 index …

This article presents the usefulness of a proposal for a technical indicator based on the On-
Balance-Volume (OBV) and Simple Moving Average (SMA) indicators. The indicator …

Investment in the capital market can help boost a country's economic growth. Without a
doubt, in investing, a technical analysis of the condition of the stock is needed at that time …

The prediction of the stock market has always been a challenging issue, because many
factors will cause the market uncertainty such as national policies, company financial …