Stock market trading is an activity in which investors need fast and accurate information to
make effective decisions. Since many stocks are traded on a stock exchange, numerous …

The outbreak of COVID‐19 has brought the world to an unprecedented position where
financial and mental resources are drying up. Livelihoods are being lost, and it is becoming …

This article aims to implement trend forecasting of stock time series based on candlestick
patterns and sequence similarity. Financial time series forecasting plays a central role in …

Quantitative stock trading systems apply automated, data-driven models to invest in the
stock markets. In the last two decades, the machine learning community has deeply …

Foreign exchange (Forex) market is the biggest currency exchange market in the world.
Existing trading systems in Forex markets based on technical analysis use crisp technical …

This article proposes a novel fuzzy recommendation system for stock market investors. This
intelligent decision tool uses fuzzy Japanese candlesticks and includes the effect of currency …

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) …

The decision-making process on investing in financial markets is a very complex and difficult
task, mainly due to the chaotic behavior and high uncertainty in the development of the …

In this paper, the application of the intuitionistic fuzzy rule-base evidential reasoning
(IFRBER) to the development of a new optimized automated trading system (ATS) for the …

Technical analysts believe that by studying past price action, it is possible to forecast future
prices of specific securities. Technical analysts rely on the use of charts, which graphically …