Eye Tracking is an important research technique used to analyze the movement of the eye
and to recognize a pattern. Eye Tracking is a frequently used tool to understand the …

This paper presents a hybrid prediction approach for stock price forecasting by combining
Autoregressive Integrated Moving Average (ARIMA) and Seasonal Autoregressive …

Variation of temperature in an area can have a high influence on the given area and
therefore forecasting of temperature can have various benefits. This paper aims to forecast …

Stock market investors are the ones who may directly benefit from a rising economy, and the
value of the investment rises in proportion to economic development, despite the fact that …

Gold is an important commodity that has a significant influence on important business
sectors and the world economy. Its impact on the dynamics of the market reverberates …

Artificial intelligence (AI) is widely implemented in finance for stock price prediction using
deep learning techniques. However, stock data's high volatility and signal-to-noise ratio can …

Time-series forecasting in finance domain is a challenging task as financial data tends to be
very volatile. In this paper, we forecast interest and inflation rates by comparing the …

Predicting the next-day closing price of the NIFTY 50 index presents challenges due to its
complexity, which complicates investment decisions. This study explores advanced …

The price of a single stock is seldom independent. It has been known to brokers and fund
managers, that, they heavily influence each other. Portfolios are built, on the premise of …