The stock market is a key pivot in every growing and thriving economy, and every investment
in the market is aimed at maximising profit and minimising associated risk. As a result …

The technical indicators are highly uncertain therefore possess greater influence on the
stock market prediction. Among different techniques developed for effective prediction of the …

Addressing price forecasting problems is an important exercise to policymakers and market
participants in the resource business sector. In this work, we build Gaussian process …

For market players and policy officials, commodity price forecasts are crucial problems that
are challenging to address due to the complexity of price time series. Given its strategic …

Many investors in order to predict stock prices use various techniques like fundamental
analysis and technical analysis and sometimes rely on the discussions provided by various …

Stock markets are affected by many uncertainties and interrelated economic and political
factors at both local and global levels. The key to successful stock market forecasting is …

Social network media analytics is showing promise for prediction of financial markets.
However, the true value of such data is unclear due to a lack of consensus on which …

Stock market prediction is the challenging area for the investors to yield profits in the
financial markets. The investors need to understand the financial markets which are more …

The recognition of the value and importance of recognizing patterns in the stock market is
widely accepted. As a result, using innovative decision-making strategies is expected to lead …

Stock market prediction is a subject of great interest within the finance industry and beyond.
In this context, our research investigates the use of reinforcement learning through …