Technical Indicator

Technical indicators are quantitative measures derived from market data, used to predict asset price movements and inform trading strategies. Current research focuses on integrating these indicators with advanced machine learning models, such as transformer networks, XGBoost, and various reinforcement learning algorithms, to improve prediction accuracy and optimize trading strategies. This research is significant because it explores the potential of combining traditional technical analysis with sophisticated computational methods to enhance decision-making in financial markets, potentially leading to more efficient and profitable trading systems. The development of robust and reliable predictive models remains a key challenge and area of ongoing investigation.

Papers