Article’s

Lursen Finance is a machine learning–based smart trading recommendation application that analyzes historical and real-time market data, including prices, volumes, and technical indicators, to identify patterns and trends. It addresses challenges in manual trading such as emotional bias, incomplete information, and time constraints by providing actionable insights instead of raw data. The system uses preprocessing, feature extraction (moving averages, RSI, MACD), and predictive models like Random Forest and LSTM, along with sentiment analysis for enhanced forecasting. It generates buy, sell, or hold recommendations with risk assessment through a scalable and modular pipeline. Experimental results indicate improved prediction accuracy, reduced risk exposure, and consistent performance across different market conditions.