Nickolas DiscolllEnhancing Stock Return Predictions in the S&P 500: A Comparative Study of Random Forests and LSTM…Leveraging Multi-Feature Approaches for Superior Intraday Trading Performance from 1990 to 20181d ago1d ago
Nickolas DiscolllForecasting NVIDIA’s Stock with AI: A Study of Predictive ModelsEvaluating the Performance of ARIMA, LSTM, MLP, and ARIMA-GARCH Models Over Five Years3d ago33d ago3
Nickolas DiscolllEnhancing MASI Predictions with Artificial Neural Networks and IndicatorsA Comprehensive Analysis of AI-Driven Financial Forecasting Techniques and Their Impact on Investment Strategies4d ago14d ago1
Nickolas DiscolllCoal Price Changes and BYD’s Stock Market ResponseUnderstanding Energy Cost Influence on a Leading Chinese CompanyJun 221Jun 221
Nickolas DiscolllIntegrating Sentiment Analysis in Stock Price Forecasting with Deep Learning TechniquesIn the dynamic domain of financial markets, predicting stock prices remains a challenging yet crucial task for investors and analysts…Jun 21Jun 21
Nickolas DiscolllUtilizing Python to Decode Complex Stock Market DynamicsHarnessing Python and yfinance for Informed Investment Strategies. Let’s delve into the process of analyzing and visualizing stock data.Jun 18Jun 18
Nickolas DiscolllMachine Learning Algorithms For Building Stock Trading Strategy Based On Demand ZoneSo, today we will work on intradey stock market trading. Specifically I will be focusing on Demand Zone in terms of potential…Jun 17Jun 17
Nickolas DiscolllUtilizing Python for Group Constraints and Performance Analysis in Random PortfoliosEfficient Portfolio Management with PythonJun 16Jun 16
Nickolas DiscolllDoes Managing Volatility Lead to Better Returns? A Closer LookEvaluating the Efficacy of Volatility Harvesting in Portfolio ManagementJun 151Jun 151