Nickolas DiscolllQuantitative Trading Strategies: Algorithmic TradingThe momentum trading strategy consists of creating buying/selling signals based on various time framed sum moving averages (SMA) of an…Aug 2Aug 2
Nickolas DiscolllStock prediction using 3 methods (LSTM+ARIMA+MCMC)During the course of my bachelor’s thesis, I tested various stock prediction methods and made mistakes along the way.Aug 11Aug 11
Nickolas DiscolllEDA and Feature Importance in Jane Street Trading: A Day 0 Case StudyA Statistical Approach to Understanding and Improving Trading ModelsJul 311Jul 311
Nickolas DiscolllMastering Time Series Forecasting with PyTorchElevating Forecasting with PyTorch Lightning and PyTorch ForecastingJul 31Jul 31
Nickolas DiscolllForecasting Future Stock Trends: The Power of ARIMA ModelsA Detailed Approach to Predicting Stock Prices with 97.5% AccuracyJul 30Jul 30
Nickolas DiscolllA Deep Dive into LSTM-Based Stock Price PredictionAnalyzing Siemens Stock Data with LSTM Models and Advanced Visualization TechniquesJul 29Jul 29
Nickolas DiscolllEverything You Can Do With Time Series And StocksFrom manipulating stock data to forecasting closing price, volume, and stock price.Jul 27Jul 27
Nickolas DiscolllForecasting Apple Inc.’s Stock Performance: A Comprehensive AnalysisAnalyzing Historical Trends, Market Factors, and Future Predictions to Guide Investment StrategiesJul 24Jul 24
Nickolas DiscolllMastering Financial Data Analysis: From Python Libraries to LSTM ModelsA Comprehensive Guide to Data Handling, Visualization, and Predictive Modeling in FinanceJul 21Jul 21
Nickolas DiscolllHow Five Neural Network Models Reveal Market Insights and Challenge EfficiencyCracking the Code: Predicting Stock Prices with AIJul 20Jul 20