Nickolas DiscolllAlgorithmic Trading Chapter 3: Financial Data Visualization with ZiplineFrom Installation to Strategy Execution Using Python’s Powerful LibrariesSep 6Sep 6
Nickolas DiscolllStrategic Portfolio Allocation with Python: A Global PerspectiveUsing Data from S&P 500, TSX, STOXX 600, and SSE to Build and Optimize Investment PortfoliosSep 6Sep 6
Nickolas DiscolllAlgorithmic Trading: Chapter 2 — Normalizing and Analyzing Market DataA Comprehensive Guide to Data Normalization, Analysis, and Visualization Techniques in Algorithmic TradingSep 5Sep 5
Nickolas DiscolllMastering Algorithmic Trading: Market & Fundamental Data Insights | Chapter 1Building and testing trading strategies requires understanding and using market and fundamental data.Sep 4Sep 4
Nickolas DiscolllMastering Video at Scale: The Evolution of Facebook’s Streaming Video Engine (SVE)Meet the demands of a global user base with low latency, flexibility, and fault toleranceSep 3Sep 3
Nickolas DiscolllHow WhatsApp and Discord Achieve Unmatched Scalability, Reliability, and PerformanceHarnessing BEAM and Elixir: The Technology Powering Real-Time Communication for MillionsSep 3Sep 3
Nickolas DiscolllUsing Deep Learning Neural Networks and Candlestick Chart Representation to Predict Stock MarketDownload the source code from here: Click here!Sep 2Sep 2
Nickolas DiscolllExploring Alpha Factor Strategies with Python: A Deep Dive into Financial Data Analysis and Trading…Harnessing Quantitative Techniques for Predictive Financial Modeling and Strategic Investment DecisionsAug 31Aug 31
Nickolas DiscolllTrading at Lightning Speed: How Algorithms are Shaking Up Market VolatilityInfluence Of Algorithmic Trading On Market VolatilityAug 302Aug 302
Nickolas DiscolllTime Series Modeling for Amazon Stock Prediction: A Comprehensive AnalysisExploring ARIMA, Fourier Transform, and LSTM Models for Forecasting Stock Prices with Feature Engineering InsightsAug 28Aug 28