AI model predicting NBA game outcomes using advanced stats and trends
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Updated
Apr 28, 2026 - Jupyter Notebook
AI model predicting NBA game outcomes using advanced stats and trends
🏃 An R package for advanced sports performance analysis and training load monitoring using Strava data.
Time series decomposition into trend and cycle components. (Stochastic) trend estimation and forecasting
MSc Finance dissertation project at Newcastle University. This project focused on forecasting the volatility of exchange rates involving the Great British Pound using EWMA, GARCH-type and Implied Volatility models.
This repository consits of: projects and homeworks connected with research area such as Risk Management.
Simple python library thats implemented EWMA, IIR and Average filter.
A Spring Boot starter library of production-grade resilience and data quality patterns for distributed systems and microservices. Each pattern is self-contained, framework-agnostic at its core, and designed for high-throughput environments
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Discussed various methodologies that may help while implementing Time Series
An adaptive selector for short-term forecasting of multiple time series. For each time series, it finds the best method from a pool of candidates based on their past performance.
Compute an exponentially weighted mean incrementally.
Volatility forecasting using ARCH, GARCH, and EWMA on JPM stock
An adaptive selector for short-term forecasting of multiple time series. For each time series, it finds the best method from a pool of candidates based on their past performance.
A tool to track and forecast system performance with advanced EWMA modelling
Random Plotly Dash scripts, mostly TA related
This repository represents additional control charts, various plans and variables that are used within the chart scope using Minitab software
Pick the best IP per hostname via DNS + EWMA speed + failure penalties.
Add a description, image, and links to the ewma topic page so that developers can more easily learn about it.
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