ewma

🏃 An R package for advanced sports performance analysis and training load monitoring using Strava data.

Polymarket Trading Bot –AI EWMA arbitage Polymarket Trading Bot –AI EWMA arbitage Polymarket Trading Bot –AI EWMA arbitage Polymarket Trading Bot –AI EWMA arbitage Polymarket Trading Bot –AI EWMA arbitage Polymarket Trading Bot –AI EWMA arbitage Polymarket Trading Bot –AI EWMA arbitage Polymarket Trading Bot –AI EWMA arbitage

Thesis project about Unsupervised anomaly detection on the streaming time-series data of porfolio risk measures and returns.

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.

A TypeScript library for building high-performance geospatial layers on top of deck.gl and MapLibre GL. Includes vessel trail rendering with adaptive smoothing, great-circle route visualization, ocean current / wind arrow fields, geodetic math utilities, dead reckoning, and EWMA noise filtering

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

Intelligent disaster detection platform analyzing tweets in real-time using anomaly detection, spaCy NER, and Leaflet visualization with Twilio SMS integration.

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.

Adaptive Monitoring and Real-World Evaluation of Agentic AI Systems

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.

Volatility forecasting using ARCH, GARCH, and EWMA on JPM stock

Python framework for reusable volatility forecasting experiments and QLIKE evaluation.

NCIs Project 2024/25

This repository represents additional control charts, various plans and variables that are used within the chart scope using Minitab software