An autonomous trading bot for UTT 2026 that executes trades via Playwright by combining Technical Analysis with FinBERT sentiment.
-
Updated
Apr 9, 2026 - Python
An autonomous trading bot for UTT 2026 that executes trades via Playwright by combining Technical Analysis with FinBERT sentiment.
A Laplace library of time series building blocks for Stan — the classical ARIMA family, seasonal variants, exponential smoothing, GARCH volatility, smooth-transition regime switching, and count autoregression. Every model ships a mean recursion, a log density, a simulator, and a forecaster.
Skrypty do pracy magisterskiej: GARCH (GARCH, EGARCH, GJR-GARCH, APARCH) vs. ML (RF, LSTM, SVR) w prognozowaniu zmienności stóp zwrotu 1000 spółek NASDAQ (2020-2025) | Master's thesis scripts: GARCH vs. ML volatility forecasting for 1,000 NASDAQ stocks (2020-2025)
Analisi finanziaria - Forecasting dei rendimenti dello stock "Vistra Energy Corp." tramite modelli GARCH
A quant research project that tests whether **implied volatility** tends to be overpriced relative to **model-estimated volatility**. The study compares **India (NIFTY + India VIX)** and **US (S&P 500 + VIX)** using rolling GARCH forecasts, volatility spreads, and forward 5-day outcome testing.
Repository demonstrates some of the models fitted as part of research seminar at HU Berlin on predicting short term Brent crude oil prices.
To associate your repository with the garch-forecasting topic, visit your repo's landing page and select "manage topics."