Microsoft has added official Python support to Aspire 13, expanding the platform beyond .NET and JavaScript for building and running distributed apps. Documented today in a Microsoft DevBlogs post, ...

ABSTRACT: The study applies a Kalman filter (KF) to Generalized Autoregressive Conditional Heteroskedasticity (GARCH) models to create a hybrid model, to estimate the parameters of the GARCH model in ...

Since the pioneering work of Markowitz on portfolio theory in 1950s, numerous developments have advanced to improve the original technique of portfolio optimisation. Current research on the topic ...

This is a demo web app for crypto analysts and investors to make sound trading decisions. It consists of 1.technical analysis for viewing a variety for charts e.g(candlestick, bollinger, adx/rsi, ...

There are numerous ways to run large language models such as DeepSeek, Claude or Meta's Llama locally on your laptop, including Ollama and Modular's Max platform. But if you want to fully control the ...

Hello beautiful people! Hope that 2025 is treating you well, even though it’s been buggy for me, so far. Welcome to the Doodles and Programming blog and today we’re going to build: A sentiment ...

Hello there! 👋 I'm Jin, a BI Developer with a passion for all things data, Proficient in Python, SQL and Power BI Before running the Python code, ensure your local LLM system is up and running. Most ...

Abstract: The traditional GARCH model excels in dealing with conditional heteroskedasticity characteristics but has some limitations in capturing linear dynamics. To solve this problem, this research ...

Abstract: This study investigates the application of advanced statistical models to analyze the Malaysian stock market, with a focus on the ARIMA-GARCH model. Traditional ARIMA models, following the ...