I'm a Data Scientist in Machine Learning. Some of my current side projects involve programming, study groups and stock-/timeseries analysis.
This is an extension of the Nordic Screener project. The goal here is to establish datapipelines and long term storage of data from all 8400+ NASDAQ listed stocks. This is then further leveraged in analysis and pilots of custom ML models.
We hold bi-weekly study groups where post-graduate friends from M.Sc's and Ph.D's in Math and scientific fields take turns to present a topic, project or research paper.
Reinforcement Learning, Workflow Tools (Logseq, Obsidian, Excalidraw), Stock Screening (Python), React
Collect stock metrics through the Yahoo Finance API for the nordic markets and rank them based on a set of composite metrics from The Little Book That Beats the Marketby J. Greenblatt. Stock metrics are obtained by referencing ticker codes in yf, e.g. CRAYN.OL for Crayon Group Holding ASA, and responds with financial- and general info for that stock.