Simen Bjerkelund

Financial Analyst · Quantitative Researcher · Data Scientist

Algorithmic Trading Machine Learning Norwegian Markets Risk Analytics R · Python · Shiny

About Me

I am a data analyst and quantitative researcher with a background spanning public sector finance management (Bærum Municipality, NOK 2.2bn budget), two master’s degrees in applied finance and intelligence systems, an interest in financial markets and data analytics spanning 15 years. Also an avid tennis player and fan.

The purpose of this site is to explore, learn, and publish my data projects. I primarily work with R, python and SQL. Publishing them gives the work some skin in the game and helps raise both the quality and volume of output. The projects are driven by my own interests, but also follow news and trending topics.

Featured Projects

Trading Analytics Platform

Comprehensive R Shiny app for trade performance analysis, ML-driven strategy development, and risk optimization. Processes data from Nordnet broker.

R Shiny XGBoost Random Forest Monte Carlo

SSB Analysis

Automated analysis of Statistics Norway (SSB) data — economic indicators, market trends, and macro signals — refreshed every 3 days via GitHub Actions.

PxWebApiData GitHub Actions Quarto SSB API

Opportunity Scanner

ML-powered scanner across major stock indices using adaptive filter indicators, temporal cross-validation, and ensemble predictions.

Logistic Regression Technical Indicators Yahoo Finance

Latest from the Blog

→ See all posts on the Blog

Built with Quarto · Hosted on GitHub Pages · Updated regularly

--- title: "" page-layout: full toc: false --- ```{=html} <div class="hero-section"> <h1>Simen Bjerkelund</h1> <p class="subtitle">Financial Analyst · Quantitative Researcher · Data Scientist</p> <div class="hero-badges"> <span class="badge">Algorithmic Trading</span> <span class="badge">Machine Learning</span> <span class="badge">Norwegian Markets</span> <span class="badge">Risk Analytics</span> <span class="badge">R · Python · Shiny</span> </div> </div> ``` ## About Me I am a data analyst and quantitative researcher with a background spanning public sector finance management (Bærum Municipality, NOK 2.2bn budget), two master's degrees in applied finance and intelligence systems, an interest in financial markets and data analytics spanning 15 years. Also an avid tennis player and fan. The purpose of this site is to explore, learn, and publish my data projects. I primarily work with R, python and SQL. Publishing them gives the work some skin in the game and helps raise both the quality and volume of output. The projects are driven by my own interests, but also follow news and trending topics. ```{=html} <div class="red-line"></div> ``` ## Featured Projects ```{=html} <div class="card-grid"> <a class="project-card" href="projects/trading-analytics.html"> <h3>Trading Analytics Platform</h3> <p>Comprehensive R Shiny app for trade performance analysis, ML-driven strategy development, and risk optimization. Processes data from Nordnet broker.</p> <div class="tech-tags"> <span class="tag">R Shiny</span> <span class="tag">XGBoost</span> <span class="tag">Random Forest</span> <span class="tag">Monte Carlo</span> </div> </a> <a class="project-card" href="ssb-daily/index.html"> <h3>SSB Analysis</h3> <p>Automated analysis of Statistics Norway (SSB) data — economic indicators, market trends, and macro signals — refreshed every 3 days via GitHub Actions.</p> <div class="tech-tags"> <span class="tag">PxWebApiData</span> <span class="tag">GitHub Actions</span> <span class="tag">Quarto</span> <span class="tag">SSB API</span> </div> </a> <a class="project-card" href="projects/opportunity-scanner.html"> <h3>Opportunity Scanner</h3> <p>ML-powered scanner across major stock indices using adaptive filter indicators, temporal cross-validation, and ensemble predictions.</p> <div class="tech-tags"> <span class="tag">Logistic Regression</span> <span class="tag">Technical Indicators</span> <span class="tag">Yahoo Finance</span> </div> </a> </div> ``` ## Latest from the Blog *→ See all posts on the [Blog](blog/index.qmd)* --- *Built with [Quarto](https://quarto.org) · Hosted on [GitHub Pages](https://pages.github.com) · Updated regularly*