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Projects

Quantitative trading tools, data science applications, and open-source work

Trading Analytics Platform

A comprehensive R Shiny application for systematic trade analysis, ML-driven strategy development, and portfolio risk management. Processes real trading data from Nordnet.

R Shiny XGBoost Random Forest tidymodels Monte Carlo ggplot2

SSB Daily Dashboard

Automated daily analysis of Statistics Norway (SSB) economic data. Pulls key indicators from the SSB JSON-stat API each morning via GitHub Actions and renders a fresh Quarto report.

PxWebApiData GitHub Actions Quarto plotly

Opportunity Scanner

Cross-market ML signal scanner covering major indices. Uses ensemble predictions from multiple models with temporal cross-validation to avoid lookahead bias.

Logistic Regression Technical Indicators Yahoo Finance OSEBX

TidyTuesday Analyses

Weekly data visualizations and analyses from the TidyTuesday community challenge. Showcasing ggplot2, R data wrangling, and creative visualization approaches.

ggplot2 tidyverse R data viz
Source Code
---
title: "Projects"
subtitle: "Quantitative trading tools, data science applications, and open-source work"
toc: false
page-layout: full
---

```{=html}
<div class="card-grid">

  <a class="project-card" href="trading-analytics.html">
    
    <h3>Trading Analytics Platform</h3>
    <p>A comprehensive R Shiny application for systematic trade analysis, ML-driven strategy development, and portfolio risk management. Processes real trading data from Nordnet.</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">tidymodels</span>
      <span class="tag">Monte Carlo</span>
      <span class="tag">ggplot2</span>
    </div>
  </a>

  <a class="project-card" href="../ssb-daily/index.html">
    
    <h3>SSB Daily Dashboard</h3>
    <p>Automated daily analysis of Statistics Norway (SSB) economic data. Pulls key indicators from the SSB JSON-stat API each morning via GitHub Actions and renders a fresh Quarto report.</p>
    <div class="tech-tags">
      <span class="tag">PxWebApiData</span>
      <span class="tag">GitHub Actions</span>
      <span class="tag">Quarto</span>
      <span class="tag">plotly</span>
    </div>
  </a>

  <a class="project-card" href="opportunity-scanner.html">
    
    <h3>Opportunity Scanner</h3>
    <p>Cross-market ML signal scanner covering major indices. Uses ensemble predictions from multiple models with temporal cross-validation to avoid lookahead bias.</p>
    <div class="tech-tags">
      <span class="tag">Logistic Regression</span>
      <span class="tag">Technical Indicators</span>
      <span class="tag">Yahoo Finance</span>
      <span class="tag">OSEBX</span>
    </div>
  </a>

  <a class="project-card" href="tidytuesday.html">
    
    <h3>TidyTuesday Analyses</h3>
    <p>Weekly data visualizations and analyses from the TidyTuesday community challenge. Showcasing ggplot2, R data wrangling, and creative visualization approaches.</p>
    <div class="tech-tags">
      <span class="tag">ggplot2</span>
      <span class="tag">tidyverse</span>
      <span class="tag">R</span>
      <span class="tag">data viz</span>
    </div>
  </a>

</div>
```

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