What I've Built

Interactive tool for visualizing compound growth with configurable monthly contributions and compounding frequencies. My first project. A classic for every finance student.

Next.js · Chart.js · TypeScript

Stock screening tool implementing Benjamin Graham's value investing methodology with real-time market data.

Next.js · yahoo-finance2 · TypeScript

Compare target stock P/E ratios against industry peers with trailing and forward metrics.

Next.js · yahoo-finance2 · Chart.js

Dashboard for constructing and analyzing investment portfolios with performance tracking.

Python · Streamlit

E-commerce brand for combat sports apparel. From supply chain to storefront. No longer in service.

E-commerce · Supply Chain

Research dashboard built for the Viking Fund Club to streamline equity analysis and team collaboration. Originally built for my club, but gave me the inspiration for Stralane.

Python · Streamlit

Investing platform for retail investors. Currently in a developing beta with rapid feature updates.

In Development

Machine learning model for predicting UFC fight outcomes using fighter statistics, historical records, and decision factors. Bet sizing is driven by the Kelly criterion to balance edge and risk. Join the Discord to see how the strategy has been performing.

Python · Machine Learning · Streamlit

A proprietary backtesting dashboard built to evaluate trading strategies. Fit with regime changes and features, walk-forward testing, a strategy builder using YAML, and an eval tab for an idea I have in mind. If you're interested, reach out and I can explain more.

Python · Backtesting · YAML

Interactive private equity training platform with 12 modules, 70 lessons, and 5 interactive practice features. Built using over 15 parallelized research agents for comprehensive curriculum generation. Originally built for me, but I might as well make it public.

Next.js · AI Agents · TypeScript

An open-source team of AI agents for end-to-end public equity research. A managing director agent orchestrates a fundamentals agent that aggregates source data and an auditing agent that checks it against SEC filings for red flags. After a user checkpoint, it dispatches five parallelized agents covering DCF, comps, macro catalysts, moat analysis, and technicals, then synthesizes everything into a full report exported as HTML, memo, or slide deck. Built to turn days of manual research on any US equity into a single run.

Claude Code · AI Agents · Equity Research

A daily IB question sent to me in order to sharpen my fundamentals and knowledge. While I'm not prepping for IB interviews, it's good for my general finance fundamentals. I'm also considering turning it into an app on iOS to gain the experience, but that is TBD.

Telegram Bot · Finance · iOS (TBD)