Projects

Projects with real outputs, not fake case studies.

Most of the work here sits around markets, data, automation, and decision support. The goal is usually the same: reduce noise, surface useful information quickly, and make execution better.

Project One

Systematic Screener & Live Trading Portfolio

Built a real-time relative strength screener for digital assets to rank cross-sectional momentum opportunities and support live execution.

Aggregated live market data from REST APIs and WebSocket streams.
Implemented Telegram-based alerts with real-time triggers.
Executed through a proprietary trading platform with approximately $18k net profit over eight months.

Python, REST APIs, WebSockets, automation

Project Two

Order Flow & Liquidity Dashboard

Built a market data dashboard to track spot and perpetual futures liquidity across crypto exchanges and model short-term price pressure.

Tracked bid and ask imbalances plus liquidity deltas at 0.5%, 2%, and 10% price intervals.
Designed an interactive GUI for exchange statistics, order book depth, and market flow.
Used the tool to support trade execution and risk analysis.

WebSockets, GUI design, market microstructure

Experience

Shorter-form work that still mattered.

At Barclays Technology Developer Spring Week, I worked in a team of five to build a Python-based personal finance dashboard during a 48-hour Agile hackathon. At a Glencore Insight Day, I spent time with traders discussing physical versus derivatives market structure and pricing in base metals and oil.