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Projects

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I’m a Python Programmer with experience in Algorithmic Trading systems and Quantitative Finance, though I have interests in many branches of technology. Currently also a private tutor in Physics, Math, Finance, and Business Management, as well as a Bachelor’s Student at AMSIB. In my free time, I like to read history and science-fiction, along with practicing boxing and weightlifting.

Automated Asset Manager: Trading212

Automated end-to-end execution of Andreas Clenow's Stocks on the Move momentum equity strategy by using public index data and the Trading212 live brokerage environments. The pipeline includes ticker matching, normalization for special characters, batch-fetching market data via YFinance, and momentum regressions computed on the S&P 1500 stock universe. It incorporates an S&P 500 regime filter to halt buys during downtrends and executes rebalances automatically through the Trading212 API. Integrated Telegram alerts provide real-time logs, performance stats, and PDF reports on portfolio health.

Skills

Algorithmic Trading & Quantitative Analysis: Implementation of momentum regression, risk-parity position sizing, and trend-following filters.
Data Integrity: Automated web scraping of index constituents, matching, and asynchronous batch fetching of historical price data.
API Integration & Automation: API management for brokerage execution and Telegram Bot API for real-time reporting and analytics.
System Design: Modular architecture for ticker matching, portfolio rebalancing logic, and automated PDF report generation.

Autonomous Multi-Account Trading System

Built on a Python-based Twisted reactor, the system uses a non-blocking asynchronous event loop to manage market data ingestion, status updates, and order routing across multiple accounts simultaneously. The strategy utilizes key levels and liquidity concepts in the 30-minute timeframe to generate signals, which are executed with tick-level granularity. It features constant equity updates and rich logging to monitor system status. Currently running 24/7 on a dedicated server, the system maintains internal memory of key levels and order states, allowing for graceful disconnects and restarts. The system is still in use today.

Skills

Asynchronous Architecture: Twisted reactor for non-blocking I/O.
System Reliability: 24/7 uptime with graceful restarts.
Concurrency & State Management: Parallel data streams, order routing, state updates, and in-memory key levels/order states.
Logging & Monitoring: Real-time system health logs.

ACN Backtester: Market Structure Strategy Analyzer

This macOS app analyzes backtest positions for an NQ intraday trading strategy. Users can tune parameters, view trade analytics, and visualize trades across multiple timeframes. I learned about different architectures and deployment implications (by making both x86_64 and arm_64 builds), GitHub Actions, automatic updates, intraday trading logic, and GUI design. The code is not the cleanest, but it served its learning purpose.

Skills

Multi-Architecture Deployment: x86_64 + arm_64 builds.
Automatic Delivery & Updates: GitHub Actions delivery + updates.
Intuitive UI/UX: Clean UI for trade visualization and strategy analysis.
Cross-Functional Collaboration: Translate discretionary strategies into code with traders.

Blinder: macOS Focus App

This macOS focus app offers user-created focus modes, blocking selected websites and apps with a timer. It taught me basic system calls, stateful logic in the background, and that I will never again program in Swift.

Skills

System Calls: OS-level app/site blocking.
Background Execution: Stateful logic + timers in macOS background.
Swift/SwiftUI: Apple framework experience.

Quantara: Crypto Screener & Strategy Backtester

My CS50 final project. It allows chart viewing and strategy backtesting across multiple timeframes for all securities listed on Binance. It was a fun introduction to Python GUIs, API requests, and stateful strategy backtests. Admittedly, I look back on it today and see it as not as great as I once thought it was, but man, was it fun.

Skills

API Integration: Binance REST for real-time/historical data.
Data Modeling: Multi-timeframe display + backtests.
UI/UX: Interactive desktop data visualization.
Data Integrity: Validate API responses vs rendered charts.