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NickSigurdsson/README.md

Hi, I'm Nicholas 👋

Software engineer pivoting into quantitative finance. I build trading systems, portfolio analytics tools, and data pipelines — combining software engineering with investment strategy.

CFA Level 1 Candidate (Nov 2026) · MS Computer Science, Georgia Tech (In Progress)


🔭 What I'm Building

  • Options Analytics Platform — Black-Scholes pricing engine with full Greeks suite (delta through color), Brent's method IV solver, IV screener with rank/percentile/skew signals, LEAPS backtester, and Kelly Criterion position sizer. Python · FastAPI · React · NumPy/SciPy

  • Multi-Asset Portfolio Dashboard — Institutional-grade risk analytics: Historical/Parametric/Monte Carlo VaR with CVaR, Sharpe/Sortino/Calmar ratios, drawdown analysis, correlation matrix with PCA decomposition, multi-currency support, and client-ready PDF tearsheets. Python · FastAPI · React · Polygon.io

  • AI Trading Desk Analyst — Claude API-powered squawk box with live market alerts, RAG research library via ChromaDB, analyst persona that challenges trade theses, and Telegram/Discord alert delivery. Python · Polygon.io · IBKR

  • Pre-Trade Checklist & Decision Journal — Structured pre-trade workflow: auto-populated market data per ticker, systematic questionnaire, Kelly vs actual position size comparison, post-trade logging, and decision quality analytics over time. Python · SQLite · React

🛠️ Past Work

  • Exco Technologies — Built enterprise .NET applications, automated hardware design workflows (97% time reduction), created modular tooling integrated with SQL databases and Epicor ERP
  • HolisticMind AI (Founding Engineer) — HIPAA-compliant FastAPI + PostgreSQL backends on AWS, RAG-based LLM data pipelines, production infrastructure on EC2/S3/RDS
  • DigiSpotter — Hack the North 2022 winner: iOS app using SwiftUI + ARKit for real-time workout posture tracking via body motion analysis

📚 Currently Learning

  • Machine learning for trading applications (Georgia Tech CS 7646)
  • Options pricing theory and portfolio optimization
  • CFA Level 1 curriculum (Ethics, Quantitative Methods, Equity, Fixed Income, Derivatives)

🧰 Tech Stack

Languages: Python · C# · TypeScript · SQL · JavaScript · Swift Finance: NumPy · SciPy · pandas · scikit-learn · yfinance · Black-Scholes · Greeks · VaR · Portfolio Analytics Backend: FastAPI · .NET Core · Node.js · PostgreSQL · Redis · REST APIs Frontend: React · TypeScript · TradingView Lightweight Charts · Recharts Cloud & Infra: AWS (EC2, S3, RDS) · Docker · CI/CD · Datadog Data: ETL pipelines · RAG/LLM integration · ChromaDB · Time series analysis


📫 [email protected] · LinkedIn

Open to roles in investment technology, quantitative development, and financial data engineering.

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