GDG on Campus University of Maryland, Baltimore County - Baltimore, United States
Join a hands-on session in Google Colab at UMBC to learn about working with financial data in Python. Attendees will explore trend-following techniques, evaluate performance using volatility and returns, and understand why good backtests can be misleading. No setup is needed; just bring your laptop for an insightful dive into financial analysis.
11 RSVP'd
Hands-on in Google Colab, no setup required, just bring a laptop.
We'll pull real historical stock data and work through it in Python, from spotting trends to testing whether what looks like a good result actually holds up. Along the way, we'll get into returns, volatility, and how to think critically about backtested performance.
What you'll learn:
Working with financial data in Python
Trend-following techniques like moving averages
Evaluating performance with returns, volatility, and risk-adjusted metrics
Why a good-looking backtest can still be misleading
Location: Math and Psych 106 (UMBC)
October 8 – 9, 2026
10:00 PM – 12:00 AM (UTC)
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