Algorithmic Trading and Investing Club
- When
- Tuesday, November 17, 20263:00 PM – 4:00 PM ESTAdd to calendarGoogle Calendar
- Where
- Lee K-102Open in Maps
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About
About About: The Algorithmic Trading & Investing Club empowers FSW students to learn markets the modern way—through data, code, and disciplined strategy. We blend financial literacy with hands-on tools (TradingView, Python/Jupyter, QuantConnect, Excel/Google Sheets) so members can design, backtest, and simulate strategies across stocks, futures, forex, and crypto. Our mission is to promote financial literacy, ethical investing, and data-driven decision-making through education, simulation, and collaboration.
Why should you join?
1.Hands-on learning: Build, test, and iterate strategies using real datasets and simulated trading—no prior experience required.
2.Career readiness: Strengthen skills in Python, statistics, and risk management that translate to roles in finance, analytics, and software.
3.Ethical focus: Learn responsible investing practices, risk controls, and compliance-minded habits.
4.Accessibility: Hybrid meetings (Zoom + on-campus workshops) and recorded tutorials make it easy to participate from anywhere.5.Community: Collaborate with peers from business, computer science, and data analytics in team projects and competitions.
What we do:
•Weekly Skill Labs: Technical analysis, indicators, portfolio construction, and position sizing.
•Backtesting Workshops: From hypothesis - dataset - code - metrics - iterate.
•Strategy Studios: Small teams build and compare strategies (momentum, mean reversion, pairs trading, options overlays).
•Guest Speakers: Quants, portfolio managers, fintech founders, and FSW alumni.
•Simulated Trading League: Monthly paper-trading challenge with rules, leaderboards, and debriefs.
•Finance Tech Stack: TradingView Education Program, Python (pandas/NumPy), QuantConnect/Zipline, Google Colab/Sheets.
Our purpose & goals
•Purpose: Create an inclusive, hands-on environment where students explore markets with technology and research—spanning equities, futures, forex, and crypto—using simulated platforms. Emphasis on responsible trading, ethics, and professional development.