Project Pods
Build inside a focused quant team
Every AggieQuant member will be placed into a pod. Pods are small project groups for shipping real work, learning from peers, and turning curiosity into portfolio-grade evidence.
Pod Menu
Pick a problem worth working on
These pods are starting points, not cages. A strong pod has a clear deliverable, a weekly rhythm, and members who actually want the same kind of work.
Forecasting
Prediction Markets
Build markets, resolve events, study calibration, and test whether crowd forecasts beat simple baselines.
Research
Paper Replication
Reproduce finance and ML papers, write clean notebooks, and separate robust effects from overfit noise.
Data
Market Data Lab
Collect, clean, and document datasets that other pods can actually use without fighting CSV chaos.
Systems
Trading Systems
Prototype order books, backtesters, execution simulators, and the tooling behind repeatable experiments.
Models
Options Pricing
Study volatility, Greeks, hedging, Monte Carlo, and the gap between textbook models and live markets.
Games
Market Making Games
Create classroom trading games that teach spreads, adverse selection, inventory, and risk management.
AI
LLM Quant Tools
Build careful AI assistants for research notes, interview prep, code review, and dataset triage.
Competitions
Contest Prep
Prepare for Estimathon, IMC Prosperity, Rotman-style cases, poker math, and probability sprints.
Writing
Quant Briefs
Publish short explainers that make hard ideas legible: market structure, options, statistics, and careers.
Build
Club Infrastructure
Improve the website, application workflow, member tooling, event data, and internal dashboards.
Placement
Application first, pod fit second
New applicants rank pod interests inside the general AggieQuant application. Current members do not need a separate pod application. Once you are in the club, leadership uses your interests, experience level, schedule, and team balance to place you.
Tell us what you want to build
Use the general application to share your ranked pod interests, skills you want to grow, and the kind of weekly work you can sustain.
Everyone gets a pod
Placement is not meant to gatekeep. The goal is to put every member somewhere useful while keeping pods balanced enough to ship.
Fit matters most
If a placement is seriously not working, members can request a change. We will handle urgent fit issues carefully and directly.
Starter Repos
Start from working code, then make it yours
Each starter kit includes a README, suggested datasets, extension ideas, mathematical references, and a small runnable Python scaffold. Treat them as launch pads: replace toy data, improve tests, document assumptions, and publish the best work.