BigQuant Strategy Development Group: Shared Projects and Learning Tasks
Summary
This document describes the first BigQuant strategy development interest group, scheduled for May through July 2024. Its purpose is to help learners build strategy templates and demonstrations, reproduce common methods, and improve their implementation skills through shared work. Participants are expected to complete assigned tasks, present their approaches in weekly review meetings, incorporate feedback, and share the results of their work.
The long task list spans research and engineering topics, including moving-average and breakout strategies, factor construction, machine learning, portfolio methods, risk controls, futures, options, convertible bonds, data handling, and model deployment. It also lists developers and reward amounts for many projects. The page is an agenda and participation outline rather than a set of strategy instructions: it does not provide implementation details, backtests, or comparative evidence for the listed approaches. Its useful contribution is showing the breadth of projects and the collaborative process intended to develop them.
Key ideas
- The group organizes learners around building templates, demonstrations, and reproductions of common strategies.
- Participants are expected to complete assigned projects, attend weekly reviews, and share their implementations.
- The task list covers equities, futures, options, factor research, machine learning, and trading infrastructure.
- Listed projects and rewards describe planned work rather than validated strategy performance.
- The document does not include detailed methods or backtest evidence for the projects.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.