Financial Technology / 2026
InitQuant
A safety-first quant lab combining market data with research, risk controls, and disciplined paper execution.
InitQuant is an experimental research environment for measuring market ideas without putting real capital at risk. Data collection, strategy evaluation, and portfolio behavior run through one observable flow.
The system is paper-only by default. Risk boundaries are enforced in operations as well as application code.
What needed to change
Market research needed to support fast experiments without losing safety boundaries or reproducibility.
What we built
We developed an observable lab that separates research, decision, and simulation layers with clear boundaries.
How it holds together
Django services, PostgreSQL, scheduled agents, and strict runtime controls operate inside an isolated container network.