◈
Quant Research
Build reproducible experiments around point-in-time data and explicit research contracts.
- Feature Engine & Registry
- Dataset & Experiment Engine
- WFO / validation workflows
Architecture-led quant platform
Research with a path to controlled execution.
TradingOS is a platform-led algorithmic trading foundation built to make quantitative research, risk control, execution, monitoring and strategy development independently evolvable.
research → features ↓ dataset → experiment ↓ strategy → signal ↓ risk → order intent ↓ execution → controlled trade Risk Engine = authority Strategy plugins cannot bypass it.
The platform
One foundation, multiple research paths.
Strategies remain plugins. Platform contracts, research reproducibility and risk authority stay central.
◇
Strategy & Options
Provide common primitives for systematic strategy development rather than isolated scripts.
- Strategy plugin contracts
- Options-chain & Greeks research
- Multi-leg lifecycle support
△
Risk & Execution
Keep risk authority between strategy intent and broker execution.
- Central risk policies
- Order intent boundaries
- Execution and lifecycle controls
Research lab
Designed for hypotheses, evidence and iteration.
Trading ideas can be tested without turning assumptions into production rules prematurely.
Research Engine
Point-in-time features, bounded future targets, chronological generation, experiments and statistical evaluation.
PIT dataExperimentsWFOMonte Carlo
Options Research
Foundation for volatility, options-chain and multi-leg research across Indian index markets.
IV / RVVRPSkewTerm structure
Robustness First
Separate historical evidence from live execution and make costs, stability and validation explicit.
Purged CVCost sensitivityRegime analysis
Continuity by Design
The repository is the project continuity source of truth, keeping architecture, state, tasks and implementation aligned.
ArchitectureStateRoadmap
Architecture
Clear boundaries. Central risk authority.
Clean Architecture keeps external systems replaceable while domain policies remain stable.
Data
→
Research
→
Strategy
Risk
→
Execution
Python 3.12
Typed platform foundation with modular service boundaries.
FastAPI · PostgreSQL · Redis
API delivery, durable state and coordination infrastructure.
Docker · Dashboards
Repeatable deployment and operator-facing monitoring surfaces.
Open project
Follow the build.
TradingOS is evolving through documented architecture, research and controlled implementation.