MRTAN WinnerPoint-in-Time Feature Lake
Historical feature snapshots with explicit as-of dates, supporting reproducible research and live inference workflows.
Independent engineering · Quantitative systems
From research
to execution.
One infrastructure.
AI-assisted quantitative research & trading infrastructure. Connecting point-in-time data, systematic research, real-time signals and execution engineering.
Built with Claude and Claude Code as engineering and research copilots.
SYSTEM ARCHITECTURE01 / OVERVIEW
01 · INPUTMarket data
02 · TRANSFORMNormalization
03 · RESEARCHFeature engine
04 · EVALUATESignal engine
05 · CONTROLPortfolio & risk
06 · EXECUTEOMS & bridge
DETERMINISTIC PRODUCTION LOGICILLUSTRATIVE
Research / Historical replayEngineering / Claude-assistedExecution / Account isolationReview / Read-only archive
01 / Platform
Built as infrastructure,
not a single strategy.
A connected engineering foundation for research, production signals and the full execution lifecycle.
Quantitative Research
Historical replay, signal profiling, feature validation and systematic experiment workflows.
Real-Time Signal Engine
Streaming market processing, scoring, ranking and decision gating in a Linux-based live environment.
Portfolio & Risk Logic
Signal prioritization, capital allocation, slot management and execution-aware portfolio controls.
Execution Infrastructure
Order management, routing, QMT integration, callbacks, reconciliation and operational monitoring.
Multi-Account Architecture
Account-level separation of capital, holdings, permissions, orders and execution lifecycle.
02 / System architecture
A structured path from
market data to execution.
Market dataIngestionNormalizationFeaturesSignal scoringDecision gatingPortfolioOMSExecution bridge
Research layer
- Historical replay
- Feature validation
- Signal profiling
- Ranking experiments
Live engine
- Linux authority node
- Real-time scoring
- Portfolio controls
- Operational monitoring
Execution layer
- Order management
- QMT integration
- Callback reconciliation
- Account-level isolation
03 / Built with Claude
An engineering partner.
Across the lifecycle.
Claude and Claude Code are integrated into the engineering workflow behind MRTAN Winner.
They support architecture, implementation, code review, debugging, research assistance, testing and documentation. Deterministic quantitative systems remain responsible for production signals and execution logic.
Claude does not control trading accounts or independently make investment decisions. No Anthropic endorsement is implied.
01Architecture & engineering
02Software development
03Code review & refactoring
04Debugging & failure analysis
05Quantitative research assistance
06Testing & documentation
04 / Inside MRTAN Winner
Real data.
A separate review surface.
Explore a dated export from the research data archive. Public historical market fields and dataset metadata, with production accounts kept private.
223Feature snapshot files foundFile inventory; not a completeness certification
5,589Rows in the latest feature snapshot2026-09-30 · one feature dataset
125Columns in this datasetIncludes identifiers and metadata
The interactive archive contains actual exported records. These are historical observations, not live system health, portfolio values or trading recommendations.
05 / Development journey
From research to
production infrastructure.
Research infrastructure initiated.
Real-time signal and market processing engine.
Execution, portfolio and multi-account infrastructure.
AI-assisted engineering and continuous system evolution.
06 / Reliability by design
Clear boundaries.
Controlled execution.
Independent research and execution layers, deterministic production controls, account-level isolation, recovery and reconciliation workflows, and operational monitoring.
This showcase serves a static, read-only export. Browsing it cannot submit orders or modify the production system.
Founder
JunYong Tan
Founder, MRTAN Winner
Building AI-assisted quantitative research and trading infrastructure.
Contact founderfounder@mrtanwinner.xyz