Technology Built to Deliver Quant Research
Agentic-Leveraged Platform to Deploy Sophisticated Quant Strategies within a Flywheel
The same codebase that powers historical simulation drives live execution. Switching from research mode to production is a configuration change, not a rebuild, a refactor, no translation layer, no divergence between what was tested and what runs. Look-ahead and survivorship bias are structurally impossible. All research runs against a streaming interface that enforces temporal isolation at the data boundary.
The simulator replays a market feed through an internal custodian model that accounts for realistic fill rates, bid/ask spread, and market impact. Research results are directly comparable to live performance.
The identical signal and strategy code connects to Interactive Brokers via FIX. Strategies complete a forward-test period on IBKR paper accounts before any live capital is committed. The only change is the data source and execution target.
Historical simulation with the integrity of a live track record
The architectural unity between research and live trading has a direct consequence for investors: the five-year historical simulation is not a backtest assembled in hindsight. It is a reproducible pipeline run forward from a fixed start date, governed by the same temporal isolation and realistic fill modeling that applies to every live trade. The result is a track record that reflects what would have happened, not what the model was tuned to show after the fact.
The strategy can and will evolve over time as new features, models, signals and ideas are statistically proven out through a large backdrop of extremely granular market pricing and reference data.
These improvements flow through the same pipeline and benefit investors in both stages: early participants within SMA-isolated trading as well as future investors in the commingled fund. Progress made on the platform is cumulative. The work compounds.