Proprietary quantitative research

Systematic options, engineered around risk.

Capital Delta is building an automated options platform for proprietary capital—combining probabilistic research, event-driven execution and portfolio-aware rebalancing.

System profile

Capital Delta / Core

Active development

Capital

Proprietary

Primary posture

Delta neutral

Asset universe

Cross-asset options

Engine

Rust / event driven

Portfolio control loop

event t → action t+1

SignalPositionHedgeReview

Illustrative system view · Research and risk tooling remain under active development.

Futures options
Equity indices
Single stocks
Commodities
Investment thesis

Options expose more dimensions of risk. Our edge is deciding when not to intervene.

The core research question is not simply what to trade. It is how to maintain a position as price, volatility and time evolve—without allowing human urgency to become a hidden risk factor.

01 / Research

Probability before prediction

We study volatility surfaces, payoff geometry and scenario distributions rather than relying on a single directional forecast.

02 / Automation

Policy before impulse

Execution and position management are encoded as repeatable decisions with complete event histories and measurable outcomes.

03 / Risk

Portfolio before position

Margin, drawdown and aggregate Greeks define the operating envelope for every strategy and adjustment.

The control loop

A system designed to learn from every decision.

The architecture connects research, execution and review so that live observations can improve future policy.

01

Observe

Ingest live and historical market data across the full options surface.

02

Structure

Construct multi-leg positions around probability, volatility and defined portfolio constraints.

03

Execute

Route and monitor orders through an event-driven infrastructure designed in Rust.

04

Rebalance

Use systematic policies to decide when intervention improves the position's risk profile.

Risk architecture

Risk is the design constraint, not the final check.

Position rules and portfolio limits are being formalized alongside the backtesting simulator, with explicit objectives for drawdown, margin and Greek exposure.

Read the risk roadmap

Operating envelope

Framework in design

Position

Defined loss, liquidity, assignment and event risk

Portfolio

Net Greeks, concentration, correlation and margin

Process

Execution quality, model drift and operational resilience

Governance

Decision logs, review cadence and escalation rules

Evidence over narrative

A live proprietary track record, shown with context.

Performance is published as an evolving operating record—not as a promise. Explore equity, drawdown, monthly results and strategy breakdowns directly.

Open performance dashboard

Research & partnerships

Interested in how systematic options research becomes an operating firm?

We welcome conversations with researchers, infrastructure partners and market professionals.

Start a conversation