Private quantitative trading infrastructure

Quantitative software architecture for disciplined futures research and execution.

Dune Point Technologies develops a private Trade Framework spanning futures data engineering, systematic strategy research, shared signal semantics, portfolio-aware allocation, and broker-connected execution control.

Framework positioning

An integrated institutional-style software package, not a retail trading screen.

The Trade Framework connects the full lifecycle of systematic futures development: raw vendor history becomes auditable research data, candidate systems are discovered inside governed constraints, approved logic is promoted through a canonical signal contract, and live operation is controlled through allocation, reconciliation, durable state, and fail-closed supervision.

01Data authority

Session-aware, roll-adjusted futures data with database-backed provenance and quality controls.

02Research discipline

Multi-objective discovery, realistic simulation, layered validation, and reportable analytics.

03Signal parity

A shared feature-generation contract reduces drift between research evidence and live behavior.

04Runtime control

Broker-aware execution, portfolio gates, reconciliation, supervision, and auditable state management.

Software packages

Three specialized systems coordinated by one operating model.

Each package has a clear responsibility boundary. That separation keeps data preparation, strategy research, and live execution governance independently auditable while preserving a coherent path from research artifacts to runtime decisions.

Data

Data Management Software

Transforms third-party futures files into normalized, quality-controlled, session-aware, continuous contracts suitable for systematic research and downstream trading-system workflows.

  • Contract-level and continuous-symbol data management
  • Roll-event computation and additive adjustment
  • MySQL-backed ingestion, audit, and usability reporting
Open Data Management summary
Research

Quantitative Research Software

Converts a governed strategy design space into candidate systems through repeatable discovery, realistic trade simulation, robustness validation, and institutional-style reporting.

  • Multi-objective genetic system discovery
  • Out-of-sample, walk-forward, and cross-market validation
  • Deterministic diagnostics, Monte Carlo analysis, and PDF reporting
Open Research summary
Execution

Execution Software

Bridges validated research output into broker-aware operation with market-data readiness checks, order lifecycle controls, portfolio admission gates, reconciliation, and supervision.

  • Shared signal semantics between research and execution
  • Bid/ask-aware trigger evaluation and order management
  • Runtime supervision, fault detection, and durable audit evidence
Open Execution summary

Methodology

The principal strength is lifecycle coherence.

Data quality precedes model quality

The platform treats timestamp policy, contract lineage, roll behavior, missing data, and usability ranges as primary engineering concerns instead of assuming vendor history is directly research-ready.

Discovery is constrained and governed

Candidate systems are searched inside feasible configuration boundaries, evaluated against competing objectives, and filtered through robustness workflows before promotion.

Simulation is execution-aware

Research evaluation accounts for costs, slippage, session behavior, trade timing, position accounting, and reporting artifacts rather than relying only on simplified bar-close assumptions.

Runtime decisions are auditable

Live execution is surrounded by state persistence, broker-truth reconciliation, runtime health checks, and explicit control boundaries.

Architecture narrative

Public architecture without exposing proprietary implementation detail.

The public description remains at the methodology and package-boundary level. It does not publish source code, strategy definitions, database credentials, live positions, broker account identifiers, parameter maps, private endpoints, or trade recommendations.

01 DataAcquire, normalize, validate, sessionize, and roll-adjust.
02 ResearchSearch, simulate, validate, rank, and report.
03 AllocationEvaluate portfolio fit, capital exposure, and admission gates.
04 ExecutionRoute, supervise, reconcile, and preserve audit evidence.

Important public boundary

Dune Point Technologies is not offering investment advisory services, brokerage services, trading signals, managed accounts, or public access to the private Trade Framework through this website.