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Inquiry, validation and experimentation

Research and Experiments

Accepted research, current validation work and technical experiments focused on transparent methods and careful interpretation.

Accepted research paper

Accepted for ISM 2026

Simulation and Historical Evaluation of Validation-Gate Design in a Regime-Adaptive Decision System

Examines how validation gates shape a regime-adaptive decision system, separating simulation from historical evaluation and keeping the limits of both explicit.

01 Simulation

Controlled evaluation of gate behaviour under explicit conditions.

02 Historical evaluation

Performance examined against recorded market regimes and constraints.

03 Interpretation

Simulation and historical findings are reported separately.

Accepted paper. Proceedings details, publication date and DOI are not yet recorded.

Current research program

What is being tested next

The accepted paper is a milestone, not an endpoint. The next work focuses on reproducibility, ablation and the boundaries of generalization.

01

Reproducibility

Validation-gate ablation

Isolate the contribution of individual validation gates and test whether the observed effect survives alternative specifications, seeds and reporting choices.

02

Generalizability

Cross-domain proxy evaluation

Examine how the decision-system logic transfers beyond the original market setting, including the limits of manufacturing and operational proxy data.

03

Research design

Regime-aware historical evaluation

Compare simulation with historical results across distinct market regimes, keeping methods and conclusions traceable.

Project status

Public projects link to code or notebooks; experiments are shared as early technical explorations.

Public project Experiment

Technical studies

Analysis and model interpretation

Archived project Quantitative analysis tool

FxPM Backtester

A Python backtesting engine for evaluating forex strategies against historical data before integration with the FxPM portfolio manager.

Technology stack
  • Python
  • Data Analysis
  • Backtesting

Experiments

Exploratory technical work

Early explorations of technical ideas and integrations, shared with their current status and source code.