Engineering case studies

Six focused case studies—one responsibility per system.

Choose a system to review its problem, architecture, technology, evidence, limitations, and public/private boundary on a dedicated page.

05 applications01 architecture study55 documented interface views

Quant Research Workstation main studio with Rule Setup discovery, CatBoost training, validation, and model-engineering controls. — BuildQuant Research Workstation

Multi-asset decision and position-management center showing currency strength, directional charts, Top Picks, entry filters, position controls, and safety status. — Decide & manageCurrency Strength & Position Management Dashboard

SignalFileTrader execution agent on a MetaTrader chart with command, risk, sizing, position-action, and runtime status panels. — ExecuteSignalFileTrader PRO

Select a system

Start with the engineering responsibility.

Each card opens an independent, shareable case-study URL. The source code remains private; screenshots and non-sensitive technical evidence are documented here.

SMC Pro EURUSD M5 chart showing current multi-timeframe supply and demand zones, structural levels, and live reaction areas.

MT4 analysis & trade management

SMC Pro for MetaTrader 4

A MetaTrader 4 platform that combines analysis and trade management with per-timeframe capture of 52 Smart Money parameters, dataset generation for model training and profitable-combination research, and timed live-market output for Hybrid Setup across seven major FX pairs plus XAUUSD.

Receives: Chart data and 52 parameters per timeframe
Produces: Research datasets and timed Hybrid snapshots

Private codebaseOpen detailed case study

Setup discovery & model engineering

Quant Research Workstation

A Python desktop research environment that turns historical datasets into rule-based setups and machine-learning models, then evaluates them with time-aware validation, walk-forward analysis, forward testing, and threshold/risk experiments.

Receives: Historical datasets and research configuration
Produces: Rule setups, models, gates, and validation evidence

Private codebaseOpen detailed case study

Hybrid signal engine dashboard showing live symbol monitoring, Rule Setup evidence, model outputs, support and reward statistics, SSI, and timeframe distributions.

Live Rule + ML signal fusion

Hybrid Setup Comparison Dashboard

A live signal engine for seven major FX pairs plus XAUUSD that compares current market data with rule setups discovered from datasets and combines that evidence with CatBoost classification, regression, and higher-timeframe controls.

Receives: Live data, extracted rules, and CatBoost models
Produces: Auditable Hybrid score and gated signal output

Private codebaseOpen detailed case study

Trade decisions & position management

Currency Strength & Position Management Dashboard

The operational decision center that receives Hybrid outputs, combines them with currency and directional strength, ATR and multiple trade filters, ranks opportunities, authorizes entries, and continuously manages open positions.

Receives: Hybrid output, strength, ATR, market and portfolio state
Produces: Ranked opportunities and position actions

Private codebaseOpen detailed case study

Separate MetaTrader execution agent

SignalFileTrader PRO

A separate MetaTrader 4 execution application that receives entry and position-management commands, validates them locally, handles broker orders, and returns acknowledgement, execution, rejection, or error states to the decision center.

Receives: Approved entry and position commands
Produces: MT4 acknowledgement, execution, rejection, or error

Private codebaseOpen detailed case study

Connected system architecture

Multi-Asset Trading System Architecture

Explain how research, the Hybrid signal engine, the multi-asset decision center, SignalFileTrader, MetaTrader execution, position supervision, and feedback operate as connected but separately responsible applications.

Receives: Application outputs and status boundaries
Produces: Documented data, command, execution, and feedback flow

Private codebaseOpen detailed case study

Connected demo workflow

Integration and execution evidence

This synchronized demo capture shows the decision and position-management application, its command journal, and MetaTrader execution state together.

Documented demo integration capture showing MetaTrader 4, the PPM Control Center command journal, and the FX Signal Control Center operating together. — **End-to-end demo integration evidence: terminal state, PPM command lifecycle, acknowledgements, reductions, executions, and monitoring visible in one synchronized capture.**
Source details
Source: User-supplied original demo integration capture · approved for public portfolio presentation · presentation crop only

The applications are separate but connected. The capture documents command and status flow in a demo environment; it is not audited performance evidence or a profit claim.

Technical collaboration

Have a system boundary, workflow, or execution problem worth discussing?

Share the current context, the main constraint, and the outcome you need. The enquiry template keeps the first conversation focused and technically useful.

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SMC Pro for MetaTrader 4

Receives

Chart data and 52 parameters per timeframe

Produces

Research datasets and timed Hybrid snapshots

Quant Research Workstation

Receives

Historical datasets and research configuration

Produces

Rule setups, models, gates, and validation evidence

Hybrid Setup Comparison Dashboard

Receives

Live data, extracted rules, and CatBoost models

Produces

Auditable Hybrid score and gated signal output

Currency Strength & Position Management Dashboard

Receives

Hybrid output, strength, ATR, market and portfolio state

Produces

Ranked opportunities and position actions

SignalFileTrader PRO

Receives

Approved entry and position commands

Produces

MT4 acknowledgement, execution, rejection, or error

Multi-Asset Trading System Architecture

Receives

Application outputs and status boundaries

Produces

Documented data, command, execution, and feedback flow