Five applications, plus one architecture study.

Why this application is needed

Discretionary market analysis becomes difficult to operate consistently when structure, liquidity zones, relative strength, timing, risk sizing, and order management are scattered across unrelated indicators and panels.

How the application works

SMC Pro consolidates these functions into a modular MQL4 workspace. Alongside structure analysis, risk, orders, and trade management, it stores 52 Smart Money parameters for every timeframe as structured records used to build training datasets and research profitable combinations. The same layer schedules and publishes live snapshots for seven major currencies and gold to the Hybrid Setup application.

Main technology

• MQL4
• MetaTrader 4
• 52 Smart Money parameters
• Model-training datasets
• Timed Hybrid live feed

Why this application is needed

Setup discovery, feature engineering, model training, validation, and forward review are hard to compare when they are spread across disconnected scripts, notebooks, and manually tracked experiment files.

How the application works

The workstation connects association-rule discovery and search methods with CatBoost classification and regression, higher-timeframe regime gates, classical and time-series models, purged/embargo validation, walk-forward optimization, model comparison, CSV forward tests, and grid searches over signal thresholds and risk.

Main technology

• Python
• pandas / NumPy
• CatBoost
• scikit-learn
• Walk-forward validation
• Forward-test tooling
• Desktop GUI

Why this application is needed

A single rule match or model prediction is too fragile to use alone. Live decisions need transparent agreement between historical setups, classification probabilities, regression direction, higher-timeframe context, data freshness, and safety gates.

How the application works

The engine produces a rule-based vote from live setup matches, reads classification and regression outputs, applies configurable weights and higher-timeframe anchors, then creates an effective Hybrid score. Audit records preserve the decision components, while only signals that pass the required gates enter the executable output stream.

Main technology

• Python
• Rule-based setup matching
• CatBoost classification
• CatBoost regression
• Higher-timeframe gates
• Multi-process model runtime
• CSV / atomic publishing

Why this application is needed

A Hybrid score alone does not answer whether a trade should be opened now, which pair has priority, how portfolio exposure affects eligibility, or what should happen after the position is already open.

How the application works

The application evaluates the seven major currencies and gold, builds ranked Top Picks, checks signal freshness and quality, market regime, confluence, cost, portfolio exposure, and safety rules, then produces traceable entry decisions. After entry, it keeps supervising positions and can issue HOLD, ADD, REDUCE, or EXIT commands as conditions change.

Main technology

• Python
• Currency & directional strength
• ATR and confluence filters
• Trade ranking / Top Picks
• Position supervision
• Command lifecycle
• MetaTrader-linked file interfaces

Why this application is needed

The Python decision system should not call the broker directly. A terminal-side application is needed to validate command freshness and structure, apply local controls, prevent duplicate processing, manage order actions, and report what actually happened in MetaTrader.

How the application works

SignalFileTrader uses a file-mediated command interface between Python and MT4. It processes eligible commands, applies terminal and order checks, handles entry and management actions, records the command lifecycle, and sends status/result information back to the connected decision application.

Main technology

• MQL4
• MetaTrader 4
• File-based command bridge
• Order validation
• Acknowledgement & result states

Why this application is needed

Without a clear system map, several connected applications can look like unrelated dashboards—or be incorrectly described as one monolithic program.

How the application works

The architecture documents program boundaries, data and command direction, the distinction between signal generation and execution, and the feedback loop from MetaTrader results back to position supervision. SMC Pro is presented as a separate integrated MT4 analysis and trade-management platform within the same engineering portfolio.

Main technology

• System architecture
• Python applications
• MQL4 / MetaTrader 4
• CSV and file interfaces
• Operational monitoring