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A connected suite of applications that builds setups and models from historical data, evaluates live conditions, selects trades, executes approved commands in MetaTrader, and supervises open positions.
SMC Prorecords 52 Smart Money parameters per timeframe, builds model-training datasets, and schedules the live feed for Hybrid Setup across seven major currencies and gold.
The ecosystem in one sentence
SMC Pro captures 52 Smart Money parameters per timeframe for research datasets and times the live feed; historical evidence becomes setups and models; Hybrid scores live conditions; the decision center manages trades; SignalFileTrader executes approved MetaTrader commands.
Inspect the architectureReal applications · one connected workflow
Each application owns a distinct responsibility. Together they form a transparent research-to-execution chain without disguising conceptual artwork as product evidence.
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 currencies and gold.
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.
A live signal engine for seven major currencies and gold that compares current market data with rule setups discovered from datasets and combines that evidence with CatBoost classification, regression, and higher-timeframe controls.
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.
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.
How the automated workflow operates
The output of each step becomes the input of the next. Decisions and execution remain separate so that commands and results can be inspected.
The research workstation discovers rule-based setups, engineers features, trains models, and validates them with time-aware and forward-test workflows.
For the seven major currencies and gold, live data is compared with discovered setups and evaluated by CatBoost classification, regression, and higher-timeframe gates.
Hybrid outputs are combined with currency strength, directional context, ATR, market filters, portfolio constraints, and signal-quality checks.
Entry and position-management commands are passed to a separate MetaTrader execution application through a controlled file-based interface.
SignalFileTrader performs terminal-side checks, handles broker orders, prevents duplicate processing, and reports acknowledgements or errors.
The decision center continues monitoring open positions and may issue HOLD, ADD, REDUCE, or EXIT commands as market and risk conditions change.
System architecture
The architecture follows data from the research workstation to the Hybrid engine, decision center, SignalFileTrader, MetaTrader, and the position-management feedback loop.
Open the system flow01Research & models02Hybrid live scoring03Trade decision & PM04Execution agent
05MT4 result & feedbackConnected applications in a demo test
A real owner-approved demo capture showing the decision and position-management center, command journal, and MetaTrader execution state at the same time.
End-to-end integration view
The capture shows a command leaving the management workflow, reaching the MetaTrader-side application, and returning status and execution information. It demonstrates software integration in a demo environment, not trading performance.
Independent engineering practice
The portfolio covers setup discovery, model engineering, live Hybrid scoring, multi-asset trade selection, position management, and MetaTrader execution while keeping sensitive operating details private.
Technical collaboration
Share the current context, the main constraint, and the outcome you need. The enquiry template keeps the first conversation focused and technically useful.