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Quantitative systems engineeringTehran · Remote
RESEARCHDECISIONEXECUTION.
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.
REAL PROJECT INTERFACESFIVE CONNECTED APPLICATIONSNO PERFORMANCE CLAIM
01Research02Model runtime03Decision04Risk05Execution
SETUP DISCOVERY✦CATBOOST MODELS✦HYBRID SIGNAL FUSION✦TRADE SELECTION✦METATRADER EXECUTION✦POSITION MANAGEMENT✦SETUP DISCOVERY✦CATBOOST MODELS✦HYBRID SIGNAL FUSION✦
The ecosystem in one sentence
Five applications. One connected trading workflow.Each application has one clear responsibility.
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
Five engineered systems, shown through their actual interfaces.
Each application owns a distinct responsibility. Together they form a transparent research-to-execution chain without disguising conceptual artwork as product evidence.
- 01Analyze
- 02Research
- 03Fuse
- 04Decide / Risk
- 05Execute
01Analyze
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 currencies and gold.
- MQL4
- MetaTrader 4
- 52 Smart Money parameters
02Research
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.
- Python
- pandas / NumPy
- CatBoost
03Fuse
Hybrid Setup Comparison Dashboard
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.
- Python
- Rule-based setup matching
- CatBoost classification
04Decide / Risk
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.
- Python
- Currency & directional strength
- ATR and confluence filters
05Execute
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.
- MQL4
- MetaTrader 4
- File-based command bridge
How the automated workflow operates
Six steps from historical research to position feedback.
The output of each step becomes the input of the next. Decisions and execution remain separate so that commands and results can be inspected.
- 01STAGE 01
Build setups and models from historical data
The research workstation discovers rule-based setups, engineers features, trains models, and validates them with time-aware and forward-test workflows.
- 02STAGE 02
Score live conditions with the Hybrid engine
For the seven major currencies and gold, live data is compared with discovered setups and evaluated by CatBoost classification, regression, and higher-timeframe gates.
- 03STAGE 03
Select trades in the decision center
Hybrid outputs are combined with currency strength, directional context, ATR, market filters, portfolio constraints, and signal-quality checks.
- 04STAGE 04
Send approved commands to SignalFileTrader
Entry and position-management commands are passed to a separate MetaTrader execution application through a controlled file-based interface.
- 05STAGE 05
Validate and execute inside MetaTrader
SignalFileTrader performs terminal-side checks, handles broker orders, prevents duplicate processing, and reports acknowledgements or errors.
- 06STAGE 06
Supervise positions and adapt commands
The decision center continues monitoring open positions and may issue HOLD, ADD, REDUCE, or EXIT commands as market and risk conditions change.
System architecture
See exactly which program creates, decides, executes, and reports.
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 flow05core applications
06case studies
21verified interface views
architecture.map / research-to-executionCONNECTED APPLICATION FLOW
01Research & models02Hybrid live scoring03Trade decision & PM04Execution agent
05MT4 result & feedbackDECISION CENTER → SIGNALFILETRADER → MT4
Connected applications in a demo test
Decision, command, execution, and feedback visible together.
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 programs are separate, but their command flow is connected.
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.
- Terminal
- MetaTrader 4 demo execution state
- Control
- PPM command flow and execution journal
- Monitoring
- FX Signal Control Center decision and safety state
Source details
Source: User-supplied original demo integration capture · owner-approved for public portfolio use · presentation crop only
HAMID HADDADIANQuantitative Trading Systems Developer
Independent engineering practice
Building the complete path from research to controlled execution.
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
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.
- Context
- Boundaries
- Next step