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Lead developer
al
IronHawk Capital
I'm Wennide Mogore, Lead Quantitative Developer at IronHawk Capital. I work directly with clients on MQL5, MT5 and Python trading-system projects, from the first specification to testing, delivery and post-delivery support.
Official website: https://ironhawk-capital.netlify.app/
My work includes custom EAs and indicators, MT5-Python integration, multi-symbol engines, trade execution and recovery logic, risk-management modules, dashboards, logging, Telegram and API integrations, code audits, MT4-to-MT5 migrations and debugging of existing systems.
I pay particular attention to the parts that often fail outside a backtest: broker-specific execution rules, volume and price normalization, partial fills, restart recovery, duplicate-order prevention, position protection, non-repainting logic and clear diagnostics.
My public MQL5 CodeBase work demonstrates confirmed swing detection, multi-timeframe analysis, ATR-based confluence zones and structured chart visualization. Client systems remain confidential, but relevant anonymized samples can be provided within MQL5 when appropriate.
IronHawk handles each project through a written scope, agreed milestones, structured testing and documented delivery. The final package can include source code, compiled files, setup instructions, test evidence, bug correction within the agreed scope and technical follow-up.
I do not promise trading profitability. My responsibility is to translate clear trading rules into reliable, testable software and to explain technical limitations before development begins.
For an accurate proposal, please include the platform, symbols, timeframes, broker/account type, strategy rules, risk requirements, required integrations and examples of the expected behaviour.
Official website: https://ironhawk-capital.netlify.app/
My work includes custom EAs and indicators, MT5-Python integration, multi-symbol engines, trade execution and recovery logic, risk-management modules, dashboards, logging, Telegram and API integrations, code audits, MT4-to-MT5 migrations and debugging of existing systems.
I pay particular attention to the parts that often fail outside a backtest: broker-specific execution rules, volume and price normalization, partial fills, restart recovery, duplicate-order prevention, position protection, non-repainting logic and clear diagnostics.
My public MQL5 CodeBase work demonstrates confirmed swing detection, multi-timeframe analysis, ATR-based confluence zones and structured chart visualization. Client systems remain confidential, but relevant anonymized samples can be provided within MQL5 when appropriate.
IronHawk handles each project through a written scope, agreed milestones, structured testing and documented delivery. The final package can include source code, compiled files, setup instructions, test evidence, bug correction within the agreed scope and technical follow-up.
I do not promise trading profitability. My responsibility is to translate clear trading rules into reliable, testable software and to explain technical limitations before development begins.
For an accurate proposal, please include the platform, symbols, timeframes, broker/account type, strategy rules, risk requirements, required integrations and examples of the expected behaviour.
Wennide Mogore
Codice pubblicato Session Manipulation and Algorithmic Reaction Tracker
Sessione ICT/SMC con barra chiusa – scanner di liquidità per tre simboli, con MSS confermati, ritest FVG, proiezioni rischio/rendimento e contesto macroeconomico opzionale.
52
503
Wennide Mogore
Codice pubblicato IronHawk SMC Trade Zones M5
Un indicatore M5 a barra chiusa che combina struttura di mercato, analisi della liquidità, BOS/CHoCH e momentum per visualizzare punti di ingresso, SL, TP1 e TP2, con segnali a frequenza retail e cronologia delle impostazioni cliccabile.
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129
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Wennide Mogore
An MT5 trade request returning “success” does not mean the execution pipeline succeeded.
In live systems, I consider an order complete only after four separate states are verified:
1. The request was accepted.
2. A deal was actually created.
3. The expected position exists with the correct volume.
4. The SL and TP are confirmed on the broker side.
TRADE_RETCODE_PLACED, TRADE_RETCODE_DONE and TRADE_RETCODE_DONE_PARTIAL are not interchangeable. Volume must respect SYMBOL_VOLUME_STEP, prices must be aligned to SYMBOL_TRADE_TICK_SIZE, and the filling policy must match the symbol’s supported execution mode.
On the MQL5 side, OnTradeTransaction should be treated as the source of truth. A fixed Sleep() followed by an assumption is not execution control.
The harder problem is restart safety. If MT5 or the Python process stops after the deal is created but before protection is applied, the system must reconstruct the previous intent, protect the existing position and avoid sending a duplicate order.
This is often the difference between an EA that passes a backtest and a trading system that survives a real broker.
In live systems, I consider an order complete only after four separate states are verified:
1. The request was accepted.
2. A deal was actually created.
3. The expected position exists with the correct volume.
4. The SL and TP are confirmed on the broker side.
TRADE_RETCODE_PLACED, TRADE_RETCODE_DONE and TRADE_RETCODE_DONE_PARTIAL are not interchangeable. Volume must respect SYMBOL_VOLUME_STEP, prices must be aligned to SYMBOL_TRADE_TICK_SIZE, and the filling policy must match the symbol’s supported execution mode.
On the MQL5 side, OnTradeTransaction should be treated as the source of truth. A fixed Sleep() followed by an assumption is not execution control.
The harder problem is restart safety. If MT5 or the Python process stops after the deal is created but before protection is applied, the system must reconstruct the previous intent, protect the existing position and avoid sending a duplicate order.
This is often the difference between an EA that passes a backtest and a trading system that survives a real broker.
Wennide Mogore
Codice pubblicato IronHawk Fibonacci Structure Map
Indicatore MT5 gratuito che traccia automaticamente i livelli di Fibonacci su più intervalli di tempo ed evidenzia le zone di confluenza, la struttura di mercato, le aree di premio/sconto e le reazioni chiave dei prezzi.
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47
290
Wennide Mogore
Hai lasciato un feedback al cliente per il lavoro Knowledgeable developer
Very good client, highly recommended.
Wennide Mogore
Codice pubblicato The Quantitative Microstructure Matrix (SMC / FVG / Z-Score Engine)
Smettila di fare trading sulla base delle fluttuazioni del mercato al dettaglio. Questo è uno scanner multi-asset asincrono di livello istituzionale. Combina il True Fractal CHOCH, le anomalie volumetriche Z-Score e la convalida del Fair Value Gap (FVG) per individuare blocchi di ordini ad alta probabilità senza bloccare il tuo terminale.
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2
40
461
Wennide Mogore
Prodotto pubblicato
Overview Wennide.JordanOSC is an advanced algorithmic indicator built specifically for traders seeking high-probability trend reversals and institutional-grade precision. By combining multi-structure price action (ZigZag) with advanced momentum validation (MACD), this indicator filters out market noise and pinpoints clean, high-reward continuation and reversal points. Designed to operate seamlessly on timeframes up to M30 max, JordanOSC provides clear, non-repainting visual signals that empower