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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.
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.
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
Hat den Code IronHawk SMC Trade Zones M5 veröffentlicht
A closed-bar M5 indicator combining market structure, liquidity sweeps, BOS/CHoCH and momentum to display Entry, SL, TP1 and TP2, with retail-frequency signals and clickable setup history.
1
144
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
Hat den Code IronHawk Fibonacci Structure Map veröffentlicht
Free MT5 indicator that automatically maps Fibonacci levels across multiple timeframes and highlights confluence zones, market structure, premium/discount areas and key price reactions.
1
67
Wennide Mogore
Hat eine Bewertung über den Kunden hinsichtlich des Auftrags Knowledgeable developer abgegeben
Very good client, highly recommended.
Wennide Mogore
Hat den Code The Quantitative Microstructure Matrix (SMC / FVG / Z-Score Engine) veröffentlicht
Hören Sie auf, sich vom Trubel der Privatanleger beeinflussen zu lassen. Dies ist ein asynchroner Multi-Asset-Scanner auf institutionellem Niveau. Er kombiniert True Fractal CHOCH, volumetrische Z-Score-Anomalien und die Fair-Value-Gap-Validierung (FVG), um Orderblöcke mit hoher Wahrscheinlichkeit zu erkennen, ohne dass Ihr Terminal dabei einfriert.
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46
292
Wennide Mogore
Hat ein Produkt angeboten
Übersicht Wennide.JordanOSC ist ein fortschrittlicher algorithmischer Indikator, der speziell für Trader entwickelt wurde, die nach Trendwenden mit hoher Wahrscheinlichkeit und Präzision auf institutionellem Niveau suchen. Durch die Kombination von mehrstufiger Kursentwicklung (ZigZag) mit fortschrittlicher Momentum-Validierung (MACD) filtert dieser Indikator Marktrauschen heraus und identifiziert klare, hochrentable Fortsetzungs- und Umkehrpunkte. Der JordanOSC ist für den nahtlosen Einsatz in