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Lead developer
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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
Publicado o código Session Manipulation and Algorithmic Reaction Tracker
Sessão ICT/SMC com barra fechada — scanner de liquidez para três símbolos, com MSS confirmados, retestes de FVG, projeções de risco/recompensa e contexto macroeconômico opcional.
90
503
Wennide Mogore
Publicado o código IronHawk SMC Trade Zones M5
Um indicador M5 de barras fechadas que combina estrutura de mercado, varreduras de liquidez, BOS/CHoCH e momentum para exibir Entrada, SL, TP1 e TP2, com sinais na frequência do mercado de varejo e histórico de configurações clicável.
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1
106
623
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
Publicado o código IronHawk Fibonacci Structure Map
Indicador gratuito para o MT5 que mapeia automaticamente os níveis de Fibonacci em vários intervalos de tempo e destaca zonas de confluência, estrutura de mercado, áreas de prêmio/desconto e reações-chave dos preços.
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1
104
290
Wennide Mogore
Feedback deixado para o cliente no serviço Knowledgeable developer
Very good client, highly recommended.
Wennide Mogore
Publicado o código The Quantitative Microstructure Matrix (SMC / FVG / Z-Score Engine)
Pare de negociar com base em ruídos do mercado de varejo. Este é um scanner multiativos assíncrono de nível institucional. Ele combina o True Fractal CHOCH, anomalias volumétricas de Z-Score e validação do Fair Value Gap (FVG) para detectar blocos de ordens de alta probabilidade sem travar seu terminal.
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2
198
461
Wennide Mogore
Produto publicado
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