MQL5 Algo Trading
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Enhancing our MQL5 dashboard panel with interactive components is the next critical phase. Following an initial static setup, focus shifts towards automating button functionalities to ensure an intuitive user interface. The goal is to create a dynamic trading tool by setting up events that trigger actions upon user interaction.

We will automate various buttons for trading operations such as "Open Buy", "Sell", and others needed for market engagement. Additionally, automation extends to closure and information buttons providing account details. The "OnTick" event handler will update account information in real-time.

"OnChartEvent" will handle user interactions, including mouse movements and button clicks. Implementing this structure will streamline the trading process within the MetaTrader 5 environment, enhancing user experience.
#MQL5 #MT5 #automation #AlgoTrading

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In the ongoing development of our automated optimization pipeline for Expert Advisors (EA), we've yet to fully automate the decision-making process. When implementing strategies, it's crucial to balance automation with the tactical choice of parameters to ensure long-term profitability. The Validate EA by @fxsaber is a notable tool in this realm, facilitating periodic re-optimization over extensive periods.

Analyzing code bottlenecks is essential. The SymbolInfo methods were frequently called, highlighting inefficiencies. Replacing redundant calls with a shared CSymbolsMonitor class, using Singleton patterns, improved performance by managing symbol-related operations at a higher level, thus reducing unnecessary resource consumption.

The VirtualAdvisor and CVirtualOrder classes were refined, enhancing the code's efficiency by limiting symbol informati...

👉 Read | AlgoBook | @mql5dev

#MQL5 #MT5 #automation
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