Open MQL5 profileNeoGenesis began with a practical question: how can AI contribute to trading without being given uncontrolled authority over an account? My answer was to build a system in which external AI evaluates multi-timeframe market conditions, while the EA independently checks every proposed action against spread, quote freshness, broker requirements, margin, economic news, market exposure and account-risk limits.
My development approach is based on careful engineering rather than black-box promises. NeoGenesis includes two distinct trading modes, support for multiple AI providers, cost-aware multi-symbol requests, restart-safe operating memory and protection that can be limited specifically to trades identified by the selected Magic Number. Considerable attention has also been given to readable settings, transparent journal messages and practical recovery after terminal or VPS restarts.
I believe users should understand both the capabilities and limitations of the software they operate. No Expert Advisor or AI model can guarantee trading results, and simulated testing cannot fully reproduce live execution. I encourage every user to study the settings, begin with a demo account and choose risk limits appropriate for their broker and trading rules.
As an MQL5 seller, my priorities are clear documentation, responsible development and continued improvement. When users report a problem, detailed logs and settings are always welcome because reliable software is built through careful testing, honest feedback and precise corrections.
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