How NeoGenesis works.
From a single chart to a validated, AI-assisted order — here is the full deployment sequence, the difference between the two modes, and the answers to the questions traders ask first.
Four steps to live execution.
Install on one MT5 chart
Download NeoGenesis from the MQL5 Market and attach it to a single chart. One instance monitors all your configured symbols — no separate chart per instrument.
Configure symbols and AI provider
Enter the exact broker symbol names and your API key from a supported AI provider. Set the trading mode, risk parameters, and any optional monitors or trailing stop.
Allow the provider URL in WebRequest
In MT5 settings, add the AI provider URL to the allowed WebRequest list so the EA can reach the API. Without this, no live AI request can be sent.
Context, decision, validation, execution
NeoGenesis assembles market context, requests a structured AI decision, and validates the proposal against your entry and risk rules before placing an order.
Protected TP/SL vs Reactive Grid.
The two modes apply fundamentally different risk architectures. Understand the difference before you deploy.
Frequently asked.
NeoGenesis works with supported AI providers that expose an API you can call from MT5. You bring your own API key and allow the provider URL in MT5 WebRequest settings. Check the MQL5 listing for the current list of supported providers.
System Requirement · Risk Note
Trading foreign exchange, cryptocurrencies, indices, stocks and commodities on margin carries a high level of risk and may not be suitable for all investors. You can lose some or all of your invested capital. The Reactive Grid mode can build substantial floating exposure and requires a hedging account; Grid positions carry no individual stop loss. No AI model, risk setting, or protection feature guarantees profit. Past performance is not indicative of future results. NeoGenesis is a decision-assistance tool, not financial advice.
Ready to deploy NeoGenesis?
Install from the MQL5 Market, configure your symbols and AI provider, and let the engine assemble context, request decisions, and validate before execution.