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RISKKILLER – SET UP GUIDE – Buying and selling Methods – 7 July 2025

RiskKILLER AI, is our new EA challenge with Multi Belongings Danger diversified, Bitcoin boosted and AI assisted Danger administration.

📌 The idea

📌 Specs and Alerts

By default, the EA is

  • M1
  • BTC/USD, XAU/USD, EUR/USD, USD/JPY, US500

📌 Overview

RiskKILLER AI is a breakout scalping Skilled Advisor (EA) designed to establish key ranges for potential high-volatility strikes, aiming for advantageous risk-reward trades. It minimizes danger by:

  • Buying and selling in each instructions.

  • Holding positions for brief intervals.

  • Utilizing a stop-loss security web.

  • Distributing trades throughout 5 uncorrelated, common markets.

The EA contains AI help powered by the Grok3 mannequin, performing as a danger supervisor. It analyzes real-time X/Twitter and information occasion sentiment to evaluate day by day volatility and advises on adjusting the EA’s danger settings based mostly on its efficiency predictions.

📌 AI empowered Danger Administration

📌 Uncorrelated pairs and asset

📌 Optimised weight of the uncorrelated belongings

📌 Implementation

If you’re new to mql5 please observe these steps to make your buy

https://www.mql5.com/en/articles/498

Comply with these steps to arrange RiskKILLER AI:

  1. Open your MT4 or MT5 terminal.

  1. Navigate to Instruments → Choices → Skilled Advisors.

  1. Allow “Enable WebRequest for listed URLs”

  1. Join AI Grok3

  1. Image Activation

Necessary:

  1. Image names

  1. Connect the EA to charts based mostly in your platform

📌Our Commitments and backtest specs

That is what we are going to ship:

💼 The best Moral and rigorous Requirements in Backtesting

Our system adheres to strict backtesting protocols with

🔹 100% qualitative information with no omissions

🔹  zero deletion or manipulation of historic cease losses or take income.

🔹  zero overfitting

🔹  validated walkforward simulation*

🔹  validated montecarlo simulation

See our commitments and backtest specs right here and how to not be fooled when shopping for an algo

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