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Christophe Pa Trouillas  
We created this algo to complete our capital risk-managed architecture to maximize our financial independence.

GoldZILLA AI is a multi-strategy algorithm detecting market regimes to dynamically select from five distinct strategies, optimizing returns while minimizing drawdown on XAUUSD.

[ Join our Dedicated group to ask your questions: click here ]


🔹 Dynamic multi-strategy approach

  • Advanced market regime detection for optimal strategy selection
  • Five distinct trading strategies tailored for these market regimes
  • Symmetric algorithmic rules for both buy and sell signals

🔹 Risk diversification

  • Multiple timeframe analysis (M5 to H1)
  • Five uncorrelated strategies reducing overall portfolio risk
  • Dynamic risk adjustment based on market conditions
  • Stop-loss protection on all positions

🔹 Advanced AI Risk Management

  • Powered by Grok Large Language Model with live web search
  • Real-time macro analysis and news event monitoring
  • Daily trend forecasts with detailed reasoning

🔹 Gold-optimized performance

  • Specifically designed for XAUUSD CFD trading
  • Capitalizes on Gold's unique volatility characteristics
  • Multiple strategies tailored for Gold's price behavior

🔹 Highest ethical backtesting & Trustworthy live performance

  • 100% qualitative data with no omissions
  • Zero manipulation of historical stop losses or take profits
  • No overfitting
  • Regular comparison of the Live Signal with the Backtests to check their alignment
At your disposal,

Chris and MSP Team
Adul Tanthuvanit  
I just purchased the product. Please send me the User Manual.
Christophe Pa Trouillas  
Adul Tanthuvanit #:
I just purchased the product. Please send me the User Manual.
Thanks Adul for your purchase of this new algo in our global portfolio risk-architecture^^
At your disposal,
Chris
Christophe Pa Trouillas  

// GoldZILLA UPDATE //

Getting close to full Capital Protection: 100% Return
But not there yet ^^



Christophe Pa Trouillas  

// GoldZILLA Live Signal Update //

🎯 Full Capital Protection achieved

✅ +100% Return in 12 weeks


Did you take profit of the early bird price? ^^

Christophe Pa Trouillas  

// GoldZILLA Live Signal Update //


🎯 Full Capital Protection achieved

✅ +109% Return in 12 weeks


FYI: Early Birds Price at $149 ending soon >> $299 coming up


Christophe Pa Trouillas  

// GoldZILLA Live Signal Update //


✅ +115% Return in 12 weeks

🎯 Full Capital Protection achieved



FYI: Early Birds Price at $149 ending soon >> $299 coming up


Christophe Pa Trouillas  

/// REAL REVIEW REPORT

Cyberhiga has got his investment recouped in ... 5 days



FYI: Early Birds Price at $149 ending soon >> $299 coming up

Christophe Pa Trouillas  
// VERSION UPDATE //

Version 1.2 2026.04.07

✅ Made comment field editable.

👉 Advise to update.
👉 Make sure you close all pending position before re-attaching.
Christophe Pa Trouillas  
c



/////////////

🔥 GoldZILLA AI gets independently Reviewed

😊 Flattered

"I basically reviewed this bot because this guy knows what he is doing" 0.53

"Overall it looks pretty good, it looks like a pretty solid bot, specially it's super cheap" 6.49

☝️ Last week-end at $169 then $199

GoldZILLA Metrics
◾️ Returns: +117% in 15 weeks
◾️ Max DD: -12%
◾️ Win rate: 62.5%

https://youtu.be/lbBh0oSZNCA?si=whCWXN35PZrI6ZZb

Christophe Pa Trouillas  

/// PRICE UPDATE - LAST WEEK-END AT $189


🔹 GoldZILLA has entered the TOP 30 of MQL5. Thanks to early adopters who evaluated positively our work.

Why did they enter early?

Based on current live signal performances,

  • the system is delivering the strongest returns vs price ratio of the TOP 30
  • at $189, the entry cost the payback period is exceptionally short (see below).

- 6 days for a $1000 account

- 2 days for a $1000 account (details in the dedicated group below)


👉 This makes GoldZILLA one of the best deal of this TOP 30

👉 This makes GoldZILLA also underpriced so the price should go up


Take advantage of it before the raise!

Chris








NB: the review was made while the price was $149 

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