Rustan Mallari
Hello everyone 👋
Here is my 15-day live update using Quantum Queen EA.
As mentioned in my previous post, I purchased Quantum Queen for USD 1,400 and began live deployment under real market conditions.
For transparency, I decided to test it across three different account types with CXM:
🔧 My Current Setup
Broker: CXM
Accounts Tested:
• CENT Account
• ECN Account
• ZERO Spread Account
Symbol: XAUUSD (Gold)
Risk Setting: Medium–High (default optimized settings)
VPS: MQL5 VPS – 1.67ms latency
📊 15-Day Performance Review
1️⃣ Execution & Trade Behavior
From the attached trade history across all 3 accounts:
• The EA trades primarily during late New York to Asian session
• Positions are short-duration (1–10 minutes average)
• Multiple structured entries per session
• Selective trading — not constant overtrading
One thing I observed clearly:
✔ It avoids abnormal spread spikes
✔ It does not aggressively trade during unstable market crashes
✔ It behaves cautiously during volatile conditions
Execution between ECN and ZERO spread accounts was noticeably clean.
CENT account also performed well, but lot sizing behavior differs slightly due to cent structure.
2️⃣ Spread Comparison (CXM Accounts)
CENT Account
Larger lot sizing scaling (as expected)
Stable execution
Good short-term pip capture
ECN Account
Clean fills
Slightly tighter trade management
Consistent profit structure
ZERO Spread Account
Very clean execution
Profits align closely with ECN behavior
Lower spread impact on short scalps
Overall observation:
The EA adapts well across different spread environments, but ECN and ZERO accounts appear optimal for tighter execution.
3️⃣ Trade Characteristics (From History)
Based on the attached logs:
• Trades captured 200–600+ pips per move (Gold pricing scale)
• Average duration: 1–8 minutes
• Win/loss distribution remains controlled
• Losses are contained relative to wins
• Structured position layering observed
The system does not appear random. Entries are clustered around structured price movement phases.
4️⃣ Drawdown Observation (First 15 Days)
So far:
• Drawdowns have remained manageable under Medium–High risk
• No extreme volatility spikes encountered
• Account equity movement appears stable
Of course, 15 days is still early — but behavior has been consistent.
5️⃣ General Impression After 15 Days
My honest observations:
✔ The EA behaves professionally
✔ It avoids chaotic market entries
✔ It trades during calmer liquidity windows
✔ It performs consistently across 3 account types
✔ It respects execution quality (spread/slippage awareness)
It is not a “spray and pray” bot.
It waits. Then executes.
🔎 Important Reminder
15 days is not long-term data.
Market conditions change.
But based on:
• Execution behavior
• Trade logic
• Spread sensitivity
• Multi-account consistency
I am satisfied with the structure so far.
📌 What’s Next?
I will continue monitoring:
• Performance through a trending gold phase
• Behavior during high-impact news
• Drawdown stability
• 30-day and 60-day metrics
I will provide another update at the 30-day mark with deeper statistics.
Thank you again to the developer.
Looking forward to seeing how Quantum Queen performs in different market cycles.
— Rustan Mallari
Philippines 🇵🇭
Happy trading everyone 🚀📈
Here is my 15-day live update using Quantum Queen EA.
As mentioned in my previous post, I purchased Quantum Queen for USD 1,400 and began live deployment under real market conditions.
For transparency, I decided to test it across three different account types with CXM:
🔧 My Current Setup
Broker: CXM
Accounts Tested:
• CENT Account
• ECN Account
• ZERO Spread Account
Symbol: XAUUSD (Gold)
Risk Setting: Medium–High (default optimized settings)
VPS: MQL5 VPS – 1.67ms latency
📊 15-Day Performance Review
1️⃣ Execution & Trade Behavior
From the attached trade history across all 3 accounts:
• The EA trades primarily during late New York to Asian session
• Positions are short-duration (1–10 minutes average)
• Multiple structured entries per session
• Selective trading — not constant overtrading
One thing I observed clearly:
✔ It avoids abnormal spread spikes
✔ It does not aggressively trade during unstable market crashes
✔ It behaves cautiously during volatile conditions
Execution between ECN and ZERO spread accounts was noticeably clean.
CENT account also performed well, but lot sizing behavior differs slightly due to cent structure.
2️⃣ Spread Comparison (CXM Accounts)
CENT Account
Larger lot sizing scaling (as expected)
Stable execution
Good short-term pip capture
ECN Account
Clean fills
Slightly tighter trade management
Consistent profit structure
ZERO Spread Account
Very clean execution
Profits align closely with ECN behavior
Lower spread impact on short scalps
Overall observation:
The EA adapts well across different spread environments, but ECN and ZERO accounts appear optimal for tighter execution.
3️⃣ Trade Characteristics (From History)
Based on the attached logs:
• Trades captured 200–600+ pips per move (Gold pricing scale)
• Average duration: 1–8 minutes
• Win/loss distribution remains controlled
• Losses are contained relative to wins
• Structured position layering observed
The system does not appear random. Entries are clustered around structured price movement phases.
4️⃣ Drawdown Observation (First 15 Days)
So far:
• Drawdowns have remained manageable under Medium–High risk
• No extreme volatility spikes encountered
• Account equity movement appears stable
Of course, 15 days is still early — but behavior has been consistent.
5️⃣ General Impression After 15 Days
My honest observations:
✔ The EA behaves professionally
✔ It avoids chaotic market entries
✔ It trades during calmer liquidity windows
✔ It performs consistently across 3 account types
✔ It respects execution quality (spread/slippage awareness)
It is not a “spray and pray” bot.
It waits. Then executes.
🔎 Important Reminder
15 days is not long-term data.
Market conditions change.
But based on:
• Execution behavior
• Trade logic
• Spread sensitivity
• Multi-account consistency
I am satisfied with the structure so far.
📌 What’s Next?
I will continue monitoring:
• Performance through a trending gold phase
• Behavior during high-impact news
• Drawdown stability
• 30-day and 60-day metrics
I will provide another update at the 30-day mark with deeper statistics.
Thank you again to the developer.
Looking forward to seeing how Quantum Queen performs in different market cycles.
— Rustan Mallari
Philippines 🇵🇭
Happy trading everyone 🚀📈