Backtest Result Explanation

In this backtest image, both Balance and Equity curves show consistent and stable growth throughout the testing period, reflecting the system’s ability to accumulate profits under normal market conditions.

The sharp drawdown at the very end of the graph is not a real trading loss.
It occurs due to:

The end of the backtesting period (End of Testing)

When the backtest finishes, all remaining open positions are force-closed at the last available price, which causes:

• Multiple positions to be closed simultaneously

• Spread and execution costs to be applied at once

• A sudden and artificial drop in Balance and Equity

Important Notes

• This drawdown does not represent actual trading behavior

• It is not caused by a strategy failure

• It is not a drawdown that occurred during live trading conditions

How to Interpret the Result

• Focus on the performance before the final bar

• Observe the smooth and steady growth of Balance and Equity

• The system is designed for continuous position management in live markets, not for forced liquidation at data boundaries

Conclusion
This backtest demonstrates the strategy’s real trading performance during the test period.
The final sharp drop is a technical artifact of backtesting and should be excluded from performance evaluation.

คำอธิบายกราฟผลการทดสอบ (Backtest)

จากภาพผลการทดสอบจะเห็นว่า เส้น Balance และ Equity เติบโตอย่างต่อเนื่องตลอดช่วงการทดสอบ
สะท้อนถึงการทำกำไรแบบสะสมของระบบในสภาวะตลาดปกติ

จุดที่เกิดการขาดทุนยาวและกราฟดิ่งลงอย่างรวดเร็วในช่วงท้าย
ไม่ได้เกิดจากการขาดทุนจริงของระบบ แต่เกิดจาก:

การสิ้นสุดช่วงการทดสอบ (End of Testing)

เมื่อ Backtest จบลง ระบบจะถูกบังคับปิดออเดอร์ที่ยังค้างอยู่ทั้งหมดในราคาสุดท้ายของข้อมูล ทำให้เกิด:

• การปิดออเดอร์จำนวนมากพร้อมกัน

• ค่า Spread และ Slippage ถูกนำมาคิดรวม

• Equity และ Balance แสดงการเปลี่ยนแปลงรุนแรงในแท่งสุดท้าย

ข้อสำคัญ

• จุดขาดทุนดังกล่าว ไม่สะท้อนพฤติกรรมการเทรดจริง

• ไม่ได้เกิดจากระบบเปิดไม้ผิดพลาด

• ไม่ได้เป็น Drawdown ที่เกิดระหว่างการเทรดปกติ

สิ่งที่ควรพิจารณาในการดูผล

• ให้พิจารณา ผลการเติบโตของกราฟก่อนแท่งสุดท้าย

• ดูความสม่ำเสมอของ Balance และ Equity ระหว่างการทดสอบ

• ระบบถูกออกแบบมาให้บริหารออเดอร์อย่างต่อเนื่องในตลาดจริง ไม่ใช่เพื่อปิดทุกออเดอร์พร้อมกันเมื่อข้อมูลหมด

สรุป
กราฟนี้แสดงให้เห็นถึงประสิทธิภาพของระบบในช่วงการเทรดจริง
ส่วนการดิ่งลงในตอนท้ายเป็นเพียงผลทางเทคนิคของ Backtest เท่านั้น

Dear Traders,

I am excited to announce a significant update for Grid Balance Pro ! Based on market analysis and your feedback, I have upgraded the system to be much safer and more efficient for XAUUSD trading.

🚀 What’s New? ✅ Trend Filter (MA): The EA now identifies the main trend before opening the first trade. No more blind entries! ✅ Volatility Protection: Automatically pauses DCA orders during extreme market spikes to prevent bad positioning. ✅ Smart USD News Filter: Specifically optimized for Gold. It filters only High-Impact USD news events (NFP, FOMC, CPI) to keep your account safe. ✅ Enhanced Cut Loss Logic: Improved mechanism to ensure complete capital preservation when the stop loss is hit.

🙏 Support My Work: I am committed to providing free updates to improve your trading results. If you appreciate this update, please take a moment to leave a 5-star rating ⭐⭐⭐⭐⭐ and a short review.

Your feedback encourages me to keep improving the EA. Also, please click "Follow" on my profile to get notified about future tools and updates!

Happy Trading, aNa Dev

January 2026 Backtest Summary

The system was tested on GOLD with an initial deposit of 1,000 USD.

During January 2026, the EA showed a stable equity growth pattern with controlled risk management.
However, on January 29–30, the gold market experienced extreme volatility and abnormal price movements, which caused a temporary drawdown. This event was used to further improve the risk protection system in the upcoming update.

This backtest demonstrates how the system behaves under both normal and extreme market conditions.
Please note that backtest results do not guarantee future performance. Real trading results may vary depending on market conditions, broker execution, and risk settings.

Thank you for your interest and support.

Best regards,
aNa

Strategy Performance Report and Risk Narrative – January 2026

Executive Summary
The strategy was evaluated using historical data with an initial capital of 1,000 USD on GOLD (M15).
During the test period, the system demonstrated a consistent equity growth pattern under normal market conditions. A volatility-driven drawdown occurred during the late January market shock, which served as a real-world stress test scenario.

1. Strategy Overview
The system is designed as a systematic trading algorithm with adaptive position scaling and multi-layer risk governance.
Core objectives:

• Capital growth with controlled risk exposure

• Robust performance across varying volatility regimes

• Automated risk shutdown mechanisms under adverse conditions

2. Backtest Environment

• Instrument: GOLD (XAUUSD)

• Timeframe: M15

• Initial Equity: 1,000 USD

• Execution Model: Simulated broker environment

• Test Period: January 2026

3. Performance Highlights
Throughout most of January, the strategy produced a stable equity curve with incremental gains.
On January 29–30, the gold market experienced an extreme volatility spike, leading to a temporary drawdown. This event reflects tail-risk market behavior rather than standard market conditions.

This stress event was used to validate system robustness and identify further risk governance improvements.

4. Risk Analysis and Stress Scenario
The late-January volatility event represents a high-impact, low-frequency market regime.
The observed drawdown illustrates how the system behaves during market shocks, which is critical for realistic risk assessment.

Additional risk controls are currently being enhanced, including:

• Daily drawdown-based trading halt

• Dynamic exposure reduction during volatility expansion

• Session-based risk throttling

• Portfolio-level equity protection logic

5. Forward Development Roadmap
Planned upgrades focus on institutional-grade risk governance and execution stability:

• Multi-timeframe trend regime detection

• Dynamic basket exposure decay

• Enhanced time synchronization for VPS and broker environments

• Performance and stability optimization

Disclaimer
Backtesting is a historical simulation and does not guarantee future trading performance.
Real trading results may vary due to market conditions, execution latency, broker differences, and risk configuration.

Conclusion
This report demonstrates that the strategy maintains controlled growth during standard market conditions and provides transparent behavior under stress scenarios. Ongoing development is focused on further reducing tail-risk exposure and improving capital preservation.