This .set configuration is optimized for H1 trading, combining trend filtering, volatility analysis, statistical deviation detection, and strict risk management to capture short-term market opportunities while controlling downside risk.

1. Session Control

The EA operates 24 hours per day (server time), allowing trading across all major sessions: Asia, London, and New York. This is suitable for H1 strategies that rely on continuous intraday liquidity.

2. Quantitative Core

The strategy uses a multi-indicator quantitative filter:

• EMA(100) – Defines the overall trend direction.

• ADX(14) ≥ 20 – Ensures trades occur only when sufficient trend strength exists.

• Bollinger Bands (20) – Detect volatility expansion and price extremes.

• Z-Score ≥ ±1.0 – Identifies statistically significant deviations from the mean.

• RSI(14) – Confirms short-term momentum and prevents entries during weak signals.

Together, these filters reduce market noise common on the H1 timeframe and improve signal quality.

3. Risk & Execution

Risk management is ATR-based and equity-controlled:

• Risk per trade: 5% of account equity.

• Stop Loss: 3.5 × ATR (volatility-adjusted).

• Take Profit: 10 × ATR (~1:2.8 risk-reward).

• Spread Filter: Trades only if spread ≤ 50 points.

• Daily Profit Limit: +30% equity stops trading for the day.

• Daily Loss Limit: −20% equity stops trading to protect capital.

• Max Trades: 4 trades per day to prevent overtrading.

• Magic Number: 888111 for trade identification.

Strategy Overview

This configuration forms a hybrid intraday trading system that combines:

• Trend detection (EMA + ADX)

• Volatility analysis (Bollinger Bands)

• Statistical deviation signals (Z-Score)

• Momentum confirmation (RSI)

with ATR-based dynamic risk management, making it suitable for high-frequency H1 execution environments.

## Technical Result Write-Up

The strategy demonstrates aggressive growth characteristics over a ~14-month period (Jan 2025 – March 2026).

• Profitability: The system turned a $1,000 initial deposit into a $33,234.64 net profit. A Profit Factor of 2.50 is very strong, indicating that for every dollar lost, $2.50 was earned.

• Trade Dynamics:

  • Win Rate: 45.21% (Typical for trend-following systems).

  • Risk/Reward Ratio: Excellent. The average win ($1,679) is roughly 3x larger than the average loss ($553).

  • Recovery Factor: 2.05 (Shows a solid ability to bounce back from drawdowns).

• Drawdown: The Maximal Equity Drawdown reached $16,175.11 (33.31%). While the percentage is manageable for a high-growth bot, the monetary value of the drawdown exceeds the starting capital significantly, highlighting the compounding risk.

• Trade Bias: There is a clear Long (Buy) bias. Buy trades had a 53.85% success rate, whereas Short (Sell) trades only succeeded 23.81% of the time.

## Short Feedback

The Good: This is a high-alpha "runner" strategy. It doesn't need to be right most of the time to make money because it lets winners run and cuts losses early. The 100% History Quality suggests the data is reliable and the results aren't just a product of "backtest gaps."

The Bad: The Short Trade performance is weak. The strategy struggled significantly during bearish gold moves. Additionally, the 10% Risk per trade setting is quite high; a string of 4-5 losses (which is statistically likely given the 45% win rate) could lead to a massive equity swing.

The Verdict: It’s a powerful trend-follower that thrives in the current high-volatility gold market. However, it’s currently "over-leveraged" for a standard conservative portfolio.