DNYL . SPACE

General Overview

• Symbol: XAUUSD (Gold vs USD)
• Testing Period: From May 7, 2003, to November 1, 2024, using the 30-minute timeframe (M30).
• Initial Deposit: $10,000
• Total Net Profit: $34,556.24
• Gross Profit: $116,113.56
• Gross Loss: -$81,557.32
• Profit Factor: 1.42 (indicating that the EA made $1.42 for every $1 lost).

Performance Highlights

• Total Trades: 4,699
  • Short Positions (won %): 1,441 (39.35%)
  • Long Positions (won %): 3,258 (44.23%)
• Winning Trades: 2,008 (42.73% of total trades)
• Losing Trades: 2,691 (57.27% of total trades)

Profit and Loss

• Largest Profit Trade: $760.42
• Largest Loss Trade: -$526.70
• Average Profit per Trade: $57.83
• Average Loss per Trade: -$30.31

Risk and Drawdown

• Absolute Drawdown: $2,326.98
• Maximal Drawdown: $8,777.12 (27.29%)
• Relative Drawdown: 27.29%

Consecutive Trades

• Maximum Consecutive Wins: 11 trades, totaling $741.10
• Maximum Consecutive Losses: 28 trades, totaling -$348.48
• Maximal Consecutive Profit: $1,906.70 over 5 winning trades
• Maximal Consecutive Loss: -$1,505.90 over 3 losing trades
• Average Consecutive Wins: 2
• Average Consecutive Losses: 3

Key Insights

1. Profitability: The EA has a lower total net profit of $34,556.24 compared to the previous EAs. The profit factor of 1.42 suggests that it’s profitable but less efficient in terms of profit per dollar lost.
2. Win Rate: Both short and long positions have win rates below 45%, indicating a lower success rate compared to the other EAs.
3. Risk Management: The relative drawdown is higher at 27.29%, which shows that this EA carries more risk in terms of capital drawdown. This is notably higher than in the other EAs, suggesting more significant potential losses.
4. Trade Efficiency: The average profit per trade and average loss per trade suggest smaller gains and losses per trade compared to the other EAs.
5. Consecutive Trades: The EA experiences longer losing streaks (28 consecutive losses), which could be concerning for drawdown management and recovery.

Recommendations

• Risk Adjustment: Consider adjusting the risk percentage or introducing stop-loss limits to manage and reduce the drawdown.
• Strategy Refinement: The relatively lower win rate and higher drawdown suggest the strategy may need refinement, possibly by tightening entry and exit criteria.
• Diversification: Testing on different symbols or additional timeframes could help balance the performance and reduce drawdown risks.

Here’s a humanized summary and analysis of your Expert Advisor (EA) performance based on the Strategy Tester Report for “Gatekeeper – XAUUSD M30-unlocked”:

General Overview

• Symbol: XAUUSD (Gold vs USD)
• Testing Period: From May 7, 2003, to November 1, 2024, using the 30-minute timeframe (M30).
• Initial Deposit: $10,000
• Total Net Profit: $80,201.54
• Gross Profit: $250,994.72
• Gross Loss: -$170,793.18
• Profit Factor: 1.47 (indicating that the EA made $1.47 for every $1 lost).

Performance Highlights

• Total Trades: 8,207
  • Short Positions (won %): 3,172 (45.55%)
  • Long Positions (won %): 5,035 (42.84%)
• Winning Trades: 3,602 (43.89% of total trades)
• Losing Trades: 4,605 (56.11% of total trades)

Profit and Loss

• Largest Profit Trade: $890.28
• Largest Loss Trade: -$1,053.60
• Average Profit per Trade: $69.68
• Average Loss per Trade: -$37.09

Risk and Drawdown

• Absolute Drawdown: $2,412.64 (This is the maximum decline in the account balance from the initial deposit).
• Maximal Drawdown: $5,193.10 (7.05%)
• Relative Drawdown: 24.52% ($2,465.38)

Consecutive Trades

• Maximum Consecutive Wins: 15 trades, totaling $728.30
• Maximum Consecutive Losses: 22 trades, totaling -$399.54
• Maximal Consecutive Profit: $3,665.64 over 8 winning trades
• Maximal Consecutive Loss: -$2,904.18 over 9 losing trades
• Average Consecutive Wins: 2
• Average Consecutive Losses: 3

Key Insights

1. Profitability: The EA has been profitable with a total net profit of $80,201.54 over the testing period. The profit factor of 1.47 indicates more profits than losses, but there is room for improvement.
2. Trade Distribution: With a win rate of approximately 44%, the EA is losing more trades than it wins, which is common in many trading systems that focus on larger wins than losses.
3. Risk Management: The relative drawdown of 24.52% is on the higher side, which suggests the EA takes significant risks. A lower drawdown would be preferable to reduce the risk of large losses.
4. Consistency: The maximum consecutive wins and losses indicate periods of both winning and losing streaks. The EA has a reasonable balance in terms of consecutive wins and losses, but it experiences more losing trades than winning trades in terms of total counts.
5. Money Management: The strategy uses a simple Martingale money management system, which increases trade size after losses. This can amplify both profits and losses, contributing to the observed drawdown levels.

Recommendations

• Optimization: Consider optimizing the Martingale parameters to reduce drawdown and improve overall stability.
• Risk Control: Introduce more conservative risk management rules to lower the relative drawdown.
• Win Rate: Explore ways to improve the win rate, such as refining entry and exit signals or incorporating additional filters to avoid unfavorable market conditions.
• Diversification: Test the EA on different symbols or timeframes to diversify and potentially enhance overall performance.

Here’s a detailed analysis of your new EA, Gate of Time – XAUUSD M30-unlocked:

General Overview

• Symbol: XAUUSD (Gold vs USD)
• Testing Period: From May 7, 2003, to November 1, 2024, using the 30-minute timeframe (M30).
• Initial Deposit: $10,000
• Total Net Profit: $112,007.32
• Gross Profit: $303,565.93
• Gross Loss: -$191,558.62
• Profit Factor: 1.58 (indicating that the EA made $1.58 for every $1 lost).

Performance Highlights

• Total Trades: 7,005
  • Short Positions (won %): 3,128 (55.37%)
  • Long Positions (won %): 3,877 (56.41%)
• Winning Trades: 3,919 (55.95% of total trades)
• Losing Trades: 3,086 (44.05% of total trades)

Profit and Loss

• Largest Profit Trade: $3,458.74
• Largest Loss Trade: -$1,047.55
• Average Profit per Trade: $77.46
• Average Loss per Trade: -$62.07

Risk and Drawdown

• Absolute Drawdown: $1,153.19 (This is the maximum decline in the account balance from the initial deposit).
• Maximal Drawdown: $3,284.70 (3.14%)
• Relative Drawdown: 14.80% ($2,210.33)

Consecutive Trades

• Maximum Consecutive Wins: 20 trades, totaling $3,854.22
• Maximum Consecutive Losses: 16 trades, totaling -$484.04
• Maximal Consecutive Profit: $4,232.50 over 6 winning trades
• Maximal Consecutive Loss: -$1,802.42 over 9 losing trades
• Average Consecutive Wins: 3
• Average Consecutive Losses: 3

Key Insights

1. Profitability: The EA shows a strong profitability with a total net profit of $112,007.32, which is higher than the previous EA. The profit factor of 1.58 indicates a better return for every dollar lost.
2. Win Rate: Both short and long positions have win rates above 55%, which is a significant improvement over the previous EA. This indicates better trade selection or execution.
3. Risk Management: The absolute drawdown is lower at $1,153.19, and the relative drawdown is also reduced to 14.80%, which indicates improved risk control compared to the earlier EA.
4. Trade Efficiency: The average profit per trade has increased to $77.46, while the average loss per trade has also increased to -$62.07, showing larger individual trade gains and losses but overall higher profitability.
5. Consecutive Trades: The maximum consecutive wins and losses suggest that the EA has periods of both winning and losing streaks, but the improved win rate and drawdown metrics indicate better overall stability.

Recommendations

• Further Optimization: Even though this EA has improved metrics, further fine-tuning, especially in managing larger losses, could enhance performance.
• Dynamic Adjustments: Consider incorporating dynamic stop loss and take profit settings to adapt to changing market conditions.
• Diversification: Similar to the previous EA, testing on multiple symbols or timeframes could help reduce dependency on a single market condition.