DNYL . SPACE

Here’s the detailed analysis for your new EA, Master of the Forge – XAUUSD M30-unlocked:

General Overview

• Symbol: XAUUSD (Gold vs USD)
• Testing Period: From May 7, 2003, to December 31, 2024, using the 30-minute timeframe (M30).
• Initial Deposit: $10,000
• Total Net Profit: $94,449.51
• Gross Profit: $259,425.54
• Gross Loss: -$164,976.03
• Profit Factor: 1.57 (indicating that the EA made $1.57 for every $1 lost).

Performance Highlights

• Total Trades: 7,228
  • Short Positions (won %): 3,136 (44.42%)
  • Long Positions (won %): 4,092 (47.80%)
• Winning Trades: 3,349 (46.33% of total trades)
• Losing Trades: 3,879 (53.67% of total trades)

Profit and Loss

• Largest Profit Trade: $925.30
• Largest Loss Trade: -$1,488.30
• Average Profit per Trade: $77.46
• Average Loss per Trade: -$42.53

Risk and Drawdown

• Absolute Drawdown: $1,289.06
• Maximal Drawdown: $3,793.58 (4.34%)
• Relative Drawdown: 14.63%

Consecutive Trades

• Maximum Consecutive Wins: 17 trades, totaling $2,314.62
• Maximum Consecutive Losses: 23 trades, totaling -$1,881.73
• Maximal Consecutive Profit: $4,163.84 over 9 winning trades
• Maximal Consecutive Loss: -$1,881.73 over 23 losing trades
• Average Consecutive Wins: 3
• Average Consecutive Losses: 4

Key Insights

1. Profitability: The EA shows a solid net profit of $94,449.51, with a profit factor of 1.57, indicating profitability but a slight margin over costs.
2. Win Rate: The win rates for both short and long positions are moderate, with long positions having a slightly higher success rate.
3. Risk Management: The maximal drawdown is relatively low at 4.34%, suggesting a more controlled risk profile compared to previous EAs. The relative drawdown of 14.63% indicates a reasonable balance between profit potential and risk.
4. Trade Efficiency: The average profit per trade is higher than the average loss per trade, indicating favorable trade outcomes.
5. Consecutive Trades: The EA manages to string together up to 17 consecutive winning trades, with a maximum consecutive loss streak of 23 trades, which is relatively high and suggests potential periods of volatility.

Recommendations

• Risk Fine-Tuning: The EA’s drawdown levels are manageable, but further fine-tuning the Martingale multiplier or trade lot sizes could help in mitigating the potential for long losing streaks.
• Win Rate Improvement: Strategies to slightly improve the win rate, such as refining entry criteria or using additional indicators, might enhance overall performance.
• Monitoring Long Losing Streaks: Since the EA experiences relatively long losing streaks, it may benefit from incorporating measures to halt trading temporarily or adjust strategies during such periods to minimize losses.

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.

You’re correct that having consistent global trading options (e.g., Friday Exit, session trading, etc.) across all strategies in your portfolio ensures better alignment and reduces potential conflicts. However, exits based on specific trade mechanics—like break-even (BE), trailing stops, partial close, or exit signals—are internal to each strategy and can add flexibility without necessarily breaking portfolio coherence. Here’s a detailed look:

1. Global Trading Options (Applied to All Strategies)

These options apply uniformly to every strategy in the portfolio and impact overall behavior. Examples include:

• Exit on Friday: Ensures no positions are held over the weekend.
• Session/Time Range Trading: Limits trading to specific hours or sessions, useful for aligning strategies with market activity.
• Minimum/Maximum Trades Per Day: Controls frequency to manage risk exposure.

Impact on Portfolio

• Consistency: All strategies adhere to the same rules, simplifying management.
• Risk Control: Reduces unpredictability from holding positions outside preferred trading windows or volatile times.
• Correlation Impact: Aligning global options can help avoid simultaneous trades that arise due to uncoordinated trading hours.

Best Practices

• Use Exit on Friday for all strategies to mitigate weekend gap risks.
• Set time ranges only if strategies target specific sessions (e.g., London Breakout).
• Avoid mixing strategies with conflicting global options (e.g., one using Friday Exit, another not).

2. Strategy-Specific Exit Mechanisms

These exits are unique to each strategy and influence trade-level performance. Examples:

• Break-Even (BE): Moves stop-loss to entry once a certain profit threshold is hit.
• Trailing Stop: Dynamically adjusts the stop-loss to lock in profits.
• Partial Close: Takes partial profit at predefined levels.
• Exit Signal: Closes the trade based on a reversal or custom indicator signal.

Impact on Portfolio

• Enhances Strategy Independence: Each strategy operates based on its internal logic, improving diversification.
• Risk Management: Advanced exits like BE and trailing stops reduce drawdowns and lock in gains.
• Potential Drawback: If exits are overly aggressive or poorly optimized, they might reduce the efficiency of profitable strategies.

Correlation Impact

Internal exits generally have minimal correlation impact unless:

1. Strategies rely on identical exit logic and triggers (e.g., all use the same trailing stop settings).
2. Exit signals consistently align, causing simultaneous closures across multiple strategies.

3. Combining Global Options with Internal Exits

Scenario 1: Unified Global Exit Rules

• Example: All strategies use Friday Exit, and trading is limited to 8 AM–4 PM.
• Internal Exits Allowed: BE, trailing stops, and exit signals are tuned per strategy.
• Result: Balanced portfolio with consistent risk control and flexibility in individual strategies.

Scenario 2: Diverse Internal Exits

• Example: Some strategies use aggressive trailing stops, while others rely on exit signals.
• Result: Potentially more diversified outcomes, but monitor for conflicting behaviors (e.g., strategies exiting simultaneously due to correlated conditions).

4. Recommendations

1. Global Options:
   • Use the same trading options (e.g., Friday Exit, session limits) across all strategies in the portfolio for consistency.
   • Align global options with your trading goals (e.g., avoiding weekend gaps or managing session-specific trades).
2. Internal Exits:
   • Optimize exits like BE, trailing stops, and partial closes per strategy, as they are independent of portfolio-wide options.
   • Avoid overly aggressive exits unless they align with the strategy’s objective (e.g., scalping).
3. Correlation Check:
   • Run correlation analysis after applying global options and internal exits to ensure portfolio diversification.
   • If multiple strategies show high correlation, consider adjusting exits or reducing overlap in their instruments/timeframes.

Final Thought

Global trading options ensure portfolio coherence, while internal exits provide strategy-specific flexibility. As long as global rules are harmonized and internal exits are carefully optimized, they won’t negatively impact the portfolio’s overall performance. Would you like a deeper dive into optimizing these exit strategies or analyzing correlations?