Account Type Performance

Executive Summary

Account Type Performance is an evaluation of a trading system's performance based on the account type used. Each account type has different characteristics—from execution conditions, spreads, leverage, to commission structures—that can impact overall trading results.

Account Type Performance is an evaluation of a trading system's performance based on the account type used. Each account type has different characteristics—from execution conditions, spreads, leverage, to commission structures—that can impact overall trading results. This analysis aims to provide transparency and a realistic picture of how the system performs in various trading environments.

1️⃣ Real Account Performance:

Real Account Performance reflects the system's performance under real market conditions with real funds. Factors assessed include:
• Order execution stability
• Actual slippage and spread
• Profit consistency in live market conditions
• Effect of volatility on results

Data from live accounts provides tangible validation of the system's effectiveness and demonstrates how the algorithm adapts to real market dynamics.

2️⃣Demo Account Evaluation

Demo accounts are used for simulation without financial risk. Evaluation on a demo account is useful for:
• Initial system testing
• Validation of entry and exit logic
• Stability analysis without emotional pressure

Although demo conditions often approximate real market conditions, differences in execution and liquidity must still be taken into account when interpreting results.

3️⃣Backtest Performance

Backtesting is a system test using historical data. The goal is to see how the system would have performed if applied to previous periods. Backtest analysis includes:
• Historical consistency
• Resilience to various market phases
• Long-term drawdown stability
However, it is important to understand that backtesting indicates potential, not a guarantee of future results.

4️⃣Forward Test Analysis

Forward testing is conducted in the current period after the system is activated. This serves as a bridge between backtesting and real-world performance. Forward test evaluation helps assess:
• System adaptability to current market conditions
• Consistency of results in the actual period
• Parameter validity and optimization
Forward testing provides an objective picture before the system is deployed on a larger scale.

5️⃣Performance Across Different Capital Sizes

Account types are also often differentiated by capital size. This evaluation looks at:
• System scalability
• Consistency of risk management across different capital levels
• Growth efficiency across small and large accounts
A well-designed system will demonstrate stability across different capital sizes.

Conclusion

Account Type Performance provides comprehensive transparency into how the system performs across various account conditions and environments. This evaluation ensures that
• Performance is not dependent on a single account type
• The system is able to adapt to live market conditions
• Growth and risk remain under control across various scenarios
With structured cross-account analysis, the system demonstrates credibility and readiness for long-term professional use.

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