Tesla Scalper V1 MT5

• Walk Forward Optimization & Walk Forward Matrix: Ensures the strategy is validated on out-of-sample data, proving its ability to adapt to future market conditions and avoid overfitting.

• Monte Carlo Simulations: Tests the strategy across thousands of randomized market scenarios to evaluate its resilience to uncertainty and adverse conditions.

• Sequential Testing: Assesses performance consistency over time, ensuring the strategy remains reliable across different market phases.

• System Permutation Stress Testing: Evaluates the strategy under various parameter combinations to confirm it isn’t overly sensitive to specific settings.

Risk Management:

• No Overnight Exposure: All positions are closed before market close to avoid pre-market gaps, reducing unexpected risks.

• No High-Risk Strategies: The EA avoids martingale, grid trading, and other high-risk methods, ensuring a disciplined and sustainable approach.

• Stop Loss & Trailing Stop: While these tools protect against excessive losses, they do not cap profits. This allows winning trades to run and maximize gains during strong market movements.

Transparency & Honesty:

• No back-test manipulation or dishonest marketing claims. Results are based on rigorous testing and realistic assumptions.

Symbol & Timeframe:

• Optimized for TSLA (Tesla) on the M15 (15-minute) timeframe, a highly volatile asset that benefits from the strategy’s focus on volatility-based entries.

Stress-Tested Adaptability:

• Extensive stress-testing demonstrates the strategy’s ability to re-optimize successfully for future market data, ensuring it remains effective as market conditions evolve.

Why Stress-Testing Matters:

Avoiding EAs that haven’t been stress-tested is crucial because:

• Overfitting Risk: Without stress-testing, there’s no way to prove the EA isn’t over-optimized for historical data, which often leads to failure in live trading.

• Future Adaptability: Stress-testing ensures the EA can adapt to changing market conditions and remain effective over time.

• Spread Sensitivity: A robust EA should perform consistently across different spread levels, which is confirmed through rigorous testing.

• Re-Optimization Potential: Stress-tested EAs can be successfully re-optimized for future data, ensuring long-term viability.

Trading Strategy Overview:

The strategy is designed to capitalize on volatile market conditions:

• Volatility-Based Entries: Stop orders are set to expire quickly, ensuring trades are only entered during periods of high volatility.

• Indicator-Driven Decisions:

  • One indicator determines when to open a stop order.

  • Another indicator level defines where the stop order is placed, ensuring precise entry points.

• Profit Potential: The strategy uses only a stop loss and trailing stop for risk management, which protects against downside risk without capping profits. This allows winning trades to run and capture significant gains during strong trends, maximizing profitability.

This approach minimizes low-probability trades and focuses on high-impact market movements while ensuring risk is controlled.

Realistic Expectations & Recommendations:

• Ideal for Prop Firms: This EA is particularly well-suited for use on prop firm accounts, where the primary goal is to meet consistent profit targets while adhering to strict risk management rules. Its disciplined approach aligns perfectly with the requirements of funded trading programs.

• Avoid Unrealistic Expectations: While this EA is robust and reliable, it’s important to have realistic expectations. Expecting to make millions from a very small account balance is unlikely and often a dream or pitfall promoted by unrealistic marketing. Trading is a marathon, not a sprint. Consistent, incremental growth over time is the key to long-term success.

• Focus on Sustainability: The goal of this EA is to provide sustainable and consistent returns, not overnight riches. By focusing on risk management and adaptability, it helps traders build a solid foundation for long-term profitability.

• Proven Track Record: My personal account, running a previous version of this EA, has achieved $30K in Darwinex Zero funding. This demonstrates the strategy’s ability to perform consistently in live trading environments, even under the scrutiny of platforms like Darwinex, which prioritize risk-adjusted returns and transparency.

• Compatibility with Other Prop Firms: While this EA has proven successful on Darwinex Zero, it can also be used on other prop firms such as FTMO or The5%ers. However, it’s important to note that using it on Darwinex Zero alongside my account would create correlation issues, preventing allocation of additional funds. For Darwinex, I recommend using this EA on a separate account or exploring other prop firms to avoid conflicts.

Setup Recommendations:

• Timeframe: M15 (15-minute charts).

• Broker Requirements:

  • Use a broker with lower spreads or an ECN account to minimize trading costs.

  • Brokers aligned with the EST+7/GMT-3 time zone in summer and GMT-2 in winter are recommended for accurate back-testing and live trading alignment. While using different time zones won’t typically result in a significant performance difference, it’s crucial to ensure the exit time is set to 30 minutes before market close. Additionally, set the "SingleTimeRangeFrom" value to market open and the second TimeRange value to 45 minutes before market close. These are the time-based values that need to be adjusted.

• Back-Testing: Use TSLA historical data from brokers in the recommended time zones to ensure consistency between back-testing and live trading results.

Why This EA Stands Out:

This EA combines advanced testing methodologies, disciplined risk management, and a volatility-focused strategy to deliver a transparent and reliable trading solution. By avoiding overfitting and high-risk practices, it ensures long-term adaptability and consistency. The use of stop loss and trailing stop protects against losses while allowing profits to grow uncapped, making it a powerful tool for traders seeking sustainable performance and maximum profit potential.

Only one of the EA's stress-test results in the portfolio are displayed in the screen-shot section because of image upload limitations. If desired, contact me to receive all the stress test results.

Whether you’re trading on a personal account, aiming to pass prop firm challenges, or seeking to replicate the success of my $30K Darwinex Zero-funded account, this EA provides a realistic and disciplined approach to achieving consistent results. Remember, trading success is about patience, discipline, and managing expectations—not chasing unrealistic dreams. For Darwinex users, consider using this EA on other platforms to avoid correlation issues and maximize your opportunities.