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many1107  
hi I've just bought gold shine. Can you tell me what risk settings you used for backtest 2024?
Michael Prescott Burney  
many1107 #:
hi I've just bought gold shine. Can you tell me what risk settings you used for backtest 2024?

I used default parameters for that backtest the system is pre optimized for 3 digit xauusd symbols i have attached a current year set file for you and a current month set file for you. i am working on a 3 year set file and will post it here for you when i am finished with it! If you have any questions about the system or need anything at all please dont hesitate to contact me here in the comments or PM! :D

Michael Prescott Burney  
Michael Prescott Burney #:

I used default parameters for that backtest the system is pre optimized for 3 digit xauusd symbols i have attached a current year set file for you and a current month set file for you. i am working on a 3 year set file and will post it here for you when i am finished with it! If you have any questions about the system or need anything at all please dont hesitate to contact me here in the comments or PM! :D    P.S - RISK PERCENTAGE METHOD THE INPUT IS SENSITIVE.         

I WOULD USE 0.1 - 0.5 IN THE ENTRY AMOUNT AND SEE WHAT WORKS FOR YOUR ACCOUNT SIZE. Due to the large amount of strategies the calculation will vary a small amount for each strategy :D

  RISK PERCENTAGE METHOD TIP - THE INPUT IS SENSITIVE, I WOULD USE 0.1 - 0.5 IN THE ENTRY AMOUNT AND SEE WHAT WORKS FOR YOUR ACCOUNT SIZE. Due to the large amount of strategies the calculation will vary a small amount for each strategy :D

THE SMALLER THE ACCOUNT THE LARGER THE ENTRY AMOUNT SHOULD BE. (if using a 500 dollar account try 1 - 5 for the entry amount size)

Michael Prescott Burney  
Michael Prescott Burney #:

I used default parameters for that backtest the system is pre optimized for 3 digit xauusd symbols i have attached a current year set file for you and a current month set file for you. i am working on a 3 year set file and will post it here for you when i am finished with it! If you have any questions about the system or need anything at all please dont hesitate to contact me here in the comments or PM! :D

The New Update as of 7.14.24 requires no set files for operation

i recommend running the system using default values 

use fixed lot method for super smooth operation

Jenny LK  
Could you add more activations for this ea? 5 activations seems too small relative to other eas. 
Michael Prescott Burney  
Jenny LK #:
Could you add more activations for this ea? 5 activations seems too small relative to other eas. 

yes i will adjust that right away! 

Jenny LK  
Michael Prescott Burney #:

yes i will adjust that right away! 

Thank you for this kind service!!
Jenny LK  
Hi I have a question. Is this EA optimized automatically without any manual intervention?
Michael Prescott Burney  
Jenny LK #:
Hi I have a question. Is this EA optimized automatically without any manual intervention?

very good question for the comments section :)

here is a short breakdown of the WFO and what it does:

Walk Forward Optimization (WFO) Process within the EA

The walk forward optimization (WFO) embedded within the EA is designed to handle the strategy indicator parameters efficiently and dynamically. Unlike the traditional genetic algorithms employed by standard testers, our WFO iterates through each strategy sequentially. This approach minimizes CPU usage and maintains full EA functionality without slowing down the system.

Operational Details:

  1. Historical Data Analysis: The WFO utilizes historical data from the last three months (90 days) from the current date. This period ensures that the EA is continuously adapting to recent market conditions, keeping it at peak performance.
  2. Dynamic Parameter Adjustment: As the EA runs, it dynamically adjusts the internal signal parameters of each strategy based on the latest data. This allows the EA to adapt to evolving market conditions over time.
  3. Internal Parameter Optimization: It's important to note that WFO operates solely on internal parameters. It does not modify any external parameters found in the settings menu. This internal focus ensures the EA's core strategies are optimized for performance.
  4. Sequential Processing: To save CPU resources and avoid system slowdown, the WFO processes each strategy one at a time. This methodical approach ensures that the EA remains efficient and responsive.
  5. Continuous Adaptation: The ongoing adjustment of strategy parameters means that while the EA may not be perfectly optimized at any single moment, it is continuously improving. This gradual adaptation ensures long-term benefits to the system's performance.

In the coming days, I will provide a comprehensive report detailing the WFO's functionality within the EA. This report will offer a clear understanding of how WFO enhances the EA's performance over time, ensuring it remains robust and adaptive to market changes in much greater detail than this :)

Jenny LK  
Michael Prescott Burney #:

very good question for the comments section :)

here is a short breakdown of the WFO and what it does:

Walk Forward Optimization (WFO) Process within the EA

The walk forward optimization (WFO) embedded within the EA is designed to handle the strategy indicator parameters efficiently and dynamically. Unlike the traditional genetic algorithms employed by standard testers, our WFO iterates through each strategy sequentially. This approach minimizes CPU usage and maintains full EA functionality without slowing down the system.

Operational Details:

  1. Historical Data Analysis: The WFO utilizes historical data from the last three months (90 days) from the current date. This period ensures that the EA is continuously adapting to recent market conditions, keeping it at peak performance.
  2. Dynamic Parameter Adjustment: As the EA runs, it dynamically adjusts the internal signal parameters of each strategy based on the latest data. This allows the EA to adapt to evolving market conditions over time.
  3. Internal Parameter Optimization: It's important to note that WFO operates solely on internal parameters. It does not modify any external parameters found in the settings menu. This internal focus ensures the EA's core strategies are optimized for performance.
  4. Sequential Processing: To save CPU resources and avoid system slowdown, the WFO processes each strategy one at a time. This methodical approach ensures that the EA remains efficient and responsive.
  5. Continuous Adaptation: The ongoing adjustment of strategy parameters means that while the EA may not be perfectly optimized at any single moment, it is continuously improving. This gradual adaptation ensures long-term benefits to the system's performance.

In the coming days, I will provide a comprehensive report detailing the WFO's functionality within the EA. This report will offer a clear understanding of how WFO enhances the EA's performance over time, ensuring it remains robust and adaptive to market changes in much greater detail than this :)

Thanks for the clarification and it's very interesting!

Jenny LK  


But the optimization shows forward optimization unlike your message.



Could you check this error, please?

guru78  

HI , I purchased Sheines FX. I wrote to you privately

MrR1 Yellow  
The winning rate is not ideal. When will it be updated?
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