A Reflection on Cash Administration in EA Portfolio Evaluation
EA : Zyra
Throughout my current checks on Zyra EA, I aimed to delve deeper into the evaluation of my methods on 7 main foreign money pairs utilizing Quant Analyzer. Right here is the method I initially adopted, together with the corrections I needed to make upon reflection.
Step 1: Particular person Simulations for Every Foreign money Pair
I carried out simulations for the next foreign money pairs:
EURUSD, AUDUSD, GBPUSD, USDCHF, USDCAD, USDJPY, and NZDUSD, all on the H1 timeframe between 2005 and 2025, with an preliminary capital of $5,000. The parameters used for every simulation had been as follows:
- Variety of EA in identical time = 7
- Danger P.c = 50%
This represented a threat of roughly 0.714% per commerce, similar to the distribution of threat throughout 7 methods.
Step 2: Making a Portfolio in Quant Analyzer
As soon as the 7 particular person simulations had been accomplished, I used Quant Analyzer to create a mixed portfolio from the outcomes. I then immediately extracted the portfolio’s displayed efficiency to supply my preliminary screenshots.
Nonetheless, upon additional reflection, one thing didn’t appear proper. The outcomes appeared incorrect, and an necessary query arose: was international cash administration correctly utilized on the portfolio degree?
Step 3: Figuring out the Error
Upon deeper testing, I spotted there was a methodological error:
The portfolio was displaying outcomes primarily based on the preliminary lot sizes from every particular person backtest. Nonetheless, in an actual situation, every commerce within the portfolio ought to recalculate the lot dimension primarily based on the evolving international capital to replicate correct cash administration.
Step 4: Correction with Quant Analyzer
To appropriate this, I used the Cash Administration Simulation software in Quant Analyzer. Right here’s what this step achieved:
- Recalculated every commerce within the portfolio, dynamically adjusting the lot sizes primarily based on the worldwide capital.
- Utilized the precise threat of 0.714% per commerce to all transactions, accounting for capital adjustments after every commerce.
The corrected outcome was very completely different from the preliminary evaluation. This demonstrates how essential international cash administration is when evaluating an EA’s efficiency.
Earlier than
After
The entire revenue shifts from $87,000 to $12,000,000.
Conclusion
This expertise highlights the significance of verifying every step of research, particularly when simulating advanced portfolios with a number of methods. An error within the utility of cash administration can distort conclusions and result in suboptimal choices.
In the event you’d wish to delve deeper into this methodology or have questions on utilizing Quant Analyzer for cash administration, be happy to share your experiences within the feedback!
