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I understand the challenges that most Expert Advisors (EAs) face in today's market.
Many EAs fail by relying on strategies that exploit temporary advantages or fall into the trap of over-optimization.
My perspective focuses on an adaptive approach, rather than a predictive one, that is prepared to confront constant changes in the market.
I emphasize the importance of intelligent diversification and risk management, using measures to protect accounts at all times.
I firmly believe that success in algorithmic trading lies in a dynamic and adaptable approach, capable of overcoming typical market challenges
🔵 TELEGRAM: https://t.me/+Jwdm825813I1Nzk0
🔴 YOUTUBE: https://bit.ly/3QXYBuy
📈 ALL OUR SIGNALS: https://www.mql5.com/en/signals/author/envex
🤖 ALL OUR EXPERT ADVISORS: https://www.mql5.com/en/users/envex/seller
Many EAs fail by relying on strategies that exploit temporary advantages or fall into the trap of over-optimization.
My perspective focuses on an adaptive approach, rather than a predictive one, that is prepared to confront constant changes in the market.
I emphasize the importance of intelligent diversification and risk management, using measures to protect accounts at all times.
I firmly believe that success in algorithmic trading lies in a dynamic and adaptable approach, capable of overcoming typical market challenges
🔵 TELEGRAM: https://t.me/+Jwdm825813I1Nzk0
🔴 YOUTUBE: https://bit.ly/3QXYBuy
📈 ALL OUR SIGNALS: https://www.mql5.com/en/signals/author/envex
🤖 ALL OUR EXPERT ADVISORS: https://www.mql5.com/en/users/envex/seller
Enrique Enguix
Have you also felt like you were being cheated when buying an EA?
⚠️Even if a (bad) developer does not have that intention, it is common and has an explanation.
Most expert advisors are built on temporary statistical advantages that eventually get exhausted.
The problem of over-optimization
Many developers fall into the trap of tuning their EAs to achieve perfect results in the past, without understanding that this perfection will not work in the future market.
Furthermore, everything is built to make it difficult for retailers to make money: spreads, swaps, commissions, delays, etc.
You'll be surprised to know that those few who make money from trading even pay more than 50% of their profits in one way or another.
The importance of diversification
And with how difficult it is to profit, most traders do not know how to diversify correctly, either because they do not understand the concept or do not have the necessary tools to do so.
If you use the same EA on EUR/USD and GBP/USD (which are strongly correlated), when EUR/USD trades lose, so will GBP/USD trades.
And what about EAs that compensate losing trades with winning trades?
Developers strive to create an EA that never fails in tests. But the market is never the same, so if the EA fails, this technique will wipe out months of profits in one trade.
Therefore. We need an EA that:
✅Does not exploit a temporary statistical advantage but can read the market and adapt.
✅It does not predict the market but follows it wherever it goes.
✅It does not work in correlated markets, so that when trades are lost in one market, they are not lost in the rest.
✅Allows for failure and assumes losses from time to time.
✅It is not optimized to have a perfect curve in backtests. Because a perfect curve only tells us that the EA has been over-optimized.
Do you want to know more?: https://www.mql5.com/en/market/product/90877
⚠️Even if a (bad) developer does not have that intention, it is common and has an explanation.
Most expert advisors are built on temporary statistical advantages that eventually get exhausted.
The problem of over-optimization
Many developers fall into the trap of tuning their EAs to achieve perfect results in the past, without understanding that this perfection will not work in the future market.
Furthermore, everything is built to make it difficult for retailers to make money: spreads, swaps, commissions, delays, etc.
You'll be surprised to know that those few who make money from trading even pay more than 50% of their profits in one way or another.
The importance of diversification
And with how difficult it is to profit, most traders do not know how to diversify correctly, either because they do not understand the concept or do not have the necessary tools to do so.
If you use the same EA on EUR/USD and GBP/USD (which are strongly correlated), when EUR/USD trades lose, so will GBP/USD trades.
And what about EAs that compensate losing trades with winning trades?
Developers strive to create an EA that never fails in tests. But the market is never the same, so if the EA fails, this technique will wipe out months of profits in one trade.
Therefore. We need an EA that:
✅Does not exploit a temporary statistical advantage but can read the market and adapt.
✅It does not predict the market but follows it wherever it goes.
✅It does not work in correlated markets, so that when trades are lost in one market, they are not lost in the rest.
✅Allows for failure and assumes losses from time to time.
✅It is not optimized to have a perfect curve in backtests. Because a perfect curve only tells us that the EA has been over-optimized.
Do you want to know more?: https://www.mql5.com/en/market/product/90877
· 6
Enrique Enguix
The portfolio is finally ready, and it is presented as follows. Even people who have seen this image are surprised to realize that Nexus is not a single system, but multiple systems in itself. The way it is configured determines a complete diversification of the portfolio, despite the implicit correlation among certain symbols. However, we have worked to achieve complete decorrelation among them. I think you can immediately see the nature of our work with the Sets Privilege. I hope to be able to publish them this week.
· 3
Enrique Enguix
Comparison of Candle Close Prices Between Brokers X and Y: Impact on EA Backtest Results
In the world of algorithmic trading, accuracy in candle close prices is essential for obtaining reliable results in Expert Advisor (EA) backtests. In this study, we meticulously compared candle close prices between Brokers X and Y, and analyzed how these differences affect EA backtest results.
Study Objectives:
Our main objective was to evaluate discrepancies in candle close prices between these two brokers and understand how these differences influence EA backtest results under identical strategy conditions.
Methodology:
Using specialized tools, we analyzed and compared candle close prices for various currency pairs over a significant period of trading.
Results:
Notable differences were observed in candle close prices between Brokers X and Y, even under similar market conditions. These discrepancies directly impacted EA backtest results, generating significant variations in final outcomes.
Analysis and Interpretation:
It is important to note that these differences in candle close prices between brokers can influence the profitability and effectiveness of automated strategies. While these variations may pose challenges, they can also offer opportunities to optimize strategies and adapt to different market conditions.
Conclusions:
When conducting EA backtests, it is crucial to consider and adjust parameters based on differences in candle close prices between brokers. We recommend conducting comprehensive tests across different brokers to better understand the real impact of these discrepancies on our automated trading strategies.
Share your experiences and observations on this topic in the comments to enrich the discussion!
Best of luck in your analysis and trading operations!
In the world of algorithmic trading, accuracy in candle close prices is essential for obtaining reliable results in Expert Advisor (EA) backtests. In this study, we meticulously compared candle close prices between Brokers X and Y, and analyzed how these differences affect EA backtest results.
Study Objectives:
Our main objective was to evaluate discrepancies in candle close prices between these two brokers and understand how these differences influence EA backtest results under identical strategy conditions.
Methodology:
Using specialized tools, we analyzed and compared candle close prices for various currency pairs over a significant period of trading.
Results:
Notable differences were observed in candle close prices between Brokers X and Y, even under similar market conditions. These discrepancies directly impacted EA backtest results, generating significant variations in final outcomes.
Analysis and Interpretation:
It is important to note that these differences in candle close prices between brokers can influence the profitability and effectiveness of automated strategies. While these variations may pose challenges, they can also offer opportunities to optimize strategies and adapt to different market conditions.
Conclusions:
When conducting EA backtests, it is crucial to consider and adjust parameters based on differences in candle close prices between brokers. We recommend conducting comprehensive tests across different brokers to better understand the real impact of these discrepancies on our automated trading strategies.
Share your experiences and observations on this topic in the comments to enrich the discussion!
Best of luck in your analysis and trading operations!
· 3
Enrique Enguix
This is what most marketers usually do, and this is why their results look so attractive: they optimize over an extended period, generating many little green dots (as shown in the first image), looking for the perfection in excess and focusing on generating many sales.
On the other hand, our approach is different: we also optimize over an extended period, but then validate out of sample to verify the real effectiveness of the strategy, which results in more robust sets (although not as visually striking, second image ), generating fewer sales but offering results that are more in line with reality.
Our goal is to attract traders who understand that the important thing is not superficial beauty, but obtaining results that reflect with a higher degree of probability the future conditions of the market.
On the other hand, our approach is different: we also optimize over an extended period, but then validate out of sample to verify the real effectiveness of the strategy, which results in more robust sets (although not as visually striking, second image ), generating fewer sales but offering results that are more in line with reality.
Our goal is to attract traders who understand that the important thing is not superficial beauty, but obtaining results that reflect with a higher degree of probability the future conditions of the market.
· 5
Enrique Enguix
I have completed the third phase of development for my Metatrader 5 portfolio!
For over 3 years, my Expert Advisor has shown solid results, but I've always been concerned about the risk associated with its strategy.
So, from a new perspective, I've created more robust strategies and less over-optimized sets. I've also developed my own formulation to evaluate results, considering 10 key parameters such as Sharpe Ratio, number of trades, and Drawdown.
The incorporation of Software #QuantAnalyzer and its Portfolio Master has been crucial, allowing me to evaluate results from different angles, including asset decorrelation.
Moreover, the Monte Carlo evaluation has confirmed the strength of my new portfolio.
I'll soon begin testing this third phase with my own capital!
For over 3 years, my Expert Advisor has shown solid results, but I've always been concerned about the risk associated with its strategy.
So, from a new perspective, I've created more robust strategies and less over-optimized sets. I've also developed my own formulation to evaluate results, considering 10 key parameters such as Sharpe Ratio, number of trades, and Drawdown.
The incorporation of Software #QuantAnalyzer and its Portfolio Master has been crucial, allowing me to evaluate results from different angles, including asset decorrelation.
Moreover, the Monte Carlo evaluation has confirmed the strength of my new portfolio.
I'll soon begin testing this third phase with my own capital!
· 2
Enrique Enguix
shared signal
Now I'm testing the Privilege Advanced sets from version 7.20 of NEXUS on the Darwinex broker.
· 1
Enrique Enguix
shared product
Why do most EAs fail? Many Expert Advisors rely on temporary statistical advantages that disappear when the market changes, which happens continuously. The problem of over-optimization Moreover, most developers fall into the trap of fine-tuning their EAs to achieve perfect results in the past, without realizing that this won't translate to future market performance. It is crucial to conduct tests that consider future scenarios. The importance of diversification It is crucial not to concentrate
Enrique Enguix
shared product
Want to trade like a professional? The Tank v1 EA is designed to meet the needs of investors and financial enthusiasts, merging simplicity and robust performance. Key Features: - 1 Daily trade - Stop Loss and Take Profit for each trade - Pending orders like Buy Stop and Sell Stop - Manage risk with precision. - Close orders at the end of the day - Does not trade on Fridays Adapt it to Your Needs: Although initially optimized for the GBP/USD pair on the H1 timeframe, Tank v1 invites you to
Enrique Enguix
shared product
Experience the power of Center EA and dominate the Forex market! Price action-based trading with in-depth analysis of market movement. Center stands out for its trend characteristics. How not to lose your money (2 minute audio in English) Instant Download: Join over 30,000 people who have already taken advantage of this opportunity and download Center EA instantly. Proven Profitability: Up to 80% of trades can be successful with Center EA! Price Action Based Strategy: Maximize your earnings