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저는 현재 시장에서 대부분의 전문가 어드바이저 (EA)가 직면하는 도전을 이해합니다. 많은 EA는 일시적 이점을 활용하는 전략에 의존하거나 과도한 최적화의 함정에 빠져 실패합니다. 제 관점은 예측적인 것이 아니라, 변화하는 시장에 대비할 수 있는 적응적인 접근에 초점을 맞추고 있습니다. 나는 지능적인 다양성과 리스크 관리의 중요성을 강조하며, 언제든지 계좌를 보호하기 위한 조치를 취하고 있습니다. 나는 알고리즘 트레이딩의 성공은 전형적인 시장 도전을 극복할 수 있는 동적이고 적응 가능한 접근에 있다고 확신합니다.알고리즘 트레이딩에는 동적이고 적응적인 접근이 필요합니다.
🔵 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
🔵 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
I have written a small optimization guide for MT5. Something simple but that reflects my main points. You can download it, free of charge, at the following link:
https://forms.gle/RRuEQwByqBewfYQ69
https://forms.gle/RRuEQwByqBewfYQ69
· 2
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
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
Just a small glimpse of our optimization guide, very close to being delivered to all the users of my EAs.
· 2
Enrique Enguix
Today I’ve been working on one of the strategies we’ve obtained through quantitative strategy mining. Initially, I was quite pleased with the results as I ran tests and made minor adjustments. However, it wasn’t until I saw the image on the chart, where so many indicators are combined to create a strategy that passes tests, that I said to myself, 'Enrique, this looks like it might be over-optimized; there’s too much complexity and too many variables to see a good curve.'
Even though the strategy has passed robustness tests positioning it as a good strategy, I will be closely monitoring it while testing it in the incubator. I want to determine if we have something that’s over-optimized or if there is a true edge in the market.
Even though the strategy has passed robustness tests positioning it as a good strategy, I will be closely monitoring it while testing it in the incubator. I want to determine if we have something that’s over-optimized or if there is a true edge in the market.
· 3
Enrique Enguix
공유 시그널
An older version of Nexus, with a mixed configuration (Privilege - Classic). Chimique 2
· 1
Enrique Enguix
공유 시그널
An older version of Nexus, with a mixed configuration (Privilege - Classic). Chimique 1
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
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
공유 시그널
Now I'm testing the Privilege Advanced sets from version 7.20 of NEXUS on the Darwinex broker.
· 1
Enrique Enguix
공유 제품
대부분의 EA가 실패하는 이유는 무엇인가요? 많은 전문가 어드바이저(EA)는 시장이 지속적으로 변화하는 것에 의해 사라지는 일시적인 통계적 이점에 의존합니다. 과적합 문제 또한 대부분의 개발자들은 과거에 완벽한 결과를 얻기 위해 EA를 세밀하게 조정하는 함정에 빠지는데, 이는 미래의 시장 성과로 이어지지 않음을 깨닫지 못합니다. 미래 시나리오를 고려한 테스트를 수행하는 것이 중요합니다. 다양성의 중요성 우리의 투자를 단일 옵션에 집중시키지 않는 것이 중요합니다. 이는 특히 함께 움직이는 시장에서는 위험할 수 있습니다. 예를 들어, EUR/USD와 GBP/USD와 같이 매우 관련된 두 통화 쌍에 동일한 전략을 사용하는 경우, 무언가 잘못되면 손실이 증가할 수 있습니다. 그러므로 투자 전략을 다양화하는 것이 자금을 보호하는 데 중요합니다. Stop Loss가 없는 EA는 어떻게 되나요? 일부 EA는 테스트에서 실패를 피하려고 하지만 언제든지 계정을 보호하는 것이 중요합니다. 적절한 보호
Enrique Enguix
공유 제품
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
공유 제품
골드 트레이딩에서 Atomic79의 힘을 발견하세요! 2년 전 1850달러에 금 바에 투자한 것을 상상해보세요. 당신은 시장의 상승과 하락을 경험하게 될 것입니다: 6개월 후에는 1630달러까지 하락한 다음 2023년 1월까지 원래 가치로 천천히 회복됩니다. 하지만 진정한 승리는 2023년 11월에 오게될 것입니다. 그 때 가격은 2400달러로 상승하여 24개월 동안 550달러의 이익을 창출할 것입니다. 그 동안 Atomic79은 무엇을 할까요? 상승과 하락의 움직임을 이용하여 최적의 타이밍에 입장하고 출구합니다. 우리의 회고적 분석에 따르면, 그 1850달러는 오늘날 3192달러가 될 것입니다. 상당한 차이입니다! Atomic79의 특징 : 시장 적응성 : Atomic79는 금 시장의 변화에 신속히 대응하여 도전을 수익 기회로 변환합니다. 전략적 통합 : 세 가지 강력한 전략을 결합하여 수익을 극대화하고 위험을 최소화합니다. 효과적인 리스크 관리 : 고도의 도구를 사용하여 고도의
Enrique Enguix
공유 제품
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