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Evgeniy Scherbina
Why an ensemble really matters 🧠📊
An ensemble approach means combining multiple neural network models instead of relying on just one 🔗.
Right now, I’m the only developer actually selling a true neural ensemble in trading — and that makes a real difference 🚀.
Currently available:
“LSTM Ensemble” — combines 12 LSTM models
“Edge Ensemble” — combines 12 models of two different types: LSTM and TCN
Each model is trained on different folds of the data, so they learn different market behaviors instead of repeating the same mistakes 🎯.
I’m currently working with LSTM, TCN, and Transformer models, each representing a different class of memory and pattern recognition 🧩. TCN and especially Transformer are mathematically complex models, and that complexity allows them to capture structures that simpler models may miss 🧮.
Because each model “remembers” the market differently, the ensemble becomes more stable, adaptive, and resilient over time 🛡️.
Below, you can see a chart showing how this ensemble performs on a true out-of-sample test period, far beyond the training data 📈.
Selecting the winning model within its own fold is a critical step — this diversity is the real power behind the ensemble ⚡. The result is honestly stunning, unlike anything I’ve seen before ✨.
And yes — strategies of this class, powered by neural ensembles, are available only here 🔥.
An ensemble approach means combining multiple neural network models instead of relying on just one 🔗.
Right now, I’m the only developer actually selling a true neural ensemble in trading — and that makes a real difference 🚀.
Currently available:
“LSTM Ensemble” — combines 12 LSTM models
“Edge Ensemble” — combines 12 models of two different types: LSTM and TCN
Each model is trained on different folds of the data, so they learn different market behaviors instead of repeating the same mistakes 🎯.
I’m currently working with LSTM, TCN, and Transformer models, each representing a different class of memory and pattern recognition 🧩. TCN and especially Transformer are mathematically complex models, and that complexity allows them to capture structures that simpler models may miss 🧮.
Because each model “remembers” the market differently, the ensemble becomes more stable, adaptive, and resilient over time 🛡️.
Below, you can see a chart showing how this ensemble performs on a true out-of-sample test period, far beyond the training data 📈.
Selecting the winning model within its own fold is a critical step — this diversity is the real power behind the ensemble ⚡. The result is honestly stunning, unlike anything I’ve seen before ✨.
And yes — strategies of this class, powered by neural ensembles, are available only here 🔥.
Evgeniy Scherbina
Выставил продукт
Edge Ensemble — это профессиональный торговый советник, построенный на ансамбле из 12 независимых нейросетей двух разных архитектур: LSTM и TCN. Каждая сеть в ансамбле выступает как отдельная торговая стратегия, а итоговый торговый сигнал формируется на основе коллективного решения всего набора моделей. Вместо поиска одной универсальной модели, обученной по классической схеме 80/20, Edge Ensemble использует ансамбль, специально рассчитанный на работу с нестационарными временными рядами
Evgeniy Scherbina
For years, the industry has blindly followed the traditional 80/20 training split ⚙️ — and in reality, this approach is flawed twice over.
When you train on 15 years of data, the most recent 3 years are thrown away ❌ and never used for learning.
Even worse, those final years cannot represent the full diversity of market behavior that came before them 📉📈.
A far more robust solution is to use historical folds 🧩, where each period trains its own dedicated model.
Instead of one fragile model trying to learn everything, I found a solution in an ENSEMBLE ARCHITECTURE, where each model specializes in its own market regime 🔍.
This approach mirrors how real markets work: they evolve, rotate, and repeat — but never stay the same 🔄.
By combining proven architectures like LSTM 🧠, known for their stability, with modern innovations like Temporal Convolutional Networks (TCN) ⚡, a true breakthrough in time-series forecasting emerges.
TCN is rapidly becoming a new standard for sequential data, including complex financial markets 💹, and its synergy with LSTM is remarkably powerful 🤝.
Today, there is not a single marketplace strategy built on a true 12-model ensemble 🚀.
This is not a cosmetic improvement — it is A FUNDAMENTAL SHIFT in how trading systems are designed and validated 🛠️.
What is most striking in technical testing is the consistency 📊: even with extremely aggressive settings where the history is almost memorized, the strategy still manages to push the equity curve upward on completely unseen data 📈✨.
That level of robustness is not an accident — it is the direct result of THE ENSEMBLE PHILOSOPHY 🎯.
Over the next year, I plan to release several more strategies, all based on this ensemble-driven approach 🧪.
Let’s test a new way of trading together — one that finally respects market history instead of discarding it 🤖💡.
When you train on 15 years of data, the most recent 3 years are thrown away ❌ and never used for learning.
Even worse, those final years cannot represent the full diversity of market behavior that came before them 📉📈.
A far more robust solution is to use historical folds 🧩, where each period trains its own dedicated model.
Instead of one fragile model trying to learn everything, I found a solution in an ENSEMBLE ARCHITECTURE, where each model specializes in its own market regime 🔍.
This approach mirrors how real markets work: they evolve, rotate, and repeat — but never stay the same 🔄.
By combining proven architectures like LSTM 🧠, known for their stability, with modern innovations like Temporal Convolutional Networks (TCN) ⚡, a true breakthrough in time-series forecasting emerges.
TCN is rapidly becoming a new standard for sequential data, including complex financial markets 💹, and its synergy with LSTM is remarkably powerful 🤝.
Today, there is not a single marketplace strategy built on a true 12-model ensemble 🚀.
This is not a cosmetic improvement — it is A FUNDAMENTAL SHIFT in how trading systems are designed and validated 🛠️.
What is most striking in technical testing is the consistency 📊: even with extremely aggressive settings where the history is almost memorized, the strategy still manages to push the equity curve upward on completely unseen data 📈✨.
That level of robustness is not an accident — it is the direct result of THE ENSEMBLE PHILOSOPHY 🎯.
Over the next year, I plan to release several more strategies, all based on this ensemble-driven approach 🧪.
Let’s test a new way of trading together — one that finally respects market history instead of discarding it 🤖💡.
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Evgeniy Scherbina
Happy Holidays and Happy New Year!
Wishing you a profitable year ahead, steady growth, and confident trading decisions in the Forex market.
To celebrate the holiday season, I’m offering 35% discounts on my selected best products:
LSTM Ensemble — new price $210 USD
Chanlun Master — new price $210 USD
May the new year bring strong trends, clean signals, and plenty of profits.
Trade smart, manage risk, and let the market work in your favor.
Wishing you a profitable year ahead, steady growth, and confident trading decisions in the Forex market.
To celebrate the holiday season, I’m offering 35% discounts on my selected best products:
LSTM Ensemble — new price $210 USD
Chanlun Master — new price $210 USD
May the new year bring strong trends, clean signals, and plenty of profits.
Trade smart, manage risk, and let the market work in your favor.
· 1
Evgeniy Scherbina
Выставил продукт
LSTM Ensemble — это профессиональный торговый советник, построенный на ансамбле из 12 независимых LSTM-моделей, каждая из которых является отдельной торговой стратегией. Вместо одной «идеальной» модели, обученной по классической схеме 80/20, советник использует коллектив решений, где итоговый торговый сигнал формируется на основе согласия нескольких нейросетей. >>>>> ===== <<<<<< 35% праздничная скидка — успейте приобрести за 210 USD! Осталось всего несколько
Evgeniy Scherbina
I am thrilled to announce 📣 that I will soon be releasing the Ensemble Trader, a new advisor that integrates 12 distinct models with stunning results 🚀💥.
Traditional machine learning often relies on a standard 80/20 data split 🤖, but it is strange to think 🤔 that the final 20% can truly "verify" the entire learning process. Over a long history ⏳, the market transitions through vastly different environments; while Brexit and the COVID crash 📉 are the most obvious examples, there are countless other specific trading regimes. A single rigid model simply cannot adapt to all of them effectively 🧊❌.
This adaptive strategy employs an ensemble approach where each sub-model 🧩 is responsible for covering a specific regime found in historical data. Instead of relying on a single logic, the models weigh their inputs ⚖️ to reach a robust consensus decision 🤝✅.
To be clear, this strategy still does not draw a perfectly straight equity line 🚫📈, because that is theoretically impossible in real markets. However, the Ensemble Trader solves many classic stability issues ⚓🛠️. It finally provides solid grounds to believe that earning with a fully automated Forex strategy is absolutely possible 💰🎯.
Traditional machine learning often relies on a standard 80/20 data split 🤖, but it is strange to think 🤔 that the final 20% can truly "verify" the entire learning process. Over a long history ⏳, the market transitions through vastly different environments; while Brexit and the COVID crash 📉 are the most obvious examples, there are countless other specific trading regimes. A single rigid model simply cannot adapt to all of them effectively 🧊❌.
This adaptive strategy employs an ensemble approach where each sub-model 🧩 is responsible for covering a specific regime found in historical data. Instead of relying on a single logic, the models weigh their inputs ⚖️ to reach a robust consensus decision 🤝✅.
To be clear, this strategy still does not draw a perfectly straight equity line 🚫📈, because that is theoretically impossible in real markets. However, the Ensemble Trader solves many classic stability issues ⚓🛠️. It finally provides solid grounds to believe that earning with a fully automated Forex strategy is absolutely possible 💰🎯.
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Evgeniy Scherbina
What's up, folks! It’s been a while since I last posted anything about the TOP 10 EAs — but I'm finally back with some fresh ideas. Honestly, I haven’t checked the EA market yet, so I have no clue what the current landscape looks like...
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Evgeniy Scherbina
Here are the first steps of my newest strategy, Chanlun Master.
You can already check out a live demo signal on myfxbook.com.
You’ll notice that the strategy expects large moves and usually opens trades early in the day.
One of the key differences between this strategy and my previous ones is the way it’s trained. It’s based on time-series learning, which usually means you split the data by time — the “right” part of the data, the most recent one, is excluded from training. But after thinking about it, I realized this approach is both illogical and counter-productive.
So I changed it. I split the training into folds, where each fold has its own training and validation sets. Tests show that this method is more stable and reliable. Of course, the real results will become clear in a few months — fingers crossed!
You can already check out a live demo signal on myfxbook.com.
You’ll notice that the strategy expects large moves and usually opens trades early in the day.
One of the key differences between this strategy and my previous ones is the way it’s trained. It’s based on time-series learning, which usually means you split the data by time — the “right” part of the data, the most recent one, is excluded from training. But after thinking about it, I realized this approach is both illogical and counter-productive.
So I changed it. I split the training into folds, where each fold has its own training and validation sets. Tests show that this method is more stable and reliable. Of course, the real results will become clear in a few months — fingers crossed!
Evgeniy Scherbina
Bitcoin: Wild by Nature Bitcoin dropped roughly 30% in November as panic-driven outflows hit the market. This selloff may have been sparked partly by the fading enthusiasm around President Trump’s pro-crypto comments...
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Evgeniy Scherbina
Hi everyone! 👋
My new EA Chanlun Master blends the Eastern logic of Chanlun 🏯 with modern neural networks 🤖 to give you a clean and intuitive trading style.
It focuses on spotting Super Turning Points ⚡ — those moments when a trend finally runs out of steam and a strong reversal is likely.
Smart filtering keeps out the noise, and the system works smoothly across several symbols on higher timeframes 📈.
What really makes it shine is consistency: historical tests show stable accuracy, loss, and—most importantly—profitability 🚀 even on unseen data beyond the training period.
This kind of stability means the model isn’t overfitting, but actually learning real market behavior.
Chanlun Master is simple, focused, and surprisingly powerful.
My new EA Chanlun Master blends the Eastern logic of Chanlun 🏯 with modern neural networks 🤖 to give you a clean and intuitive trading style.
It focuses on spotting Super Turning Points ⚡ — those moments when a trend finally runs out of steam and a strong reversal is likely.
Smart filtering keeps out the noise, and the system works smoothly across several symbols on higher timeframes 📈.
What really makes it shine is consistency: historical tests show stable accuracy, loss, and—most importantly—profitability 🚀 even on unseen data beyond the training period.
This kind of stability means the model isn’t overfitting, but actually learning real market behavior.
Chanlun Master is simple, focused, and surprisingly powerful.
Evgeniy Scherbina
Выставил продукт
Chanlun Master: Слияние восточной философии рынка и нейросетей Chanlun Master — это профессиональный торговый робот, объединяющий легендарную китайскую теорию движения цены и современные технологии глубокого машинного обучения (Deep Learning). 🏯 История: Что такое Чаньлунь? В 2006 году в китайском сегменте интернета появился загадочный трейдер под псевдонимом Chan Shi («Мастер Дзен»). Он опубликовал серию статей, описывающих уникальную математическую структуру рынка, которую назвал «Чаньлунь»
Evgeniy Scherbina
The EurUsd has been moving sideways for months now, locked in a massive consolidation that started back in the summer. Anyone who's watched this pair long enough knows what that usually means — a big move is coming. The current range looks almost identical to the ones we saw in late 2024 and early 2025, and even to that long, painful consolidation at the start of 2024. History tends to rhyme, and right now it's whispering "trend breakout."
Most likely, that breakout will be to the upside, with potential targets around 1.20 to 1.40. It won't happen overnight, but the setup is already there. So what's been holding EurUsd back? Mainly politics and uncertainty out of France, where the financial and political crises are still dragging on. Germany already went through a similar phase, and its right-centrist forces managed to stabilize things. France, on the other hand, is still trying to figure out what's next — and Macron, being a republican rather than a socialist, has limited room to maneuver.
Once that cloud lifts, the euro could easily regain momentum. Whether it's by the end of the year or even in the next month, a strong rally in EurUsd looks more like a question of when, not if.
My Latte EA operates in a trend-following mode — it's built to catch big moves, not minor noise. And right now, it's been waiting far too long. The market's been quiet, but that silence won't last forever. What's clear is that Latte's cumulative position remains against the USD — and that's the right side to be on. When the breakout finally comes, Latte will already be where it needs to be.
Most likely, that breakout will be to the upside, with potential targets around 1.20 to 1.40. It won't happen overnight, but the setup is already there. So what's been holding EurUsd back? Mainly politics and uncertainty out of France, where the financial and political crises are still dragging on. Germany already went through a similar phase, and its right-centrist forces managed to stabilize things. France, on the other hand, is still trying to figure out what's next — and Macron, being a republican rather than a socialist, has limited room to maneuver.
Once that cloud lifts, the euro could easily regain momentum. Whether it's by the end of the year or even in the next month, a strong rally in EurUsd looks more like a question of when, not if.
My Latte EA operates in a trend-following mode — it's built to catch big moves, not minor noise. And right now, it's been waiting far too long. The market's been quiet, but that silence won't last forever. What's clear is that Latte's cumulative position remains against the USD — and that's the right side to be on. When the breakout finally comes, Latte will already be where it needs to be.
Evgeniy Scherbina
EurUsd — steady climb despite the noise No matter how messy things get in Europe - from the French budget drama to the so-called "migration crisis" that’s not even a crisis anymore - the Euro just keeps flexing . Euro’s been grinding higher, and this month it’s eyeing that sweet 1.20 level again...
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Evgeniy Scherbina
Hi, everyone! I'm currently studying the ideas and potential value of the "Chanlun System". It's a long-standing set of principles, dating back to around 2006, used to find effective entry and exit points in the market.
This post is to announce that I'm integrating a small, yet powerful, component of the system—the inside bars—into my top EAs, Latte and Quantum Pip, in the very near future!
Inside bars, or "bars within bars," are simple but seriously effective in Chanlun analysis. They essentially shout, "The market is taking a breather!" They signal a moment of consolidation, which usually precedes a big move. They're all about potential energy building up in a tight range. Given the large, painful flat stalemate we've been stuck in since August, these inside bars are flashing major warnings. This principle is the perfect mechanism to help my EAs overcome this frustrating, sideways chop. October is finally setting up to fire big, and I want my top EAs to catch the full thrust of the breakout!
This post is to announce that I'm integrating a small, yet powerful, component of the system—the inside bars—into my top EAs, Latte and Quantum Pip, in the very near future!
Inside bars, or "bars within bars," are simple but seriously effective in Chanlun analysis. They essentially shout, "The market is taking a breather!" They signal a moment of consolidation, which usually precedes a big move. They're all about potential energy building up in a tight range. Given the large, painful flat stalemate we've been stuck in since August, these inside bars are flashing major warnings. This principle is the perfect mechanism to help my EAs overcome this frustrating, sideways chop. October is finally setting up to fire big, and I want my top EAs to catch the full thrust of the breakout!
Evgeniy Scherbina
GbpUsd is entering two tense weeks that could set the tone for the rest of the year. First up comes U.S. CPI and the ECB rate decision, both of which will shake dollar and euro flows...
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Evgeniy Scherbina
The EurUsd currency pair is poised for violent fluctuations in the range of 1.14 to 1.18 over the next few weeks as investors closely monitor upcoming central bank decisions and geopolitical developments...
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Evgeniy Scherbina
What’s up, guys! In this post, I’m going to discuss the first results from the "Dark Mars" EA in June.
The 6 major symbols are currently at 0 profit with the default settings. However, they are winning for both Filter=ATR and Filter=None (though UsdChf drags down performance for ATR, and EurUsd does the same for None - but the overall profit sum remains positive).
The EA isn’t showing profitability on my Myfxbook demo signal because my server wasn’t fit for the task. All my other strategies are daily, so occasional connection losses weren’t an issue. However, "Dark Mars" is an hourly strategy, meaning it missed many profitable exits due to disconnections. I’ll need to switch to a more reliable server for this EA.
Now, here’s the interesting part! I’ve long suspected that a technical scalper system could deliver outstanding results on cross-pairs - and yes, that’s true! You can test it on "real ticks" and "profit in pips for faster calculations" (it may not calculate profit at all without this flag set). Filter=ATR or Filter=None for cross symbols. It shows amazing results for AudCad, AudNzd, GbpChf, and NzdCad. I haven’t checked larger target values for potentially higher profits. The drawdown is close to 0.
Must try a new server on cross symbols!
Cheers! Stay tuned!
The 6 major symbols are currently at 0 profit with the default settings. However, they are winning for both Filter=ATR and Filter=None (though UsdChf drags down performance for ATR, and EurUsd does the same for None - but the overall profit sum remains positive).
The EA isn’t showing profitability on my Myfxbook demo signal because my server wasn’t fit for the task. All my other strategies are daily, so occasional connection losses weren’t an issue. However, "Dark Mars" is an hourly strategy, meaning it missed many profitable exits due to disconnections. I’ll need to switch to a more reliable server for this EA.
Now, here’s the interesting part! I’ve long suspected that a technical scalper system could deliver outstanding results on cross-pairs - and yes, that’s true! You can test it on "real ticks" and "profit in pips for faster calculations" (it may not calculate profit at all without this flag set). Filter=ATR or Filter=None for cross symbols. It shows amazing results for AudCad, AudNzd, GbpChf, and NzdCad. I haven’t checked larger target values for potentially higher profits. The drawdown is close to 0.
Must try a new server on cross symbols!
Cheers! Stay tuned!
· 1
Emad
2025.07.07
Hi Evgeniy,
I testing "Dark Mars" with GBPUSD with 5M timeframe and 1H for ATR filter, LSTM for the trend, I'm using ICMarket demo-server with VPS server. Will share the results with you.
I testing "Dark Mars" with GBPUSD with 5M timeframe and 1H for ATR filter, LSTM for the trend, I'm using ICMarket demo-server with VPS server. Will share the results with you.
Evgeniy Scherbina
Hi folks! What's up! We're not seeing much change in this edition of the TOP10 evaluation. Here is the link to the previous evaluation a month ago: https://www.mql5.com/en/blogs/post/762726 Biggest disappointment...
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Evgeniy Scherbina
Oil The world economy is finally accelerating, supercharged by the AI revolution. As industries reprice everything in terms of AI-driven demand - from data centers to manufacturing - Oil is set to benefit massively...
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Evgeniy Scherbina
Why Transformers Beat LSTMs in Forex Forecasting
1/ Longer Context: Transformers digest more price bars, spotting trends LSTMs miss.
2/ Cleaner Growth: The attached image shows transformer passes (small pics) trending up steadily; LSTMs jump around.
3/ Efficiency Wins: We don’t need many passes—just one solid one. LSTMs can deliver, but transformers do it more reliably.
4/ Key Insight: My "2 numbers" method (forecast + its accuracy score) cuts noise. Transformers leverage both best.
1/ Longer Context: Transformers digest more price bars, spotting trends LSTMs miss.
2/ Cleaner Growth: The attached image shows transformer passes (small pics) trending up steadily; LSTMs jump around.
3/ Efficiency Wins: We don’t need many passes—just one solid one. LSTMs can deliver, but transformers do it more reliably.
4/ Key Insight: My "2 numbers" method (forecast + its accuracy score) cuts noise. Transformers leverage both best.
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