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11+ años
experiencia
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32
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604
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Evgeniy Scherbina
🚀 Dark Mars EA: High-Octane Scalping, Unfiltered
Meet Dark Mars—an aggressive scalper that lives on the edge:
⚡ Trades H1 charts but sneaks peeks at D1 trends for extra conviction
⚡ Pulls trades like a machine—stacking positions to average in/out
⚡ Pure scalper mentality: "Grab tiny wins, repeat, survive"
The Raw Truth:
✅ Hyper-active – It trades a lot (you wanted action? Here it is)
✅ Self-healing – Cuts losses by doubling down (high risk, high drama)
✅ Small bites only – Don’t expect home runs; this is a micro-profit grind
Ideal for: Traders who want non-stop adrenaline and trust the math of volume > windfalls.
⚠️ Warning: Not for the faint-hearted. Drawdowns can get spicy before the rebound.
Meet Dark Mars—an aggressive scalper that lives on the edge:
⚡ Trades H1 charts but sneaks peeks at D1 trends for extra conviction
⚡ Pulls trades like a machine—stacking positions to average in/out
⚡ Pure scalper mentality: "Grab tiny wins, repeat, survive"
The Raw Truth:
✅ Hyper-active – It trades a lot (you wanted action? Here it is)
✅ Self-healing – Cuts losses by doubling down (high risk, high drama)
✅ Small bites only – Don’t expect home runs; this is a micro-profit grind
Ideal for: Traders who want non-stop adrenaline and trust the math of volume > windfalls.
⚠️ Warning: Not for the faint-hearted. Drawdowns can get spicy before the rebound.
· 2
7378Veles
2025.05.31
Сегодня протестировал на истории 22-25 USDCAD - результаты почему-то и близко не приближены. Порядка 100 процентов за период - хотя взял настройки базовые именно.
Evgeniy Scherbina
2025.05.31
100% это видимо хорошо? Это скальпер, нужно опасаться просадки, так что нет, лучше играть вдолгую, не 3 дня.
7378Veles
2025.06.01
Я имел ввиду не даты 22-25 а годы. Просто у вас та же пара прям отработала не демо гораздо доходнее
Evgeniy Scherbina
🚀 What’s up, traders? Big news!
The Gold Chaser EA 3.0 is finally here—smarter, stronger, and packed with upgrades:
✅ Cutting-edge Transformer AI (yes, the tech behind ChatGPT!) for sharper predictions
✅ Dual-network power—1net and 2nets working together to crush market noise
✅ New indices! Trade US30 and US500—more opportunities, same killer logic
✅ Bitcoin just got safer (though stay sharp—it’s still crypto, so expect livelier swings!)
The best part? The system’s built to adapt and recover, no matter what the markets throw at it.
🔥 Ready to test the future? Grab v3.0 now!
The Gold Chaser EA 3.0 is finally here—smarter, stronger, and packed with upgrades:
✅ Cutting-edge Transformer AI (yes, the tech behind ChatGPT!) for sharper predictions
✅ Dual-network power—1net and 2nets working together to crush market noise
✅ New indices! Trade US30 and US500—more opportunities, same killer logic
✅ Bitcoin just got safer (though stay sharp—it’s still crypto, so expect livelier swings!)
The best part? The system’s built to adapt and recover, no matter what the markets throw at it.
🔥 Ready to test the future? Grab v3.0 now!
· 1
Evgeniy Scherbina
What's up, guys! I am publishing yet another evalution of the 10 best EAs. This time it is the alternative TOP 10 , that is not places 1 to 10, but 101 to 110. Yes! Why? I thought maybe there are EAs that the customers don't see, but they should be popular...
· 4
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Evgeniy Scherbina
What's up, guys! Here is my schedule to update the EAs.
Gold Chaser: May-June
QuantumPip and LuminaFX: June
Atari: June-July
It takes a while to make new tests and find better configurations. So stay tuned, profits will be ours!
Gold Chaser: May-June
QuantumPip and LuminaFX: June
Atari: June-July
It takes a while to make new tests and find better configurations. So stay tuned, profits will be ours!
· 4
Evgeniy Scherbina
Ha publicado el producto
El Dark Mars Expert Advisor está listo para el comercio totalmente automatizado con varios símbolos. El Dark Mars EA es un scalper que he probado en el M5, M15, M30, y H1 marcos de tiempo. El EA abre operaciones en rupturas o retrocesos basados en el indicador de Bandas de Bollinger. El EA está listo para operar de inmediato con la configuración por defecto - no se necesita optimización para GBPUSD y USDCAD. Una ventaja bien conocida de los scalpers es el alto número de operaciones ejecutadas
Sergey Porphiryev
2025.05.21
Т.е. это по большому счёту технический советник? и нейросети тут лишь как один из фильтров?
Evgeniy Scherbina
2025.05.21
Есть бесплатный вариант Dark Venus, который постоянно сваливается. Я доработал, фильтры пытаются распознать тренд.
Evgeniy Scherbina
Ha publicado el producto
El EA "Latte" está preparado para operar con varios símbolos en el modo totalmente automatizado desde 1 gráfico. El EA utiliza una red neuronal "Transformer" para predecir los movimientos de los precios. La principal ventaja del Transformer sobre una red LSTM es su capacidad para encontrar patrones incluso a través de secuencias muy largas de datos. Mientras que las LSTM suelen perder información cuando tratan secuencias de más de 2 o 3 meses, las Transformer manejan secuencias de hasta un año
· 3
Evgeniy Scherbina
Hi. What's up! I am back with my assessment of the market top. This time I am looking at the TOP 10 FREE EAs . In case you care, I did the TOP 50 of the Market End of Year (paid EAs). Spoiler: There is smth worthwhile, but not in the top 10...
· 6
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Evgeniy Scherbina
Hi. Are you looking for a profitable free EA? Here is one - "Your False Hope"! I have not updated its weights since the end of December. And it keeps bumbing up ever since! You think if you paid 1-2K USD for your EA, it can do better than this? Patterns develop over time. Profits should be evaluated over longer periods, not week by week. Let's check back in another 4-5 months!
· 1
Evgeniy Scherbina
Hi everyone! Let’s update our forecasts for May. The broader "risk-on" trend is still in play, which means the USD is likely to keep weakening against other currencies. EurUsd: Last time , I called the April rally correctly — and EurUsd is still in a strong position, eyeing that big 1.20 target...
· 2
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Evgeniy Scherbina
Hi, everyone. A few words about this newest trend in machine learning - the Transformer!
The Transformer architecture was first introduced by Google in 2017 for language translation tasks. Since then, this type of neural network has been widely adopted for building artificial intelligence systems, including ChatGPT. The key difference with the Transformer is that it encodes each input into a high-dimensional space (tens of thousands of dimensions), allowing it to capture complex relationships between all elements in the sequence. This approach sparked a revolution in machine learning, initially discussed only among experts, but later driving major advances as AI became more mainstream. As a result, Transformer models have increasingly replaced LSTMs in many fields, including financial market forecasting.
What impressed me the most is that the Transformer is able to continue learning even when the validation data differs from the training data. In my experience, LSTM networks often require the validation set to contain similar patterns to the training set in order to make further progress. When the validation examples are too different, LSTM training does not move at all. The Transformer, however, generalizes much better and continues to improve even on unfamiliar validation data. My tests show that the Transformer significantly outperforms LSTM in binary classification tasks.
The Transformer architecture was first introduced by Google in 2017 for language translation tasks. Since then, this type of neural network has been widely adopted for building artificial intelligence systems, including ChatGPT. The key difference with the Transformer is that it encodes each input into a high-dimensional space (tens of thousands of dimensions), allowing it to capture complex relationships between all elements in the sequence. This approach sparked a revolution in machine learning, initially discussed only among experts, but later driving major advances as AI became more mainstream. As a result, Transformer models have increasingly replaced LSTMs in many fields, including financial market forecasting.
What impressed me the most is that the Transformer is able to continue learning even when the validation data differs from the training data. In my experience, LSTM networks often require the validation set to contain similar patterns to the training set in order to make further progress. When the validation examples are too different, LSTM training does not move at all. The Transformer, however, generalizes much better and continues to improve even on unfamiliar validation data. My tests show that the Transformer significantly outperforms LSTM in binary classification tasks.
· 3
Evgeniy Scherbina
Hi. I am updating my monthly assessment of the major trends on Forex. The overall trend can be described as "appeasement," which means Usd will be losing ground to other currencies in April. I was correct about an up move by EurUsd the previous time . It has not yet reached 1...
· 3
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Evgeniy Scherbina
What's up, guys! These are the latest improvement in the version 3.1 of LuminaFX:
1. A control of spread instead of "time open" and "time close" properties. Spreads tend to widen over midnight, and when spreads become usual again, trading resumes.
2. A new "Close all" function. It is now one property - "Close all profit (%)" - which triggers for all trades at any time when the value is reached. The historical chart may now look more straight-lined due to this. Trades can be reopened the next day, so after this function triggers, new trades will be opened only next week.
3. The "Max trades per signal" property changed, and now it count all trades for one symbol.
Plus some other minor impovements!
1. A control of spread instead of "time open" and "time close" properties. Spreads tend to widen over midnight, and when spreads become usual again, trading resumes.
2. A new "Close all" function. It is now one property - "Close all profit (%)" - which triggers for all trades at any time when the value is reached. The historical chart may now look more straight-lined due to this. Trades can be reopened the next day, so after this function triggers, new trades will be opened only next week.
3. The "Max trades per signal" property changed, and now it count all trades for one symbol.
Plus some other minor impovements!
· 3
Evgeniy Scherbina
Hi. Gold broke the upper limit in 2024. And it still shows no sign of stopping. New threats of tariffs from Trump and a failed peace deal add more uncertainty and, hence, may push Gold up for the next few weeks. I don't think Gold will be rising forever, though...
· 7
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Evgeniy Scherbina
Hey, what's up guys! I guess this experiment with the H2 timeframe has been no good. It is tricky, but the bottom line is that it is not safe long-term. There may be periods where the H2 timeframe is extremely helpful and profitable. But then in other periods, it is just losing and losing.
The other good idea, in addition to the Daily timeframe with 1net, is to exploit the Daily timeframe with 2nets. As the picture below shows, the "Intraday Rush" EA has been pushing up in the last 4 months straightforwardly. It only exploits the 2nets approach. I have this approach implemented in both "QuantumPip" and "LuminaFX". However, considering all the changes I introduced in the last couple of months, the 2nets approach is currently off. So what I am going to do is re-activate the 2nets approach and it will again complement the 1net approach.
The other good idea, in addition to the Daily timeframe with 1net, is to exploit the Daily timeframe with 2nets. As the picture below shows, the "Intraday Rush" EA has been pushing up in the last 4 months straightforwardly. It only exploits the 2nets approach. I have this approach implemented in both "QuantumPip" and "LuminaFX". However, considering all the changes I introduced in the last couple of months, the 2nets approach is currently off. So what I am going to do is re-activate the 2nets approach and it will again complement the 1net approach.
· 5
Evgeniy Scherbina
What's up, guys!
A few words regarding the approach I am using to define what is profitable and what is not. Below is a picture showing that a neural network struggled to make a profit for 2 months, and after that it found its trend up. What this means is that Forex trading is based on probabilities, and the reality is that a 51% forecast should be considered good. Although it may sound like a trick, it is not. I have tried to explain many times that if a strategy learns the history too well, it cannot make new correct decisions in new incorrect situations. So we have to accept that a strategy may be struggling for 1-2 months before it can make a profit.
My best approach so far in both free and paid EAs implements this concept. I have recently found a way to combine data of different symbols and to prolong the training for 200-300 epochs while improving the neural loss by tiny bits of 5-6 digits after the dot. This is outstanding. The neural network improves its knowledge about historical patterns without moving away from the dangerous border of the neural loss.
All of this does not mean there will never be another improvement. I am working and testing again and again. And I constantly keep my attentive eye on all the novelties in the machine learning area. So let's do it!
A few words regarding the approach I am using to define what is profitable and what is not. Below is a picture showing that a neural network struggled to make a profit for 2 months, and after that it found its trend up. What this means is that Forex trading is based on probabilities, and the reality is that a 51% forecast should be considered good. Although it may sound like a trick, it is not. I have tried to explain many times that if a strategy learns the history too well, it cannot make new correct decisions in new incorrect situations. So we have to accept that a strategy may be struggling for 1-2 months before it can make a profit.
My best approach so far in both free and paid EAs implements this concept. I have recently found a way to combine data of different symbols and to prolong the training for 200-300 epochs while improving the neural loss by tiny bits of 5-6 digits after the dot. This is outstanding. The neural network improves its knowledge about historical patterns without moving away from the dangerous border of the neural loss.
All of this does not mean there will never be another improvement. I am working and testing again and again. And I constantly keep my attentive eye on all the novelties in the machine learning area. So let's do it!
· 7
Evgeniy Scherbina
What’s up, guys! I have found another way to incorporate the H2 timeframe into my strategies. I removed the H2 previously, because it loses badly in a trending market. Now I think it should be Ok if the H2 timeframe only activates when the D1 timeframe is in the period of uncertainty. Like EURUSD right now, it is neither buy nor sell. But it is still fluctuating swiftly, and it is the H2 timeframe that should be able to make a profit on this non-trending volatility. I am going to add the H2 strategy to both QuantumPip and LuminaFX very soon. Stay tuned!
· 5
Evgeniy Scherbina
Hi! In this post, I tried to analyze the market leaders in depth. And I explored more than the usual top 10. I went deeper to unconver as many as 50 experts from the list of best-selling experts! My goal was not to mock all the strategies selling in the market top...
· 9
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Evgeniy Scherbina
Only until January 10th! The prices are reduced!
Atari - new price 185 USD (down from 385 USD)
QuantumPip and QuantumPip MT4 - new price 185 USD (down from 385 USD)
LuminaFX - new price 165 USD (down from 285 USD)
And, of course, you can rent these products for 6 months at even lower prices! Check them out!
Atari - new price 185 USD (down from 385 USD)
QuantumPip and QuantumPip MT4 - new price 185 USD (down from 385 USD)
LuminaFX - new price 165 USD (down from 285 USD)
And, of course, you can rent these products for 6 months at even lower prices! Check them out!
· 2
Evgeniy Scherbina
What's up, guys!
I have been working hard to update the QuantumPip expert and make it more adaptive to the quickly changing market environment. In my previous tests, Gold has had the upper hand as a solid supporting symbol. But frankly, there is not much correlation between currency symbols and Gold if we look at the last 6 months. This is what accounted for a low or even negative (in certain configurations) profitability in the second half of 2024. Vice versa, "Dixie", as a supporting symbol, has a strong link with the currency symbols because this indicator is their balanced sum by nature.
Last time I promised to add a separate neural network for closing trades and remove the "2nets" network. It appears this task would require more tests. Right now, I have found a more reliable approach to train the networks by manipulating dropouts and recurrent dropouts in neural layers, which have been recently reconfigured by the team of TensorFlow.
Nothing should stand still. The new version of QuantumPip will prioritize using the "Dixie" indicator as a supporting symbol instead of Gold. It is going to use a more versatile system of weighted prices, Standard Deviation, and a few other indicators as inputs. This should be more reliable, more adaptive, and more profitable than anything we have had so far.
I have been working hard to update the QuantumPip expert and make it more adaptive to the quickly changing market environment. In my previous tests, Gold has had the upper hand as a solid supporting symbol. But frankly, there is not much correlation between currency symbols and Gold if we look at the last 6 months. This is what accounted for a low or even negative (in certain configurations) profitability in the second half of 2024. Vice versa, "Dixie", as a supporting symbol, has a strong link with the currency symbols because this indicator is their balanced sum by nature.
Last time I promised to add a separate neural network for closing trades and remove the "2nets" network. It appears this task would require more tests. Right now, I have found a more reliable approach to train the networks by manipulating dropouts and recurrent dropouts in neural layers, which have been recently reconfigured by the team of TensorFlow.
Nothing should stand still. The new version of QuantumPip will prioritize using the "Dixie" indicator as a supporting symbol instead of Gold. It is going to use a more versatile system of weighted prices, Standard Deviation, and a few other indicators as inputs. This should be more reliable, more adaptive, and more profitable than anything we have had so far.
· 2
Evgeniy Scherbina
What's up guys!
I am working to publish a new update of QuantumPip next week.
1) I will end the "2nets" approach. All open trades will be treated as "1net" trades.
2) I will add a "2 steps" approach instead. 1st step to open trades, 2nd step to close trades - all trained as different neural networks. The new closing network will take into account the duration and profitability of open trades. Possibly, I will make it as a timeseries, too. This may have additional information on how a trade developed, in addition to indicator values.
I am going to publish comparative pictures soon.
You cannot test the current 2.4 version of QuantumPip beyond October 23rd, latest update, unless you have an active copy on your account. The active copy downloads fresh data from Yahoo Finance. Since experts cannot download data in historical testing, this is only limited to active copies. I will update it next week, so historical testing will move on, too.
I am working to publish a new update of QuantumPip next week.
1) I will end the "2nets" approach. All open trades will be treated as "1net" trades.
2) I will add a "2 steps" approach instead. 1st step to open trades, 2nd step to close trades - all trained as different neural networks. The new closing network will take into account the duration and profitability of open trades. Possibly, I will make it as a timeseries, too. This may have additional information on how a trade developed, in addition to indicator values.
I am going to publish comparative pictures soon.
You cannot test the current 2.4 version of QuantumPip beyond October 23rd, latest update, unless you have an active copy on your account. The active copy downloads fresh data from Yahoo Finance. Since experts cannot download data in historical testing, this is only limited to active copies. I will update it next week, so historical testing will move on, too.
· 1