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Sinergy Al Model Xgb Boost

This Al trading expert advisor (EA) uses two machine learning models - Chinese XGBoost and Russian CatBoost, working in pairs and enhancing each other's signals. The Al trading advisor is specifically designed for the euro-dollar pair and trained on data from the RoboForex broker. By using two models, the Al trading advisor can effectively analyze the market and provide more accurate trading signals.

The model is trained on data up to 2010, which allows it to effectively predict future prices. The forward test can be viewed after 2010, outside the training section. The Al trading model uses 99 features that enable it to effectively analyze the market and provide more accurate trading signals. According to testing since 2000, the expected annual return is around 30% per annum with a drawdown of 5% per annum. The average win rate is 83% profitable trades, the Sharpe ratio is over 7.

To choose the lot size, an improved Kelly formula is used, which takes the signal from one of the Al trading models. The stop, take profit, and risk sizes can be optimized according to personal preferences and risk level. The Al trading model overcomes the overfitting problem and in the future, new improved models will be presented for other assets.

For training the Al trading model, such technologies as cross-validation, feature engineering, feature clustering, data preprocessing were used. The Al trading model uses a hybrid of regression and classification models in one, which allows it to more effectively predict prices. Several new versions of the Al trading model are developed daily to achieve better results. In the future, it is planned to develop one model for each popular asset. The developer of the Al trading advisor is an author with over 8 years of experience in the market, an expert in financial markets.

For training the Al trading model, prices and their derivatives for the EURUSD pair were used, obtained from the RoboForex broker.

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The Neurolite Expert Advisor offers trade decisions based on a neural network trained on 5-years of real tick data. Trading is performed only on the EUR/USD currency pair. Its main peculiarity is a small amount of input parameters so as to facilitate the working process of users. The Neurolite EA will fine-tune all the parameters for you. This Expert Advisor is based on the previously released Neurolite EA gbpusd , which was adjusted for successful trading on the EUR/USD currency pair. Trading
A scalper system only work during Asian hours. Several unique indicators to detective the price fluctuation. Dynamic TP/SL level according to market conditions. Fixed stoploss to protect the capital, very low risk of losing a lot of money. No need to obtain SET files. The parameters are the same for each currency pair. It is optimized to work on EURAUD . It is recommended to use Eagle Scalper on M15 chart. It is recommended to run it on a real ECN broker with very low spread . It is recommended
TSO Price Channel MT5
Dionisis Nikolopoulos
TSO Price Channel is complete trading strategy focused on creating profit from market volatility. The system takes advantage of the intrinsic tendency of the market to reach its periodic maximum and minimum levels. By allowing the use of multiple instruments, the exposure of the system to any single instrument is reduced. Complete strategy including fully integrated positive and negative management. Works on any instrument. No pending orders placed. Any account size - $1,000+ is recommended. B
Snake EURUSD
Thurau Baerbel
Snake EURUSD Real EA Snake EURUSD Real EA ist ein vollautomatischer Forex Trading Expert Advisor. Der Roboter kann auf jedem Paar laufen, aber die Ergebnisse sind besser bei EURUSD, auf dem M15-Zeitrahmen. Das System kann mit jedem Brokern laufen, die auch Floating Spread bereitstellen. Expert Advisor Vorteile Der EA verwendet keine Systeme wie Martin, Hedging usw.. Der EA verwendet SL und Trailing Stop um Gewinn zu machen. Zusätzlich kann man auch TP einstellen. (Bei mir EURUSD auf 93) Best
Stocks Squeezer
Federico Sbordoni
Follow the STOCKS SQUEEER Signal: https://www.mql5.com/en/signals/503024 STOCKS SQUEEZER is trading system that simultaneously operates on several stocks trying to take advantage of their volatility. The EA opens a position on each stocks specified investing the initial amount of money you have set. The single position is closes it when the calculated take profit is hit. Instead, if the market goes against, the position is increased and the take profit moved properly. This goes on for a str
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Stenco Recover EA
Yevgeniy Koshtenko
Revolutionary Forex expert advisor, built on the principles of the unique Recovery trading system. The key to the effectiveness of this algorithm is the accurate analysis of price behavior near psychologically important round levels. Moreover, the system uses a special price representation in the form of coordinates different from traditional candlestick charts. Main advantages of the advisor: Recovery strategy, based on price recovery High accuracy in identifying key support and resistance leve
FREE
Here is a quantitative analysis indicator for any market. Its essence is simple - it calculates the magnitude of the waves of price movement from top to bottom, and gives the median value of the magnitude of the non-recoil trend. If the current value of the movement has exceeded this threshold by more than 10% (110% of the indicator indicator), you can enter a trade against the trend and work with a large margin of action based on ATR. Transactions are obtained with a high risk-reward ratio and
Hello! The Al trading model was trained on data in Australian dollars, and forward testing began in 2006. Six years of training data correspond to 18 years of test data. The Al trading model uses 99 features, one XGBoost model, and one CatBoost model. The Al trading model was trained on data up to 2006, which allowed it to effectively predict future prices. The forward test outside the training section can be viewed after 2006. The Al trading model uses 99 features that allow it to effectively a
Hello! The Al trading model was trained on Australian dollar data with a forward test starting in 2010. Six years of training data correspond to 18 years of test data. The Al trading model uses 400 features and one XGBoost model and one CatBoost model. The Al trading model was trained on data up to 2010, allowing it to effectively predict future prices. A forward test outside the training section can be viewed after 2010. The Al trading model uses 400 features that allow it to effectively analyz
Hello! The Al trading model was trained on Australian dollar data with a forward test starting in 2015. Six years of training data correspond to 18 years of test data. The Al trading model uses 100 features and one XGBoost model and one CatBoost model. The Al trading model was trained on data up to 2015, allowing it to effectively predict future prices. A forward test outside the training section can be viewed after 2015. The Al trading model uses 100 features that allow it to effectively analyz
Hello! The Al trading model was trained on Australian dollar data, with a forward test starting in 2008. Eight years of training data correspond to 16 years of test data. The Al trading model uses 100 features and employs one XGBoost model and one CatBoost model. The Al trading model was trained on data up to 2008, enabling it to effectively predict future prices. The forward test out of the training segment can be observed after 2008. The Al trading model utilizes 100 features, allowing it to
Trader Zoya's Advisor - The Power of AI Trading We are proud to introduce Zoya, a cutting-edge trading advisor powered by advanced machine learning algorithms. Designed for automated AI trading on the EUR/USD currency pair, this expert advisor has demonstrated impressive results over the course of more than 24 years of testing. At the heart of Zoya's advisor lies a unique machine learning model, trained on historical market data starting from 2007. Despite facing major market disruptions, s
AI Grid Forex Advisor - The Power of AI Trading We are proud to introduce an innovative trading advisor, developed with the application of artificial intelligence (AI) technologies. At the core of our AI advisor lies a unique neural network model, mathematically based on a classification method developed by Soviet mathematicians. This model allows for the identification of complex nonlinear patterns in the currency market and the formulation of highly effective trading decisions. A key fe
This is an expert advisor that combines advanced automated trading technologies. A unique algorithm based on machine learning and artificial intelligence models allows real-time market analysis and well-balanced trading decisions. Key features: System that adapts to changing market conditions Utilization of a averaging strategy to minimize risks High entry accuracy, confirmed by successful testing since 2008 Stable profitability, 67% profitable trades Sharpe ratio over 1, indicating efficient ri
Neuronales Netzwerk-Expertberater von einem erfahrenen Entwickler und Trader mit 8 Jahren Markterfahrung.  Dieses hochleistungsfähige Robotic-System nutzt Technologie neuronaler Netze zur Analyse von Marktdaten und zur Entscheidungsfindung für den Handel. Das neuronale Netzwerkmodell wurde auf historischen Daten des Währungspaares EURCHF von 2000 bis 2010 trainiert. Gemäß Backtests auf historischen Daten zeigt das System beeindruckende Ergebnisse: Maximaler Drawdown - 7% Sharpe-Ratio
The classification model for MQL5 is a highly efficient tool for stable trading, based on a quality neural network and a variety of multidimensional features for model training. This model has ensured stable trading since 2007 and has passed a forward test since 2015, confirming its reliability and effectiveness. The use of a variety of multidimensional features allows for high accuracy in forecasts and optimal trading decisions. At the core of the robot is a quality neural network that ensures
MQL5 - a machine learning model for prop trading, developed by a real trader with over 8 years of experience and extensive experience in algorithmic trading. The model works on the euro/dollar pair in the hourly timeframe. The model was trained on a history segment from 2000 to 2010 and has been successfully operating on a real prop firm account with live monitoring. Our model is excellently stable to new data, avoids over-optimization and overfitting, passes shuffle tests, walk-forward tests, M
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