EvoTrade EA MT5
- Experts
- Dolores Martin Munoz
- Version: 1.8
- Updated: 29 July 2025
- Activations: 10
EvoTrade: The First Self-Learning Trading System on the Market
Allow me to introduce EvoTrade—a unique trading advisor built using cutting-edge technologies in computer vision and data analysis. It is the first self-learning trading system on the market, operating in real-time. EvoTrade analyzes market conditions, adapts strategies, and dynamically adjusts to changes, delivering exceptional precision in any environment.
EvoTrade employs advanced neural networks, including Long Short-Term Memory (LSTM) and Gated Recurrent Units (GRU) for analyzing temporal dependencies, Convolutional Neural Networks (CNN) for detecting complex market patterns, and reinforcement learning algorithms such as Proximal Policy Optimization (PPO) and Deep Q-Learning for real-time strategy adaptation. These technologies enable EvoTrade to uncover hidden market signals and fine-tune its actions to match the current market dynamics.
After each trade, EvoTrade re-evaluates its approach, automatically updating parameters like take-profit and stop-loss levels. The system's mission is not just to react to changes but to continuously refine its trading strategies, ensuring relevance and efficiency in any market conditions.
Why Choose the EVOTRADE Expert Advisor for Your Trading.
The price of the trading advisor will skyrocket in direct proportion to the growth of its live signal.
Technological Architecture of EvoTrade
Deep Neural Networks
At the core of EvoTrade lies a multi-layer neural network designed using a hybrid architecture. Convolutional Neural Networks (CNN) process spatial dependencies in market data, while recurrent networks like Long Short-Term Memory (LSTM) and Gated Recurrent Units (GRU) handle temporal dependencies. This enables the system to account for both current and historical market patterns to forecast price movements effectively.
Reinforcement Learning Models
EvoTrade employs methods such as Proximal Policy Optimization (PPO) and Deep Q-Learning (DQL) to learn optimal strategies in a constantly changing market environment. These algorithms simulate and test strategies in environments modeled after real-world conditions, ensuring adaptability and efficiency.
Natural Language Processing (NLP)
The advisor uses advanced NLP models like BERT and GPT to analyze the sentiment of news articles, corporate reports, and social media. This allows EvoTrade to assess macroeconomic risks, consider the market’s emotional context, and produce more accurate predictions.
Genetic Algorithms
To optimize trading parameters, EvoTrade utilizes genetic algorithms that evaluate thousands of scenarios, generate the best strategies, and adjust trade parameters in real time.
Integration of Explainable AI (XAI)
All decisions made by EvoTrade are accompanied by detailed reports based on Explainable AI methods. This transparency allows users to understand the reasoning behind each prediction and make data-driven decisions.
Important Disclosure: Authenticity and Innovation at the Core of EvoTrade
EvoTrade is not just a trading advisor; it is a revolutionary system that integrates cutting-edge artificial intelligence and data analysis technologies. Its capabilities go far beyond the standard approaches used in historical data testing. While it might be tempting to produce flawless backtesting results, this would not reflect the true essence and potential of EvoTrade.
We intentionally avoid manipulating test data, as it cannot fully demonstrate the core features of EvoTrade. Over 60% of the advisor's capabilities are revealed only in live market conditions, including adaptive interaction with deep learning algorithms, real-time continuous learning, and advanced risk management modules.
The Advisor Always Uses New Parameters After Each Trade
A standout feature of EvoTrade is its ability to automatically recalculate and adjust parameters after every trade, including take-profit (TP) and stop-loss (SL) levels. The system evaluates hundreds of possible scenarios, analyzes current market conditions, and dynamically selects the most effective settings for subsequent trades. This ensures that the strategy always aligns with the latest trends and the ever-changing dynamics of the market.
Additionally, EvoTrade processes data from over 100 sources, leveraging computer vision algorithms to identify unique market patterns and Natural Language Processing (NLP) technologies to analyze market sentiment.
EvoTrade is designed for real-world trading, where precision in forecasting and adaptability to market changes are critical. This adaptability positions it as an unparalleled tool, setting new standards in automated trading.
EvoTrade is not just a program; it is your partner in achieving consistent success in the financial markets.
Technical Specifications
- Currency Pairs: XAUUSD
- Timeframes: H1
- Minimum Deposit: $100
- Recommended Account Type: ECN or Raw Spread
- Leverage: From 1:30 to 1:1000
Key Features of EvoTrade EA
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Self-Learning Neural Network:
- After each trade, EvoTrade analyzes its results and automatically recalculates key parameters such as take-profit (TP) and stop-loss (SL), adapting its strategy to current market conditions.
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Deep Data Analysis:
- Integrated machine learning modules enable the advisor to identify complex market patterns, predict price movements, and adapt to market dynamics.
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Dynamic Risk Management:
- EvoTrade employs intelligent lot size calculation, which adjusts automatically based on account balance and market volatility.
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Ease of Setup:
- Optimized default settings allow EvoTrade to be launched without complex configuration, making it suitable for both beginners and experienced traders.
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Transparency and Realism:
- All backtesting results accurately reflect real trading conditions, providing traders with predictability and system reliability.
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Compatibility with Multiple Platforms:
- EvoTrade seamlessly operates with most brokers and account types, including micro and standard accounts.
Disclaimer
Although EvoTrade EA is designed for long-term performance and adaptability, it is important to remember that Forex trading carries inherent risks. Always use the EA responsibly and ensure your trading aligns with your personal risk tolerance.
There are not many automated trading programs based on neural network systems,I have been very eager to have a good tool.This tool is my choice. The neural network system is a very complex program.It is really not easy to understand.However, its profitability is still relatively strong in the process.The winning rate is extremely high. I still recommend buying this product.In fact, the bigger reason for the big withdrawal is that the risk level setting is too high. I also hope that the author can reduce the size of this fixed stop loss,After all, a loss will take a long time to recover.But on the whole, this work is still very good.It's hard to hide his light