AI based Machine Learning Expert Advisor EA Trained over 10 years of market data available for MT4 MT5 TradingView Tradestation Tradelocker cTrader
$199.00
4xPip offers a fully AI Based Expert Advisor EA trained over 10 years of historical market dataset using Machine Learning algorithms. Our AI EA is developed using advanced Machine Learning, Deep Learning, and Reinforcement Learning models. You can either purchase a ready-made AI EA or get your EA trained according to your own indicators and dataset of your choice. The Artificial Intelligence EA places accurate Buy Sell trades, set optimized Stop Loss and Take Profit levels according to market needs. The AI EA works on all markets including Forex, Stocks, Crypto, Commodities and Indices for 24×7 without any manual interruption and supports all brokers and all account types including ECN, Standard, Hedging, Raw Spread, Cents, Zero, Micro, Premium and Pro. The Artificial Intelligence EA is available for MT4, MT5, TradingView, Tradestation, Tradelocker and cTrader.
Description
The development of an AI Based Trading Robot is an advanced technique where an AI model is trained using 10 years of historical market data via supervised learning. The EA learns all the candlestick patterns of last 10 years of market data and recognizes patterns that create uptrend, downtrend, market gaps, supply demand and reversals. The 10 years of history data becomes even more powerful when we combine it with technical indicators and News Events. In this way, the Artificial Intelligence EA makes 99% accurate decisions based on candlestick patterns, technical indicators and News movements. In trading, the News events are major cause of disruptions in the market that is why it is very important for the AI EA to consider news events before placing a trade or exiting a trade. The EA analyzes past performance of News events and predicts if same News events repeats in the future the same market movement will occur.
This forex AI EA is not just coded with fixed conditions; it is trained on real historical market data using Machine Learning (ML), Deep Learning (DL), and Reinforcement Learning (RL) techniques to intelligently predict profitable trade entries and exits. We train the EA on multiple Artificial Intelligence algorithms and test its performance. Then we pick the best performing AI model that generates highest profit with lowest drawdown.
This AI MQL EA has been built after decades of experience that makes it possible to make above 90% profitability in trading market by keeping the lowest risk. We have recently achieved 93% profitability using 40 patterns of LSTM AI algorithm.
10+ years of historical dataset for EA training using Artificial Intelligence algorithms
The 10+ years of market data which is used to train AI based EA includes following 3 datasets trained over all currencies and all timeframes:
1. Data of each Candle
| Data Point | Description |
| OHLCV | Open, Close, High, Low, Volume |
| Timestamps | Date and Time stamps for pattern recognition |
| Currency Pairs | All major and minor currency pairs |
| Timeframes | All major and minor currency pairs |
The above candlestick data (Currency, Timeframe, Time, Open, High, Low, Close and Volume) is used to build a model (AI EA) that learns from past market behavior and creates its strategy for future market behavior. The AI EA gets re-trained itself automatically as soon as the new candles are formed, this re-training keeps the EA updated with the market movement, makes the EA even more powerful to take even better trade entries and exits. The EA understands where to Buy or Sell, and automatically sets the optimal Stop Loss (SL) and Take Profit (TP) levels to reduce unnecessary losses and lock in profits.
2. Data of Technical indicators
The Currency, Timeframe, Time, Open, High, Low, Close and Volume of each candle is alone not enough. We integrate technical indicators data into the 10 years historical dataset of EA training. The technical indicators use mathematical formulas to predict trend in a trading market. When EA is trained over some technical indicators, it makes the AI MetaTrader EA more powerful and accurate to predict Buy, Sell, Entry, Exits, Stoploss and Takeprofit levels.
The list of technical indicators that generates good Artificial Intelligence results include:
- RSI (Relative Strength Index)
- MACD (Moving Average Convergence Divergence)
- Moving Averages (SMA, EMA, LWMA, SMMA)
- Bollinger Bands
- Stochastic Oscillator
- Envelopes
- Ichimoku Kinko Hyo
- Parabolic SAR
- Support & Resistance Levels
- Average True Range
- Custom Indicators (upon request)
With the addition of technical indicators, the 10 years of training dataset becomes even more accurate because now AI forex EA can rely on candlestick patterns, technical indicators and News Events to make better trade entry and trade exits. The AI EA (available for MQL4 & MQL5) also uses volume, standard deviation and ATR values of 10 years history data to predict StopLoss and Takeprofit for future market.
This data is exported across all major currency pairs and timeframes. The large amount of data enables the MQL4 EA to train more powerfully / robustly to generate maximum accuracy and consistency. The more candlestick patterns MQL5 EA analyzes, the more intelligent it becomes.
3. Data of News Events
The AI EA is trained to detect and respond to economic News events calendar such as elections, interest rate changes, Claimant Count Change, CPI m/m, FOMC Meeting Minutes, Employment Change, Unemployment Claims, German Flash Manufacturing Services PMI or major announcements by learning how past events affected market movement. For example, if it detects a pattern that markets go bullish during election seasons, it will learn to place Buy trades automatically during similar upcoming (future) events. Similarly, when AI based EA detects a dangerous news pattern, the AI EA try to avoid it.
The historical news events data helps the EA to detect what impact each upcoming news events can create on market. The AI EA learns to place Buy / Sell trades exactly where the probability of profit is high based on past trends, real-time indicator values and news events.
The AI automatically sets Stop Loss and Take Profit levels at the most optimized values, minimizing risk and maximizing profit without manual intervention. AI detects market patterns, news events and predicts the future market candles according to past performance of last 10 years. The more history data an EA analyzes the more powerful it becomes by going through a lot of experiences.
AI Models Available for Training of Expert Advisor
Some of the famous AI models are enlisted below that provide accurate results during live market. Choosing a right model for supervised learning depends on the dataset, type of market, and client requirements. We build the EA using one or more of the following advanced AI methodologies:
1. Machine Learning (ML) Models
Machine Learning is Pattern based decision making algorithm that has two layers of neural network enabling the EA to identify candle patterns and learn rules from data using statistical algorithms.
| Model | Best For | Description |
| Decision Trees | Simple rule-based trading | Creates a tree-like model of decisions based on feature conditions. Excellent for understanding why a trade was placed. |
| Random Forest | Robust predictions | Ensemble of multiple decision trees that vote on outcomes. Reduces overfitting and improves accuracy. |
| Support Vector Machines (SVM) | High-dimensional data | Finds optimal boundaries between buy/sell decisions in complex feature spaces. Great for indicator-heavy strategies. |
| Gradient Boosting (XGBoost / LightGBM) | Competition-grade accuracy | Sequentially builds models to correct previous errors. Industry standard for tabular trading data. |
| K-Nearest Neighbors (KNN) | Pattern matching | Classifies trades based on similarity to past successful patterns. Ideal for cyclical market behavior. |
Best Use Case: Pattern-based decision making where interpretability is important.
XGBoost works good on forex trading.
2. Deep Learning (DL) Models
Deep Learning is multi-layer neural network for complex decision-making, especially when indicators are used across multiple timeframes.
| Model | Best For | Description |
| Feedforward Neural Networks (FNN) | General price prediction | Basic neural architecture that processes input features through hidden layers to predict buy/sell signals. |
| Convolutional Neural Networks (CNN) | Chart pattern recognition | Specialized for identifying visual patterns in candlestick charts and price formations like head & shoulders, flags. |
| Recurrent Neural Networks (RNN) | Sequential data | Processes time-series data by maintaining memory of previous price movements. Understands market momentum. |
| Long Short-Term Memory (LSTM) | Long-term dependencies | Advanced RNN that remembers important patterns over extended periods. Excellent for trend following strategies. |
| Gated Recurrent Units (GRU) | Faster training | Simplified LSTM with fewer parameters. Faster to train while maintaining strong sequence modeling. |
| Attention-Based Transformers | Multi-timeframe analysis | State-of-the-art architecture that focuses on the most relevant parts of historical data. Industry-leading performance. |
| Autoencoders | Anomaly detection | Learns compressed representations of normal market conditions. Alerts on unusual market behavior. |
Best Use Case: Multi-layered strategy handling with complex indicator combinations across timeframes. LSTM works best in trend trading because it recognizes candlestick patterns of multiple candles e.g. 5, 10, 20, 30 or 40 candles and then makes decisions.
3. Reinforcement Learning (RL) Models
Reinforcement Learning is self improving model that enables the EA to learn by trial and error, improving performance based on reward or punishment systems. This is ideal for live trading environments where the EA adapts over time based on the profit or loss EA has made. If the certain candle pattern makes profit for EA, the Reinforcement model repeats the mechanism next time. Similarly, If the EA makes a loss, the Reinforcement model avoids that losing pattern next time and try to recover the loss.
| Model | Best For | Description |
| Deep Q-Networks (DQN) | Discrete actions | Learns optimal buy / sell / hold decisions by maximizing cumulative rewards. Foundation of modern trading AI. |
| Double DQN | Reduced overestimation | Improved DQN that provides more stable and accurate value estimates for trading decisions. |
| Dueling DQN | Value assessment | Separates state value from action advantage. Better at understanding when NOT to trade. |
| Policy Gradient (PG) | Continuous actions | Directly optimizes trading policy. Excellent for position sizing and risk management. |
| Proximal Policy Optimization (PPO) | Stable learning | Industry-standard RL algorithm with stable training. Widely used in professional algorithmic trading. |
| Actor-Critic (A2C/A3C) | Parallel learning | Combines value and policy learning for faster convergence. Efficient for multi-currency training. |
| Soft Actor-Critic (SAC) | Risk-adjusted returns | Optimizes for both performance and exploration. Generates diverse trading strategies. |
Best Use Case: Self-improving logic based on real trading outcomes, adapting to changing market conditions.
We train the Expert Advisor with 10+ years of historical dataset with multiple algorithms from Machine Learning, Deep Learning and Reinforcement Learning. Then we test the EA profitability with each AI algorithm and present to our clients to choose the best AI algorithm that generates highest profit with minimum drawdown. In our recent training the LSTM (Long Short Term Memory) with 40 candlestick patterns worked best for Gold with 99% accuracy and 90%+ profitability.
We (as forexpip programmers) enable Artificial Intelligence EA to evolve over time as new market data comes in. The AI EA retrains itself automatically with fresh market data in the future to adapt to new market behaviors.
The AI based EA robot works on all the market conditions trending, ranging, breakout, reversals and consolidation etc. because EA has been trained with 10 years of excessive datasets that includes a lot of trading experience to teach EA how to behave profitably in each market conditions.
The AI based EA robot works on all the Currency pairs and timeframes EURUSD, GBPUSD, USDJPY, XAUUSD Gold, BTCUSD, USD100, USD30, S&P500 etc. because EA has been trained with 10 years of excessive datasets that includes a lot of trading experience to teach EA how to behave profitably in each market pair.
The AI based EA robot works on all the brokers and account types such as ECN, Standard, Hedging, Raw Spread, Cents, Zero, Micro, Premium and Pro etc. because EA has been trained with 10 years of excessive datasets that includes a lot of trading experience to teach EA how to behave profitably on each account with any leverage and any spread.
After training, your EA can achieve over 90% (guaranteed) profitability and up to 99% trade placement AI accuracy. We shall train your EA using multiple AI algorithms and pick the best one which generates highest profits with minimum drawdown.
Deployment of Artificial Intelligence EA robot after Training on 10+ years of dataset
We offer flexible AI deployment solutions to match your trading infrastructure and platform requirements:
1. ONNX Integration
The Open Neural Network Exchange (ONNX) is the gold standard for deploying AI models directly within MetaTrader 5.
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Native Integration: ONNX models run directly inside MT5, eliminating the need for external tools or bridges.
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Ultra-Low Latency: All inference is processed locally on your machine, ensuring fast execution with zero network delays.
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Cross-Platform Training: Train models using Python frameworks like TensorFlow or PyTorch, then deploy seamlessly into MT5.
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No Server Required: Your Expert Advisor operates independently without relying on external servers or APIs.
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Full Portability: Easily transfer and run your EA on any MT5 terminal without additional setup.
How It Works:
- We collect and normalize the 10 years of historical market dataset
- We train AI model using Python and AI libraries
- The AI model is exported to ONNX format
- The EA loads and executes the ONNX model natively within MT5
- The EA makes predictions (Buy / Sell / Hold, SL / TP levels) in milliseconds with no external calls
Best Use Case for ONNX: Traders who want maximum speed, privacy, and independence from internet connectivity.
2. Hugging Face Cloud Deployment (MT4 & MT5)
Most Popular Cloud Deployment options are:
- Hugging Face Hub (Free Tier): For testing and low-frequency trading
- Inference Endpoints (Dedicated): Private, scalable endpoints for production
- Spaces (Interactive): Dashboard to monitor and fine-tune your model
Hugging Face is the world’s leading AI model hosting platform, offering enterprise-grade infrastructure for serving AI models via API.
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Enterprise Reliability: Ensures consistent performance with a 99.9% uptime SLA backed by a global CDN.
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Scalable Infrastructure: Automatically adjusts resources to handle any trading volume without performance drops.
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Model Versioning: Enables easy A/B testing and seamless model updates without modifying your EA.
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GPU Acceleration: Leverages high-performance hardware to efficiently run complex deep learning models.
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API-Based Access: Provides flexible integration, allowing compatibility with both MT4 and MT5 platforms.
How It Works:
- We collect and normalize the 10 years of historical market dataset
- We train AI model using Python and AI libraries
- We deploy your trained model to Hugging Face Inference API
- Your EA sends market data to the API endpoint
- The model returns predictions (Buy / Sell / Hold, SL / TP levels)
- EA executes trades based on AI recommendations
Best Use Case for Hugging face deployment: Traders wanting cloud-based flexibility, easy updates, and compatibility with MT4 and MT5.
3. Local Server Deployment (MT4 & MT5)
For traders who require maximum control and data privacy, we offer local server deployment of AI models.
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Complete Privacy: Your trading data stays fully secure within your own network — nothing is sent externally.
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Zero Latency: Direct local inference ensures the fastest possible execution with no network delays.
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No Subscription Fees: One-time setup with no ongoing API or cloud service costs.
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Offline Capability: Continue trading even without an internet connection after the initial setup.
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Full Customization: Adjust and fine-tune inference parameters anytime to match your strategy.
Supported Frameworks:
- Flask / FastAPI Server: Lightweight Python API server
- TensorFlow Serving: Production-grade model serving
- ONNX Runtime Server: High-performance ONNX inference
- TorchServe: PyTorch model deployment
How It Works:
- We collect and normalize the 10 years of historical market dataset
- We train AI model using Python and AI libraries
- We set up a local inference server on your VPS or personal machine / computer
- Your EA communicates with the local API (localhost or LAN)
- AI predictions (Buy / Sell / Hold, SL, TP levels) are generated locally with sub-millisecond latency (extremely fast)
- Full control over model updates and maintenance
System Requirements:
- Windows/Linux VPS or dedicated machine
- 4GB+ RAM (8GB+ recommended for deep learning models)
- Python 3.8+ runtime environment
Best Use Case for Local server deployment: Traders prioritizing data privacy, low latency, and full operational control.
Deployment Comparison Matrix for Artificial Intelligence EA
| Feature | ONNX | Hugging Face | Local Server |
| Platform Support | MT5 Only | MT4 & MT5 | MT4 & MT5 |
| Latency | Ultra-Low | Network Dependent | Very Low |
| Internet Required | No | Yes | No (after setup) |
| Setup Complexity | Low | Low | Medium |
| Recurring Costs | None | API Usage Fees | Server/VPS Costs |
| Scalability | Limited by PC | Unlimited | Hardware Dependent |
| Model Updates | Requires EA Update | Instant via Cloud | Manual Update |
| Data Privacy | Complete | Cloud-Based | Complete |
| Best For | Speed & Simplicity | Flexibility & Scale | Privacy & Control |
Technical Formulas Used in Training of Expert Advisor
The AI Based Expert Advisor is trained using advanced algorithms based on the following core formulas and models:
Sigmoid Function (used in Machine Learning & Deep Learning)
The sigmoid helps the AI make yes/no decisions (buy/sell). It converts output into a range between 0 and 1.
σ(x) = 1 / (1 + e^(-x))
The Sigmoid is used to control how strongly the AI reacts to market signals.
Neural Network Layers (Deep Learning)
The Deep Learning based AI EA uses multiple layers of artificial neurons (neural network) to understand complex patterns in market data.
Z = (w₁·x₁ + w₂·x₂ + … + wₙ·xₙ) + bA = Activation(Z)
Each neuron layer processes inputs like price, volume, or indicators.
Reward Function (Reinforcement Learning)
The EA learns from outcomes. Every profitable trade increases the model’s confidence.
Reward = Profit – Loss – Risk Penalty
Reinforcement learning helps the EA avoid risky trades and focus on what works.
Loss Function (Used in all AI Models)
During training, the model checks how far off it is from the correct result:
Loss = (Predicted Value – Actual Value)²
The Lower loss means better performance. The AI continuously minimizes loss during training of dataset.
How to Trade
The Artificial Intelligence EA is trained over 10+ years of historical dataset, it takes trades automatically based on market movement by comparing it to past market movements and what results similar market has generated in the past 10 years. The EA places Buy, Sell trades automatically with optimum Stoploss, Takeprofit levels. There is no human involvement required, you can just install the EA onto the chart and let the EA decide everything.
The Engineers of forexpip will help you to install Artificial Intelligence model, EA and establish their connection. We offer FREE customer support to help every trader with installation and setting up the EA. Even traders with No technical backgrounds can also operate this Expert Advisor.
Advantages
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Automatic Trading: Runs 24/7 without manual intervention, executing trades with precision and consistency.
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Data-Driven Decisions: Every trade is based on analysis of over 10+ years of historical market data.
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Powerful AI Training Dataset: Trained on a rich dataset including candlestick patterns, technical indicators, and historical news events.
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Smart Trade Entries: Uses AI to identify high-probability Buy and Sell opportunities.
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Optimized Risk Management: Automatically calculates ideal Stop Loss (SL) and Take Profit (TP) levels.
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Custom Training: The EA can be trained on your specific strategies, indicators, and trading rules.
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Multi-Currency Compatibility: Designed to perform across all currency pairs, timeframes, and market types.
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Works on All Brokers and Accounts: Compatible with all brokers and account types including Standard, ECN, RAW, Micro, and PRO.
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Works in All Market Conditions: Performs in ranging, trending, consolidation, and reversal markets.
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Adaptive Learning: Continuously improves performance using reinforcement learning (RL) techniques.
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News Sensitivity: Reacts intelligently to major economic news and market-moving events.
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Technical Indicator Integration: Supports all major indicators like RSI, MACD, Bollinger Bands, and Stochastic, including custom indicators.
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AI-Based Risk Management: Offers Conservative, Normal, and Aggressive risk modes without using martingale strategies.
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No Martingale – Pure AI Logic: Executes trades purely based on AI models without relying on martingale or grid systems.
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Multi-Platform Availability: Available for MT4, MT5, TradingView, TradeStation, TradeLocker, and cTrader.
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High Accuracy: Utilizes advanced AI models designed for high-precision trade predictions.
Conclusion
The future of trading is intelligent, automated, and data-driven and this AI Based Machine Learning Expert Advisor puts that power directly in your hands.
Built on 10+ years of historical market data and trained using advanced AI algorithms including Machine Learning, Deep Learning, and Reinforcement Learning, this Expert Advisor is designed to identify high profitable trading opportunities with precision and speed. It doesn’t rely on simple fixed rules it learns from past patterns, adapts to changing market behavior, and evolves with new data. This AI based EA robot is trained over 10+ years of dataset that has enough experience to teach EA how to behave profitably in each market condition, all the brokers, all the currency pairs, all the timeframes, any leverage and spread conditions.
Whether you are trading Forex, Gold, Indices, Stocks, Commodities or Crypto, this AI EA provides:
- Fully automated AI based trade execution 24×7
- AI based news analysis
- AI based Intelligent Stop Loss and Take Profit optimization
- Guaranteed 90%+ profitability
- Flexible deployment (ONNX, Cloud, or Local Server)
- Custom AI training based on your own strategy
This is more than just an Expert Advisor it is a professionally engineered AI trading solution designed for traders who want to take advantage of modern Artificial Intelligence models instead of outdated strategies. It is available across all platforms MT4 (MQL4), MT5 (MQL5), TradingView, Tradestation, Tradelocker, cTrader. If you are ready to move beyond traditional EAs and upgrade to an advanced AI powered trading system, this is your opportunity.
Let artificial intelligence work for you while you focus on growing your capital.
Contact us now to purchase Artificial Intelligence EA Robot from 4xpip.
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46 reviews for AI based Machine Learning Expert Advisor EA Trained over 10 years of market data available for MT4 MT5 TradingView Tradestation Tradelocker cTrader
| 5 star | 84% | |
| 4 star | 15% | |
| 3 star | 0% | |
| 2 star | 0% | |
| 1 star | 0% |








The combination of machine learning with sensible risk management stands out. I appreciate not having to babysit the market constantly anymore. Good addition to my trading toolkit
The EA’s ability to adjust to changing volatility helped me avoid some costly whipsaws. It’s not a black box — but it’s smart and practical
I’ve noticed that it avoids obvious noise that used to trigger my old robots. Less stress and more quality setups — I’d recommend it to serious traders
As someone who doesn’t code, this EA was surprisingly straightforward to get running. It has improved my trading entries, and the ML logic feels genuinely adaptive
I trade forex and crypto with this EA and it’s performed well across both markets. Not perfect, but better than many systems I’ve wasted money on