(English Version Below)

No martingale or hedging strategies are used on the premise of unlimited funds. The maximum drawdown is limited to 23 pips, designed and optimized based on AI learning. 

Listings by top-level AI researchers and numerous papers at leading AI international conferences (ICML, KDD, EMNLP, ECCV, etc.)

🎉First 10 customers only! JPY 40,000!
🔥From the 11th, JPY 80,000! Get it early!

This system is a next-generation FX trading system that analyzes the market and executes automated trades using ensemble learning that combines multiple AI models.

In development, we used several millions of forex market data as training data to analyze price fluctuations, trends, volatility, and changes in market structure. Rather than relying on a single trading rule or a few technical indicators, multiple AI models each evaluate the market and their results are integrated to make the final trading decision.

As shown in the figure above, this system executes trades in the following flow.

① Large-Scale Market Data Analysis

DeepAgent FX learns from millions of market data and analyzes diverse market environments.

Not only price movements, but also

• Price structure
• Trend strength, volatility
• Market regime
• Momentum
• Liquidity

The AI comprehensively understands the characteristics of the entire market. This information forms the basis for all subsequent buy/sell decisions.

② Trend Policy Engine

Before AI makes judgments, a proprietary Trend Policy Engine generates trading candidates.

The engine continuously analyzes market conditions and

• Trend continuation
• Pullbacks and rebounds
• Breakouts
• Market structure
• Entry timing
• Risk conditions

and evaluates them.

Only candidates that meet certain conditions are subjected to AI evaluation.

③ AI Ensemble Evaluation

DeepAgent FX uses ensemble learning that combines multiple machine learning models, not just a single AI model.

Each AI evaluates from different perspectives,

• Win rate
• Risk-reward
• Market confidence
• Compatibility with market environment
• Similarity to past patterns

to assess.

The final trading decision is determined by consensus among multiple AIs.

④ AI Confidence Scoring

All trading candidates are given an AI confidence score. Only signals that meet a certain level of confidence are adopted; others are automatically excluded.

This aims to reduce unnecessary trades and focus on higher-expected-value trades.

⑤ Dynamic Position Optimization

DeepAgent FX does not operate with fixed lots.

According to AI confidence and market conditions,

• Lot size
• Position ratio
• Risk allocation
• Profit management

are optimized in real time.

Higher confidence leads to more active trading, while lower confidence is more conservative.

⑥ Live Trade Execution

Only signals that have passed all decision layers are automatically executed on MT5.

Even after trading starts, we continuously perform

• Order management
• Stop-loss management
• Trailing management
• Position monitoring

to respond to market changes.

Continuous Learning Loop

In the research version of DeepAgent FX, unlike fixed-parameter EAs, actual market data and trading results are continuously reflected in learning.

By adapting to market changes and continuously improving AI models, we aim to enhance long-term performance.

※The commercial version uses fixed pretrained models.

Multiple AI models consider and render a single trading decision,a trading agent learned from vast market data.

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This EA uses no Martingale, no hedging, and has a maximum stop loss of only 23 pips. The strategy is fully AI-trained. 

Developed by  Top AI Researchers ｜Author of Multiple Papers at Leading AI Conferences　(ICML • KDD • EMNLP • ECCV etc.)

🎉Special Launch Offer!
     First 10 Customers: JPY 40,000🔥Starting from the 11th Customer: JPY 80,000

DeepAgent FX is a next-generation automated trading system that leverages an ensemble of AI models to analyze financial markets and execute trades autonomously.

The system has been trained on millions of historical market observations, capturing patterns in price movements, trends, volatility, and changing market conditions. Rather than relying on a single trading rule or a handful of technical indicators, multiple AI models independently evaluate market signals and collectively contribute to the final trading decision.

① Large-Scale Market Data Analysis

DeepAgent FX is trained on millions of historical market records covering different market environments.

Rather than simply learning whether the market goes up or down, the system first extracts higher-level market characteristics including:

• Price Structure
• Trend Strength
• Volatility Regime
• Market Momentum
• Liquidity Conditions

These market representations provide the foundation for every trading decision.

② Trend Policy Engine

Before AI begins making predictions, a proprietary Trend Policy Engine generates candidate trading opportunities.

Instead of opening trades randomly, the engine continuously evaluates:

• Trend Continuation
• Pullback Quality
• Breakout Confirmation
• Market Structure
• Entry Timing
• Trading Constraints

Only qualified trading candidates proceed to the AI evaluation stage.

③ AI Ensemble Filtering

Rather than relying on a single AI model, DeepAgent FX combines multiple machine learning models through an ensemble architecture.

Each model evaluates the same opportunity from a different perspective, including:

• Win Probability
• Market Confidence
• Expected Reward
• Risk Assessment
• Historical Pattern Similarity

The final decision is produced through an ensemble consensus process, reducing overfitting while improving robustness.

④ Trade Confidence Scoring

Every candidate trade receives an AI confidence score.

Only opportunities that exceed predefined confidence requirements are allowed to enter the market.

This additional filtering layer significantly reduces unnecessary trades and focuses execution on higher-quality opportunities.

⑤ Dynamic Position Sizing

DeepAgent FX dynamically adjusts trading exposure according to market conditions.

Instead of using a fixed lot size, the system continuously optimizes:

• Position Size
• Maximum Exposure
• Risk Allocation
• Trade Management

Higher-confidence opportunities may receive larger allocations, while uncertain conditions are traded more conservatively.

⑥ Live Trading Execution

Once all decision layers are satisfied, DeepAgent FX automatically executes trades on MT5.

During live execution, multiple risk management modules continue monitoring:

• Order Execution
• Stop-Loss Management
• Trailing Protection
• Position Monitoring

The objective is not only to identify profitable opportunities but also to preserve capital under changing market conditions.

Continuous Learning Loop

Unlike traditional Expert Advisors with permanently fixed parameters, the research version of DeepAgent FX continuously incorporates newly observed market data into the training pipeline.

By adapting to market changes and continuously improving AI models, we aim to enhance long-term performance.

(The marketplace version uses a fixed trained model, while the internal research version is periodically updated.)

Finally, our DeepAgent FX was built on multiple AI models with one trading decision trained on Large-Scale Market Data.