信号
添加小工具
规则
分配
| 交易品种 | 交易 | Sell | Buy | |
|---|---|---|---|---|
| EURJPYm | 3 | |||
| EURCADm | 2 | |||
| GBPUSDm | 1 | |||
| USDJPYm | 1 | |||
| EURUSDm | 1 | |||
|
1
2
3
|
1
2
3
|
1
2
3
|
| 交易品种 | 毛利, USD | 损失, USD | 利润, USD | |
|---|---|---|---|---|
| EURJPYm | -1 | |||
| EURCADm | 1 | |||
| GBPUSDm | -3 | |||
| USDJPYm | -3 | |||
| EURUSDm | -4 | |||
|
1
2
3
4
5
6
7
8
9
|
1
2
3
4
5
6
7
8
9
|
1
2
3
4
5
6
7
8
9
|
| 交易品种 | 毛利, pips | 损失, pips | 利润, pips | |
|---|---|---|---|---|
| EURJPYm | -149 | |||
| EURCADm | 151 | |||
| GBPUSDm | -297 | |||
| USDJPYm | -497 | |||
| EURUSDm | -369 | |||
|
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2K
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250
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1.5K
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2K
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- 入金加载
- 提取
基于有关不同交易商真实账户的执行统计的平均滑移点按点数指定。它取决于 Exness-MT5Real 提供商以及订阅者之间不同的报价，以及订单执行的延迟。值越低意味着复制的质量越高。
无数据
Overview
This Expert Advisor combines a rules-based technical engine with an integrated AI decision layer to identify high-probability trade setups across multiple currency pairs. Every potential entry passes through several independent layers of validation before execution, filtering out low-quality signals and reducing exposure during unfavorable market conditions.
Key Features
- Multi-pair architecture with individually calibrated settings per currency pair, refined through extensive historical testing
- AI-assisted signal confirmation layer to improve entry quality
- Multiple independent filtering stages to reduce false signals
- Automatic risk management with dynamic position sizing
- Built-in protective mechanisms to help control drawdown
- Time-based and volatility-based trade filtering for improved consistency
Why This EA
Unlike generic one-size-fits-all systems, this EA is built around the idea that every currency pair behaves differently. Each configuration is the result of extensive backtesting and optimization, rather than a single strategy applied blindly across all markets.
Recommendations
- Recommended timeframe: M15
- Use on a demo account first to familiarize yourself with the system's behavior
- VPS recommended for uninterrupted 24/5 operation
Important Notes
Past performance based on historical testing does not guarantee future results. Always test thoroughly on a demo account before live deployment.