Monetears Neural Network AI
- Experts
- Version: 3.0
- Activations: 5
Built on a proven, safe foundation
- ✅ ATR-based stops — stop loss and take profit automatically adjust to each instrument's volatility
- ✅ Smart spread protection — skips trading when the spread is too wide (news, rollover)
- ✅ SMA trend filter — optional moving average filter keeps trades in the direction of the main trend
- ✅ Broker-safe orders — respects stop levels, tick size, volume steps, and margin requirements
- ✅ One position at a time — no over-trading, no grid, no martingale
Key Advantages
🧠 Self-learning — adapts to any symbol: forex, gold, indices, crypto
⚡ Fully automatic — set it on the chart and it trades, learns, and manages itself
🛡️ Risk first — every trade has a stop loss; position sizing follows your settings
🔧 No coding needed — all settings adjustable from the inputs panel
💻 Lightweight — pure MQL5, no Python, no DLLs, no external tools
Input Parameters
| Parameter | Default | Description |
|---|---|---|
| **InpLots** | 0.01 | Trade volume in lots. Automatically snapped to your broker's minimum, maximum, and step size. |
| **InpMAPeriod** | 100 | SMA period used for the trend filter. |
| **InpUseMAFilter** | true | If enabled, the EA only buys above the SMA and only sells below it. |
| **InpDeviation** | 20 | Maximum allowed slippage in points. |
| **InpMagic** | 193982 | Unique ID for the EA's trades, so it never confuses them with your manual trades or other EAs. |
Stop Loss & Take Profit
| Parameter | Default | Description |
|---|---|---|
| **InpATRPeriod** | 14 | ATR period used to measure market volatility. |
| **InpMinSLATR** | 0.5 | Minimum stop distance, in ATR. Stops will never be tighter than this. |
| **InpMaxSLATR** | 3.0 | Maximum stop distance, in ATR. Prevents stops from becoming too wide. |
| **InpRiskReward** | 2.0 | Take profit = stop distance × this value. 2.0 means reward is twice the risk. |
| **InpMaxSpreadFrac** | 0.30 | Skips the trade if the spread is more than 30% of the stop distance. |
Neural Network Settings
| Parameter | Default | Description |
|---|---|---|
| **InpHiddenNeurons** | 8 | Number of neurons in the hidden layer. More neurons = more learning capacity (8 is a good balance). |
| **InpAgents** | 3 | Number of AI agents in the ensemble. They vote together — more agents = more stable signals. |
| **InpTrainBars** | 500 | How many past candles the agents learn from. |
| **InpTrainEpochs** | 150 | How many training passes each agent performs. |
| **InpLearnRate** | 0.1 | How fast the agents learn. Lower = slower but steadier learning. |
| **InpSignalThreshold** | 0.60 | Minimum confidence (60%) required from the AI team before opening a trade. Raise it for fewer, safer trades. |
| **InpRetrainOnNewBar** | true | If enabled, agents retrain on every new candle to stay in sync with the market. |

