Total Trades
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Open Positions
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Win Rate
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Profit Factor
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Total P&L
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Best Trade
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Worst Trade
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NN Accuracy
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📈 Live Signal Scanner
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📋 Open Positions
| ID | Symbol | TF | Direction | Entry | Stop | Target | Size | RSI D/W | NN Signal | Confidence | Date | Actions |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Loading... | ||||||||||||
📄 Closed Trades
| ID | Symbol | TF | Direction | Entry | Exit | P&L % | P&L $ | RSI D/W/M | NN Signal | Exit Date |
|---|---|---|---|---|---|---|---|---|---|---|
| No closed trades yet. | ||||||||||
🏆 Performance Summary
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By Timeframe
| Timeframe | Trades | Wins | Win Rate | Total P&L $ |
|---|---|---|---|---|
| No data. | ||||
🧠 Neural Net RSI Status
Architecture
10→24→12→3
Training Samples
0
Accuracy
50%
Experience Buffer
0
Learning Rate
0.008
History Window
0
Inputs: RSI_D / RSI_W / RSI_M / RSI_Q / Slope_D / Slope_W / Trend_200d / Trend_50d / Vol_Ratio / ATR_pct
→ ReLU(24) → ReLU(12) → Softmax(3) [BUY / SELL / HOLD]
Manual Learning Injection
Teach the neural net by providing a feature vector (from a signal card) and the known correct outcome.