Sur l'ensemble des actifs scannés par le détecteur de double bottom, 202 ont été sélectionnés.
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 318.27$ | 359.03$ | 293.03$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 0.75$ | 0.86$ | 0.68$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 0.02$ | 0.02$ | 0.02$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 0.58$ | 0.63$ | 0.54$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 0.08$ | 0.09$ | 0.08$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 4.77$ | 5.11$ | 4.77$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 7.60$ | 8.17$ | 7.29$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 0.07$ | 0.08$ | 0.06$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 0.19$ | 0.21$ | 0.17$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 0.02$ | 0.02$ | 0.01$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 0.03$ | 0.04$ | 0.03$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 0.02$ | 0.02$ | 0.01$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 0.64$ | 0.72$ | 0.58$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 0.66$ | 0.73$ | 0.59$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 0.46$ | 0.49$ | 0.44$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 6.62$ | 8.32$ | 6.03$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 0.02$ | 0.02$ | 0.01$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 0.03$ | 0.04$ | 0.03$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 4.14$ | 4.33$ | 4.00$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 9.19$ | 10.04$ | 8.58$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 0.08$ | 0.09$ | 0.07$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 0.60$ | 0.73$ | 0.56$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 21.53$ | 25.37$ | 20.18$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 0.03$ | 0.04$ | 0.02$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 0.00$ | 0.00$ | 0.00$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 0.13$ | 0.14$ | 0.12$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 0.09$ | 0.10$ | 0.09$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 0.08$ | 0.08$ | 0.07$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 0.29$ | 0.31$ | 0.28$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 0.70$ | 0.81$ | 0.66$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 0.10$ | 0.11$ | 0.09$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 0.00$ | 0.00$ | 0.00$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 0.05$ | 0.06$ | 0.04$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 0.02$ | 0.02$ | 0.01$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 110,363.54$ | 115,228.21$ | 107,545.76$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 0.89$ | 0.99$ | 0.87$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 0.04$ | 0.05$ | 0.03$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 0.00$ | 0.00$ | 0.00$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 0.00$ | 0.00$ | 0.00$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 0.29$ | 0.32$ | 0.26$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 0.01$ | 0.01$ | 0.01$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 0.12$ | 0.15$ | 0.10$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 0.29$ | 0.33$ | 0.26$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 0.02$ | 0.02$ | 0.02$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 0.00$ | 0.00$ | 0.00$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 2,808.13$ | 3,065.78$ | 2,652.21$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 0.01$ | 0.01$ | 0.01$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 0.12$ | 0.14$ | 0.11$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 1.53$ | 1.73$ | 1.34$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 0.18$ | 0.23$ | 0.17$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 0.09$ | 0.10$ | 0.09$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 0.04$ | 0.04$ | 0.03$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 20.30$ | 21.00$ | 19.63$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 0.00$ | 0.00$ | 0.00$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 0.32$ | 0.36$ | 0.29$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 0.38$ | 0.40$ | 0.36$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 0.05$ | 0.06$ | 0.04$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 0.18$ | 0.19$ | 0.16$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 3.45$ | 3.59$ | 3.33$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 96.22$ | 105.96$ | 87.07$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 0.56$ | 0.63$ | 0.51$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 0.13$ | 0.13$ | 0.12$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 13.62$ | 14.19$ | 13.09$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 0.20$ | 0.22$ | 0.19$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 0.00$ | 0.00$ | 0.00$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 0.07$ | 0.07$ | 0.06$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 22.83$ | 27.38$ | 20.88$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 0.49$ | 0.55$ | 0.45$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 0.99$ | 1.14$ | 0.89$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 2,637.96$ | 2,903.30$ | 2,475.00$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 0.01$ | 0.01$ | 0.01$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 2,755.41$ | 2,990.13$ | 2,613.36$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 2.33$ | 2.45$ | 2.24$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 0.43$ | 0.54$ | 0.41$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 0.00$ | 0.00$ | 0.00$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 2.32$ | 2.42$ | 2.23$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 3,016.81$ | 3,551.21$ | 2,913.85$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 0.34$ | 0.39$ | 0.30$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 2.08$ | 2.27$ | 1.93$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 0.01$ | 0.02$ | 0.01$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 0.42$ | 0.50$ | 0.36$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 0.01$ | 0.01$ | 0.01$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 0.44$ | 0.46$ | 0.42$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 0.09$ | 0.09$ | 0.08$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 0.08$ | 0.09$ | 0.08$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 0.00$ | 0.00$ | 0.00$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 0.16$ | 0.18$ | 0.15$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 2.49$ | 2.83$ | 2.19$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 0.04$ | 0.04$ | 0.03$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 0.00$ | 0.00$ | 0.00$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 0.25$ | 0.28$ | 0.23$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 4.91$ | 5.13$ | 4.70$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 0.02$ | 0.02$ | 0.02$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 10.52$ | 11.00$ | 10.08$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 0.53$ | 0.65$ | 0.48$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 4.09$ | 4.43$ | 3.84$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 34.49$ | 41.08$ | 30.02$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 0.17$ | 0.19$ | 0.15$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 0.01$ | 0.01$ | 0.01$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 37.19$ | 38.53$ | 36.39$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 11.52$ | 12.09$ | 11.35$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 0.47$ | 0.57$ | 0.42$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 0.01$ | 0.01$ | 0.01$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 0.06$ | 0.08$ | 0.05$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 2,824.87$ | 3,063.75$ | 2,686.89$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 0.40$ | 0.44$ | 0.37$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 0.04$ | 0.04$ | 0.04$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 0.16$ | 0.17$ | 0.14$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 0.00$ | 0.00$ | 0.00$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 0.01$ | 0.01$ | 0.01$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 0.20$ | 0.24$ | 0.18$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 7.58$ | 8.44$ | 6.96$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 0.60$ | 0.64$ | 0.55$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 6.56$ | 7.93$ | 6.13$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 38.87$ | 49.04$ | 33.65$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 0.35$ | 0.37$ | 0.32$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 2.22$ | 2.35$ | 2.11$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 5.81$ | 6.41$ | 5.30$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 0.00$ | 0.00$ | 0.00$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 22.24$ | 25.14$ | 21.44$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 7.70$ | 8.40$ | 7.18$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 0.02$ | 0.02$ | 0.02$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 0.02$ | 0.02$ | 0.02$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 2,616.25$ | 2,840.31$ | 2,482.90$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 0.05$ | 0.06$ | 0.05$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 0.13$ | 0.14$ | 0.12$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 0.03$ | 0.04$ | 0.02$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 3.08$ | 3.69$ | 2.78$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 2.31$ | 2.72$ | 2.07$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 0.00$ | 0.00$ | 0.00$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 3,170.68$ | 3,727.79$ | 3,068.21$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 0.17$ | 0.19$ | 0.16$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 8.73$ | 9.03$ | 8.44$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 4.00$ | 4.41$ | 3.70$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 0.44$ | 0.56$ | 0.41$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 0.10$ | 0.10$ | 0.09$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 0.12$ | 0.14$ | 0.11$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 0.19$ | 0.21$ | 0.18$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 0.13$ | 0.15$ | 0.12$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 0.14$ | 0.16$ | 0.12$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 0.16$ | 0.18$ | 0.15$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 0.87$ | 0.91$ | 0.85$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 0.02$ | 0.03$ | 0.02$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 102.40$ | 107.10$ | 99.54$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 0.02$ | 0.03$ | 0.02$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 0.93$ | 1.01$ | 0.87$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 2.27$ | 2.53$ | 2.02$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 0.01$ | 0.01$ | 0.01$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 0.01$ | 0.01$ | 0.01$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 0.23$ | 0.27$ | 0.20$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 0.00$ | 0.00$ | 0.00$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 13.76$ | 14.99$ | 12.99$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 0.00$ | 0.00$ | 0.00$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 0.25$ | 0.26$ | 0.24$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 26.06$ | 30.79$ | 24.60$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 0.45$ | 0.51$ | 0.40$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 0.00$ | 0.00$ | 0.00$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 0.01$ | 0.01$ | 0.01$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 0.02$ | 0.03$ | 0.02$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 0.27$ | 0.28$ | 0.26$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 0.03$ | 0.03$ | 0.03$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 156.42$ | 167.98$ | 145.25$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 7.98$ | 9.14$ | 7.00$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 0.08$ | 0.10$ | 0.07$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 2,626.65$ | 2,862.65$ | 2,478.63$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 0.26$ | 0.28$ | 0.24$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 0.06$ | 0.08$ | 0.06$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 0.67$ | 0.71$ | 0.64$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 3.09$ | 3.53$ | 2.82$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 0.03$ | 0.04$ | 0.03$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 0.02$ | 0.02$ | 0.02$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 0.80$ | 0.99$ | 0.71$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 0.62$ | 0.66$ | 0.59$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 3,299.50$ | 3,872.69$ | 3,195.97$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 0.04$ | 0.04$ | 0.03$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 0.30$ | 0.38$ | 0.27$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 1.68$ | 1.91$ | 1.54$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 8.74$ | 9.04$ | 8.45$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 0.03$ | 0.03$ | 0.02$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 0.00$ | 0.00$ | 0.00$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 7.87$ | 9.23$ | 6.78$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 0.05$ | 0.05$ | 0.04$ |
![Double bottom USDX [Lighthouse] USD(USDXUSD)](data:image/png;base64,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)
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 0.71$ | 0.73$ | 0.69$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 0.02$ | 0.02$ | 0.01$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 0.05$ | 0.06$ | 0.04$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 0.02$ | 0.02$ | 0.02$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 2,827.00$ | 3,102.95$ | 2,656.16$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 110,163.49$ | 115,035.14$ | 107,399.56$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 2,612.92$ | 2,825.79$ | 2,483.95$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 0.18$ | 0.21$ | 0.17$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 0.07$ | 0.07$ | 0.07$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 3,147.92$ | 3,400.45$ | 2,996.82$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 337.54$ | 377.50$ | 315.51$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 4.13$ | 4.84$ | 4.02$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 0.08$ | 0.10$ | 0.07$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 0.25$ | 0.27$ | 0.24$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 0.56$ | 0.61$ | 0.52$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 0.16$ | 0.18$ | 0.14$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 7.45$ | 8.01$ | 6.94$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 0.10$ | 0.11$ | 0.09$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 0.05$ | 0.05$ | 0.04$ |
| Neckline | Objectif | Stop Loss |
|---|---|---|
| 0.23$ | 0.25$ | 0.21$ |