Trade
sell - ETH
📌 Données temporelles
Start at | Closed at | Duration |
---|---|---|
2025-03-28 19:07:59 | 2025-03-28 19:25:00 | 17 minutes |
📌 Informations d'entrée et sortie
Entry | Stop Loss | Take Profit | RR | Current Price |
---|---|---|---|---|
1900 | 1905 | 1892 | 1.6 | 1615 |
Pour calculer le Risk-Reward Ratio (RRR) sur un trade short, on utilise la formule :
RRR = Distance jusqu'au Take Profit ÷ Distance jusqu'au Stop Loss
Détails du trade:
- Entry 1900
- Stop Loss: 1905
- Take Profit: 1892
Calcul:
-
Risque (distance jusqu'au stop loss) :
SL - E = 1905 - 1900 = 5
-
Récompense (distance jusqu'au take profit):
E - TP = 1900 - 1892 = 8
-
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = 8 / 5 = 1.6
📌 Informations de position et de gestion du risque
Amount | Margin | Quantity | Leverage |
---|---|---|---|
2883 | 2883 | 1.517 | 28.83 |
1. Déterminer le montant risqué sur ce trade
Risk Amount = Capital x Risk per trade
Paramètres:
- Account Size 100
- Risk per trade 8 %
Risk Amount = 100 x 0.08 = 8
Donc, tu es prêt à perdre 8$ maximum sur ce trade
2. Calcul Risk per Share / Nombre d'unité à acheter
Taille de position = Risk Amount / Distance Stop Loss
Taille de position USD = Taille de position x Entry Price
Paramètres:
- Risk Amount 8
- Distance Stop Loss 5
Taille de position = 8 / 5 = 1.6
Taille de position USD = 1.6 x 1900 = 3040
Donc, tu peux acheter 1.6 avec un stoploss a 1905
Avec un position size USD de 3040$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = 1.6 x 5 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = 1.6 x 8 = 12.8
Si Take Profit atteint, tu gagneras 12.8$
Résumé
- Taille de position 1.6
- Taille de position USD 3040
- Perte potentielle 8
- Gain potentiel 12.8
- Risk-Reward Ratio 1.6
📌 Peformances
TP % Target | TP $ Target |
---|---|
0.42 % | 12 $ |
SL % Target | SL $ Target |
---|---|
0.26 % | 7.6 $ |
RR | PNL | PNL % | Max Drawdown |
---|---|---|---|
1.6 | 12 $ | 0.42 | 0 |
📌 ML Extra Data
Extra RRR data
Array
(
[2] => Array
(
[take_profit] => 1890
[stop_loss] => 1905
[rr_ratio] => 2
[closed_at] => 2025-03-28 20:15:00
[result] => loss
)
[2.5] => Array
(
[take_profit] => 1887.5
[stop_loss] => 1905
[rr_ratio] => 2.5
[closed_at] => 2025-03-28 20:15:00
[result] => loss
)
[3] => Array
(
[take_profit] => 1885
[stop_loss] => 1905
[rr_ratio] => 3
[closed_at] => 2025-03-28 20:15:00
[result] => loss
)
[3.5] => Array
(
[take_profit] => 1882.5
[stop_loss] => 1905
[rr_ratio] => 3.5
[closed_at] => 2025-03-28 20:15:00
[result] => loss
)
[4] => Array
(
[take_profit] => 1880
[stop_loss] => 1905
[rr_ratio] => 4
[closed_at] => 2025-03-28 20:15:00
[result] => loss
)
[4.5] => Array
(
[take_profit] => 1877.5
[stop_loss] => 1905
[rr_ratio] => 4.5
[closed_at] => 2025-03-28 20:15:00
[result] => loss
)
[5] => Array
(
[take_profit] => 1875
[stop_loss] => 1905
[rr_ratio] => 5
[closed_at] => 2025-03-28 20:15:00
[result] => loss
)
)
Extra SL data
Array
(
)