Short Trade on GRASS
The 01 Aug 2025 at 10:48:52
With 1200.3881 GRASS at 0.7155$ per unit.
Position size of 858.8777 $
Take profit at 0.7055 (1.4 %) and Stop Loss at 0.7222 (0.94 %)
That's a 1.49 RR TradePrediction 1 | Probability |
---|---|
Weak Trade
|
0.87 |
Prediction 2 | Probability |
---|---|
0 | 0.54 |
Prediction 3 | Probability |
---|---|
0 | 0.76 |
Indicators:
Position size of 858.8777 $
Take profit at 0.7055 (1.4 %) and Stop Loss at 0.7222 (0.94 %)
That's a 1.49 RR TradeSimilar Trade Score: -25.91 %
Start at | Closed at | Duration |
---|---|---|
01 Aug 2025 10:48:52 |
01 Aug 2025 11:05:00 |
16 minutes |
Entry | Stop Loss | Take Profit | RR | Current Price |
---|---|---|---|---|
0.7155 | 0.7222 | 0.7055 | 1.49 | 0.8076 |
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:
Calcul:
Risque (distance jusqu'au stop loss) :
SL - E = 0.7222 - 0.7155 = 0.0066999999999999
Récompense (distance jusqu'au take profit):
E - TP = 0.7155 - 0.7055 = 0.01
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = 0.01 / 0.0066999999999999 = 1.4925
Amount | Margin | Quantity | Leverage |
---|---|---|---|
858.8777 | 100 | 1200.3881 | 8.59 |
1. Déterminer le montant risqué sur ce trade
Risk Amount = Capital x Risk per trade
Paramètres:
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:
Taille de position = 8 / 0.0066999999999999 = 1194.03
Taille de position USD = 1194.03 x 0.7155 = 854.33
Donc, tu peux acheter 1194.03 avec un stoploss a 0.7222
Avec un position size USD de 854.33$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = 1194.03 x 0.0066999999999999 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = 1194.03 x 0.01 = 11.94
Si Take Profit atteint, tu gagneras 11.94$
Résumé
TP % Target | TP $ Target |
---|---|
1.4 % | 12 $ |
SL % Target | SL $ Target |
---|---|
0.94 % | 8.04 $ |
PNL | PNL % |
---|---|
12 $ | 1.40 |
Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
---|---|---|
0 % | 0 % | 0 |
Array
(
[2] => Array
(
[take_profit] => 0.7021
[stop_loss] => 0.7222
[rr_ratio] => 2
[closed_at] => 2025-08-01 11:15:00
[result] => win
)
[2.5] => Array
(
[take_profit] => 0.69875
[stop_loss] => 0.7222
[rr_ratio] => 2.5
[closed_at] => 2025-08-01 11:15:00
[result] => win
)
[3] => Array
(
[take_profit] => 0.6954
[stop_loss] => 0.7222
[rr_ratio] => 3
[closed_at] => 2025-08-01 12:40:00
[result] => win
)
[3.5] => Array
(
[take_profit] => 0.69205
[stop_loss] => 0.7222
[rr_ratio] => 3.5
[closed_at] => 2025-08-01 12:55:00
[result] => win
)
[4] => Array
(
[take_profit] => 0.6887
[stop_loss] => 0.7222
[rr_ratio] => 4
[closed_at] => 2025-08-01 13:00:00
[result] => win
)
[4.5] => Array
(
[take_profit] => 0.68535
[stop_loss] => 0.7222
[rr_ratio] => 4.5
[closed_at] => 2025-08-01 13:00:00
[result] => win
)
[5] => Array
(
[take_profit] => 0.682
[stop_loss] => 0.7222
[rr_ratio] => 5
[closed_at] => 2025-08-01 14:00:00
[result] => win
)
[5.5] => Array
(
[take_profit] => 0.67865
[stop_loss] => 0.7222
[rr_ratio] => 5.5
[closed_at] => 2025-08-01 14:15:00
[result] => win
)
)
Array
(
)
Array
(
[short_term] => Array
(
[max_gain] => 0.0204
[max_drawdown] => 1.0E-6
[rr_ratio] => 100
[high] => 0.71500000
[low] => 0.69510000
[mfe_pct] => 2.85
[mae_pct] => -0.07
[mfe_mae_ratio] =>
[candles_analyzed] => 24
[start_at] => 2025-08-01T10:48:52-04:00
[end_at] => 2025-08-01T12:48:52-04:00
)
[long_term] => Array
(
[max_gain] => 0.0381
[max_drawdown] => 1.0E-6
[rr_ratio] => 100
[high] => 0.71500000
[low] => 0.67740000
[mfe_pct] => 5.32
[mae_pct] => -0.07
[mfe_mae_ratio] =>
[candles_analyzed] => 84
[start_at] => 2025-08-01T10:48:52-04:00
[end_at] => 2025-08-01T17:48:52-04:00
)
[breakout] => Array
(
[high_before] => 0.71640000
[high_after] => 0.71500000
[low_before] => 0.68160000
[low_after] => 0.67740000
[is_new_high] =>
[is_new_low] => 1
)
)