Short Trade on GALA
The 18 Aug 2025 at 01:12:35
With 80321.5163 GALA at 0.01687$ per unit.
Position size of 1355.024 $
Take profit at 0.01672 (0.89 %) and Stop Loss at 0.01697 (0.59 %)
That's a 1.5 RR TradePrediction 1 | Probability |
---|---|
Weak Trade
|
0.85 |
Prediction 2 | Probability |
---|---|
0 | 0.7 |
Prediction 3 | Probability |
---|---|
0 | 0.5 |
Indicators:
Position size of 1355.024 $
Take profit at 0.01672 (0.89 %) and Stop Loss at 0.01697 (0.59 %)
That's a 1.5 RR TradeSimilar Trade Score: 34 %
Start at | Closed at | Duration |
---|---|---|
18 Aug 2025 01:12:35 |
18 Aug 2025 01:35:00 |
22 minutes |
Entry | Stop Loss | Take Profit | RR | Current Price |
---|---|---|---|---|
0.01687 | 0.01697 | 0.01672 | 1.5 | 0.01879 |
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 = 0.01697 - 0.01687 = 9.9999999999999E-5
Récompense (distance jusqu'au take profit):
E - TP = 0.01687 - 0.01672 = 0.00015
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = 0.00015 / 9.9999999999999E-5 = 1.5
Amount | Margin | Quantity | Leverage |
---|---|---|---|
1355.024 | 100 | 80321.5163 | 13.55 |
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 / 9.9999999999999E-5 = 80000
Taille de position USD = 80000 x 0.01687 = 1349.6
Donc, tu peux acheter 80000 avec un stoploss a 0.01697
Avec un position size USD de 1349.6$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = 80000 x 9.9999999999999E-5 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = 80000 x 0.00015 = 12
Si Take Profit atteint, tu gagneras 12$
Résumé
TP % Target | TP $ Target |
---|---|
0.89 % | 12.05 $ |
SL % Target | SL $ Target |
---|---|
0.59 % | 8.03 $ |
PNL | PNL % |
---|---|
12.05 $ | 0.89 |
Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
---|---|---|
0 % | 0 % | 0 |
Array
(
[2] => Array
(
[take_profit] => 0.01667
[stop_loss] => 0.01697
[rr_ratio] => 2
[closed_at] => 2025-08-18 01:40:00
[result] => win
)
[2.5] => Array
(
[take_profit] => 0.01662
[stop_loss] => 0.01697
[rr_ratio] => 2.5
[closed_at] => 2025-08-18 01:45:00
[result] => win
)
[3] => Array
(
[take_profit] => 0.01657
[stop_loss] => 0.01697
[rr_ratio] => 3
[closed_at] => 2025-08-18 02:20:00
[result] => win
)
[3.5] => Array
(
[take_profit] => 0.01652
[stop_loss] => 0.01697
[rr_ratio] => 3.5
[closed_at] => 2025-08-18 02:20:00
[result] => win
)
[4] => Array
(
[take_profit] => 0.01647
[stop_loss] => 0.01697
[rr_ratio] => 4
[closed_at] => 2025-08-18 02:30:00
[result] => win
)
[4.5] => Array
(
[take_profit] => 0.01642
[stop_loss] => 0.01697
[rr_ratio] => 4.5
[closed_at] => 2025-08-18 02:40:00
[result] => win
)
[5] => Array
(
[take_profit] => 0.01637
[stop_loss] => 0.01697
[rr_ratio] => 5
[closed_at] => 2025-08-18 02:45:00
[result] => win
)
[5.5] => Array
(
[take_profit] => 0.01632
[stop_loss] => 0.01697
[rr_ratio] => 5.5
[closed_at] => 2025-08-18 05:15:00
[result] => win
)
)
Array
(
)
Array
(
[short_term] => Array
(
[max_gain] => 0.0005
[max_drawdown] => 1.0E-6
[rr_ratio] => 100
[high] => 0.01684000
[low] => 0.01637000
[mfe_pct] => 2.96
[mae_pct] => -0.18
[mfe_mae_ratio] =>
[candles_analyzed] => 24
[start_at] => 2025-08-18T01:12:35-04:00
[end_at] => 2025-08-18T03:12:35-04:00
)
[long_term] => Array
(
[max_gain] => 0.00058
[max_drawdown] => 1.0E-6
[rr_ratio] => 100
[high] => 0.01684000
[low] => 0.01629000
[mfe_pct] => 3.44
[mae_pct] => -0.18
[mfe_mae_ratio] =>
[candles_analyzed] => 84
[start_at] => 2025-08-18T01:12:35-04:00
[end_at] => 2025-08-18T08:12:35-04:00
)
[breakout] => Array
(
[high_before] => 0.01718000
[high_after] => 0.01684000
[low_before] => 0.01634000
[low_after] => 0.01629000
[is_new_high] =>
[is_new_low] => 1
)
)