Short Trade on IN
The 19 Aug 2025 at 04:56:37
With 8308.7645 IN at 0.082$ per unit.
Position size of 681.3187 $
Take profit at 0.08056 (1.76 %) and Stop Loss at 0.08296 (1.17 %)
That's a 1.5 RR TradePrediction 1 | Probability |
---|---|
Weak Trade
|
0.56 |
Prediction 2 | Probability |
---|---|
0 | 0.84 |
Prediction 3 | Probability |
---|---|
0 | 0.92 |
Indicators:
Position size of 681.3187 $
Take profit at 0.08056 (1.76 %) and Stop Loss at 0.08296 (1.17 %)
That's a 1.5 RR TradeSimilar Trade Score: -69 %
Start at | Closed at | Duration |
---|---|---|
19 Aug 2025 04:56:37 |
19 Aug 2025 07:05:00 |
2 hours |
Entry | Stop Loss | Take Profit | RR | Current Price |
---|---|---|---|---|
0.082 | 0.08296 | 0.08056 | 1.5 | 0.07081 |
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 = 0.08296 - 0.082 = 0.00096
Récompense (distance jusqu'au take profit):
E - TP = 0.082 - 0.08056 = 0.00144
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = 0.00144 / 0.00096 = 1.5
Amount | Margin | Quantity | Leverage |
---|---|---|---|
681.3187 | 100 | 8308.7645 | 6.81 |
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 / 0.00096 = 8333.33
Taille de position USD = 8333.33 x 0.082 = 683.33
Donc, tu peux acheter 8333.33 avec un stoploss a 0.08296
Avec un position size USD de 683.33$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = 8333.33 x 0.00096 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = 8333.33 x 0.00144 = 12
Si Take Profit atteint, tu gagneras 12$
Résumé
TP % Target | TP $ Target |
---|---|
1.76 % | 11.96 $ |
SL % Target | SL $ Target |
---|---|
1.17 % | 7.98 $ |
PNL | PNL % |
---|---|
11.96 $ | 1.76 |
Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
---|---|---|
-1.1098 % | 94.8 % | 7 |
Array
(
[2] => Array
(
[take_profit] => 0.08008
[stop_loss] => 0.08296
[rr_ratio] => 2
[closed_at] => 2025-08-19 07:40:00
[result] => win
)
[2.5] => Array
(
[take_profit] => 0.0796
[stop_loss] => 0.08296
[rr_ratio] => 2.5
[closed_at] => 2025-08-19 07:45:00
[result] => win
)
[3] => Array
(
[take_profit] => 0.07912
[stop_loss] => 0.08296
[rr_ratio] => 3
[closed_at] => 2025-08-19 10:20:00
[result] => win
)
[3.5] => Array
(
[take_profit] => 0.07864
[stop_loss] => 0.08296
[rr_ratio] => 3.5
[closed_at] => 2025-08-19 10:25:00
[result] => win
)
[4] => Array
(
[take_profit] => 0.07816
[stop_loss] => 0.08296
[rr_ratio] => 4
[closed_at] => 2025-08-19 10:25:00
[result] => win
)
[4.5] => Array
(
[take_profit] => 0.07768
[stop_loss] => 0.08296
[rr_ratio] => 4.5
[closed_at] => 2025-08-19 10:25:00
[result] => win
)
[5] => Array
(
[take_profit] => 0.0772
[stop_loss] => 0.08296
[rr_ratio] => 5
[closed_at] => 2025-08-19 10:30:00
[result] => win
)
[5.5] => Array
(
[take_profit] => 0.07672
[stop_loss] => 0.08296
[rr_ratio] => 5.5
[closed_at] => 2025-08-19 10:40:00
[result] => win
)
)
Array
(
)
Array
(
[short_term] => Array
(
[max_gain] => 0.00113
[max_drawdown] => 0.00090999999999999
[rr_ratio] => 1.24
[high] => 0.08291000
[low] => 0.08087000
[mfe_pct] => 1.38
[mae_pct] => 1.11
[mfe_mae_ratio] => 1.24
[candles_analyzed] => 24
[start_at] => 2025-08-19T04:56:37-04:00
[end_at] => 2025-08-19T06:56:37-04:00
)
[long_term] => Array
(
[max_gain] => 0.0065
[max_drawdown] => 0.00090999999999999
[rr_ratio] => 7.14
[high] => 0.08291000
[low] => 0.07550000
[mfe_pct] => 7.93
[mae_pct] => 1.11
[mfe_mae_ratio] => 7.14
[candles_analyzed] => 84
[start_at] => 2025-08-19T04:56:37-04:00
[end_at] => 2025-08-19T11:56:37-04:00
)
[breakout] => Array
(
[high_before] => 0.08274000
[high_after] => 0.08291000
[low_before] => 0.07749000
[low_after] => 0.07642000
[is_new_high] =>
[is_new_low] => 1
)
)