Short Trade on LTC
The 15 Aug 2025 at 02:29:59
With 17.6284 LTC at 122.99$ per unit.
Position size of 2168.1153 $
Take profit at 122.3093 (0.55 %) and Stop Loss at 123.4438 (0.37 %)
That's a 1.5 RR TradePrediction 1 | Probability |
---|---|
Strong Trade
|
0.74 |
Prediction 2 | Probability |
---|---|
2 | 0.53 |
Prediction 3 | Probability |
---|---|
1 | 0.68 |
Indicators:
Position size of 2168.1153 $
Take profit at 122.3093 (0.55 %) and Stop Loss at 123.4438 (0.37 %)
That's a 1.5 RR TradeSimilar Trade Score: -39.55 %
Start at | Closed at | Duration |
---|---|---|
15 Aug 2025 02:29:59 |
15 Aug 2025 03:00:00 |
30 minutes |
Entry | Stop Loss | Take Profit | RR | Current Price |
---|---|---|---|---|
122.99 | 123.4438 | 122.3093 | 1.5 | 121.34 |
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 = 123.4438 - 122.99 = 0.4538
Récompense (distance jusqu'au take profit):
E - TP = 122.99 - 122.3093 = 0.6807
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = 0.6807 / 0.4538 = 1.5
Amount | Margin | Quantity | Leverage |
---|---|---|---|
2168.1153 | 100 | 17.6284 | 21.68 |
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 / 0.4538 = 17.63
Taille de position USD = 17.63 x 122.99 = 2168.31
Donc, tu peux acheter 17.63 avec un stoploss a 123.4438
Avec un position size USD de 2168.31$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = 17.63 x 0.4538 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = 17.63 x 0.6807 = 12
Si Take Profit atteint, tu gagneras 12$
Résumé
TP % Target | TP $ Target |
---|---|
0.55 % | 12 $ |
SL % Target | SL $ Target |
---|---|
0.37 % | 8 $ |
PNL | PNL % |
---|---|
12 $ | 0.55 |
Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
---|---|---|
-0.2439 % | 66.1 % | 4 |
Array
(
[2] => Array
(
[take_profit] => 122.0824
[stop_loss] => 123.4438
[rr_ratio] => 2
[closed_at] => 2025-08-15 03:00:00
[result] => win
)
[2.5] => Array
(
[take_profit] => 121.8555
[stop_loss] => 123.4438
[rr_ratio] => 2.5
[closed_at] => 2025-08-15 03:10:00
[result] => win
)
[3] => Array
(
[take_profit] => 121.6286
[stop_loss] => 123.4438
[rr_ratio] => 3
[closed_at] => 2025-08-15 03:20:00
[result] => win
)
[3.5] => Array
(
[take_profit] => 121.4017
[stop_loss] => 123.4438
[rr_ratio] => 3.5
[closed_at] => 2025-08-15 03:35:00
[result] => win
)
[4] => Array
(
[take_profit] => 121.1748
[stop_loss] => 123.4438
[rr_ratio] => 4
[closed_at] => 2025-08-15 03:50:00
[result] => win
)
[4.5] => Array
(
[take_profit] => 120.9479
[stop_loss] => 123.4438
[rr_ratio] => 4.5
[closed_at] => 2025-08-15 03:50:00
[result] => win
)
[5] => Array
(
[take_profit] => 120.721
[stop_loss] => 123.4438
[rr_ratio] => 5
[closed_at] => 2025-08-15 05:25:00
[result] => win
)
[5.5] => Array
(
[take_profit] => 120.4941
[stop_loss] => 123.4438
[rr_ratio] => 5.5
[closed_at] => 2025-08-15 07:15:00
[result] => win
)
)
Array
(
)
Array
(
[short_term] => Array
(
[max_gain] => 2.05
[max_drawdown] => 0.30000000000001
[rr_ratio] => 6.83
[high] => 123.29000000
[low] => 120.94000000
[mfe_pct] => 1.67
[mae_pct] => 0.24
[mfe_mae_ratio] => 6.83
[candles_analyzed] => 24
[start_at] => 2025-08-15T02:29:59-04:00
[end_at] => 2025-08-15T04:29:59-04:00
)
[long_term] => Array
(
[max_gain] => 2.87
[max_drawdown] => 0.30000000000001
[rr_ratio] => 9.57
[high] => 123.29000000
[low] => 120.12000000
[mfe_pct] => 2.33
[mae_pct] => 0.24
[mfe_mae_ratio] => 9.57
[candles_analyzed] => 84
[start_at] => 2025-08-15T02:29:59-04:00
[end_at] => 2025-08-15T09:29:59-04:00
)
[breakout] => Array
(
[high_before] => 123.04000000
[high_after] => 123.29000000
[low_before] => 121.49000000
[low_after] => 120.29000000
[is_new_high] =>
[is_new_low] => 1
)
)