Short Trade on 1000000MOG
The 15 Aug 2025 at 02:05:41
With 1004.5166 1000000MOG at 1.2662$ per unit.
Position size of 1271.919 $
Take profit at 1.2543 (0.94 %) and Stop Loss at 1.2742 (0.63 %)
That's a 1.49 RR TradePrediction 1 | Probability |
---|---|
Strong Trade
|
0.52 |
Prediction 2 | Probability |
---|---|
1 | 0.55 |
Prediction 3 | Probability |
---|---|
1 | 0.6 |
Indicators:
Position size of 1271.919 $
Take profit at 1.2543 (0.94 %) and Stop Loss at 1.2742 (0.63 %)
That's a 1.49 RR TradeSimilar Trade Score: -40.91 %
Start at | Closed at | Duration |
---|---|---|
15 Aug 2025 02:05:41 |
15 Aug 2025 03:00:00 |
54 minutes |
Entry | Stop Loss | Take Profit | RR | Current Price |
---|---|---|---|---|
1.2662 | 1.2742 | 1.2543 | 1.49 | 1.1315 |
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 = 1.2742 - 1.2662 = 0.008
Récompense (distance jusqu'au take profit):
E - TP = 1.2662 - 1.2543 = 0.0119
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = 0.0119 / 0.008 = 1.4875
Amount | Margin | Quantity | Leverage |
---|---|---|---|
1271.919 | 100 | 1004.5166 | 12.72 |
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 / 0.008 = 1000
Taille de position USD = 1000 x 1.2662 = 1266.2
Donc, tu peux acheter 1000 avec un stoploss a 1.2742
Avec un position size USD de 1266.2$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = 1000 x 0.008 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = 1000 x 0.0119 = 11.9
Si Take Profit atteint, tu gagneras 11.9$
Résumé
TP % Target | TP $ Target |
---|---|
0.94 % | 11.95 $ |
SL % Target | SL $ Target |
---|---|
0.63 % | 8.04 $ |
PNL | PNL % |
---|---|
11.95 $ | 0.94 |
Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
---|---|---|
-0.3712 % | 58.75 % | 8 |
Array
(
[2] => Array
(
[take_profit] => 1.2502
[stop_loss] => 1.2742
[rr_ratio] => 2
[closed_at] => 2025-08-15 03:25:00
[result] => win
)
[2.5] => Array
(
[take_profit] => 1.2462
[stop_loss] => 1.2742
[rr_ratio] => 2.5
[closed_at] => 2025-08-15 04:50:00
[result] => win
)
[3] => Array
(
[take_profit] => 1.2422
[stop_loss] => 1.2742
[rr_ratio] => 3
[closed_at] => 2025-08-15 05:15:00
[result] => win
)
[3.5] => Array
(
[take_profit] => 1.2382
[stop_loss] => 1.2742
[rr_ratio] => 3.5
[closed_at] => 2025-08-15 05:25:00
[result] => win
)
[4] => Array
(
[take_profit] => 1.2342
[stop_loss] => 1.2742
[rr_ratio] => 4
[closed_at] => 2025-08-15 05:25:00
[result] => win
)
[4.5] => Array
(
[take_profit] => 1.2302
[stop_loss] => 1.2742
[rr_ratio] => 4.5
[closed_at] => 2025-08-15 05:55:00
[result] => win
)
[5] => Array
(
[take_profit] => 1.2262
[stop_loss] => 1.2742
[rr_ratio] => 5
[closed_at] => 2025-08-15 07:10:00
[result] => win
)
[5.5] => Array
(
[take_profit] => 1.2222
[stop_loss] => 1.2742
[rr_ratio] => 5.5
[closed_at] => 2025-08-15 07:15:00
[result] => win
)
)
Array
(
)
Array
(
[short_term] => Array
(
[max_gain] => 0.0177
[max_drawdown] => 0.0046999999999999
[rr_ratio] => 3.77
[high] => 1.27090000
[low] => 1.24850000
[mfe_pct] => 1.4
[mae_pct] => 0.37
[mfe_mae_ratio] => 3.77
[candles_analyzed] => 24
[start_at] => 2025-08-15T02:05:41-04:00
[end_at] => 2025-08-15T04:05:41-04:00
)
[long_term] => Array
(
[max_gain] => 0.0578
[max_drawdown] => 0.0046999999999999
[rr_ratio] => 12.3
[high] => 1.27090000
[low] => 1.20840000
[mfe_pct] => 4.56
[mae_pct] => 0.37
[mfe_mae_ratio] => 12.3
[candles_analyzed] => 84
[start_at] => 2025-08-15T02:05:41-04:00
[end_at] => 2025-08-15T09:05:41-04:00
)
[breakout] => Array
(
[high_before] => 1.26790000
[high_after] => 1.27090000
[low_before] => 1.24440000
[low_after] => 1.22090000
[is_new_high] =>
[is_new_low] => 1
)
)